Genotype × Environment Interaction for Yield and Associated Traits in Rice

Rаhmаn, Аziz Ur; Shah, Syed Mehar Ali

doi:10.17582/journal.sja/2019/35.2.532.538

Cited by 4 publications

(5 citation statements)

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“…Variance due to environment plus interaction of genotype and environment and pooled deviation (nonlinear) were significant for grain yield per plant indicating presence of variation in the mean performance of all genotypes over environments i.e., differential behaviour of the genotypes under different environments except lysine content in kernel protein, tryptophan content in kernel protein and protein content in kernel. These findings are in consistent with Deshpande and Dalvi (2006), Panwar et al, (2008), Ramya and Senthilkumar (2008) and Krishnappa et al, (2009). The pooled analysis of variance revealed that genotype x environment (linear) interactions were highly significant for a character i.e., grain yield per plant implying differential response of genotypes under six locations for the character, Similar reports were earlier made by Panwar et al, (2008) and Ramya and Senthilkumar (2008).The genotype x environment (linear) interactions for the remaining 3 characters i.e., lysine content in kernel protein, tryptophan content in kernel protein and protein content in kernel were non-significant.…”

Section: Resultssupporting

confidence: 90%

“…These findings are in consistent with Deshpande and Dalvi (2006), Panwar et al, (2008), Ramya and Senthilkumar (2008) and Krishnappa et al, (2009). The pooled analysis of variance revealed that genotype x environment (linear) interactions were highly significant for a character i.e., grain yield per plant implying differential response of genotypes under six locations for the character, Similar reports were earlier made by Panwar et al, (2008) and Ramya and Senthilkumar (2008).The genotype x environment (linear) interactions for the remaining 3 characters i.e., lysine content in kernel protein, tryptophan content in kernel protein and protein content in kernel were non-significant. Therefore, further analysis of stability was not carried out for these 3 characters.…”

Section: Resultssupporting

confidence: 90%

See 1 more Smart Citation

Genotype x Environment Interaction and Stability Analysis for Yield and Quality Traits in QPM (Zea mays L.)

Kumari¹,

Singh²,

Nirala³

et al. 2020

Int.J.Curr.Microbiol.App.Sci

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Section: Resultssupporting

confidence: 90%

Section: Resultssupporting

confidence: 90%

Genotype x Environment Interaction and Stability Analysis for Yield and Quality Traits in QPM (Zea mays L.)

Kumari¹,

Singh²,

Nirala³

et al. 2020

Int.J.Curr.Microbiol.App.Sci

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“…This result is supported by the studies of Olukolu et al [48] and Gbaguidi et al [49]. Various studies have shown the GEI effect on several crops such as cassava [50], rice [51,52], sweet potato [53], and sorghum [54]. Yan and Kang [19] stated that the number of genotypes and environments determines the extent of environmental variation.…”

Section: Gge Biplot Analysismentioning

confidence: 63%

GGE Biplot Analysis of Genotype × Environment Interaction and Yield Stability in Bambara Groundnut

et al. 2021

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In plant breeding and agricultural research, biplot analysis has become an important statistical technique. The goal of this study was to find the winning genotype(s) for the test settings in a part of the Southwest region of Nigeria, as well as to investigate the nature and extent of genotype X environment interaction (GEI) effects on Bambara groundnut (BGN) production. The experiment was carried out in four environments (two separate sites, Ibadan and Ikenne, for two consecutive years, 2018 and 2019) with ninety-five BGN accessions. According to the combined analysis of variance over environments, genotypes and GEI both had a substantial (p < 0.001) impact on BGN yield. The results revealed that BGN accessions performed differently in different test conditions, indicating that the interaction was crossover in nature. The results revealed that BGN accessions performed differently in different test conditions, indicating that the interaction was crossover in nature. To examine and show the pattern of the interaction components, biplots with the genotype main effect and genotype X environment interaction (GEI) were used. The first two PCs explained 80% of the total variation of the GGE model (i.e., G + GE) (PC1 = 48.59%, PC2 = 31.41%). The accessions that performed best in each environment based on the “which-won-where” polygon were TVSu-2031, TVSu-1724, TVSu-1742, TVSu-2022, TVSu-1943, TVSu-1892, TVSu-1557, TVSu-2060, and TVSu-2017. Among these accessions, TVSu-2017, TVSu-1557, TVSu-2060, TVSu-1892, and TVSu-1943 were among the highest-yielding accessions on the field. The adaptable accessions were TVSu-1763, TVSu-1899, TVSu-2019, TVSu-1898, TVSu-1957, TVSu-2021, and TVSu-1850, and the stable accessions were TVSu-1589, TVSu-1905, and TVSu-2048. In terms of discriminating and representativeness for the environments, Ibadan 2019 is deemed to be a superior environment. The selected accessions are recommended as parental lines in breeding programs for grain yield improvement in Ibadan or Ikenne or similar agro-ecological zones.

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“…Trait variability facilitates trait-assisted selection of best lines for improvement (Moradi et al, 2019;Dewi et al, 2020). Various studies have shown GEI effect on several crops, such as Rice (Rahman and Shah, 2019;Calayugan et al, 2020), sweet potato (Ngailo et al, 2019), and Sorghum (Jiang et al, 2020). Yan and Kang (2003) stated that the number of genotypes and environments determines the extent of environmental variation.…”

Section: Discussionmentioning

confidence: 99%

Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut

et al. 2021

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Bambara groundnut (BGN) is a drought-tolerant crop majorly cultivated in sub-Saharan Africa. Due to a lack of extensive research, marginalization, lack of awareness, and lack of available fund among others, this crop's improvement has been limited. The development of this crop depends on evaluation and selection of unique and stable breeding lines in different environments. This study aims to estimate genetic diversity using morphological traits at different locations in 95 accessions of BGN collected from the Genebank of the International Institute of Tropical Agriculture (IITA), Ibadan. The experiment was carried out in three replicates at IITA experimental sites in two agroecological zones in Ibadan (7°40′19.62″ N, 3°91′73.13″ E) and Ikenne (6°51′00.873″ N, 3°41′48.528″ E) using a randomized complete block design. Ten vegetative growth traits and eight yield traits were scored. The data was subjected to ANOVA, PCA, correlation, and cluster analysis. Estimations of genetic parameters and broad sense heritability were carried out on the traits. ANOVA revealed significant variation in each trait except for days to emergence. Significant variation was also observed for accession and location interactions (genotype x environment interactions) for plant height, leaf length, leaf width, chlorophyll content, number of petioles, germination count, number of pods, number of seeds, seed length, seed width, and yield. PC1 and PC2 show 42.3% of the total variations observed by the PC, with seed thickness contributing more to PC1 and the number of seeds contributing more to PC2. Cluster analysis categorized the accessions into four distinct groups. The number of pods had the highest genotypic coefficient of variation of 32.55% and the phenotypic coefficient of variation of 97.61%, while seed length (0.63), seed width (0.54), and seed thickness (0.58) have high heritability values. The genetic advance was highest in yield (76.15%) and lowest in days to 50% germination (0.21%). This study can be used to predict appropriate agroecological zones for the planting of BGN while the knowledge of the diversity of the accessions based on the traits could serve a guide in selecting the best trait for the improvement of the crop.

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Genotype × Environment Interaction for Yield and Associated Traits in Rice

Cited by 4 publications

References 0 publications

Genotype x Environment Interaction and Stability Analysis for Yield and Quality Traits in QPM (Zea mays L.)

Genotype x Environment Interaction and Stability Analysis for Yield and Quality Traits in QPM (Zea mays L.)

GGE Biplot Analysis of Genotype × Environment Interaction and Yield Stability in Bambara Groundnut

Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut

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