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通过计算机断层扫描(CT)测量猪的主要切割部位和身体组成(猪图谱)的遗传参数。

Genetic parameters of primal cuts and body composition (PigAtlas) in pigs measured by computed tomography (CT).

作者信息

Kongsro J, Gangsei L E, Karlsson-Drangsholt T M, Grindflek E

机构信息

Norsvin SA, Storhamargata 44, N-2317 Hamar, Norway.

Animalia, Postboks 396 - Økern, N-0513 Oslo, Norway.

出版信息

Transl Anim Sci. 2017 Dec 1;1(4):599-606. doi: 10.2527/tas2017.0072. eCollection 2017 Dec.

DOI:10.2527/tas2017.0072
PMID:32704682
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7204979/
Abstract

Genetic parameters of in vivo primal cuts in breeding pigs using computed tomography were estimated. A total of 2,439 Duroc and 1998 Landrace boars from the Topigs Norsvin boar testing station in Norway were CT scanned as part of the genetic program. In vivo primal cuts were derived from the CT images using atlas segmentation; the method called the Pig Atlas. The (co)variance estimates were obtained from univariate (heritabilities) and multivariate (correlations) animal genetic models using DMU software. The heritabilities for all primal cuts proportions (%) were intermediate to large for both breeds, h ranging from 0.15 to 0.50. Negative genetic correlations were found between most of the other primal cuts, and the strongest correlation was between belly and ham. Carcass lean meat percentage showed a positive correlation to shoulder and ham, but was negatively correlated to belly. In this study, in vivo primal cuts from atlas segmentation are used for genetic parameter calculations for the first time. Computed Tomography (CT) makes it possible to measure in vivo body or carcass composition. This will aid the selection response by measuring on the candidates themselves instead of using relatives. Primal cut proportion and composition measured in vivo by computed tomography and atlas segmentation show heritable variation comparable to previous post mortem studies.

摘要

利用计算机断层扫描技术对种猪体内主要分割部位的遗传参数进行了估计。作为遗传计划的一部分,对来自挪威托皮克思·诺尔斯文种公猪测试站的2439头杜洛克公猪和1998头长白公猪进行了CT扫描。利用图谱分割技术从CT图像中得出体内主要分割部位;该方法称为猪图谱法。使用DMU软件从单变量(遗传力)和多变量(相关性)动物遗传模型中获得(协)方差估计值。两个品种所有主要分割部位比例(%)的遗传力均为中等至较大,h值范围为0.15至0.50。在大多数其他主要分割部位之间发现了负遗传相关性,最强的相关性存在于腹部和后腿之间。胴体瘦肉率与肩部和后腿呈正相关,但与腹部呈负相关。在本研究中,首次将图谱分割法得到的体内主要分割部位用于遗传参数计算。计算机断层扫描(CT)使得测量活体动物的身体或胴体组成成为可能。这将通过对候选个体本身进行测量而不是使用亲属来辅助选择反应。通过计算机断层扫描和图谱分割技术在体内测量的主要分割部位比例和组成显示出与以往尸检研究相当的遗传变异。

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