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Quantitative trait loci influencing forking defects in an outbred pedigree of loblolly pine

Overview of attention for article published in BMC Genomic Data, October 2016
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Title
Quantitative trait loci influencing forking defects in an outbred pedigree of loblolly pine
Published in
BMC Genomic Data, October 2016
DOI 10.1186/s12863-016-0446-6
Pubmed ID
Authors

Jin S. Xiong, Steven E. McKeand, Fikret Isik, Jill Wegrzyn, David B. Neale, Zhao-Bang Zeng, Luciano da Costa e Silva, Ross W. Whetten

Abstract

The use of wood as an industrial raw material has led to development of plantation forestry, in which trees are planted, managed, and harvested as crops. The productivity of such plantations often exceeds that of less-intensively-managed forests, and land managers have the option of choosing specific planting stock to produce specific types of wood for industrial use. Stem forking, or division of the stem into two or more stems of roughly equal size, is a character trait important in determining the quality of the stem for production of solid wood products. This trait typically has very low individual-tree heritability, but can be more accurately assessed in clonally-replicated plantings where each genotype is represented by several individual trees. We report results from a quantitative trait mapping experiment in a clonally-replicated full-sibling family of loblolly pine (Pinus taeda L.). Quantitative trait loci influencing forking defects were identified in an outbred full-sibling family of loblolly pine, using single-nucleotide polymorphism markers. Genetic markers in this family segregated either in 1:2:1 (F2 intercross-like segregation) or 1:1 ratio (backcross-like segregation). An integrated linkage map combining markers with different segregation ratios was assembled for this full-sib family, and a total of 409 SNP markers were mapped on 12 linkage groups, covering 1622 cM. Two and three trait loci were identified for forking and ramicorn branch traits, respectively, using the interval mapping method. Three trait loci were detected for both traits using multiple-trait analysis. The detection of three loci for forking and ramicorn branching in a multiple-trait analysis could mean that there are genes with pleiotropic effects on both traits, or that separate genes affecting different traits are clustered together. The detection of genetic loci associated with variation in stem quality traits in this study supports the hypothesis that marker-assisted selection can be used to decrease the rate of stem defects in breeding populations of loblolly pine.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Researcher 5 25%
Student > Master 3 15%
Professor 1 5%
Other 1 5%
Other 1 5%
Unknown 3 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 65%
Biochemistry, Genetics and Molecular Biology 3 15%
Environmental Science 1 5%
Medicine and Dentistry 1 5%
Unknown 2 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2016.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#283,638
of 324,018 outputs
Outputs of similar age from BMC Genomic Data
#16
of 19 outputs
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