In vivo prediction of the carcass fatness using live body measurements in Pekin ducks
In vivo prediction of the carcass fatness using live body measurements in Pekin ducks
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DOI：
10.3382/ps/pey079
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发表时间：
2018-07-01
期刊：
影响因子：
4.4
通讯作者：
Hou, Zhuo-Cheng
中科院分区：
文献类型：
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作者：
Lin, Fang-Bin;Zhu, Feng;Hou, Zhuo-Cheng
本研究旨在探讨北京鸭体尺与几个脂肪性状的相关性，并建立多元回归方程，用于活体估测北京鸭胴体脂肪含量。对208只6周龄北京鸭（公鸭107只，母鸭101只）的部分性状进行了测定。所有的鸭子称重和测量一组身体测量，包括活体重，身体斜坡长度，胸肌厚度，皮肤脂肪厚度，胸宽，龙骨长度，和颈部长度。用B超测量胸肌厚度和皮肤脂肪厚度。屠宰后收集胴体信息，包括净膛重量、皮下脂肪和皮肤重量以及腹部脂肪重量。结果表明，大部分性状的性别效应显著（P < 0.05），带皮皮下脂肪重与活体重呈显著正相关（r = 0.57 ~ 0.71，P < 0.01）。与皮下脂肪和皮肤重量密切相关的性状有胸肌厚（r = 0.20，P < 0.01）、皮肤脂肪厚（r = 0.43，P < 0.01）、胸宽（r = 0.24，P < 0.01）和颈长（r = 0.20，P < 0.05）。鸭腹脂重、腹脂率、皮脂率与活体重呈极显著正相关（r = 0.38 ~ 0.43，P < 0.01），与皮脂厚度呈极显著正相关（r = 0.38 ~ 0.49，P < 0.01）。这些性状为构建回归方程提供了基础，以预测皮下脂肪和腹部脂肪的重量（或百分比），因变量和自变量之间的复相关系数（R）值很高。两个方程在其它鸭群中也适用，且具有较高的准确性，80%以上的估计值与实际值相比在误差范围内（< 10%）。
The purpose of this study was to evaluate the correlation between live body measurements and several fat traits in Pekin ducks, and ultimately to formulate multiple regression equations for the in vivo estimation of the carcass fatness of Pekin ducks. Several traits were measured in a total of 208 Pekin ducks aged 6 wk (107 males and 101 females). All ducks were weighed and measured for a set of body measurements including live body weight, body slope length, breast muscle thickness, skin fat thickness, chest width, keel length, and neck length. The breast muscle thickness and skin fat thickness was measured using B-scan sonography. Carcass information, including eviscerated weight, subcutaneous fat with skin weight, and abdominal fat weight, was collected after slaughter. Our results revealed that sex effects on most traits were significant (P < 0.05), and that the weight of subcutaneous fat with skin was significantly correlated with live body weight (r = 0.57 to 0.71, P < 0.01). Four additional traits of males were closely correlated with the weight of subcutaneous fat with skin, namely breast muscle thickness (r = 0.20, P < 0.01), skin fat thickness (r = 0.43, P < 0.01), chest width (r = 0.24, P < 0.01), and neck length (r = 0.20, P < 0.05). The abdominal fat weight, percentage of fat, and percentage of subcutaneous fat with skin of ducks were significantly correlated with live body weight (r = 0.38 to 0.43, P < 0.01), and skin fat thickness (r = 0.38 to 0.49, P < 0.01). These traits provided the basis for constructing regression equations to predict weight (or percentage) of subcutaneous fat and abdominal fat with high values of coefficients of multiple correlation (R) between the dependent variable and the independent variables. Two equations were verified to be applicable in other duck groups, with high accuracy, as more than 80% of estimated values were within the margin of error (< 10%), compared with the actual values.