A meta-analysis for comparing dry matter intake prediction models in dairy goats | Comparación de modelos de predicción de la ingestión de materia seca en cabras lecheras mediante meta-análisis
2011
Caja, G., Universitat Autònoma de Barcelona, Bellaterra (España). Facultat de Veterinària | Roca, X., Universitat Autònoma de Barcelona, Bellaterra (España). Facultat de Veterinària | Salama, A.K.K., Universitat Autònoma de Barcelona, Bellaterra (España). Facultat de Veterinària
Currently available models for dairy goats (INRA, 2007; NRC, 2007; Avondo et al., 2008) estimated dry matter intake (DMI) from body weight (BW) and milk yield (MY). A model comparison for similar BW showed marked differences in predicted DMI depending on MY (0 to 6 L/d). A meta-analysis of dairy goat intake data published in 125 papers indexed in PubMed and Science Direct was done, resulting in a total of 219 values normally distributed. Milk yield was standardized to 3.5% milk fat (MY sub(3.5%)). Goat performances ranged from 29.0 to 85.5 kg BW, 0.4 to 6.2 L/d MY sub(3.5%) and 0.8 to 3.5 kg DMI/d. Prediction models were (+/- SEM; P < 0.001): DMI (+/- 0.099) = 1.233 + 0.370 x MY sub(3.5%); R2 = 0.69 DMI (+/- 0.075) = 0.553 + 0.277 x MY sub(3.5%) + 0.018 x BW; R2 = 0.76 The meta-analysis models showed the lowest error of prediction (-0.030 kg DM/d), being lower than those of the Avondo et al. (-0.092 kg DM/d) and INRA (-0.101 kg DM/d) models. On the contrary, the NRC overestimated intake (+0.185 kg DM/d).
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