Prediction of Maize Yield and Assessment of the Material Circularity of Maize Residues Used in the Dairy Cattle Feed Production

N. Poolsawad
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Abstract

The dairy cattle industry is expanding rapidly to accommodate the growing demand for human consumption. This results in high cattle feed production. This study aims to forecast the amount of maize residue and calculate the circularity level of using maize residue as a feedstock for total mixed ration feed production in dairy cattle feed production. The multiple linear regression analysis is performed to predict maize yields in Thailand so that maize residues can be calculated and used in feed production. The material circularity indicator is also used with biological cycles to assess the circularity level of dairy cattle feed production under the circular economy concept. The results show that the maize yield is expected to increase, resulting in more maize residues. The use of maize residues in daily cattle feed production gives the MCI value of 0.6038, representing a high degree of circularity and explaining the sustainable management of wastes in the cattle feed industry. Moreover, using maize residues as a part of feed ingredients instead of the Napier grass saves the cost by 14.2%. The study results provide a guideline for farmers and related authorities to plan for managing maize residue in daily cattle feed production to lower operation costs and minimize environmental problems. Keywords: Biological cycle, Circular economy, Dairy cattle feed production, Maize residues, Material circularity indicator, Multiple linear regression
预测玉米产量和评估奶牛饲料生产中使用的玉米残渣的物质循环性
为了满足人类日益增长的消费需求,奶牛业正在迅速发展。这导致奶牛饲料产量居高不下。本研究旨在预测玉米残渣的数量,并计算在奶牛饲料生产中使用玉米残渣作为全混合日粮饲料生产原料的循环水平。通过多元线性回归分析预测泰国的玉米产量,从而计算出玉米残留量并将其用于饲料生产。此外,还利用物质循环指标和生物循环来评估循环经济理念下奶牛饲料生产的循环水平。结果表明,玉米产量有望增加,从而产生更多的玉米残渣。在日常奶牛饲料生产中使用玉米残留物的 MCI 值为 0.6038,代表了较高的循环程度,说明了奶牛饲料行业废物的可持续管理。此外,用玉米秸秆代替纳皮尔草作为饲料原料的一部分,可节省 14.2% 的成本。研究结果为农民和相关部门在日常牛饲料生产中规划玉米残留物的管理提供了指导,以降低运营成本和减少环境问题。关键词生物循环 循环经济 奶牛饲料生产 玉米残留 物质循环性指标 多元线性回归
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