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Distribution of quantitative trait l...
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Ham, Bong Joo.
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Distribution of quantitative trait loci in a doubled haploid population of barley (Hordeum vulgare L.).
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Distribution of quantitative trait loci in a doubled haploid population of barley (Hordeum vulgare L.)./
Author:
Ham, Bong Joo.
Description:
118 p.
Notes:
Source: Masters Abstracts International, Volume: 48-03, page: 1463.
Contained By:
Masters Abstracts International48-03.
Subject:
Agriculture, Plant Culture. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR54695
ISBN:
9780494546956
Distribution of quantitative trait loci in a doubled haploid population of barley (Hordeum vulgare L.).
Ham, Bong Joo.
Distribution of quantitative trait loci in a doubled haploid population of barley (Hordeum vulgare L.).
- 118 p.
Source: Masters Abstracts International, Volume: 48-03, page: 1463.
Thesis (M.Sc.)--University of Alberta (Canada), 2009.
This thesis provides a genome-wide view on the distribution of quantitative trait loci (QTLs) in a doubled haploid (DH) population of barley ( Hordeum vulgare L.) derived from the cross Steptoe x Morex. A total of 223 restriction fragment length polymorphism (HELP) markers and phenotype data on eight agronomic and quality traits were taken from the web-based database of the North American Barley Genome Mapping Project (NABGMP). I identified a total of 39, 38, 67, 10, 33, 56, 49 and 37 QTLs for yield, lodging date, height, heading date, protein, diastatic power, alpha amylase and malt over 6 to 16 environments, respectively. The same QTLs for a given trait rarely appeared in all the environments. These QTLs were not uniformly distributed across seven chromosomes with QTLs for yield, lodging date, height, heading date and protein being mainly on chromosome 2, and QTLs for diastatic power and malt being on chromosome 4 and QTLs for alpha amylase being on chromosome 1. Additive x additive epistasis was generally unimportant. Two uses of this baseline QTL distribution information were made. First, the information on yield QTLs shared between pairs of 16 environments was used to investigate causes and nature of genotype-environment interaction. Second, I extended the concept of QTL sharing for the analysis of pleiotropic QTL effects on multiple traits. It is concluded that a genome-wide view on the distribution of QTL within and between traits over different environments is essential for plant breeders to identify optimal breeding strategies.
ISBN: 9780494546956Subjects--Topical Terms:
1018669
Agriculture, Plant Culture.
Distribution of quantitative trait loci in a doubled haploid population of barley (Hordeum vulgare L.).
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This thesis provides a genome-wide view on the distribution of quantitative trait loci (QTLs) in a doubled haploid (DH) population of barley ( Hordeum vulgare L.) derived from the cross Steptoe x Morex. A total of 223 restriction fragment length polymorphism (HELP) markers and phenotype data on eight agronomic and quality traits were taken from the web-based database of the North American Barley Genome Mapping Project (NABGMP). I identified a total of 39, 38, 67, 10, 33, 56, 49 and 37 QTLs for yield, lodging date, height, heading date, protein, diastatic power, alpha amylase and malt over 6 to 16 environments, respectively. The same QTLs for a given trait rarely appeared in all the environments. These QTLs were not uniformly distributed across seven chromosomes with QTLs for yield, lodging date, height, heading date and protein being mainly on chromosome 2, and QTLs for diastatic power and malt being on chromosome 4 and QTLs for alpha amylase being on chromosome 1. Additive x additive epistasis was generally unimportant. Two uses of this baseline QTL distribution information were made. First, the information on yield QTLs shared between pairs of 16 environments was used to investigate causes and nature of genotype-environment interaction. Second, I extended the concept of QTL sharing for the analysis of pleiotropic QTL effects on multiple traits. It is concluded that a genome-wide view on the distribution of QTL within and between traits over different environments is essential for plant breeders to identify optimal breeding strategies.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR54695
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