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用于预测诊断和研究患有胸肌病肉鸡的比例生长的精确技术。

Precision technologies for predictive diagnosis and study of the allometric growth of broiler chickens with breast myopathies.

机构信息

Faculty of Animal Science, Federal University of Grande Dourados (UFGD), Dourados, Brazil.

出版信息

Br Poult Sci. 2023 Apr;64(2):204-213. doi: 10.1080/00071668.2022.2128989. Epub 2022 Nov 14.

Abstract
  1. An experiment was carried out to validate techniques as predictive diagnostic tools for breast myopathies and to study the allometric growth of distinct parts of the body and meat quality of broilers.2. Infrared thermography was performed at 35 d of age. The surface temperatures of breasts of 300 birds were recorded, followed by ultrasound imaging.3. The birds were slaughtered and the cuts were made to weigh the body parts. Then, the breasts were evaluated as for the presence and severity of myopathies, from which nine treatments were established represented by the associated degrees of the myopathies white striping and wooden breast and breasts classified as normal.4. There was no difference in surface temperatures and echogenicity values between normal breasts and breasts affected by myopathies. At 35 d of age few fillets classified as normal were found.5. The breast showed late growth in relation to the body, regardless of characteristic lesions of myopathies. The most severe score of wooden breast affected meat quality variables.
摘要
  1. 进行了一项实验,以验证技术作为预测性诊断工具,用于乳房肌病,并研究肉鸡不同身体部位的生长和肉质。

  2. 在 35 日龄时进行了红外热成像。记录了 300 只鸡的乳房表面温度,随后进行了超声成像。

  3. 这些鸡被屠宰并切割,以称重身体部位。然后,对乳房进行评估,检查是否存在和严重程度的肌病,从中确定了 9 种处理方法,代表了肌病白条纹和木质鸡胸的相关程度以及被分类为正常的乳房。

  4. 在表面温度和超声回声值方面,正常乳房和受肌病影响的乳房之间没有差异。在 35 日龄时,很少发现被归类为正常的肉片。

  5. 乳房的生长与身体相比较晚,无论是否存在肌病的特征性病变。木质鸡胸的严重程度评分影响肉质变量。

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