微波传感器实时测定玉米青贮干物质含量

V. Perricone, A. Agazzi, A. Costa, M. Lazzari, G. Savoini, A. Calcante, F. Tangorra
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摘要

奶牛日干物质采食量是满足营养需求和优化生产性能、降低代谢性疾病发病率的一个中心点。青贮等牧草的干物质含量在贮藏过程中会发生较大变化,影响日总干物质消耗量。参考实验室法耗时,不能用于日常饮食成分的变化。目前,新的有前途的实时技术可用于监控饲料的DM内容。本研究的目的是对玉米青贮样品中DM含量的便携式微波传感器(MS)进行测试和校准。在玉米青贮前线采集22份样品;优化了采样程序,以尽可能多地收集样本中DM含量的变异性。对每个样品采用3种不同的方法进行质谱读数:1)直接在青贮前部,2)将质谱置于收集的样品上方,3)将质谱置于样品下方。在第一次MS读数后,通过读数2和3的青贮盖和实验室DM含量测定获得相应的青贮样品。对获得的数据进行简单的回归分析(JMP, SAS Institute, Cary, NC, 2015)。结果表明,相对于其他方法,探针对样品的负荷(r2 =0.75)是最佳的质谱读数方法。结果表明,采用正确的读数方法,质谱可以直接在农场水平上测定玉米青贮的DM含量。
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Real-time dry matter content of corn silage by a microwave sensor
Daily dry matter (DM) intake in dairy cow is a central point to meet nutritional requirements and optimal performance, reducing the incidence of metabolic diseases. DM content of some forages, such as silages, can undergo huge variations during storing, affecting the total daily DM consumed. Reference laboratory method is time consuming and cannot be applied to daily changes in diet composition. Currently, new promising real-time technologies are available to monitor the DM content of feeds. The aim of the study was to test and calibrate a portable microwave sensor (MS) for DM content in corn silage samples. Twenty-two samples were collected from a corn silage front; sampling procedure was optimized to collect as much as DM content variability as possible within the samples. MS readings were performed with 3 different methods for each samples: 1) directly on the silage front, 2) with the MS over the collected sample and 3) with MS placed under the sample. After the first MS reading, a correspondent silage sample was obtained by a silage corer for readings 2 and 3 and the laboratory DM content assay. A simple regression analysis was performed (JMP, SAS Institute, Cary, NC, 2015) over obtained data. Results evidences as the best MS reading method is represented by the probe burdening on the sample (R 2 =0.75) with respect to the other methods. The obtained results outlined as, with a correct reading method, MS can be valuable tool to determine DM content of corn silage directly at farm level.
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