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首页> 外文学位 >Mapping and detection of quantitative trait loci (QTL) for milk production traits based on linkage analysis using microsatellite markers in Canadian Holstein cattle.
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Mapping and detection of quantitative trait loci (QTL) for milk production traits based on linkage analysis using microsatellite markers in Canadian Holstein cattle.

机译：基于连锁分析使用加拿大荷斯坦牛的微卫星标记，对牛奶生产性状的数量性状基因座（QTL）进行定位和检测。

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摘要

DNA markers such as microsatellite markers have made it possible to identify genes at the molecular level for quantitative traits, which are complex in nature. The numbers of genes and the effects of individual genes that control quantitative traits are unknown. The overall objective of this thesis was to identify quantitative trait loci (QTL) affecting milk production traits and to estimate their effects on chromosomes one, six, nine, ten and twenty in Canadian Holstein bulls.; A granddaughter design with 6 grandsires and a total of 432 sons was used in this study. About seven markers were genotyped in each chromosome. Markers were mapped using ANIMAP and CRI-MAP programs. Least squares (LS) and restricted maximum likelihood (REML) methods were employed to detect QTL and to estimate their effects or variance. To identify significant QTL, empirical threshold values based on a permutation method, and χ2 table values were used in LS and REML methods, respectively.; A single QTL at about 55 cM involved in the control of both milk and protein yield, and another QTL affecting fat yield and fat% were identified around 32 cM on chromosome one. A single QTL at about 50 cM for both milk and protein yield, and another for protein% around 13 cM were detected on chromosome six. A single QTL possibly affecting all yield traits around 10 cM and another QTL affecting protein% around 64 cM were identified on chromosome twenty. Preliminary analysis showed evidence for presence of QTL for fat% and protein% on chromosome ten.; The impact on detection of QTL and estimating their effects using alternative trait values, daughter yield deviation (DYD), estimated breeding value (EBV) and deregressed proofs (DRP), was investigated. Similar results were observed regardless of the trait values used. The effects of using the estimated marker map from this study versus a published marker map on detection and estimation of QTL effect was also investigated. In terms of significant evidence found and of relative positions of identified QTL, results were similar in both maps. The identified QTL in the individual grandsires could be utilized in animal breeding programs.
机译：DNA标记（例如微卫星标记）使人们有可能在分子水平上鉴定数量特征的基因，这些特征本质上是复杂的。控制数量性状的基因数目和单个基因的作用尚不清楚。本文的总体目标是确定影响牛奶生产性状的数量性状基因座（QTL），并估计其对一个，六个，九个染色体的影响。加拿大荷斯坦公牛的italic>，十和二十。本研究使用了具有6个孙代和总共432个儿子的孙女设计。每个染色体中约有七个标记基因型。标记是使用ANIMAP和CRI-MAP程序进行映射的。最小二乘（LS）和受限最大似然（REML）方法用于检测QTL并估计其影响或方差。为了识别重要的QTL，在LS和REML方法中分别使用了基于置换方法的经验阈值和χ 2 表值。在 one 染色体上约一个32 cM处发现了一个大约控制在55 cM的单个QTL参与了牛奶和蛋白质产量的控制，另一个QTL影响了脂肪的产量和脂肪含量。在 6 染色体上检测到一个单一的QTL，其牛奶和蛋白质产量约为50 cM，另一个约为13 cM的蛋白质％。在二十染色体上鉴定到一个可能影响所有10 cM左右产量性状的QTL，另一个影响64 cM左右蛋白质％的QTL。初步分析显示在十染色体上存在脂肪和蛋白质％的QTL。使用替代性状值，子代产量偏差（DYD），估计育种值（EBV）和降级证明（DRP），研究了对QTL检测和评估其影响的影响。无论所使用的特征值如何，都观察到相似的结果。还研究了使用本研究的估计标记图对比公开的标记图对检测和估计QTL效果的影响。就找到的重要证据和已鉴定QTL的相对位置而言，两个图的结果均相似。在个体后代中确定的QTL可用于动物育种计划。

著录项

  • 作者

    Nadesalingam, Jeyakumary.;

  • 作者单位

    University of Guelph (Canada).;

  • 授予单位 University of Guelph (Canada).;
  • 学科 Biology Genetics.; Agriculture Animal Culture and Nutrition.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 273 p.
  • 总页数 273
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 遗传学;饲料;
  • 关键词

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