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首页> 外文期刊>Journal of animal science >Estimates of diet selection in cattle grazing cornstalk residues by measurement of chemical composition and near infrared reflectance spectroscopy of diet samples collected by ruminal evacuation
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Estimates of diet selection in cattle grazing cornstalk residues by measurement of chemical composition and near infrared reflectance spectroscopy of diet samples collected by ruminal evacuation

机译：通过测量瘤胃抽空收集的饲料样品的化学成分和近红外反射光谱法，估计吃草玉米秸秆残留物的牛的饲料选择

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Six ruminally cannulated cows (570 ± 73 kg) fed corn residues were placed in a 6 × 6 Latin square to evaluate predictions of diet composition from ruminally collected diet samples. After complete ruminal evacuation, cows were fed 1-kg meals (dry matter [DM]-basis) containing different combinations of cornstalk and leaf and husk (LH) residues in ratios of 0:100, 20:80, 40:60, 60:40, 80:20, and 100:0. Diet samples from each meal were collected by removal of ruminal contents after 1-h and were either unrinsed, hand-rinsed or machine-rinsed to evaluate effects of endogenous compounds on predictions of diet composition. Diet samples were analyzed for neutral (NDF) and acid (ADF) detergent fiber, acid detergent insoluble ash (ADIA), acid detergent lignin (ADL), crude protein (CP), and near infrared reflectance spectroscopy (NIRS) to calculate diet composition. Rinsing type increased NDF and ADF content and decreased ADIA and CP content of diet samples (P 0.01). Rinsing tended to increase (P 0.06) ADL content of diet samples. Differences in concentration between cornstalk and LH residues within each chemical component were standardized by calculating a coefficient of variation (CV). Accuracy and precision of estimates of diet composition were analyzed by regressing predicted diet composition and known diet composition. Predictions of diet composition were improved by increasing differences in concentration of chemical components between cornstalk and LH residues up to a CV of 22.6 ± 5.4%. Predictions of diet composition from unrinsed ADIA and machine-rinsed NIRS had the greatest accuracy (slope = 0.98 and 0.95, respectively) and large coefficients of determination (r2 = 0.86 and 0.74, respectively). Subsequently, a field study (Exp. 2) was performed to evaluate predictions of diet composition in cattle (646 ± 89 kg) grazing corn residue. Five cows were placed in 1 of 10 paddocks and allowed to graze continuously or to strip-graze corn residues. Predictions of diet composition from ADIA, ADL, and NIRS did not differ (P = 0.99), and estimates of cornstalk intake tended to be greater (P = 0.09) in strip-grazed compared to continuously grazed cows. These data indicate that diet composition can be predicted by chemical components or NIRS by ruminal collection of diet samples among cattle grazing corn residues.
机译：将六只瘤胃插管的牛（570±73公斤）饲喂的玉米残渣放在6×6的拉丁方格中，以评估由瘤胃采集的日粮样品预测的日粮组成。完全瘤胃排空后，给牛饲喂1公斤大餐（以干物质[DM]为基础），其中包含玉米秸秆和叶皮（LH）残留量的不同组合，比例为0：100、20：80、40：60、60 ：40、80：20和100：0。 1小时后通过去除瘤胃内容物收集每顿饭的饮食样品，然后不漂洗，手漂洗或机漂洗以评估内源性化合物对饮食组成预测的影响。分析饮食样品中的中性（NDF）和酸（ADF）清洁剂纤维，酸性清洁剂不溶性灰分（ADIA），酸性清洁剂木质素（ADL），粗蛋白（CP）和近红外反射光谱（NIRS）以计算饮食组成。漂洗类型增加了日粮中NDF和ADF的含量，降低了ADIA和CP的含量（P <0.01）。漂洗倾向于增加饮食样品的ADL含量（P <0.06）。通过计算变异系数（CV）标准化每个化学成分中玉米秸秆和LH残留物之间的浓度差异。通过回归预测的饮食组成和已知的饮食组成来分析饮食组成估计的准确性和精确性。通过增加玉米秸秆和LH残留物之间的化学成分浓度差异，最高CV为22.6±5.4％，可以改善饮食组成的预测。用未冲洗的ADIA和机器冲洗的NIRS预测饮食组成的准确性最高（斜率分别为0.98和0.95），测定系数较大（分别为r2 = 0.86和0.74）。随后，进行了一项野外研究（实验2），以评估放牧玉米残留物的牛（646±89公斤）的日粮组成预测。将五头母牛放在10个牧场中的1个中，让它们连续放牧或剥去玉米残留物。来自ADIA，ADL和NIRS的日粮组成的预测没有差异（P = 0.99），与连续放牧的母牛相比，脱皮奶牛的玉米秸秆摄入量估计更高（P = 0.09）。这些数据表明，日粮组成可以通过化学成分或NIRS通过瘤胃收集放牧玉米残留物中的日粮样品来预测。

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