Selection criteria for grain yield and stability in bambara groundnut (<i>Vigna subterranean</i>(L) Verdc) landraces

Alake, C. O.; Ayo-Vaughan, M. A.; Ariyo, J. Omolayo

doi:10.1080/09064710.2015.1020858

Cited by 9 publications

(10 citation statements)

References 16 publications

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“…In addition, for economically important traits, breeding for pod yield will be more difficult in comparison with Fe, K, and protein content, as G × E interactions were less prevalent for the latter traits. The significant effects of G × E interactions on agro-morphological traits have been reported earlier for bambara groundnut (Adeniji, Peter, and Ibrahim 2008;Alake, Ayo-Vaughan, and Ariyo 2015). However, to the best of our knowledge, this is the first report on G × E interactions relative to nutritional traits in bambara groundnut, suggesting the need for a specific adaptation strategy when breeding for high nutrient concentration, most especially Fe, K, and protein content among bambara groundnut landraces.…”

Section: Discussionsupporting

confidence: 65%

“…Although there have been numerous studies on genetic diversity in bambara groundnut landraces (Alake, Ayo-Vaughan, and Ariyo 2015;Massawe et al 2002;Toure et al 2012), aspects related to nutritional traits have received only very limited attention. In addition, our understanding of the estimation of genotype × environment interaction in the control of agro-nutritional traits in bambara groundnut is poor.…”

Section: Introductionmentioning

confidence: 99%

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Genetic Diversity for Agro-Nutritional Traits in African Landraces of Vigna subterranean Germplasm

Alake

2016

Journal of Crop Improvement

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Breeding African indigenous crops with increased nutritional value has recently been strongly advocated as a sustainable rural-based strategy of partially meeting the nutritional requirements of a large proportion of Africa's population. This approach requires information on the extent of genetic diversity among available genetic resources. Forty bambara groundnut (Vigna subterranean (L) Verdc) landraces of African origin were evaluated for agronomic attributes, protein, and grain mineral contents in a replicated field experiment at a single location across 2 years at the experimental field of the Federal University of Agriculture, Abeokuta, Nigeria. Principal component analysis (PCA) and cluster analysis (CA) (the Ward's method) were employed to study the variation pattern. Highly significant (P < 0.01) variation was detected among the landraces for all traits. Spearman's rank correlation indicated relatively high G × E interactions for all traits except Fe, K, and protein content, suggesting that single year testing is not sufficient for such traits. The first two PCs, which accounted for 40.81% of the multitrait variation, had all the agronomic traits and Cu as the main contributors. Grain protein content, Zn, Mg, K, Fe, and Ca were the most important loadings for the remaining PCs. Based on nutritional and components of yield traits, cluster analysis stratified landraces into five major groups. Concurrent improvement in pod yield and Zn, Fe, and protein contents could be possible by selecting promising parents from clusters 2 and 3. The diversity found in African landraces of bambara groundnut can be exploited for developing cultivars with improved nutritional value. ARTICLE HISTORY

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Section: Discussionsupporting

confidence: 65%

Section: Introductionmentioning

confidence: 99%

Genetic Diversity for Agro-Nutritional Traits in African Landraces of Vigna subterranean Germplasm

Alake

2016

Journal of Crop Improvement

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“…Since the introduction of the GGE biplot, numerous applications of the method on MET analysis have been reported. Alake et al [23] determined the yield stability of 24 BGN landraces using GGE biplot analysis. Elsewhere, GGE biplot analysis of yield stability for Andean dry bean accessions grown under different abiotic stress regimes in Tanzania was reported by Mndolwa et al [24].…”

Section: Introductionmentioning

confidence: 99%

GGE Biplot Analysis of Genotype × Environment Interaction and Yield Stability in Bambara Groundnut

et al. 2021

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In plant breeding and agricultural research, biplot analysis has become an important statistical technique. The goal of this study was to find the winning genotype(s) for the test settings in a part of the Southwest region of Nigeria, as well as to investigate the nature and extent of genotype X environment interaction (GEI) effects on Bambara groundnut (BGN) production. The experiment was carried out in four environments (two separate sites, Ibadan and Ikenne, for two consecutive years, 2018 and 2019) with ninety-five BGN accessions. According to the combined analysis of variance over environments, genotypes and GEI both had a substantial (p < 0.001) impact on BGN yield. The results revealed that BGN accessions performed differently in different test conditions, indicating that the interaction was crossover in nature. The results revealed that BGN accessions performed differently in different test conditions, indicating that the interaction was crossover in nature. To examine and show the pattern of the interaction components, biplots with the genotype main effect and genotype X environment interaction (GEI) were used. The first two PCs explained 80% of the total variation of the GGE model (i.e., G + GE) (PC1 = 48.59%, PC2 = 31.41%). The accessions that performed best in each environment based on the “which-won-where” polygon were TVSu-2031, TVSu-1724, TVSu-1742, TVSu-2022, TVSu-1943, TVSu-1892, TVSu-1557, TVSu-2060, and TVSu-2017. Among these accessions, TVSu-2017, TVSu-1557, TVSu-2060, TVSu-1892, and TVSu-1943 were among the highest-yielding accessions on the field. The adaptable accessions were TVSu-1763, TVSu-1899, TVSu-2019, TVSu-1898, TVSu-1957, TVSu-2021, and TVSu-1850, and the stable accessions were TVSu-1589, TVSu-1905, and TVSu-2048. In terms of discriminating and representativeness for the environments, Ibadan 2019 is deemed to be a superior environment. The selected accessions are recommended as parental lines in breeding programs for grain yield improvement in Ibadan or Ikenne or similar agro-ecological zones.

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“…In addition, the history of modern selection is poorly documented, with most selective breeding efforts focusing on improving yield and drought tolerance within landraces without the benefit of genomic or marker-assisted selection [ 28 , 29 , 30 , 31 ]. Breeding is often limited by the availability of systematic multi-location, multi-year trialling data that may resolve issues such as yield instability [ 32 ] and photoperiod sensitivity [ 33 ]. To date, little emphasis has been placed on identifying traits that may predict yield stability [ 32 ], or on resolving the relative contribution of genotype (G), environment (E), and interactions (GxE) on yield traits [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

“…Breeding is often limited by the availability of systematic multi-location, multi-year trialling data that may resolve issues such as yield instability [ 32 ] and photoperiod sensitivity [ 33 ]. To date, little emphasis has been placed on identifying traits that may predict yield stability [ 32 ], or on resolving the relative contribution of genotype (G), environment (E), and interactions (GxE) on yield traits [ 34 ]. Biomass growth rate, pod fill period, 100-seed weight, number of pods per plant, and time to flowering have been identified as traits that may play important roles in the improvement of grain yield and yield stability [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

Development of Selection Indices for Improvement of Seed Yield and Lipid Composition in Bambara Groundnut (Vigna subterranea (L.) Verdc.)

Halimi

Raymond

Barkla

et al. 2021

Foods

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The underutilised grain legume bambara groundnut (Vigna subterranea) has the potential to contribute significantly to nutritional security. However, the lack of commercial cultivars has hindered its wider adoption and utilisation as a food source. The development of competitive cultivars is impeded by (1) lack of systematic data describing variation in nutritional composition within the gene pool, and (2) a poor understanding of how concentrations of different nutritional components interact. In this study, we analysed seed lipid and protein concentration and lipid composition within a collection of 100 lines representing the global gene pool. Seed protein and lipid varied over twofold with a normal distribution, but no significant statistical correlation was detected between the two components. Seed lipid concentration (4.2–8.8 g/100 g) is primarily determined by the proportion of oleic acid (r2 = 0.45). Yield and composition data for a subset of 40 lines were then used to test selection parameters for high yielding, high lipid breeding lines. From five selection indices tested using 15 scenarios, an index based on the seed number, seed weight, and oleic acid yielded a > 50% expected increase in each of the mean values of seed number, pod dry weight, seed dry weight, and seed size, as well as an expected 7% increase in seed lipid concentration.

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Selection criteria for grain yield and stability in bambara groundnut (Vigna subterranean(L) Verdc) landraces

Cited by 9 publications

References 16 publications

Genetic Diversity for Agro-Nutritional Traits in African Landraces of Vigna subterranean Germplasm

Genetic Diversity for Agro-Nutritional Traits in African Landraces of Vigna subterranean Germplasm

GGE Biplot Analysis of Genotype × Environment Interaction and Yield Stability in Bambara Groundnut

Development of Selection Indices for Improvement of Seed Yield and Lipid Composition in Bambara Groundnut (Vigna subterranea (L.) Verdc.)

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