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Plant Physiol. 2017 Mar;173(3):1554-1564. doi: 10.1104/pp.16.01516. Epub 2017 Jan 30.

High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth.

Zhang X1,2, Huang C1,2, Wu D1,2, Qiao F1,2, Li W1,2, Duan L1,2, Wang K1,2, Xiao Y1,2, Chen G1,2, Liu Q1,2, Xiong L1,2, Yang W3,4, Yan J3,4.

Author information

1
National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (X.Z., F.Q., W.L., Y.X., L.X., W.Y., J.Y.), College of Engineering (C.H., D.W., L.D., K.W., W.Y.), and Ministry of Agriculture Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River (G.C.), Huazhong Agricultural University, Wuhan 430070, People's Republic of China; and.
2
Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, and Key Laboratory of the Ministry of Education for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China (Q.L.).
3
National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (X.Z., F.Q., W.L., Y.X., L.X., W.Y., J.Y.), College of Engineering (C.H., D.W., L.D., K.W., W.Y.), and Ministry of Agriculture Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River (G.C.), Huazhong Agricultural University, Wuhan 430070, People's Republic of China; and ywn@mail.hzau.edu.cn yjianbing@mail.hzau.edu.cn.
4
Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, and Key Laboratory of the Ministry of Education for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China (Q.L.) ywn@mail.hzau.edu.cn yjianbing@mail.hzau.edu.cn.

Abstract

With increasing demand for novel traits in crop breeding, the plant research community faces the challenge of quantitatively analyzing the structure and function of large numbers of plants. A clear goal of high-throughput phenotyping is to bridge the gap between genomics and phenomics. In this study, we quantified 106 traits from a maize (Zea mays) recombinant inbred line population (n = 167) across 16 developmental stages using the automatic phenotyping platform. Quantitative trait locus (QTL) mapping with a high-density genetic linkage map, including 2,496 recombinant bins, was used to uncover the genetic basis of these complex agronomic traits, and 988 QTLs have been identified for all investigated traits, including three QTL hotspots. Biomass accumulation and final yield were predicted using a combination of dissected traits in the early growth stage. These results reveal the dynamic genetic architecture of maize plant growth and enhance ideotype-based maize breeding and prediction.

PMID:
28153923
PMCID:
PMC5338669
DOI:
10.1104/pp.16.01516
[Indexed for MEDLINE]
Free PMC Article

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