Predição do Consumo Voluntário do Capim-Tanzânia (Panicum maximum, J. cv. tanzânia), sob Pastejo, por Vacas em Lactação, a partir das Características de Degradação
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Data
2001-12-01
Autores
Soares, João Paulo Guimarães [UNESP]
Salman, Ana Karina Dias [UNESP]
Berchielli, Telma Teresinha [UNESP]
Aroeira, Luiz Januário Magalhães
Verneque, Rui da Silva
Título da Revista
ISSN da Revista
Título de Volume
Editor
Sociedade Brasileira de Zootecnia
Resumo
O consumo de matéria seca (CMS) do capim tanzânia de 24 vacas lactantes mestiças (HPB x Gir) e Gir, sob pastejo, foi estimado no mês de janeiro de 1998, a partir da relação entre a digestibilidade da MS da forragem e a produção fecal obtida com auxílio do cromo mordente por meio de um modelo não-linear. Os resultados do consumo estimado foram comparados aos consumos preditos por diferentes equações baseadas nos dados de degradabilidade do capim, no rúmen. A pastagem foi manejada com taxa de lotação de dois animais/ha, em sistema de pastejo rotativo com três dias de ocupação do piquete e 39 dias de descanso. Foram utilizadas para predizer o CMS diferentes equações: CMS = -1,19 + 0,035 (a+ b) + 28,5c (1), CMS = -0,822 + 0,0748 (a+ b) + 40,7c (2), CMS = -8,286 + 0,266a + 0,102b +17,696c (3) e CMS = [%FDN na MS]* [consumo de FDN ] / [(1-a-b)/K P +b/(c+ k p)]/24] (4). As equações, em geral, subestimaram o consumo obtido no modelo não-linear (9,6 kg/vaca/dia). Os consumos médios de capim de 6,2 e 6,0 kg MS/vaca/dia obtidas, respectivamente, nas equações de (2) e (4) foram semelhantes entre si e inferiores ao das equações de (1) (12,7 kg/vaca/dia) e (3) (8,1 kg/vaca/dia). A predição do consumo de forrageiras tropicais, sob pastejo, utilizando-se as equações baseadas nas variáveis da degradação in situ, constitui um importante potencial para estas avaliações. Entretanto, mais estudos dessa natureza devem ser realizados para validar o uso destas equações na prática.
Dry matter intake (DMI) of Tanzania grass under grazing conditions was estimated using 24 Holstein-Zebu and Gir cows from the in vitro dry matter digestibility of extrusa samples (esophageal fistulated cows) and fecal output. The fecal output was estimated using chromium mordant and a non-linear model. The pasture was managed in a rotational system with three days paddock occupation and 39 days of resting period. The stocking rate was 2.0 cows/ha during the rainy season. Four different equations based on in situ degradation characteristics were used to predict DMI: DMI = -1.19 + 0.035 (a+ b) + 28.5c (1), DMI = -0.822 + 0.0748 (a+ b) + 40.7c (2), DMI = -8.286 + 0.266a + 0.102b +17.696c (3) and DMI = [%FDN MS]* [FDN intake] / [(1-a-b)/K P +b/(c+ k p)]/24] (4). The DMI predicted from the equations, in general, underestimated the results obtained with the non-linear model (9.6 kg DM/cow/day). The DMI data using the equations (2) and (4) (6.2 and 6.0 kg of DM/cow/day) were similar and different from the results obtained using equations (1) (12.7 kg DM/cow/day) and (3) (8.1 kg DM/cow/day). All the DMI were underestimated in relation to results from the non-linear model, except those from equation (1). The prediction of tropical forages intake, under grazing condition using equations based in degradation characteristics constitute an important tool for these evaluations. Eventhough, more studies need to be done to validate these equations in practice.
Dry matter intake (DMI) of Tanzania grass under grazing conditions was estimated using 24 Holstein-Zebu and Gir cows from the in vitro dry matter digestibility of extrusa samples (esophageal fistulated cows) and fecal output. The fecal output was estimated using chromium mordant and a non-linear model. The pasture was managed in a rotational system with three days paddock occupation and 39 days of resting period. The stocking rate was 2.0 cows/ha during the rainy season. Four different equations based on in situ degradation characteristics were used to predict DMI: DMI = -1.19 + 0.035 (a+ b) + 28.5c (1), DMI = -0.822 + 0.0748 (a+ b) + 40.7c (2), DMI = -8.286 + 0.266a + 0.102b +17.696c (3) and DMI = [%FDN MS]* [FDN intake] / [(1-a-b)/K P +b/(c+ k p)]/24] (4). The DMI predicted from the equations, in general, underestimated the results obtained with the non-linear model (9.6 kg DM/cow/day). The DMI data using the equations (2) and (4) (6.2 and 6.0 kg of DM/cow/day) were similar and different from the results obtained using equations (1) (12.7 kg DM/cow/day) and (3) (8.1 kg DM/cow/day). All the DMI were underestimated in relation to results from the non-linear model, except those from equation (1). The prediction of tropical forages intake, under grazing condition using equations based in degradation characteristics constitute an important tool for these evaluations. Eventhough, more studies need to be done to validate these equations in practice.
Descrição
Palavras-chave
Degradability, Intake, mordanted chromium, Pasture, prediction equations, Tropical forages, cromo mordente, degradabilidade, estimativa de consumo, equações de predição, forrageiras tropicais, Pastagem
Como citar
Revista Brasileira de Zootecnia. Sociedade Brasileira de Zootecnia, v. 30, n. 6, p. 2176-2182, 2001.