Genetic analysis of the seed dehydration process in maize based on a logistic model

Publication date: Available online 20 October 2019Source: The Crop JournalAuthor(s): Shuangyi Yin, Jun Liu, Tiantian Yang, Pengcheng Li, Yang Xu, Huimin Fang, Shuhui Xu, Jie Wei, Lin Xue, Derong Hao, Zefeng Yang, Chenwu XuAbstractSeed moisture at harvest is a critical trait affecting maize quality and mechanized production, and is directly determined by the dehydration process after physiological maturity. However, the dynamic nature of seed dehydration leads to inaccurate evaluation of the dehydration process by conventional determination methods. Seed dry weight and fresh weight were recorded at 14 time points after pollination in a recombinant inbred line (RIL) population derived from two inbred lines with contrasting seed dehydration dynamics. The dehydration curves of RILs were determined by fitting trajectories of dry weight accumulation and dry weight/fresh weight ratio change based on a logistic model, allowing the estimation of eight characteristic parameters that can be used to describe dehydration features. Quantitative trait locus (QTL) mapping, taking these parameters as traits, was performed using multiple methods. Single-trait QTL mapping revealed 76 QTL associated with dehydration characteristic parameters, of which the phenotypic variation explained (PVE) was 1.03% to 15.24%. Multiple-environment QTL analysis revealed 21 related QTL with PVE ranging from 4.23% to 11.83%. Multiple-trait QTL analysis revealed 58 QTL, including 51 pleiotropic QTL. Combining thes...
Source: The Crop Journal - Category: Food Science Source Type: research