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首页> 外文期刊>Animal >Genetic parameters between slaughter pig efficiency and growth rate of different body tissues estimated by computed tomography in live boars of Landrace and Duroc.
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Genetic parameters between slaughter pig efficiency and growth rate of different body tissues estimated by computed tomography in live boars of Landrace and Duroc.

机译:通过计算机断层摄影术估算长白和杜洛克活猪的屠宰猪效率和不同身体组织生长率之间的遗传参数。

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摘要

In this study, computed tomography (CT) technology was used to measure body composition on live pigs for breeding purposes. Norwegian Landrace (L; n=3835) and Duroc (D; n=3139) boars, selection candidates to be elite boars in a breeding programme, were CT-scanned between August 2008 and August 2010 as part of an ongoing testing programme at Norsvin's boar test station. Genetic parameters in the growth rate of muscle (MG), carcass fat (FG), bone (BG) and non-carcass tissue (NCG), from birth to ~100 kg live weight, were calculated from CT data. Genetic correlations between growth of different body tissues scanned using CT, lean meat percentage (LMP) calculated from CT and more traditional production traits such as the average daily gain (ADG) from birth to 25 kg (ADG1), the ADG from 25 kg to 100 kg (ADG2) and the feed conversion ratio (FCR) from 25 kg to 100 kg were also estimated from data on the same boars. Genetic parameters were estimated based on multi-trait animal models using the average information-restricted maximum likelihood (AI-REML) methodology. The heritability estimates (s.e.=0.04 to 0.05) for the various traits for Landrace and Duroc were as follows: MG (0.19 and 0.43), FG (0.53 and 0.59), BG (0.37 and 0.58), NCG (0.38 and 0.50), LMP (0.50 and 0.57), ADG1 (0.25 and 0.48), ADG2 (0.41 and 0.42) and FCR (0.29 and 0.42). Genetic correlations for MG with LMP were 0.55 and 0.68, and genetic correlations between MG and ADG2 were -0.06 and 0.07 for Landrace and Duroc, respectively. LMP and ADG2 were clearly unfavourably genetically correlated (L: -0.75 and D: -0.54). These results showed the difficulty in jointly improving LMP and ADG2. ADG2 was unfavourably correlated with FG (L: 0.84 and D: 0.72), thus indicating to a large extent that selection for increased growth implies selection for fatness under an ad libitum feeding regime. Selection for MG is not expected to increase ADG2, but will yield faster growth of the desired tissues and a better carcass quality. Hence, we consider MG to be a better biological trait in selection for improved productivity and carcass quality. CT is a powerful instrument in conjunction with breeding, as it combines the high accuracy of CT data with measurements taken from the selection candidates. CT also allows the selection of new traits such as real body composition, and in particular, the actual MG on living animals.Digital Object Identifier http://dx.doi.org/10.1017/S1751731111001455
机译:在这项研究中,计算机断层扫描(CT)技术用于测量活猪的体成分,以进行繁殖。在育种计划中选拔为优良公猪的候选挪威公猪(L; n = 3835)和杜洛克(Duroc(D; n = 3139)) 2008年8月和2010年8月,这是诺斯文公猪测试站正在进行的测试计划的一部分。根据CT数据,计算出从出生到100 kg活重的肌肉(MG),car体脂肪(FG),骨骼(BG)和非tissue体组织(NCG)生长速率的遗传参数。使用CT扫描的不同身体组织的生长,通过CT计算的瘦肉百分比(LMP)与更传统的生产特性(例如从出生到25公斤的平均日增重(ADG),从25公斤到25公斤的平均日增重)之间的遗传相关性还根据同一公猪的数据估算出100千克(ADG2)和25千克至100千克的饲料转化率(FCR)。使用平均信息限制的最大似然(AI-REML)方法,基于多性状动物模型估算遗传参数。长白和杜洛克各性状的遗传力估计值(se = 0.04至0.05)如下:MG(0.19和0.43),FG(0.53和0.59),BG(0.37和0.58),NCG(0.38和0.50), LMP(0.50和0.57),ADG1(0.25和0.48),ADG2(0.41和0.42)和FCR(0.29和0.42)。 MG与LMP的遗传相关分别为0.55和0.68,Landrace和Duroc的MG与ADG2之间的遗传相关分别为-0.06和0.07。 LMP和ADG2在遗传上显然是不利的(L:-0.75和D:-0.54)。这些结果表明了联合改善LMP和ADG2的困难。 ADG2与FG的相关性不佳(L:0.84,D:0.72),因此在很大程度上表明,选择增加生长意味着在自由采食条件下选择脂肪。 MG的选择预期不会增加ADG2,但会产生所需组织的更快生长和更好的car体质量。因此,我们认为MG在选择上具有更好的生物学特性,以提高生产力和car体质量。 CT是结合育种的强大工具,因为它结合了CT数据的高精度和从选择候选对象中获得的测量结果。 CT还允许选择新特征,例如真实的身体成分,特别是活体动物的实际MG数字对象标识符http://dx.doi.org/10.1017/S1751731111001455

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