Participatory appraisal of production constraints, preferred traits and farming system of cowpea in the northern Namibia: implications for breeding

Horn, Lydia N.; Shimelis, Hussein; Laing, Mark

doi:10.18805/lr.v38i5.5952

Cited by 33 publications

(57 citation statements)

References 11 publications

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“…In Namibia and other arid and semi-arid regions of sub-Saharan Africa, farmers prefer short cycle duration cowpea varieties which mature within 55 to 60 days after planting (Abadassi, 2015;Horn et al, 2015). In the present study, the genotype R1P12 (Nk100) was found to be the most promising early maturing variety favourably rated by 59.7 percent per cent of participating farmers (Table 4).…”

Section: Drought Tolerancementioning

confidence: 52%

“…Most participating farmers (79 percent) selected the genotype R11P11 (Bi450) as the most suitable candidate with a very good and larger pod size (Table 4). In Namibia, farmers prefer larger pod size bearing > 10 grains per pod (Horn et al, 2015). Similarly, most farmers in the study areas preferred larger grain sizes of cowpea (Horn et al, 2015).…”

Section: Drought Tolerancementioning

confidence: 73%

“…In Namibia, farmers prefer larger pod size bearing > 10 grains per pod (Horn et al, 2015). Similarly, most farmers in the study areas preferred larger grain sizes of cowpea (Horn et al, 2015). Studies in West Africa also indicated that large grain black eye pea would fetch premium price in the market than small sized grains (Langyintuo et al, 2003;Timko et al, 2007).…”

Section: Drought Tolerancementioning

confidence: 80%

“…Participants scored the varieties based on their preference and overall observation of each variety. Nine agronomic attributes or scoring criteria which were believed to be farmers-preferred traits of cowpea in northern Namibia (Horn et al, 2015), were chosen to capture for each tested variety. These traits included: plant cover (PC), number of pods per plant (NPP), pod size (PS), early maturity (EM), grain colour (GC), grain size (GS), pod yield (PY), pest tolerance (PT) and drought tolerance (DT).…”

Section: Data Collection and Analysismentioning

confidence: 99%

“…Gathering information on the nature and degree of genetic diversity would assist plant breeders in choosing the best genotypes as parents for hybridisation. Important agronomic traits of cowpea preferred by farmers include early maturity, insect pest resistance, drought tolerance, better above ground biomass, higher seed yield and cooking quality (Abadassi, 2015;Horn et al, 2015). In Namibia, three landrace varieties of cowpea are widely cultivated by smallholder farmers.…”

Section: Introductionmentioning

confidence: 99%

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Participatory varietal selection among elite cowpea genotypes in northern Namibia

Horn

Ghebrehiwot

Sarsu

et al. 2017

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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) was preferred by 81 percent percent of farmers for its higher pod setting ability. The genotype R4P5 (Nk150) with longer pod size and R3P1 (Bi600) with early maturity were ideal candidates preferred by nearly all farmers. The present study has identified farmers' most-preferred cowpea varieties selected for their best agronomic performances and drought tolerance. These selected cowpea genotype lines will further be subjected to distinct, uniformity and stability trials for varietal registration and release.

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Section: Drought Tolerancementioning

confidence: 52%

Section: Drought Tolerancementioning

confidence: 73%

Section: Drought Tolerancementioning

confidence: 80%

Section: Data Collection and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Participatory varietal selection among elite cowpea genotypes in northern Namibia

Horn

Ghebrehiwot

Sarsu

et al. 2017

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Cowpea leaf width correlates with above ground biomass across diverse environments

et al. 2022

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Cowpea (Vigna unguiculata [L.] Walp.) yields within the dry savannahs of Sub-Saharan Africa are low. Given the contribution of cowpea to food security in this region, it is essential that high-yielding varieties are developed to improve crop productivity in a sustainable manner. Identifying morphological or physiological traits that correlate with biomass could assist breeders with rapid screening of diverse germplasm. This study investigated 23 diverse Nigerian cowpea lines in an environmentally controlled greenhouse and 50 diverse lines from a Multiparent Advanced Generation Intercross (MAGIC) population in the field to identify easily measurable traits associated with high above ground biomass. Correlation analyses found that leaf traits were significantly and positively correlated with above ground biomass, and the leaf width of the youngest fully expanded leaf was the best indicator of biomass yield. Analysis of variance identified significant differences among the genotypes for all measured traits, indicating that there is genetic variation among these varieties and opportunity for selection. These results from the greenhouse and the field indicate that the leaf width of the youngest fully expanded leaf can be used to rapidly select cowpea lines with high biomass production potential.

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AMMI and GGE biplot analysis of genotype by environment interaction and yield stability in early maturing cowpea [Vigna unguiculata (L) Walp] landraces in Ethiopia

Kindie¹,

Tesso

Amsalu

2021

Plant Enviro Interactions

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Cowpea is one of the most important grain legumes for human consumption and animal feeding. Despite this importance, its production is hampered by biotic and abiotic constraints. Genotype by environment interaction study was performed to identify the most stable cowpea genotype(s) and the desirable environment(s) for cowpea research in Ethiopia. Twenty‐four cowpea landraces and one standard check were evaluated for grain yield and yield‐related traits at six locations (Sekota, Kobo, Sirinka, Melkassa, Mieso, and Babile) using 5 × 5 triple lattice during 2019. Combined analysis of variance showed that grain yield was significantly affected by environments, genotypes, and GE interactions. AMMI analysis revealed the contribution of environment, genotype, and GEI for 29.79%, 15.6%, and 42.06% of variation on grain yield. The first two principal components explained 57.97% of the total GEI variance. AMMI model selected G24 as 1st and 2nd best genotype at five environments. The polygon view of the GGE biplot identified three mega‐environments (ME1, ME2, and ME3) with winning genotypes: G24, G3, and G16, respectively. The highest productive (2528.8 kg ha−1) environment, miesso has been identified as the most; discriminating and representative testing environment whereas the lowest productive (1676.1 kg ha−1) Sirinka was the least discriminating and representative. The highest yielder G24 (2632 kg ha−1) was identified as the “ideal” and the most stable genotype followed by G16 (2290 kg ha−1) while the least stable and low yielder was G11. Therefore, genotypes G24 and G16 were recommended for verification and commercial production in most cowpea growing areas of Ethiopia.

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Participatory appraisal of production constraints, preferred traits and farming system of cowpea in the northern Namibia: implications for breeding

Cited by 33 publications

References 11 publications

Participatory varietal selection among elite cowpea genotypes in northern Namibia

Participatory varietal selection among elite cowpea genotypes in northern Namibia

Cowpea leaf width correlates with above ground biomass across diverse environments

AMMI and GGE biplot analysis of genotype by environment interaction and yield stability in early maturing cowpea [Vigna unguiculata (L) Walp] landraces in Ethiopia

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