Genotype × environment interactions of yield of cowpea (Vigna unguiculata (L.) Walp) inbred lines in the Guinea and Sudan Savanna ecologies of Ghana

Owusu, Emmanuel Yaw; Amegbor, Isaac Kodzo; Haruna, Mohammed; Kusi, Francis; Atopkle, Ibrahim; Sie, Emmanuel Kofi; Ishahku, Memunatu; Zakaria, M.; Iddrisu, S.; Kendey, Haruna Ali; Boukar, Ousmane; Fatokun, Christian; Nutsugah, S. K.

doi:10.1007/s12892-020-00054-5

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…Zobel et al (1988) stated that AMMI with the rst two multiplicative terms was the best predictive model. In this study, the high (45.47%) and signi cant contribution of IPCA1 to the total variation across the tested environments implies that IPCA1 could identify stable and unstable genotypes based on the value scores or nearest or furthest to zero, which is in line with the ndings of previous investigations (Muranaka et al, 2016;Shegro et al, 2020;Simion, 2018;Yaw et al, 2020). The positive and negative IPCA scores of genotypes in AMMI analysis are the best indicators of stability or adaptation over environments.…”

Section: Discussionsupporting

confidence: 90%

Genotype by Environment Interaction and Grain Yield Stability of Drought Tolerant Cowpea landraces in Ethiopia

Mekonnen

Mekbib

Amsalu

et al. 2021

Preprint

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Cowpea is one of the most important indigenous food and forage legumes in Africa. It serves as a primary source of protein for poor farmers in drought-prone areas of Ethiopia. The crop is used as a source of food, and insurance crop during the dry season. Cowpea is adaptable to a wide range of climatic conditions. Despite this, the productivity of the crop is generally low due to lack of stable and drought tolerant varieties. In this study, 25 cowpea genotypes were evaluated in five environments using a triple lattice design during the 2017 and 2018 main cropping seasons. The objectives of this study were to estimate the magnitude of genotype by environment interaction (GEI) and grain yield stability of selected drought tolerant cowpea genotypes across different environments. The additive main effect and multiplicative interaction (AMMI) model indicated the contribution of environment, genotype and GEI as 63.98 6%, 2.66% and 16.30% of the total variation for grain yield, respectively. The magnitudes of the GEI sum of squares were 6.12 times that of the genotypes for grain yield. The IPCA1, IPCA2 and IPCA3 were all significant and explained 45.47%, 28.05% and 16.59% of the GEI variation, respectively. The results from AMMI, cultivar superior measure (Pi), genotype plus genotype-by-environment (GGE) biplot yield stability index (YSI), and AMMI stability value (ASV) analyses identified NLLP-CPC-07-145-21, NLLP-CPC-103-B and NLLP_CPC-07-54 as stable and high yielding genotypes across environments. Thus, these genotypes should be recommended for release for production for drought prone areas. NLLP-CPC-07-143, Kanketi and CP-EXTERETIS were the least stable. The AMMI1 biplot showed that Jinka was a high potential and favorable environment while Babile was an unfavorable environment for cowpea production.

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Section: Discussionsupporting

confidence: 90%

Genotype by Environment Interaction and Grain Yield Stability of Drought Tolerant Cowpea landraces in Ethiopia

Mekonnen

Mekbib

Amsalu

et al. 2021

Preprint

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“…This could be attributable to the use of low-yielding varieties, incidence of pests, diseases, and inadequate agronomic practices [ 5 ]. Although the international and national cowpea improvement programs have developed and released several improved cowpea varieties, there is still the need to develop more varieties which are resilient to current climatic challenges to maximize gain on farmer field [ 8 ]. Efforts to increase the threshold of cowpea yields in West Africa, particularly Ghana, require the identification of superior parental genotypes and understanding of the genetics of the crop as well as traits of economic importance.…”

Section: Introductionmentioning

confidence: 99%

Diallel Analysis and Heritability of Grain Yield, Yield Components, and Maturity Traits in Cowpea (Vigna unguiculata(L.) Walp.)

Owusu

Haruna

Amadu

et al. 2020

The Scientific World Journal

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Information on combining ability and reciprocal effects (REC) facilitates efficient utilization of genetic materials in a breeding program. This study was conducted (at the CSIR-Savanna Agricultural Research Institute, Ghana) to determine general combining ability (GCA) and specific combining ability (SCA), heritability, genetic advance, GCA, and SCA effects as well as the relationship between parents per se performance and progenies for yield components and maturity traits in cowpea. The test populations were derived using a 5 × 5 complete diallel cross of parents with different yield attributes and maturity durations. The results indicated that GCA was predominant for number of days to 90% pod maturity, plant height at maturity, and hundred-seed weight. This showed that genes with additive effects conditioned these traits. Padi-Tuya, Songotra, and IT86D-610 were identified as good general combiners for grain yield, while Sanzi-Nya was identified as a general combiner for developing extra-early duration cowpea varieties. Crosses Songotra × Sanzi-Nya, SARC-1-57-2 × IT86D-610, Songotra × SARC-1-57-2, and Padi-Tuya × Songotra were identified as good specific combiners for days to 50% flowering, pod length, pods per plant, pod yield, grain yield, and seeds per pod. The findings from this study provide useful information on the inheritance of early maturity and yield traits in cowpea. This can be exploited to develop high yielding and early maturing cowpea varieties as climate smart strategy to mitigate climate change via breeding methods such as pedigree selection and marker assisted backcrossing (MABC). Pedigree selection method is being used to develop varieties from the hybrid with high and significant SCA for grain yield, whereas the development of extra-early duration varieties via MABC with Sanzi-Nya (general combiner for earliness traits) as a donor parent is ongoing.

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“…In literature, large magnitude of G × E interactions have been observed in cowpea (Olayiwola et al, 2015;Tariku et al, 2018;Horn et al, 2018;Odeseye et al, 2018;Sousa et al, 2018;Owusu et al, 2020) and other crop species (Baraki et al, 2020;Verma et al, 2020). The variations among the present genotypes may be due to genotype and environment factors because in most cases, different genotypes won in different environments.…”

Section: Tablementioning

confidence: 87%

Genotype × environment interaction and adaptation of cowpea genotypes across six planting seasons

Ajayi

Gbadamosi

Osekita

et al. 2022

Frontiers in Life Sciences and Related Technologies

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Cowpea exhibits significantly inconsistent performances across different environments, and hence demands performance evaluation of genotypes prior release or cultivation in every breeding program. Hence, the goal of this study was to compare 16 cowpea genotypes over six planting seasons (2014)(2015)(2016)(2017)(2018)(2019) in Akungba-Akoko, Nigeria for their stability and adaptation through Finlay and Wilkinson (FW), Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype and Genotype × Environment (GGE) analyses. ANOVA revealed high significant genotype (15.33%), environment (14.71%) and GEI (64.34%) effects for seed yield among genotypes. All analyses were able to pinpoint stable high-yielding genotypes including G14 and G9. Genotypes G14, G3, G4, G5, G6 and G9 were high yielding and stable according to FW; AMMI showed G10, G9, G16, G14 and G13 stable high-yielding while GGE showed G14, G16, G9 and G13 as stable high-yielding. As analyses explored the variation in the data due to GEI, they also complemented one another, in that where one erroneously included a wrong genotype as stable; the other excluded such genotype, making recommendation possible on the basis of consistency to gain reliability.

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Genotype × environment interactions of yield of cowpea (Vigna unguiculata (L.) Walp) inbred lines in the Guinea and Sudan Savanna ecologies of Ghana

Cited by 7 publications

References 23 publications

Genotype by Environment Interaction and Grain Yield Stability of Drought Tolerant Cowpea landraces in Ethiopia

Genotype by Environment Interaction and Grain Yield Stability of Drought Tolerant Cowpea landraces in Ethiopia

Diallel Analysis and Heritability of Grain Yield, Yield Components, and Maturity Traits in Cowpea (Vigna unguiculata(L.) Walp.)

Genotype × environment interaction and adaptation of cowpea genotypes across six planting seasons

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