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Identification of QTL regions for seedling root traits and their effect on nitrogen use efficiency in wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.)
Authors:" target="_blank">Xiaoli Fan  Wei Zhang  Na Zhang  Mei Chen  Shusong Zheng  Chunhua Zhao  Jie Han  Jiajia Liu  Xilan Zhang  Liqiang Song  Jun Ji  Xigang Liu  Hongqing Ling  Yiping Tong  Fa Cui  Tao Wang  Junming Li
Institution:1.Chengdu Institute of Biology,Chinese Academy of Sciences,Chengdu,China;2.Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Shijiazhuang,China;3.Genetic Improvement Centre of Agricultural and Forest Crops, College of Agriculture,Ludong University,Yantai,China;4.State Key Laboratory of Plant Cell and Chromosome Engineering,Chinese Academy of Sciences,Beijing,China
Abstract:

Key message

QTL for a wheat ideotype root system and its plasticity to nitrogen deficiency were characterized.

Abstract

Root system architecture-related traits (RRTs) and their plasticity to nitrogen availability are important for nitrogen acquisition and yield formation in wheat (Triticum aestivum L.). In this study, quantitative trait loci (QTL) analysis was conducted under different nitrogen conditions, using the seedlings of 188 recombinant inbred lines derived from a cross between Kenong 9204 and Jing 411. Fifty-three QTL for seven RRTs and fourteen QTL for the plasticity of these RRTs to nitrogen deficiency were detected. Thirty of these QTL were mapped in nine clusters on chromosomes 2B, 2D, 3A, 3D, 6B, 6D, 7A and 7B. Six of these nine clusters were also colocated with loci for nitrogen use efficiency (NUE)-related traits (NRTs). Among them, three QTL clusters (C2B, C6D and C7B) were highlighted, considering that they individually harbored three stable robust QTL (i.e., QMrl-2B.1, QdRs-6D and QMrl-7B). C2B and C7B stably contributed to the optimal root system, and C6D greatly affected the plasticity of RRTs in response to nitrogen deficiency. However, strong artificial selection was only observed for C7B in 574 derivatives of Kenong 9204. Covariance analysis identified QMrl-7B as the major contributor in C7B that affected the investigated NRTs in mature plants. Phenotypic analysis indicated that thousand kernel weight might represent a “concomitant” above-ground trait of the “hidden” RRTs controlled by C7B, which are used for breeding selection. Dissecting these QTL regions with potential breeding value will ultimately facilitate the selection of donor lines with both high yield and NUE in wheat breeding programs.
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