Genomic architecture of complex traits in loblolly pine
نویسندگان
چکیده
منابع مشابه
Genomic selection in loblolly pine - from lab to field
Background Tree breeding is logistically complex and expensive, and breeders have long sought to use molecular markers to accelerate breeding. A candidate gene approach based on testing for association between the presence of DNA sequence variation in or near candidate genes, and phenotypic variation in a population has long been explored [1,2]. However, using candidate gene approach (QTLs) has...
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the objective of this study was to compare six statistical methods for prediction of genomic breedingvalues for traits with different genetic architecture in term of gene effects distributions and number ofquantitative traits loci (qtls). a genome consisted of 500 bi-allelic single nucleotide polymorphism(snp) markers distributed over a chromosomes with 100 cm length was simulated. three differ...
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In tests with Pinus taeda L., most properties of wet. formed hardboard were improved by using fiber refined from wood having short, slender tracheids with thin walls. A theoretical analysIs suggested that the fibers fail in bending while under stress induced by the pressing operation. Such bending failures improve conditions for hydrogen bonding, thus improving board properties. Trachelds havmg...
متن کاملGenomic Estimated Breeding Values Using Genomic Relationship Matrices in a Cloned Population of Loblolly Pine
Replacement of the average numerator relationship matrix derived from the pedigree with the realized genomic relationship matrix based on DNA markers might be an attractive strategy in forest tree breeding for predictions of genetic merit. We used genotypes from 3461 single-nucleotide polymorphism loci to estimate genomic relationships for a population of 165 loblolly pine (Pinus taeda L.) indi...
متن کاملTitle: Accuracy of Genomic Selection Methods in a Standard Dataset of Loblolly Pine
Genomic selection can increase genetic gain per generation through early selection. Genomic selection is expected to be particularly valuable for traits that are costly to phenotype, and expressed late in the life-cycle of long-lived species. Alternative approaches to genomic selection prediction models may perform differently for traits with distinct genetic properties. Here the performance of...
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ژورنال
عنوان ژورنال: New Phytologist
سال: 2018
ISSN: 0028-646X,1469-8137
DOI: 10.1111/nph.15535