Department of Animal Nutrition, Khyber Pakhtunkhwa Agricultural University, Peshawar, Pakistan.
Poult Sci. 2012 Oct;91(10):2540-7. doi: 10.3382/ps.2012-02211.
The purpose of this study was to determine the feasibility of estimating the total and phytate P content of common poultry feed ingredients by near-infrared reflectance spectroscopy (NIRS). Samples of 8 plant-origin feedstuffs were collected from poultry producers in the USA and Canada during the summer of 2009: corn (133), soybean meal (114), corn distillers dried grains with solubles (DDGS; 89), bakery by-product meal (95), wheat (22), wheat middlings (31), canola meal (21), and wheat shorts (15). The samples were assayed by standard wet chemical techniques for total and phytate P contents. There was considerable variation found in most of the ingredient components. The average values for the laboratory determinations versus NIRS predictions were all within 0.030 for total phosphorus and 0.012 for phytate P. For phytate P, the magnitude of the standard errors of the predictions ranged from 0.009% for soybean meal to 0.012% for canola meal. These values may be sufficiently precise for nutritionists to use the NIRS predictions to estimate how much of the P in their ingredients is not available to the birds. For total P, the magnitude of the standard errors of the predictions ranged from 0.027% for corn DDGS to 0.142% for wheat middlings. In general, total P predictions by NIRS were not generally sufficiently precise for most nutritionists to use in feed formulation. Decision making may be quite easy in using NIRS estimates for the phytate P content of bakery by-product meal [R(2) = 0.89 for predicted = f (determined)] but not for the total P content of soybean meal (R(2) = 0.03). It is concluded that precise estimates of phytate P through NIRS should allow nutritionists for more efficient formulate and mix feed, lowering feed costs and reducing the amount of residual polluting phosphorus in poultry excreta.
本研究旨在通过近红外反射光谱(NIRS)确定估计常见家禽饲料成分的总磷和植酸磷含量的可行性。2009 年夏季,从美国和加拿大的家禽生产商那里收集了 8 种植物源性饲料样品:玉米(133)、豆粕(114)、玉米酒糟(DDGS;89)、面包厂副产品(95)、小麦(22)、小麦麸皮(31)、菜粕(21)和小麦次粉(15)。这些样品通过标准湿化学技术测定总磷和植酸磷含量。在大多数成分中都发现了相当大的差异。实验室测定值与 NIRS 预测值的平均值均在总磷 0.030 以内,植酸磷 0.012 以内。对于植酸磷,预测值的标准误差幅度从豆粕的 0.009%到菜粕的 0.012%不等。这些值对于营养师来说可能足够精确,可以使用 NIRS 预测值来估计他们的饲料成分中有多少磷对鸟类不可用。对于总磷,预测值的标准误差幅度从玉米 DDGS 的 0.027%到小麦麸皮的 0.142%不等。一般来说,对于大多数营养师来说,NIRS 对总磷的预测值不够精确,无法用于饲料配方。使用 NIRS 估计面包厂副产品的植酸磷含量进行决策可能非常容易[R(2)=0.89,预测值=f(实测值)],但对于豆粕的总磷含量则不然(R(2)=0.03)。结论是,通过 NIRS 对植酸磷进行精确估计,应该可以使营养师更有效地配制和混合饲料,降低饲料成本,并减少家禽粪便中残留的污染磷。