2017
DOI: 10.18805/lr-334
|View full text |Cite
|
Sign up to set email alerts
|

Participatory varietal selection among elite cowpea genotypes in northern Namibia

Abstract: The objective of this study was to select cowpea [Vigna unguiculata (L.) Walp.] varieties that meet farmers' needs in Namibia, from a set of newly developed and elite cowpea varieties developed through gamma irradiation. Thirty four candidate mutant cowpea varieties derived from three local varieties, (Shindimba, Bira and Nakare), were evaluated for nine agronomic traits. The new genotypes descended from Bira were favourably selected by all participants for their best plant cover. The genotype L1P12 (Bi450) w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
3
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 9 publications
(19 reference statements)
1
3
0
Order By: Relevance
“…The farmers' selection criteria were slightly different from those of researchers in that the earlier included traits such as good taste, seed size, short cooking ability, and seed color. Current investigation confirms the observation by Horn et al (2017) and Abadassi (2015) that farmers' perception about cowpea varieties is not always the same as researchers' and if given the opportunity, farmers can express their preferences differently. FPW= =all farmers pairwise preference rank; FDM= all farmers direct matrix preference rank, RR=Researchers rank; a Spearman rank correlation coefficient (r) between all farmers using the pairwise method and crop harvest results (grain yield); b rs rank correlation coefficient (rs) between all farmers preference using direct matrix method and researchers measured grain yield; c spearman's rank correlation coefficient (rs) between two ranking methods; WWT =white wonderer trailing (standard check).…”
Section: Farmers' Varieties Selection Based On Direct Matrix Rankingsupporting
confidence: 88%
See 2 more Smart Citations
“…The farmers' selection criteria were slightly different from those of researchers in that the earlier included traits such as good taste, seed size, short cooking ability, and seed color. Current investigation confirms the observation by Horn et al (2017) and Abadassi (2015) that farmers' perception about cowpea varieties is not always the same as researchers' and if given the opportunity, farmers can express their preferences differently. FPW= =all farmers pairwise preference rank; FDM= all farmers direct matrix preference rank, RR=Researchers rank; a Spearman rank correlation coefficient (r) between all farmers using the pairwise method and crop harvest results (grain yield); b rs rank correlation coefficient (rs) between all farmers preference using direct matrix method and researchers measured grain yield; c spearman's rank correlation coefficient (rs) between two ranking methods; WWT =white wonderer trailing (standard check).…”
Section: Farmers' Varieties Selection Based On Direct Matrix Rankingsupporting
confidence: 88%
“…Selection of farmer acceptable varieties with better adaptability through a participatory methodology is an essential approach to meet the actual needs of the farmers in south Ethiopia. Close cooperation between research scientists and farmers in the testing of varieties could enable the identification of crop genotypes preferred by farmers for large-scale production or targeted breeding (Horn et al, 2017). A participatory approach improves the adoption of improved technologies and farmers' knowledge and empowers traditional knowledge and innovations to be included in the research (Orawu et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, Horn et al. (2017) found four mutants with widespread adaption in Namibia at M7 and radiated four elite cowpea cultivars there.…”
Section: Introductionmentioning
confidence: 99%