Research Article
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Year 2022, Volume: 32 Issue: 4, 805 - 824, 30.12.2022
https://doi.org/10.29133/yyutbd.1132709

Abstract

References

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  • Ajala, A.S., Gana, A., 2015. Analysis of challenges facing rice processing in Nigeria. Journal of food processing 2015.
  • Akanbi, S.-U.O., Olatunji, O.S., Oladipo, O.S., Adeyemi, U.T., Akinyoade, A., 2022. Vulnerability of Rice Farmers to Climate Change in Kwara State, Nigeria. Turkish Journal of Agriculture-Food Science and Technology 10, 374–380.
  • Ali, S., Ahmad, W., Israr, M., Khan, A., Shah, S.A., 2022. Determinants of Rice Yield in Central Khyber Pakhtunkhwa, Pakistan. Sarhad Journal of Agriculture 38.
  • Anyadike, R.N.C., 2002. Climate and Vegetation‟ in Ofomata, GE K (ed), A survey of the Igbo Nation.
  • Ara, I., Lewis, M., Ostendorf, B., 2016. Spatio-temporal analysis of the impact of climate, cropping intensity and means of irrigation: an assessment on rice yield determinants in Bangladesh. Agriculture & Food Security 5, 1–11.
  • Ayadiuno, R.U., Ndulue, D.C., Mozie, A.T., 2021. Analysis of the Terrain and Soil Particles on the Plains of Du and Anambra River Basins in Uzo Uwani and Ayamelum Local Government Areas in Enugu and Anambra States, Southeastern Nigeria. International Journal of Sciences and Research 77.
  • Ayanlade, A., Radeny, M., Morton, J.F., Muchaba, T., 2018. Rainfall variability and drought characteristics in two agro-climatic zones: an assessment of climate change challenges in Africa. Science of the Total Environment 630, 728–737.
  • Balogun, O.L., Adeyonu, A.G., Ayantoye, K., 2021. Farmers’ Entrepeneurial Competencies and Technical Efficiency of Rice Farms. Review of Agricultural and Applied Economics (RAAE) 24, 12–19.
  • Basorun, J.O., 2013. Expository analysis of rice processing activities in Igbemo, rural Nigeria. American journal of social issues and humanities 3, 78–85.
  • Benard, R., Frankwell, D., Ngalapa, H., 2014. Assessment of information needs of rice farmers in Tanzania; A case study of Kilombero District, Morogoro.
  • Bennett, D., 2014. Record use of rice in recent years positive harbinger for 2014 crop. Delta Farm 71, 14.
  • Chandel, R. bahadur S., Khan, A., Li, X., Xia, X., 2022. Farm-Level Technical Efficiency and Its Determinants of Rice Production in Indo-Gangetic Plains: A Stochastic Frontier Model Approach. Sustainability 14, 2267.
  • Coker, A.A., 2015. Effect of growth enhancement agro-input support on rice output: emerging issues for the green economy in Nigeria. Agro-Science 14, 44–49.
  • Dawe, D., 2013. Geographic determinants of rice self-sufficiency in Southeast Asia. Prepared for FAO.
  • Diagne, A., Amovin-Assagba, E., Futakuchi, K., Wopereis, M.C., 2013. Estimation of cultivated area, number of farming households and yield for major rice-growing environments in Africa. Realizing Africa’s rice promise 35–45.
  • Diagne, M., Demont, M., Seck, P.A., Diaw, A., 2013. Self-sufficiency policy and irrigated rice productivity in the Senegal River Valley. Food security 5, 55–68.
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  • GATSBY, 2014. Disseminating improved Rice Varieties. Supporting West Africa Rice Development Association (WARDA) for improved NERICA rice varieties.
  • Hamed, K.H., 2011. The distribution of Kendall’s tau for testing the significance of cross-correlation in persistent data. Hydrological sciences journal 56, 841–853.
  • Hamed, K.H., 2009. Enhancing the effectiveness of prewhitening in trend analysis of hydrologic data. Journal of hydrology 368, 143–155.
  • Hamed, K.H., Rao, A.R., 1998. A modified Mann-Kendall trend test for autocorrelated data. Journal of hydrology 204, 182–196.
  • Hayat, U., Khan, K., Liaqat, S., Xiangyu, G., 2020. Determinants of Rice Productivity in District Nasirabad, Balochistan. Sarhad Journal of Agriculture 36, 567–573.
  • Hendriks, S.L., 2018. A Review of the Draft Federal Government of Nigeria’s National Agriculture Investment Plan (NAIP2).
  • Hirsch, R.M., Slack, J.R., Smith, R.A., 1982. Techniques of trend analysis for monthly water quality data. Water resources research 18, 107–121.
  • Ita, M.N., Ukpong, I.G., Ekpebu, I.D., 2013. Budgetary allocations to the agricultural sector in Nigeria: Implications on investment and productivity. Journal of Agricultural Science 5, 49.
  • Kadiri, F., Eze, C., Orebiyi, S., Nwaiwu, I., 2014. Determinants of sustainability of paddy rice production in niger delta region of Nigeria. Journal of Economics and Sustainable Development 5.
  • Kamal Jan, S.A., Khan, N., 2019. Determinants of Rice Productivity in District Lower Dir, Khyber Pukhthunkhwa, Pakistan. Sarhad Journal of Agriculture 35.
  • Kea, S., Li, H., Pich, L., 2016. Technical efficiency and its determinants of rice production in Cambodia. Economies 4, 22.
  • Kendall, M.G., 1975. Rank Correlation Methods, Charles Griffin, London (1975). Google Sch.
  • Khaliq, M.N., Ouarda, T.B., Gachon, P., Sushama, L., St-Hilaire, A., 2009. Identification of hydrological trends in the presence of serial and cross correlations: A review of selected methods and their application to annual flow regimes of Canadian rivers. Journal of Hydrology 368, 117–130.
  • Koirala, K.H., Mishra, A.K., Mohanty, S., 2014. Determinants of rice productivity and technical efficiency in the Philippines.
  • Koppen, W., 1936. Das geographische system der klimat. Handbuch der klimatologie 46.
  • Maji, A.T., Bashir, M., Odoba, A., Gbanguba, A.U., Audu, S.D., 2015. Genotype à Environment Interaction and Stability Estimate for Grain Yield of Upland Rice Genotypes in Nigeria. Rice Research: Open Access 2015.
  • Mann, H.B., 1945. Nonparametric tests against trend. Econometrica: Journal of the econometric society 245–259.
  • Mech, A., 2017. An analysis of growth trend, instability and determinants of rice production in Assam. Indian Journal of Agricultural Research 51.
  • Mogga, M., Sibiya, J., Shimelis, H., Lamo, J., Ochanda, N., 2019. Appraisal of Major Determinants of Rice Production and Farmers’ Choice of Rice Ideotypes in South Sudan: Implications For Breeding and Policy Interventions. Experimental Agriculture 55, 143–156.
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  • Nosiru, O.M.O., Rahji, M.A.Y., Ikpi, A.E., Adenegan, K.O., 2014. Scale Efficiency and Determinants of productivity of New Rice for Africa (NERICA) farmers in Kaduna state, Nigeria. Agrosearch 14, 113–128.
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  • Obisesan, O.O., 2019. Processing Techniques and Efficiency Differentials Among Rice Processors in Nigeria (PhD Thesis).
  • Odekunle, T.O., Adejuwon, S.A., 2007. Assessing changes in the rainfall regime in Nigeria between 1961 and 2004. GeoJournal 70, 145–159.
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  • Ofomata, G.E.K., 1975. Relief in Ofomata G.E.K. (ed): Nigeria in Maps. Ethiope publishing house, Benin City.
  • Ogah, E.O., Nwilene, F.E., 2017. Incidence of insect pests on rice in Nigeria: a review. Journal of Entomology 14, 58–72.
  • Ojogho, O., Alufohai, G.O., 2013. Comparative demand analysis for rice in Edo, Delta and Lagos states of Nigeria. Agro-Science 12, 1–9.
  • Ojong, F.E., Anam, B.A., 2018. Agriculture Promotion Policy 2016-2020 and Rural Development in Nigeria: Challenges and Prospects. IOSR Journal of Humanities And Social Science 23, 24–29.
  • Okeowo, T.A., 2016. Aggregate Import Demand Analysis of Rice in Nigeria 1970-2012. World Rural Observations 8.
  • Omofonmwan, S.I., Kadiri, M.A., 2007. Problems and prospects of rice production in central district of Edo State, Nigeria. Journal of Human Ecology 22, 123–128.
  • Önöz, B., Bayazit, M., 2012. Block bootstrap for Mann–Kendall trend test of serially dependent data. Hydrological Processes 26, 3552–3560.
  • Onyekwena, C., 2016. Towards rice self-sufficiency in Nigeria: Contemporary issues and challenges. A Power Point Presentation to Centre for the Study of the Economies of Africa (CSEA).
  • Onyeneke, R.U., 2017. Determinants of adoption of improved technologies in rice production in Imo State, Nigeria. African Journal of Agricultural Research 12, 888–896.
  • Osanyinlusi, O.I., Adenegan, K.O., 2016. The determinants of rice farmers’ productivity in Ekiti State, Nigeria.
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  • Saka, J.O., Lawal, B.O., 2009. Determinants of adoption and productivity of improved rice varieties in southwestern Nigeria. African Journal of Biotechnology 8.
  • Sarker, M.A.R., Alam, K., Gow, J., 2013. Assessing the determinants of rice farmers’ adaptation strategies to climate change in Bangladesh. International Journal of Climate Change Strategies and Management.
  • Shaikh, S.A., Hongbing, O., Khan, K., Ahmed, M., 2016. Determinants of Rice Productivity: An Analysis of Jaffarabad District-Balochistan (Pakistan). European Scientific Journal 12.
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Assessment of climate variability and the determinants of rice productivity in Southeastern Nigeria

Year 2022, Volume: 32 Issue: 4, 805 - 824, 30.12.2022
https://doi.org/10.29133/yyutbd.1132709

Abstract

The study assessed the variabilities in climate and key factors of rice production in southeastern Nigeria. Trend analysis and spatial interpolation expressed the spatiotemporal variabilities in the climate and rice yield. Copies of the questionnaire were used to assess four hundred and eighty farm households from 12 local government areas. Other analyses included descriptive statistics, logistic regression, and Productivity Index. The farmers’ socioeconomic characteristics show that the majority (62% of them are young males aged between 30-39 years. Over 80% of them were married while about 72% has household sizes between 5-9 persons. A greater proportion (54%) of them generate between N240,000.00 (578 USD) to N480,000.00 (1156 USD) annually. About 96 % have a farming experience above 10 years, while 50% have basic education (primary education). Logistic regression shows that sex (0.02), category of the farmer (0.00), age (0.03) (0.00), educational qualification (0.02) (0.00), membership of cooperative society (0.00), extension workers’ visit (0.03) were the statistically significant determinants of rice productivity in the area. The area experiences significant rising temperatures and declining rainfall. This trend is more obvious in Ebonyi state. Study results acknowledge the necessity of an enabling environment for rice farming through adequate rural infrastructure, improved rice varieties, access to information, and improved government policies, programs, and interventions to accommodate non-ADP rural rice farmers in order to enhance rice production against the unwanted climate changes

Thanks

Thank you

References

  • Adejuwon, J.O., Odekunle, T.O., 2006. Variability and the Severity of the “little Dry Season” in southwestern Nigeria. Journal of climate 19, 483–493.
  • Adenuga, A.H., Omotesho, O.A., Ojehomon, V.E.T., Diagne, A., Ayinde, O.E., Arouna, A., 2016. Adoption of Improved Rice Varieties and its Impact on Multi-Dimensional Poverty of Rice Farming Households in Nigeria. Applied Tropical Agriculture 21, 24–32.
  • Ajala, A.S., Gana, A., 2015. Analysis of challenges facing rice processing in Nigeria. Journal of food processing 2015.
  • Akanbi, S.-U.O., Olatunji, O.S., Oladipo, O.S., Adeyemi, U.T., Akinyoade, A., 2022. Vulnerability of Rice Farmers to Climate Change in Kwara State, Nigeria. Turkish Journal of Agriculture-Food Science and Technology 10, 374–380.
  • Ali, S., Ahmad, W., Israr, M., Khan, A., Shah, S.A., 2022. Determinants of Rice Yield in Central Khyber Pakhtunkhwa, Pakistan. Sarhad Journal of Agriculture 38.
  • Anyadike, R.N.C., 2002. Climate and Vegetation‟ in Ofomata, GE K (ed), A survey of the Igbo Nation.
  • Ara, I., Lewis, M., Ostendorf, B., 2016. Spatio-temporal analysis of the impact of climate, cropping intensity and means of irrigation: an assessment on rice yield determinants in Bangladesh. Agriculture & Food Security 5, 1–11.
  • Ayadiuno, R.U., Ndulue, D.C., Mozie, A.T., 2021. Analysis of the Terrain and Soil Particles on the Plains of Du and Anambra River Basins in Uzo Uwani and Ayamelum Local Government Areas in Enugu and Anambra States, Southeastern Nigeria. International Journal of Sciences and Research 77.
  • Ayanlade, A., Radeny, M., Morton, J.F., Muchaba, T., 2018. Rainfall variability and drought characteristics in two agro-climatic zones: an assessment of climate change challenges in Africa. Science of the Total Environment 630, 728–737.
  • Balogun, O.L., Adeyonu, A.G., Ayantoye, K., 2021. Farmers’ Entrepeneurial Competencies and Technical Efficiency of Rice Farms. Review of Agricultural and Applied Economics (RAAE) 24, 12–19.
  • Basorun, J.O., 2013. Expository analysis of rice processing activities in Igbemo, rural Nigeria. American journal of social issues and humanities 3, 78–85.
  • Benard, R., Frankwell, D., Ngalapa, H., 2014. Assessment of information needs of rice farmers in Tanzania; A case study of Kilombero District, Morogoro.
  • Bennett, D., 2014. Record use of rice in recent years positive harbinger for 2014 crop. Delta Farm 71, 14.
  • Chandel, R. bahadur S., Khan, A., Li, X., Xia, X., 2022. Farm-Level Technical Efficiency and Its Determinants of Rice Production in Indo-Gangetic Plains: A Stochastic Frontier Model Approach. Sustainability 14, 2267.
  • Coker, A.A., 2015. Effect of growth enhancement agro-input support on rice output: emerging issues for the green economy in Nigeria. Agro-Science 14, 44–49.
  • Dawe, D., 2013. Geographic determinants of rice self-sufficiency in Southeast Asia. Prepared for FAO.
  • Diagne, A., Amovin-Assagba, E., Futakuchi, K., Wopereis, M.C., 2013. Estimation of cultivated area, number of farming households and yield for major rice-growing environments in Africa. Realizing Africa’s rice promise 35–45.
  • Diagne, M., Demont, M., Seck, P.A., Diaw, A., 2013. Self-sufficiency policy and irrigated rice productivity in the Senegal River Valley. Food security 5, 55–68.
  • Echebiri, R.N., Mbanasor, J.A., 2003. Rural age distribution and farm labour supply in food crop production systems in Abia state, Nigeria. Tropical and subtropical Agroecosystems 2, 129–136.
  • Endale, B.W., Simphiwe, E., Yimer, A.A., 2021. Trends in climate extremes at local farming calendar timescale: evidence from Merti District, Ethiopia. Modeling Earth Systems and Environment 7, 2329–2339.
  • Ezeh, C.U., Obeta, M.C., Anyadike, R.N., 2016. Variations in the sequences of daily rainfall across Nigeria. Arabian Journal of Geosciences 9, 1–8.
  • FAO, IFAD, UNICEF, WFP, WHO, 2019. The State of Food Security and Nutrition in the World 2019: Safeguarding Against Economic Slowdowns and Downturns, Rome, FAO. Licence: CC BY-NC-SA 3.0 IGO. Rome.
  • FAOSTAT, F., 2015. FAOSTAT Country selection.
  • FGN, 2006. Official Gazette, 2006 census, The National Population Commission (NPC). The Federal Republic of Nigeria 2, B1–B42.
  • FMARD, 2016. The Agricultural Promotion Policy (2016 - 2020): Building on the Successes of ATA, Closing Key Gaps. Policy and Strategy Document.
  • Foley, J.A., Ramankutty, N., Brauman, K.A., Cassidy, E.S., Gerber, J.S., Johnston, M., Mueller, N.D., O’Connell, C., Ray, D.K., West, P.C., 2011. Solutions for a cultivated planet. Nature 478, 337–342.
  • GATSBY, 2014. Disseminating improved Rice Varieties. Supporting West Africa Rice Development Association (WARDA) for improved NERICA rice varieties.
  • Hamed, K.H., 2011. The distribution of Kendall’s tau for testing the significance of cross-correlation in persistent data. Hydrological sciences journal 56, 841–853.
  • Hamed, K.H., 2009. Enhancing the effectiveness of prewhitening in trend analysis of hydrologic data. Journal of hydrology 368, 143–155.
  • Hamed, K.H., Rao, A.R., 1998. A modified Mann-Kendall trend test for autocorrelated data. Journal of hydrology 204, 182–196.
  • Hayat, U., Khan, K., Liaqat, S., Xiangyu, G., 2020. Determinants of Rice Productivity in District Nasirabad, Balochistan. Sarhad Journal of Agriculture 36, 567–573.
  • Hendriks, S.L., 2018. A Review of the Draft Federal Government of Nigeria’s National Agriculture Investment Plan (NAIP2).
  • Hirsch, R.M., Slack, J.R., Smith, R.A., 1982. Techniques of trend analysis for monthly water quality data. Water resources research 18, 107–121.
  • Ita, M.N., Ukpong, I.G., Ekpebu, I.D., 2013. Budgetary allocations to the agricultural sector in Nigeria: Implications on investment and productivity. Journal of Agricultural Science 5, 49.
  • Kadiri, F., Eze, C., Orebiyi, S., Nwaiwu, I., 2014. Determinants of sustainability of paddy rice production in niger delta region of Nigeria. Journal of Economics and Sustainable Development 5.
  • Kamal Jan, S.A., Khan, N., 2019. Determinants of Rice Productivity in District Lower Dir, Khyber Pukhthunkhwa, Pakistan. Sarhad Journal of Agriculture 35.
  • Kea, S., Li, H., Pich, L., 2016. Technical efficiency and its determinants of rice production in Cambodia. Economies 4, 22.
  • Kendall, M.G., 1975. Rank Correlation Methods, Charles Griffin, London (1975). Google Sch.
  • Khaliq, M.N., Ouarda, T.B., Gachon, P., Sushama, L., St-Hilaire, A., 2009. Identification of hydrological trends in the presence of serial and cross correlations: A review of selected methods and their application to annual flow regimes of Canadian rivers. Journal of Hydrology 368, 117–130.
  • Koirala, K.H., Mishra, A.K., Mohanty, S., 2014. Determinants of rice productivity and technical efficiency in the Philippines.
  • Koppen, W., 1936. Das geographische system der klimat. Handbuch der klimatologie 46.
  • Maji, A.T., Bashir, M., Odoba, A., Gbanguba, A.U., Audu, S.D., 2015. Genotype à Environment Interaction and Stability Estimate for Grain Yield of Upland Rice Genotypes in Nigeria. Rice Research: Open Access 2015.
  • Mann, H.B., 1945. Nonparametric tests against trend. Econometrica: Journal of the econometric society 245–259.
  • Mech, A., 2017. An analysis of growth trend, instability and determinants of rice production in Assam. Indian Journal of Agricultural Research 51.
  • Mogga, M., Sibiya, J., Shimelis, H., Lamo, J., Ochanda, N., 2019. Appraisal of Major Determinants of Rice Production and Farmers’ Choice of Rice Ideotypes in South Sudan: Implications For Breeding and Policy Interventions. Experimental Agriculture 55, 143–156.
  • NASA, 2020. POWER CERES Agrometeorlogical daily time series data. Available at: https://power.larc.nasa.gov/data-access-viewer/.
  • Niang, A., Becker, M., Ewert, F., Dieng, I., Gaiser, T., Tanaka, A., Senthilkumar, K., Rodenburg, J., Johnson, J.-M., Akakpo, C., 2017. Variability and determinants of yields in rice production systems of West Africa. Field Crops Research 207, 1–12.
  • Niang, A., Becker, M., Ewert, F., Tanaka, A., Dieng, I., Saito, K., 2018. Yield variation of rainfed rice as affected by field water availability and N fertilizer use in central Benin. Nutrient Cycling in Agroecosystems 110, 293–305.
  • Nosiru, O.M.O., Rahji, M.A.Y., Ikpi, A.E., Adenegan, K.O., 2014. Scale Efficiency and Determinants of productivity of New Rice for Africa (NERICA) farmers in Kaduna state, Nigeria. Agrosearch 14, 113–128.
  • Nwozor, A., Olanrewaju, J.S., 2020. The ECOWAS agricultural policy and the quest for food security: assessing Nigeria’s implementation strategies. Development Studies Research 7, 59–71.
  • Obayelu, A.E., Olarewaju, T.O., Oyelami, N.L., 2014. Effect of rural infrastructure on profitability and productivity of cassava-based farms in Odogbolu local government area, Ogun state, Nigeria. Journal of Agricultural Sciences, Belgrade 59, 187–200.
  • Obi-Egbedi, O., Okoruwa, V.O., Aminu, A., Yusuf, S., 2012. Effect of rice trade policy on household welfare in Nigeria. European Journal of Business and Management 4, 160–170.
  • Obisesan, O.O., 2019. Processing Techniques and Efficiency Differentials Among Rice Processors in Nigeria (PhD Thesis).
  • Odekunle, T.O., Adejuwon, S.A., 2007. Assessing changes in the rainfall regime in Nigeria between 1961 and 2004. GeoJournal 70, 145–159.
  • Ofomata, G.E.K., 2002. Relief, Drainage and Landforms, in: A Survey of Igbo Nation. Africana Publishers Ltd, pp. 83–98.
  • Ofomata, G.E.K., 1975. Relief in Ofomata G.E.K. (ed): Nigeria in Maps. Ethiope publishing house, Benin City.
  • Ogah, E.O., Nwilene, F.E., 2017. Incidence of insect pests on rice in Nigeria: a review. Journal of Entomology 14, 58–72.
  • Ojogho, O., Alufohai, G.O., 2013. Comparative demand analysis for rice in Edo, Delta and Lagos states of Nigeria. Agro-Science 12, 1–9.
  • Ojong, F.E., Anam, B.A., 2018. Agriculture Promotion Policy 2016-2020 and Rural Development in Nigeria: Challenges and Prospects. IOSR Journal of Humanities And Social Science 23, 24–29.
  • Okeowo, T.A., 2016. Aggregate Import Demand Analysis of Rice in Nigeria 1970-2012. World Rural Observations 8.
  • Omofonmwan, S.I., Kadiri, M.A., 2007. Problems and prospects of rice production in central district of Edo State, Nigeria. Journal of Human Ecology 22, 123–128.
  • Önöz, B., Bayazit, M., 2012. Block bootstrap for Mann–Kendall trend test of serially dependent data. Hydrological Processes 26, 3552–3560.
  • Onyekwena, C., 2016. Towards rice self-sufficiency in Nigeria: Contemporary issues and challenges. A Power Point Presentation to Centre for the Study of the Economies of Africa (CSEA).
  • Onyeneke, R.U., 2017. Determinants of adoption of improved technologies in rice production in Imo State, Nigeria. African Journal of Agricultural Research 12, 888–896.
  • Osanyinlusi, O.I., Adenegan, K.O., 2016. The determinants of rice farmers’ productivity in Ekiti State, Nigeria.
  • Patakamuri, S.K., O’Brien, N., Patakamuri, M.S.K., 2021. Package ‘modifiedmk.’
  • Pohlert, T., 2020. Non-parametric trend tests and change-point detection. CC BY-ND 4. Premium Times, 2021. Nigeria’s Agric spending plan highest in four years but still far below AU benchmark. Written by Mary Izuaka on 15th October, 2021.
  • Saka, J.O., Lawal, B.O., 2009. Determinants of adoption and productivity of improved rice varieties in southwestern Nigeria. African Journal of Biotechnology 8.
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There are 78 citations in total.

Details

Primary Language English
Subjects Agricultural Engineering (Other)
Journal Section Articles
Authors

Chinedu Mba 0000-0002-8543-5585

Christopher Ezeh 0000-0001-9866-0549

Ignatius A. Madu This is me 0000-0002-2206-6241

Chukwudi Emeribe 0000-0002-1467-4933

Publication Date December 30, 2022
Acceptance Date December 5, 2022
Published in Issue Year 2022 Volume: 32 Issue: 4

Cite

APA Mba, C., Ezeh, C., Madu, I. A., Emeribe, C. (2022). Assessment of climate variability and the determinants of rice productivity in Southeastern Nigeria. Yuzuncu Yıl University Journal of Agricultural Sciences, 32(4), 805-824. https://doi.org/10.29133/yyutbd.1132709
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Yuzuncu Yil University Journal of Agricultural Sciences by Van Yuzuncu Yil University Faculty of Agriculture is licensed under a Creative Commons Attribution 4.0 International License.