Cálculo de la variabilidad en la composición química y nutritiva de los piensos para porcino

• Ll. Fabá ^[1] ; D. Solá Oriol ^[1] ; J. Gasa ^[1]
  1. [1] Universitat Autònoma de Barcelona

     Universitat Autònoma de Barcelona

     Barcelona, España

     
• Localización: XVI Jornadas sobre Producción Animal: 19 y 20 de mayo de 2015, Zaragoza / Javier Álvarez Rodríguez (aut.), Begoña Panea Doblado (aut.), Jorge Hugo Calvo Lacosta (aut.), Mireia Blanco Alibés (aut.), José Alfonso Abecia Martínez (aut.), Daniel Villalba Mata (aut.), María Ángeles Latorre Górriz (aut.), Vol. 1, 2015, ISBN 978-84-606-7969-1, págs. 290-292
• Idioma: español
• Títulos paralelos:
  • Calculation of the variability in chemical and nutritional composition of the final feeds for swine
• Enlaces
  • Texto Completo Libro
• Resumen

  • The ingredients commonly used in swine diets show a high variability and its impact directly affects the nutrient composition of the final feed. The aim of the present study was to evaluate the mathematic expression of Chung and Pfrost (1964) to quantify the variability of the chemical composition and nutritive value of six feed (regarding the inclusion level of the ingredients in the feed and their nutritional variability), compared to the variability obtained in practice for five months. The six feeds were classified into three types of diets (three, five and seven ingredients) based on two specifications: pigs (E) and gestating sows (G); formulated using FEDNA (2013) recommendations. Feed variability was obtained from updating the chemical and nutritional composition of several ingredient batches (obtained by NIRS) at fixed formulas in the formulation program. The nutritional variability of the same batches and ingredients (in coefficient of variation, CV) was used to perform the Chung and Pfrost calculation. These calculations, as CV%, generally overestimated slightly and showed a maximum difference of 1.6 and 1.9 points for crude fibre and lysine, respectively. Concluding that, variability of feed ingredients and raw materials analyzed by NIR, allows a correct estimation of the nutrients variability in the final feeds when using Pfrost and Chung (1964) expression.