玉米品质差异证实了近红外光谱分析的好处

发布时间:2016-11-10 11:07:43   来源:猪OK网   阅读:1602次

玉米,品质,近红外光谱,分析

  International data shows that variation in corn quality could be adding significant costs to the feed industry, particularly for poultry and swine producers.

  全球数据显示,玉米品质差异会对饲料的成本产生显著影响,这种影响对家禽业和养猪业尤为明显。

  The corn data collected from feedmills around the world, from January to May this year, showed that the apparent metabolisable energy (AME) content in corn can vary by more than 400 kcal/kg.

  今年1~5月,从全球饲料企业收集的玉米数据来看,不同玉米表观代谢能的差异可超过400 kcal/kg。

  Dr Sophie Parker-Norman, AB Vista Global Technical Manager, says that in a typical corn-based broiler diet, this equates to a potential variation in the finished feed of 270 kcal/kg.

  AB Vista公司全球技术经理Sophie博士说,在以玉米为基础的肉鸡饲料中,每千克育成料表观代谢能可能有270千卡的差异。

  “Such variability could cost as much as €24.40/t feed – and represents 9% of the total feed cost in a 2.6kg bird. Even if the variation is just 25% of this maximum, the cost implication for a company producing 7.5 million birds each month is a substantial €200,000 per month.”

  “这种差异或可使每吨饲料成本增加24.4欧元(相当于一只重2.6kg的家禽总饲料成本的9%)。即使差异只有该最大值的25%,对于一个月出栏750万只家禽的养殖场来说,每月成本也将增加约20万欧元。”

  Dr Parker-Norman says the data demonstrates the need for sample analysis, and encourages the use of rapid and inexpensive technologies.

  Sophie博士说,这表明样品分析是非常有必要的,快速、低成本的技术分析手段应该得到鼓励。

  “While we know raw material nutrient content varies between seasons and growing regions, the true extent of this variability and its potential economic impact remain much less well understood.

  “尽管我们知道原料的营养成分在不同季节、不同生长区域都会有所不同,但对原料真实的差异及其对经济效益可能造成的潜在影响知之甚少。”

  However, new developments in near infrared (NIR) spectroscopy enable opportunities for greater sampling frequency and quicker reporting, meaning diet formulations can be adjusted for corn variability. NIR spectroscopy hardware and software enable near-instant analysis of a range of nutrient contents (including AME, proximates and phytate), meaning formulations can be adjusted in real-time to account for corn quality variation. Given the reduced cost and quicker turnaround time, more frequent analysis can now be implemented.”

  然而,近红外光谱技术不断发展,使采样频率加快,而且可快速得到结果,使得饲料配方根据玉米品质差异进行调整。近红外光谱仪可及时分析一系列的营养成分(包括表观代谢能、概略养分和植酸含量),这将使配方可根据玉米品质的差异进行实时调整。由于这种技术能够减少分析成本、加快分析时间,高频率的样品分析得以实现。

  Dr Parker-Norman says of the results: “The potential for economic wins comes when the total AME variability is large, such as in Mexico, the United States and Indonesia, where the range was found to be around 200-300 kcal/kg. Yet it is also important to recognise that even the 50-100 kcal/kg differences, measured in countries such as France, Thailand and Argentina, still represent considerable potential economic wins if effectively accounted for during diet formulation. ”

  关于使用效果,Sophie博士谈到:“墨西哥、美国、印度尼西亚等国玉米总表观代谢能差异很大,可达200kcal/kg~300kcal/kg,那么其成本就有很大的节约空间。值得注意的是,即使像法国、泰国、阿根廷这些国家测出代谢能只有50kcal/kg~100kcal/kg的差异,若在设计配方时更加精准,其潜在的经济效益差别也是很可观的。”

  “It is also important to note that even when formulation safety margins are applied, inconsistent nutrient supply could still have significant effects on bird performance. That is another reason to explore how NIR technologies can be used to understand corn variability and implement systems to account for those differences.”

  “更重要的是,即使不考虑这部分利润,使用原配方可能导致营养供给不合理,从而严重影响家禽的生产性能。这也是研发如何使用近红外光谱技术来鉴别玉米品质差异并且解释这些差异的另一个重要原因。”

 



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