Affiliation:
1. College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650500, China
2. Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
Abstract
A comprehensive study on maize flowering traits, focusing on the regulation of flowering time and the elucidation of molecular mechanisms underlying the genes controlling flowering, holds the potential to significantly enhance our understanding of the associated regulatory gene network. In this study, three tropical maize inbreds, CML384, CML171, and CML444, were used, along with a temperate maize variety, Shen137, as parental lines to cross with Ye107. The resulting F1s underwent seven consecutive generations of self-pollination through the single-seed descent (SSD) method to develop a multiparent population. To investigate the regulation of maize flowering time-related traits and to identify loci and candidate genes, a genome-wide association study (GWAS) was conducted. GWAS analysis identified 556 SNPs and 12 candidate genes that were significantly associated with flowering time-related traits. Additionally, an analysis of the effect of the estimated breeding values of the subpopulations on flowering time was conducted to further validate the findings of the present study. Collectively, this study offers valuable insights into novel candidate genes, contributing to an improved understanding of maize flowering time-related traits. This information holds practical significance for future maize breeding programs aimed at developing high-yielding hybrids.
Funder
Xingdian Talent Support Program of Yunnan Province
National Natural Science Foundation of China
Seed Industry Joint Laboratory Project of Yunnan Province
Reference73 articles.
1. IPCC (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Chang, Cambridge University Press.
2. Weakened Maize Phenological Response to Climate Warming in China over 1981–2018 Due to Cultivar Shifts;Luo;Adv. Clim. Change Res.,2022
3. Warming Reduces Global Agricultural Production by Decreasing Cropping Frequency and Yields;Zhu;Nat. Clim. Change,2022
4. On the Risk Characteristics and Management of Dry Climate Disasters in the Context of Climate Warming;Zhang;Adv. Earth Sci.,2014
5. The research of the assessment method of drought for the impact on agriculture in the northwest-the spring corn in Gansu Province;Wang;Adv. Meteorol. Sci. Technol.,2013