Primary stage
Plant biomass is valuable feedstock used in wide range of businesses, most notably food and feed production, but also the chemical, pharmaceutical and power industries. As a result, several reports have been produced by various government and corporate organizations to investigate its global availability. India has the distinction of having the most cotton cultivation land, accounting for about 37% of world’s cotton cultivation land between 12.5 million and 12.6 million hectares. According to the cotton corporation of India Ltd. current yield of cotton is 466 Kg ha
-1. Table 1 compares cotton cultivation, production and consumption in India to the rest of the globe. This demonstrates India’s enormous excess biomass potential from cotton.
At global level, India has the largest area under pigeon pea cultivation of 53.38 lakh hectares (64%) and produces the highest volume of pigeon pea of 48.73 lakh tonnes (57%). However, India has a comparatively lower crop yield of 913 kg per hectare as given in Table 2. From the data in Table 2 it can be concluded that India has huge potential to cultivate pigeon pea (Tur) crop. Similarly, Maharashtra has greatest proportion of Tur crop growth in India and its agricultural waste output is also huge according to
TIFAC Report 2009.
Soybean plays a significant role in the world’s oilseed agriculture scenario because of its high productivity, profitability and critical contribution to soil fertility (
Ghosh 2016). United States, Brazil and Argentina are the top three soybean-producing countries. The pool of edible oils in India is greatly augmented by soybeans. Currently, soybean accounts for 43% of all oilseed output and 25% of all oil production in the nation. India now holds the fifth place in the world for soybean output as shown in Table 3.
Secondary stage
A study from the Maharashtra Energy Development Agency states that India generates 22 Mt of cotton stalk and 4 Mt of tur stalk per year. This biomass waste is either burned or utilized as feed for animals. Farmers in the Vidarbha area of Maharashtra mostly cultivate the crops cotton, tur and soybeans; consequently, a data gathering survey was conducted by interviewing farmers about residue generated from their crops to learn more about biomass availability. The majority of 130 to 150 persons that were interviewed by visiting their houses were from Yavatmal, Akola and Nagpur districts. Information about crop residues generated from different varieties of tur, cotton and soybean crop and their current usage was gathered. Cotton waste in the Vidarbha region is an unidentified source of biomass energy since it is abundant and has the potential to create bioenergy. Farmers in Vidarbha region primarily burn cotton and tur residue. Also, many farmers are presently using soybean waste to feed cattle, with leftovers being burnt on the farm. Because large portion of agricultural residue listed above belongs to the Vidarbha region, it has been considered for survey and investigation.
From oral survey, it was found that proper use of crop residue has numerous benefits for farmers. However, the improper storage or use of crop residue can lead to drawbacks like breeding of insects and odour. Burning of crop residue in fields results in loss of organic fertilizers, soil erosion and reduction of soil fertility. Additionally, storing crop residue in houses and animal shelters can lead to fear of fire breakouts and it can become a breeding ground for pests and vermin, notably rats, mosquitoes and snakes leading to decrease of its efficacy as animal fodder or fuel. Moreover, when used as fuel in domestic cooking stoves, it can cause air pollution, leading to environmental and health concerns. All of these situations can become costly for farmers and lead to lack of crop production. Therefore, proper management of this biomass is required. The oral survey results of crop residue data are given in following Table 4.
Tertiary stage
In this stage Among these different varieties of tur, soybean and cotton crop four varieties of each crop has been selected by considering the surplus biomass production and frequency of varieties that have taken by the farmers. Three local farms in Yavatmal district have been selected for the experimentation. Yavatmal is also popularly known as cotton city. Four varieties of each crop were sown on each farm. Each variety was sown in 1000 square feet thrice on every farm. Factors affecting crop growth such as rainfall, temperature, soil parameters and fertilizers used were studied. Rainfall and temperature data for that region is shown in Table 5. Life cycle study of these crops was carried out for two cropping seasons in the years 2021 and 2022 to get complete information about the factors affecting production of biomass. Four varieties yielding maximum amount of biomass has taken for the study.
Soil properties and constituents largely affect crop production; therefore, soil testing was carried out using government guideline. The soil in the selected farms is mostly Alluvial and clayey. The data from Table 6 shows that soil contains low available phosphorus, low organic curb percentage and insignificant available nitrogen. As a result, fertilizers containing all three primary plant nutrients, namely nitrogen, phosphorus and potassium, are applied to the soil.
In June 2021 and 2022,
i.e., during the
kharif seasons, four different varieties of cotton, tur and soybean were seeded. Tur and cotton were harvested in January of the next year, while soybean crop was harvested in October of the same year. To estimate the biomass produced from each crop variety, the quantity of crop residue generated per square meter was reported from three farms for each variety. Fig 1, Fig 2 and Fig 3 shows the average crop production and residue generated on selected field. The residue to product ratio were also calculated which gives the value of unused crop residue remained after harvesting
(Daioglou et al., 2016). The residue to product ratios obtained for cotton crop varities Ankur-3028, RCH-659, RCH-779 and Ajeet-155 were 1.2, 1.1, 1.1 and 1.05 respectively. While the residue to product ratios obtained for soybean crop varities JS-335, Eagle, Ankur and Karishma were 2.4, 1.9, 2.7 and 2.5 respectively and the residue to product ratios obtained for tur crop varities Daftari, Maruti IPC-8863, Ankur-Charu and BSMR-736 were 3.6, 3.7, 3.8 and 3.6 respectively.
Regression analysis of data
Regression analysis allows us to make predictions by determining the kind and strength of the relationship between two or more variables
(Jhajharia et al., 2023). Therefore, correlation analysis was performed between crop production and crop residue generated assuming a linear regression model as shown in Fig 4, Fig 5 and Fig 6. We can predict the surplus biomass waste produced by agricultural activities by establishing the link between crop yield and residue formed since crop production data for all areas is readily available. For each farm values of crop residue generated were compared with values of crop yield considering crop production as an independent variable and crop residue as a dependent variable. To analyze the performance of each relationship, the coefficients of determination R
2 were computed, along with the corresponding p-value to indicate its significance.
Regression analysis has indicated that crop production is a significant predictor of crop residue in cotton, soybean and tur crops (β=0.947, β=0.912, β=0.939, respectively). Coefficients of determination from Table 7 (r²=0.897, r²=0.8276, r²=0.88, respectively) showed that variation of crop production can explain 89%, 83% and 88% variation in crop residue of each cotton, soybean and tur crop, respectively. The linear regression models are adequately fit since F=296, F=167 and F=252 for cotton, soybean and tur crop, respectively and all p values are <0.001. This shows that crop production is a reliable predictor for crop residue, with a high degree of accuracy.