scholarly journals AMMI Biplot Analysis for Genotype X Environment Interaction on Yield Trait of High Fe content Lentil Genotypes in Terai and Mid-Hill Environment of Nepal

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Darai R
Keyword(s):  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Biplot Analysis ◽  
Fe Content ◽  
Yield Trait

scholarly journals Stabilitas Laju Fotosintesis dan Produktivitas Rimpang Genotipe Curcuma aeruginosa dan Curcuma zanthorrhiza

2020 ◽  
Vol 48 (1) ◽  
pp. 89-96
Author(s):  
Djarot Sasongko Hami Seno ◽  
Mohamad Rafi ◽  
Maria Bintang ◽  
Popy Asri Kurniatin ◽  
Waras Nurcholis
Keyword(s):  
Photosynthetic Rate ◽  
Antioxidant Activities ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Yield Trait ◽  
Multiple Interaction ◽  
Main Effects ◽  
Excellent Stability

Curcuma aeruginosa Roxb. rhizome is an essential herb material with significant antimicrobial, anticancer, and antioxidant activities. Thus, it is important to search for C. aeruginosa plant that has the rhizome yield trait with more excellent stability in changing environmental situations. This research aimed to evaluate the genotype x environment interaction using additive main effects and multiple interaction (AMMI) analysis for photosynthetic rate and rhizome yield of C. aeruginosa genotypes. Twenty clones of C. aeruginosa plus three control varieties of C. zanthorrhiza Roxb. were evaluated in three environments (Bogor, Cianjur, and Sukabumi) using a randomized complete block design with three replicates. The photosynthetic rate and rhizome yield showed significantly (p < 0.01) genotype x environment interaction. The AMMI2 explained 100% variability of the photosynthetic rate and rhizome yield parameters. G2, G10, G12, G13, G14, G16, G17, G19, and G20 were stable genotypes for rhizome yield based on AMMI analyses. Meanwhile, the stable genotype in photosynthetic rate recorded in G4, G5, G6, G8, G11, G13, and G14. Keywords: AMMI, genotypes, multilocation trials, pink and blue ginger, varieties

scholarly journals GGE Biplot Analysis of Genotype X Environment Interaction and Yield Stability in Bambara Groundnut

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1839
Author(s):  
Oluwaseyi Samuel Olanrewaju ◽  
Olaniyi Oyatomi ◽  
Olubukola Oluranti Babalola ◽  
Michael Abberton
Keyword(s):  
Agricultural Research ◽  
Statistical Technique ◽  
Bambara Groundnut ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Ecological Zones ◽  
Biplot Analysis ◽  
Test Conditions ◽  
Southwest Region

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.

scholarly journals Genotype X Environment Interaction of Food Barley

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype Effect ◽  
Environment Effects ◽  
Randomized Complete Block Design ◽  
Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

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