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Genotype × environment interaction and stability analysis for seed yield and yield components in sesame (Sesamum indicum L.) in Benin Republic using AMMI, GGE biplot and MTSI

Increasing production requires the development of high yielding cultivars adapted to various environments. Multi-environment trials (MET) remains the best approach to assess the performance of accessions across environments. The objective of this study was to select the best performing and stable ac...

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Autores principales: Azon, Christel Ferréol, Fassinou Hotegni, Vodjo Nicodème, Sogbohossou, Dêêdi Eurydice Olga, Gnanglè, Lewis Spencer, Bodjrenou, Guillaume, Adjé, Charlotte O., Dossa, Komivi, Agbangla, Clément, Quenum, Florent J.B., Achigan-Dako, Enoch G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681942/
https://www.ncbi.nlm.nih.gov/pubmed/38034689
http://dx.doi.org/10.1016/j.heliyon.2023.e21656
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author Azon, Christel Ferréol
Fassinou Hotegni, Vodjo Nicodème
Sogbohossou, Dêêdi Eurydice Olga
Gnanglè, Lewis Spencer
Bodjrenou, Guillaume
Adjé, Charlotte O.
Dossa, Komivi
Agbangla, Clément
Quenum, Florent J.B.
Achigan-Dako, Enoch G.
author_facet Azon, Christel Ferréol
Fassinou Hotegni, Vodjo Nicodème
Sogbohossou, Dêêdi Eurydice Olga
Gnanglè, Lewis Spencer
Bodjrenou, Guillaume
Adjé, Charlotte O.
Dossa, Komivi
Agbangla, Clément
Quenum, Florent J.B.
Achigan-Dako, Enoch G.
author_sort Azon, Christel Ferréol
collection PubMed
description Increasing production requires the development of high yielding cultivars adapted to various environments. Multi-environment trials (MET) remains the best approach to assess the performance of accessions across environments. The objective of this study was to select the best performing and stable accessions of sesame across different environments in Benin Republic. Nineteen sesame accessions were evaluated across eight environments using a randomized complete block design with four replicates. The accessions were evaluated for three traits: days to 50% flowering (D50F), thousand-seed weight (TSW), and seed yield (SY) during 2020 growing season. The stable and top-performing accessions across environments were determined using AMMI (Additive main effects and multiplicative interaction), GGE (Genotype main effect and genotype × environment interaction), and MTSI (Multi-trait stability index). AMMI analysis of variance showed a significant difference across environments for the three traits. The accessions were affected by environmental conditions for the three traits. The broad-sense heritability estimates were high (>0.60) for all the traits, indicating the improvement is achievable through selection. AMMI1 and AMMI2 biplots identified G10 and G13 as high seed yielding accessions adapted to environments E1, E2. The GGE biplot showed two mega-environments for TSW and three mega-environments for D50F and SY. For SY, G11 and G13 were the best accessions in the first mega-environment, G10 the best accession in the second mega-environment; G3 and G8 were the best accessions in the third mega-environment. AMMI and GGE analyses identified G10, G5, G12 as high seed yielding and stable accessions across environments. GGE biplot revealed that E1 and E2 were the most suitable environments for multi-location trials based on their discriminating ability and representativeness. MTSI indicated G10, G13, G19 as promising germplasm to be recommended for breeding program.
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spelling pubmed-106819422023-11-30 Genotype × environment interaction and stability analysis for seed yield and yield components in sesame (Sesamum indicum L.) in Benin Republic using AMMI, GGE biplot and MTSI Azon, Christel Ferréol Fassinou Hotegni, Vodjo Nicodème Sogbohossou, Dêêdi Eurydice Olga Gnanglè, Lewis Spencer Bodjrenou, Guillaume Adjé, Charlotte O. Dossa, Komivi Agbangla, Clément Quenum, Florent J.B. Achigan-Dako, Enoch G. Heliyon Research Article Increasing production requires the development of high yielding cultivars adapted to various environments. Multi-environment trials (MET) remains the best approach to assess the performance of accessions across environments. The objective of this study was to select the best performing and stable accessions of sesame across different environments in Benin Republic. Nineteen sesame accessions were evaluated across eight environments using a randomized complete block design with four replicates. The accessions were evaluated for three traits: days to 50% flowering (D50F), thousand-seed weight (TSW), and seed yield (SY) during 2020 growing season. The stable and top-performing accessions across environments were determined using AMMI (Additive main effects and multiplicative interaction), GGE (Genotype main effect and genotype × environment interaction), and MTSI (Multi-trait stability index). AMMI analysis of variance showed a significant difference across environments for the three traits. The accessions were affected by environmental conditions for the three traits. The broad-sense heritability estimates were high (>0.60) for all the traits, indicating the improvement is achievable through selection. AMMI1 and AMMI2 biplots identified G10 and G13 as high seed yielding accessions adapted to environments E1, E2. The GGE biplot showed two mega-environments for TSW and three mega-environments for D50F and SY. For SY, G11 and G13 were the best accessions in the first mega-environment, G10 the best accession in the second mega-environment; G3 and G8 were the best accessions in the third mega-environment. AMMI and GGE analyses identified G10, G5, G12 as high seed yielding and stable accessions across environments. GGE biplot revealed that E1 and E2 were the most suitable environments for multi-location trials based on their discriminating ability and representativeness. MTSI indicated G10, G13, G19 as promising germplasm to be recommended for breeding program. Elsevier 2023-10-31 /pmc/articles/PMC10681942/ /pubmed/38034689 http://dx.doi.org/10.1016/j.heliyon.2023.e21656 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Azon, Christel Ferréol
Fassinou Hotegni, Vodjo Nicodème
Sogbohossou, Dêêdi Eurydice Olga
Gnanglè, Lewis Spencer
Bodjrenou, Guillaume
Adjé, Charlotte O.
Dossa, Komivi
Agbangla, Clément
Quenum, Florent J.B.
Achigan-Dako, Enoch G.
Genotype × environment interaction and stability analysis for seed yield and yield components in sesame (Sesamum indicum L.) in Benin Republic using AMMI, GGE biplot and MTSI
title Genotype × environment interaction and stability analysis for seed yield and yield components in sesame (Sesamum indicum L.) in Benin Republic using AMMI, GGE biplot and MTSI
title_full Genotype × environment interaction and stability analysis for seed yield and yield components in sesame (Sesamum indicum L.) in Benin Republic using AMMI, GGE biplot and MTSI
title_fullStr Genotype × environment interaction and stability analysis for seed yield and yield components in sesame (Sesamum indicum L.) in Benin Republic using AMMI, GGE biplot and MTSI
title_full_unstemmed Genotype × environment interaction and stability analysis for seed yield and yield components in sesame (Sesamum indicum L.) in Benin Republic using AMMI, GGE biplot and MTSI
title_short Genotype × environment interaction and stability analysis for seed yield and yield components in sesame (Sesamum indicum L.) in Benin Republic using AMMI, GGE biplot and MTSI
title_sort genotype × environment interaction and stability analysis for seed yield and yield components in sesame (sesamum indicum l.) in benin republic using ammi, gge biplot and mtsi
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681942/
https://www.ncbi.nlm.nih.gov/pubmed/38034689
http://dx.doi.org/10.1016/j.heliyon.2023.e21656
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