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Plant Science Today (PST)

Research Articles

Vol. 12 No. sp1 (2025): Recent Advances in Agriculture by Young Minds - II

Determinants of the adoption of biological control agents in Andhra Pradesh

DOI
https://doi.org/10.14719/pst.6106
Submitted
24 October 2024
Published
27-01-2025

Abstract

This study, conducted in the Kurnool district of Andhra Pradesh, India, in 2024, explored the factors influencing farmers' adoption of biological control agents (BCAs). Kurnool, an agriculturally significant region, was divided into four clusters: Kallur, Pathikonda, Kodumur and Panyam. A total of 120 farmers were selected using a convenience sampling method, chosen due to logistical constraints and the exploratory nature of the research. Data were gathered through semi-structured household interviews and supplemented by key informant discussions to provide additional context. The study examined adoption of BCAs as the dependent variable, with independent variables including age, gender, education, primary occupation, farming experience, farm income, farm size, training and membership in agricultural organizations. Analysis using a forward stepwise logistic regression model identified farm size, annual income and training as significant positive factors influencing awareness and adoption of BCAs. Results showed that 25 % of the sampled farmers were using BCAs. Key barriers to adoption included a lack of knowledge, reliance on chemical fertilizers due to entrenched agricultural practices, high costs and limited access to credit. To address these challenges, the study recommends implementing targeted education programs, enhancing access to affordable credit and fostering cooperative networks and public-private partnerships to strengthen collaboration between farmers and agricultural organizations. The findings emphasize the need for comprehensive policy measures to support sustainable agricultural practices through the promotion of BCAs.

References

  1. Bommarco R, Kleijn D, Potts SG. Ecological intensification: Harnessing ecosystem services for food security. Trends Ecol Evol. 2013;28(4):230-238. https://doi.org/10.1016/j.tree.2012.10.012
  2. Fagerholm N, Torralba M, Burgess PJ, Plieninger T. A systematic map of ecosystem services assessments around European agroforestry. Ecol Indic. 2016; 62:47-65. https://doi.org/10.1016/j.ecolind.2015.11.016
  3. Cock MJ, van Lenteren JC, Brodeur J, Barratt BI, Bigler F, Bolckmans K, et al. Do new access and benefit-sharing procedures under the Convention on Biological Diversity threaten the future of biological control? BioControl. 2010; 55:199-218. https://doi.org/10.1007/s10526-009-9234-9
  4. van Lenteren JC, Bolckmans K, Köhl J, Ravensberg WJ, Urbaneja A. Biological control using invertebrates and microorganisms: Plenty of new opportunities. BioControl. 2018; 63:39-59. https://doi.org/10.1007/s10526-017-9801-4
  5. Naranjo SE, Ellsworth PC, Frisvold GB. Economic value of biological control in integrated pest management of managed plant systems. Annu Rev Entomol. 2015;60(1):621-645. https://doi.org/10.1146/annurev-ento-010814-021005
  6. Sarwar M. The dangers of pesticides associated with public health and preventing of the risks. Int J Bioinform Biomed Eng. 2015;1(2):130-136. https://doi.org/10.11648/j.ijbbe.20150102.15
  7. Hajek AE, Eilenberg J. Natural enemies: An introduction to biological control. 2nd ed. Cambridge (UK): Cambridge University Press; 2018. https://doi.org/10.1017/9781107280267
  8. Rusch A, Chaplin-Kramer R, Gardiner MM, Hawro V, Holland J, Landis D, et al. Agricultural landscape simplification reduces natural pest control: A quantitative synthesis. Agric Ecosyst Environ. 2016; 221:198-204. https://doi.org/10.1016/j.agee.2016.01.039
  9. Rawluk A, Saunders ME. Facing the gap: Exploring research on local knowledge of insect-provided services in agroecosystems. Int J Agric Sustain. 2019;17(1):108-117. https://doi.org/10.1080/14735903.2019.1567244
  10. Abdollahzadeh G, Sharifzadeh MS, Damalas CA. Motivations for adopting biological control among Iranian rice farmers. Crop Prot. 2016; 80:42-50. https://doi.org/10.1016/j.cropro.2015.11.003
  11. Silva K, Broekel T. Factors constraining farmers’ adoption of new agricultural technology programme in Hambantota district in Sri Lanka: Perceptions of agriculture extension officers. In: 13th International Conference on Business Management (ICBM); 2016 Dec 8; University of Sri Jayewardenepura, Sri Lanka. https://doi.org/10.2139/ssrn.2910350
  12. Rogers EM, Singhal A, Quinlan MM. Diffusion of innovations. In: An integrated approach to communication theory and research. Routledge; 2014. p. 432-448. https://doi.org/10.4324/9780203710753-35
  13. Ilahi H, Hidayat K, Adnan M, Rehman FU, Tahir R, Saeed MS, Shah SW, Toor MD. Accentuating the impact of inorganic and organic fertilizers on agriculture crop production: A review. Ind J Pure App Biosci. 2020;9(1):36-45. https://doi.org/10.18782/2582-2845.8546
  14. Sapbamrer R, Thammachai A. A systematic review of factors influencing farmers’ adoption of organic farming. Sustainability. 2021;13(7):3842. https://doi.org/10.3390/su13073842
  15. Kumar R, Kumar S, Yashavanth BS, Venu N, Meena PC, Dhandapani A, et al. Natural farming practices for chemical-free agriculture: Implications for crop yield and profitability. Agriculture (Basel). 2023;13(3):647. https://doi.org/10.3390/agriculture13030647
  16. Chen Z, Li X, Xia X. Socioeconomic status, ambidextrous learning, and farmers’ adoption of biological control technology: Evidence from 650 kiwifruit growers in China. Pest Manag Sci. 2022;78(2):475-487. https://doi.org/10.1002/ps.6651
  17. Radjabi R. Social factors critical for adoption of biological control agents Trichogramma spp. egg parasitoid of rice stem borer Chilo suppressalis in North of Iran. Am Eurasian J Agric Environ Sci. 2010;7(4):400-4. https://doi.org/10.3923/aejaes.2010.400.404
  18. Babu L, Naveena N, Chitra M, Karthik S. Socio-economic status and communicational characteristics of farmers using bio-control agents. J Pharmacogn Phytochem. 2017;6(6):1587-91. https://doi.org/10.13140/RG.2.2.12579.14886.
  19. Allahyari MS. Factors influencing the adoption of biological control of rice stem borer (Chilo suppressalis) in Talesh Region, Iran. J Agric Sci Technol. 2010;12(4):423-32. https://jast.modares.ac.ir/article-23-37267-en.pdf
  20. Tracy EF. The promise of biological control for sustainable agriculture: A stakeholder-based analysis. J Sci Policy Gov. 2014;5(1):1-14.
  21. Canacan DRJ, Tomalampud DS, Cubian MS, Dumaraos JC, Tumamao ZM. Adoption of integrated pest management (IPM) technologies in Southern Philippines: Factors and constraints. Int J Agric Technol. 2022;18(1):143-56.
  22. Borkhani FR, Nejad MG, Mousavi SF. Social factors influencing adoption of integrated pest management (IPM) technologies by paddy farmers. Int J Agric Manag Dev. 2013;3(3):211-8. https://ageconsearch.umn.edu/record/163368
  23. Abraha T, Tsegaye E, Woldu B, Demissie Z. Controlling crop pests with a farming awareness-based integrated approach and optimal control. arXiv preprint. 2021; arXiv:2109.08534. https://doi.org/10.48550/arXiv.2109.08534
  24. Waris A. Gender gap and female workforce participation in agriculture in Andhra Pradesh, India. Afr J Agric Res. 2016;11(48):4876-4881. https://doi.org/10.5897/AJAR2016.11742
  25. Ashrit R, Thakur MK. Is awareness a defining factor in the adoption of sustainable agricultural practices? Evidence from rural India. Agric Econ Res Rev. 2021;34(2):183-198. https://link.springer.com/article/10.1007/s43545-021-00222-6
  26. Dhakal C, Escalante CL. The productivity effects of adopting improved organic manure practices in Nepal. Front Environ Sci. 2022;10: Article 912860. https://doi.org/10.3389/fenvs.2022.912860
  27. Singh KM, Meena MS, Kumar A, Singh RK. An overview of gender issues in agriculture. SSRN Electronic Journal. 2013. https://doi.org/10.2139/ssrn.2237993
  28. Mondal S, Singh RP. Gender, social, household, and ecological factors influencing wheat trait preferences among the women and men farmers in India. Front Sustain Food Syst. 2024; 8:1284817. https://doi.org/10.3389/fsufs.2024.1284817
  29. Pal S, Haldar S. Participation and role of rural women in decision making related to farm activities: A study in Burdwan district of West Bengal. Economic Affairs. 2016;61(1):55-63. https://doi.org/10.5958/0976-4666.2016.00008.5
  30. Singh KM, Kumari P, Ahmad N, Shekhar D. Role of women in agriculture: technology-led, gender sensitive policy options. SSRN Electronic Journal. 2020. https://doi.org/10.2139/ssrn.3517148
  31. Raji E, Ijomah TI, Eyieyien OG. Data-Driven decision making in agriculture and business: The role of advanced analytics. Comput Sci IT Res J. 2024;5(7):1565-1575. https://doi.org/10.51594/csitrj.v5i7.1275
  32. Abdollahzadeh G, Damalas CA, Sharifzadeh M. Understanding adoption, non-adoption, and discontinuance of biological control in rice fields of northern Iran. Crop Protection. 2017; 93:60-68. https://doi.org/10.1016/j.cropro.2016.11.014
  33. Grogan KA, Goodhue RE. Citrus growers vary in their adoption of biological control. Calif Agric. 2012;66(1):29-35. https://doi.org/10.3733/ca.E.v066n01p29
  34. Tiwari AK. Advances in biological control strategies for sustainable pest management. UP J Zool. 2024;45(3):3894. https://doi.org/10.56557/upjoz/2024/v45i33894
  35. Gordon MB, Laguna MF, Gonçalves S, Iglesias J. Adoption of innovations with contrarian agents and repentance. Phys A Stat Mech Its Appl. 2017; 486:368-380. https://doi.org/10.1016/j.physa.2017.05.066
  36. Chen H, Ma T. Optimizing systematic technology adoption with heterogeneous agents. Eur J Oper Res. 2017;259(3):988-1000. https://doi.org/10.1016/j.ejor.2016.07.007
  37. Tesar M. Modeling adoption of intelligent agents in medical imaging. Int J Hum Comput Stud. 2022; 163:102922. https://doi.org/10.1016/j.ijhcs.2022.102922
  38. Lin L, Ming SY. Study on the influencing factors of farmers' purchase behavior of organic fertilizers based on logistic model. Curr J Appl Sci Technol. 2020;39(39):29-43.
  39. Krishnamurthy S, Joseph S, Pradhan V, Rao P. Empowering women of rural India for renewable energy adoption – An exploratory factor analysis. Indian J Sci Technol. 2017;10(38):1-12. https://doi.org/10.17485/IJST/2017/V10I38/95576
  40. Fernandes KJ, Raja V, White A, Tsinopoulos C. Adoption of virtual reality within construction processes: A factor analysis. https://doi.org/10.1016/j.technovation.2004.07.013
  41. Mahad M, Mohtar S, Yusoff RZ, Othman AA. Factors affecting mobile adoption companies in Malaysia. Int J Econ Financ Issues. 2015;5(3):530 https://www.econjournals.com/index.php/ijefi/article/view/1234
  42. Goode S, Kartas A. Exploring software piracy as a factor of video game console adoption. Behav Inf Technol. 2012;31(6):587-96. https://doi.org/10.1080/0144929X.2010.501154
  43. Feder G, Just RE, Zilberman D. Adoption of agricultural innovations in developing countries: A survey. Econ Dev Cult Change. 1985;33(2):255-98. https://doi.org/10.1086/451461
  44. Kallas Z, Serra T, Gil JM. Farmers' objectives as determinants of organic farming adoption: The case of Catalonia. Agric Econ. 2010;41(5):409-23. https://doi.org/10.1111/j.1574-0862.2010.00454.x
  45. Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179-211. https://doi.org/10.1016/0749-5978(91)90020-T
  46. Baker BP, Green T, Loker AJ. Biological control and integrated pest management in organic and conventional systems. Biological Control. 2020;104095.
  47. Wyckhuys KAG, Gu B, Ben Fekih I, Finger R, Kenis M, Lu Y, et al. Restoring functional integrity of the global production ecosystem through biological control. J Environ Manag. 2024;122446. https://doi.org/10.1016/j.jenvman.2024.122446
  48. Marrone PG. Barriers to adoption of biological control agents and biological pesticides. CAB Rev Perspect Agric Vet Sci Nutr Nat Resour. 2007;14. https://doi.org/10.1017/CBO9780511626463.014

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