A meta-analysis for comparing dry matter intake prediction models in dairy goats

• Published in: Congresos y Jornadas. Serie Producción Animal - Asociación Interprofesional para el Desarrollo Agrario (España) pp. 216 - 218
• Main Authors: 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
• Format: Conference Proceeding
• Language: Spanish
• Published: Zaragoza (España) AIDA 2011
• Subjects: ALIMENTACION DE LOS ANIMALES; ALIMENTATION DES ANIMAUX; ANALYTICAL METHODS; ANIMAL FEEDING; BESOIN ALIMENTAIRE; BOVIN LAITIER; CABRA; CHEVRE; COMPOSICION APROXIMADA; COMPOSITION GLOBALE; DAIRY CATTLE; DESICCATED FODDERS; DIGESTIBILIDAD; DIGESTIBILITE; DIGESTIBILITY; FEED INTAKE; FOOD REQUIREMENTS; FORECASTING; FORRAJE SECO; FOURRAGE DESSECHE; GANADO DE LECHE; http://www.fao.org/aos/agrovoc#c_1513; http://www.fao.org/aos/agrovoc#c_16126; http://www.fao.org/aos/agrovoc#c_17209; http://www.fao.org/aos/agrovoc#c_2108; http://www.fao.org/aos/agrovoc#c_2207; http://www.fao.org/aos/agrovoc#c_2266; http://www.fao.org/aos/agrovoc#c_3041; http://www.fao.org/aos/agrovoc#c_32803; http://www.fao.org/aos/agrovoc#c_429; http://www.fao.org/aos/agrovoc#c_5066; http://www.fao.org/aos/agrovoc#c_7377; INGESTION DE PIENSOS; METHODE STATISTIQUE; METODOS ESTADISTICOS; NANNYGOATS; NECESIDADES ALIMENTARIAS; PRISE ALIMENTAIRE (ANIMAUX); PROXIMATE COMPOSITION; STATISTICAL METHODS; TECHNIQUE ANALYTIQUE; TECHNIQUE DE PREVISION; TECNICAS ANALITICAS; TECNICAS DE PREDICCION
• ISBN: 9788461500628; 8461500628

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).