Adoption of Intercropping Practices by the Cotton Farmers in Mancherial District of Telangana State
International Journal of Plant & Soil Science,
World food production shortages and estimates in the supplies of the future have promptly increased the interest in the adoption of improved crop production activities and increased the food production and helps to cope with the threats of climatic variations and food security. Intercropping is a method that efficiently uses the space and time of cultivation. In this concept of cotton-based intercropping with pulses, where cotton yields are more along with additional survivable returns to the farmers from other crops. Though the concept has beneficial effects, but the adoption of intercropping in cotton by the farmers is low due to lack of clarity about the concept of intercropping. The present study mainly focused on estimating and clarifying the decision of the farmers on the adoption and non-adoption of intercropping in cotton and the benefits of the intercropping practices by the cotton farmers in developing the conceptual framework. Logistic regression model was used to present an econometric analysis of the diffusion process. The results from the present study revealed that variables like farm size, education status and exposure to extension service and capital were statistically significant at 1% level and showing a positive influence on the adoption of intercropping in cotton. Whereas age, farming experience was statistically significant at 1% level and showing the negative influence on the adoption of intercropping in cotton and yield is the other variable showing the negative influence on the intercropping. Further, in the extension systems more stress is need upon the capacity building of the farmers for optimum harnessing of the benefits of new generation technologies in cotton cultivation.
- logit model
How to Cite
NRC (National Research Committee), Sustainable agriculture and the enviro- nment in the humid tropics. National Academy Press. Washington D.C. 1993;720.
Tolera A. Effects of nitrogen, phosphorus farmyard manure and population of climbing bean in the performance of maize (Zeamays L.)/climbing bean (Phaseolus vulgaris L.) intercropping system in Alfisols of Bako. An MSc Thesis presented to the School of Graduate studies of Alemaya University. 2003;1-75.
Mazaheri D, MadaniA, OveysiM. Assessing the land equivalent ration (LER) of two corn (Zea mays L.) varieties intercropping at various nitrogen levels in Karaj, Iran. Journal of Central European Agriculture. 2006;7(2):359-364.
Gliessman SR, Agroecology: Ecological processes in sustainable agriculture. Publisher: CRC Press; 1997.
Hatfield JL, Karlen DL. Sustainable agriculture systems. Publisher CRC Press; 1993.
GebruH. A Review on the Comparative Advantages of Intercropping to Mono-Cropping System. Journal of Biology, Agriculture and Healthcare. 2015;5(9):1-13.
Oad FC, Lakho AA, Sohu GN, Samo MA, Shaikh FM, Oad NL. Economics of intercropping of onion with sugarcane. Pak.J. Biol.Sci. (Supplementary issue). 2001, 4:252-253.
DoA (Department of Agriculture, Mancherial) Report on crop booking under area consolation of Mancherial district. Department of Agriculture, Mancherial; 2020.
Engleman L. LR: Stepwise Logistic Regression BMDP Statistical software (Ed. Dixon, N.J.), Berlkeley. University of California Press. 1981;330-346.
Conteh AMH, Moiwo JP, Yan X. Using a Logistic Regression Model to Analyze Alley Farming Adoption Factors in Sierra Leone. Small-scale Forestry. 2016;15:109-125.
Adeogun OA, Ajana AM, Ayinla OA, Yarhere MT, Adeogun MO. Application of Logit Model in Adoption Decision: A Study of Hybrid Clarias in Lagos State, Nigeria. American-Eurasian J. Agric. & Environ. Sci. 2008;4(4):468-472.
Padaria RN, Baldeo Singh, Sivaramane N, Yaswant K, Naik Ravi Modi, Surya S. A logist Analysis of Bt Cotton Adoption and Assessment of farmers Training Need. Indian Res. J. Ext. Edu. 2009;9(2): 39-45.
Abstract View: 63 times
PDF Download: 25 times