scholarly journals Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (<i>Sesamum indicum</i> L.) Genotypes in Northern Ethiopia

2020 ◽  
Vol 8 (5) ◽  
pp. 165
Author(s):  
Yirga Belay Kindeya ◽  
Firew Mekbib ◽  
Eyasu Abraha Alle
Author(s):  
N. Lingaiah ◽  
A. Sudharshanam ◽  
V. Thirumala Rao ◽  
Y. Prashant ◽  
M. Vijay Kumar ◽  
...  

The objective of this study was to determine the genotype × environment interaction (GEI) and stability performance of eight promising cotton genotypes at four agro-ecologies in Telangana State. The experimental material consisting of eight genotypes were planted in randomized block design replicating thrice in four diverse environments of Telangana state during 2017, Kharif season. The present investigation was carried out in four diverse environments of Telangana state viz. RARS, Warangal, ARS, Adilabad, ARS, Modhole and RARS, Palem (Professor Jayashankar Telangana State Agricultural University) during 2017, Kharif season. The study was conducted at four diversified agro-ecologies of Telangana State. The experimental material comprised of eight genotypes viz., WGCV-109, ADB-638, WGCV-122, Narasimha, WGCV-119, WGCV-119, Srirama, WGCV-48 and ADB 645. First pooled analysis of variance was carried out to know the significance variation in genotype x environment interaction followed by AMMI analysis for genotype x environment interaction studies. Analysis of variance was significant for environments and (G x E) components indicating the use fullness of AMMI analysis in identifying the stable genotypes.  Among the eight cotton genotypes, WGCV-109, Narasimha and ADB-645 were found to be best yielders over environments whereas the genotypes G7 (WGCV-48) and G4 (Narasimha) found to be stable. Most of the genotypes showed environment specificity. As a result, almost all of the evaluated genotypes were affected by the genotype x environment interaction effects, hence no genotype had superior performance in all environments.  


2018 ◽  
Vol 6 (2) ◽  
pp. 57-65 ◽  
Author(s):  
Fiseha Baraki ◽  
Gebrelibanos Gebremariam

The experiment for oil content analysis was conducted for two growing seasons under rainfed condition (2012-2013) in Humera and Dansha, and in a single year (2013 cropping season) in Sheraro (comprising a total of five environments). The experiment comprised of 13 sesame genotypes, laid out in a randomized complete block design of three replications with the objective of determining the magnitude of Genotype x Environment Interaction (GEI)and oil content. here was highly significant (p0.01) oil content variation based on genotypes, environments and GEI resulting 26%, 42.7 % and 30.9% of the total sum of squares for the oil content variation respectively.  The mean of the oil content was 53.9%, with genotypes G4 and G11 with the highest oil content (55.1 %) each, and G8 with the lowest oil content (51.4 %). G4 was the exceptional genotype with the highest oil content (55.1 %) and oil yield (512.9 kg/ha). Based on the Environmental Index (EI) analysis, Environments E4 and E5 were the favourable environments, while E1, E2 and E3 were unfavourable environments for sesame oil production. According to the AMMI1(Additive main effects and multiplicative interaction) bi-plot, Genotypes G4, G13 and G10 with oil the content of 55.1%, 54.7 and 54.2 respectively, were stable genotypes. On the other hand, genotypes G2, G8, G9, G3 and G1 were unstable genotypes in most of the environments. The AMMI 2 bi-plot showed that, genotypes G2, G3 and G9, with long vector length, were specifically adaptable genotypes and genotypes G10, G12, G4 and G7 with shorter vector length were widely adaptable in most of the environments for their oil content. Oil content of sesame varies highly both across years and locations.


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.


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