Comparative multimodal statistical analysis for Yield Stability in Mutant populations of Rice (Oryza sativa L.) var. ADT (R) 47

Rice is an important staple food for half of the world’s population. Genetic erosion was caused by the development of high-yielding cultivars and the extensive cultivation of these kinds. Mutation breeding is promising not only for creating and utilizing the new variability but also an indispensable approach through which yield might be improved without altering the existing desirable characters. Induced mutations, have offered a single and short alternative to conventional breeding that includes isolation, screening, selection and testing generation after generation. A multi-model approach employing BLUP-based simultaneous selection, to assess the stability and performance of ADT 47 mutants genotypes with respect to the grain yield was performed. All members of the AMMI (Additive Main Effects and Multiplicative Interaction) family were less accurate than BLUP (Best linear unbiased prediction). BLUP approach involved the estimation of Harmonic mean of genotypic values (HMGV) which is used to infer both yield and stability, Relative performance of genotypic values (RPGV) involved in the estimation of mean yield and genotypic adaptability), harmonic mean of the relative performance of genotypic values (HMRPGV) tangled to evaluate stability, adaptability, and yield simultaneously. Comparing all the calculated indices, mutants viz., 160-39-1, 200-30-3, 250-36-1, 200-69-1 were highly stable for plant yield along with ADT47 control variety.

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Journal
Plant Science Today
Published
2025-09-24
DOI
https://doi.org/10.14719/pst.8430
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
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article

Comparative multimodal statistical analysis for Yield Stability in Mutant populations of Rice (Oryza sativa L.) var. ADT (R) 47

Aravindan Shanmugam, K. Baghyalakshmi, K. Veni, T. Radhamani et al.
Plant Science Today
Rice Cultivation and Yield Improvement
article

Comparative multimodal statistical analysis for Yield Stability in Mutant populations of Rice (Oryza sativa L.) var. ADT (R) 47

Aravindan Shanmugam, K. Baghyalakshmi, K. Veni, T. Radhamani, B Muralidharan, A. Priyanka, M. Umadevi, Vellaichamy Gandhimeyyan Renganathan, D. Sassikumar
article en

Abstract

Rice is an important staple food for half of the world’s population. Genetic erosion was caused by the development of high-yielding cultivars and the extensive cultivation of these kinds. Mutation breeding is promising not only for creating and utilizing the new variability but also an indispensable approach through which yield might be improved without altering the existing desirable characters. Induced mutations, have offered a single and short alternative to conventional breeding that includes isolation, screening, selection and testing generation after generation. A multi-model approach employing BLUP-based simultaneous selection, to assess the stability and performance of ADT 47 mutants genotypes with respect to the grain yield was performed. All members of the AMMI (Additive Main Effects and Multiplicative Interaction) family were less accurate than BLUP (Best linear unbiased prediction). BLUP approach involved the estimation of Harmonic mean of genotypic values (HMGV) which is used to infer both yield and stability, Relative performance of genotypic values (RPGV) involved in the estimation of mean yield and genotypic adaptability), harmonic mean of the relative performance of genotypic values (HMRPGV) tangled to evaluate stability, adaptability, and yield simultaneously. Comparing all the calculated indices, mutants viz., 160-39-1, 200-30-3, 250-36-1, 200-69-1 were highly stable for plant yield along with ADT47 control variety.

Plant Science Today
Tamil Nadu Agricultural University (IN), Central Institute for Cotton Research (IN), Tamil Nadu Horticulture University (IN), Mississippi State University (US)
Openalex Percentile: Top 81%
Rice Cultivation and Yield Improvement
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Comparative multimodal statistical analysis for Yield Stability in Mutant populations of Rice (Oryza sativa L.) var. ADT (R) 47 — Aravindan Shanmugam, K. Baghyalakshmi, et al. · Plant Science Today (2025) | TGRS Research Map | TGRS