Drivers of IPM Adoption among Hybrid Tomato Farmers in Karnataka: Insights through mlogit Model


380 / 149

Authors

  • Sudhanand Prasad Lal Dr Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar-848125 (Ministry of Agriculture & Farmers' Welfare, Government of India) https://orcid.org/0000-0002-6288-5276
  • K. N..Sunil Kumar Mahyco Seeds Private Limited, Mysore, Karnataka-563136, India.
  • Gyan Shukla Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh-221005, India. https://orcid.org/0009-0005-4847-2730

https://doi.org/10.48165/IJEE.2025.61109

Keywords:

Adoption, Integrated Pest Management, Multinominal Logistic Regression, Sustainable Agriculture and Tomato growers.

Abstract

The investigation was undertaken during 2020 to study the adoption level of IPM practices and the factors influencing adoption among hybrid tomato growers in Karnataka as such studies are scanty in India despite 60% market share of hybrid tomato. Primary data were collected using a structured interview schedule by personally interviewing 120 respondents. Findings revealed that cultural practices like crop rotation, exhibited higher adoption rates, while biological methods were relatively less adopted. Overall, IPM adoption remained limited, with only a small proportion of growers fully embracing these practices. Multinomial logistic regression (MLR) had Nagelkerke’s R-square or Pseudo R2 value of 0.609, indicating 60.90% of total variations in the adoption level of IPM practices, explained by selected explanatory variables. Further, MLR identified factors significantly influencing the adoption of IPM were age (p=0.021), education (p=0.022), social contact (p=0.013), and cosmopoliteness (p=0.29) (odds ratio [OR], 6.707; 95% CI of OR 1.211 to 37.158) found significant at 5% level (p<0.05); while social participation (p=0.076) was found significant at 10% level (p<0.10). Targeted interventions and training programmes are needed to promote sustainable practices, particularly among hybrid tomato growers, addressing barriers and enhancing the adoption of IPM practices.

Author Biographies

  • Sudhanand Prasad Lal, Dr Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar-848125 (Ministry of Agriculture & Farmers' Welfare, Government of India)
    Assistant Professor cum Scientist, Agricultural Extension Education
    Post-Graduate Department of Extension Education

  • K. N..Sunil Kumar , Mahyco Seeds Private Limited, Mysore, Karnataka-563136, India.

    Territory Busines Manager, Mahyco Seeds Private Limited, Mysore, Karnataka-563136, India.

  • Gyan Shukla, Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh-221005, India.

    PhD Scholar, Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh-221005, India. Email: shukla.gyan@bhu.ac.in

References

Bayaga, A. (2010). Multinomial Logistic Regression: Usage and Application in Risk Analysis. Journal of Applied Quantitative Methods, 5(2). https://jaqm.ro/issues/volume-5,issue-2/pdfs/bayaga.pdf

Chattopadhyay, S. N., & Pareek, U. (1967). Prediction of multi-practice adoption behavior from some psychological variables. Rural Sociology, 32(3), 324–333. https://www.proquest.com/openview/40ec5793508b83ab86fa9f7fa9d676e4/1?cbl=1817355&pq-origsite=gscholar

Depenbusch, L., Sequeros, T., Schreinemachers, P., Sharif, M., Mannamparambath, K., Uddin, N., & Hanson, P. (2023). Tomato pests and diseases in Bangladesh and India: farmers’ management and potential economic gains from insect resistant varieties and integrated pest management. International Journal of Pest Management, 1-15. https://www.tandfonline.com/doi/full/10.1080/09670874.2023.2252760

FAO. (2020). FAOSTAT Database on Production. Rome, Italy, http://www.fao.org/faostat/.

FAO. (2022). Pesticides Use, Pesticides Trade and Pesticides Indicators—Global, Regional and Country Trends, 1990–2020. FAOSTAT Analytical Briefs, no. 46. https://www.fao.org/3/cc0918en/cc0918en.pdf

Kariathi, V., Kassim, N., & Kimanya, M. (2016). Pesticide exposure from fresh tomatoes and its relationship with pesticide application practices in Meru district. Cogent Food & Agriculture, 2(1), 1196808. https://www.tandfonline.com/doi/full/10.1080/23311932.2016.1196808

Kogan, M., Turnipseed, S. G., Shepard, M., De Oliveira, E. B., & Borgo, A. (1977). Pilot insect pest management program for soybean in southern Brazil. Journal of Economic Entomology, 70(5), 659-663.

Kumari, S., Singh, A.K. & Lal, S. P. (2022). Rice varietal preference of farmers in rice bowl region of Bihar: A polychotomous logistic regression analysis. Indian Journal of Extension Education, 58(1), 48-53. http://www.isee.org.in/uploadpaper/58,January%20-%20March,09.pdf

Lal, S.P. (2017). Critical appraisal of farmers' mental health Vis-à-vis agricultural sustainability in green Revolution belt of India, PhD (Ag), Thesis, NDRI, Karnal. https://books.google.co.in/books/about/Critical_Appraisal_of_Farmers_Mental_Hea.html?id=fZUaxQEACAAJ&redir_esc=y

Mancini, F., Van Bruggen, A. H., Jiggins, J. L., Ambatipudi, A. C., & Murphy, H. (2005). Acute pesticide poisoning among female and male cotton growers in India. International journal of occupational and environmental health, 11(3), 221-232. https://www.tandfonline.com/doi/abs/10.1179/107735205800246064

Narayanaswamy, B., George, S., Hegde, M. R., &Doijode, S. D. (2013). Communication for enhancing adoption of IPM technologies among tomato farmers. Interaction, 31(2), 75-78. https://www.indianjournals.com/ijor.aspx?target=ijor:jcs1&volume=31&issue=2&article=015&type=pdf

NIFA, (2023). Researchers helping protect crops from pests. national institute of food and agriculture, USDA. https://www.nifa.usda.gov/about-nifa/blogs/researchers-helping-protect-crops-pests#:~:text=Between%2020%25%20to%2040%25%20of,is%20lost%20to%20pests%20annually.

Kumar Pavana, S. T. & Lahiri, B. (2023). Conditional selection of multifactor evidence for the levels of anaemia among women of reproductive age group. Evaluation and Program Planning, 100:102344. DOI: https://doi.org/10.1016/j.evalprogplan.2023.102344

Petrucci, C. J. (2009). A primer for social worker researchers on how to conduct a multinomial logistic regression. Journal of Social Service Research, 35(2), 193-205. https://www.tandfonline.com/doi/epdf/10.1080/01488370802678983?needAccess=true

Rao, G. V. Ranga, & Rao, V. R. (2010). Status of IPM in Indian agriculture: a need for better adoption. Indian Journal of Plant Protection, 38(2), 115-121. https://oar.icrisat.org/5008/1/IndianJournalofPlantProtection_38_2_115-121_2010.pdf

Schreinemachers, P., Simmons, E. B., &Wopereis, M. C. (2018). Tapping the economic and nutritional power of vegetables. Global Food Security, 16, 36-45. https://www.sciencedirect.com/science/article/pii/S2211912417300640

Shil, B., Lahiri, B., Pal, P., Ghosh, A., Biswas, P., & Singh, Y. J. (2022). Determinants of adoption behaviour of the fish farmers of Pabda fish culture (Ompokbimaculatus Bloch, 1794) in Tripura, Northeast India. Aquaculture International, 30(4), 2017-2041. https://doi.org/10.1007/s10499-022-00885-9

Shukla, G., Ansari, M. N., & Lal, S. P. (2024a). Assessment of agricultural information needs of farmers: Triangulating reliability of standardized information need index. Gujarat Journal of Extension Education,36(2), 26-29. https://doi.org/10.56572/gjoee.2024.37.2.0005

Shukla, G., Ansari, M. N., Lal, S. P., Bandhavya, M. & Singh, P. (2024b). Role of mobile phones in enhancing farmers' information seeking behaviour: a binary logistic regression approach. Indian Research Journal of Extension Education, 24(4), 145 –148. https://api.seea.org.in/uploads/pdf/2024-84145148.pdf `

Srivastava, D., Lal, S. P., & Shukla, G. (2024). Visualizing the shift: Word cloud analysis of Pradhan Mantri Jan Aushadhi Suvidha Sanitary napkin. Indian Journal of Extension Education, 60(3), 18-22. https://doi.org/10.48165/IJEE.2024.60304

Stehle, S., & Schulz, R. (2015). Agricultural insecticides threaten surface waters at the global scale. Proceedings of the National Academy of Sciences, 112(18), 5750-5755. https://www.pnas.org/doi/abs/10.1073/pnas.1500232112

Stern V, Smith R, van den Bosch R., & Hagen K. (1959). The integration of chemical and biological control of the spotted alfalfa aphid: The integrated control concept. Hilgardia, 29(2), 81-101. https://hilgardia.ucanr.edu/Abstract/?a=hilg.v29n02p081

The Hindu, (2017). Pests eat away 35% of total crop yield, says ICAR scientist. The Hindu, February 25, 2017. https://www.thehindu.com/news/national/pests-eat-away-35-of-total-crop-yield-says-icar-scientist/article17368426.ece

Verma, A. P., Meena, H. R., Lal, S. P., Kumar, V., Gupta, B. K., Mishra, D., Ojha, P. K., & Mishra, B. P. (2023). Perception and analysis of existing practices associated with risk of brucellosis among dairy farmers. Indian Journal of Extension Education, 59(4), 62-66. https://epubs.icar.org.in/index.php/IJEE/article/view/13857477-183

Downloads

Submitted

11.12.2024

Published

01.01.2025

How to Cite

Lal, S. P., K. N..Sunil Kumar, & Gyan Shukla. (2025). Drivers of IPM Adoption among Hybrid Tomato Farmers in Karnataka: Insights through mlogit Model. Indian Journal of Extension Education, 61(1), 48-54. https://doi.org/10.48165/IJEE.2025.61109
Citation