Predictive biometrics of hair sheep through digital imaging

IF 0.5 4区 农林科学 Q4 VETERINARY SCIENCES
A. Chay-Canul, Jorge Tapia González, J. Canul-Solís, F. Casanova‐Lugo, Á. Piñeiro-Vázquez, R. Portillo-Salgado, R. García-Herrera, E. Vargas-Bello-Pérez
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引用次数: 0

Abstract

Direct collection of biometric measurements (BM) from sheep is an expensive and stressful procedure for animals; instead, indirect and novel methods have recently been used. The objective of this study was to use digital image analysis (DIA) to predict biometric measurements of Pelibuey sheep as a non-invasive approach under on-farm conditions. Withers height (WH), body length (BL), body diagonal length (BDL) and rib depth (RD) were predicted in Pelibuey ewes using DIA. Images were taken from the left flank from 65 non-pregnant and non-lactating Pelibuey ewes using a digital camera and analyzed by DIA. The BM determined from both in vivo and by DIA presented a positive and moderate (P <0.05) correlation coefficients (r) of 0.43, 0.66, 0.73 and 0.75 for BL, BDL, WH and RD, respectively. Regression equations from BM by DIA had a determination coefficient (R2) of 0.19, 0.44, 0.54 and 0.56 for BL, BDL, WH and RD, respectively. The equations developed were from low to moderate precision (R2 = 0.18 to 55), moderate to high accuracy (Cb > 0.69) and low to moderate reproducibility index (> 0.30). Overall, the use of DIA was able to predict the BM in Pelibuey ewes with low to moderate precision and accuracy. Factors affecting the accuracy and precision of this relationship should be further investigated.
毛羊的数字成像预测生物特征
直接从绵羊身上采集生物特征测量值(BM)对动物来说是一项昂贵且压力很大的程序;相反,最近使用了间接和新颖的方法。本研究的目的是使用数字图像分析(DIA)来预测Pelibuey绵羊的生物特征测量,作为一种在农场条件下的非侵入性方法。用DIA预测了Pelibuey母羊的穗高(WH)、体长(BL)、体对角线长度(BDL)和肋骨深度(RD)。使用数码相机从65只未怀孕和未哺乳的Pelibuey母羊的左侧拍摄图像,并由DIA进行分析。体内和DIA测定的BM呈现阳性和中度(P 0.69)以及低至中度再现性指数(>0.30)。总体而言,DIA的使用能够以低至中度的精度和准确性预测Pelibuey母羊的BM。应进一步研究影响这种关系的准确性和精确性的因素。
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来源期刊
Veterinaria Mexico
Veterinaria Mexico Veterinary-General Veterinary
CiteScore
1.60
自引率
0.00%
发文量
16
期刊介绍: Veterinaria México OA (ISSN 2448-6760) is an online scientific journal edited by Universidad Nacional Autónoma de México (UNAM). The journal is Open Access and follows UNAM''s initiative, to transmit knowledge free of charge to the readership and authors, with no Article Processing Charges. This journal publishes advances in Veterinary Sciences and Animal Production, and to reach more lectures across the world the journal was updated since 2014 from its predecessor printed in paper Veterinaria México (ISSN 0301-5092) and its digital version (ISSN 2007-5472).
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