4.7 Article

Multi-environment Evaluations Across Ecological Regions Reveal That the Kernel Oil Content of Cottonseed Is Equally Determined by Genotype and Environment

期刊

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 70, 期 8, 页码 2529-2544

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.1c07082

关键词

Gossypium hirsutum; kernel oil content; GxE interaction; climate factor; stability

资金

  1. National Natural Science Foundation of China [32070560, 31621005]
  2. Natural Science Foundation of Xinjiang Uygur Autonomous Region [2021D01B114]
  3. Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences, China Agriculture Research System of MOF and MARA, Central Public-interest Scientific Institution Basal Research Fund (CN) [1610162021044]
  4. Scientific and Technological Talents Innovation Project Corps Cotton Germplasm Resources Research And Innovation Team [2020CB005]

向作者/读者索取更多资源

This study dissects the phenotype of kernel oil content (KOC) and the genotype-by-environment interaction factors using 250 recombinant inbred lines, parental cultivars, and CCRI70. The analysis reveals the significant contributions of genotype and environment to KOC accumulation and provides insight into the effects of genotype, environment, and genotype-environment interaction on KOC performance and stability. Additionally, the study identifies meteorological and geographical factors that explain a large portion of KOC variance.
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.

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