International Journal of Agricultural Economics

| Peer-Reviewed |

Factors Influencing Levels and Intensity of Adoption of New Rice for Africa (Nerica) Among Rice Farmers in Ogun State, Nigeria

Received: 24 March 2017    Accepted: 05 April 2017    Published: 24 April 2017
Views:       Downloads:

Share This Article

Abstract

The study determined the levels of New Rice for Africa (NERICA) technology adoption and identified the factors influencing the levels and intensity of technology adoption among the NERICA rice farmers with a view to improving NERICA production among rice farmers in the study area. A multi-stage sampling technique was used to select 200 NERICA rice farmers for the study. Primary data collected were analyzed using descriptive statistics and technology adoption index. Results showed that there were two main levels of NERICA technology adoption among the farmers based on the mean adoption index 0.9547. These were partial adopters with an index of <0.9547 and full adopters with an index of >0.9547. Partial adopters of the NERICA technology accounted for 50.5% of the farmers while full adopters accounted for 49.5%. The levels of adoption of NERICA technology was influenced by factors such as age, farming experience and quantity of fertilizer used while intensity was influenced by factors such as number of labour used, farming experience and quantity of fertilizer used. The study concluded that the adoption rate of NERICA technology in Ogun State could be improved by increasing the quantities of seed, number of labour and appropriate use of fertilizer.

DOI 10.11648/j.ijae.20170203.15
Published in International Journal of Agricultural Economics (Volume 2, Issue 3, May 2017)
Page(s) 84-89
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

Keywords

NERICA, Adoption, Levels of Technology

References
[1] Adedeji, T. O., Nosiru, M. O., Akinsulu, A. A., Ewebiyi, I. O., Abiona, B. G. and Jimoh, T. S.(2013). “Adoption of New Rice for Africa (NERICA) Technology in Ogun State”. Nigeria Journal of Development and Agricultural Economics. 5(9): 365-371.
[2] Akinbile, L. A. (2007). “Determinants of Productivity Level of Rice Farmers in Ogun State, Nigeria”. African Crop Science Conference Proceedings. 8: 1339 – 1344.
[3] Asante, B. O; Wiredu, A. N., Martey, E., Sarpong, D. B and Mensah-Bonsu, A. (2013). “NERICA Adoption and Impacts on Technical Efficiency of Rice Producing Households in Ghana: Implication for Research and Development”. American Journal of Experimental Agriculture 4(3): 244-262, 2014.
[4] Auderbert, A., Dingkuhn, M., Monty, J. P. and David E. J. (1998). “Physiological Mechanisims for Vegetative Vigor of Interspespecific Upland Rice- Implications for Weed Competitiveness”. Japanese Journal of Crop Sciences. 67(2): 358-59.
[5] Awotide, B. A., Wiredu, A. N., Diagne, A. and Ojehomon, V. E. (2013). “Wealth Status and Improved Rice Varieties Adoption among Smallholder Farmers in Nigeria”International Journal of Sustainable Development. 5(9): 11-27.
[6] Aye, G. C. and Mungatana,E. D. (2010). “Technical Efficiency of Traditional and Hybrid maize Farmers in Nigeria: Comparison of Alternative Approaches”. African Journal of Agricultural Research. 5(21): 2909-2917.
[7] Bzugu, P. M., Mustapha, S. B. and Zubairu, E. A. (2010). “Adoption OF NERICA 1 Rice Variety among Farmers in Jalingo Local Government Area of Taraba State, Nigeria”. Journal of Environmental Issues and Agriculture in Developing Countries. 2:2-3.
[8] Dingkuhn, M., Johnson, D. E., Jones, M. P. and Mahamane, M. C. (1998). “The Influence of Rice Plant Type on the Effect of Weed Competition on Oryza sativa and Oryza glaberrima”. Weed Research 38: 207–216.
[9] Dingkuhn, M., Johnson, D. E., Sow, A. and Audebert, A. Y. (1999). “Relationships Between Upland Rice Canopy Characteristics and Weed Competitiveness”. Field Crops Research.61:79–95.
[10] Johnson, D. E., Dingkuhn, M., Jones, M. P. and Mahamane, M. C. (1998). “The Influence of Rice Plant Type on the Effect of Weed Competition on Oryza sativa and Oryza glaberrima”. Weed Research38: 207–216.
[11] Jones, M. P., Dingkuhn, M., Johnson, D. E. and Sam O. F. (1997). “Interspecific Hybridization: Progress and Prospects”. Proceedings of the workshop: Africa/ Asia Joint Research, Interspecific Hybridization between African and Asian Rice Species ed. (Oryza glaberrima and Oryza sativa). Bouaké: WARDA.
[12] Kadiri, F. A.; Eze, C. C; Orebiyi, J. S; Lemchi, J. I;Ohajianya, D. O; Nwaiwu, I. U (2014). “Technical Efficiency in Paddy Rice Production in Niger Delta Region of Nigeria”. Global Journal of Agricultural Research. 2(2): 33-43.
[13] Moses, J. and Adebayo, E. F. (2007). “Efficiency of Factors Determining Rain-fed Rice Production in Ganye Local Government Area, Adamawa State”. Journal of Sustainable Development in Agriculture and Environment. 3(2): 20-30.
[14] Nosiru, O. M. O., M. A. Y. Rahji, A. E. Ikpi and K. O. Adenegan (2014). “Scale Efficiency And Determinants Of Productivity Of New Rice For Africa (Nerica) Farmers In Kaduna State, Nigeria”. Agrosearch 14(2):113-128.
[15] Olagunju, F. I. and Salimonu, K. K. (2010). “Effect of Adoption Pattern of Fertilizer Technology on Small Scale Farmers Productivity in Boluwaduro Local Government”. World Rural Observations. 2(3):23-33.
[16] Ologbon, O. A. C., Ikheloa, E. E. and Akerele E. O. (2012). “Adoption of Ofada Rce Variety and Technical Efficiency of Rice- Based Production Systems in Ogun State, Nigeria”. World Journal of Agricultural Sciences, 8(6): 624-631.
[17] Onyenweaku, C. E., Okoye, B. C. and Okorie, K. C. (2010). “Determinants of Fertilizer Adoption by Rice Farmers in Bende Local Government Area of Abia State, Nigeria”. Nigerian Agricultural Journal 41(2):1-6.
[18] Osiname, A. (2002). “Review of Current Status, Policy and Prospects of Rice Production in Nigeria”. A Presentation at Rice Stakeholders Workshop Nigerian Institute of Social and Economic Research (NISER) Oyo Road, Ibadan 19-20 November. Papers 3, 135 – 146.
[19] Raufun, M. O (2014). “Cost and Return Analysis of Rice Production in Kwara State, Nigeria Under Sawah Technology”. Advance Agriculture Biology.1(2):79-83.
[20] Tiamiyu, S. A. (2008). “Efficiency and Technology Use among Growers of NERICA Rice Varieties in the Savanna Zone of Nigeria”. Agricultural Tropica et subtropica. 22(3): 153-157.
[21] Tiamiyu, S. A., Akintola, J. O. and Rahji, M. A. (2009). “Technology Adoption and Productivity Difference among Growers of New Rice for Africa in Savanna Zone of Nigeria”. Agricultural Tropica et subtropica. 27(4), 193-197.
[22] Tiamiyu, S. A. (2010). “Production Efficiency among Growers of New Rice for Africa in the Savanna Zone of Nigeria”. Agricultural Tropica et subtropica.43(2): 134-139.
[23] Tijani, A. A. (2006). “Analysis of the Technical Efficiency of Rice Farms in Ijesha Land of Osun State, Nigeria”. Journal of Agricultural Economics. 45(2): 126-136.
[24] Wopereis, M. C. S., Diagne, A., Rodenburg, J., Sié, M. and Somado, E. A. (2008). “Why NERICA is a Successful Innovation for African Farmers: A response to Orr et al. from the Africa Rice Center Outlook on Agriculture. 37(3): 169-176.
Author Information
  • Department of Agricultural Economics, Obafemi Awolowo University, Ile-Ife, Nigeria

  • Department of Agricultural Economics, Obafemi Awolowo University, Ile-Ife, Nigeria

  • Department of Agricultural Economics, Obafemi Awolowo University, Ile-Ife, Nigeria

Cite This Article
  • APA Style

    Ogunya Lydia Olufunmilola, Simeon Adebayo Bamire, Ayodeji Sunday Ogunleye. (2017). Factors Influencing Levels and Intensity of Adoption of New Rice for Africa (Nerica) Among Rice Farmers in Ogun State, Nigeria. International Journal of Agricultural Economics, 2(3), 84-89. https://doi.org/10.11648/j.ijae.20170203.15

    Copy | Download

    ACS Style

    Ogunya Lydia Olufunmilola; Simeon Adebayo Bamire; Ayodeji Sunday Ogunleye. Factors Influencing Levels and Intensity of Adoption of New Rice for Africa (Nerica) Among Rice Farmers in Ogun State, Nigeria. Int. J. Agric. Econ. 2017, 2(3), 84-89. doi: 10.11648/j.ijae.20170203.15

    Copy | Download

    AMA Style

    Ogunya Lydia Olufunmilola, Simeon Adebayo Bamire, Ayodeji Sunday Ogunleye. Factors Influencing Levels and Intensity of Adoption of New Rice for Africa (Nerica) Among Rice Farmers in Ogun State, Nigeria. Int J Agric Econ. 2017;2(3):84-89. doi: 10.11648/j.ijae.20170203.15

    Copy | Download

  • @article{10.11648/j.ijae.20170203.15,
      author = {Ogunya Lydia Olufunmilola and Simeon Adebayo Bamire and Ayodeji Sunday Ogunleye},
      title = {Factors Influencing Levels and Intensity of Adoption of New Rice for Africa (Nerica) Among Rice Farmers in Ogun State, Nigeria},
      journal = {International Journal of Agricultural Economics},
      volume = {2},
      number = {3},
      pages = {84-89},
      doi = {10.11648/j.ijae.20170203.15},
      url = {https://doi.org/10.11648/j.ijae.20170203.15},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijae.20170203.15},
      abstract = {The study determined the levels of New Rice for Africa (NERICA) technology adoption and identified the factors influencing the levels and intensity of technology adoption among the NERICA rice farmers with a view to improving NERICA production among rice farmers in the study area. A multi-stage sampling technique was used to select 200 NERICA rice farmers for the study. Primary data collected were analyzed using descriptive statistics and technology adoption index. Results showed that there were two main levels of NERICA technology adoption among the farmers based on the mean adoption index 0.9547. These were partial adopters with an index of <0.9547 and full adopters with an index of >0.9547. Partial adopters of the NERICA technology accounted for 50.5% of the farmers while full adopters accounted for 49.5%. The levels of adoption of NERICA technology was influenced by factors such as age, farming experience and quantity of fertilizer used while intensity was influenced by factors such as number of labour used, farming experience and quantity of fertilizer used. The study concluded that the adoption rate of NERICA technology in Ogun State could be improved by increasing the quantities of seed, number of labour and appropriate use of fertilizer.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Factors Influencing Levels and Intensity of Adoption of New Rice for Africa (Nerica) Among Rice Farmers in Ogun State, Nigeria
    AU  - Ogunya Lydia Olufunmilola
    AU  - Simeon Adebayo Bamire
    AU  - Ayodeji Sunday Ogunleye
    Y1  - 2017/04/24
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ijae.20170203.15
    DO  - 10.11648/j.ijae.20170203.15
    T2  - International Journal of Agricultural Economics
    JF  - International Journal of Agricultural Economics
    JO  - International Journal of Agricultural Economics
    SP  - 84
    EP  - 89
    PB  - Science Publishing Group
    SN  - 2575-3843
    UR  - https://doi.org/10.11648/j.ijae.20170203.15
    AB  - The study determined the levels of New Rice for Africa (NERICA) technology adoption and identified the factors influencing the levels and intensity of technology adoption among the NERICA rice farmers with a view to improving NERICA production among rice farmers in the study area. A multi-stage sampling technique was used to select 200 NERICA rice farmers for the study. Primary data collected were analyzed using descriptive statistics and technology adoption index. Results showed that there were two main levels of NERICA technology adoption among the farmers based on the mean adoption index 0.9547. These were partial adopters with an index of <0.9547 and full adopters with an index of >0.9547. Partial adopters of the NERICA technology accounted for 50.5% of the farmers while full adopters accounted for 49.5%. The levels of adoption of NERICA technology was influenced by factors such as age, farming experience and quantity of fertilizer used while intensity was influenced by factors such as number of labour used, farming experience and quantity of fertilizer used. The study concluded that the adoption rate of NERICA technology in Ogun State could be improved by increasing the quantities of seed, number of labour and appropriate use of fertilizer.
    VL  - 2
    IS  - 3
    ER  - 

    Copy | Download

  • Sections