GGE bipot analysis of genotype x environment interaction in rice (oryza sativa l.) genotypes in Bangladesh

2015 ◽  
Vol 12 (1) ◽  
2020 ◽  
Vol 47 (3) ◽  
pp. 240-247
Author(s):  
Elvita Dwi Jayaningsih ◽  
Willy Bayuardi Suwarno ◽  
Anggi Nindita ◽  
Dan Hajrial Aswidinnoor

Breeding rice for heavy panicle is prospective to improve production. However, the information on genotype x environment interaction (GxE) of rice panicle morphology is limited. This study was aimed to evaluate the GxE interaction on panicle morphology of heavy panicle rice (Oryza sativa L.) genotypes. The experiments were conducted in four environmental conditions. The research was conducted from December 2017 to May 2019 at the Department of Agronomy and Horticulture, IPB University, using 24 genotypes (F5-F6 generation) with 6 check varieties. The experimental design was an augmented design (3 replicates of check). Analysis of variance showed that GxE interaction effects were significant on the panicle length, number of axis nodes, primary branches number, secondary branches number, tertiary branches number, number of grains per panicle, and grain density per primary branch. The results showed that the two environments in the rainy season produced higher primary branches number, secondary branches number, tertiary branches number, number of grain per panicle, and grain density per primary branch than the two environments in the dry season. Correlation and path analyses showed that panicle length, number of secondary branches, and grain density per primary branch had a significant and direct positive effect on the number of grains per panicle. Keywords: primary branches, panicle length, secondary branches, tertiary branches


Author(s):  
K. Rukmini Devi ◽  
V. Venkanna ◽  
N. Lingaiah ◽  
K. Rajendra Prasad ◽  
B. Satish Chandra ◽  
...  

The aim of the study was to determine the genotype x environment interaction and stability performance of fifteen rice hybrids in three different production seasons during 2016, 2017 at Regional Agricultural Research Station, Warangal, Telangana.  Data was subjected to the additive mean effects and multiplicative interaction (AMMI) analysis, results indicated that significant genotype x environmental interaction (GEI) influenced the relative ranking of the hybrids across the seasons. It was evident from AMMI analysis that first two principal components accounted for 94.09%, which is enough to explain the variability among the hybrids. The hybrids, G9 (WGRH 18), G8 (WGRH-17) and G12 (WGRH-22) and G3 (WGRH-10), exhibited high grain yield. The AMMI 2 biplot revealed that the rice genotype, G15 (WGL-14), close to the origin indicated non sensitive nature of this genotype with the seasons and highly stable genotype across the environments with low yield potential when compared to hybrids. Whereas the rice hybrids, G9 (WGRH-18), G8 (WGRH-17), G3 (WGRH-10) and G5 (WGRH-14), were also close proximity to origin and have limited interaction with the seasons. The rice hybrid, G9 (WGRH-18), has high mean yield with stable performance over three environments being the overall best can be considered for the release after through conformation.


2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu

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


2011 ◽  
Vol 39 (1) ◽  
pp. 220 ◽  
Author(s):  
Adesola L. NASSIR ◽  
Omolayo J. ARIYO

Twelve rice varieties were cultivated in inland hydromorphic lowland over a four year-season period in tropical rainforest ecology to study the genotype x environment (GxE) interaction and yield stability and to determine the agronomic and environmental factors responsible for the interaction. Data on yield and agronomic characters and environmental variables were analyzed using the Additive Main Effect and Multiplicative Interaction (AMMI), Genotype and Genotype x Environment Interaction, GGE and the yield stability using the modified rank-sum statistic (YSi). AMMI analysis revealed environmental differences as accounting for 47.6% of the total variation. The genotype and GxE interaction accounted for 28.5% and 24% respectively. The first and second interaction axes captured 57% and 30% of the total variation due to GXE interaction. The analysis identified ‘TOX 3107’ as having a combination of stable and average yield. The GGE captured 85.8%of the total GxE. ‘TOX 3226-53-2-2-2’ and ‘ITA 230’ were high yielding but adjudged unstable by AMMI. These two varieties along with ‘WITA 1’ and ‘TOX 3180-32-2-1-3-5’ were identified with good inland swamp environment, which is essentially moisture based. The two varieties (‘TOX 3226-53-2-2-2’ and ‘ITA 230’), which were equally considered unstable in yield by the stability variance, ?2i, were selected by YSi in addition to ‘TOX 3107’, ‘WITA 1’, ‘IR 8’ and ‘M 55’. The statistic may positively complement AMMI and GGE in selecting varieties suited to specific locations with peculiar fluctuations in environmental indices. Correlation of PC scores with environmental and agronomic variables identified total rainfall up to the reproductive stage, variation in tillering ability and plant height as the most important factors underlying the GxE interaction. Additional information from the models can be positively utilized in varietal development for different ecologies.


2020 ◽  
Vol 20 (sup3) ◽  
pp. S1829-S1844
Author(s):  
William Viera ◽  
Beatriz Brito ◽  
Eddie Zambrano ◽  
Lenin Ron ◽  
Jorge Merino ◽  
...  

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