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本文引用的文献

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Biometric measurements of Santa Inês meat sheep reared on Brachiaria brizantha pastures in Northeast Brazil.巴西东北部饲养在布拉希利亚草牧场上的 Santa Inês 肉用绵羊的生物测量学研究。
PLoS One. 2019 Jul 30;14(7):e0219343. doi: 10.1371/journal.pone.0219343. eCollection 2019.
2
Tissue composition and allometric growth of carcass of lambs Santa Inês and crossbreed with breed Dorper.圣伊内斯羔羊及其与杜泊羊杂交后代胴体的组织组成和异速生长
Trop Anim Health Prod. 2019 Sep;51(7):1903-1908. doi: 10.1007/s11250-019-01886-2. Epub 2019 Apr 18.
3
The ImageJ ecosystem: An open platform for biomedical image analysis.ImageJ生态系统:一个用于生物医学图像分析的开放平台。
Mol Reprod Dev. 2015 Jul-Aug;82(7-8):518-29. doi: 10.1002/mrd.22489. Epub 2015 Jul 7.
4
A dynamic model to predict fat and protein fluxes and dry matter intake associated with body reserve changes in cattle.一种用于预测与牛体储备变化相关的脂肪和蛋白质通量以及干物质摄入量的动态模型。
J Dairy Sci. 2013 Apr;96(4):2448-2463. doi: 10.3168/jds.2012-6070. Epub 2013 Feb 22.
5
Fiji: an open-source platform for biological-image analysis.斐济:一个用于生物影像分析的开源平台。
Nat Methods. 2012 Jun 28;9(7):676-82. doi: 10.1038/nmeth.2019.
6
Predicting the composition of lamb carcases using alternative fat and muscle depth measures.使用替代性脂肪和肌肉深度测量方法预测羊肉胴体的组成。
Meat Sci. 2008 Apr;78(4):400-5. doi: 10.1016/j.meatsci.2007.07.002. Epub 2007 Aug 14.

通过活体测量和生长的 Santa Inês 绵羊胴体测量预测胴体成分。

Prediction of carcass composition through measurements in vivo and measurements of the carcass of growing Santa Inês sheep.

机构信息

Department of Animal Science, Federal Rural University of Pernambuco, UFRPE, Recife, Pernambuco, Brazil.

Department of Animal Science, Federal University of Sergipe, Nossa Senhora da Glória, Sergipe, Brazil.

出版信息

PLoS One. 2021 Mar 5;16(3):e0247950. doi: 10.1371/journal.pone.0247950. eCollection 2021.

DOI:10.1371/journal.pone.0247950
PMID:33667260
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7935253/
Abstract

In vivo and carcass measurements were evaluated to predict carcass physical and chemical composition and to list the measurements that best fit the prediction of the composition of growing Santa Inês sheep carcasses. Thirty-three animals were used to measure the loin eye area by ultrasound in vivo (LEAu) and in the carcass. We used 39 animals for biometric measurement in vivo and 42 sheep for morphometric measurement in the carcass. For the physical and chemical compositions of carcasses, dissection of the half left carcass was carried out in 42 animals. The data were submitted to Pearson's correlation analysis and t test. Simple and multiple linear regressions were performed using a stepwise procedure. All correlations between in vivo measurements and the physical and chemical compositions of carcasses (in kg) were significant, except for LEAu. Biometric measurements and hot (HCW) and cold (CCW) carcass weights were considered as predictors of the carcasses' physical and chemical compositions. Slaughter body weight (SBW) was the variable that most influenced the equations in the assessment of in vivo measurements and HCW and CCW most influenced the equations for measurements on carcasses. Biometric measurements of Santa Inês sheep can be used together with the SBW to estimate the physical and chemical compositions of carcasses, with emphasis on body compactness index, breast width, wither height, and croup height. The morphometric measurements can be used together with carcass weight to estimate the physical and chemical compositions of carcasses, with emphasis on croup width, carcass compactness index, croup perimeter, external and internal carcass lengths, chest width, and leg length and perimeter. The HCW can be used to predict the physical and chemical composition of carcasses without affecting the accuracy of the prediction model.

摘要

对活体和胴体测量进行了评估,以预测胴体的物理和化学组成,并列出了最适合预测生长的圣塔因尼斯羊胴体组成的测量值。使用 33 只动物通过活体(LEAu)和胴体进行里脊眼面积的超声测量。我们在活体中使用 39 只动物进行生物测量,在胴体中使用 42 只羊进行形态测量。对于胴体的物理和化学组成,在 42 只动物中进行了半左胴体的解剖。对数据进行了皮尔逊相关分析和 t 检验。使用逐步程序进行了简单和多元线性回归。活体测量与胴体物理和化学组成(kg)之间的所有相关性均显著,除了 LEAu。生物测量和热(HCW)和冷(CCW)胴体重被认为是胴体物理和化学组成的预测因子。屠宰体重(SBW)是评估活体测量和 HCW 以及 CCW 对胴体测量方程影响最大的变量。圣塔因尼斯羊的生物测量值可以与 SBW 一起用于估计胴体的物理和化学组成,重点是身体紧凑指数、胸宽、肩高和臀部高度。形态测量值可以与胴体重一起用于估计胴体的物理和化学组成,重点是臀部宽度、胴体紧凑指数、臀部周长、外部和内部胴体长度、胸宽、腿部长度和周长。HCW 可用于预测胴体的物理和化学组成,而不会影响预测模型的准确性。