Back to Search Start Over

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

Authors :
Abdelghany, Ahmed M.
Zhang, Shengrui
Azam, Muhammad
Shaibu, Abdulwahab S.
Feng, Yue
Qi, Jie
Li, Jing
Li, Yanfei
Tian, Yu
Hong, Huilong
Lamlom, Sobhi F.
Li, Bin
Sun, Junming
Source :
Agronomy; Nov2021, Vol. 11 Issue 11, p2200, 1p
Publication Year :
2021

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734395
Volume :
11
Issue :
11
Database :
Complementary Index
Journal :
Agronomy
Publication Type :
Academic Journal
Accession number :
153788996
Full Text :
https://doi.org/10.3390/agronomy11112200