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首页> 外文期刊>Journal of Animal Science >Evaluation of the prediction of alternative measures of pork carcass composition by three optical probes
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Evaluation of the prediction of alternative measures of pork carcass composition by three optical probes

机译:三种光学探针对猪car体成分替代措施的预测评价

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The accuracy of 3 optical probes (HGP4 Hennessey Grading Probe, Destron-Feering PG-100 probe, and Giraldo OPTO-Electronic PG-200 probe) to predict the carcass percentage of 5 alternative measures of carcass composition (fat-tissue-free lean, lipid-free soft tissue, lipid-free lean, total fat tissue, and soft tissue lipid) was evaluated on 203 barrows and guts of 7 genetic populations. The optical probe backfat depths were more closely correlated (P < 0.001, 0.963 to 0.983) than the LM depths (r = 0.695 to 0.734). The optical probe backfat depths were related to lean percentage (r = -0.82 to -0.88), total fat tissue percentage (r = 0.84 to 0.88), and soft tissue lipid percentage (r = 0.86 to 0.87). Optical probe LM depths were weakly related (P < 0.05; r = 0.23 to 0.34) to measures of carcass lean percentage and total fat tissue percentage (r = -0.16 to -0.26). Fat-free lean percentage was predicted with residual SD (RSD) of 3.7% for equations including last-rib midline backfat thickness, 2.4 to 2.7% for equations including optical probe backfat and LM depth, and 2.3% for ribbed carcass measurements. The RSD for the optical probe equations ranged from 2.1 to 2.4% for lipid-free soft tissue percentage and from 2.0 to 2.3% for lipid-free lean percentage. The RSD for the optical probe equations ranged from 2.9 to 3.3% for total fat tissue percentage and 2.5 to 2.8% for soft tissue lipid percentage. Quadratic and cross-product variables of optical probe fat depth, LM depth, and carcass weight were significant (P < 0.05) and reduced the RSD of the equations. Optical probe backfat and LM measurements can be used to predict alternative measures of carcass composition. The predicted relationships in fat-free lean percentage to backfat depth were nearly identical for each optical probe. [PUBLICATION ABSTRACT]
机译:3种光学探针(HGP4 Hennessey分级探针,Destron-Feering PG-100探针和Giraldo OPTO-Electronic PG-200探针)的准确性,可预测5种alternative体成分的替代测量值(无脂肪组织瘦肉,在7个遗传种群的203个公猪和肠道上评估了无脂软组织,无脂瘦肉,总脂肪组织和软组织脂质)。与LM深度(r = 0.695至0.734)相比,光学探针的反脂肪深度更紧密相关(P <0.001,0.963至0.983)。光学探针的后脂肪深度与瘦肉率(r = -0.82至-0.88),总脂肪组织百分比(r = 0.84至0.88)和软组织脂质百分比(r = 0.86至0.87)有关。光学探针的LM深度与measures体瘦肉率和总脂肪组织百分比(r = -0.16至-0.26)的测量值之间呈弱相关性(P <0.05; r = 0.23至0.34)。预测无脂瘦肉百分比,其中包括最后肋骨中线后脂肪厚度的方程式的残余SD(RSD)为3.7%,包括光学探针后脂肪和LM深度的方程式的残余SD(RSD)为2.4%至2.7%,而肋骨rib体测量的方程式为2.3%。对于无脂质的软组织百分比,光学探针方程的RSD范围为2.1至2.4%,对于无脂质的瘦肉百分比范围为2.0至2.3%。光学探针方程的RSD范围为:总脂肪组织百分比为2.9%至3.3%,软组织脂质百分比为2.5%至2.8%。光学探针的脂肪深度,LM深度和car体重量的二次变量和乘积变量显着(P <0.05),并降低了方程的RSD。光学探针背脂肪和LM测量可用于预测predict体成分的替代测量。每种光学探针的无脂瘦肉率与背脂深度之间的预测关系几乎相同。 [出版物摘要]

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