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
{"title":"Predictive biometrics of hair sheep through digital imaging","authors":"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","doi":"10.22201/fmvz.24486760e.2023.1150","DOIUrl":null,"url":null,"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.","PeriodicalId":56044,"journal":{"name":"Veterinaria Mexico","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Veterinaria Mexico","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.22201/fmvz.24486760e.2023.1150","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
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.
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).