AUTHOR=Wang Runfeng , Wang Hailian , Huang Shaoming , Zhao Yingxing , Chen Erying , Li Feifei , Qin Ling , Yang Yanbing , Guan Yan’an , Liu Bin , Zhang Huawen TITLE=Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses JOURNAL=Frontiers in Plant Science VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2023.1261323 DOI=10.3389/fpls.2023.1261323 ISSN=1664-462X ABSTRACT=
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 (