Kemi Funmilayo Omotesho1*, Isreal Ogunlade1, Opeyemi Eyitayo Ayinde2

...cs, Likert scale and the regression analysis. The study revealed that farmers perceived the level of accountability of extension to farmers in the study area as poor. Level of education, access to training and membership of farmer-groups negatively influenced accountability at p<0.05. Based on the findings of the study, it is recommended that agricultural extension policies that will ensure accountability of extension to farmers should be put in place. Farm...

 David F. Bradley*, Julie J. Exline, Alex Uzdavines

...l. Using correlation and regression, we found that personality factors (Big Five personality traits, adult attachment style, and socially desirable responding) were not strong predictors of the characteristics nonbelievers assign to hypothetical gods. Seeing a hypothetical god as more loving, less cruel, and less distant was associated with more past positive emotional experiences with gods, less past anger at gods, less participation in explicitly nonreligiou...

Rabnawaz1*, Muhammad Jamal Khan2, Tahir Sarwar2, Mohammad Jamal Khan3

... carried out using dummy-regression model. The difference in means for maize, sugarcane and tomato crop was found highly significant while in case of wheat it was non-significant. This study concludes that the public system remained more productive with high CWP at farm level for all the major crops. However, there is a great potential for increasing CWP under civil system by rationalizing the water allowance.

...

Muhammad Arif Zafar1, Murtaz-ul-Hasan1*, Aayesha Riaz1, Asim Shamim2, Muhammad Farooq Iqbal1 and Arfan Yousaf

E-mail | murtazhassan@yahoo.com

...dulators showed complete regression of the papillomas compared animals, which were treated with autogenous vaccine alone. The partial excision of the papillomas showed no obvious differences. In conclusion, autogenous vaccine synergistically affected the immune-modulators (Levamisole and Vitamin E + Selenium) in complete regression of the papillomas. It is effective to use autogenous vaccine along with immune-modul...

Abiodun D. Olabode

...’ responses; while regression model established significant relationships between rice yield and farm management methods adopted in this area. Results were presented using charts and tables. The study revealed that; chemical fertilizers, manual weeding and shifting cultivation are essential for rice cultivation in the study area; the regression model established strong influence of farm-size at R-value of 0.64 on the y...

Ecevit Eyduran1, Daniel Zaborski2*, Abdul Waheed3, Senol Celik4, Koksal Karadas5 and Wilhelm Grzesiak2

...among classification and regression trees (CART), chi-square automatic interaction detector (CHAID), radial basis function (RBF) networks and multilayer perceptrons with one (MLP1) and two (MLP2) hidden layers in body weight (BW) prediction from selected body measurements in the indigenous Beetal goat of Pakistan. Moreover, the results obtained with the data mining algorithms were compared with multiple linear regression (MR...
Yusuf Koc1, Ecevit Eyduran1* and Omer Akbulut2
...haustive CHAID, and CART regression tree methods for different combinations of parent node: child node in the data set regarding animal science. To achieve the aim, 1884 Mengali lambs were provided for predicting weaning weight from sex (male and female), birth type (single and twin), birth year (2005, 2006, 2007, 2008 and 2009), farm (Research station, Mastung, Quetta, and Noshki), birth weight, dam age, and dam weight. To choice the best
K.N. ArulJothi1, M. Abinaya1, B. Suruthi Abirami1, Melvin George2, S. Elangovan3 and A. Devi1*
...ibrium. Through logistic regression analysis, it was observed that, in Tamil population the CC and CT genotype carriers have higher odds of developing myocardial infarction (OR – 1.64 and  2.04 respectively) and for developing hypercholesterolemia (OR – 2.02 and 2.13 respectively). In the total population, the CC genotype carriers have significantly lower HDL-C (0.82 ± 0.04 mmol/L Vs, 0.9 ± 0.05 mmol/L (p<0.05)) and higher LDL...

Neelum Andaleeb, Munir Khan and Syed Attaullah Shah

...ticipation, and a linear regression model was used to determine factors affecting women’s involvement in livestock farming. Results reveal that women were mostly involved in almost all farming activities. The average composite index value is 4.81 which indicate that women were on average involved for 4.81 hours per day in livestock farming activities. Regression results show that respondent’s age, experience in l...

Usman Shakoor1*, Mudassar Rashid1, Abdul Saboor2, Nabila Khurshid1, Zuhair Husnain2 and Abdul Rehman2

...udy employed vector auto regression models (VAR) along with times series data from 1980 to 2013 for Pakistan to estimate the potential effects of climate change on Maize production. Result professed that average temperature will affect Maize crop negatively bringing about 6% reduction in maize production till the year 2030. Average minimum temperature brought about 9% increases in maize production till 2021. Increase in overall rainfall will also benefits Maiz...

M. D. Maji, N.K.Das, S. Chatterjee, A. Ghosh and A.K. Bajpai

Forecasting models of bacterial leaf spot disease of mulberry for Birbhum district of West Bengal
...days. Step down multiple regression analysis revealed that the forecasting of BLS could best be done from min temp, minimum relative humidity and number of rainy days.

...

1S. A. Khan and 2S. Jha

Effect of dates of sowing, moisture regimes, varieties and weather factors on incidences of aphid, Lipaphis erysimi (Kalt.) in rape and mustard
...opulation. Weather based regression models, which had coefficients of determination (R2) being significant at 1 % level of significance, were able to account for 59 to 69 % of total variation in aphid population. It is concluded that weather thresholds as identified and regression models developed, along with medium range weather forecasts of 5 days available from India Meteorological Department (IMD), could be useful to for...

Sitansu Pan and N. K. Mishra

Epidemiological studies on some diseases of guava (Psidium guajava L.)
... predictive purpose from regression equations. The simple correlation coefficient matrix showed significantly positive correlation of canker severity with maximum relative humidity at 1% level whereas, anthracnose correlated well with minimum relative humidity, temperature and number of rainy days at 5% level. The negative correlation was obtained for stem canker and dry rot with all parameters at 1% significant level. In case of Phytophthora fruit rot, positi...
Bao-Ming Ge* Dai-Zhen Zhang, Qiu-Ning Liu, Sen-Hao Jiang, Jun Cui, Chun-Lin Zhou and Bo-Ping Tang
... Iowa’s patchiness regression methods in each season (P< 0.001). The abundances were markedly affected by habitat type (F5,120 = 49.409, P < 0.001) and season (F3,120 = 13.577, P < 0.001), however, there was no significant interaction of habitat type and season (F15,120 = 0.529, P = 0.919). The abundances distribution was significantly different among habitats in each season as shown by one-way ANOVA, the higher ...
Mazher Abbas1, Irfan Mahmood1*, Arshed Bashir1, Tahir Mehmood2, Khalid Mahmood1 and Zubair Ikram1
... respondents. The binary regression model has been used to evaluate the effect of different socio-economic variables on the adoption response of different recommended production practice for citrus. Average age, education and experience of the citrus growers were estimated 43.92 years, 9.74 schooling years and 17.72 years respectively. The awareness and adoption of recommended citrus practices was generally good. The results of the logit model for adoption of ...

Fawad Ali1*, Hidayat Ullah2, Ikhtiar Khan1

...udied localities. Linear regression analysis indicates that concentration of the heavy metal (Pb, Cr, Cd, Ni, Zn) in vegetables are significantly correlated at R2 value of 0.956 at P≤0.001 with their extractable concentration in soil. Health risk index (HRI) has been found>1 for Pb in Abelmoschus esculentus while rest of the heavy metals have been noted less than 1 indicating relative absence of risk concerned with ingestion of adulterated vegetables. Th...

Mian Ahmad Raza*, Ghulam Hassan and Naqib Ullah Khan 

...1. Negative intercept of regression line indicated the major role of over-dominance in the inheritance of plant height, spikelets spike-1while for grains spike-1 the positive intercept of regression line indicated predominance of partial dominance in inheritance.F1 cross combination FS × JNB were observed as good specific combiners for spike length, while hybrids FS × SRN and BST × S2K were revealed as good...
Ambreen Butt1, Uzma Malik2, Khadija Waheed3, Amna Khanum3, Samar Firdous4, Sara Ejaz5 and Fawad Randhawa2, Tania Shakoori6*
... U test. Multiple linear regression was used to investigate the association of cobalamin with fasting blood sugar level after adjusting for gestational age and gravidity. ROC curve analysis was conducted to assess the suitability cobalamin as a predictive biomarker for GDM. Median cobalamin were significantly reduced in cases (108.95±92 pg/mL) as compared to controls (173±90 pg/mL) at p<0.001. Low vitamin B12 levels (β = -0.29, p=0.004) s...
Shahid Hussain Farooqi1,*, Muhammad Ijaz1, Muhammad Hassan Saleem1, Muhammad Imran Rashid2, Muhammad Oneeb2, Amjad Khan3, Amjad Islam Aqib1 and Shakeel Mahmood4
...uo;s Chi-square test and regression model were applied to analyze the data. The results of study found Rhepicephalus the most prevalent genus followed by Heamaphysalis, Hyalomma, Dermacenter and Amblyomma with the prevalence of 78.50%, 10.33%, 10.08%, 0.67% and 0.42%, respectively. On species basis, R. (Boophilus) annulatus, R. (Boophilus) microplus, Heamaphysalis aciculifer, R. appendiculatus, and R. decoloratus
Semra Benzer1,* and Recep Benzer2
...eural network and linear regression models goodness of fit. The results of the current study show that ANNs can be a superior estimation tool compared to LWR equation. Thus, as an outcome of the present study, ANNs can be considered as a finer method especially in the growth estimation of the species in biological systems. Another outcome of this study is that crayfish of Uluabat Lake well accommodates itself to the ecologic features of the environment and so ...
İbrahim Aytekin1,*, Ecevit Eyduran2, Koksal Karadas3, Rifat Akşahan4 and İsmail Keskin1
...ithm as a non-parametric regression technique was implemented. To measure predictive accuracy of MARS, model evaluation criteria such as coefficient of determination (R2), adjusted coefficient of determination (R2ADJ), SDRATIO andPearson coefficient (r) between actual and predicted values in fattening final live weight were calculated. To reveal the highest predictive ability in the MARS algorithm, numbers of terms a...

SHARIF UDDIN, MD. HASIBUL HASAN, MOHAMMED MAHBUB IQBAL, MOHAMMAD AMZAD HOSSAIN

...ositive relation with regression co-efficient of 0.9603 and 0.9265 respectively which indicate that with the increase of body and gonad weight, fecundity was also increased. Microscopic observation of matured female ovary during June to July revealed group asynchronous development. Microscopic observation on matured testes found spermatocytes, spermatids and spermatozoa stages during the month of June and July.

Safdar Ali1*, Ghulam Abbas Shah1, Muhammad Naveed Tahir1, Shahid Mehmood2, Asim Gulzar3 , Ijaz Ahmad4 and Bashir Ahmad Khan5 

...ell as 1 MBP + 4 CS. The regression analysis proved that soil moisture content and bulk density have a great association with tillage systems, whereas, the correlation analysis proved that soil porosity and tillage intensity have a strong and positive correlation with wheat grain yield. In conclusion soil moisture dynamics can be improved by combine use of no-till and glyphosate herbicide (NT + GH)while soil porosity, its productivity and wheat economical yiel...
Tania Ahmed Shakoori1,*, Muhammad Saqib Saeed2, Asif Hanif2, Saima Mukhtar3 and Ayesha Ghauri4 
...r. Three multiple linear regression models were created with mid maximal expiratory flow, FEV1, and FVC as surrogate markers for lung function in different models. We found that 28 (20.4%) of our COPD patients were frequent exacerbators. All three multiple linear regression models for identifying risk factors for frequent exacerbations were significant (p< 0.001). The model in which mid maximal expiratory flow was used as...

Imran Khan*, Zahir Shah, Wiqar Ahmad, Farmanullah Khan and Muhammad Sharif 

...here in their respective regression showed r2 values of 0.4, 0.22, 0.22 and 0.24 in ST and 0.24, 0.12, 0.55 and 0.33 in DT soil. The INM5:75,10:50, 15:25 recorded significantly higher Zn (60-83%), Cu (49-55%) and Fe (55-72%) over the farmers practice and only second after sole FYM 20 t ha-1 whilst the maximum Mn (115-145%) were observed in these treatments. The FYM5,10,15,20 reduced the BD significantly (p<0.01) by 7-12% and increased the porosity by 9-14%,...
Senol Celik1,* and Orhan Yilmaz2
...plied classification and regression tree (CART) and multivariate adaptive regression splines (MARS) approaches to estimate the most important variables in predicting the body weight of Turkish Tazi dogs. Using various body measurements, the CART algorithm proposed that withers height (WH), abdominal width (AW), rump height (RH) and chest depth (CD) can significant effect the body weight. Quantitatively, it was identified tha...

Wang Jian1, Abdur Rehman2*, Noor Khan3, Wang Zhengjia4, Ji Peng-fei5, Xie Cong6, Muhammad Niamatullah Khan Babar7 and Raheel Saqib8 

... to 29.355%.The study of regression analysis, MPC (marginal propensity to consume) and APC (Average propensity to consume) clearly shows that in the study area with the rise of rural households income, their consumption demand also increases. The relative co relational analysis shows, that the food consumption ranks first, household consumption has second, clothing consumption third, family equipment consumption fourth have highest close relation with the per ...

Bashir Ahmad1*, Ahmad-Ur-Rahman Saljoqi1, Hayad Zada2, Shahid Sattar1, Toheed Iqbal3, Saddam Hussain1 and Muhammad Saeed4 

Zahid Akram, Saif Ullah Ajmal, Ghulam Shabbir, Muhammad Munir and Nasir Mahmood Cheema

INHERITANCE MECHANISM OF SOME YIELD COMPONENTS IN BREAD WHEAT
...significant deviation of regression coefficient (b) from unity confirmed the suitability of additive-dominance model to account for the data analysis. The estimates of genetic component of variation in all the traits exhibited the preponderance of
over dominance gene action. The estimates of average degree of dominance for spike length (1.139), 1000 grain weight (1.421), number of spikelets spike-1 (2.293), number of grains spike-1 (1.631) and grai...

Golam Moula* and Sayedur Rahman**

...respectively. The fitted regression line equation for the root and shoot length was found as Y = 0.074 + 1.20 X, where X and Y are root and shoot length, respectively. The calculated value of ‘t’ (41.355) and correlation coefficient, ‘r’ (0.99) substantiates that there is a highly positively significant relationship between root and shoot length at 0.01% level of significance. The overall percentage of seed germination (mean ± SD...
Mustafa Sahin1,*, Esra Yavuz1 and Fatih Uckardes2
...IF values of the partial regression coefficients in the LS method were found to be quite high. Therefore, the RR and PCR methods were used as an alternative to LS. Compared with LS, PCR and RR led to small standard deviations and more accurate and more reliable partial regression coefficients. As a result, it was concluded that the use of RR and PCR analysis methods could be more accurate instead of the LS method under multi...

 Naheed Zahra*, Muhammad Zubair Anwar*, Sonila Hassan** and Irfan Mehmood**

INSTITUTIONAL CREDIT ARRANGEMENT AND THEIR IMPLICATION ON AGRICULTURAL INCOME IN THE SELECTED VILLAGES OF RAWALPINDI DISTRICT

 Muhammad Yasin Mirza*, Mubashir Ahmad Khan*, Muhammad Amjad* and Malik Shah Nawaz*

STABILITY ANALYSIS FOR ECONOMIC TRAITS IN SESAME ( L.)
...-I were larger than unit regression; hence were suitable for favourable environments for yield. Whereas, V-III and SangharI were with b-values less than unity indicating their below average response. For branches per plant, Sanghar-1 and S-17 had regression coefficients less than one with negative sign making them suitable only for poor environment. Four genotypes namely, Sanghar-I, S-17, PR-19-9-S, and Rattodero-1 had great...

 Abid Hussain*, Khalid Mahmood Aujla* and Nouman Badar*

YIELD GAP DETERMINANTS FOR WHEAT PRODUCTION IN MAJOR IRRIGATED CROPPING ZONES OF PUNJAB, PAKISTAN
...y. Ordinary least square regression analysis of wheat production by assuming Cobb-Douglas specification reveals that the number of irrigations, usage of farm yard manure and fertilizers contribute positively and significantly to wheat crop production. Coefficients of dummy variables for cropping zones indicate that farmers in the mixed cropping zone are obtaining better yield of the wheat crop as compared to their counterparts in other selected cropping zones....

 Usman Shakoor*, Abdul Saboor*, Irfan Baig*, Anila Afzal** and Abdul Rahman***

CLIMATE VARIABILITY IMPACTS ON RICE CROP PRODUCTION IN PAKISTAN

 Muhammad Shahzad*, Ayesha Tahir**, Naveed Jehan*** and Muhammad Luqman*

IMPACT OF DIFFERENT PACKAGING TECHNOLOGIES ON POSTHARVEST LOSSES OF STONE FRUITS IN SWAT PAKISTAN
...rential method. Multiple regression analysis was employed to find relation between post-harvest losses and different factors at three different stages. Findings of the study revealed the channel of cardboard box technology accounted for post-harvest losses of 10.49% while at farm level, losses were 2.90%, at wholesale level 1.45% and retail level the losses were 6.14%. On the other hand post-harvest losses were 14.24% in wooden box channel; in which 6.10% occu...

 Doulat Baig*, Fida Mohammad Abbasi*, Habib Ahmed*, Maqsood Qamar** and Muhammad Ayub Khan**

RESPONSE OF SUNFLOWER HYBRIDS TO DIFFERENT NITROGEN LEVELS FOR PHYSIOLOGICAL AND AGRONOMICAL TRAITS UNDER FIELD CONDITIONS
...eatment (N ). Polynomial regression line showed 0 -1 that the rate of yield increase was higher up to 180 kg N ha and become slow -1 thereafter. The hybrid SMH-0907 produced more achene (2736 kg ha ) as compared -1 to the hybrid SMH-0917 (2694 kg ha ). Results revealed that economized application of different doses of N can boost up the yield in both sunflower hybrids SMH-0907 and SMH-0917. These findings could be helpful in rationalizing most valuable inputs ...

 Hafiz Saqib Habib*, Arshad Mahmood Malik*, Abid Ali** and Muhammad Aamir Khan***

SOCIOECONOMIC DETERMINANTS OF RURAL HOUSEHOLD FOOD EXPENDITURES IN RAWALPINDI
...e. A multiple double log regression model was used because it has an advantage that estimated parameter can easily be explained as expendi-tures elasticity. This model is used to give details of responses in socioeconomic factors to monthly household food expenditures. Regression analysis showed that 23 % of the changes in the food expenditures were due to explanatory variables. Household incomes, marital status of household...

 Muneeb Zafar*, Tahir Mehmood**, Irfan Ahmad Baig**, Abdul Saboor** Mazher Abbas***, Shumaila Sadiq** and Khalid Mahmood****

ANALYTICAL DIAGNOSTICS OF NON-OPTIMAL USE OF PESTICIDES AND HEALTH HAZARDS FOR VEGETABLE PICKERS
...f vegetable pickers. The regression results showed that pesticides were being applied non-optimally in the study area i.e., number of pesticide applications for vegetables (7-31) were substantially higher than the recommended dose. Health cost function was significantly different from zero as 2 indicated by F-stat (32.18) and it is also supported by R that about 70% variation in health cost is explained by medication accompanied by productivity loss (Rs. 223),...

 Ummad-ud-Din Umar*, Muhammad Aslam Khan**, *Ateeq-urRehman*, Abdul Hannan***, Syed Atif Hasan Naqvi*, Azhar Ali Khan****, Muhammad Asif Zulfiqar****

DEVELOPMENT AND VALIDATION OF POTATO LEAF ROLL VIRUS DISEASE PREDICTION MODEL BASED ON ENVIRONMENTAL FACTORS FOR FAISALABAD, PAKISTAN
...ponse variable. Stepwise regression analysis was performed to select potentially useful predictor variables for model development. In stepwise regression analysis minimum temperature, relative humidity and rainfall emerged as the main contributing environmental variables for disease development. The model performance was evaluated based on coefficient of determination (R ) and the comparison of observed and predicted disease...

Ejaz Ashraf1*, Hafiz Khurram Shurjeel2 and Zafarullah Baloch3 

...lpha level. Results from regression analysis revealed that age, education and experience are strong predictors in the model to increase the knowledge level of the respondents for production, processing and marketing of the dates in district Panjgur.
 

...
 Nazia Qamar1, Sher Khan Panhwar1,* and Ralf Riedel2,*
... estimated with logistic regression, using the same independent variables as above. Prey importance was also investigated. Prey importance was assessed using a Wilcox Rank Correlation analysis on the Index of Relative Importance (IRI) by species and life-stage. Permanova analysis showed that fish was the most important dietary item for juveniles and adults. Adults secondarily preferred crustaceans. Fish was predominant for S. commersonnianus and crustac...
Riyadh S. Aljumaah*, Mohammed A. Alshaikh, Abdulrahman Jarelnabi, Mutassim M. Abdelrahman and Mansour F. Hussein
.../i> antibodies. Logistic regression analysis and estimation of odds ratio revealed significant association of the sex and location of the camels with N. caninum seropositivity. On the other hand, neither the breed nor age of the camels was significantly associated with seropositivity.Studies are needed to evaluate other potential risk factors and to assess the pathogenic effects and economic consequences of neosporosis in camels.
...

Muhammad Iftikharul Husnain1, Aneel Salman1, Inayatullah Jan2*, Tahir Mahmood3 

...eliable estimates of the regression coefficients. Policymakers should pay more attention to combat negative impacts of rising temperature. This will have an impact on the agriculture and hence on the livelihood of the mass population residing in South Asian countries. 

...

Shahid Ali1* and Salamat Ali2  

...ing 2014. Dummy variable regression was applied for estimation and comparison of costs and revenues of open shed and EC shed broiler farms. Results revealed that there was statistically significant difference between the cost of production and net revenue of open shed and EC shed farms. Cost of production of open shed was PKR 247.22 per broiler and that of EC shed was PKR 221.61 per broiler. Gross revenue was PKR 257.489 per broiler for open shed and PKR 294.1...

Murad Khan1* and Muhammad Afzal2 

...it function and multiple regression model, analysis of variance (ANOVA) and independent t test were used. The average profit of large size farm was Rs. 85228 followed by medium and small farm that were Rs. 58049 and Rs. 36090 respectively. The results of independent sample t-test indicated that there is no significant difference between the profit of the sole proprietors and partnerships. Further results of analysis of variance (ANOVA) revealed that at 5% sign...
Yakup Erdal Erturk1, Adem Aksoy2 and Mohammad Masood Tariq3,*
...(MARS), a-non parametric regression technique, was used to develop a respectable prediction equation that can denote interaction effects of influential predictors in the definition of the influential factors on AFFLW as an output variable for male and female crossbred cattle. Several predictors in the current survey were province (Erzurum, Igdir, Kars and Agri), farmer age, educational level (illiterate, primary school, secondary school, high school, and colle...
Hongqun Li1, Xiaoli Liu2,*, Zhenmin Lian3,RenheWang4, Yongbin Wang4, Yongyao Fu1 andDingyi Wang5
...nation stepwise logistic regression was worked out with the above significantly different variables and their first-order interaction as independent variables. Finally, regression equation with the lower Akaike’s Information Criterion for small sample sizes (AICc) value was regarded as the optimal model. The model indicated that nest-site success of brown-eared pheasants was negatively related to cover of shrubs, and f...
Souheila Slimani1,*, Sonia Hamouda1, Chahrazed Souadi1, Sara Silini2, Cherif Abdennour2 and Leila Delimi3
...d by spontaneous gonadal regressionup to week 10. Consequently, an azospermia and lack of germ cells in control birds was noticed,which confirm the testicular regression.In the treated groups, thiram delayed the refractory phase along the experimental period, but testicular weight were superior in the treated pigeons compared to the control during the last weeks. Treated pigeons had more dead spermatozoa compared to the cont...
Yakup Erdal Ertürk
...y. Multivariate adaptive regression splines (MARS) as a non-parametric analysis technique was preferred in the description of the influential factors and their interaction effects for each gender. Some probable factors such as age, province, education level, experience, social security, lands, and the reason at performing animal production were recorded on breeders. Also, first fattening weight and fattening period of the beef cattle were recorded. It was dete...

Jahangir khan* and Abbas Ullah Jan 

...o pay (WTP) and a linear regression analysis conducted to identify important determinants of households’ WTP. Results show that 93% of respondents are willing to pay a price premium of PKR. 14. Empirical findings reveal that socio-demographic characteristics like age, education and income have positive significant effects on households’ willingness to pay. Findings of the study also reveal a significant influence of employment status of the househo...

Sadiqa Begum1, Murad Khan2* and Noor Pao Khan

... analysis while multiple regression model is used to estimate the relationship between inputs and output of wheat. Per acre yield of wheat production in district Mardan was 1809.032 kgs. while in district Peshawar it was 2143.230 kgs. Total cost of wheat per acre in district Peshawar was more than that of district Mardan. The net revenue from per acre wheat production was high in district Peshawar as compared to district Mardan. The results revealed that all t...
Adem Aksoy1, Yakup Erdal Ertürk2, Selim Erdoğan3, Ecevit Eyduran3 andMohammad Masood Tariq4,*
...erformed multiple linear regression, and CART in honey yield per hive. No solution for CHAID was generated. In CART algorithm, the highest honey yield per hive (51.250 kg) was obtained from the 33.5 or younger enterprises that performed only beekeeping activity. The four most influential predictors in the MARS were age of enterprise (100%), number of full beehives (100%), other races (97%), and other works except for beekeeping (90%). The best performance orde...
Gokhan Sahin1, Ecevit Eyduran2,*, Mete Turkoglu3 and Fatma Sahin2
...gh multivariate adaptive regression splines (MARS) data mining algorithm for multiple responses (Hd and Hm) with the support of R software program and the utility prediction equation was aimed to improve for further biodiversity investigations. To determine the predictive quality of the MARS algorithm, goodness of fit criteria viz. coefficient of determination (0.994 and 0.996 R2 for Hd and Hm), Generalized Cross Validation (0.000038 and 0.02...

Nusrat Habib1*, Asim Zubair2 and Aisha Siddiqua3 

...er Pakhtunkhwa, multiple regression analysis was applied. The model pointed out that the area under sunflower have opposite relation with the seed cost, land rent, area under tobacco, area under sugarcane and price of sunflower seed, while positively related to the area under sunflower with the variables such as total operational holding, sunflower yield and sale price of sunflower. In case of determining yield of sunflower use of DAP and organic manure were s...

Muhammad Javed Iqbal and Muhammad Naeem* 

...or (K). “b” (regression coefficient) value for LWRs of Labeo rohita in various groups was calculated as 3.37, 3.11, 3.20 in T1, T2 and T3 respectively and showed positive allometric growth pattern while negative allometric pattern was observed in T4 and T0. The coefficient of determination (r2) was ranged from 0.888 to 0.989 in LWRs, expressing highly significant correlation (p<0.01). The variance inflation factor (VIF) was observed as: 17.86 (T...

Qaisar Mehmood1*, Muhammad Riaz2, Maqbol Hussain Sail1 and Muhammad Moeen1 

...tistics, multiple linear regression model and analysis of variance techniques are used which show that variety, sowing mode, nitrogen fertilizer and phosphorous fertilizer have significant effect on the wheat yield. Irrigation mode and weedisides spray also has much impact on the wheat yield. 

...

Ejaz Ashraf1*, Bushra Hassan2, Nadeem Anwar2, Hafiz Khurram Shurjeel3 and Shafique-ur-Rehman

... were assessed. Complete regression model was applied with independent factors of educational opportunities, agri-business opportunities and training opportunities. The results were significant at 5% level of significance as F (3, 119) = 140.74; p< 0.05 and explained 78.4% of the variation in dependent factor of job opportunities for the respondents which is responsible for economic prosperity of rural communities. The results from second, third, fourth and...
Şehriban Çek Yalnız 1,* and Erdal Yilmaz2
...tresia and postovulatory regression in mammals is mediated by apoptosis, which is a natural occurring cause of cellular death. However, its function in fish is largely unknown. In order to discuss the possible role of apoptosis in fish ovarian follicular atresia and postovulatory regression, the pre and postovulatory follicles (POF) of the freshwater teleost, Clarias gariepinus were observed by light microscopy. The g...
Adem Aksoy1, Yakup Erdal Ertürk2, Ecevit Eyduran3 and Mohammad Masood Tariq4,*
...d. Multivariate adaptive regression splines (MARS) data mining algorithms in addition to least squares method were scrutinized comparatively in the prediction of weight at the end of grazing period. The best statistical approach was selected based on goodness of fit criteria viz. determination coefficient (R2), adjusted coefficient of determination (R2ADJ), and Pearson correlation coefficient between the actual and the p...

 Abir Ishtiaq, Muhammad Naeem*

Length-weight relationships and condition factor for farmed Catla catla (Hamilton, 1822) from southern Punjab, Pakistan
... crude protein (CP). The regression
estimates for LWRs were highly significant (P <0.001) with coefficient of determination, r2-values being >0.930 in the
three studied groups and for overall data. The value of the regression coefficient (b) indicated negative allometric
growth (b= 2.87), isometric growth (b= 2.95) and positive allometric growth (b= 3.22) for fish fed 15 %, 20 % and 25
% cru...

 Jhan Zeb, Muhammad Javed

Forecasting percentage contribution of plankton biomass towards increase in fish yield under composite culture conditions
...y basis and subjected to regression analysis in order to estimate the percentage contribution of
plankton biomass towards increase in fish yield. The correlation for plankton productivity v/s increase in fish yield was
positively significant (p<0.01) under all the treatments, showing the direct dependence of fish yield on plankton
productivity. The order of percentage contribution of plankton productivity towards increase in fish yield ...
Daniel Zaborski,1,* Muhammad Ali,2 Ecevit Eyduran,3 Wilhelm Grzesiak,1 Mohammad Masood Tariq,2 Ferhat Abbas,2 Abdul Waheed4 and Cem Tirink5
... ANN, classification and regression trees - CART, chi-square automatic interaction detector - CHAID and multivariate adaptive regression splines - MARS) and indicating the most influential predictors of these traits. A total of 382 reproduction records including three predictors (month of lambing - MOL, age at first lambing - AFL and lambing weight - LW) and seven dependent (output) variables (services per conception - SPC, ...

Shumaila Nazeer1, Iqbal Javed1*, Allah Bakhsh2, Mudassar Yasin2, Haroon Javaid3 and Kaniz Fatima1 

...nd suitability, multiple regression analysis technique is used for UAE and binary logistic regression technique was used for USA market. According to the finding, gross export margin for USA market is Rs. 30644 per ton and percent export margin is 70 percent while Net export margin is found as Rs. 14076.074 per ton. While in case of UAE market, Gross export margin is estimated as Rs.21601.2 per ton. For the Market of UAE, pe...

Aisha Siddiqua1*, Munir Ahmad1 and Nusrat Habib2 

...dogenous Switching (MES) regression model to analyze and compare the impact of different adaptation strategies in isolation or in combination on yield. The primary data of ‘Climate Change Impact Survey 2012-13’ used for this purpose. Crop-specific strategies of change in the time of sowing, use of inorganic fertilizer, change in irrigation, and varietal change. Change in irrigation practice gave rise to the highest yield suggesting that this might ...

Ali Awais, Charassri Nualsri and Watcharin Soonsuwon* 

...a have been subjected to regression analysis and effective doses of EMS were recorded for both genotypes. The effective value calculated for shoot and root length in Dawk Pa-yawm was 1.34% and 1.33% and in Dawk Kha 50, 1.23% and 1.86% respectively based on the reduction of the above mentioned parameters after the EMS treatment. Furthermore, the EMS response in M1 generation was also observed in the field condition by various quantitative measurements. The trai...

Rehmat Ullah* and Khalid Nawab 

... whereas binary logistic regression model was utilized (binary responses (1 if exists 0 otherwise) both of dependent and independent variables) to find out the effect of precautionary measures and Personal Protection Equipment on self-reported acute poising cases. Binary logistic regression analysis depicted highly significant negative association between adverse effects of pesticides like headache, dizziness, feeling weak, ...

Tanweer Ahmed*, Kashif Saeed Khan and Mohammad Naeem 

...n case of any shock. The regression results reveal that public spending on education, health and road length has a positive influence on agriculture value addition in Pakistan. The study recommends the allocation of greater resources to education, health and transport and communication sectors for agricultural growth 

...
Naveed Ahmad1,*, P.J.A. Siddiqui1, Amjad Ali1, Khan Mir Khan2, Rafaqat Masroor3, Noor ul Akbar4, Muhammad Amin5 and Mohammad Attaullah6
...second degree polynomial regression estimates that A. arabicus grows best when fed on a diet containing up to 42% protein in floating net cages. 
...

 Adile Tatliyer1,*, Sinan Bas1 and Serdar Yagci2

 

...cores in multiple linear regressions to remove multicollinearity problem. Morphological data obtained from 159 lambs were subjected to Kaiser-Meyer-Olkin (KMO) and Bartlett’s Sphericity tests to ascertain the suitability of factor score analysis. A result showed that implementation of factor analysis was appropriate for the studied data set at each period. At each period, factors whose eigenvalues which is the characteristic roots of a square matr...

Tariq Shah1*, Umar Hayat1, Muhammad Suleman Bacha2 and Muhammad3 

...-test and dummy variable regression were used for analysis. It is observed during the study that livestock extension department and private livestock doctors are the key sources where farmers get advice regarding livestock production. Majority of the respondents are quite satisfied regarding the effectiveness of these advices. Results further indicate that farmers visit or contact livestock expert mainly for livestock diseases and artificial insemination. Howe...

Muhammad Nasrullah1*, Liu Chang1, Khurram Nawaz Saddozai2, Asaad Osman Khalid1, Rachel Bayisenge1 and Gulnaz Hameed3 

...t overall results of the regression are statistically significant except farm size and fertilizers used during production. The coefficients of seed are the highest among all variables which can highly affect the productivity of the growers. 

...
Senol Celik
...of multivariate adaptive regression splines (MARS), chi-squared automatic interaction detector (CHAID), exhaustive CHAID and classification and regression trees (CART) data mining algorithms in predicting live body weight as a continuous response variable by means of morphological measurements i.e. live body weight (LBW), body length (BL), withers height (WH), rump height (RH), belly girth (BG) and chest girth (CG) as...

Iftikhar Ud Din* and Qamruz Zaman 

...ch from classical linear regression (CLRM) to multilevel modeling. The study also discussed an important problem in Multilevel Modeling (MLM) i.e. to find sufficient sample size for accurate estimation purposes. In MLM, apart from the general factors of sample size estimation, the test size, the effect size, SE (standard error) of the effect size and power of the test, additional factors like, magnitude of the ICC (Intra Class Correlation), total number of clu...
Asghar Khan1,*, Aneela Zameer Durrani1, Arfan Yousaf2, Jawaria Ali Khan1, Mamoona Chaudhry1, Mumtaz Ali Khan3, Habibunnabi4 and Amjad Khan5
...ugh SPSS. Chi-square and regression analysis were conducted. An overall prevalence of 67.3% was found. On multivariable logistic regression several health (lactation stage, number of lactations, body mass index, udder shape and milk yield), management (udder preparation and teat dipping) and bio-security (source of animal, feed sharing, manure removal and de-worming) factors were identified as potential risk factors (OR>1...

Essossinam Ali* 

...n Togo. Tobit and linear regression models were used to analyze the effect of farmers’ risk aversion on fertilizer and DTS uses, and labour allocation, respectively. The results indicate that on average 86.22% of farmers have risk aversion behaviors. Widening the land devoted to maize cultivation would increase farmers’ risk aversion while increasing the land devoted to sorghum, tuber and cotton crops would reduce it. Being risk averse leads farmer...
Nazia Qamar* and Sher Khan Panhwar
... length and weights. The regression models estimate for otolith dimensions and fish body parameters estimates can be useful for studies on population structure of five important carangids species.
...
Arif Jan*, Abdul Rab, Haroon, Rooh Ullah, Tauheed Ullah and Ikram Ullah
Khalid P. Loneand Irfana Liaqat*
...luence on completion and regression of the spermatogenesis. This detailed study is the first from the Northern latitudes of the Indo-Pak subcontinent on the fish kept in commercial ponds.
...
Mujahid Niaz Akhtar* and Amjad Farooq
...imum temperature. Linear regression equation is used to predict bollworm population to minimize economic losses. 
...
Muhammad Tariq Adnan Khan*, Tariq Mukhtar and Muhammad Saeed
Muhammad Saeed1,2,*, Tariq Mukhtar1 and Malik Abdul Rehman3
...throughout the year. The regression analysis between temperature and number of nematodes in the soil and females in the roots showed highly significant results at both the orchards. A direct relationship was observed between nematode population and temperature. Maximum nematode and female populations were observed at a temperature ranging between 26°C to 29°C at a soil depth of 30 cm. On the other hand, minimum populations were recorded at a temperatur...

Naveed Afsar* and Muhammad Idrees 

...ic media and the overall regression analysis of the climate change perceptions reveal that climate change is happening and long-term mean temperatures have been increased with a significant decrease in the long-term mean rainfall over the past decades. The study recommends that farmers should be trained well to more appropriately tackle the menace of climate change, extension workers should be made sure to visit the farmers in their fields on regular basis, an...

Syed Muhammad Hassan Raza1*, Syed Amer Mahmood1, Syeeda Areeba Gillani1, Syed Shehzad Hassan1, Muneeb Aamir1, Muhammad Saifullah1, Mubashar Basheer1, Atif Ahmad1, Saif-ul-Rehman2 and Tariq Ali1 

...cords by applying linear regression and generated yield equations. Rice area was estimated using satellite datasets of 11-years by applying supervised classification to 15 bands composite. The satellite extracted areas under rice cultivation, were compared with CRS reported areas by applying linear regression and generated the regression equation. The NDVI of rice crop in 2018 was 0.72 and...
Min Li1,2, Jingjing Wang3, Suxian Hu3, Philip Stott4, Baoqing Lin5, Lianshan Li5, Hui Liu1, Heng Bao1, Duoying Cui6 and Guangshun Jiang1,* 
... using a stepwise linear regression model and regressions of proportions of cover types at different spatial scales. We recorded 109,026 sightings comprising 94 species, and found that avian diversity indices were positively influenced by the presence of open water, farmland, and alkaline marsh, and negatively by human settlement; and in addition, these relationships were only apparent when scale was considered. We detected ...
Hande Kucukonder1, Pinar Celebi Demirarslan1*, Sezai Alkan2 and Özgür Baris Bırgul3
... chickens with nonlinear regression analysis and grey prediction model. For this, the growth of 118 broilers was analyzed by using their weekly individual live weights from hatch to 49 day-old. In the analysis, nonlinear functions and Rolling-Grey Model (1,1) prediction method were used. The time-dependent growths of mixed sexes broilers were analyzed in the aspects of testing the parallelism of female and male growth samples, determining the best fitted growt...

Wajid Shah Yousafzai1, Irfan Ullah1*, Amjad Ali1, Mahmood Iqbal2 and Salman Khan1 

Jahangir Khan1*, Abbasullah Jan1, Kar Ho Lim2, Syed Attaullah Shah1*, Aditya R Khanal2 and Ghaffar Ali1 

...ree fruits. Results from regression analysis showed that age of the household head and his awareness of pesticides use over fruits, household size and their total monthly income were significant determinants of their WTP. In addition, health concern and environment concern of pesticides use also influence the WTP. Findings from this study help in assessing the market potential for pesticides-free fruits in Pakistan 

...

Raheel Saqib1*, Muhammad Luqman2, Iqbal Javed3, Abdur Rehman4, Muhammad Yaseen2, Saleem Ashraf5 and Muhammad Zeeshan Majeed2 

... The results of multiple regression analysis showed that problem of poverty and hunger (PPH) can easily be estimated from different livelihood assets like education, ability to produce enough food, access to rural advisory (extension) services, access to financial support structures (in the form of social safety nets) and crop diversification strategies. 

...

Muhammad Israr* and Noor Khan 

...lection. Binary Logistic regression analysis was conducted over the collected data-set to estimate a grower’s probability of adopting improved seed technology and quantify the role of FSC in adoption. Result confirms that membership in FSC was the most important determinant of improved wheat seed technology adoption. Head’s education level was the other important determinant with a positive significant effect on adoption of improved seed technology...

Sanaullah1, Fazli Rabbi2*, Shahid Ali2, Zeeshan Khan3 and Muhammad Zamin4 

...Method (TCM) and poisson regression techniques were used for data analysis. The results reveal that 98 percent of the sampled tourists were willing to pay for the development and conservation in the area. Moreover, 37 percent of the sampled tourists were willing to pay Rs.100 (0.94 US$) per visit as an entry fee. The analysis further showed that an estimated amount of 421 million Rupees (3.97 million US$) could be generated as consumer surplus. The poisson

Muhammad Akbar Ali Shah1, Gamze Özel2, Christophe Chesneau3, Muhammad Mohsin4, Farrukh Jamal5* and Muhammad Faheem Bhatti6 

...ifferent multiple linear regression (MLR) models are applied to study the relationship between the yield of rice (dependent variable) and the various factors (independent variables) which are affecting the rice crop production. The Model I is based on monthly average temperature and humidity during crop period and Model II is based on average temperature and humidity during crop period. The factors affecting rice crop production are also tested. Durbin-Watson ...
Bhandari Jyoti1,2, Yasen Shali3, Zhang Zehua4, Yao Xiaoho5, Deng Jiang3, Zhang Yaling5, Wang Cuiling5, Li Yang5, Lei Xueping5, Wang Wenfeng5, Mohammad Farooque Hassan6 and Li Can1,*
...d. The Iwao’s M*-m regression analysis, Taylor’s power law and aggregation cause analysis showed an aggregated distribution pattern for L. m. tibetensis Chen. It is concluded that insect behavior and environmental conditions co-influence the population density and spatial distribution pattern of this pest.
...

Saba1, Shahnaz Akhtar1, Waqar Khalid2* and Saifullah Khan

...t, and a multiple linear regression model was proposed to measure factors influencing women’s participation in livestock management practices. The computed value of the mean composite index was 4.81 which showed that women farmers on average engaged for 4.81 hours per day in the livestock management practices. The multiple regression results illustrated that women’s education, family size, and livestock income si...

Sanaullah1*, Urooba Pervaiz1, Shahid Ali2, Mohammad Fayaz2 and Aftab Khan

...carried through multiple regression and independent sample t-test. Results indicated that extension visits, involvement in agriculture, adoption of recommended farming practices, irrigation and HYVs had significant effect, while disease, fertilizer and pesticide had non-significant effect on maize yield. Nevertheless, adoption of recommended technologies were low due to some constraints in the study area out of which low income of the families and lack of requ...

Mahfooz Khan* and Himayatullah Khan 

.... A multinomial logistic regression model was used for choice of alternative energy sources for cooking purpose. Results of the study showed that income of farm households, education level of household head and cooking cost had significant effect on the use of electricity, firewood and natural gas as against animal dung cakes for cooking purpose which was the base category. The study concluded that the use natural gas for cooking was less expensive as compared...
Jun Yan Bai*, Xiao Hong Wu, Shuai Yang, You Zhi Pang, Heng Cao, Hong Deng Fan, Xue Yan Fu, Kun Peng Shi and Xiao Ning Lu
...le quail (P<0.05).The regression equation of body weight to body size of Savimai quail was Y=-64.849+16.153X1+27.5X2+11.6 X3, with a fitting degree of 0.865. The regression equation of body weight to body size of French giant quail was Y= -148.103+11.851X1+20.927X2+59.278X4, with a fitting degree of 0.883. X1, X2, X3 and X
Ahsan Numan1,4, Khadija Irfan Khawaja2, Abdul Basit Qureshi3Muhammad Shahbaz Yousaf4, Imtiaz Rabbani4, Hafsa Zaneb5 and Habib Rehman4*
....17%). Multiple logistic regression analysis showed that the DSP was significantly associated with age of the patients (OR:1.40, CI:1.24-1.67), duration of DMT2 (OR:1.24, CI: 1.01-1.35), HbA1c (OR:1.86, CI:1.61-2.05), blood fastening sugar level (OR:1.37, CI: 1.18-1.51) and triglyceride concentrations (OR:1.13, CI: 1.02-1.33). In conclusion, the DSP was considerably higher in DMT2 patients and was significantly associated with age of patients, durat...
Bo Gao1,2, Fengmei Yang3, Wei Chen2, Xiaojia Song4, Xiaobo Liu5 and Dongmin Li1*
...variate survival and Cox regression model analyses, and survival times were compared using the log-rank test. At the same time, through receiver operating characteristic (ROC) curve analysis, their diagnostic threshold values were calculated. MDR1 expression levels were the highest in malignant tumor tissues, followed by adjacent tissues, and the lowest in non-cancerous tissues. Differences in expression level between varying degrees of differentiation and/or ...

Saira Bano, Muhammad Naeem* and Samrah Masud 

...or statistical analysis, regression was applied to the data. Fish fed with 25% dietary protein level under T3 showed good health status as compared to T1 and T2 with 15% and 20% dietary protein levels. Results of the research work indicated that L. calbasu reared by feeding 25%CP showed better health status.  

...

Mubashir Mehdi1*, Muhammad Bilal Ahsan1, Burhan Ahmad1, Khuram Nawaz Sadozai2, Gulnaaz Hameed3 and Muhammad Asif4 

... work agenda. Double-log regression model is used to assess the effects of decent work agenda and its effect on social upgrading of workers both at Global GAP certified and traditional non certified orchards in Southern Punjab and Sindh. Since the certified orchards are driven by the global value chain system under the food safety and quality standards, they have more potential and prospective to improve the livelihood of the on-farm workers. Education include...

Bala Gambo Jahun1,2*, Muhammad Yamin2,3, Desa Bin Ahmad2, Muhammad Razif Mahdi2, Shamsuddin Suleiman4 and Salihu Ahmad Abdulkadir5 

...eveloped multiple linear regression model can further be used for the adjustment of blade lift angles and tractor’s speed to achieve the required mulching depth during the field maintenance, replanting and access operation. 

...

Muhammad Ali1*, Norsida Man2, Farrah Melissa Muharam2 and Siti Zobidah Omar

...chnique. Multiple linear regression through SPSS was administered for statistical procedure. The findings confirmed that the theory (TPB) was statistically feasible to predict behavioral intention of farmers to use ICTs for agricultural risk management. The results further reveal that attitude was one of the most influenced of intention, which was followed by perceived behavioral control and lastly the subjective norms. Thus, using TPB in this context would be...
Kemi F. Omotesho*, Adedamola V. Adetayo, Adeniyi F. Akinrinde and Deborah A. Olabode
 
Challenges to the Adoption of Agricultural Innovations: The Case of Yam Minisett Technology in Kwara State, Nigeria

Parsa Riaz and Muhammad Naeem*

Digestive Enzymes Activity with Gut Morphometric Parameter of Carnivorous Fish Wallago attu (Siluridae, Siluriformes)

Muhammad Naveed Anjum1, Abdur Rehman1*, Muhammad Niamatullah Khan1, Raheel Saqib2, Mohammad Fayaz3 and Iqbal Javed4

Impact of Microfinance on Socioeconomic Status of Farmers in District Dera Ismail Khan
...istics and simple linear regression models were used. The results of the study highlighted that 72.2% of the farmer’s incomes increases due to microcredit’s facility and due to increase in income, the farmers are able to get more access to the health facilities than before. 82.2% farmer’s response indicated that the microfinance have a positive and significant impact on the children’s educational status and due to microfinance their chi...

Hazrat Hussain*, Muhammad Ibrahim**, Navid Ahmed***, Zia ul Haq**, Bashir Alam***

ASSESSMENT OF SEDIMENT TRANSPORT LOAD FROM GOAML RIVER AND ITS IMPACT ON THE GOMAL ZAM DAM LIFESPAN
...available data and using regression analysis a model is developed to establish a correlation between water discharge and sediment load. The model is an attempt to ascertain the rate of erosion in the catchment of the Gomal River since no generalized model has so far been developed to explain the nature of such weathering activities and all such works are situation specific. Relation between the water discharges to sediment load that it carr...

Asif Nawaz*, Muhammad Zafarullah Khan, Rehmat Ullah, Khalid Nawab and Urooba Pervaiz

Investigation of Professional Competency Level and Training Needs of Field Assistants in Khyber Pakhtunkhwa
...-test and dummy variable regression model were used to achieve study objectives. It was found that Field Assistants were highly competent in conducting farm/home visits followed by conducting meetings and organizing extension campaigns. Highest training needs in professional competency were reported in use of Information and Communication Technologies, use of audio-visual aids and ability of motivating farmers. Regression an...
Muhammad Khalid1,2, Samrah Masud2, Zara Naeem2, Muhammad Munir Shahid3, Ammar Danyal Naeem2, Abir Ishtiaq2 and Muhammad Naeem2*
 
Length-weight and Length-length Relationships of Farmed Catla catla during Winter Season from Muzaffargarh, Pakistan
...respectively. Results of regression analyses revealed highly significant (P < 0.001) correlation for LWR and LLRs in farmed C. catla. Value of exponent b was found 3.23 in LWR of farmed C. catla indicating positive allometric pattern of growth in C. catla. While, in LLRs, b-value was observed 1.00 or close to 1.00, indicating isometric pattern of growth in SL and FL with an increase in TL for the studied fish species. Mean condition factor value was found 1...

 Muhammad Shaheen*, Muhammad Shahbaz*, Zahoor ur Rehman* and Sajid Mehmood*

A METHOD OF DATA MINING FOR SUSTAINABLE HYDROCARBON EXPLORATION
...ration SI, multiple regression is used to predict optimal hydrocarbon exploration rate which will ensure sustainable energy development within the country.
...

Rafi Javed Qureshi* and Iftikhar Hussain**

INTERNATIONALIZING MANUFACTURING SMEs IN A DEVELOPING REGION: AN EXHAUSTIVE CDA-BASED EXPLORATORY APPROACH
...orting. Categorical regression overcomes the limitations of both contingency table method and binary logistic regression in exploring this relationship, and provides substantive space to experiment and investigate the contributory role of export-enabling factors when data size is small.
...
Samet Hasan Abaci1,*, Hasan Onder1, Mustafa Sahin2 and Esra Yavuz3
...of knots in cubic spline regression used for modeling lactation curves. Knots were taken as 60, 90, 120 and 150 days and combinations of them for every breed. To compare the Mean Square Errors (MSE) of the models, the autocorrelation values of Durbin Watson (DW), the information criteria of Akaike (AIC) and the coefficient of determination (R2) were used as comparison criteria. Kruskal Wallis H test was used to compare comparison criteria in differe...
Kadir Karakuş1, Turgut Aygün2, Şenol Çelik3, Mohammad Masood Tariq4*, Muhammad Ali4, Majed Rafeeq4 and Farhat Abbas Bukhari4
...nd multivariate adaptive regression splines (MARS). Effects of genotype and some environment factors such as birth type, dam age, lamb’ age in control and live weight on testis characteristics were also researched. The furthest importance sequence was obtained for testis length (TESLENG) (100%), followed by age, testis diameter (TDIA), age in control (DAGE), birth weight (BW), around scrotum (SCC), scrotum length (SCL) and birth type (BT). TDIA > 8.5 ...

Javed Iqbal1, Ali Zohaib1*, Muzzammil Hussain1, Iftikhar Ahmad1, Adnan Bashir1, Wardah Muzaffer2, Naeem Faisal1, Muhammad Tahir Latif1 and Sami Ullah1

...d by sowing time. Linear regression revealed that sowing time manifested negative relations with emergence and grain weight of wheat varieties indicating them the most affected traits in response to temporal variation in sowing. Sowing time had negative relation with number of tillers for only Lasani-08 and Punjab-11, while non-significant relation with grains per spike. Nonetheless, tillers m-2 and grains per spike were correlated positively with wheat yield ...

Inam Ullah1, Mahfooz Khan2*, Munir Khan2, Himayatullah Khan2 and Azra3

Factors Affecting Different Wheat Varieties Yield in District Peshawar, Khyber Pakhtunkhwa, Pakistan: A Comparative Analysis
... analyzed using multiple regression model. The empirical results show that for Pirsabaaq-5 wheat variety, the effect of (weedicides) was insignificant. While for Pirsabaaq-8 wheat variety irrigation was found insignificant and for Pirsabaaq-13, wheat variety the effect of seed was insignificant. It was observed that majority of the farmers were illiterate and do not apply the recommended amount of inputs due to its high prices/lack of availability of irrigatio...

Shahzad Khan*, Munir Khan, Inayatullah Jan, Mahfooz Khan and Fida Muhammad Khan

Determinants of Sugarcane Yield in District Charsadda, Pakistan
...7%. Empirical results of regression model found seed, farm yard manure and fertilizer positive and significant determinants, with coefficients 0.5011, 0.2916 and 0.2796, respectively. While tractor and labour costs were noted insignificant. For the wider interest of sugarcane growers and for the growth of agriculture sector, the study recommends reduction in the prices of fertilizers and suggests the Government to develop high yielding Hybrid varieties and to ...
Muhammad Yaseen1*, Xu Shiwei2, Yu Wen2, Ejaz Ashraf1, Muhammad Luqman1, Muhammad Ameen3 and Sadia Hassan4
Farmers Behavior to Participate in Public Sector Agricultural Extension Services: Comparative Analysis of Pakistan and China
... and China. The logistic regression model was used to study the influence of age, education, labor, farm area and villages on the household head’s participation in agricultural extension services/ activities organized by public sector department. For this purpose, a random sample of 160 households from four districts of Punjab province of Pakistan was selected, and another random sample of 122 households selected from the six villages of Huailai County o...

Asif Ali Abro1* and Iqbal Ahmed Panhwar2

Impact of Various Factors on Crop Diversification Towards High Value Crops in Pakistan: An Empirical Analysis by using THI
...itability of minor crops regression coefficients showed positive and significant impact on crop diversification. The technology was determined using fertilizers, the number of tubewells, Net Area Sown (NAS) and the production of tractors in quantity. The regression coefficients of fertilizers, number of tubewells and production of tractors showed positive and significant impact on crop diversification except Net Area Sown wh...

Imran Ahmad Rana*, Muhammad Ali Yab and Ch. Abdul Rehman

Quality Engineering Tools Implementation a Comparison of Indian and Pakistani Business Organizations
...r, results obtained from regression analysis display that there are also differences between the critical success factors (CSFs) of six sigma implementation in Indian and Pakistani organizations. Elements like management commitment and six sigma deployment strategies were found significant in explaining variability of six sigma results in the region. Results show that the countries were found similar on effect of six sigma practices on customer satisfaction, w...

Muhammad Kashif Khan1*, Muhammad Wasim Jan Khan2, Kaleem Ullah Jan Khan3, Muhammad Ishaq Khan4, Muhammad Faheem Jan Khan5 and Abdul Salam Lodhi6

 

Impacts of Construction Risk Attributes on Organizational Performance of Registered Construction Companies in Khyber Pakhtunkhwa, Pakistan
...ct are developed through regression analysis using SPSS software. It is hoped that this research work will inform all concerned about risk management practices, possible risk factors, and their consequences upon organizational performances.

...

Sanaullah1*, Abdul Basit2 and Inayat Ullah3

Challenges and Prospects of Farm Mechanization in Pakistan: A Case Study of Rural Farmers in District Peshawar Khyber Pakhtunkhwa

Zaheer Ahmed Deho*, Saifullah Abro and Muhammad Rizwan

Assessment of Stability for Seed Cotton Yield of Cotton Genotypes Across Different Environmental Conditions of Sindh Province
...a-1) respectively having regression coefficient (bi) value 1.68,1.29, and 1.218 which indicated that these genotypes were specifically adapted to favorable environments. While, check variety Sadori with bi (0.98) showed wide adaptation to all environments. CRIS-134 showed regression coefficient (bi 0.714) somewhat close to unity 1.0 can be considered wide adaptable to some extent.

...
Yasin Altay1, Saim Boztepe2, Ecevit Eyduran3, İsmail Keskin2Mohammad Masood Tariq4*, Farhat Abbas Bukhari4 and Irshad Ali4
...plemented to construct a regression tree diagram was specified based on Bonferroni adjustment within the scope of the prediction of wool fineness as a response variable. Also, Multivariate Adaptive Regression Splines (MARS) was implemented for the WF prediction. In the prediction of wool fineness (WF), sex, dam age (DA), birth weight (BW), birth type (BT), live body weight (LBW), greasy fleece weight (GFW), staple length (SL...
Luka Anthony*, Olugbenga Omotayo Alabi, Elizabeth Samuel Ebukiba and Vandi Gamba
...of the Multinomial Logit regression model show that among the significant factors that influence the choice of rice market outlets were: sex of the household head (P<0.10), educational level (P<0.10), access to credit facilities (P<0.05), extension services (P<0.01), price information (P<0.05), market information (P<0.01) and, marketing experience ((P<0.05). The value of Gini- Coefficient calculated was 0.91429. The observed inequality in ...
Grace Okongor, Chukwudi Njoku*, Pauline Essoka and Joel Efiong
...sing the multiple linear regression analysis. The result revealed that only sunshine intensity was a significant predictor of yam yield (p =0.011), whereas rain days (p = 0.332
Muhammad Tariq Chaudhary1, Saleem Ashraf 2, Muhammad Yaseen3 and Muhammad Luqman3
 
 

Dilara Devranoglu, Ilksen Tavaci, Gonul Filoglu and Ozlem Bulbul*

...The multinomial logistic regression model statistics is applied for eye color prediction. We observed allele and locus drop-outs on both bloodstains stored for five years and UVC exposed samples. The brown and blue eye colors were correctly predicted for reference and degraded samples. The intermediate eye colors were predicted to be brown or inconclusive. The degradation by aging bloodstains or UVC exposure, is differently affected the prediction accuracy dep...

Muhammad Yaseen1, Xu Shiwei2, Yu Wen2, Muhammad Luqman1*, Raheel Saqib3, Muhammad Ameen4, Sadia Hassan5 and Tahir Munir Butt6

...e program and a logistic regression model was applied using the computer-based statistical program “STATA”. The findings indicate that media (electronic media and print media) was the key information source for the farmers and 40.16% of farmers accessed media particularly for agricultural information whereas 34.43% used agricultural extension field staff (government) to acquire agricultural information. The government of China should start some edu...
Ahmad Abrar Khan* and Muhammad Idrees
... percentage and multiple regression with a dummy variable model. The majority (46.2%) apricot growers cultivated apricot on 01 kanal of land and major group (31.8%) were getting 51-70 Kg yields per tree. Moreover, 68.9% of apricot growers used chemical fertilizers, and Farm Yard Manure (FYM) application was also in practice by 62.9%. Apricot growers in major cases (59.1%) irrigated their crops in drought periods.In the majority of cases through wells/tube well...
A.E.S. Patrick1,*, S. Kuganathan2 and U. Edirisinghe3
...ont-size: small;">Linear regression analysis of length-weight relationships (LWRs) were studied to reveal the growth patterns of 380 specimens belonging to 10 species, 9 genera and 5 families of local fish in Vavuniya reservoir, Sri Lanka during January, 2013 to August, 2014. The regression coefficient value ‘b’ from LWR and statistical comparison from the ideal value (b=3) were used to find the gro...
Suwati Suwati1, ErniRomansyah1,*, Syarifudin Syarifudin1, Yahya Jani2, Agus Heri Purnomo3
Damat Damat4 and Erkata Yandri5,6
...yzed using simple linear regression to formulate a trend of reduction in the weight of seaweed while drying. The results showed that the weight reduction in seaweed by the natural method can be illustrated by the simple regression linear equation Y = -2.385 3x + 943.65 with R² = 0.985 9, which means a reduction in weight of seaweed i.e. 2.385 3 g min–1 during 340 min. While cabinet dryer method c...
Jun Yan Bai*, Zhi Hao Dong, Yu Chen, Jing Yun Li, Ying Lei, You Bing Yang, Kun Peng Shi and Xue Yan Fu
...>th week. The best regression equation for the number of eggs of Beijing white quail, Korean quail and Chinese yellow quail to week-age were: Y=-12.153+1.850X-0.003X3 (R2=0.991), Y=-14.367+3.110X-0.121X2 (R2=0.881) and Y=-12.096+2.954X-0.116X2 (R2=0.833), respectively. The best regression equations of the total egg weight of Beijing white quail, Korean q...
Saima Siddiqui1, Ghulam Hussain Abro1, Tajwar Sultana Syed 1Abdul Sattar Buriro2, Sohail Ahmad3, Muhammad Zeeshan Majeed4 and Muhammad Asam Riaz4*

 

...fly population. Stepwise regression analysis revealed that TDM, TDL and GGL (Gossypol gland on lamina) contributed 27.5%, 33.9% and 36.6% in population variation of jassid, whitefly and thrips, respectively. High TDM and TDV was considered morphological marker for jassid while low TDL, TDM and TDV was thought of as morphological marker for whitefly. The cotton variety 3-508 OP having relatively less dense but long TLL (Trichome length on lamina), TLM (Trichome...

Naveed Wahid Awan1, Asif Ali Abro2* and Ahmed Raza ul Mustafa3

...esented through rank and regression analysis. The rank analysis was done based on crop production, the area cultivated, yield, use of fertilizer, number of tube-wells and their respective prices. It was observed that Punjab province holds tops position with respect to the factors analyzed in the study. In regression analysis, the climatic index was found negative and significant, whereas agricultural accessories are positive...
Junyan Bai1,2, Ren Tao Di Wu2, Le Ma Dao2, Di Bao2, Qiang Zhang2 and Xing Hua Tian3

 

...ncrease of age. The best regression equation of male camel’s wool fineness to age is quadratic regression equation: Y=15.971+0.409X-0.008X2, the fitting degree is 0.983, the fitting effect is very good. The best regression equation of female camel’s wool fineness to age is also a quadratic regression equation: Y=15.597+0.564X-0.030...
Suman Bhattarai1*, Subodh Raj Pandey2, Jaya Prakash Dutta3, Meghnath Timalsena4 and Rajendra Bam5
...ction function, multiple regression, and paired t-test were used for the analysis of collected data. Multiple regression model revealed that family labor (p=0.68), age(p=0.007), family size (p=0.001), experience (p=0.007), harvesting (p=0.000) and maintenance of flowering plants (p=0.057) have significant effect on honeybee productivity. Labour cost and migration cost had positive coefficient and significant relation at 1% l...

Chala Hailu Hussen and Fikiru Temesgen Geleta

... statistics and a probit regression model was employed for analysis. The descriptive statistics revealed that 127 sampled farmers participated in cluster crop production, while the remaining 33 were not. On the other hand, the result of probit model regression had shown that household-related factors such as being a male, economic dependency ratio, farmer experience, marketable surplus supply, and seed multiplication objecti...

Muhammad Qaddafi Khan Wali, Arif Alam* and Ikram Shah

...ld level. We used binary regression analysis to identify factors affecting food security in the target area. This investigation discloses that 90 % of the sampled households are suffering from food insecurity. From the exponential values of coefficient binary logistic regression, it is concluded that Gender, Occupation, Landholding, Income, Low income, High population, remoteness, Low landholding, and firing online of contro...

Ayaz Ahmed* and Muhammad Zulfiqar

...by using binary logistic regression. Odds ratio analysis of the social and natural assets data showed that the Joint Forest Management approach had significantly increased the social and natural assets of the participants. In terms of financial asset, odds ratio in favor of ‘NTFPs income’ and ‘employment opportunities’ for JFM sample households were 2.289, 2.501 times respectively more than non-JFM sample households. Trainings imparted ...

Shahzad Khan1*, Munir Khan1, Arif Alam2, Ikram Shah2, Mahfooz Khan1 and Fida Muhammad Khan1

...Empirical results of the regression model found tractor, fertilizer, seed, and pest/weed inputs positive and significant, with coefficients 0.1693, 0.1646, 0.4894, 0.0285, respectively. In contrast, labour and animal costs were noted negatively. For the larger benefit of the farmers’ and the growth of the agriculture sector, the study recommends a reduction in the prices of fertilizers and suggested to the Government to develop high yielding certified se...
Ying Yang 1,2,3, Tietao Zhang 1,2,3, Min Rong 1,2,3, JiaPing Xu 1,2,3 and Xiumei Xing 1,2,3*
...nd voluntary feed intake regression coefficients for energy and the growth responses from weaning to the age of 26 weeks were studied in male and female mink receiving diets varying in energy level content. The apparent digestibility was digested better by male than by female. The energy levels affected the performances of female mink to a lesser degree than those of male mink. Diets containing energy at levels below 15.06KJ/kg and exceed 29.06 KJ/kg of dry ma...

Asfand Raheel1, Syed Zulfiqar Ali2, Muhammad Waris2, Muhammad Basharat2, Basheer Ahmed2, Muhammad Arshad Ullah3, Syed Ishtiaq Hyder4 and Taqi Raza4*

...vest decay by developing regression models. Additionally, new packaging materials have been introduced to avoid mechanical injuries and decline the chances of contamination, bruises and decays. Postharvest treatments includes biological agents, fungicides, herbal and natural products, edible coatings and heat treatments can be efficaciously applied in a vast and specific commodity range to prevent great losses.

...

Anila Kousar, Muhammad Naeem*, Samrah Masud, Abir Ishtiaq, Zara Naeem and Rabia Iqbal

... Cd. Linear and multiple regression was applied to check the significance of accumulated elements. The relationship among the element concentrations and weight and length of fishes was also examined. A positive association between the elements and weight and length of the sampled fish was noted except for Fe in T1 with body weight. A common trend of positive and negative allometry was observed for most of the elemental concentrations with wet body weight and t...

Muhammad Nasir1, Muhammad Usman Asif2*, Abdul Hayee Abid1, Qurat ul Ain Haneef1 and Muhammad Awais2

...LCuV incidence. Multiple regression analysis was used to estimate the combined as well as individual impact of maximum and minimum temperature and relative humidity on population fluctuation of insect pests. The R2 values indicated that maximum and minimum temperature were the most influential factors and played a significant role in the population fluctuation of the studied insect pests as well as CLCuV. The results of the study may be helpful to the pest man...
Jing Yu1*, Yao Lu1,2, Zhaojin Lin1, Pimao Chen1 and Yuting Feng1,3
...on the simple non-linear regression, using satellite remote sensing and investigation data during April to June in 2014 and 2015. Satellite data including Sea Surface Temperature (SST), Sea Surface Salinity (SSS) and water Depth from Digital Elevation Model (DEM) were used to build the Habitat Suitability Index (HSI) model, based on Maximum Model (MAXM), Minimum Model (MINM), Arithmetic Mean Model (AMM), and Geometric Mean Model (GMM). Results showed that the ...

Hafsa Naheed* and Hidayat-Ur-Rahman

...ernel weight had the bi (regression coefficient) values near to unity and had higher (coefficient of determination) Ri2. Based on the stability measure of Freeman and Perkin’s genotypes G.20, G.6 and G.29 for tillers m-2, G.11, G.10, G.34 for grains spike-1 and G.11, G.24, G.29, G.32 and G.21 for kernel weight, were having bi values almost equal to one while the Ri2 value were higher . Based on Finlay and Wilkinson’s model for tillers m-2 G.4, G.33...

Hidayatullah1*, Sammia Mahroof1, Saleem Abid2, Naveeda Anjum3, Noor Habib4, Akhter Saeed5 and Muhammad Arshad Farooq1

...s. The NARC Chilli-2 has regression slope equal to one with relatively low Wricke’s Ecovalence, low value of Shukla’s Stability Variance, relatively less value of deviation from regression and highest value of coefficient of determination. Results of stability analysis revealed that NARC Chilli-2 was the most stable line with reference to yield and this could be recomended for planting under different type of sit...
Muhammad Mansha1*, Sidra Yaqub1, Asma Abdul Latif2, Muhammad Wasim3 and Peter C. Thomson4
...sh;11). The regression coefficient for number of pregnancies is 0.220 ± 0.029= 1.25× i.e. a 25% increase for each additional pregnancy. There is a significant positive association between premature termination of pregnancies and number of children (P = 0.024): the regression coefficient is 0.108±0.048=1.11× i.e. 11% increase for each additiona...

Kemi Funmilayo Omotesho1*, Philip Akintunde Fatodu1 and Toyin Benedict Ajibade2

Theophilus Miebi Gbigbi* and Rodney Akpoviri Isiorhovoja

...ofitable. The double log regression model result shows that cost of day old chicks, feed, drugs and vaccines, labour, shelter and equipment significantly influenced exotic chicken production. The resource use efficiency result infers that DOCs and drugs and vaccine were under-utilized while feeds, labour and housing and equipment were over-utilized by the farmers. The elasticity of production was 1.08. This is increasing returns to scale. This paper concludes ...

Saadu Mustapha1,2, Norsida Man1*,  Jasmin Arif Shah1, Nitty Hirawaty Kamarulzaman1 and Ahmadu Abubakar Tafida3

...nsion work. The multiple regression results reveal that gender, age, level of education and working experience has no significant contribution to ICT adoption while marital status, awareness, accessibility and motivation are the most influential factors influencing the adoption of ICT’s in extension service delivery. The study recommends that government for support the extension organizations with the most commonly used ICT components, ensure adequate aw...
Farhat Iqbal1, Abdul Waheed2*, Zil-e-Huma3 and Asim Faraz2
... of small ruminants. The regression tree, random forests, support vector machine and gradient boosting machine methods have been used to predict the live body weight (target variable) of the animal. The predictors (independent variables) included in the current study were sex of the animal, neck length, diagonal body length, head girth above eyes,shank circumference, belly sprung, and rump height measurements of beetal goats (1 – 7 years in age) of Pakis...
Ishtiaq Ahmad1*, Abid Usman1, Khursheed Iqbal1 and Shams Ur Rehman2
...l for analysis. Multiple regression based methodology was developed to use fixed-effect model for both dependent variables Return on Assets and Tobin-Q variables to discover the association between Corporate Governance and Firm Performance. It is concluded that Board Size, Board Gender, Board Experience and firm size have significant the ROA and Chief Executive Duality, Board Size, Board Gender, Board Experience, and Firm size have significant with Tobin-Q.

Muhammad Usman Asif*, Raza Muhammad, Waseem Akbar, Mubasshir Sohail, Muhammad Awais and Javed Asgher Tariq

...elated in 2018. Multiple regression analysis was used to estimate the combined effect of all weather factors on population fluctuation of pink bollworm. The R2 values indicated that weather factors cumulatively explained 76.4, 91.4 and 69.4% of variability in the abundance of pink bollworm in 2016, 2017 and 2018, respectively. The results of the study allow pest managers to focus treatment during the time of year when moths are most abundant....

Dilshad Ahmad1*, Muhammad Afzal2 and Asif Ali Abro3

...old farmers and employed regression analysis model to estimate credit impact on household income and livestock production. An economic technique of log-linear regression model was applied to identify the factors influencing dairy production and estimate household income difference from dairy production due to formal credit from Zarai Taraqiati Bank Limited (ZTBL). Estimates of the study indicated that agricultural credit fac...
Muhammad Arsalan1, Muhammad Aman Ullah1 and Abdul Waheed2,*
...the relationship. Simple regression models were fitted to predict live body weight from 13 other morphological traits as independent variables. Descriptive statistics of body indices and morphological traits were also reported. The variation pattern was observed by coefficient of variation in both body indices and morphological traits. In body indices less variation was observed in BeronCrevit index, having a smallest coefficient variation of 8.50% and high va...
Teuku Fadlon Haser1*, Muh. Saleh Nurdin2, Eddy Supriyono3, Deni Radona4, Fauziah Azmi1 , Kukuh Nirmala3, Widanarni3, Tri Heru Prihadi4, Tatag Budiardi3 and Riris Yuli Valentine5

Arshad Farooq1, Abdul Hassan1, Muhammad Ishaq2, Asif Nawaz3*, Iltaf Ullah4 and Hidayatullah5

...ers (32.75%). Results of regression model showed that land holdings, formal education, agricultural extension department contact, and farm services centers membership had positive and substantial effect on knowledge level of farmers. Lack of improved knowledge, lack of financial power, irrigation problems and high cost of inputs were the most important problems faced by the farmers. Agricultural departments need to develop and disseminate climate smart recomme...

Masouras P.K.1, Nikolaou K.1,2, Laliotis G.P.1*, Koutsouli P.1, Bizelis I.1 

...nd marbling content. The regression analysis between IMF and marbling resulted in a moderate predicted ability (R2 = 0.64) of IMF based on the estimated marbling values. The findings provide novel information for meat quality of commercial cuts in Greece and offer a valuable and facile tool for predicting IMF content by marbling values, enforcing the implementation of such an approach in larger data sets.

Keywords | Marbling, Intramuscular fat, Meat qu...

Yongjie Xue1, Jinling Yan1, Huifeng Zhao1*, Haijing Zheng2 and Changhai Ma1

...del (ECM) and Vector Autoregression Model (VAR), we found that: (1) soybean and beef import is impacting the domestic beef price in both the long- and short-term, but the short-term effects can be corrected to coincide with the long-term effects. (2) there is a long-term equilibrium relationship between import price (soybean and beef) and domestic beef price. (3) The price fluctuations of imported soybean and beef will affect domestic beef price in different w...

Muhammad Tahir Jan1, Sarfraz Ali Shad2, Mushtaq Ahmad Saleem3 and Muhammad Binyameen2,*

...lor’s power law of regression showed an aggregate spatial pattern distribution of eggs for E. vittella in plants in both years. Variance-to-mean ratio, the chi-square test index, and Lloyd index of patchiness indicated uniform eggs distribution for both years. Within the plants, the most preferred oviposition sites were just below the terminal portion on such structures as the leaves, terminal buds and NE leaves. The current study regarding the site sele...

Fatma Desouki Mohammed Abdallah

...like principal component regression.
 
Keywords | Carcass traits, Eigen-values, Japanese quail, Principal component analysis, Scree plot
...

Huapu Chen1, Zhiyuan Li1, Yaorong Wang1, Wei Yang2,*, Hongjuan Shi1, Shuisheng Li1,3, Chunhua Zhu1 and Guangli Li1,*

...ver, two best-fit linear regression equations were constructed in females and males respectively. This knowledge will provide useful and valuable information in better understanding of the differences between both sexes, relationships between morphometric traits, and selective breeding of S.argus. These models might also provide theoretical support for the indirect selection of traits that are difficult to select directly.

...
Sajad Ali1*, Naeem Ur Rehman Khatak1, Shahab E. Saqib2 and Saleem ur Rehman1
...wheat growers, a log-log regression model and an independent unpaired sample t-test was used in conjunction with face-to-face interview schedule. In addition, a dummy variable was added to the production function to analyze the impact of tenancy status on wheat productivity. The results revealed that majority (57.1%) of the wheat growers in the study were rented land for their farming and livelihood. Land preparation, fertilizers, chemicals, and irrigation wer...

Ibrarul-Haq* and Malik Muhammad Shafi

...dy has employed multiple regression model to estimate the relationship amongst the variables. The empirical estimation indicates that all variables except household’s size and agriculture land holding have shown positive and significant influence on income from the NTFP’s. Household’s size and agricultural landholding were found negatively associated with household’s income from the NTFP’s. The study identified major problems duri...

Judith Kiptoo1*, Daniel Mutisya2, Paul Ndegwa1, Ruth Amata3, Lucy Irungu4 and Rotich Godfrey5

...T. semipenetrans. Factor regression analysis results showed that modest rainfall amounts favoured high density populations of PPNs on citrus roots where soil types of Rackers in Baringo and Luvisols, Ferralsols and Cambisols in Machakos County were dominant. Tylenchulus, Meloidogyne and Helicotylenchus species were most abundant in Kitale, Taita-Taveta, Kilifi and Kwale. The results presented here show how possible population density of PPNs in varied soil cla...

Momotaz Khanom*, Sheikh Mustafizur Rahman, Muhammad Yousuf Ali, Md. Shahin Parvez, Al-Hasan Antu, Md. Nazmul Ahsan 

...ative allometric growth (regression slope b ˂3). The highest b value (2.64) was observed in larvae fed with FF. Proximate analysis showed that larvae fed with FF had significantly higher protein content than the other treatments (p<0.05). Water quality parameters remained optimum throughout the experimental period. The feeds used in treatments did not show any deleterious effect on survival. Physiologically, FF led to significantly higher amylase activity ...

Zunaira Fatima Syeda1*, Ahafaque Ahmad Shah2, Farrah Deeba3 and Farheen Malik1

...ith the help of multiple regressions. The findings of the study concluded that the level of competence was found the same in male and female students. But, the level of competence was found in few competences when observed group wise. The relationship between generic competence and students’ grades was found in few competences. The impact of generic competence and students’ grades was also found in few competences. It was recommended that Students&...

Hamdy Abdala Elnagar, Wael Mohamed Wafa*, Abdelaziz Mustafa Sakr, Mohammed Mahmoud Hegazy 

...ctively). The polynomial regression equation for all hormones gave the highest R2 values 0.889 and 0.971 for the unique measurement of age-TES and both age-leptin and age-PRL, respectively. A negative correlation was recorded between TES-leptin at all ages (r ranged between -0.656 and -0.995). The correlation between TES-PRL was significant at 1 (r=-0.701), 12 (r=-0.609), and 24 (r=-0.724) month of age. Leptin significantly correlated with PRL at 1 month (r=0....
Bulkaini*, Syamsuhaidi, Yusuf Sutaryono, Djoko Kisworo, Sukirno, Sukarne, Tapaul Rozi
...rosoft Excel program and regression correlation analysis. The results showed that carcasses with large size categories 77.67%, medium size 17.51% and small size 4.81%, while quality, which includes quality I, was 63.06%, quality II was 32.68%, and quality III was 4.26%. Broiler chicken pure meat products circulating in the traditional markets of Lombok and Sumbawa were respectively 54.21% and 57.83%. Conclusion: Carcass characteristics and pure meat production...

Oluwaseun Adetarami1*, Oluwatoyin Olagunju2, Babatunde Adebayo Oyebamiji1, Adegboyega Abel Odeyemi3 and Sina Basil Johnson4

...technique and logitistic regression were used. Results of the budgeting technique showed that each farmer of the FBS approach had a mean profit of ₦ 81,134.65 with a cost benefit ratio of 1.09. The results of logistic regression revealed that the age of cocoa farmer, level of education, extension contact, farm size and cocoa annual income are major determinants influencing the utilization of FBS approach. The study conclud...

Muhammad Islam1,4*, Farrukh Shehzad1, Muhammad Omar2, Abdul Qayyum3 and Rabia Siddiqui4

...pound growth exponential regression models (CGREM) with linear regression models (LRM) to predict the wheat area, yield and population explosion. The historical data are collected from 1950 to 2020 and ML models are deployed using the 80% train and 20% test datasets. Various combinations of train test split have been applied to check the precisions of data partitions subset on the deployed models. ML model predict that the w...

Najmul Saqib* and Himayathullah Khan

...in KP. A Multiple linear regression model was used to find out the effect of area under agroforestry, number of fruit and wood trees on farm, schooling level of household head, number of farm labor and adopted agroforestry practices on farm income. It was found that the effect on annual farm income by a unit increase in area under agroforestry was Rs.44.379, number of fruit trees was Rs.0.344 and wood trees on farm was Rs. 0.240, quantity of crops under these ...

Khalid Khan1*, Ahmed Farhan Saeed2, Sanam Wagma Khattak3 and Saima Liaqat4

...ion coefficient test and regression analysis are carried out. The study accentuated various factors which are responsible for the adaptation of poultry technologies and their standard practices. The study found that the lack of education, training, availability of credit and information, managerial skills, low income, and market accessibility are the key impediments to the adoption of advanced technologies and standard practices in the poultry business in the ...

Victoria Rankotsane Hlokoe, Thobela Louis Tyasi* 

...o detect the best-fitted regression model for the prediction of BW of Nguni cattle. A total of 70 Nguni cattle (59 females and 11 males) aged 2-4 years were employed in the current study. Pearson’s correlation and stepwise regression techniques were employed for the analysis of data. The association findings showed that BW had a positively high significant association (P < 0.01) with WH (r = 0.94), HG (r = 0.91), RH...

Misbah ud Din1, Shah Alam Khan1, Said Hussain Shah1,2* and Najeeb Ullah3

...eld productions, whereas regression of the slop of the tested insecticides based IPM strategy is to be applied for aphids control measure in canola crop.

...

Misbah ud Din1, Shah Alam Khan1, Said Hussain Shah1,2* and Najeeb Ullah3

...eld productions, whereas regression of the slop of the tested insecticides based IPM strategy is to be applied for aphids control measure in canola crop.

...

Madumetja Cyril Mathapo and Thobela Louis Tyasi*

...lation and simple linear regression were used for data analysis. Phenotypic correlation outcomes indicated that SC had a positive statistically significant (P<0.05) correlation with BW (r = 0.425) and non-significant correlation with BL (r = 0.108), HG (r = 0.082), RH (r = 0.038), WH (r = 0.097) and SH (r = 0.280), while TL had non-significant correlation with BW (r = 0.009), BL (r = -0.351), HG (r = -0.147), RH (r = -0.108), WH (r = -0.086) and SH (r = 0.0...

Lei Xu1, Qin Yang2 and XiaoYan Zhang3,*

...05). Results of logistic regression analysis revealed that AACS, eGFR, FGF-23, iPTH, serum phosphorus and 25(OH)D were the independent risk factors of sclerosin (P < 0.05). PD patients present with the significant elevation in the level of sclerosin in serum, which is clearly associated with the levels of AACS, eGFR, FGF-23, iPTH and serum levels of phosphorus and 25(OH)D.

...

Pakistan Journal of Zoology

October

Vol. 54, Iss. 5, Pages 2003-2500

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