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Assessment of Upland Rice Production Constraints and Farmers’ Preferred Varieties in Liberia

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  • Mr. Emmanuel Momolu Pope

    (Department of Seed, Crop and Horticultural Sciences University of Eldoret, University of Eldoret, Kenya)

  • Prof. Wilson Opile

    (Department of Seed, Crop and Horticultural Sciences University of Eldoret, University of Eldoret, Kenya))

  • Dr. Lucas Ngode

    (Department of Seed, Crop and Horticultural Sciences University of Eldoret, University of Eldoret, Kenya)

  • Dr. Chepkoech Emmy

    (Department of Seed, Crop and Horticultural Sciences University of Eldoret, University of Eldoret, Kenya)

Abstract

Rice (Oryza spp) is the primary staple food crop for over 5.3 million people in Liberia that significantly contribute to food security. Despite the numerous benefits of rice, its production in Liberia has remained heavily constrained by low yield, diseases and rainfall variability. To improve rice adoption and productivity in Liberia, it is very important to understand farmer’s production constraints and identify their own preferred rice varieties. This study was conducted to assess key production constraints, and farmer preferred rice varieties across the three major upland rice growing Counties in Liberia. Participatory and group discussion were conducted among 328 upland rice farmers using comparative approach, probing and semi structured interviews. The results of the survey found that most of the farmers cultivated more than one variety. It also showed that there were significant differences in farmers’ preferences for rice varieties among the three counties and the choice of varieties varied significantly across districts. Of the nine districts, Jorquelleh had the highest proportion of farmers who chose to grow Jaowo followed by Fassama, Mienpea Mahn district, and Congo, Zoe Gbao Districts. Across the nine districts, Jaowo is the most preferred variety grown by farmers followed by Fassama and Black rice respectively. Constraints such as drought, pest and diseases, availability of seed, high input cost and harvesting were the major challenges affecting upland rice production as observed in the study areas. The study found out that farmers grow these rice varieties due of its high yielding capacity, early maturity and Drought tolerant. The highly preferred varieties desired by farmers were high grain yield, tall plant height, early flowering and good cooking quality. Rice breeders in Liberia should grasp the preferences of farmers and consumers in their breeding programmes, and the farmers must also be aware of consumer preferences in order to be able to meet their demands.

Suggested Citation

  • Mr. Emmanuel Momolu Pope & Prof. Wilson Opile & Dr. Lucas Ngode & Dr. Chepkoech Emmy, 2023. "Assessment of Upland Rice Production Constraints and Farmers’ Preferred Varieties in Liberia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(2), pages 1307-1322, February.
  • Handle: RePEc:bcp:journl:v:7:y:2023:i:2:p:1307-1322
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    References listed on IDEAS

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    1. Guancheng Guo & Qiyu Wen & Jingjuan Zhu, 2015. "The Impact of Aging Agricultural Labor Population on Farmland Output: From the Perspective of Farmer Preferences," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-7, October.
    2. Tefft, James, 2005. "Agricultural policy and food security in Liberia," ESA Working Papers 289067, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    3. Sall, S. & Norman, D. & Featherstone, A. M., 2000. "Quantitative assessment of improved rice variety adoption: the farmer's perspective," Agricultural Systems, Elsevier, vol. 66(2), pages 129-144, November.
    4. Christian Okechukwu Anyaoha & Uyokei Uba & Ejiro Onotugoma & Semon Mande & Vernon Gracen & Nnabue Ikenne, 2019. "Farmers’ Preferred Traits and Perceptions of Drought Stress on Rainfed Upland Rice Production Across Two Rice Growing States of Nigeria," Journal of Agricultural Studies, Macrothink Institute, vol. 7(3), pages 160-175, September.
    5. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
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