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NIRS/NUTBAL nutritional profiling system for grazingland animal management

机译:用于牧场动物管理的NIRS / NUTBAL营养配置系统

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Rapid, accurate systems for monitoring the nutritional status of animals has been a major limitation to nutritional management of a vast majority of the world-wide population of livestock. Most practical methodology in the past has focused on hand-plucked samples which attempt to simulate diets selected over a landscape. This system generally leads to lower estimates of diet quality than those selected by the target animals. Recently, Lyons and Stuth (1992, J Range Manage, 45, 238-244) developed methodology which accurately predicts dietary crude protein (CP) and digestible organic matter (DOM) via near infrared reflectance spectroscopy (NIRS) scans of dried, ground feces of free-ranging cattle. The system has been refined resulting in a nation-wideservice which allows livestock producers to collect fresh fecal samples, ship the samples in insulated mailers via 2-day express mail and receive diet quality estimates 48-72 hours after arrival at the Grazingland Animal Nutrition Lab at Texas A&M University. The lab has ascertained that irradiation of samples (6 megarads) does not affect prediction of diet quality potentially allowing analyses of diet quality not only in the USA but in regions of the world where nutritional profiles are poorly understood and forage testing infrastructure limited.
机译:用于监视动物营养状况的快速,准确的系统一直是全世界绝大多数牲畜种群营养管理的主要限制。过去,大多数实用方法都集中在手工采摘的样本上,这些样本试图模拟在某个景观上选择的饮食。与目标动物选择的饮食相比,该系统通常导致对饮食质量的估计较低。最近,Lyons和Stuth(1992,J Range Manage,45,238-244)开发了一种方法,该方法可通过干燥的粪便的近红外反射光谱(NIRS)扫描准确预测膳食粗蛋白(CP)和可消化的有机物(DOM)。放养牛。该系统已经过完善,可在全国范围内提供服务,使畜牧生产者可以收集新鲜的粪便样品,通过2天特快专递将样品运输到隔热的邮件中,并在到达Grazingland动物营养实验室48-72小时后收到饮食质量估计值在德克萨斯农工大学。实验室已确定,辐照样品(6兆拉德)不会影响饮食质量的预测,不仅在美国,而且在人们对营养状况了解不多且饲草测试基础设施受到限制的地区,也有可能对饮食质量进行分析。

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