Genotype × Environment interaction using AMMI and MTSI analysis for growth and yield attributes of radish (Raphanus sativus L.) under high temperature stress conditions of North Indian plains

Dhand, Amit; Garg, Naveen

doi:10.1016/j.scienta.2023.111880

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…Thus, the GYT biplot based on these traits helps in identification of genotypes DSG-29 (G-3), followed by DSG-7 (G-2) and DSGVRL-18 (G-6) as the most stable and ideal to combine a high level of yield along with other important traits like ToLCNDV resistance, earliness, and more number of fruits per plant under disease incidence. MGIDI is an innovative approach, which has proven to be highly effective in numerous breeding programs, paving the way for more efficient and successful selection strategies ( Nelimor et al., 2020 ; Pour-Aboughadareh et al., 2021 ; Nardino et al., 2022 ; Yue et al., 2022a , b ; Dhand and Garg, 2023 ; Memon et al., 2023 ; Singamsetti et al., 2023 ). According to MGIDI index values, genotypes DSG-29 (G-3), DSG-7 (G-2), and DSGVRL-18 (G-6) have higher mean performance and desirable selection gains for yield-attributing traits and resistance to ToLCNDV .…”

Section: Discussionmentioning

confidence: 99%

Identification of new stable resistant sources and assessing agro-morphological performance of sponge gourd germplasm against Tomato Leaf curl New Delhi Virus incidence

Singh,

Munshi,

Singh

et al. 2024

Front. Plant Sci.

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Tomato leaf curl New Delhi virus (TolCNDV) causes yellow mosaic disease, which poses a significant biotic constraint for sponge gourd cultivation, potentially resulting in crop loss of up to 100%. In the present investigation, 50 diverse genotypes were screened for 3 years under natural epiphytotic conditions. A subset of 20 genotypes was further evaluated across four different environments. The combined analysis of variance revealed a significant genotype × environment interaction. Eight genotypes consistently exhibited high and stable resistance in the preliminary screening and multi-environment testing. Furthermore, genotype plus genotype × environment interaction biplot analysis identified DSG-29 (G-3), DSG-7 (G-2), DSG-6 (G-1), and DSGVRL-18 (G-6) as the desirable genotypes, which have stable resistance and better yield potential even under diseased conditions. The genotype by yield × trait biplot analysis and multi-trait genotype–ideotype distance index analysis further validated the potential of these genotypes for combining higher yield and other desirable traits with higher resistance levels. Additionally, resistant genotypes exhibited higher activities of defense-related enzymes as compared to susceptible genotypes. Thus, genotypes identified in our study will serve as a valuable genetic resource for carrying out future resistance breeding programs in sponge gourd against ToLCNDV.

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Section: Discussionmentioning

confidence: 99%

Identification of new stable resistant sources and assessing agro-morphological performance of sponge gourd germplasm against Tomato Leaf curl New Delhi Virus incidence

Singh,

Munshi,

Singh

et al. 2024

Front. Plant Sci.

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“…The method emerged as a powerful tool to identify the genotypes with better mean performance and desired SGs and also to estimate the strengths and weaknesses of hybrids (selected/ unselected). The multi-trait selection index (MTSI) and MGIDI evaluation systems are novel and unique techniques that have many practical applications in plant breeding practices (Nelimor et al, 2020;Benakanahalli et al, 2021;Koundinya et al, 2021;Pour-Aboughadareh et al, 2021;Hadou el hadj et al, 2022;Yue et al, 2022a;Yue et al,2022b;Nardino et al, 2022;Dhand and Garg, 2023;Memon et al, 2023). The multi-trait frameworks and MGIDI and MTSI indices follow a similar rescaling process to retain the unchanged correlation structure of original data and to identify the superior genotypes with respect to multiple traits simultaneously (Olivoto et al, 2019b).…”

Section: Figurementioning

confidence: 99%

Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection

et al. 2023

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Unpredictable weather vagaries in the Asian tropics often increase the risk of a series of abiotic stresses in maize-growing areas, hindering the efforts to reach the projected demands. Breeding climate-resilient maize hybrids with a cross-tolerance to drought and waterlogging is necessary yet challenging because of the presence of genotype-by-environment interaction (GEI) and the lack of an efficient multi-trait-based selection technique. The present study aimed at estimating the variance components, genetic parameters, inter-trait relations, and expected selection gains (SGs) across the soil moisture regimes through genotype selection obtained based on the novel multi-trait genotype–ideotype distance index (MGIDI) for a set of 75 tropical pre-released maize hybrids. Twelve traits including grain yield and other secondary characteristics for experimental maize hybrids were studied at two locations. Positive and negative SGs were estimated across moisture regimes, including drought, waterlogging, and optimal moisture conditions. Hybrid, moisture condition, and hybrid-by-moisture condition interaction effects were significant (p ≤ 0.001) for most of the traits studied. Eleven genotypes were selected in each moisture condition through MGIDI by assuming 15% selection intensity where two hybrids, viz., ZH161289 and ZH161303, were found to be common across all the moisture regimes, indicating their moisture stress resilience, a unique potential for broader adaptation in rainfed stress-vulnerable ecologies. The selected hybrids showed desired genetic gains such as positive gains for grain yield (almost 11% in optimal and drought; 22% in waterlogging) and negative gains in flowering traits. The view on strengths and weaknesses as depicted by the MGIDI assists the breeders to develop maize hybrids with desired traits, such as grain yield and other yield contributors under specific stress conditions. The MGIDI would be a robust and easy-to-handle multi-trait selection process under various test environments with minimal multicollinearity issues. It was found to be a powerful tool in developing better selection strategies and optimizing the breeding scheme, thus contributing to the development of climate-resilient maize hybrids.

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A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics

Kirch,

Spitti,

Chiorato

et al. 2024

Journal of Computational and Graphical Statistics

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Genotype × Environment interaction using AMMI and MTSI analysis for growth and yield attributes of radish (Raphanus sativus L.) under high temperature stress conditions of North Indian plains

Cited by 3 publications

References 25 publications

Identification of new stable resistant sources and assessing agro-morphological performance of sponge gourd germplasm against Tomato Leaf curl New Delhi Virus incidence

Identification of new stable resistant sources and assessing agro-morphological performance of sponge gourd germplasm against Tomato Leaf curl New Delhi Virus incidence

Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection

A Multi-Attribute Evaluation of Genotype-Environment Experiments Using Biplots and Joint Plots Graphics

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