Stability of Rice Mutant Lines By Linear Mixed Model And Suggestion A New Index Based For Yield Performance And Stability

Sharifi, Peyman; Ebadi, A.; Hallajian, Mohammad Taher

doi:10.21203/rs.3.rs-895572/v1

Cited by 3 publications

(2 citation statements)

References 32 publications

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Section: Discussionmentioning

confidence: 93%

“…The challenge of simultaneous selection for agronomic performance and yield stability has been reported by other authors in various crops using the WAASB model (weighted average of absolute scores) (Olivoto et al, 2019b;Nataraj et al, 2021;Sharifi et al, 2021). Specifically in cassava, Koundinya et al (2021) encountered a high proportion of genotypes in both Group2 and Group3, highlighting the difficulty of simultaneous selection for performance and stability when using a multi-character index on 25 cassava genotypes across four growing conditions in India.…”

Section: Selection Of Genotypes Via Mpsmentioning

confidence: 93%

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Multi-trait selection in multi-environments for performance and stability in cassava genotypes

Sampaio Filho,

Olivoto,

Campos

et al. 2023

Front. Plant Sci.

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Genotype-environment interaction (GEI) presents challenges when aiming to select optimal cassava genotypes, often due to biased genetic estimates. Various strategies have been proposed to address the need for simultaneous improvements in multiple traits, while accounting for performance and yield stability. Among these methods are mean performance and stability (MPS) and the multi-trait mean performance and stability index (MTMPS), both utilizing linear mixed models. This study’s objective was to assess genetic variation and GEI effects on fresh root yield (FRY), along with three primary and three secondary traits. A comprehensive evaluation of 22 genotypes was conducted using a randomized complete block design with three replicates across 47 distinct environments (year x location) in Brazil. The broad-sense heritability (H2) averaged 0.37 for primary traits and 0.44 for secondary traits, with plot-based heritability (hmɡ2) consistently exceeding 0.90 for all traits. The high extent of GEI variance (σɡxe2) demonstrates the GEI effect on the expression of these traits. The dominant analytic factor (FA3) accounted for over 85% of the total variance, and the communality (ɧ) surpassed 87% for all traits. These values collectively suggest a substantial capacity for genetic variance explanation. In Cluster 1, composed of remarkably productive and stable genotypes for primary traits, genotypes BRS Novo Horizonte and BR11-34-69 emerged as prime candidates for FRY enhancement, while BRS Novo Horizonte and BR12-107-002 were indicated for optimizing dry matter content. Moreover, MTMPS, employing a selection intensity of 30%, identified seven genotypes distinguished by heightened stability. This selection encompassed innovative genotypes chosen based on regression variance index (Sdi2, R2, and RMSE) considerations for multiple traits. In essence, incorporating methodologies that account for stability and productive performance can significantly bolster the credibility of recommendations for novel cassava cultivars.

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Section: Discussionmentioning

confidence: 93%

Section: Selection Of Genotypes Via Mpsmentioning

confidence: 93%

Multi-trait selection in multi-environments for performance and stability in cassava genotypes

Sampaio Filho,

Olivoto,

Campos

et al. 2023

Front. Plant Sci.

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Stability and genetic parameters for cassava yield attributes in the tropical humid region of Brazil

Sampaio Filho,

de Souza Campos,

de Oliveira

2024

Euphytica

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The performance differences in cassava genotypes arising from genotype vs. environment interactions (G × E) often lead to responses that are significantly lower than expected for selection. The objective of this study was to evaluate different stability methods, both parametric and non-parametric, such as additive main-effects and multiplicative interaction (AMMI), main effect of genotypes plus G × E (GGE), and weighted average of absolute scores (WAASB), in order to quantify the G × E in multi-environmental trials. A total of 12 genotypes were assessed across 12 environments using a completely randomized block design, with three replicates for traits such as fresh root yield (FRY) and dry matter content in the roots (DMC). The data were subjected to analysis of variance and the Scott Knott test (p < 0.05). The sum of squares (SQ) of genotypes, environment, and G × E effects were equally distributed for FRY, whereas for DMC, these effects accounted for 64.1%, 21.9%, and 13.8% of the SQ, respectively, indicating a lower environmental effect on this characteristic. Using the AMMI, GGE, and WAASB methods, genotypes with high agronomic performance and stability for FRY (BR11-34–41 and BR11-34–69) (> 32 t ha−1) and DMC (BRS Novo Horizonte, BR12-107–002, and BR11-24–156) (> 37%) were identified. The broad-sense heritability ($${h}^{2}$$ h 2 ) for FRY and DMC was estimated to be 0.45 and 0.75, respectively. Approximately 72% of the methods identified BRS Novo Horizonte as the genotype with the highest stability and performance for DMC, while 47% identified genotypes BR11-34–41 and BR11-34–69 for FRY and intermediate DMC. Genotype BR11-24–156 exhibited high static stability according to 50% of the methods. Significant correlations were observed between stability and agronomic performance across the different methods, enabling the formation of groups based on stability concepts. Additionally, it was found that two mega-environments existed for FRY, whereas DMC displayed a single mega-environment with similar patterns, indicating an absence of G × E. We identified superior genotypes that could be promoted to national performance trials to develop stable cultivars with better yield attributes in cassava.

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Stability analysis for grain yield and thousand kernel weight of durum wheat (Triticum durum Desf.) genotypes growing under semi-arid conditions

Benkadja¹,

Maamri²,

Guendouz³

et al. 2022

AST

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Abstract. The present study was carried out to select adapted and stable durum wheat (Triticum durum Desf.) genotypes for grain yield and thousand kernel weight using various stability parameters. Based on the graphical distributions between the parametric indices (Wricke’s ecovalence stability index (Wi²), environmental coefficient of variance (CVi), mean variance component (θᵢ)) and the mean grain yield of tested genotypes, the suitable genotype for the tested conditions was Mexicali 75. Further, the cultivars Oued Zenati and Bousselem were the most adapted with the highest TKW. With non-parametric index was classified genotype Mexicali 75 as the most stable with high grain yield. According to PCA analysis the genotype Altar 84 was classified in dynamic stability group with the highest grain yield in addition, cultivars Bousselem and Oued Zenati were classified in dynamic concept with the highest thousand kernel weight. The results of this study confirmed that the parametric and non-parametric methods are the suitable tools to identify the most stable durum wheat (Triticum durum Desf.) under semi-arid conditions.

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Stability of Rice Mutant Lines By Linear Mixed Model And Suggestion A New Index Based For Yield Performance And Stability

Cited by 3 publications

References 32 publications

Multi-trait selection in multi-environments for performance and stability in cassava genotypes

Multi-trait selection in multi-environments for performance and stability in cassava genotypes

Stability and genetic parameters for cassava yield attributes in the tropical humid region of Brazil

Stability analysis for grain yield and thousand kernel weight of durum wheat (Triticum durum Desf.) genotypes growing under semi-arid conditions

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