Evaluation of Genotype × Environment Interaction in Rice Based on AMMI Model in Iran

Sharifi, Peyman; Aminpanah, Hashem; Erfani, Rahman; Mohaddesi, Ali; Abbasian, A.

doi:10.1016/j.rsci.2017.02.001

Cited by 85 publications

(55 citation statements)

References 24 publications

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“…Mean yield performance along with rank of genotypes across environments indicated that the genotypes have high variation around the mean yield. This result is similar to result obtained by Sharifi et al (2017). In this research, the portioning of G x E interaction through GGE biplot analysis showed that PC1 and PC2 accounted for 59.57% and 36.84% of GGE sum of squares, respectively, and explained 96.41% of the total variance (Figure 1, Figure 2).…”

Section: Stability Analysissupporting

confidence: 89%

Genotype × environment interaction and grain yield stability in Chinese hybrid rice

et al. 2020

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Multi-environment testing helps to identify stable genotypes. The objective of this study was to evaluate Chinese hybrid rice varieties for their grain yield and yield stability at different environments. The multilocation rice evaluation trials were conducted during summer seasons of 2017 and 2018 at five different environments, namely, Hardinath (Dhanusha), Kabre (Dolakha), Parwanipur (Bara), Khumaltar (Lalitpur) and Dhakaltar (Tanahun) in Nepal. Four hybrid rice varieties namely LPNBR1618, LPNBR1615, LPNBR1628 and LPNBR1632 (Standard check variety) were evaluated in a randomized complete block design with four replications in each location. The results indicated a significant (p<0.05) variation in grain yield among the genotypes at Hardinath, Khumaltar, and Kabre whereas they were non-significant for grain yield at Dhakaltar and Parwanipur. The combined analysis of variance indicated significant (p<0.05) effects of environment and genotype × environment (G x E) interactions on grain yield. The pooled data over locations and years showed that LPNBR1632 produced the highest grain yield (7.5 tons/ ha) followed by LPNBR 1618 (6.3 tons/ ha) in terai region (Hardinath and Parwanipur). Similarly, LPNBR1618 gave the highest grain yield (10.3 tons/ ha) followed by LPNBR1615 (9.5 tons/ ha) in mid hills region (Kabre, Khumaltar and Lumle). The genotypes LPNBR1615 (b=1.13), LPNBR1618 (b=1.19) and LPNBR1628 (b=1.15) had more than unity regression indicating the genotype's suitability towards favorable environments. GGE biplot showed genotype LPNBR1615 was stable genotype among all genotypes. This study suggests that LPNBR 1615 can be grown for higher grain yield production in terai and mid hills of Nepal.

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Section: Stability Analysissupporting

confidence: 89%

Genotype × environment interaction and grain yield stability in Chinese hybrid rice

et al. 2020

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“…The traits, including the plant height, grain length, total grain weight number per plant, grain yield, and the content of protein, amylose, and lipids, were reported to be sensitively affected by the environment [31]. Additionally, the evaluation of the interaction between the genotype and the environment was important for the improvement of agronomic traits in crops [33,34]. In this study, slight and inconsistent correlations between the phenotypic traits of mutants were identified in the two years (Table 3), which might be due to the interaction between the genotypes and their environments [32], as well as influences of the environment, such as the climate and soil [32,35].…”

Section: Discussionmentioning

confidence: 99%

Mutation Breeding of a N-methyl-N-nitrosourea (MNU)-Induced Rice (Oryza sativa L. ssp. Indica) Population for the Yield Attributing Traits

et al. 2019

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Difficulties in breeding new rice cultivars that have a high yield, are acceptable quality, and are tolerant to environmental stresses have been the major constraint of rice production in many developing countries, as these traits are determined by multiple genes associated with complicated and uncontrollable gene segregations.Furthermore, the gene/QTL (quantitative trait locus) introduced to the cultivar is unstable due to the interaction among the active genes, which determine the phenotypic performance, not yet been well understood or controllable. In this study, the N-methyl-N-nitrosourea (MNU)-induced mutation was applied to the heterozygote of the F1 generation from the cross between TBR1 (female) and KD18 (male parent). The phenotype and genotype of the M2 and M3 generations were evaluated and showed that the mutant population phenotypes, including the plant height, semi-dwarfism, amylose content, protein content, gel consistency, grain yield, and spikelet fertility, varied. Interestingly, no segregation among the genotypes in the M2 and M3 generations was observed, while the genotypes of the control population were either paternally inherited or indeterminable when using 28 polymorphism simple sequence repeat (SSR) markers that were identified on parental lines from 200 markers. The MNU-induced mutation caused maternal inheritance in the segregating populations, as primarily important agronomic traits were maternally succeeded from the female line TBR1. The findings of this study indicated that, through the use of MNU, the breeding of rice cultivars with close genetic backgrounds (similarity coefficient = 0.52) could be shortened by the maternal control of important qualities, such as pest and disease resistance and high yield, thus contributing to sustainable rice production for rice farmers. Further examination of rice cultivars with a greater difference in the genetic background should be subsequently conducted.

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“…The grain yield, the final product of any crop, is determined by the genotypic potential (G), environmental effect (E) and the genotype x environment (GE) interaction (Yan and Kang 2002). In case of an effect of the GE interaction, the selection of genotypes based on the mean yield is inadequate (Sharifi et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models

Singh

Gupta

et al. 2019

Crop Breed. Appl. Biotechnol.

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Evaluation of Genotype × Environment Interaction in Rice Based on AMMI Model in Iran

Cited by 85 publications

References 24 publications

Genotype × environment interaction and grain yield stability in Chinese hybrid rice

Genotype × environment interaction and grain yield stability in Chinese hybrid rice

Mutation Breeding of a N-methyl-N-nitrosourea (MNU)-Induced Rice (Oryza sativa L. ssp. Indica) Population for the Yield Attributing Traits

Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models

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