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Updated: Jun 23, 2026

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)
Published on: June 16, 2018
QTL identification of grain protein concentration and its genetic correlation with starch concentration and grain
Yuling Li1, Yanzhao Wang, Mengguan Wei
1College of Agriculture, Henan Agricultural University, 95 Wenhua Rd, Zhengzhou, People's Republic of China. yuling_li@126.com
Abstract:
Protein is one of the three main storage chemical components in maize grains, and is negatively correlated with starch concentration (SC). Our objective was to analyse the influence of genetic backgrounds on QTL detection for protein concentration (PC) and to reveal the molecular genetic associations between PC and both SC and grain weight (GWP). Two hundred and eighty-four (Pop1) and 265 (Pop2) F(2:3) families were developed from two crosses between one high-oil maize inbred GY220 and two normal maize inbreds 8984 and 8622 respectively, and were genotyped with 185 and 173 pairs of SSR markers. PC, SC and GWP were evaluated under two environments. Composite interval mapping (CIM) and multiple interval mapping (MIM) methods were used to detect single-trait QTL for PC, and multiple-trait QTL for PC with both SC and GWP. No common QTL were shared between the two populations for their four and one PC QTL. Common QTL with opposite signs of effects for PC and SCGWP were detected on three marker intervals at bins 6.07-6.08, 8.03 and 8.03-8.04. Multiple-traits QTL mapping showed that tightly-linked QTL, pleiotropic QTL and QTL having effects with opposite directions for PC and SCGWP were all observed in Pop1, while all QTL reflected opposite effects in Pop2.
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