Preference of Goat Farmers to Agricultural Extension as a Source of Information and Knowledge in Banjarnegara Regency

Mochamad Sugiarto(1*), Yusmi Nur Wakhidati(2), Dyah Gandasari(3)

(1) Faculty of Animal Science, University of Jenderal Soedirman
(*) Corresponding Author


Increasing knowledge of farming is essential in increasing goat production in the rural areas of Banjarnegara Regency. Increased knowledge come from many sources, such as extension and non-extension services (other farmers, books, and other government officials). Systematic efforts continue to increase agricultural extension workers' role in providing information and knowledge to goat farmers. This study aims to identify farmers' preference for the agricultural extension as a source of knowledge and analyze the factors that influence the selection of sources of information and knowledge. One hundred sixty goat farmers in Banjarnegara Regency were selected as respondents using a multistage sampling method. The data collected were analyzed using descriptive statistics and logistic regression. The analysis results showed that most of the goat farmers in Banjarnegara Regency (74.37 percent) preferred obtaining knowledge from non-extension sources. In other words, only a small proportion of goat farmers (25.63 percent) prefer to get information and knowledge from agricultural extension workers. Based on the logistic regression analysis, it was found that goat farmers' education and age of farmers were essential factors (P<0.05) in making decisions related to source in obtaining knowledge on raising goats from the agricultural extension or non-agricultural extension workers. Goat farmers in Banjarnegara Regency who have lower education prefer to get information related to goat farming from non-agricultural extension workers. Meanwhile, younger goat farmers tend to get information from non-agricultural extension workers. Therefore, agricultural extension workers have a more strategic role for goat farmers who have higher education and are more mature with adequate goat farming knowledge.


Farmers' age, Farmers' education, Source of knowledge

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Adams, F. and K. Ohene-Yankyera. 2014. Determinants of factors that influence small ruminant livestock production decisions in northern Ghana: application of discrete regression model. J. Biology, Agriculture and Healthcare 4: 310–321.

Ahmad, M., M. Akram, R. Rauf, I. A. Khan, and U. Pervez. 2007. Interaction of extension worker with farmers and role of radio and television as sources of information in technology transfer : a case study of four villages of district Peshawar and Charsadda. Sarhad J. Agric. 23: 515–518.

Ali, J. 2012. Factors affecting the adoption of information and communication technologies (ICTs) for farming decisions. Journal of Agricultural and Food Information 13: 78–96. DOI: 10.1080/10496505.2012.636980.

Andarwati, S., T. Haryadi, B. Guntoro, E. Sulastri, R. A. R. S. Putra, and Gunawan. 2018. Relationship Between Farmer’s Characteristics with the Motivation of Goat Milking in the Girikerto Village Turi District Sleman Regency. Buletin Peternakan 42: 256–261. doi: 10.21059/buletinpeternak. v42i3.32771

Biswas, B., B. Mallick, A. Roy, and Z. Sultana. 2021. Impact of agriculture extension services on technical efficiency of rural paddy farmers in southwest Bangladesh. Environmental Challenges. Elsevier 5: 1-10. DOI: 10.1016/j.envc.2021.100261.

BPS Kab Banjarnegara. 2020. Kabupaten Banjarnegara dalam Angka Tahun 2020. BPS Kabupaten Banjarnegara.

Brislen, L., K. Tanaka, and K. Jacobsen. 2016. Preferred knowledge sources for beginning farmers: The case of Kentucky. Journal of Extension 54: 1-8.

Bursten, J. R. S. and C. Kendig. 2021. Growing knowledge: Epistemic objects in agricultural extension work. Studies in History and Philosophy of Science. Elsevier 88: 85–91. DOI: 10.1016/j.shpsa. 2021.03.002.

Byaruhanga, C., J. Oluka, and S. Olinga. 2015. Socio-economic Aspects of Goat Production in a Rural Agro-pastoral System of Uganda. Universal Journal of Agricultural Research. 3: 203–210. DOI: 10.13189/ujar.2015.030604.

Caffaro, F., M. M. Cremasco, M. Roccato, and E. Cavallo. 2020. Drivers of farmers’ intention to adopt technological innovations in Italy: The role of information sources, perceived usefulness, and perceived ease of use. Journal of Rural Studies. Elsevier 76: 264–271. DOI: 10.1016/j.jrurstud.2020.04.028.

Daramola, J. O., M. O. Abioja, O. S. Iyasere, O. E. Oke, B. C. Majekodunmi, M. O. Logunleko, E. O. Adekunle, E. U. Nwosu, O. F. Smith, I. J. James, T. J. Williams, and J. A. Abiona. 2021. The resilience of Dwarf goats to environmental stress : A review. Small Rumin. Res. 205: 1–8.

Floriańczyk, Z., K. Janc, and K. Czapiewski. 2012 The importance and diffusion of knowledge in the agricultural sector: The Polish experiences. Geographia Polonica 85: 45–56. DOI: 10.7163/GPOL.2012.1.4.

Gandasari, D., S. Suwardi, R. R. S. Wihansah, Wardani, and O. A. Taopik. 2020. Analysis of agribusiness communication network among beef cattle farmers: Case study at sarimulya Mandiri as the beginner's farmers group. Int. J. Adv. Sci. Tech. 29: 5339–5347.

Gebru, B., M. Yared, and N. Gebremichael. 2017. Sources of information and information-seeking behavior of smallholder farmers of Tania Abergelle Wereda, central zone of Tigray, Ethiopia. J. Agricultural Extension Rural Development 9: 47–52. DOI: 10.5897/jaerd2016.0850.

Hair, J. F., W. C. Black, B. J. Babin, and R. E. Anderson. 2010. Multivariate Data Analysis (7th edn). Prentice-Hall, New Jersey, USA.

Kmieciak, R. 2021. Trust, knowledge sharing, and innovative work behavior : empirical evidence from Poland. European Journal of Innovation Management 24: 1832–1859. DOI: 10.1108/EJIM-04-2020-0134.

Kumar, R., M. C. Sharma, M. L. Gurjar, and R. Kumar. 2019. Socio-economic characteristic of tribal goat keepers of Dungarpur district of Rajasthan state. J. Entomology Zoology Studies 7: 1101–1104.

Maina, C. M., H. T. Nyang’anga, J. I. Mburu, J. M. Kasina, M. M. Guantai, J. H. Nderitu, and V. N. Gathaara. 2021. Determinants influencing farmers’ use of macadamia nut information sources in central Kenya. J. Agric. Food Res. 5: 1-6. doi: 10.1016/j.jafr.2021.100184.

Manirakiza, J., N. Moula, J. Detilleux, G. Hatungumukama, and N. Antoine-Moussiaux. 2021. Socioeconomic assessment of the relevance of a community-based goat breeding project in smallholding systems. Animal Elsevier 15: 1-10. DOI: 10.1016/j.animal. 2020.100042.

Maulu, S., O. J. Hasimuna, B. Mutale, J. Mphande, and E. Siankwilimba. 2021. Enhancing the role of rural agricultural extension programs in poverty alleviation : A review. Cogent Food and Agriculture. Cogent 7: 1-13. DOI: 10.1080/23311932. 2021.1886663.

Özçatalbaş, O., M. Imran, G. Gurkan, H. Durmus, and T. Unlu. 2017. The role of agricultural extension and agricultural education for sustainability. Proceedings of the 23rd European Seminar on Extension and Education. (July), pp. 1–4.

Paas, W., C. S. Martin, B. Soriano, M. K. Van Ittersum, M. P. Meuwissen, and P. Reidsma. 2021. Assessing future sustainability and resilience of farming systems with a participatory method: A case study on extensive sheep farming in Huesca, Spain. Ecological Indicators 132: 1-18. DOI: 10.1016/j.ecolind.2021.108236.

Paltasingh, K. R. and P. Goyari. 2018. Impact of farmer education on-farm productivity under varying technologies: case of paddy growers in India. Agricultural and Food Economics 6: 1–29. DOI: 10.1186/s40100-018-0101-9.

Raimi, E. and H. Kabiti. 2019. A Review of The Role of Agricultural Extension and Training in Achieving Sustainable Food Security: A Case of South Africa. S. Afr. J. Agric. Ext. 47: 120–130.

dos Santos Souza, M. F., L. C. G. Passetti, T. S. Gonçalves, R. A. C. Passetti, and G. R. de Arruda Santos. 2019. Characterisation of goat product consumers and goat farming systems in the Brazilian Northeast region. Small Ruminant Research 179: 7–13. DOI: 10.1016/j.smallrumres.2019.08.017.

Sheng Tey, Y., M. Brindal, E. Li, G. Gill, J. Bruwer, A. M. Abdullah, A. Radam, M. M. Ismail, and S. Darham. 2018. Factors affecting the selection of information sources of sustainable agricultural practices by Malaysian vegetable farmers. J. Agricultural Food Information. Taylor Francis 19: 162–175. DOI: 10.1080/10496505.2017.1328310.

Thomas, E., M. Riley, and J. Spees. 2020. Knowledge flows: Farmers’ social relations and knowledge sharing practices in “Catchment Sensitive Farming”. Land Use Policy 90: 1-9. DOI: 10.1016/j.landusepol. 2019.104254.

Toffolini, Q., M. Jeuffroy, P. Mischler, J. Pernel, and L. Prost. 2017. Farmers’ use of fundamental knowledge to re-design their cropping systems: situated contextualisation processes. J. Life Sci. 80: 37–47. DOI: 10.1016/j.njas.2016.11.004.

Velandia, M., D. M. Lambert, A. Jenkins, R. K. Roberts, J. A. Larson, B. C. English, and S. Martin. 2009. Factors Influencing Selection of Information Sources by Cotton Producers Considering Adoption of Precision Agriculture Technologies Presented at Agricultural & Applied Economics Association Conference, Milwaukee, Wisconsin, pp. 26–29.

Visser, C. 2019. A review on goats in southern Africa: An untapped genetic resource. Small Ruminant Research. Elsevier 176: 11–16. DOI: 10.1016/j.smallrumres. 2019.05.009.

Wulandari, R. 2015. Information needs and source information of agricultural extension workers in DIY. J. Agribusiness Rural Development Research 1: 85–87. DOI: 10.18196/agr.1212.


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