Identification of quantitative trait loci for leaf-related traits in an IBM Syn10 DH maize population across three environments

dc.contributor.author Ma, Langlang
dc.contributor.author Guan, Zhongrong
dc.contributor.author Lubberstedt, Thomas
dc.contributor.author Zhang, Zhiteng
dc.contributor.author Zhang, Xiaoxiang
dc.contributor.author Zhang, Yanling
dc.contributor.author Zou, Chaoying
dc.contributor.author Peng, Huanwei
dc.contributor.author Pan, Guangtang
dc.contributor.author Lee, Michael
dc.contributor.author Shen, Yaou
dc.contributor.author Lubberstedt, Thomas
dc.contributor.department Agronomy
dc.date 2018-03-08T22:15:30.000
dc.date.accessioned 2020-06-29T23:05:19Z
dc.date.available 2020-06-29T23:05:19Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2018
dc.date.embargo 2019-02-25
dc.date.issued 2018-02-25
dc.description.abstract <p>Leaf-related traits (leaf length, leaf width, leaf area and leaf angle) are very important for the yield of maize (Zea mays L) due to their influence on plant type. Therefore, it is necessary to identify quantitative trait loci (QTLs) for leaf-related traits. In this report, 221 doubled haploid lines (DHLs) of an IBM Syn10 DH population were provided for QTL mapping. In total, 54 QTLs were detected for leaf-related traits in single environments using a high-density genetic linkage map. Among them, only eight common QTLs were identified across two or three environments, and the common QTLs for the four traits explained 4.38%-19.99% of the phenotypic variation. qLL-2-1 (bin 2.09), qLW-2-2 (bin 2.09), qLW-6-3(bin 6.07) and qLA-5-2 (bin 2.09) were detected in previous studies, and qLL-1-1, qLAr-1-1, qLAr-2-1 and qLA-7-1 may be new QTLs. Notably, qLW-6-3 and qLA-5-2 were found to be major QTLs explaining 19.99% and 10.96% of the phenotypic variation, respectively. Interestingly, we found three pairs of QTLs (qLW-2-2 and qLAr-2-1, qLW-8-1 and qLL-8-2, qLL-3-3 and qLAr-3-3) that control different traits and that were located on the same chromosome or in a nearby location. Moreover, nine pairs of loci with epistatic effects were identified for the four traits. These results may provide the foundation for QTL fine-mapping and for an understanding of the genetic basis of variation in leaf-related traits.</p>
dc.description.comments <p>This is the peer reviewed version of the following article: Ma L, Guan Z, Zhang Z, et al. Identification of quantitative trait loci for leaf-related traits in an IBM Syn10 DH maize population across three environments. Plant Breed. 2018, which has been published in final form at doi: <a href="http://dx.doi.org/10.1111/pbr.12566" target="_blank">10.1111/pbr.12566</a>. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/agron_pubs/449/
dc.identifier.articleid 1498
dc.identifier.contextkey 11734992
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath agron_pubs/449
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/4808
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/agron_pubs/449/2018_Lubberstedt_IdentificationLeafManuscript.pdf|||Sat Jan 15 00:19:26 UTC 2022
dc.source.uri 10.1111/pbr.12566
dc.subject.disciplines Agricultural Science
dc.subject.disciplines Agronomy and Crop Sciences
dc.subject.disciplines Plant Biology
dc.subject.disciplines Plant Breeding and Genetics
dc.subject.keywords Maize
dc.subject.keywords Leaf length
dc.subject.keywords Leaf width
dc.subject.keywords Leaf area
dc.subject.keywords Leaf angle
dc.subject.keywords QTL mapping
dc.subject.keywords Epistatic effects
dc.title Identification of quantitative trait loci for leaf-related traits in an IBM Syn10 DH maize population across three environments
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 4e4330cd-db15-4ac5-8924-41119139cf32
relation.isOrgUnitOfPublication fdd5c06c-bdbe-469c-a38e-51e664fece7a
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