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Research paper | Open Access

Multi-environment QTL mapping of crown root traits in a maize RIL population

Pengcheng Lia,b, Yingying Fana, Shuangyi Yina, Yunyun Wanga, Houmiao Wanga,b, Yang Xua,b, Zefeng Yanga,b,c( ), Chenwu Xua,b,c( )
Jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou 225009, Jiangsu, China
Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, Jiangsu, China
Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, Jiangsu, China

Peer review under responsibility of Crop Science Society of China and Institute of Crop Science, CAAS.

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Abstract

Crown root traits, including crown root angle (CRA), diameter (CRD), and number (CRN), are major determining factors of root system architecture, which influences crop production. In maize, the genetic mechanisms determining crown root traits in the field are largely unknown. CRA, CRD, and CRN were evaluated in a recombinant inbred line population in three field trials. High phenotypic variation was observed for crown root traits, and all measured traits showed significant genotype–environment interactions. Single-environment (SEA) and multi-environment (MEA) quantitative trait locus (QTL) analyses were conducted for CRA, CRD, and CRN. Of 46 QTL detected by SEA, most explained less than 10% of the phenotypic variation, indicating that a large number of minor-effect QTL contributed to the genetic component of these traits. MEA detected 25 QTL associated with CRA, CRD, and CRN, and 2 and 1 QTL were identified with significant QTL-by-environment interaction effects for CRA and CRD, respectively. A total of 26.1% (12/46) of the QTL identified by SEA were also detected by MEA, with many being detected in more than one environment. These findings contribute to our understanding of the phenotypic and genotypic patterns of crown root traits in different environments. The identified environment-specific QTL and stable QTL may be used to improve root traits in maize breeding.

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The Crop Journal
Pages 645-654

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Cite this article:
Li P, Fan Y, Yin S, et al. Multi-environment QTL mapping of crown root traits in a maize RIL population. The Crop Journal, 2020, 8(4): 645-654. https://doi.org/10.1016/j.cj.2019.12.006

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Received: 23 September 2019
Revised: 17 November 2019
Accepted: 20 February 2020
Published: 20 March 2020
© 2020 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).