Mapping dynamic QTL for plant height in triticale

BackgroundPlant height is a prime example of a dynamic trait that changes constantly throughout adult development. In this study we utilised a large triticale mapping population, comprising 647 doubled haploid lines derived from 4 families, to phenotype for plant height by a precision phenotyping platform at multiple time points.ResultsUsing multiple-line cross QTL mapping we identified main effect and epistatic QTL for plant height for each of the time points. Interestingly, some QTL were detected at all time points whereas others were specific to particular developmental stages. Furthermore, the contribution of the QTL to the genotypic variance of plant height also varied with time as exemplified by a major QTL identified on chromosome 6A.ConclusionsTaken together, our results in the small grain cereal triticale reveal the importance of considering temporal genetic patterns in the regulation of complex traits such as plant height.

• Publication year

  2014

• Venue

  BMC Genetics

• Publication date

  2014-05-19

• Fields of study

  Agricultural and Food Sciences, Medicine, Biology

• Identifiers
  DOI 10.1186/1471-2156-15-59PMID 24885543PMCID 4040121
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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