ArticlePlant communications2023
Complex genetic architecture underlying the plasticity of maize agronomic traits.
Article in Plant communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Plasticity of metabolism in plants.The Plant journal : for cell and molecular biology · 2026Review
- Genome-Wide Association Studies of Agronomic and Yield Traits in Sweet Corn (Plants (Basel, Switzerland) · 2026Article
- From Water Delivery to Root-Zone Engineering: Drip Irrigation Drives Adaptive Root Architectural Plasticity and Enhances Spatiotemporal Root-Water Coupling in Maize.Plants (Basel, Switzerland) · 2026Article
- MMGS: a novel genomic prediction framework to integrate genotype, environment and their interactions for multi-environment breeding trials.Horticulture research · 2026Article
- Phenotypic plasticity evolved for climate variability constrains performance under climate warming.bioRxiv : the preprint server for biology · 2026Article
- Spatiotemporal stability of DUS characteristics in maize and evaluation of spatial replication testing models.Frontiers in plant science · 2026Article
- Decades' progress and prospects on maize functional genomics and molecular breeding.Science China. Life sciences · 2025Review
- Article
- Comprehensive analysis of 1,771 transcriptomes from 7 tissues enhance genetic and biological interpretations of maize complex traits.G3 (Bethesda, Md.) · 2025Article
- Phenotypic plasticity in maize grain yield: Genetic and environmental insights of response to environmental gradients.The plant genome · 2025Article
- Special Issue: "Molecular Genetics and Plant Breeding, 5th Edition".International journal of molecular sciences · 2025Article
- Leveraging Automated Machine Learning for Environmental Data-Driven Genetic Analysis and Genomic Prediction in Maize Hybrids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Embracing plant plasticity or robustness as a means of ensuring food security.Nature communications · 2025Review
- Strawberry phenotypic plasticity in flowering time is driven by the interaction between genetic loci and temperature.Journal of experimental botany · 2024Article
- A nested reciprocal experimental design to map the genetic architecture of transgenerational phenotypic plasticity.Horticulture research · 2024Article
- Exploration of quality variation and stability of hybrid rice under multi-environments.Molecular breeding : new strategies in plant improvement · 2024Article
- Genome-wide association and functional genomic analyses for body conformation traits in North American Holstein cattle.Frontiers in genetics · 2024Article
- Identification of QTNs, QTN-by-environment interactions for plant height and ear height in maize multi-environment GWAS.Frontiers in plant science · 2023Article
- Assessing the Impact of Yield Plasticity on Hybrid Performance in Maize.Physiologia plantarumArticle
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phenotypic plasticity is the ability of a given genotype to produce multiple phenotypes in response to changing environmental conditions. Understanding the genetic basis of phenotypic plasticity and establishing a predictive model is highly relevant to future agriculture under a changing climate. Here we report findings on the genetic basis of phenotypic plasticity for 23 complex traits using a diverse maize population planted at five sites with distinct environmental conditions. We found that latitude-related environmental factors were the main drivers of across-site variation in flowering time traits but not in plant architecture or yield traits. For the 23 traits, we detected 109 quantitative trait loci (QTLs), 29 for mean values, 66 for plasticity, and 14 for both parameters, and 80% of the QTLs interacted with latitude. The effects of several QTLs changed in magnitude or sign, driving variation in phenotypic plasticity. We experimentally validated one plastic gene, ZmTPS14.1, whose effect was likely mediated by the compensation effect of ZmSPL6 from a downstream pathway. By integrating genetic diversity, environmental variation, and their interaction into a joint model, we could provide site-specific predictions with increased accuracy by as much as 9.9%, 2.2%, and 2.6% for days to tassel, plant height, and ear weight, respectively. This study revealed a complex genetic architecture involving multiple alleles, pleiotropy, and genotype-by-environment interaction that underlies variation in the mean and plasticity of maize complex traits. It provides novel insights into the dynamic genetic architecture of agronomic traits in response to changing environments, paving a practical way toward precision agriculture.
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