Genotype by Environment Interaction in Green Cowpea Analyzed via Mixed Models

Filho, José Torres; Oliveira, Christiane Noronha Gomes dos Santos; Silveira, Lindomar María da; Nunes, Glauber Henrique de Sousa; Silva, Antônio José Rodrigues da; Silva, Matheus Felipe Nogueira da

doi:10.1590/1983-21252017v30n317rc

Cited by 20 publications

(16 citation statements)

References 8 publications

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“…The significant differences between the sources of variation show the existence of differentiated behavior between genotypes, environments and genotypes in the face of environmental changes (Table 2). These results corroborate many studies evaluating bean genotypes in different regions of Brazil (Barili et al, 2015;Torres et al, 2016;Torres Filho et al, 2017).…”

Section: Discussionsupporting

confidence: 91%

Bayesian Perspective in the Selection of Bean Genotypes

Oliveira¹,

Nascimento²,

Santos³

et al. 2020

JAS

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Changes in the relative performance of genotypes have made it necessary for more in-depth investigations to be carried out through reliable analyses of adaptability and stability. The present study was conducted to compare the efficiency of different informative priors in the Bayesian method of Eberhart & Russel with frequentist methods. Fifteen black-bean genotypes from the municipalities of Belém do São Francisco and Petrolina (PE, Brazil) were evaluated in 2011 and 2012 in a randomized-block design with three replicates. Eberhart & Russel’s methodology was applied using the GENES software and the Bayesian procedure using the R software through the MCMCregress function of the MCMCpack package. The quality of Bayesian analysis differed according to the a priori information entered in the model. The Bayesian approach using frequentist analysis had greater accuracy in the estimate of adaptability and stability, where model 1 which uses the a priori information, was the most suitable to obtain reliable estimates according to the BayesFactor function. The inference, using information from previous studies, showed to be imprecise and equivalent to the linear-model methodology. In addition, it was realized that the input of a priori information is important because it increases the quality of the adjustment of the model.

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Section: Discussionsupporting

confidence: 91%

Bayesian Perspective in the Selection of Bean Genotypes

Oliveira¹,

Nascimento²,

Santos³

et al. 2020

JAS

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show abstract

“…The significant effect from the interaction between genotypes and locations showed the differentiated performance of the lines in relation to environmental changes, fact that corroborated several studies, which assessed common bean genotypes in different Brazilian regions (TORRES et al, 2016;TORRES FILHO et al, 2017).…”

Section: Resultssupporting

confidence: 85%

The GT biplot analysis of green bean traits

et al. 2018

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The green bean (Phaseolus vulgaris L.) is a nutrient-rich vegetable much appreciated; although, little studied, in Brazil. The aim of the current study was to investigate the nature of traits of interest, as well as to select plants for the green bean breeding program based on genotype vs. trait biplot analysis. The experiment followed a randomized block design, with 4 repetitions and 17 genotypes. Analysis of variance, principal component analysis and biplot charts were performed to analyze the number of pods per plant, the number of seeds per pod, the number of seeds per plant, seed weight per plant, 100-seed weight, as well as grain and pod yields. The analysis of variance showed genetic variability between genotypes. Grain yield, pod yield and seed weight per plant were highly correlated. The number of seeds per pod was negatively correlated with pod weight, grain weight and with seed weight per plant. Lines Feltrin and UENF 14-30-3 were indicated to increase gains in variables such as grain yield and pod yield.

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“…Results of the analysis of variance demonstrated significant effects for genotypes and environments suggesting the presence of genetic variability between bean lines and edaphoclimatic differences between environments, in this order ( Table 1). The significance of genotypes x environments interaction proves that the lines presented distinguished performances regarding environmental changes (Torres Filho et al, 2017). With regard to plant breeding, it is essential, for the selection of superior phenotypes, to have previous knowledge of the contribution of each of the components of variance.…”

Section: Analysis Of Variancementioning

confidence: 99%

Estimation of adaptability and stability of early strains of ‘Carioca’ and black beans (Phaseolus vulgaris) in Pernambuco State, Brazil

et al. 2020

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Low yields of early ‘Carioca’ and black bean varieties are a consequence of instability and low yield adaptability to specific growing environments. The goal of this work was to evaluate the genotype x environment interaction of early ‘Carioca’ and black bean new lines aiming at obtaining genotypes with high grain yield and good adaptability and stability. In (2012), 15 genotypes of the black group were evaluated in Ibimirim, Belém do São Francisco, and Petrolina municipalities, in Pernambuco State, Brazil; and, in (2016), 11 genotypes of early ‘Carioca’ bean were evaluated in Caruaru, Arcoverde, and Araripina municipalities, also in Pernambuco State. The experiment was conducted in a randomized block design with three replicates, and grain yield data were submitted to analysis of variance, in which means were compared by the Tukey’s test and analysis via GGE Biplot. In Arcoverde, the grain yield was greater for all early ‘Carioca’ bean genotypes, whereas, in the environment of Petrolina, there was the worst grain yield in kg ha-1 for all black bean genotypes, individually. The GGE Biplot methodology was found to be efficient in identifying genotypes with good adaptability, stability, and yield. Differences presented by the genotypes for the grain yield trait give the basis to recommend the genotypes and express the possibility of selection for genetic improvement of the species.

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Genotype by Environment Interaction in Green Cowpea Analyzed via Mixed Models

Cited by 20 publications

References 8 publications

Bayesian Perspective in the Selection of Bean Genotypes

Bayesian Perspective in the Selection of Bean Genotypes

The GT biplot analysis of green bean traits

Estimation of adaptability and stability of early strains of ‘Carioca’ and black beans (Phaseolus vulgaris) in Pernambuco State, Brazil

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