ArticleGenome biology2023
Identifying yield-related genes in maize based on ear trait plasticity.
Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction.The New phytologist · 2026Article
- Article
- Genome-Wide Association Mapping of Ear Traits in Early-Maturing Maize Under Contrasting Planting Densities.International journal of molecular sciences · 2026Article
- Genome-Wide Association Studies of Agronomic and Yield Traits in Sweet Corn (Plants (Basel, Switzerland) · 2026Article
- Genetic analysis of ear, husk, and tassel traits in tropical maize under diverse environments.Frontiers in plant science · 2025Article
- The analysis of the genetic loci affecting phenotypic plasticity of soybean isoflavone content by dQTG.seq model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement.Plants (Basel, Switzerland) · 2024Review
- Assessing the Impact of Yield Plasticity on Hybrid Performance in Maize.Physiologia plantarumArticle
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhenotypic plasticity is defined as the phenotypic variation of a trait when an organism is exposed to different environments, and it is closely related to genotype. Exploring the genetic basis behind the phenotypic plasticity of ear traits in maize is critical to achieve climate-stable yields, particularly given the unpredictable effects of climate change. Performing genetic field studies in maize requires development of a fast, reliable, and automated system for phenotyping large numbers of samples.
resultsHere, we develop MAIZTRO as an automated maize ear phenotyping platform for high-throughput measurements in the field. Using this platform, we analyze 15 common ear phenotypes and their phenotypic plasticity variation in 3819 transgenic maize inbred lines targeting 717 genes, along with the wild type lines of the same genetic background, in multiple field environments in two consecutive years. Kernel number is chosen as the primary target phenotype because it is a key trait for improving the grain yield and ensuring yield stability. We analyze the phenotypic plasticity of the transgenic lines in different environments and identify 34 candidate genes that may regulate the phenotypic plasticity of kernel number.
conclusionsOur results suggest that as an integrated and efficient phenotyping platform for measuring maize ear traits, MAIZTRO can help to explore new traits that are important for improving and stabilizing the yield. This study indicates that genes and alleles related with ear trait plasticity can be identified using transgenic maize inbred populations.
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