Yield adaptability and stability of semi-erect cowpea genotypes in the Northeast
            region of Brazil by REML/BLUP

Rocha, M. de M.; Damasceno‐Silva, Kaesel Jackson; Menezes-Júnior, José Ângelo Nogueira de; Carvalho, H. W. L. de; Lima, João Maria Pinheiro de; Santos, João Felinto dos; Bertini, Cândida Hermínia Campos de Magalhães; Passos, Adriana Rodrigues; Morais, Otoniel Magalhães

doi:10.5935/1806-6690.20170102

Cited by 7 publications

(8 citation statements)

References 2 publications

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“…Genotype with b = 1.0 was considered as adapted to al environments, genotype with b < 1.0 was considered adapted for low yielding environments and genotype with b > 1.0 was considered as better adapted for high yielding environments, depending upon the genotype mean yield. De Rocha et al (2007a) found that TE97-321G-4, EVX-92-49E and EVX-63-10E cowpea lines were highly adaptable, but only the last one was highly predictable. The BRS Guariba cultivar as well as EVX-92-49E and TE97-321G-4 lines best expressed their genetic potential in environments of high yield.…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of components characters in cowpea (Vigna unguiculata (L.) Walp)

El-Shaieny¹,

Abdel-Ati²,

El-Damarany³

et al. 2015

J. Hortic. For.

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Section: Introductionmentioning

confidence: 99%

Stability analysis of components characters in cowpea (Vigna unguiculata (L.) Walp)

El-Shaieny¹,

Abdel-Ati²,

El-Damarany³

et al. 2015

J. Hortic. For.

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“…KSC706, KSC703, and KSC707 genotypes are the most unstable, low-yielding genotypes, and the DC370 genotype, the most stable, high-yielding genotype. Environmental stability is essential for demonstrating the reliability of genotype ordering in a given environment about the rating for the environments in question [ 32 ]. According to the AMMI2 graph, 68.1% of the data variance explained 46.4% of the first component and 21.7% to the second component.…”

Section: Discussionmentioning

confidence: 99%

Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods

et al. 2021

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The present study investigated the stability and adaptability of maize (Zea mays L.) hybrids. In this study, 12 maize hybrids were planted and examined considering the grain yield. The experiment was arranged in a randomized complete block design (RCBD) with three replications in four research stations in Iran during two crop years. The combined analysis of variance showed that genotype-environment interactions were significant at one percent probability level. The grain yield can stabilize, and hybrids with specific adaptability are recommended to each environment. Hybrids with specific adaptability can be recommended to all types of the environment. Means comparison yield of the genotypes identified DC370 as a high-yield genotype. Regarding AMMI analysis, genotype × environment interactions (GEIs) and two first components were found significant. The SC647 genotype was identified as the most stable genotype. Regarding the stability parameters, SC647 and KSC705 genotypes were selected as the most stable genotypes. From AMMI1 and AMMI2 graphs, the SC647 genotype was identified as the most stable genotype compared with other hybrids.

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“…Generally, the yield of plants is influenced by the environment (E) more than the genotype–environment interaction (GEI) and genotype (G). Different peanut lines therefore show the highest yield potential at different locations ( Tai and Hammons, 1978 ; Oliveira and Godoy, 2006 ; Kasno and Trustinah, 2015 ; De Moura et al, 2017 ). Testing plant varieties in different testing environments, where the responses would reflect the adaptability of the peanut genotypes to the inherent and persistent natural environmental factors of the different peanut production areas, provides valuable information for cultivar selection and final release ( Banterng et al, 2006 ).…”

Section: Introductionmentioning

confidence: 99%

Multilocation Yield Trials and Yield Stability Evaluation by GGE Biplot Analysis of Promising Large-Seeded Peanut Lines

et al. 2022

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The demand by industries for large-seeded peanuts is increasing in Thailand and Southeast Asia. New large-seeded peanut lines were recently developed in Thailand to respond to the demand. In this study, a multilocation yield trial was performed to identify the best genotype(s) in Thailand’s central region and investigate the genotype–environment interaction (GEI) on peanut production. Twelve promising large-seeded peanut lines and two check varieties (KU50 and KK6) were planted at 12 different planting locations during the dry and rainy seasons of 2018 and the dry season of 2019. This study found significant yield potential variability in the promising lines of peanuts evaluated at different planting locations. A combined analysis of variance presented that the environment and genotypes had a considerable impact (p < 0.001) on the pod and seed yield. The GEI showed a high impact (p < 0.01) on pod yield and an effect (p < 0.05) on seed yield. The environment presented the most significant influence on pod and seed yield variations, followed by genetics and GEI. The total variation in seed yield was 64.22%, composed of PC1 and PC2 values at 45.71% and 18.51%, respectively. The GGE biplot analysis of the yield potentials at each location indicated that KUP12BS029-1-1-3 was the ideal genotype, with a high yield potential and most stability at multilocations, followed by KUP12BS030-3-4-1 and KUP12BS030-1-4-3. These promising lines will be released as new peanut varieties in central Thailand and are recommended as parental lines in breeding programs for large-seeded and yield potential in Thailand and Southeast Asia.

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Yield adaptability and stability of semi-erect cowpea genotypes in the Northeast region of Brazil by REML/BLUP

Cited by 7 publications

References 2 publications

Stability analysis of components characters in cowpea (Vigna unguiculata (L.) Walp)

Stability analysis of components characters in cowpea (Vigna unguiculata (L.) Walp)

Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods

Multilocation Yield Trials and Yield Stability Evaluation by GGE Biplot Analysis of Promising Large-Seeded Peanut Lines

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