Multi-environment Evaluations Across Ecological Regions Reveal That the Kernel Oil Content of Cottonseed Is Equally Determined by Genotype and Environment
Jǔwǔ Gōng, Depei Kong, Liu Chang-wen, Pengtao Li, Ping Liu, Xiànghuī Xiāo, Ruixian Liu, Quánwěi Lú, Hǎihóng Shāng, Yùzhēn Shí, Jùnwén Lǐ, Qún Gě, Àiyīng Liú, Xiǎoyīng Dèng, Senmiao Fan, Jìngtāo Pān, Quanjia Chen, Yǒulù Yuán, Wànkuí Gǒng
Abstract
Cotton is the fifth-largest oil crop in the world. A high kernel oil content (KOC) and high stability are important cottonseed attributes for food security. In this study, the phenotype of KOC and the genotype-by-environment interaction factors were collectively dissected using 250 recombinant inbred lines, their parental cultivars sGK156 and 901-001, and CCRI70 across multi-environments. ANOVA and correlation analysis showed that both genotype and environment contributed significantly to KOC accumulation. Analyses of additive main effect multiplicative interaction and genotype-by-environment interaction biplot models presented the effects of genotype, environment, and genotype by environment on KOC performance and the stability of the experimental materials. Interaction network analysis revealed that meteorological and geographical factors explained 38% of the total KOC variance, with average daily rainfall contributing the largest positive impact and cumulative rainfall having the largest negative impact on KOC accumulation. This study provides insight into KOC accumulation and could direct selection strategies for improved KOC and field management of cottonseed in the future.