Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach

In order to ensure an ongoing and long-term breeding progress of soybean, stable sources of major quality traits across multi-environments need to be identified. Here, a panel of 135 soybean genotypes was tested in three different Chinese environments, including Beijing, Anhui, and Hainan during the...

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Autores principales:	Ahmed M. Abdelghany, Shengrui Zhang, Muhammad Azam, Abdulwahab S. Shaibu, Yue Feng, Jie Qi, Jing Li, Yanfei Li, Yu Tian, Huilong Hong, Sobhi F. Lamlom, Bin Li, Junming Sun
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	MTSI multi-environment soybean seed compositions WAASB Agriculture S
Acceso en línea:	https://doaj.org/article/03ed735664ed444e97be1df5db51b2dd
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spelling	oai:doaj.org-article:03ed735664ed444e97be1df5db51b2dd2021-11-25T16:06:26ZExploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach10.3390/agronomy111122002073-4395https://doaj.org/article/03ed735664ed444e97be1df5db51b2dd2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2200https://doaj.org/toc/2073-4395In order to ensure an ongoing and long-term breeding progress of soybean, stable sources of major quality traits across multi-environments need to be identified. Here, a panel of 135 soybean genotypes was tested in three different Chinese environments, including Beijing, Anhui, and Hainan during the 2017 and 2018 growing seasons to identify stable genotypes for cultivation under varying environmental conditions. The weighted average of absolute scores biplot (WAASB) for the best linear unbiased predictions of the genotype-environment interaction and multi-trait stability index (MTSI) were utilized to determine the stability of the soybeans for seven seed composition traits viz; protein content, oil content, and five fatty acids (palmitic, stearic, oleic, linoleic, and linolenic acids). Based on the WAASB index, the following genotypes were identified as stable genotypes for some specific traits; ZDD12828 and ZDD12832 for protein content, WDD01583 and WDD03025 for oil content, ZDD23040 for palmitic acid, WDD00033 for stearic acid, ZDD23822 for oleic acid, ZDD11183 for linoleic acid, and ZDD08489 for linolenic acid. Furthermore, based on MTSI at a selection intensity of 10%, 14 soybean genotypes were selected for their average performance and stability. Overall, the MTSI was shown to be a powerful and simple tool for identifying superior genotypes in terms of both performance and stability, hence, identifying stable soybean genotypes for future breeding programs of quality traits.Ahmed M. AbdelghanyShengrui ZhangMuhammad AzamAbdulwahab S. ShaibuYue FengJie QiJing LiYanfei LiYu TianHuilong HongSobhi F. LamlomBin LiJunming SunMDPI AGarticleMTSImulti-environmentsoybeanseed compositionsWAASBAgricultureSENAgronomy, Vol 11, Iss 2200, p 2200 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MTSI multi-environment soybean seed compositions WAASB Agriculture S
spellingShingle	MTSI multi-environment soybean seed compositions WAASB Agriculture S Ahmed M. Abdelghany Shengrui Zhang Muhammad Azam Abdulwahab S. Shaibu Yue Feng Jie Qi Jing Li Yanfei Li Yu Tian Huilong Hong Sobhi F. Lamlom Bin Li Junming Sun Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach
description	In order to ensure an ongoing and long-term breeding progress of soybean, stable sources of major quality traits across multi-environments need to be identified. Here, a panel of 135 soybean genotypes was tested in three different Chinese environments, including Beijing, Anhui, and Hainan during the 2017 and 2018 growing seasons to identify stable genotypes for cultivation under varying environmental conditions. The weighted average of absolute scores biplot (WAASB) for the best linear unbiased predictions of the genotype-environment interaction and multi-trait stability index (MTSI) were utilized to determine the stability of the soybeans for seven seed composition traits viz; protein content, oil content, and five fatty acids (palmitic, stearic, oleic, linoleic, and linolenic acids). Based on the WAASB index, the following genotypes were identified as stable genotypes for some specific traits; ZDD12828 and ZDD12832 for protein content, WDD01583 and WDD03025 for oil content, ZDD23040 for palmitic acid, WDD00033 for stearic acid, ZDD23822 for oleic acid, ZDD11183 for linoleic acid, and ZDD08489 for linolenic acid. Furthermore, based on MTSI at a selection intensity of 10%, 14 soybean genotypes were selected for their average performance and stability. Overall, the MTSI was shown to be a powerful and simple tool for identifying superior genotypes in terms of both performance and stability, hence, identifying stable soybean genotypes for future breeding programs of quality traits.
format	article
author	Ahmed M. Abdelghany Shengrui Zhang Muhammad Azam Abdulwahab S. Shaibu Yue Feng Jie Qi Jing Li Yanfei Li Yu Tian Huilong Hong Sobhi F. Lamlom Bin Li Junming Sun
author_facet	Ahmed M. Abdelghany Shengrui Zhang Muhammad Azam Abdulwahab S. Shaibu Yue Feng Jie Qi Jing Li Yanfei Li Yu Tian Huilong Hong Sobhi F. Lamlom Bin Li Junming Sun
author_sort	Ahmed M. Abdelghany
title	Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach
title_short	Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach
title_full	Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach
title_fullStr	Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach
title_full_unstemmed	Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach
title_sort	exploring the phenotypic stability of soybean seed compositions using multi-trait stability index approach
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/03ed735664ed444e97be1df5db51b2dd
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Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach

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