This study was carried out to evaluate the performance of BRRI cultivars, identifying criteria and constraints as well as factors influencing the intensity of BRRI cultivars adoption in Aus season on the farm households in Mymensingh district. The data were collected through structured questionnaires from a total of 390 randomly selected rice farmers from thirteen Upazila of Mymensingh district. The study employed descriptive statistics and Tobit censored regression to determine the adoption and yield status; and adoption intensity determinants. In addition to a total of thirteen FGDs and expert panel interview was conducted to verify the collected data. The results show that 82.04 percent of the area in Mymensingh district was cultivated with rice variety developed by Bangladesh Rice Research Institute (BRRI) with an average yield of 4.05 t/ha during the Aus season. The findings of the Tobit censored regression indicate that schooling, distance to the local market, training, price variation, taste and preference, amount of cultivated varieties, yield variability were the significant factors of the intensity of BRRI varieties adoption in Aus season. The study's results suggested that breeders should also emphasize the choice of farmers while developing varieties. In addition to developing new rice varieties, BRRI, Department of Agricultural Extension (DAE), Bangladesh Agricultural Corporation (BADC) and other seed producing organizations need to work together to provide the farmers with good quality seeds of BRRI varieties, which will increase the total production of the country, thus helping to ensure food safety.
| Published in | International Journal of Agricultural Economics (Volume 5, Issue 5) |
| DOI | 10.11648/j.ijae.20200505.18 |
| Page(s) | 210-217 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Adoption Intensity, Aus Season, BRRI Varieties, Tobit Censored Regression, Criteria and Constraints, Rice, Bangladesh
| [1] | Chowdhury, M. A. (2009). Sustainability of accelerated rice production in Bangladesh: technological issues and the environment. Bangladesh Journal of Agricultural Research, 34 (3), 523-529. |
| [2] | BBS “Yearbook of Agricultural Statistics-2019”, Statistics and Informatics Division, Bangladesh Bureau of Statistics, Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka, Bangladesh, 2020. |
| [3] | BBS “Labour Force Survey of Bangladesh 2016-17”, Statistics and Informatics Division, Bangladesh Bureau of Statistics, Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka, Bangladesh, 2018. |
| [4] | Rahman, N. M. F., M. M. Hasan, M. I. Hossain, M. A. Baten, S. Hosen, M. A. Ali, and M. S. Kabir (2016). Forecasting Aus Rice Area and Production in Bangladesh using Box-Jenkins Approach. Bangladesh Rice Journal, 20 (1), 1-10. |
| [5] | BBS “Final Report on Household Income and Expenditure Survey 2016”, Statistics and Informatics Division, Bangladesh Bureau of Statistics, Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka, Bangladesh, 2019. |
| [6] | Bhuiyan, N. I., D. N. R. Paul, and M. A. Jabber (2002). Feeding the extra millions by 2025: Challenges for rice research and extension in Bangladesh. In National Workshop on Rice Research and Extension in Bangladesh, Bangladesh Rice Research Institute, Gazipur (pp. 29-31). |
| [7] | Hossain, M., F. Naher, and Q. Shahabuddin (2005). Food security and nutrition in Bangladesh: progress and determinants. eJADE: electronic Journal of Agricultural and Development Economics, 2 (853-2016-56126), 103-132. |
| [8] | S. Huq, J. Chow, A. Fenton, C. Stott, J. Taub, and H. Wright, eds. Confronting Climate Change in Bangladesh: Policy Strategies for Adaptation and Resilience. Vol. 28. Springer, 2019. |
| [9] | Uddin, M. T. and A. R. Dhar (2018). Government input support on Aus rice production in Bangladesh: impact on farmers’ food security and poverty situation. Agriculture & Food Security, 7 (1), 14. |
| [10] | Shelley, I. J., M. Takahashi-Nosaka, M. Kano-Nakata, M. S. Haque, & Y. Inukai (2016). Rice cultivation in Bangladesh: present scenario, problems, and prospects. Journal of International Cooperation for Agricultural Development, 14 (4), 20-29. |
| [11] | Khanom, T. (2016). Effect of salinity on food security in the context of interior coast of Bangladesh. Ocean & Coastal Management, 130, 205-212. |
| [12] | Islam, M. S., T. H., Miah, Rahman, K. M., & Haque, M. M. 2010. Changing Land Use Patterns and Their Impact on Food Security for Farm Households in Bangladesh. National Food Policy Capacity Strengthening Programme. |
| [13] | Afroz, S., and M. S. Islam (2012). Economics of Aus Rice (Oryza sativa) and Jute (Corchorusolitorius) Cultivation in Some Selected Areas of Narsingdi District of Bangladesh. The Agriculturists, 10 (2), 90-97. |
| [14] | BRRI (Bangladesh Rice Research Institute), Government of the People’s Republic of Bangladesh, Joydebpur, Gazipur, Bangladesh, 2011. |
| [15] | Hussain, S. G. (2011). Assessing Impacts of Climate Change on Cereal Production and Food Security in Bangladesh. In R. Lal, A. H. M. M. Rahman, M. V. K. Sivakumar, K. R. Islam, & S. M. A. Faiz (Eds.), Climate Change and Food Security in South Asia, pp. 459-476). Netherlands: Springer. |
| [16] | Rahaman, M., M. A. R. Sarkar, L. Deb, M. J. Kabir, M. R. Sarker, M. Siddique, and A. B. Siddique (2018). Economic investigation of BRRI dhan29 and hybrid rice production in Bangladesh: The case of Haor area. International Journal of Natural and Social Sciences, 5 (1), 35-43. |
| [17] | Ellis, F. (1992). Agricultural policies in developing countries. Cambridge university press. |
| [18] | BRRI “Modern Rice Cultivation (Adhunik Dhaner Chash)”, 23rd edition, page 103. Bangladesh Rice Research Institute, Gazipur, Bangladesh, 2020. |
| [19] | Ilesanmi, J. O., and J. A. Afolabi (2020). Determinants of Adoption of Improved Cocoa Technologies in Ekiti State, Nigeria. International Journal of Agricultural Economics, 5 (2), 36. |
| [20] | Feder, G., R. E. Just and D. Zilberman (1985). Adoption of agricultural innovations in developing countries: A survey. Economic development and cultural change, 33 (2), 255-298. |
| [21] | Splett, N. S., P. J. Barry, B. L. Dixon, and P. N. Ellinger (1994). A joint experience and statistical approach to credit scoring. Agricultural finance review (USA), 54: 39-54. |
| [22] | Johnston, J. and J. Dinardo (1997). Econometrics Methods. Fourth Edition. The McGraw-Hill Companies, Inc, New York. |
| [23] | Langyintuo, A. S., and C. Mungoma (2008). The effect of household wealth on the adoption of improved maize varieties in Zambia. Food policy, 33 (6), 550-559. |
| [24] | Kassie, M., B. Shiferaw and G. Muricho (2011). Agricultural technology, crop income, and poverty alleviation in Uganda. World Development, 39 (10), 1784-1795. |
| [25] | Asfaw, S., B. Shiferaw, F. Simtowe, and L. Lipper (2012). Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia. Food policy, 37 (3), 283-295. |
| [26] | Ghimire, R., H. U. A. N. G. Wen-Chi, & R. B. Shrestha (2015). Factors affecting adoption of improved rice varieties among rural farm households in Central Nepal. Rice Science, 22 (1), 35-43. |
| [27] | Danso-Abbeam, G., J. A. Bosiako, D. S. Ehiakpor, and F. N. Mabe (2017). Adoption of improved maize variety among farm households in the northern region of Ghana. Cogent Economics & Finance, 5 (1), 1416896. |
| [28] | Mariano, M. J., R. Villano, and E. Fleming (2012). Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines. Agricultural Systems, 110, 41-53. |
| [29] | Islam, M. A., M. C. Rahman, M. A. R. Sarkar, and M. A. B. Siddique (2019). Assessing Impact of BRRI Released Modern Rice Varieties Adoption on Farmers’ Welfare in Bangladesh: Application of Panel Treatment Effect Model. Bangladesh Rice Journal, 23 (1), 1-11. |
| [30] | Teshome, B., R. Negash, and A. Shewa (2019). Determinants of adoption of improved Jalenea potato variety: The case of Chencha Woreda, Southern Ethiopia. |
| [31] | Takam-Fongang, G. M., C. B. Kamdem, and G. Q. Kane (2019). Adoption and impact of improved maize varieties on maize yields: Evidence from central Cameroon. Review of Development Economics, 23 (1), 172-188. |
| [32] | Mondo, J. M., A. B. Irenge, R. B. B. Ayagirwe, P. M. Dontsop-Nguezet, K. Karume, E. Njukwe, S. M. Mapatano, P. M. Zamukulu, G. C. Basimine, E. M. Musungayi, H. K. Mbusa, L. M. Kazamwali, R. Civava, and G. N. Mushagalusa (2019). “Determinants of Adoption and Farmers' Preferences for Cassava Varieties in Kabare Territory, Eastern Democratic Republic of Congo.” American Journal of Rural Development, vol. 7, no. 2: (44-52. doi: 10.12691/ajrd-7-2-1. |
| [33] | Timu, A. G., R. Mulwa, J. Okello, and M. Kamau (2014). The role of varietal attributes on adoption of improved seed varieties: the case of sorghum in Kenya. Agriculture & Food Security, 3 (1), 9. |
| [34] | Otieno, Z., J. J. Okello, R. Nyikal, A. Mwang'ombe, and D. Clavel (2011). The role of varietal traits in the adoption of improved dryland crop varieties: The case of pigeon pea in Kenya. African Journal of Agricultural and Resource Economics, 6 (311-2016-5587). |
APA Style
Md. Shajedur Rahaman, Md. Jahangir Kabir, Md. Abdur Rouf Sarkar, Mohammad Ariful Islam, Mohammad Chhiddikur Rahman, et al. (2020). Factors Affecting Adoption of BRRI Released Aus Rice Varieties in Mymensingh District. International Journal of Agricultural Economics, 5(5), 210-217. https://doi.org/10.11648/j.ijae.20200505.18
ACS Style
Md. Shajedur Rahaman; Md. Jahangir Kabir; Md. Abdur Rouf Sarkar; Mohammad Ariful Islam; Mohammad Chhiddikur Rahman, et al. Factors Affecting Adoption of BRRI Released Aus Rice Varieties in Mymensingh District. Int. J. Agric. Econ. 2020, 5(5), 210-217. doi: 10.11648/j.ijae.20200505.18
AMA Style
Md. Shajedur Rahaman, Md. Jahangir Kabir, Md. Abdur Rouf Sarkar, Mohammad Ariful Islam, Mohammad Chhiddikur Rahman, et al. Factors Affecting Adoption of BRRI Released Aus Rice Varieties in Mymensingh District. Int J Agric Econ. 2020;5(5):210-217. doi: 10.11648/j.ijae.20200505.18
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijae.20200505.18,
author = {Md. Shajedur Rahaman and Md. Jahangir Kabir and Md. Abdur Rouf Sarkar and Mohammad Ariful Islam and Mohammad Chhiddikur Rahman and Md. Abu Bakr Siddique},
title = {Factors Affecting Adoption of BRRI Released Aus Rice Varieties in Mymensingh District},
journal = {International Journal of Agricultural Economics},
volume = {5},
number = {5},
pages = {210-217},
doi = {10.11648/j.ijae.20200505.18},
url = {https://doi.org/10.11648/j.ijae.20200505.18},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20200505.18},
abstract = {This study was carried out to evaluate the performance of BRRI cultivars, identifying criteria and constraints as well as factors influencing the intensity of BRRI cultivars adoption in Aus season on the farm households in Mymensingh district. The data were collected through structured questionnaires from a total of 390 randomly selected rice farmers from thirteen Upazila of Mymensingh district. The study employed descriptive statistics and Tobit censored regression to determine the adoption and yield status; and adoption intensity determinants. In addition to a total of thirteen FGDs and expert panel interview was conducted to verify the collected data. The results show that 82.04 percent of the area in Mymensingh district was cultivated with rice variety developed by Bangladesh Rice Research Institute (BRRI) with an average yield of 4.05 t/ha during the Aus season. The findings of the Tobit censored regression indicate that schooling, distance to the local market, training, price variation, taste and preference, amount of cultivated varieties, yield variability were the significant factors of the intensity of BRRI varieties adoption in Aus season. The study's results suggested that breeders should also emphasize the choice of farmers while developing varieties. In addition to developing new rice varieties, BRRI, Department of Agricultural Extension (DAE), Bangladesh Agricultural Corporation (BADC) and other seed producing organizations need to work together to provide the farmers with good quality seeds of BRRI varieties, which will increase the total production of the country, thus helping to ensure food safety.},
year = {2020}
}
TY - JOUR T1 - Factors Affecting Adoption of BRRI Released Aus Rice Varieties in Mymensingh District AU - Md. Shajedur Rahaman AU - Md. Jahangir Kabir AU - Md. Abdur Rouf Sarkar AU - Mohammad Ariful Islam AU - Mohammad Chhiddikur Rahman AU - Md. Abu Bakr Siddique Y1 - 2020/10/12 PY - 2020 N1 - https://doi.org/10.11648/j.ijae.20200505.18 DO - 10.11648/j.ijae.20200505.18 T2 - International Journal of Agricultural Economics JF - International Journal of Agricultural Economics JO - International Journal of Agricultural Economics SP - 210 EP - 217 PB - Science Publishing Group SN - 2575-3843 UR - https://doi.org/10.11648/j.ijae.20200505.18 AB - This study was carried out to evaluate the performance of BRRI cultivars, identifying criteria and constraints as well as factors influencing the intensity of BRRI cultivars adoption in Aus season on the farm households in Mymensingh district. The data were collected through structured questionnaires from a total of 390 randomly selected rice farmers from thirteen Upazila of Mymensingh district. The study employed descriptive statistics and Tobit censored regression to determine the adoption and yield status; and adoption intensity determinants. In addition to a total of thirteen FGDs and expert panel interview was conducted to verify the collected data. The results show that 82.04 percent of the area in Mymensingh district was cultivated with rice variety developed by Bangladesh Rice Research Institute (BRRI) with an average yield of 4.05 t/ha during the Aus season. The findings of the Tobit censored regression indicate that schooling, distance to the local market, training, price variation, taste and preference, amount of cultivated varieties, yield variability were the significant factors of the intensity of BRRI varieties adoption in Aus season. The study's results suggested that breeders should also emphasize the choice of farmers while developing varieties. In addition to developing new rice varieties, BRRI, Department of Agricultural Extension (DAE), Bangladesh Agricultural Corporation (BADC) and other seed producing organizations need to work together to provide the farmers with good quality seeds of BRRI varieties, which will increase the total production of the country, thus helping to ensure food safety. VL - 5 IS - 5 ER -
Information
Email: