Use of Biometric Images to Predict Body Weight and Hot CarcassWeight of Nellore Cattle

Author(s)

Cominotte, Alexandre ; Fernandes, Arthur ; Dorea, Joao ; Rosa, Guilherme ; Torres, Rodrigo ; Pereira, Guilherme ; Baldassini, Welder ; Machado Neto, Otavio

• Document type: Journal article
• Source: ANIMALS; v. 13, n. 10, p. 12-pg., 2023-05-18.

Abstract

The objective of this study was to evaluate different methods of predicting body weight (BW) and hot carcass weight (HCW) from biometric measurements obtained through three-dimensional images of Nellore cattle. We collected BW and HCW of 1350 male Nellore cattle (bulls and steers) from four different experiments. Three-dimensional images of each animal were obtained using the Kinect((R)) model 1473 sensor (Microsoft Corporation, Redmond, WA, USA). Models were compared based on root mean square error estimation and concordance correlation coefficient. The predictive quality of the approaches used multiple linear regression (MLR); least absolute shrinkage and selection operator (LASSO); partial least square (PLS), and artificial neutral network (ANN) and was affected not only by the conditions (set) but also by the objective (BW vs. HCW). The most stable for BW was the ANN (Set 1: RMSEP = 19.68; CCC = 0.73; Set 2: RMSEP = 27.22; CCC = 0.66; Set 3: RMSEP = 27.23; CCC = 0.70; Set 4: RMSEP = 33.74; CCC = 0.74), which showed predictive quality regardless of the set analyzed. However, when evaluating predictive quality for HCW, the models obtained by LASSO and PLS showed greater quality over the different sets. Overall, the use of three-dimensional images was able to predict BW and HCW in Nellore cattle. (AU)

• FAPESP's process: 21/07222-5 - Effect of vitamin A restriction in finisher diets of F1 Angus animals with positive DEP for marbling on muscle gene and proteomic expression and the mechanisms involved in muscle fat deposition
• Grantee: Rodrigo de Nazaré Santos Torres
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 17/02057-0 - Use of visual scores and biometric image in Nellore cattle
• Grantee: Alexandre Cominotte
• Support Opportunities: Scholarships in Brazil - Master
• FAPESP's process: 17/20812-0 - Prediction of body weight and hot carcass weight of Nellore cattle using digital images
• Grantee: Alexandre Cominotte
• Support Opportunities: Scholarships abroad - Research Internship - Master's degree