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优化采样方案以测量固体粪便中营养成分的准确性。

Optimizing accuracy of sampling protocols to measure nutrient content of solid manure.

机构信息

Department of Animal Science, One Shields Avenue, University of California, Davis, CA 95616, USA.

University of California Agriculture and Natural Resources Cooperative Extension, 3800 Cornucopia Way, Suite A, Modesto, CA 95358, USA.

出版信息

Waste Manag. 2019 Feb 15;85:121-130. doi: 10.1016/j.wasman.2018.12.021. Epub 2018 Dec 26.

Abstract

Precise applications of manure to cropland can help optimize productivity and minimize environmental nutrient losses. Applying manure precisely is a challenge because the nutrient content of manures is inherently variable and the accuracy of sampling protocols are unknown. This study aimed to quantify the accuracy of sampling protocols for static solid manure piles considering both the number and depth of grab samples entering a composite sample. Over 35 grab samples were collected from each of ten static piles of dairy manure in California's Central Valley. Grab samples were individually analyzed for dry matter (DM), ash, total nitrogen, potassium, and phosphorous concentrations. Resampling simulations quantified the precision and bias of sampling protocols varying in both grab sample number and depth. Results showed that number of grab samples required for measurements to meet an accuracy standard of ±10% of the true value varied significantly by pile makeup. Over 25 grab samples were often required for multi-source manure piles, where an average of six grab samples were required from single source piles. The DM concentration of manure piles decreased at depths greater than 0.4 m, and sampling simulations showed that measurements were biased unless 70-80% of grab samples were collected from the pile interior. Both the number and location of grab samples necessary to create a representative composite require resource investments by farmers, and should be considered to manage nutrient applications cropland.

摘要

精确应用粪便到农田可以帮助优化生产力并最大限度地减少环境养分损失。精确应用粪便具有挑战性,因为粪便的养分含量本质上是可变的,并且采样方案的准确性未知。本研究旨在量化考虑进入复合样本的抓取样本数量和深度的静态固体粪便堆采样方案的准确性。在加利福尼亚中央山谷的十个奶牛场静态堆中,每个堆收集了 35 多个抓取样本。单独分析抓取样本的干物质(DM)、灰分、总氮、钾和磷浓度。重新采样模拟量化了抓取样本数量和深度变化的采样方案的精度和偏差。结果表明,为了使测量达到真实值±10%的精度标准,所需的抓取样本数量因堆组成而异。对于多源粪便堆,通常需要超过 25 个抓取样本,而从单一来源堆中需要平均 6 个抓取样本。粪便堆的 DM 浓度在 0.4m 以上的深度降低,采样模拟表明,除非从堆内部采集 70-80%的抓取样本,否则测量会产生偏差。创建有代表性的复合样本所需的抓取样本数量和位置都需要农民进行资源投资,应该考虑到这一点以管理农田中的养分应用。

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