ArticlePlant physiology2017
High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth.
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Article in Plant physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.
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81citing papers in PubMed, 1 pooled it
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Who cites it
81 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis.The plant genome · 2019Pooled it
- Automated Phenotyping Unveils Trait-Specific Genotypic Variation in Arbuscular Mycorrhiza Responsiveness in Maize (Zea mays).Plant, cell & environment · 2026Article
- Advances in root phenotyping: high-throughput imaging, computational tools, and integrative approaches for crop improvement.Journal of experimental botany · 2026Review
- Persistent and transient QTLs underlying growth trajectory of plant height in sorghum.Journal of experimental botany · 2026Article
- Genetic dissection of oil content in maize kernel using combined genome-wide association analysis and linkage mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genetic dynamics drive maize growth and breeding.Genome biology · 2026Article
- Text mining reveals the increasing importance of genomic approaches in crop research and breeding.Molecular breeding : new strategies in plant improvement · 2025Review
- Integrating Dense Genotyping with High-Throughput Phenotyping Empowers the Genetic Dissection of Berry Quality and Resilience Traits in Grapevine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Image-based GWAS identifies the genetic architecture of seed-related traits in a soybean mutant population.Molecular breeding : new strategies in plant improvement · 2025Article
- RGB imaging-based evaluation of waterlogging tolerance in cultivated and wild chrysanthemums.Plant phenomics (Washington, D.C.) · 2025Article
- Application of Image-Based Phenotyping for QTL Identification of Tiller Angle in Rice (Plants (Basel, Switzerland) · 2024Article
- Automated Phenotypic Trait Extraction for Rice Plant Using Terrestrial Laser Scanning Data.Sensors (Basel, Switzerland) · 2024Article
- Mapping and quantifying unique branching structures in lentil (Lens culinaris Medik.).Plant methods · 2024Article
- Combining genome-wide association study and linkage mapping in the genetic dissection of amylose content in maize (Zea mays L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Maize green leaf area index dynamics: genetic basis of a new secondary trait for grain yield in optimal and drought conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genetic mapping of dynamic control of leaf angle across multiple canopy levels in maize.The plant genome · 2024Article
- Multi-omics assists genomic prediction of maize yield with machine learning approaches.Molecular breeding : new strategies in plant improvement · 2024Article
- An Overview of High-Throughput Crop Phenotyping: Platform, Image Analysis, Data Mining, and Data Management.Methods in molecular biology (Clifton, N.J.) · 2024Review
- Design principles for synthetic control systems to engineer plants.Plant cell reports · 2023Review
- Natural variation in the prolyl 4-hydroxylase gene PtoP4H9 contributes to perennial stem growth in Populus.The Plant cell · 2023Article
21 more citing papers are in PubMed but not listed here.
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Authors and funding
13 authors.
Xuehai ZhangNational 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.ORCID 0000-0001-7734-706X
Chenglong HuangNational 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.
Di WuNational 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.
Feng QiaoNational 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.
Wenqiang LiNational 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.
Lingfeng DuanNational 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.
Ke WangNational 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.
Yingjie XiaoNational 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.
Guoxing ChenNational 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.
Qian LiuNational 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.
Lizhong XiongNational 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.ORCID 0000-0003-0490-1474
Wanneng YangNational 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.
Jianbing YanNational 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.ORCID 0000-0001-8650-7811
Funding
No grant is acknowledged in the PubMed record.
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 (
Indexed as
BiomassChromosome MappingChromosomes, PlantGene Regulatory NetworksGenes, PlantGenomicsGenotypeModels, GeneticPhenotypePlant BreedingQuantitative Trait LociZea mays
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