Genotype by environment interaction and stability analysis using SREG stability statistics for yield and yield attributing traits in rice

AbstractStatistical models that capture the phenotypic plasticity of a genotype across environments are crucial in plant breeding programs to potentially identify parents, generate offspring, and obtain highly productive genotypes for distinct environments. In this study, our aim is to leverage concepts of Bayesian models and probability methods of stability analysis to untangle genotype-by-environment interaction (GEI). The proposed method employs the posterior distribution obtained with the No-U-Turn sampler algorithm to get Monte Carlo estimates of adaptation and stability probabilities. We applied the proposed models in two empirical tropical datasets. Our findings provide a basis to enhance our ability to consider the uncertainty of cultivar recommendation for global or specific adaptation. We further demonstrate that probability methods of stability analysis in a Bayesian framework are a powerful tool for unraveling GEI given a defined intensity of selection that results in a more informed decision-making process towards cultivar recommendation in multi-environment trials.

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Genotype-by-environment interaction and stability analysis of soybean genotypes for yield and yield components across two locations in Nigeria

African Journal of Agricultural Research ◽

10.5897/ajar2019.14251 ◽

2019 ◽

Vol 14 (34) ◽

pp. 1943-1949

Author(s):

E. A. Jandong ◽

M. I. Uguru ◽

E. C. Okechukwu

Keyword(s):

Stability Analysis ◽

Yield Components ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Genotype By Environment ◽

Yield And Yield Components ◽

Soybean Genotypes

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Interpretation of Genotype-by-Environment Interaction for Carotenoid and Tocopherol Content in Broccoli

HortScience ◽

10.21273/hortsci.40.4.1098d ◽

2005 ◽

Vol 40 (4) ◽

pp. 1098D-1099

Author(s):

Khalid E. Ibrahim ◽

Kanta Kobira ◽

John A. Juvik

Keyword(s):

Stability Analysis ◽

Beta Carotene ◽

Genotype By Environment Interaction ◽

Tocopherol Content ◽

Alpha Tocopherol ◽

Genetic Enhancement ◽

Environment Interaction ◽

Response Patterns ◽

Genotype By Environment ◽

Risk Of Cancer

Genotype-by-environment interaction (G×E) is a fundamental concern in plant breeding since it hinders developing genotypes with wide geographical usefulness. Analysis of variance (ANOVA) has been widely used to interpret G×E, but it does not elucidate the nature and causes of the interaction. Stability analysis provides a summary of the response patterns of genotypes to different growing environments. Two classes of phytochemicals with putative health promoting activity are carotenoids and tocopherols that are relatively abundant in broccoli. Growing clinical and epidemiological evidence suggests that vegetables with enhanced levels of these phytochemicals can reduce the risk of cancer, cardiovascular, and eye diseases. The objective of this study is to have better understanding of the genetic, environmental and G×E interaction effects of these phytochemicals in broccoli to determine the feasibility of the genetic enhancement. The ANOVA and Shukla's stability test were applied to a set of data generated by the HPLC analysis of different carotenoid and tocopherol forms for six broccoli accessions grown over three environments. The ANOVA results show a significant G×E for both phytochemicals that ranged from 22.6% of the total phenotypic variation for beta-carotene to 54.0% for delta-tocopherol while the environmental effects were nonsignificant. The genotypic effects ranged from as low as 1% for alpha-tocopherol to 31.5% and 36.0% for beta-carotene and gamma-tocopherol, respectively. Stability analysis illustrated that the most stable genotype for all phytochemicals is Brigadier. The results suggest that feasibility of the genetic enhancement for major carotenoids and tocopherols. A second experiment that includes a larger set of genotypes and environments was conducted to confirm the results of this study.

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