Integration of high-throughput phenotyping,GWAS,and predictive models reveals the genetic architecture of plant height in maize
作者机构：Biotechnology Research InstituteChinese Academy of Agricultural SciencesBeijing 100081China National Nanfan Research Institute(Sanya)Chinese Academy of Agricultural SciencesSanya 572024China Institute of Molecular Breeding for MaizeQilu Normal UniversityJinan 250200China Institute for Cellular and Molecular BiologyThe University of Texas at AustinAustinTX 78712USA Department of Molecular BiosciencesThe University of Texas at AustinAustinTX 78712USA Sanya InstituteHainan Academy of Agricultural SciencesSanya 572000China
出 版 物：《Molecular Plant》 (分子植物（英文版）)
年 卷 期：2023年第16卷第2期
页 面：354-373页
核心收录：
学科分类：0710[理学-生物学] 09[农学] 0901[农学-作物学]
基 金：supported by the National Key Research and Development Program of China(2021YFF1000301 and 2021YFF1000304) the National Natural Science Foundation of China(32172091) the National Key Research and Development Program of China(2016YFD0100103) the Fundamental Research Funds for Central Non-Profit of Chinese Academy of Agricultural Sciences(CAAS-ZDRW202109 and Y2020PT06) the Innovation Program of the Chinese Academy of Agricultural Sciences(CAAS-ZDRW202004) the 2020 Research Program of Sanya Yazhou Bay Science and Technology City(SKJC-2020-02-005) the Nanfan special project of the Chinese Academy of Agricultural Sciences(YBXM15)
主 题：phenomics GWAS plant height machine learning prediction maize
摘 要：Plant height(PH)is an essential trait in maize(Zea mays)that is tightly associated with planting density,biomass,lodging resistance,and grain yield in the *** the dynamics of maize plant architecture will be beneficial for ideotype-based maize breeding and prediction,as the genetic basis controlling PH in maize remains largely *** this study,we developed an automated high-throughput phenotyping platform(HTP)to systematically and noninvasively quantify 77 image-based traits(i-traits)and 20 field traits(f-traits)for 228 maize inbred lines across all developmental ***-resolved i-traits with novel digital phenotypes and complex correlations with agronomic traits were characterized to reveal the dynamics of maize *** i-trait-based genome-wide association study identified 4945 traitassociated SNPs,2603 genetic loci,and 1974 corresponding candidate *** found that rapid growth of maize plants occurs mainly at two developmental stages,stage 2(S2)to S3 and S5 to S6,accounting for the final PH *** integrating the PH-association network with the transcriptome profiles of specific internodes,we revealed 13 hub genes that may play vital roles during rapid *** candidate genes and novel i-traits identified at multiple growth stages may be used as potential indicators for final PH in *** candidate gene,ZmVATE,was functionally validated and shown to regulate PH-related traits in maize using genetic ***,machine learning was used to build predictive models for final PH based on i-traits,and their performancewas assessed across developmental ***,strong,and very strong correlations between predictions and experimental datasets were achieved from the early S4(tenth-leaf)***,our study provides a valuable tool for dissecting the spatiotemporal formation of specific internodes and the genetic architecture of PH,as well as resources and predictive models that are useful for molecular desig
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