ArticleGenetics2010
Genetic control of photoperiod sensitivity in maize revealed by joint multiple population analysis.
Article in Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
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Who cites it
65 citing papers in PubMed, 146 citations in OpenAlex.
- Multimodal single cell analysis reveals a link between flowering and leaf initiation.bioRxiv : the preprint server for biology · 2026Article
- Genome-wide-association-analysis-based identification of genetic loci and candidate genes associated with seedling emergence rate in super-sweet corn (Zea mays L.).BMC plant biology · 2026Article
- A reaction norm for flowering time plasticity reveals physiological footprints of maize adaptation.G3 (Bethesda, Md.) · 2025Article
- Article
- Socio-economic factors constrain climate change adaptation in a tropical export crop.Nature food · 2025Article
- Unveiling Photoperiod-Responsive Regulatory Networks in Tropical Maize Through Transcriptome Analysis.Genes · 2025Article
- Studies on Candidate Genes Related to Flowering Time in a Multiparent Population of Maize Derived from Tropical and Temperate Germplasm.Plants (Basel, Switzerland) · 2024Article
- Identification of genetic and environmental factors influencing aerial root traits that support biological nitrogen fixation in sorghum.G3 (Bethesda, Md.) · 2024Article
- Modeling QTL-by-environment interactions for multi-parent populations.Frontiers in plant science · 2024Article
- A single amino acid change led to structural and functional differentiation of PvHd1 to control flowering in switchgrass.Journal of experimental botany · 2023Article
- Effects of the quantitative trait locus qPss3 on inhibition of photoperiod sensitivity and resistance to stalk rot disease in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Identification of QTNs, QTN-by-environment interactions for plant height and ear height in maize multi-environment GWAS.Frontiers in plant science · 2023Article
- statgenMPP: an R package implementing an IBD-based mixed model approach for QTL mapping in a wide range of multi-parent populations.Bioinformatics (Oxford, England) · 2022Article
- Linkage Mapping Reveals QTL for Flowering Time-Related Traits under Multiple Abiotic Stress Conditions in Maize.International journal of molecular sciences · 2022Article
- An adaptive teosinteProceedings of the National Academy of Sciences of the United States of America · 2022Article
- A B73×Palomero Toluqueño mapping population reveals local adaptation in Mexican highland maize.G3 (Bethesda, Md.) · 2022Article
- Genome-Wide Association Studies Provide Insights Into the Genetic Architecture of Seed Germination Traits in Maize.Frontiers in plant science · 2022Article
- Isolation and identification ofFrontiers in plant science · 2022Article
- An IBD-based mixed model approach for QTL mapping in multiparental populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Genome-Wide Identification and Characterization of Polygalacturonase Gene Family in Maize (International journal of molecular sciences · 2021Article
5 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Variation in maize for response to photoperiod is related to geographical adaptation in the species. Maize possesses homologs of many genes identified as regulators of flowering time in other species, but their relation to the natural variation for photoperiod response in maize is unknown. Candidate gene sequences were mapped in four populations created by crossing two temperate inbred lines to two photoperiod-sensitive tropical inbreds. Whole-genome scans were conducted by high-density genotyping of the populations, which were phenotyped over 3 years in both short- and long-day environments. Joint multiple population analysis identified genomic regions controlling photoperiod responses in flowering time, plant height, and total leaf number. Four key genome regions controlling photoperiod response across populations were identified, referred to as ZmPR1-4. Functional allelic differences within these regions among phenotypically similar founders suggest distinct evolutionary trajectories for photoperiod adaptation in maize. These regions encompass candidate genes CCA/LHY, CONZ1, CRY2, ELF4, GHD7, VGT1, HY1/SE5, TOC1/PRR7/PPD-1, PIF3, ZCN8, and ZCN19.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.