Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (&amp;lt;i&amp;gt;Sesamum indicum&amp;lt;/i&amp;gt; L.) Genotypes in Northern Ethiopia

Kindeya, Yirga Belay; Mekbib, Firew; Alle, Eyasu Abraha

doi:10.11648/j.ajls.20200805.22

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…According to the AMMI biplot analysis, the genotypes varied in their response and stability for various traits in the two diferent production systems, viz., the conventional system and the natural farming system. Te response also varied from year-to-year, as could be seen from the change in ranks of the genotypes across years as well as across production systems, as was also observed by Kindeya and coworkers [34] in sesame, Tadesse et al [35] in mustard genotypes, and Agahi et al [29] in rapeseed. Different responses of the same genotype when subjected to diferent environments (production systems-sites-years) detected the presence of G × E interactions.…”

Section: Discussionsupporting

confidence: 55%

Revelation of Genotype × Environment Interaction in Linseed (Linum usitatissimum L.) Under Conventional and Natural Farming Production Systems in the North-Western Himalayas

Thakur,

Paul,

Gautam

et al. 2023

Journal of Food Quality

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The development of superior genotypes for use in plant breeding programmes is significantly influenced by the genotype in environment (G × E) interaction. The effects of G × E complicate the improvement of linseed as an important oilseed crop. The present study aimed at assessing the G × E interaction of 30 linseed genotypes for seed yield traits and oil content under conventional and zero-budget natural farming conditions across four locations for two consecutive years (16 different environments) in the North-Western Himalayan region. The AMMI model was used to estimate G × E interaction in the present study. The highest contribution to the total variance belonged to G × E interaction (34.75%), followed by genotype main effects (34.28%). Based on the IPCA1 scores, the most stable genotypes identified with high mean performance for oil content were KL-257 and Nagarkot, and for seed yield, Giza-7 was the most promising genotype. However, genotypes KL-280, KL-285, and Giza-8 showed specific adaptation to the natural production system environments in both years for oil content at locations of Palampur, Bajaura, and Kangra, respectively. Therefore, these genotypes could be recommended specifically under the natural production system in the respective locations. However, the genotypes with stable oil content did not have stable seed yields as well. None of the genotypes that exhibited high oil content stability also exhibited good seed yield stability. In terms of the environment, Palampur was recognised as a favourable location for oil content based on the above average performance, whereas Kangra and Dhaula Kuan were found to be unfavourable locations. In terms of discriminating ability, the natural production system at Palampur showed the highest discrimination, whereas Dhaula Kuan was revealed as the least discriminating environment. These stable and high oil-yielding genotypes are valuable genetic resources for linseed breeding programs for reduced input conditions and marginal environments.

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Section: Discussionsupporting

confidence: 55%

Revelation of Genotype × Environment Interaction in Linseed (Linum usitatissimum L.) Under Conventional and Natural Farming Production Systems in the North-Western Himalayas

Thakur,

Paul,

Gautam

et al. 2023

Journal of Food Quality

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Analysis of genotype by environment interaction for dry matter yield of Urochloa spp. (Brachiaria spp.) genotypes in humid lowlands of Southwest Ethiopia

Aleme

Mengistu

Tulu

et al. 2023

Ecological Genetics and Genomics

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AMMI analysis of genotype × environment interaction on seed yield of confectionary sunflower (Helianthus annuus L.) genotypes

M S UMA,

S D NEHRU,

M S UMAR FAROOQ

et al. 2021

J. Oilseeds. Res.

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In this study, 60 confectionary sunflower genotypes were grown for three successive years during kharif 2018, 2019 and 2020 to determine the seed yield stability and adaptability over years. Yield stability and adaptability wereanalysed by combined analysis and AMMI model. The significant interaction indicated that the genotypes respond differently across the different environments. In AMMI analysis, the AMMI 1 biplot showed the genotype EC734790 exhibited highest seed yield with 22.95g and high protein content of 31.23% and low oil content of 21.15% which is favoured for confectionary type of sunflower and is stable than all other varieties over all the threesuccessive years, along with this the genotypes EC 734790, EC 734831, EC 734844 and EC 734814 had higher mean yields with high main (additive) effects. The results of the study further indicated that, the stable genotypesfor seed yield over three successive years were G54- EC 734790 (22.95g) >G55- EC 734831(19.57g) >G56- EC 734844(18.15g) >G26- EC 734814(19.38g) with the help of AMMI model of stability analysis. Hence, these genotypes would be considered as more adapted to a wide range of environments over three different years than the rest of genotypes.

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

Cited by 3 publications

References 8 publications

Revelation of Genotype × Environment Interaction in Linseed (Linum usitatissimum L.) Under Conventional and Natural Farming Production Systems in the North-Western Himalayas

Revelation of Genotype × Environment Interaction in Linseed (Linum usitatissimum L.) Under Conventional and Natural Farming Production Systems in the North-Western Himalayas

Analysis of genotype by environment interaction for dry matter yield of Urochloa spp. (Brachiaria spp.) genotypes in humid lowlands of Southwest Ethiopia

AMMI analysis of genotype × environment interaction on seed yield of confectionary sunflower (Helianthus annuus L.) genotypes

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