{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Luo Z"],"funding":["National Basic Research Program of China","DFG Emmy Noether","National Key Research and Development Program of China","Biotechnology and Biological Sciences Research Council","Engineering and Physical Sciences Research Council"],"pagination":["1569-1585"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5719798"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["130(8)"],"pubmed_abstract":["<h4>Key message</h4>A comprehensive linkage atlas for seed yield in rapeseed. Most agronomic traits of interest for crop improvement (including seed yield) are highly complex quantitative traits controlled by numerous genetic loci, which brings challenges for comprehensively capturing associated markers/genes. We propose that multiple trait interactions underlie complex traits such as seed yield, and that considering these component traits and their interactions can dissect individual quantitative trait loci (QTL) effects more effectively and improve yield predictions. Using a segregating rapeseed (Brassica napus) population, we analyzed a large set of trait data generated in 19 independent experiments to investigate correlations between seed yield and other complex traits, and further ide"],"journal":["TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik"],"pubmed_title":["Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example."],"pmcid":["PMC5719798"],"funding_grant_id":["BB/I017585/2","BB/I017585/1","grant MA6473/1-1","Grant No. 2015CB150200","BB/P00489X/1","BB/N005112/1","No. 2016YFD0100305, 2016YFD0101300","BB/M028348/1","BB/E001610/1 &amp; BB/I017585/1","BB/E001610/1","TS/I000747/2","2011CB109306"],"pubmed_authors":["Shi L","Zou J","Luo Z","Xiang J","Liu P","Fitt BDL","Snowdon RJ","Wang M","Liu X","Huang Y","Long Y","Mason AS","Zhang C","Meng J"],"additional_accession":[]},"is_claimable":false,"name":"Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example.","description":"<h4>Key message</h4>A comprehensive linkage atlas for seed yield in rapeseed. Most agronomic traits of interest for crop improvement (including seed yield) are highly complex quantitative traits controlled by numerous genetic loci, which brings challenges for comprehensively capturing associated markers/genes. We propose that multiple trait interactions underlie complex traits such as seed yield, and that considering these component traits and their interactions can dissect individual quantitative trait loci (QTL) effects more effectively and improve yield predictions. Using a segregating rapeseed (Brassica napus) population, we analyzed a large set of trait data generated in 19 independent experiments to investigate correlations between seed yield and other complex traits, and further ide","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017 Aug","modification":"2025-04-05T10:36:04.238Z","creation":"2019-03-27T03:04:09Z"},"accession":"S-EPMC5719798","cross_references":{"pubmed":["28455767"],"doi":["10.1007/s00122-017-2911-7"]}}