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Mathematical models to predict the lamb weight at birth and at weaning reared in the tropical warm-climate pasture.
de Melo, Gleice Kelli Ayardes; Ítavo, Camila Celeste Brandão Ferreira; Ítavo, Luís Carlos Vinhas; Gurgel, Antônio Leandro Chaves; Dos Santos Difante, Gelson; Longhini, Vanessa Zirondi; Dias, Alexandre Menezes; de Melo Soares, Evelyn Silva; da Silva Heimbach, Natália; da Silva, Pâmila Carolini Gonçalves; de Souza Arco, Thais Fernanda Farias; da Silva, Jonilson Araújo; Ferelli, Kedma Leonora Silva Monteiro; da Silva Miguel, Aline Aparecida; de Godoy, Camila; de Andrade, Priscila Bernardo.
Afiliação
  • de Melo GKA; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil. gleice.melo@ufms.br.
  • Ítavo CCBF; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • Ítavo LCV; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • Gurgel ALC; Federal University of Piaui, Bom Jesus, Piauí, 64900-000, Brazil.
  • Dos Santos Difante G; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • Longhini VZ; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • Dias AM; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • de Melo Soares ES; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • da Silva Heimbach N; Dom Bosco Catholic University, Campo Grande, Mato Grosso Do Sul, 79117-900, Brazil.
  • da Silva PCG; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • de Souza Arco TFF; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • da Silva JA; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • Ferelli KLSM; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • da Silva Miguel AA; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • de Godoy C; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
  • de Andrade PB; College of Veterinary Medicine and Animal Science - FAMEZ, Universidade Federal de Mato Grosso Do Sul, Campo Grande, Mato Grosso Do Sul, 79070-900, Brazil.
Trop Anim Health Prod ; 55(5): 330, 2023 Sep 26.
Article em En | MEDLINE | ID: mdl-37749453
ABSTRACT
Our objective was to evaluate the productive parameters of ewes and their lambs in relation to ewe age and to develop models for predicting lamb weight at birth and weaning in a tropical warm-climate pasture. Individual data were collected from 273 ewes and 273 lambs, between 2013 and 2021. During this period all animals were kept on pastures of Brachiaria brizantha cv. Marandu All lambs in the experiments were supplemented in creep-feeding. A descriptive statistical analysis was performed using the PROC SUMMARY procedure in SAS (SAS University Edition, SAS Institute Inc. Cary, CA, USA). Pearson correlation coefficients between variables were estimated using the PROC CORR procedure in SAS (SAS University Edition, SAS Institute Inc. Cary, CA, USA). Model adjustments and variable selection were performed using PROC REG in SAS (SAS University Edition, SAS Institute Inc. Cary, CA, USA). The STEPWISE option and Mallow's C(p) were used to select the variables included in the equations. Outliers were identified by evaluating the studentized residuals based on the predicted values from the equations. Residual analysis was predicted by regression minus observed values and those that fell outside the range of -2.5 to 2.5 were removed. Several statistics were used to assess the predictability of the equations, including the coefficients of determination (r2) and mean standard error (RMSE). The average ewe age at lambing was 3.4 ± 1.7 years, with an average weight of 56.9 ± 8,9 kg and average body condition score (BCS) of 2,4 ± 0.8 points. The average ewe age at weaning was 51.1 ± 7.9, with average BCS of 1.8 ± 0.8 points. The average lamb at birthing was 3.9 ± 0.9 kg. The average lamb at weaning was 21.0 ± 4.9, with daily gain of 0.2 ± 0.1 kg/day and total gain of 17.1 ± 4.7 kg birth to weaning. The lamb produced by ewe at lambing was 5.3 ± 1.7 kg/ewe. The lamb weaned by ewe at weaning was 28.7 ± 10.8 kg/ewe. The ratios of lamb produced per ewe at birth and at weaning were 0.1 ± 0.03 and 0.6 ± 0.2, respectively. The lamb's birth weight showed a positive linear relationship with the age of the ewe, increasing by 115 g per year of age. The regression equations adjusted for ewe age had maximum points ranging from 4.2 to 5.2, occurring at average age of 4,7 years. The other characteristics showed a quadratic tendency. The results suggest the culling of ewes at five years of age to generate lambs with ideal weight at birth and at weaning raised in warm tropical pastures.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carneiro Doméstico / Brachiaria Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carneiro Doméstico / Brachiaria Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article