Ruminal degradability and summative models evaluation for total digestible nutrients prediction of some forages and byproducts in goats.

ISRN veterinary science Pub Date : 2013-05-13 Print Date: 2013-01-01 DOI:10.1155/2013/532528
Oswaldo Rosendo, Luis Freitez, Rafael López
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引用次数: 4

Abstract

In in vitro true dry matter degradability (IVTDMD), in situ dry matter degradability, and neutral detergent fiber degradability, both in vitro (IVNDFD) and in situ (ISNDFD) techniques were used with crossbred goats to determine dry matter and neutral detergent fiber (NDF) ruminal degradability in eight forages and four industrial byproducts. Total digestible nutrients (TDN) content obtained with five different summative models (summative equations) were studied to compare the precision of estimates. All these models included digestible fractions of crude protein, ether extract, and nonfiber carbohydrates that were calculated from chemical composition, but digestible NDF (dNDF) was obtained from IVNDFD (IVdNDF), ISNDFD (ISdNDF), or by using the Surface Law approach. On the basis of the coefficient of determination (R (2)) of the simple lineal regression of predicted TDN (y-axes) and observed IVTDMD (x-axes), the precision of models was tested. The predicted TDN by the National Research Council model exclusively based on chemical composition only explains up to 41% of observed IVTDMD values, whereas the model based on IVdNDF had a high precision (96%) to predict TDN from forage and byproducts fiber when used in goats.

Abstract Image

山羊瘤胃降解率及总可消化营养物质预测的综合模型评价。
采用体外(IVNDFD)和原位(ISNDFD)技术测定杂交山羊8种牧草和4种工业副产物中干物质和中性洗涤纤维(NDF)的瘤胃降解率。研究了5种不同的求和模型(求和方程)求得的总可消化营养物质(TDN)含量,比较了估算的精度。所有这些模型都包括由化学组成计算的粗蛋白质、粗脂肪提取物和非纤维碳水化合物的可消化部分,但可消化的NDF (dNDF)是由IVNDFD (IVdNDF)、ISNDFD (ISdNDF)或使用表面定律方法获得的。根据预测TDN (y轴)与观测IVTDMD (x轴)简单线性回归的决定系数R(2),对模型的精度进行检验。国家研究委员会模型预测的TDN完全基于化学成分,只能解释高达41%的观察到的IVTDMD值,而基于IVdNDF的模型在山羊中使用时,从饲料和副产品纤维中预测TDN的精度很高(96%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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