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

被引:18
作者
Nirea, Kahsay G. [1 ]
de Nanclares, Marta Perez [1 ]
Skugor, Adrijana [1 ]
Afseth, Nils K. [2 ]
Meuwissen, Theodorus H. E. [1 ]
Hansen, Jon O. [1 ]
Mydland, Liv T. [1 ]
Overland, Margareth [1 ]
机构
[1] Norwegian Univ Life Sci, Dept Anim & Aquacultural Sci, POB 5003, N-1432 As, Norway
[2] Nofima AS Norwegian Inst Food Fisheries & Aquacul, POB 210, N-1431 As, Norway
关键词
feed efficiency; fecal near-infrared spectroscopy; nutrient digestibility; pig; REFLECTANCE SPECTROSCOPY; DIET QUALITY; CANOLA-MEAL; GROWTH-PERFORMANCE; FEED DIGESTIBILITY; WEANED PIGS; NIRS; ENERGY; INGREDIENTS; ADAPTATION;
D O I
10.1093/jas/sky182
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
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 r(2) 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 (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 digestibility (r(2) = 0.94; SEC = 5.5; SECV = 6.7), GE digestibility (r(2) = 0.88; SEC = 2.3; SECV = 2.6), and fat digestibility (r(2) = 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 (r(2) = 0.69; SEC = 11.7, SECV = 12.3), CP digestibility (r(2) = 0.63; SEC = 2.3; SECV = 2.7), and NDF digestibility (r(2) = 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.
引用
收藏
页码:2826 / 2837
页数:12
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