Evaluation of genotype x environment interaction using GGE-biplot on dry beans(Phaseolus vulgaris L.) in Limpopo province of South Africa

Mathobo, Rudzani; Marais, D.

doi:10.21475/ajcs.17.11.05.p303

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…The AMMI model-based analyses were conducted extensively around the globe. A few references from the past and present that exhibited similar findings are being reviewed here in order to support the work conducted in this study: Bhardwaj et al (2017) , Mohammadi et al (2017) , Maqbool et al (2017) , Mathobo and Marais (2017) , Oral et al (2017) , Das et al (2018) , Erdemci (2018) , and Oral (2018) .…”

Section: Discussionsupporting

confidence: 70%

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

et al. 2021

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This study was planned with the purpose of evaluating the drought tolerance of advanced breeding lines of chickpea in natural field conditions. Two methods were employed to impose field conditions; the first: simulating drought stress by growing chickpea genotypes at five rainfed areas, with Faisalabad as the non-stressed control environment; and the second: planting chickpea genotypes in spring to simulate a drought stress environment, with winter-sowing serving as the non-stressed environment. Additive main effects and multiplicative interaction (AMMI) and generalized linear models (GLM) models were both found to be equally effective in extracting main effects in the rainfed experiment. Results demonstrated that environment influenced seed yield, number of primary and secondary branches, number of pods, and number of seeds most predominantly; however, genotype was the main source of variation in 100 seed weight and plant height. The GGE biplot showed that Faisalabad, Kallur Kot, and Bhakkar were contributing the most in the GEI, respectively, while Bahawalpur, Bhawana, and Karor were relatively stable environments, respectively. Faisalabad was the most, and Bhakkar the least productive in terms of seed yield. The best genotypes to grow in non-stressed environments were CH39/08, CH40/09, and CH15/11, whereas CH28/07 and CH39/08 were found suitable for both conditions. CH55/09 displayed the best performance in stress conditions only. The AMMI stability and drought-tolerance indices enabled us to select genotypes with differential performance in both conditions. It is therefore concluded that the spring-sown experiment revealed a high-grade drought stress imposition on plants, and that the genotypes selected by both methods shared quite similar rankings, and also that manually computed drought-tolerance indices are also comparable for usage for better genotypic selections. This study could provide sufficient evidence for using the aforementioned as drought-tolerance evaluation methods, especially for countries and research organizations who have limited resources and funding for conducting multilocation trials, and performing sophisticated analyses on expensive software.

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Section: Discussionsupporting

confidence: 70%

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

et al. 2021

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“…According to PARAMESH et al (2016), the simple correlation analysis describes the relation between two variables. Conversely, the multivariate analysis has the advantage of simultaneously using all the variables to interpret the dataset, which is the reason why it has been used in studies about different cultures (ATNAF et al, 2017;FARID et al, 2017;MATHOBO & MARAIS, 2017).…”

Section: Introductionmentioning

confidence: 99%

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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Calibration and validation of the SWB model for dry beans (Phaseolus vulgaris L.) at different drought stress levels

Mathobo

Marais

Steyn

2018

Agricultural Water Management

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Evaluation of genotype x environment interaction using GGE-biplot on dry beans(Phaseolus vulgaris L.) in Limpopo province of South Africa

Cited by 7 publications

References 23 publications

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

The GT biplot analysis of green bean traits

Calibration and validation of the SWB model for dry beans (Phaseolus vulgaris L.) at different drought stress levels

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