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
...of disease incidence and environmental variables and validated by two years data collected in Faisalabad, Pakistan. Maximum and minimum air temperatures, relative humidity and rainfall were employed as independent variables while PLRV disease incidence served as the response variable. Stepwise regression analysis was performed to select potentially useful predictor variables for model development. In stepwise regression analysis minimum temperature, relative h...
Liumeng Zheng1, Yanmei Wang1, Jiagui Zhu2, Ke Wang2, Dejing Cai2, Yuanzhao Qin3, Yuming Guo3, Hongxing Niu1,* and Yanzhen Bu1,*
...entropy model with seven environmental variables to evaluate habitat suitability. Our results indicate that the current reserve may be too small to meet the crested ibises’ needs in the future, and we believe that more ibises will disperse outside the reserve as the population expands. The distribution of crested ibises in the Dongzhai Reserve area was mainly affected by altitude, followed by distance to forest, and distance to roads. Notably, our study ...
Wael S. El-Tohamy1,*, Russell R. Hopcroft2 and Nagwa E.M. Abdel Aziz3
...ton community and eleven environmental variables were investigated seasonally during 2014 through nine stations in the Damietta estuary of the Nile River. Meroplanktonic larvae were the major component representing 39.4% of the total zooplankton abundance. Copepods and their larval stages contributed 36.2%. Rotifers ranked the third important group (12.6%). Protozoa contributed 10.6% of the total community. According to the Canonical Correspondence Analysis (C...
Haozhen Liu1, Xiangfu Li2, Yinong Wang1,*, Xun Liu3,4, Li Wang1, Dong Liu1, Chen Chen1, Jinjing Li1, Haifeng Jiao5 and Zhongjie You1,5
...gshan and elucidate main environmental variables that shape their spatial patterns. The environment of the study area has significant spatial heterogeneity. Environmental variables of sediment and water column were studied to provide models for spatial patterns of macrobenthic assemblages. Result showed that most of variation in macrobenthic spatial patterns were explained by the studied environmenta...

Pakistan Journal of Zoology

October

Vol. 51, Iss. 5, Pages 1599-1997

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