Avaliação do modelo CNCPS na predição do consumo de matéria seca em vacas da raça Holandesa em pastejo
作者： Ana Cristina Wyllie Elyas , Paulo César de Aguiar Paiva , Fernando César Ferraz Lopes , Duarte Vilela , Pedro Braga Arcuri
DOI: 10.1590/S1516-35982009000600018
关键词: Composition (visual arts) 、 Dry matter 、 Animal science 、 Chromium oxide 、 Forage 、 Pasture 、 Silage 、 Grazing 、 Food science 、 Dairy cattle 、 Chemistry
摘要: The aim of this work was to evaluate the ability Cornell Net Carbohydrate and Protein System (CNCPS) version 5.0 estimate dry matter intake (DMI) grazing lactating Holstein cows, coast-cross pasture supplemented with corn silage concentrate (3 or 6 kg/cow/day). Six experiments were carried out, 12 cows each. fed 17 kg/cow/day ensilage in three experiments. chemical composition extrusa samples forage determined, obtained using an esophageous fistulated cow. estimates 5 g chromium oxide (Cr2O3) methodology supplied two times a day. Data corresponding animals (body weight, age, milk yield racial type), environment (temperature, air relative humidity management condition) feed each experimental period provided program. DMI values predicted by CNCPS model close those methodology.
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