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Soil Application of Trichoderma and Peach (Prunus persica L.) Residues Possesses Biocontrol Potential for Weeds and Enhances Growth and Profitability of Soybean (Glycine max)

SJA_36_1_10-20

 

 

 

Research Article

Soil Application of Trichoderma and Peach (Prunus persica L.) Residues Possesses Biocontrol Potential for Weeds and Enhances Growth and Profitability of Soybean (Glycine max)

Imran1*, Amanullah1, Muhammad Arif1, Zahir Shah2 and Abdul Bari3

1Department of Agronomy, 2Department of Soil and Environmental Sciences, The University of Agriculture, Peshawar, Khyber Pakhtunkhwa, Pakistan; 3Director Agriculture Research (Research wing of KP) Institute Mingora Swat, Khyber Pakhtunkhwa, Pakistan.

Abstract | Weed is a limiting factor to various economically important agricultural crops including cereal, oil seed, legumes and cash crops. Minimizing pest losses in addition to better crop management is a way toward narrowing the yield gap and ensuring food security. The present study was carried out to investigate the impact of peach (Prunus persica L.) residues and soil application of Trichoderma (soft-rot fungi) along with seed inoculation of phosphate solubilizing bacteria (PSB) (Pseudomonas) and phosphorus (P) on weeds frequency, and biomass at various growth stages of soybean and its yield contributing parameters. The consecutive field experiments for years 2016 and 2017 using randomized complete block design (RCBD) were conducted on soybean (cv. Malakand-96) crop. Experimental treatments included three organic sources, three phosphate rates and two beneficial microbes. Weeds found during the whole growing period of soybean crop were Euphorbia heterophylla L, Phyllanthus fraternus L., Portulaca oleracea L., Parthenium hysterophorus L., IPomoea nil L., Erigeron canadensis L., Echinochloa crus-galli L., Asparagus officinalis L., Cynodon dactylon L., Digera muricata L., Cyprus rotundus L. and Solanum nigrum L. The most abundant and flourished weeds were Cyprus rotundus L, and Cynodon dactylon. Results revealed that peach organic sources (biochar) and Trichoderma drastically reduced weeds frequency, weeds biomass at flowering, pods formation and physiological maturity stages. However, P highest and moderate (100 and 75 kg P ha-1) rates were remained the same for weeds biomass. When compared with the economic analysis and profitability of soybean the highest net returns (NR) in Pakistani Rupees (PKRs) (PKR 62.082 ha-1) were noted with the biochar amendment followed by compost (PKR 60,168 ha-1), whereas least net return NR (PKR 41,548 ha-1) was recorded with peach residues incorporation. The value cost ratio (VCR) was highest with compost application (5.48) among the organic sources followed by biochar (5.37), while the least VCR value (4.67) was observed with peach residues. Beneficial microbe’s application indicated that highest NR (PKR 67,453 ha-1) were attained with soil application of Trichoderma followed by seed inoculation of PSB (PKR 62,695 ha-1). When compared the average VCR of both years, greater VCR was attained by Trichoderma followed by PSB.


Received | January 03, 2019; Accepted | December 1, 2019; Published | January 10, 2020

*Correspondence | Imran, Department of Agronomy, The University of Agriculture, Peshawar, Khyber Pakhtunkhwa, Pakistan; Email: imranagrarian@aup.edu.pk

Citation | Imran, Amanullah, M. Arif, Z. Shah and A. Bari. 2020. Soil application of Trichoderma and peach (Prunus persica L.) residues possesses biocontrol potential for weeds and enhances growth and profitability of soybean (Glycine max). Sarhad Journal of Agriculture, 36(1): 10-20.

DOI | http://dx.doi.org/10.17582/journal.sja/2020/36.1.10.20

Keywords | Beneficial microbes (PSB and Trichoderma), Biochar, Compost, Peach residues, Profitability, Weeds, Biomass, Growth, Soybean



Introduction

Several factors affect growth and yield of agronomic crops. The most important factor responsible for reduction in yield is weeds competition with crop for available resources (Imran et al., 2016). Poor yields of cereals has been associated with lack of proper resources and weed management (Harman et al., 2004; Druzhinina et al., 2006; Ali et al., 2018). Weed threats occur at various crop growth stages (Atehnkeng et al., 2008; Gilardi et al., 2008; Mukherjee et al., 2012; Imran, 2018). In addition to the availability of essential nutrients and soil moisture, successful cereals cultivation largely depends on efficient weed control (Hjeljord et al., 2000). In addition to competing for water and nutrients weeds also serve as alternative host to various pathogens or their insect carriers (Imran et al., 2017). Utilizing the fertilizers and water use to the bursting potential is dependent effective weeds control strategies (Steyaert et al., 2003), and necessitates the proper eradication measures for enhancement of soil health (Howell, 2003; Yaqub and Shahzad, 2008; Vinale et al., 2008). Severe loses up to 70 % in yield of soybean has been reported by many researchers (Howell et al., 2000; Yedidia et al., 2003; Harman et al., 2004). For effective weeds control, most farmers use herbicide, which degrades the soil environment as well as the atmospheric environment and human health (Herrera-Estrella and Chet, 2004; Har-man, 2006; Vinaleet al., 2008; Imran et al., 2016). Trichoderma spp. are highly successful colonizers of their habitats, which is reflected both by their efficient utilization of the substrate at hand as well as their secretion capacity for antibiotic metabolites and enzymes (Schaster and chmoll, 2010). Trichoderma are successful in biological control because they have shown variously an ability to parasitize pathogenic fungi, and produce compounds that are toxic to weeds, or enzymes that lyse the cell walls of non-hosted plants (Atehnkeng et al., 2008). They may also enhance plant growth and vigor, enabling the host plant to successfully defend itself against attack. This study was conducted to evaluate the impact of soil application of Trichoderma along with P and peach residues for biocontrol of weeds and to enhance soil health and profitability of the farmers with the advantage to indicate the direction for future research on studies related to biocontrol potential of Trichoderma under field condition.

Materials and Methods

Field experiments were conducted for two consecutive years at Agriculture Research Institute Mingora (ARI) Swat, Pakistan in summer seasons of 2016 (year 1) and 2017 (year 2) on soybean (cv. Malakand-96) crop. The experiments were carried out in a randomized complete block design (RCBD) with three replications. Experimental treatments were comprised on organic sources @ 1 kg m-2(peach residues, leaves and fruits having no stones (partially decomposed), its well decomposed compost comprised of leaves and fruits having no stones and its biochar (peach tree stem, with peach stones, leaves and twigs), three phosphorus levels and two beneficial microbes, PSB (Pseudomonas, (bacteria) and Trichoderma (soft-rot fungi). The required P levels, using single superphosphate (SSP) as source of P and beneficial microbes (Trichoderma and PSB) were applied along with basal dose of N (urea) (25 kg ha-1) at the time of sowing. The field was ploughed twice up to the depth of 30 cm with the help of cultivator followed by planking. The plot size kept was 4 m in length and 2.7 m in width (10.8 m2) with row to row spacing of 45 cm and plant to plant distance of 5 cm. Soybean (cv. Malakand-96) was sown at the rate of 100 kg ha-1 on July 4th 2016 and 2017, respectively. PSB was inoculated to soybean seed (20 g kg-1 seed) for the required treatment at the time of sowing, whereas Trichoderma was incorporated (@ 2000 g ha-1) in to the soil in each plot at the time of sowing. PSB and Trichoderma were provided by Agriculture Research Institute Mingora Swat for this study. Climatic data and physico-chemical properties of soil before planting soybean for both the years are presented in Figure 1 and Table 1. The data was analyzed according to Steel et al. (1996) and mean of both years were compared using LSD test (P ≤ 0.05).

Table 1: Soil analysis of the experimental site for both years (2016 and 2017).

Soil property Unit Year 2016 Year 2017
Clay % 11.6 11.6
Silt % 50 50
Sand % 38.4 38.4
Textural Class - Silt loam Silt loam
pH (1:5) - 5.8 6
Organic Matter % 1.38 4.18
Lime contents % 4 2
Total Nitrogen % 0.069 0.16
AB-DTPA extract. P (ppm)

mg kg-1

10.28947 14.26
AB-DTPA extract. K (ppm)

mg kg-1

76 186

 

Experimental detail and soil texture

Experiment was carried out at ARI Swat and located at the temperate region of KP, Pakistan. Average rainfall at Swat varies from 750 to 900 mm annum-1. Experimental field soil was silt loam in nature with acidic characteristic deficient in soils organic matter, N, P and available K (Table 1).

Methodology for data collection and economic analysis

Data was collected on emergence m-2, days taken to emergence, branches produced plant-1, leaves plant-1, weeds frequency and weeds biomass at three stages (flowering, pods and physiological maturity). Emergence m-2 was noted with the help of quadrates thrown randomly in each plot, counted the emerged plants and then averaged. Days to emergence was carried out on visual based observation and counted from date of sowing till emergence. Branches and leaves plant-1 were counted randomly in five selected plants and then averaged. Weeds frequency was noted with the help of quadrates thrown in each plot and then weeds were identified according to the genera and specie, counted and then averaged each genera and specie of weeds. Weeds biomass at each stage (flowering, pods and physiological maturity) was calculated in each plot over the both years. Weeds were uprooted at each stage and fresh and dry weight was determined with the help of electronic balance. Economic analysis was carried out on the basis of phosphorus, beneficial microbes and organic sources application (Table 4). Economic analysis was based on current market price of soybean grain kg-1, soybean straw price kg-1, peach residues cost for collection, transportation, compost making, biochar preparation and labor cost was included. Similarly, retail price of P and beneficial microbes was kept according to current market rate of each year. Retail price (RP) of 1 kg soybean grain in PKRs = 56.00; Soybean straw RP kg-1 = 04.00; Residues cost in PKRs = 8,250 and 9,510; Compost cost in PKRs = 10,440 and 11,490; Biochar cost in PKRs = 10,800 and 12,300 was in each year of study (2016 and 2017); Price for 1 kg phosphorous in PKRs = 105; Price of Trichoderma for 1 hectare in PKRs = 4,700; Price of PSB for 1 hectare in PKRs = 5,280; * Value cost ratios determined using net returns values.

Table 2: Days to emergence (DE), emergence m-2 (Em-2), number of branches plant-1 (NBP) and number of leaves plant-1 (NLP) of soybean as influenced by organic sources, beneficial microbes and phosphorus levels (data pooled for the two year of 2016 and 2017).

Treatments DE Em-2

NBP NLP
Organic Sources (OS)
Peach Residues 10.6 21.6 15.8c 124b
Peach Compost 10.8 22.4 18.8a 133a
Peach Biochar 11.3 21.7 16.7b 132a

LSD 0.05

ns ns 0.6 2.96
Beneficial Microbes (BM)
PSB 10.9 22.2 16.6b 127b
Trichoderma 10.9 21.7 17.6a 129a
Sig Level ns ns *** ***

Phosphorus (kg ha-1)

50 10.8 21.9 14.8b 121c
75 11.0 20.3 18.4a 131b
100 10.9 21.9 18.1a 136a

LSD 0.05

ns ns 0.59 2.96
Years (Y)        
2016 10.9 19.9 17.3 128.3
2017 10.9 22.0 16.9 130.4
Sig Level ns ns ns Ns
Planned Mean Comparison
Control 10.8 22.0 14b 118b
Rest 10.9 21.9 17a 129a
Sig Level ns ns *** ***

Whereas *** = p < 0.001, ** = p < 0.01 and * = p < 0.05 though ns, stand for non-significant.

Results and Discussion

Phenological and growth parameters of soybean

Days to emergence: Organic sources, beneficial microbes and phosphorus levels and its interactions (OS x BM x PL) had non-significant effect on days to emergence (Table 2). The assessment regarding emergence was same in all treated plots as compared to control. It could be concluded that emergence capability might be genetic character of the cultivar (Gilardi et al., 2008; Mukherjee et al., 2012; Imran, 2018; Howell, 2003). The findings are supported by Muhammad et al. (2016) and Paliwal et al. (2011) who reported that emergence did not respond positively to biochar and other organic amendments. Similar results were reported by Waghmare et al. (2014), who reported that germination behaviour and vigour of seed under various treatments was not significantly different compared with non-treated plots. Although Callan et al. (1991) reported that emergence increased with the inoculation of beneficial microbes. Similarly, Thakur et al. (2011) and Ahmad et al. (2014) revealed that interaction of genotype and environment can affect the final establishment of the seedling.

Emergence (m-2): Peach residues, compost and biochar (OS), phosphorus levels and beneficial microbes had non-significant effect on emergence m-2 (Table 2). The reason could be that all these treatments have no capability to bring chemical changes in the seed and activate enzymes to lead the seed for quick emergence (Yedidia et al., 2003; Harman et al., 2004; Herrera-Estrella and Chet, 2004). These findings are in relation with Muhammad et al. (2016) and Ali et al. (2018) who concluded that biochar and its various rates did not enhance seed viability, seeds germination behaviour and other traits of soybean seeds. The results are in line with those of Aise et al. (2011) who reported that P application did not affect emergence m-2 of soybean. Ahmad et al. (2013) reported that chemical and bio fertilization did not affect emergence m-2 of soybean crop. Our results were in contrast with those of Alahdadi et al. (2009) who discovered that soybean emergence index and germination percentage increased with P application. Imran and Amanullah (2018) reported that biochar, P and beneficial microbes enhance soil health and soybean productivity. The justification of our results could be that, at the time of emergence, the seeds lacks of real and permanent roots to uptake P and other nutrients that’s why our results in contrast with the above findings.

Number of branches plant-1: Perusal of the data showed that branches plant-1 was significantly enhanced with organic sources, phosphorus and beneficial microbes (Table 2). Maximum branches plant-1 (17) were noted in rest plots as compared to control plots. Peach compost showed maximum value for branches plant-1 (19) followed by biochar (17) amendments, whereas peach residues produced minimum branches plant-1 (16). Beneficial microbes also showed ameliorating effect on number of branches plant-1 and Trichoderma treated plots gave more branches than seed inoculation of PSB (17). In case of P treatments, significantly higher values of branches per plant (18.4) was recorded by application of 75 kg P ha-1 being at par with 100 kg P ha-1 (18.1), whereas lowest branches (14.8) plant-1were recorded with 50 kg P ha-1. The interactions between OS x BM, OS x PL, BM x PL and OS x BM x PL were found significant (Figures 2, 3, 4 and 5). Alahdadi et al. (2009) reported that soil amendments increased significant shoot length and biomass plant-1 (Vinale et al., 2008; Imran et al., 2016; Komon-Zelazowska et al., 2007). Chakraborty et al. (2016) supported the above statements and concluded that soybean growth and yield was better with incorporation of compost than FYM. It could be attributed to comparatively better regulated supply of nutrients by the compost as compared to biochar and peach dry based residues. These results are also in corroboration with Akter et al. (2013) and Ali et al. (2018) who reported that soybean plant growth, plant biomass and branches plant-1 improved with incorporation of organic amendments (Imran et al., 2016; Harman et al., 2004).

Number of leaves plant-1: Organic sources, phosphorus levels, beneficial microbes and control vs rest plots ensured highest leaves plant-1 while year effect was non-significant (Table 2). The rest plots had maximum leaves plant-1(129) as compared to control plot (118). Among the organic sources, compost and biochar amendments produced on par value leaves plant-1 (133 and 132) followed by peach residues (124). This might be due to the capability of essential nutrients supply for vigorous and flourished growth that might have brought morphological changes in the plant canopy and enhanced leaf numbers respectively (Ali et al., 2015; Arif et al., 2017; Steyaert et al., 2003; Howell et al., 2000). Bbeneficial microbes’ application enhanced number of leaves and soil application of Trichoderma produced more leaves plant-1 (129) as compared to PSB (127). Phosphorous application enhanced leaves in soybean from lowest to the highest level (50 to 100 kg ha-1). Maximum leaves plant-1 (136) were produced by plots treated with 100 kg P ha-1 followed by P treated with 75 kg ha-1 (131) whereas lowest leaves plant-1 (121) was recorded with 50 kg P ha-1. The possible reasons could be that beneficial microbes solubilize soil P and enhance P supply and ultimately crop productivity (Harman et al., 2004; Druzhinina et al., 2006; Ali et al., 2018). Akhtar et al. (2009), Akpalu et al. (2014) stated that higher crop yield was resulted from availability and solubilisation of fixed soil P by the beneficial microbes’ application. Beneficial microorganisms having phosphate solubilizing potential may increase the availability of phosphate and improving biological nitrogen fixation in legumes and soybean crop (Herrera-Estrella and Chet, 2004; Harman 2006; Vinale et al., 2008). Interaction between OS x BM increased leaves quantity when compost and Trichoderma was combine applied. Interaction between OS x PL showed that more leaves plant-1produced with compost and 100 kg P ha-1. Interaction between BM x PL revealed that leaves quantity was increased with Trichoderma along with 100 kg P ha-1.

Biocontrol of weeds

Weeds frequency (m-2): Weeds frequency was substantially diverse in control plot as compared to rest plots (Table 3). Organic sources and years significantly affected weeds frequency. More generous of weeds were noted in peach residues and compost, followed by biochar application correspondingly. Temporal effect was significant and noted that in year 1 weeds frequency (6) was greater than year 2. The most flourished and abundant weeds were “Cynodon dactylon L”. and “Cyprus rotundus L”. The interaction between Y x OS had maximum weed frequency with application of peach residues in year 1. The reason for low weeds frequency might be Trichoderma contributes biocontrol potential and act as an herbicide by secretion of secondary metabolites (Herrera-Estrella and Chet, 2004; Har-man 2006; Vinale et al., 2008; Howell, 2003; Yaqub and Shahzad, 2008; Vinale et al., 2008). The results were supported by Ali et al. (2015) who illustrated herbicidal potential of four Trichoderma species viz. “T. harzianum Rifai, T. pseudokoningii Rifai, T. reesei Simmons and T. viride Pers. against Rumexdentatus”, an important and noxious weed of wheat by foliar application (Herrera-Estrella and Chet, 2004; Har-man 2006; Vinaleet al., 2008).

Weeds biomass at flowering stage (g m-2): Control plots had maximum weeds biomass (146.4 g m-2) as compared to rest plots (76.3 g m-2) (Table 3). Organic sources significantly reduced weeds biomass by the application of peach compost. Peach residues produced more biomass (88.5 g m-2) as compared to biochar amendments (81.2 g m-2). In case of beneficial microbes, soil application of Trichoderma was promising in weeds biomass reduction as compared to PSB (84.9 g m-2). The findings were supported by Imran et al. (2016) who reported that Trichoderma have chemically divers secondary metabolites having plant inhibitor potential which may reduce weeds growth and biomass. These findings were found in connection with those of Herrera-Estrella and Chet (2004), Har-man (2006) and Vinale et al., (2008) who reported that beneficial microbe’s application to soil act as a biocontrol agent for pathogens and weeds.

Table 3: Weeds frequency (m-2) WF, weeds biomass at flowering stage (WBFS) (g m-2), weeds biomass at pods formation stage WBPS (g m-2) and weeds biomass at physiological maturity stage WBPMS (g m-2) of soybean as influenced by organic sources, beneficial microbes and phosphorus levels (data pooled for the two year of 2016 and 2017).

Treatments WF WBFS WBPS WBPMS
Organic Sources (OS)
Peach Residues 7a 88.5a 86.5a 63.5a
Peach Compost 7a 59.2b 60.6b 55.3b
Peach Biochar 6b 81.2a 83.5a 48.2c

LSD 0.05

1.0 10.71 10.17 5.66
Beneficial Microbes (BM)
PSB 7 84.9a 82.9a 59.5a
Trichoderma 5 67.8b 70.9b 51.8b
Sig Level ** *** ** **

Phosphorus (kg ha-1)

50 7 60.6b 59.9b 40.7b
75 6 82.9a 84.4a 61.8a
100 6 85.5a 86.3a 64.5a

LSD 0.05

ns 10.71 10.17 5.66
Years (Y)        
2016 8a 75.0 85.3 51.6
2017 5b 77.6 68.4 59.7
Sig Level * Ns Ns Ns
Planned Mean Comparison
Control 12a 146.4a 144.0a 66.8a
Rest 6b 76.3b 76.9b 55.7b
Sig Level *** *** *** *

Whereas *** = p < 0.001, ** = p < 0.01 and * = p < 0.05 though ns, stand for non-significant.

Phosphorus levels had significant effect on weeds biomass and highest weeds biomass (85.5 g m-2) was recorded with 100 kg P ha-1, followed by 75 kg P ha-1. Minimum weeds biomass (60.6 g m-2) was noted with 50 kg P ha-1 application. The possible reason for higher weeds biomass at highest P level along with PSB application depends on frequent supply of P (Herrera-Estrella and Chet, 2004; Har-man, 2006; Vinale et al., 2008; Imran et al., 2016).

Interaction between OS x BM, OS x PL, BM x PL and OS x BM x PL was significant and observed that maximum weeds biomass was noted as P level were increased from 50 to 100 kg ha-1 along with the application of biochar and dry based peach residues. Interaction between OS x BM x PL showed that maximum weeds biomass produced with application of peach residues and biochar, PSB along with P application at the rate of 100 kg ha-1. Vinale et al., (2008) and Imran et al. (2017) stated that Trichoderma is a very effective biological mean for plant disease management especially the soil born. It is a free-living fungus and common in soil and root ecosystems. It is highly interactive in root, soil and foliar environments. It reduces growth, survival or infections caused by pathogens by different mechanisms like competition, antibiosis, mycoparasitism, hyphal interactions, and enzyme secretion. They further stated that biological potential of Trichoderma for weeds control has been realized in recent years known as mycoherbicides application.

Weeds biomass at pods development stage (g m-2): Control plots produced highest weeds biomass (144.0 g m-2) as compared to rest plots (76.9 g m-2) (Table 3). At this stage of the plant promising reduction in weeds biomass was noted with Trichoderma (70.9 g m-2) than PSB (82.9 g m-2). This could be attributed to biocontrol of weeds by using Trichoderma known as fungal pathogen. Phosphorus levels had also significant effect on weeds biomass and highest weeds biomass (86.3 g m-2) were recorded with 100 kg P ha-1, followed by at par 75 kg P ha-1. Minimum weeds biomass was noted with 50 kg P ha-1 (59.9 g m-2). The interaction between OS x BM x PL was significant and noted that weeds biomass was increased with application of peach residues and PSB along with P application at 100 kg P ha-1. Akpalu et al. (2014) reveal that diverse chemical secretion of Trichoderma spp. may reduce and supress weeds growth working as a biocontrol agent (Komon-Zelazowska et al., 2007; Imran et al., 2016, 2017). Trichoderma is a potent biocontrol agent and used extensively for weeds control and soil borne diseases. It has been used successfully against pathogenic fungi belonging to various genera, viz. Fusarium, Phytopthara, Scelerotia etc.

Weeds biomass at physiological maturity stage (g m-2): Control plots produced absolute weeds biomass (66.8 g m-2) as compared to rest plots (55.7 g m-2) (Table 3). Organic sources application had significant effect on weeds biomass at maturity stage. Reduction in weeds biomass at this stage was maximum with application of peach biochar (48.2 g m-2) followed by peach compost (55.3 g m-2). Dry based peach residues amendments produced maximum weeds biomass (63.5 g m-2). In case of beneficial microbe’s application, drastic reduction in weeds biomass was noted with Trichoderma (51.8 g m-2) as compared to PSB (59.5 g m-2). The possible reason might be due to several Trichoderma increase root branching and increase shoot biomass as a consequence of cell division, expansion and differentiation by the presence of fungal auxin like compound which dominate the plant canopy and suppress weeds growth and development.

Phosphorus levels had also significant effect on weeds biomass and highest weeds biomass (64.5 g m-2) were recorded where P was treated at the rate of 100 kg ha-1, followed by at par 75 kg P ha-1.

Minimum weeds biomass was noted with 50 kg P ha-1 application (40.7 g m-2). Interaction between OS x PL, BM x PL and OS x BM x PL was significant and observed that maximum weeds biomass was noted as P levels were increased from 50 to 100 kg ha-1 along with application of biochar (Figure 7). Interaction between OS x BM x PL (Figure 6) showed that weeds biomass increased with application of peach residues, PSB along with 100 kg P ha-1. Imran et al. (2016) reported that crop residues amendments may enhance weeds density and weeds biomass. Akhtar et al. (2009) reported that Trichoderma had diverse chemical nature and may supress weeds growth and development by secretion of toxic compounds (Atehnkeng et al., 2008; Gilardi et al., 2008; Mukherjee et al., 2012). Imran (2018) revealed that Trichoderma strains are known to induce resistance in plants and tolerate parasitic weeds. There are three classes of compounds that are produced by Trichoderma and induce resistance in plants are now known. These compounds induce ethylene production, hypersensitive responses and other defense related reactions in plant cultivars.

Economic evaluation

Profitability and economic analysis was done for organic sources, P levels and beneficial microbes independently considering the prevailing cost incurred

Profitability of phosphorous

In year one, maximum net returns in PKRs 72,521 ha-1 were attained by soybean plots treated with 100 kg P ha-1 followed by 75 kg P ha-1 (PKR 65,366 ha-1), whereas minimum (31,272 PKR ha-1) was with 50 kg ha-1 (Table 4). The VCR was higher in 75 kg P ha-1 treated plots (8.30) followed by 100 kg P ha-1 (6.91) and 50 kg P ha-1 was the least (5.96) among all the P levels. In year two, highest net returns (PKR 80,532 ha-1) was achieved by P treated at the rate of

Table 4: Profitability (PKR ha-1) of soybean cultivation on account of incorporation of organic sources, phosphorus application and beneficial microbes (data pooled for two years).

Treatment Seed value Soybean straw value Total value Cost of respective treatment Increase over control Net returns Value cost ratio*
Phosphorus levels
Control 51977 22607 74584        

50 kg ha-1

87867 22547 110414 5250 35830 30580 5.8

75 kg ha-1

119552 27366 146918 7875 72334 64459 8.2

100 kg ha-1

132389 29223 161612 10500 87028 76528 7.3
Organic sources
Control 51977 22607 74584 - - - -
Peach Residues 101232 23780 125012 8880 50428 41548 4.67
Peach Compost 119859 25858 145717 10965 71133 60168 5.48
Peach Biochar 118717 29499 148216 11550 73632 62082 5.37
Beneficial microbes
Control 51977 22607 74584 - - - -
PSB 107141 25418 132559 5280 57975 52695 9.98
Trichoderma 119397 27340 146737 4700 72153 67453 14.35

 

Retail price of 1 kg soybean grain in PKRs: 56.00; Retail price of 1 kg soybean straw in PKRs: 04.00; Residues cost in PKRs: 8,250 and 9,510; Compost cost in PKRs: 10,440 and 11,490; Biochar cost in PKRs: 10,800 and 12,300 was in each year of study (2016 and 2017); Price for 1 kg phosphorous in PKRs: 105; Price of Trichoderma for 1 hectare in PKRs: 4,700; Price of PSB for 1 hectare in PKRs: 5,280; * Value cost ratio determined using net returns values.

100 kg P ha-1 followed by P at the rate of 75 kg ha-1 (PKR 63,550 ha-1) and minimum (PKR 29,887 ha-1) with 50 kg ha-1. Highest VCR value was given by 75 kg P ha-1 followed by 100 kg P ha-1 (7.67). When combined over the two years, maximum net returns (PKRs 76,528 ha-1) were gained with P at the rate of 100 kg ha-1 followed by 75 kg P ha-1 (PKRs 64459 ha-1), although least (PKR 30580 ha-1) were with 50 kg P ha-1. The least value cost ratio with lowest P rate (5.8) was reasonably increased to 8.2 as P levels increased to 75 kg ha-1 and then decreased to 7.3 at 100 kg P ha-1. Similar results are reported by many researchers (Atehnkeng et al., 2008; Gilardi et al., 2008; Mukherjee et al., 2012; Imran, 2018).

Profitability of organic sources

Highest net returns and value cost ratio for seed in year one were obtained with peach biochar having value in PKRs 69,586 ha-1 and 6.44 followed by peach compost PKR 59,126 ha-1 and 5.66, respectively (Table 4). The lowest net returns (PKR 34,583 ha-1) and VCR (4.19) were associated with peach residues. In year two, maximum net returns (PKR 40,167 ha-1) and value cost ratio (3.5) were obtained with peach compost followed by peach biochar with net returns (PKR 33,535 ha-1) and value cost ratio (2.73). Minimum net returns (PKR 27,473 ha-1) were recorded by peach residues, but value cost ratio was slightly higher (2.89) than peach residues. When combined over the two years, net returns (PKR 62,082 ha-1), were highest in peach biochar followed by peach compost (PKR 60,168 ha-1), whereas least net returns (PKR 41,548 ha-1) were with peach residues. The VCR was highest in peach compost amendment (5.48) among the organic sources followed by peach biochar (5.37), while the least (4.67) in peach residues incorporated plots. Many worker indicated that farmer income could be enhanced with integrated fertilization (Yedidia et al., 2003; Harman, 2006).

Profitability of beneficial microbes

Economic analysis brought out that net returns (PKR 67,248 ha-1) were higher with Trichoderma inoculated plots followed by PSB (PKR 51295 ha-1) in year one (Table 4). The value cost ratio (VCR) was greater with Trichoderma inoculation (14.31) than PSB (9.71). In year two, maximum net returns were attained with Trichoderma (PKRs 67655 ha-1) followed by PSB (PKR 54,095 ha-1). Greater VCR (14.39) was gained with Trichoderma inoculation tailed by PSB (10.25). When combined over the two years, average pronounced net returns (PKR 67,453 ha-1) were attained with Trichoderma followed by PSB (PKR 62,695 ha-1). Comparison of average value cost ratio of both years revealed greater value (14.35) with Trichoderma followed by PSB (9.98). These results were supported by Imran et al. (2016) who revealed that farmer’s income enhanced with growing off season vegetable along with seed inoculation.

Conclusions and Recommendations

On the basis of economic analysis, value cost ratio for peach biochar (5:1), P at 75 kg ha-1 (8:1) and soil application of Trichoderma (14:1) produced highest net incomes and suggested that application of Trichoderma along with peach biochar reduce weeds growth, development and density and could improve net income and profitability. It be situated to consider impending investigation studies allied to weeds biocontrol prospective of Trichoderma under field condition.

Novelty Statement

This research work is done for the first time in Pakistan and will ena-ble the farmers to enhance soil health, crop productivity and weeds suppression through peach waste management with application of bio fertilizers and inorganic phosphorus application.

Author’s Contributions

Imran: Conducted research, manuscript write up, data collection, analysis and interpretation.

Amanullah: Chairman Supervisory committee of this research and timely guidance.

Muhammad Arif: Major member of Supervisory committee and supervision of this research work

Zahir Shah: Member of this research work and supervision related to soil work.

Abdul Bari: Co-supervisor.

References

Ahmad, W., F. Khan and M. Naeem. 2014. Improvement of physical properties of eroded agricultural soils through agronomic management practices. Indian J. Agric. Sci. 84(7): 850-855.

Ahmad, W., Z. Shah, F. Khan, S. Ali and W. Malik. 2013. Maize yield and soil properties as influenced by integrated use of organic, inorganic and bio-fertilizers in low fertility soil. Soil Environ. 32(2):121-129.

Aise, D., S. Erdal, A. Hasanand and M. Ahment. 2011. Effects of different water, phosphorus and magnesium doses on the quality and yield factors of soybean in Harran plain conditions. Int. J. Phys. Sci. 6(6): 1484-1495.

Akhtar, M.J., H.N. Asghar, K. Shahzad and M. Arshad. 2009. Role of plant growth promoting rhizobacteria applied in combination with compost and mineral fertilizers to improve growth and yield of wheat (Triticumaestivum L.). Pak. J. Bot. 41(1): 381-390.

Akpalu, M.M., H. Siewobr, D. Oppong-Sekyere and S.E. Akpalu. 2014. Phosphorus application and rhizobia inoculation on growth and yield of soybean (Glycine max L. Merrill). Am. J. Exp. Agric. 4(6): 674-685. https://doi.org/10.9734/AJEA/2014/7110

Akter, F., M.D. Nurul-Islam, A.T.M. Shamsuddoha, M.S.I. Bhuiyan and S. Shilpi. 2013. Effect of phosphorus and sulphur on growth and yield of soybean (Glycine max L.). Int. J. Biores. Strs. Manage. 4(4): 555-560.

Alahdadi, I., T. Masoumeh, I. Hamid and A. Omid. 2009. The effect of biofertilizer on soybean seed vigor and field emergence. J. Food, Agric. Environ. 7 (3 and 4): 420-426.

Ali, K., M. Arif, B. Islam, Z. Hayat, A. Ali, K. Naveed and F. Shah. 2018. Formulation of biochar based fertilizer for improving maize productivity and soil fertility. Pak. J. Bot., 50(1): 135-141.

Ali, K., M. Arif, M.T. Jan, M.J. Khan and D.L. Jones. 2015. Integrated use of biochar: A tool for improving wheat quality, nutrient uptake and soil quality under degraded soils. Pak. J. Bot., 47(1): 78-86.

Arif, M., I. Muhammad, R. Muhammad, A. Kawsar, S. Kamran, U.H. Izhar and F. Shah. 2017. Biochar improves phosphorus use efficiency of organic-inorganic fertilizers, maize-wheat productivity and soil quality in a low fertility alkaline soil. Field Crops Res. (214): 25–37. https://doi.org/10.1016/j.fcr.2017.08.018

Atehnkeng, J., P.S. Ojiambo, T. Ikotum, R.A. Sikora, P.J. Cotty and R. Bandyopadhyay. 2008. Evaluation of atoxigenic isolates of Aspergillus flavusas potential biocontrol agents for aflatoxin in maize. Food Additives and Contaminants: Part A., 25: 1266-1273. https://doi.org/10.1080/02652030802112635

Callan, N.W., D.E. Mathreand J.B. Miller. 1991. Field performance of sweet corn seed bio-primed and coated with Pseudomonas fluorescens AB254. Hort Sci. 26: 1163-1165.

Chakraborty, B and H. Sujoy. 2016. Impact of inorganic and organic manures on yield of soybean and soil properties. Soybean Res. 14(2): 54-62. http://eands.eands.dacnet.nic.in

Druzhinina, I.S., A.G. Kopchinsky and C.P. Kubicek. 2006. The first 100 Trichoderma species characterized by molecular data. Mycoscience. 47 (2): 55−64. https://doi.org/10.1007/S10267-006-0279-7

Gilardi, G., D.C. Manker, A. Garibaddi and M.L. Gullino. 2008. Efficacy of the biocontrol agents Bacillus subtilis and Ampebmycesquisqualisapplied in combination with fungicides against powdery mildew of Zucchini. J. Plant Dis. Protect., 115: 208-213. https://doi.org/10.1007/BF03356265

Harman, G.E. 2006. Overview of mechanisms and uses of Tricho- derma spp. Phytopathol. 96 (2): 190−194. https://doi.org/10.1094/PHYTO-96-0190

Harman, G.E., C.R. Howell, A. Viterbo, I. Chet and M. Lorito. 2004a. Trichoderma species-opportunistic, avirulent plant symbionts. Nat. Rev. Microbiol., 2: 43-56. https://doi.org/10.1038/nrmicro797

Herrera-Estrella A. and I. Chet. 2004. The biological control agent Trichoderma – from fundamentals to applications. pp. 147−156. In: “Fungal biotechnology in agricultural, food and environmental applications” (D.K. Arora, M. Dekker, eds.). Vol. 21. CRC Press, New York, USA. pp. 700. https://doi.org/10.1201/9780203913369.ch13

Hjeljord, L.G., A. Stensvand and A. Tronsmo. 2000. Effect of temperature and nutrient stress on the capacity of commercial Trichoderma products to control Botrytis cinereaand Mucor piriformis in greenhouse strawberries. Biol. Control. 19: 149-160. https://doi.org/10.1006/bcon.2000.0859

Howell, C.R. 2003. Mechanisms employed by Trichoderma species in the biological control of plant diseases: the history and evolution of current concepts. Plant Dis. 87: 4-10. https://doi.org/10.1094/PDIS.2003.87.1.4

Howell, C.R., L.E. Hanson, R.D. Stipanovic and L.S. Puckhaber. 2000. Inductionofterpenoidsyn thesis in cotton roots and control of Rhizoctoniasolani by seed treatment with Trichoderma virens. Phytopathol., 90: 248-252. https://doi.org/10.1094/PHYTO.2000.90.3.248

Imran and Amanullah. 2018. Biochar application along with phosphorous and beneficial microbes ameliorates dry matter partitioning in maize and soybean. (PhD dissertation, paper unpublished).

Imran, A.A. Khan, I. Khan and S. Naveed. 2016. Weeds density and late sown maize productivity influenced by compost application and seed rates under temperate environment. Pak. J. Weed Sci. Res. 22(1): 169-81.

Imran, N., A. Jamal, A.A. Alamand and Khan. 2017. Grain yield, yield attributes of wheat and soil physio-chemical characteristics influenced by biochar, compost and inorganic fertilizer application. Agric. Res. Technol. Open Access J. 10(4): 1-6.

Imran. 2018. Organic matter amendments improve soil health, productivity and profitability of maize and soybean. Ann. Rev. Res. 1(3): 1-4.

Komon-Zelazowska, M., J. Bisset, D. Zafari, L. Hatvani, L. Mancz-inger, S. Woo, M. Lorito, L. Kredics, C.P. Kubicek and I.S. Dru-zhinina. 2007.Geneticallycloselyrelatedbutphenotypi-cally divergent Trichoderma species cause green mold dis-easeinoystermushroomfarmsworldwide. Appl. Environ. Microbiol. 73 (22): 7415−7426. https://doi.org/10.1128/AEM.01059-07

Muhammad, A., K.S. Khan, K.A. Zaman and N. Ahmad. 2016. Response of soybean varieties to maturity and biomass production under various planting dates. Pure Appl. Biol. 5(3): 418-425. https://doi.org/10.19045/bspab.2016.50054

Mukherjee, P.K., B.A. Horwitz and C.M. Kenerley. 2012. Secondary metabolism in Trichoderma – a genomic perspective. Micro-biology. 158 (1): 35−45. https://doi.org/10.1099/mic.0.053629-0

Paliwal, D.K., H.S. Kushawaha, H.S. Thakur, R.S. Tailor and A.K. Deshwal. 2011. Effect of vermicompost in combination with fertilizers on nodulation, growth and yield of soybean (Glycine max) in soybean-wheat cropping system. Soybean Res. 9: 95-102.

Schaster, A. and M. Schmoll. 2010. Biology and Biotechnologyof Trichoderma. Appl. Microbiol. Biotechnol., 87: 787-799. https://doi.org/10.1007/s00253-010-2632-1

Steel, R.G.D. and J.H. Terrie. 1996. Principles and procedures of statistics: A biometrical approach. 2nd ed. McGraw-Hill, New York.

Steyaert, J.M, H.J. Ridgway, Y. Elad and A. Stewart. 2003. Genetic basis of mycoparasitism: A mechanism of biological control by species of Trichoderma. J. Crop. Hortic. Sci., 31: 281-291. https://doi.org/10.1080/01140671.2003.9514263

Thakur, R., S.D. Sawakar, U.K. Vaishya and S. Muneshwar. 2011. Impact of continuous use of inorganic fertilizers and organic manure on soil properties and productivity under soybean-wheat intensive cropping of Vertisol. J. Indian Soc. Soil Sci. 59(1): 74-81

Vinale,F., K. Sivasithamparam, L.E. Ghisalberti, R. Marra, L.S. Woo and M. Lorito. 2008. Trichoderma plant pathogen interactions. Soil. Biol. Biochem. 40: 1-10. https://doi.org/10.1016/j.soilbio.2007.07.002

Waghmare, Y.M., N.K. Kalegore, S.G. Jadhav, P.K. Waghmare and M.M. Desai. 2014. Effect of integrated nutrient management on yield attributes, yield and quality of soybean (Glycine max L.). Proceedings of Soycon-2014. Int. Soybean Res. Conf. 22-24 Feb, 2014 Mitigating Prod. Constraints Soybean Sustainable Agric. pp. 167.

Yaqub, F. and S. Shahzad. 2008. Effect of seed pelleting with Trichoderma spp., and Gliocladiumvirenson growth and colonization of roots of sunflower and mugbean by Sclerotiumrolfsii. Pak. J. Bot., 40: 947-963.

Yedidia, I., M. Shoresh, Z. Kerem, N. Benhamou, Y. Kapulnik and I. Chet. 2003. Concomitant induction of systemic resistance to Pseudomonas syringaepv. lachrymans in cucumber by Trichoderma asperellum(T-203) and accumulation of phytoalexins. Appl. Environ. Microbiol. 69: 7343-7353. https://doi.org/10.1128/AEM.69.12.7343-7353.2003

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