Prediction of the in vivo digestibility of whole crop wheat from in vitro digestibility, chemical composition, in situ rumen degradability, in vitro gas production and near infrared reflectance spectroscopy

被引:28
作者
Adesogan, AT
Owen, E
Givens, DI
机构
[1] Univ Reading, Dept Agr, Reading RG6 6AT, Berks, England
[2] ADAS Drayton, Stratford On Avon CV37 9RQ, England
关键词
nutritive value; prediction; whole crop; digestibility; in vitro;
D O I
10.1016/S0377-8401(98)00175-8
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Twenty-six winter wheat forages (cultivars Slepjner, Hussar and Cadenza) harvested at three stages of maturity in each of two years, were conserved with or without Maxgrass additive or with urea (20 or 40 g kg(-1) dry matter; DM) in 2001 barrels. The forages were analysed for in vivo digestibility in wethers, chemical composition, in vitro rumen fluid-pepsin digestibility, in vitro neutral detergent-cellulase plus gamannase digestibility (NCGD), in vitro fermentation gas production and in situ rumen degradability. Forages were also scanned using near-infrared reflectance spectroscopy (NIRS) and calibration equations developed for predicting in vivo digestibility, In vivo digestible organic matter content (DOMD) was poorly predicted by cell wall content (r(2) less than or equal to 0.19), NCGD (r(2) less than or equal to 0.41), rumen fluid DOMD (r(2) less than or equal to 0.41), rumen degradability (r(2) less than or equal to 0.44) and in vitro gas production (r(2) less than or equal to 0.26). Although crude protein content was a better predictor (r(2) less than or equal to 0.48), the relationship differed (P<0.05) with the year of harvest of the forages. In contrast, NIRS was a more accurate and consistent predictor of DOMD in vivo (r(2) = 0.87). This study indicates that traditional laboratory-based feed evaluation techniques are unsuitable for predicting the DOMD of WCW, but that NIRS holds promise. However, as only 26 forages were used to derive the calibration equation, further research is required using large (150) data sets to validate the promise shown by NIRS and enable its adoption by the advisory services. (C) 1998 Elsevier Science B.V.
引用
收藏
页码:259 / 272
页数:14
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