Participatory Variety Evaluation of Red Common Bean (Phaseolus vulgarisL.) in Borecha District of Southern Ethiopia
Received Date: Aug 12, 2016 / Accepted Date: Sep 02, 2016 / Published Date: Sep 05, 2016
Abstract
Red colour seed common beans are more demanded over the white beans at Borecha district. However seed producers established in the district were not started red common bean seed production due to lack of awareness in improved red common bean varieties. Therefore, farmer’s participatory varieties evaluation and selection methods were applied to identify preferred common bean variety in Borecha district. Eight red common bean genotypes were planted in Randomized Complete Block Design as mother trial replicated on four villages of Borecha district to identify farmer’s selection criteria; to popularize the variety and to enhance seed produces capacity in managing varieties portfolios. Farmer’s preference related data was collected for eight red common bean traits. Common bean pre harvest traits such as earliness, seed per pod (>5 seed per pod), pod load, up right growth habit and height of basal pod from the soil are indentified as the best descriptors to accept and reject the varieties. Uniformity of red seed colour was identified as major decisive criteria for accepting and rejecting common bean variety after harvest. Hawassa dume and Dimtu were variety scored the best ranks for all criteria. Farmers selected and discarded the varieties at various stage of common bean growth with fairly high degree of precision.
Keywords: Common bean; Genotypes; Seed producers; Pre-harvest traits; Uniformity
Citation: Mulu A, Gedebo A, Mohammed H (2016) Participatory Variety Evaluation of Red Common Bean (Phaseolus vulgaris L.) in Borecha District of Southern Ethiopia. Adv Crop Sci Tech 4:237. Doi: 10.4172/2329-8863.1000237
Copyright: © 2016 Mulu A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Share This Article
Recommended Journals
Open Access Journals
Article Tools
Article Usage
- Total views: 17099
- [From(publication date): 10-2016 - Nov 23, 2024]
- Breakdown by view type
- HTML page views: 16171
- PDF downloads: 928