Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses.
AMMI
G × E interaction
GGE biplot
grain sorghum
multi-environment trial
yield performance and stability
Journal
Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200
Informations de publication
Date de publication:
2023
2023
Historique:
received:
19
07
2023
accepted:
17
10
2023
medline:
15
11
2023
pubmed:
15
11
2023
entrez:
15
11
2023
Statut:
epublish
Résumé
Grain sorghum is an exceptional source of dietary nutrition with outstanding economic values. Breeding of grain sorghum can be slowed down by the occurrence of genotype × environment interactions (GEI) causing biased estimation of yield performance in multi-environments and therefore complicates direct phenotypic selection of superior genotypes. Multi-environment trials by randomized complete block design with three replications were performed on 13 newly developed grain sorghum varieties at seven test locations across China for two years. Additive main effects and multiplicative interaction (AMMI) and genotype + genotype × environment (GGE) biplot models were adopted to uncover GEI patterns and effectively identify high-yielding genotypes with stable performance across environments. Yield (YLD), plant height (PH), days to maturity (DTM), thousand seed weight (TSW), and panicle length (PL) were measured. Statistical analysis showed that target traits were influenced by significant GEI effects (
Identifiants
pubmed: 37965005
doi: 10.3389/fpls.2023.1261323
pmc: PMC10642804
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1261323Informations de copyright
Copyright © 2023 Wang, Wang, Huang, Zhao, Chen, Li, Qin, Yang, Guan, Liu and Zhang.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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