1
|
da Silva RF, Ribeiro PHC, Silva YDS, Soares MADL, Ribeiro CVDM, Rangel AHDN, Ferreira MDA, Emerenciano Neto JV, Urbano SA. Weight Development and Growth Curves of Grazing Santa Inês Sheep Supplemented with Concentrate in the Pre-Weaning Phase. Animals (Basel) 2024; 14:1766. [PMID: 38929385 PMCID: PMC11201103 DOI: 10.3390/ani14121766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 06/07/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
Monitoring weight development is essential for decision-making and assessing the effectiveness of management strategies. However, this practice is often hindered by the lack of scales on farms. This study aimed to characterize the weight development and growth curves of male and female Santa Inês lambs from birth to weaning, managed on pasture with creep-fed concentrate supplementation. Data from 212 lambs during the pre-weaning phase were analyzed. The animals were weighed every seven days to evaluate total weight gain and average daily gain. Biometric measurements were taken every 28 days. Mixed models were used to assess the effects of sex and birth type on birth and weaning weights. Simple and multiple linear regression models were employed to estimate live weight using biometric measurements. The non-linear Gompertz model was utilized to describe weight development and formulate growth curves. Results were considered significant at p < 0.05. An interaction effect between birth type and sex (p < 0.05) was noted for birth weight, with the lowest weight observed in twin-birth females (2.96 kg) and the highest in single-birth males (3.73 kg) and females (3.65 kg) (p > 0.05). Birth type significantly influenced average daily gain, total weight gain, and weaning weight (p < 0.05). The Gompertz model accurately depicted the growth curves, effectively describing the weight development. Pearson's correlation coefficients between biometric measurements and weight were positive and significant (p < 0.05), ranging from 0.599 for hip height to 0.847 for heart girth. Consequently, the simple and multiple regression equations demonstrated high precision in predicting weaning weight. In conclusion, twin-birth lambs receiving concentrate supplementation via creep-feeding and managed on pasture showed different developmental patterns compared to single-birth lambs under the same conditions. The Gompertz model proved effective for monitoring development during the pre-weaning phase. All simple and multiple linear regression models were effective in predicting weaning weight through biometric measurements. However, for practical application, the model incorporating two measurements-body length and abdominal circumference-is recommended.
Collapse
Affiliation(s)
- Rodrigo Ferreira da Silva
- Academic Unit Specialized in Agrarian Sciences, Federal University of Rio Grande do Norte, Macaíba 59280-000, RN, Brazil; (R.F.d.S.); (P.H.C.R.); (Y.d.S.S.); (M.A.d.L.S.); (A.H.d.N.R.); (J.V.E.N.)
| | - Pedro Henrique Cavalcante Ribeiro
- Academic Unit Specialized in Agrarian Sciences, Federal University of Rio Grande do Norte, Macaíba 59280-000, RN, Brazil; (R.F.d.S.); (P.H.C.R.); (Y.d.S.S.); (M.A.d.L.S.); (A.H.d.N.R.); (J.V.E.N.)
| | - Yasmin dos Santos Silva
- Academic Unit Specialized in Agrarian Sciences, Federal University of Rio Grande do Norte, Macaíba 59280-000, RN, Brazil; (R.F.d.S.); (P.H.C.R.); (Y.d.S.S.); (M.A.d.L.S.); (A.H.d.N.R.); (J.V.E.N.)
| | - Maria Alice de Lima Soares
- Academic Unit Specialized in Agrarian Sciences, Federal University of Rio Grande do Norte, Macaíba 59280-000, RN, Brazil; (R.F.d.S.); (P.H.C.R.); (Y.d.S.S.); (M.A.d.L.S.); (A.H.d.N.R.); (J.V.E.N.)
| | | | - Adriano Henrique do Nascimento Rangel
- Academic Unit Specialized in Agrarian Sciences, Federal University of Rio Grande do Norte, Macaíba 59280-000, RN, Brazil; (R.F.d.S.); (P.H.C.R.); (Y.d.S.S.); (M.A.d.L.S.); (A.H.d.N.R.); (J.V.E.N.)
| | | | - João Virgínio Emerenciano Neto
- Academic Unit Specialized in Agrarian Sciences, Federal University of Rio Grande do Norte, Macaíba 59280-000, RN, Brazil; (R.F.d.S.); (P.H.C.R.); (Y.d.S.S.); (M.A.d.L.S.); (A.H.d.N.R.); (J.V.E.N.)
| | - Stela Antas Urbano
- Academic Unit Specialized in Agrarian Sciences, Federal University of Rio Grande do Norte, Macaíba 59280-000, RN, Brazil; (R.F.d.S.); (P.H.C.R.); (Y.d.S.S.); (M.A.d.L.S.); (A.H.d.N.R.); (J.V.E.N.)
| |
Collapse
|
2
|
Montoya-Santiyanes LA, Chay-Canul AJ, Camacho-Pérez E, Rodríguez-Abreo O. A novel model for estimating the body weight of Pelibuey sheep through Gray Wolf Optimizer algorithm. JOURNAL OF APPLIED ANIMAL RESEARCH 2022. [DOI: 10.1080/09712119.2022.2123812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Affiliation(s)
- Luis Alvaro Montoya-Santiyanes
- Universidad Politécnica de Querétaro, El Marqués, Querétaro, México
- Red de investigación OAC optimización, automatización y control, El Marqués, Querétaro, México
| | - Alfonso Juventino Chay-Canul
- División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Colonia Centro Tabasco, México
| | - Enrique Camacho-Pérez
- Red de investigación OAC optimización, automatización y control, El Marqués, Querétaro, México
- Tecnológico Nacional de México/Instituto Tecnológico Superior Progreso, Progreso, Yucatán, México
| | - Omar Rodríguez-Abreo
- Universidad Politécnica de Querétaro, El Marqués, Querétaro, México
- Red de investigación OAC optimización, automatización y control, El Marqués, Querétaro, México
| |
Collapse
|
3
|
Castillo-Sanchez L, Canul-Solís J, Pozo-Leyva D, Camacho-Perez E, Lugo-Quintal J, Chaves-Gurgel A, Santos G, Ítavo L, Chay-Canul A. Prediction of live weight in beef heifers using a body volume formula. ARQ BRAS MED VET ZOO 2022. [DOI: 10.1590/1678-4162-12886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
ABSTRACT The objective of this study was to develop and evaluate linear, quadratic, and allometric models to predict live weight (LW) using the body volume formula (BV) in crossbred heifers raised in southeastern Mexico. The LW (426.25±117.49kg) and BV (338.05±95.38 dm3) were measured in 360 heifers aged between 3 and 30 months. Linear and non-linear regression were used to construct prediction models. The goodness-of-fit of the models was evaluated using the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), coefficient of determination (R2), mean squared error (MSE), and root MSE (RMSE). In addition, the developed models were evaluated through cross-validation (k-folds). The ability of the fitted models to predict the observed values was evaluated based on the RMSEP, R2, and mean absolute error (MAE). The quadratic model had the lowest values of AIC (2688.39) and BIC (2700.05). On the other hand, the linear model showed the lowest values of MSE (7954.74) and RMSE (89.19), and the highest values of AIC (2709.70) and BIC (2717.51). Despite this, all models presented the same R2 value (0.87). The cross-validation (k-folds) evaluation of fit showed that the quadratic model had better values of MSEP (41.49), R2 (0.85), and MAE (31.95). We recommend the quadratic model to predictive of the crossbred beef heifers' live weight using the body volume as the predictor.
Collapse
Affiliation(s)
| | - J.R. Canul-Solís
- Tecnológico Nacional de México/ Instituto Tecnológico de Tizimín, México
| | | | - E. Camacho-Perez
- Tecnológico Nacional de México/Instituto Tecnológico de Progreso, México
| | - J.M. Lugo-Quintal
- Tecnológico Nacional de México/Instituto Tecnológico de Progreso, México
| | | | | | - L.C.V. Ítavo
- Universidade Federal de Mato Grosso do Sul, Brazil
| | | |
Collapse
|
4
|
Chico-Alcudia DR, Portillo-Salgado R, Camacho-Pérez E, Peralta-Torres JA, Angeles-Hernandez JC, Muñoz-Benitez AL, Lendechy VHS, Gurgel ALC, Dos Santos Difante G, Ítavo LCV, Chay-Canul AJ. Models to predict live weight from heart girth in crossbred beef heifers. Trop Anim Health Prod 2022; 54:275. [PMID: 36070021 DOI: 10.1007/s11250-022-03276-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/31/2022] [Indexed: 11/30/2022]
Abstract
The objective of this study was to develop and evaluate linear, quadratic, and exponential mathematical models to predict live weight (LW) from heart girth (HG) in crossbred heifers raised in tropical humid conditions in Mexico. Live weight (363.32 ± 150.88 kg) and HG (166.83 ± 24.88 cm) were measured in 400 heifers aged between 3 and 24 months. Linear and non-linear regression was used to construct the prediction models. The goodness of fit of the models was evaluated using the Akaike information criterion (AIC), the Bayesian information criterion (BIC), coefficient of determination (R2), mean squared error (MSE), and root MSE (RMSE). In addition, the developed models were evaluated through internal and external cross-validation (k-folds) using independent data. The ability of the fitted models to predict the observed values was evaluated based on the root mean square error of prediction (RMSEP), R2, and mean absolute error (MAE). The correlation coefficient between LW and HG was r = 0.98 (P < 0.001). The quadratic model showed the lowest values of MAE (736.57), RMSEP (27.13), AIC (3783.95), and BIC (3799.91). Additionally, this model exhibited better goodness-of-fit values regarding external and internal validation criteria (higher R2 and lower RMSEP and MAE), thus having better predictive performance. The RMSE represented about 8% of the observed LW. Heart girth is highly correlated (r = 0.98) with LW. The quadratic model showed a high predictive capacity for crossbred heifers kept in tropical conditions.
Collapse
Affiliation(s)
- Denis R Chico-Alcudia
- División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Tabasco, Mexico
| | | | - Enrique Camacho-Pérez
- Tecnológico Nacional de México, Instituto Tecnológico Superior Progreso, Yucatán, Mexico
| | - Jorge A Peralta-Torres
- División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Tabasco, Mexico
| | - Juan C Angeles-Hernandez
- Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Tulancingo de Bravo, Hidalgo, Mexico
| | - Alfonso L Muñoz-Benitez
- Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Tulancingo de Bravo, Hidalgo, Mexico
| | | | - Antonio Leandro Chaves Gurgel
- Faculdade de Medicina Veterinária E Zootecnia, Universidade Federal Do Mato Grosso Do Sul, Campo Grande, MS, Brazil.
| | - Gelson Dos Santos Difante
- Faculdade de Medicina Veterinária E Zootecnia, Universidade Federal Do Mato Grosso Do Sul, Campo Grande, MS, Brazil
| | - Luís Carlos Vinhas Ítavo
- Faculdade de Medicina Veterinária E Zootecnia, Universidade Federal Do Mato Grosso Do Sul, Campo Grande, MS, Brazil
| | - Alfonso J Chay-Canul
- División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Tabasco, Mexico
| |
Collapse
|
5
|
Salazar-Cuytun R, Portillo-Salgado R, García-Herrera R, Camacho-Pérez E, Zaragoza-Vera C, Gurgel A, Muñoz-Osorio G, Chay-Canul A. Prediction of live weight in growing hair sheep using the body volume formula. ARQ BRAS MED VET ZOO 2022. [DOI: 10.1590/1678-4162-12624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
ABSTRACT Due to the conditions in which traditional sheep production systems operate, the evaluation of animal growth from live weight (LW) is limited by the high cost of the livestock scale as well as the sophisticated maintenance required. In this scenario, in recent years, biometric measurements have been investigated as an accurate indirect method to predict the LW of farm animals. Therefore, the present study was undertaken to examine different models for predicting the body weight of growing lambs using the body volume (BV) formula. Body volume, heart girth (HG) and body length (BL) data of 290 lambs aged between two and eight months were recorded. Body volume was calculated from HG and BL data using a formula that calculates the volume of a cylinder. The estimation of LW from the BV formula was achieved through regression equations using three mathematical models (linear, quadratic and exponential). The mean values of LW, HG, BL and BV of the lambs were 29.12±12.04kg, 70.00±11.69cm, 38.40±6.43cm and 23.93±9.90dm3, respectively. The correlation coefficient between LW and BV was r = 0.96 (P<0.001). The quadratic model showed the highest coefficient of determination (0.93) and the lowest prediction error (3.29kg). Under the experimental conditions adopted in this study, it is possible to predict the live weight of growing lambs using the body volume formula.
Collapse
Affiliation(s)
- R. Salazar-Cuytun
- Universidad Autónoma de Yucatán, Mexico; Universidad Juárez Autónoma de Tabasco, Mexico
| | | | | | | | | | | | - G.A. Muñoz-Osorio
- Secretaria de Investigación, Innovación y Educación Superior, México
| | | |
Collapse
|
6
|
Sant’Ana DA, Pache MCB, Martins J, Soares WP, de Melo SLN, Garcia V, de Moares Weber VA, da Silva Heimbach N, Mateus RG, Pistori H. Weighing live sheep using computer vision techniques and regression machine learning. MACHINE LEARNING WITH APPLICATIONS 2021. [DOI: 10.1016/j.mlwa.2021.100076] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
|
7
|
Prediction of Carcass Traits of Santa Inês Lambs Finished in Tropical Pastures through Biometric Measurements. Animals (Basel) 2021; 11:ani11082329. [PMID: 34438786 PMCID: PMC8388382 DOI: 10.3390/ani11082329] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/06/2021] [Accepted: 07/14/2021] [Indexed: 11/17/2022] Open
Abstract
The aim of this study was to predict carcass traits of Santa Inês lambs finished in tropical pastures by using biometric measurements. Data originated from two experiments involving 56 lambs (32 in experiment I and 24 in experiment II). In both experiments, the sheep were finished in that were finished in pastures of Panicum maximum and Brachiaria brizantha, experiment I being conducted in the rainy season and experiment II in the dry season. The following biometric measurements were recorded before slaughter: body length (BL), withers height (WH), rump height (RH), thorax width (TW), rump width (RW), chest width (CW), heart girth (HG), thigh circumference (TC), rump circumference (RC) and leg length (LL), in addition to live weight at slaughter (SW). After slaughter, hot carcass weight (HCW), cold carcass weight (CCW) and the weights of primal cuts (shoulder, neck, loin, leg and rib) were recorded. In the equations generated to predict SW, HCW and CCW, R2 ranged from 0.58 to 0.91 and the measurements of WH, TC, CW, HG and RW were the most relevant. In the equations developed to predict the weight of primal cuts, in turn, R2 ranged from 0.26 to 0.99. In these models, SW, BL, CW, TC, LL and HG explained most of the variation in the weight of primal cuts. Biometric measurements can be used to accurately and precisely predict HCW, CCW and the weight of primal cuts from the carcass of Santa Inês sheep finished in tropical pastures, since the equations presented R2 and correlation coefficient and agreement above 0.8.
Collapse
|