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QTL Mapping for Characteristic Parameters of Kernel Filling Based on an Ultra-high Density Bin Map and Logistic Model in Maize

Shuangyi Yin  Pengcheng Li  Yang Xu  Jun Liu  Tiantian Yang  Qing Teng  Jie Wei  Jiaxin Liu  Zhiyang Chen  Shuhui Xu  Junjie Yu  Zefeng Yang  Chenwu Xu  
【摘要】:Increasing grain yield is the ultimate goal for maize breeding. Kernel filling is an important dynamic trait affecting final grain yield in maize. In order to dissect the molecular basis of kernel filling and facilitate marker assisted breeding, 206 recombinant inbred lines derived from maize inbred lines DH1 M T877 were planted at Qidong, Yizheng and Sanya in 2015, 2016 and 2017 respectively. The kernel dry weight of recombinant inbred lines were measured on 10, 15, 20, 25, 30, 35, 40, 43, 46, 49, 52, 55, 58 and 61 days after pollination. Based on Logistic model, the kernel filling process of recombinant inbred lines were effectively fitted severally. Then, final growth amount, relative growth rate and half-final growth amount time et.al 12 related characteristic parameters with biological significance were estimated. The genetic linkage map of recombinant inbred lines was identified, according to 3227 bin markers achieved 56 k gene chip using genotyping-by-sequencing, of which overall length was 2387.6 c M and average spacing was 0.7 c M. QTL analysis was performed using composite interval mapping with lmem.qtler packages in R software. The results showed that there were large variations in 12 characteristic parameters of 206 recombinant inbred lines. The range of variation coefficient was from 9.53% to 45.1%, and the range of generalized heritability was from 69.3% to 79.3%, where the generalized heritability of time for first inflexion of growth rate was largest and the generalized heritability of relative growth rate of dry weight was smallest. The 126 QTLs related 12 characteristic parameters were detected through QTL analysis in three different environments, of which range of contribution rate was from 1.1% ~ 18.6%. Many QTLs with multiple effects were detected and 11 QTLs were repeatedly detected in three different environments and years, which associated with relative growth rate of dry weight, half final growth amount time, time for second inflexion of growth rate, growth duration, average growth rate and maximum growth rate, respectively. This study provides an efficient approach for detection of QTL underlying complex filling traits, and provides scientific basis for genetic improvement of filling characteristics in maize. Moreover, the thinking and methods of this study proposes a new and effective avenue for genetic study of complex dynamic developmental characters.

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