首页> 美国卫生研究院文献>Journal of Animal Science >Assessment of fecal near-infrared spectroscopy to predict feces chemical composition and apparent total-tract digestibility of nutrients in pigs
【2h】

Assessment of fecal near-infrared spectroscopy to predict feces chemical composition and apparent total-tract digestibility of nutrients in pigs

机译:评估粪便近红外光谱以预测猪的粪便化学成分和表观总道消化率

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Apparent total-tract digestibility (>ATTD) of nutrients could be an alternative measure of feed efficiency (>FE) when breeding for robust animals that are fed fiber-rich diets. Apparent total-tract digestibility of nutrients requires measuring individual feed intake of a large number of animals which is expensive and complex. Alternatively, ATTD of nutrients and feces chemical composition can be predicted using fecal near-infrared reflectance spectroscopy (>FNIRS). The objective of this study was to assess if the feces chemical composition and ATTD of nutrients can be predicted using FNIRS that originate from various pig-experimental datasets. Fecal samples together with detailed information on the feces chemical composition and ATTD of nutrients were obtained from four different pig experiments. Feces near-infrared spectroscopy was analyzed from fecal samples of a complete dataset. The model was calibrated using the FNIRS and reference samples of feces chemical composition and ATTD of nutrients. The robustness and predictability of the model were evaluated by the r2 and the closeness between SE of calibration (>SEC) and SE of cross-validation (>SECV). Prediction of the feces chemical components and ATTD of nutrients were successful as SEC and SECV were equivalent. Calibration model was developed to estimate the ATTD of nutrients and fecal chemical composition from the FNIRS and worked well for OM (r2 = 0.94; SEC = 48.5; SECV = 56.6), CP (r2 = 0.89; SEC = 18.1; SECV = 18.8), GE (r2 = 0.92; SEC = 1.2; SECV = 1.4), NDF (r2 = 0.94; SEC = 55; SECV = 60.2), OM digestibility (r2 = 0.94; SEC = 5.5; SECV = 6.7), GE digestibility (r2 = 0.88; SEC = 2.3; SECV = 2.6), and fat digestibility (r2 = 0.79; SEC = 6, SECV = 6.8). However, the SE of prediction was slightly higher than what has been reported in another study. The prediction of feces chemical composition for fat (r2 = 0.69; SEC = 11.7, SECV = 12.3), CP digestibility (r2 = 0.63; SEC = 2.3; SECV = 2.7), and NDF digestibility (r2 = 0.64, SEC = 7.7, SECV = 8.8) was moderate. We conclude that the FNIRS accurately predicts the chemical composition of feces and ATTD of nutrients for OM, CP, and GE. The approach of FNIRS is a cost-effective method for measuring digestibility and FE in a large-scale pig-breeding programs.
机译:当饲喂富含纤维饮食的健壮动物时,营养物质的表观总消化率(> ATTD )可以作为饲料效率(> FE )的替代指标。营养物质的表观总消化率要求测量大量动物的单独采食量,这既昂贵又复杂。另外,可以使用粪便近红外反射光谱法(> FNIRS )预测养分和粪便化学成分的ATTD。这项研究的目的是评估是否可以使用源自各种猪实验数据集的FNIRS来预测粪便的化学成分和养分的ATTD。粪便样本以及有关粪便化学成分和养分的ATTD的详细信息可从四个不同的猪实验中获得。从完整数据集的粪便样本中分析了粪便近红外光谱。使用FNIRS和粪便化学成分和营养物的ATTD参考样品对模型进行校准。通过r 2 以及校准的SE(> SEC )和交叉验证的SE(> SECV )。由于SEC和SECV相当,因此粪便中化学成分和养分的ATTD预测成功。建立了校正模型以从FNIRS估算营养素和粪便化学成分的ATTD,并在OM(r 2 = 0.94; SEC = 48.5; SECV = 56.6),CP(r 2 = 0.89; SEC = 18.1; SECV = 18.8),GE(r 2 = 0.92; SEC = 1.2; SECV = 1.4),NDF(r 2 = 0.94; SEC = 55; SECV = 60.2),OM消化率(r 2 = 0.94; SEC = 5.5; SECV = 6.7),GE消化率(r 2 = 0.88; SEC = 2.3; SECV = 2.6)和脂肪消化率(r 2 = 0.79; SEC = 6,SECV = 6.8)。但是,预测的SE值比另一项研究报告的要高。粪便中脂肪化学成分的预测(r 2 = 0.69; SEC = 11.7,SECV = 12.3),CP消化率(r 2 = 0.63; SEC = 2.3; SECV = 2.7),NDF消化率(r 2 = 0.64,SEC = 7.7,SECV = 8.8)适中。我们得出的结论是,FNIRS可以准确预测OM,CP和GE的粪便化学成分和营养物的ATTD。 FNIRS的方法是在大型养猪项目中测量消化率和FE的经济有效的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号