G×E Interaction Analysis by Ammi Model for Fodder Yield of Dual Purpose Barley Genotypes

Verma, Ajay; Kumar, V. Jagadeesh; Kharab, A.S.

doi:10.23910/ijbsm/2020.11.1.2064

Cited by 4 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interestingly, the most stable genotype (G43) for SYp also showed higher stability for 100‐seed weight, whereas genotypes G94 and G81 had desirable PHmat with greater stability. Many researchers evaluated barley genotypes across environments and also utilized AMMI stability parameters for the identification of stable genotypes (Vaezi et al., 2017; Verma et al., 2020). In sorghum, Hailemariam and Tesfaye (2019) reported that results from ASV and YSI were somewhat different because of the relative contribution of IPCA and mean yield performance.…”

Section: Resultsmentioning

confidence: 99%

Adaptation of oat genotypes in organic and conventionally managed fields in the northwestern Himalayas

Sanadya,

Sood,

Sharma

et al. 2024

Agronomy Journal

View full text Add to dashboard Cite

Developing stable and high‐yielding crop varieties is crucial for sustainable agriculture. The present study investigated genotype × environment interactions (GEIs) in 96 oat (Avena sativa L.) genotypes across five environments (year–production system combinations) using an alpha lattice design. Additive main effect and multiplicative interaction (AMMI) analysis revealed significant genotype, environment, and GEI effects on the studied traits. The oat genotypes were grouped into four distinct clusters and even genotypes from the same source were grouped into different clusters, indicating a wide range of diversity. Stability indices have highlighted genotypes coded as G33, G4, and G5 as the most stable across environments. Specifically, concerning seed yield, the AMMI analysis identified G33, G4, G5, and G82 as highly stable genotypes. Moreover, the study observed specific adaptations, such as G29 in E1 (conventional system 2019–2020), G76 in E3 (conventional system 2020–2021), and G54 and G77 in E4 (organic system 2020–2021). The genotype and genotype × environment (GGE) biplot analysis unveiled that environment E3 (conventional system 2020–2021) emerged as the ideal environment, demonstrating the highest level of representativeness and discrimination. By utilizing the polygon view of the GGE biplot, the presence of two distinct mega‐environments (MEs; ME1 and ME2) was revealed in relation to seed yield. Within these MEs, genotypes coded as G2 and G38 in ME1 and G20, G72, G85, and G89 in ME2 exhibited specific adaptations. Furthermore, genotypes coded as G89, G95, and G82 exhibited both stability and high mean seed yield. By combining stability indices, AMMI, and GGE biplots, widely adapted genotypes have the potential to promote sustainable agricultural practices.

show abstract

Section: Resultsmentioning

confidence: 99%

Adaptation of oat genotypes in organic and conventionally managed fields in the northwestern Himalayas

Sanadya,

Sood,

Sharma

et al. 2024

Agronomy Journal

View full text Add to dashboard Cite

show abstract

“…

Wide use of AMMI model, hybrid of additive and multiplicative components, to separates the additive variance from the multiplicative variance and application of principal component analysis (PCA) to the interaction portion (Gauch, 2013; Bocianowski et al, 2019;Verma et al, 2020). This analysis has been proved to be an effective process to captures a large portion of the GxE interaction sum of squares, thereby separating main and interaction effects (Jeberson et al, 2017; Ajay et al., 2019).

…”

mentioning

confidence: 99%

Combining AMMI and Mean Yield of Wheat Genotypes Evaluated under Rainfed Conditions of Northern Hills Zone for Stability Analysis

Verma¹,

Singh²

2020

IJBSM

Self Cite

View full text Add to dashboard Cite

Highly significant effects of environment (E), GxE interaction and genotypes (G) observed by AMMI analysis during 2018-19 and 2019-20 study years. WAASB measure ranked suitability of UP 3039, VL 2035 and VL 2036 genotypes. Superiority index while weighting 0.65 and 0.35 for yield and stability found VL 2036, HS 668 and UP 3039 as of stable performance with high yield. PRVG and MHPRVG measures observed suitability of HS 668, HS 562 and HS 669 wheat genotypes. More over the average yield of genotypes ranked HS 668, VL 2036 and HS 669 as of order of choice. Mostly indirect relations of SI measure were observed with stability measures along with positive values for MHPRVG, PRVG and yield. WAASB measure exhibited significant indirect relationships with other measures except of moderate positive with SI, yield, MHPRVG and PRVG measures. For the second year of study WAASB measure ranked suitability of HS676, UP3064 and HS677 genotypes. Superiority index while weighting 0.65 and 0.35 for yield and stability found VL2041, HS675 and HS562 as of stable performance with high yield. PRVG and MHPRVG measures observed suitability of VL2041, HS675 and HPW470 wheat genotypes. More over the average yield of genotypes ranked VL2041, HS675 and HS507 as of order of choice. Mostly negative values were exhibited by SI measure with stability measures apart of direct with MHPRVG, PRVG and yield. WAASB measure exhibited direct relationships with other stability measures except of indirect relations with SI, yield, MHPRVG and PRVG.

show abstract

Genotype-by-Environment Interaction Effect on Sweet Potato (Ipomoea Batatas L.) Root Yield and its Adaptation of Diverse Agro-Ecology

Alam,

Akter,

Khan

et al. 2023

Preprint

View full text Add to dashboard Cite

G×E Interaction Analysis by Ammi Model for Fodder Yield of Dual Purpose Barley Genotypes

Cited by 4 publications

References 0 publications

Adaptation of oat genotypes in organic and conventionally managed fields in the northwestern Himalayas

Adaptation of oat genotypes in organic and conventionally managed fields in the northwestern Himalayas

Combining AMMI and Mean Yield of Wheat Genotypes Evaluated under Rainfed Conditions of Northern Hills Zone for Stability Analysis

Genotype-by-Environment Interaction Effect on Sweet Potato (Ipomoea Batatas L.) Root Yield and its Adaptation of Diverse Agro-Ecology

Contact Info

Product

Resources

About