具有成本效益的饲料和浏览豆类饲料乳制品生产:使用Jaya优化算法的优化方法

IF 1.8 Q2 AGRONOMY

Advances in Agriculture Pub Date : 2022-07-18 DOI:10.1155/2022/5838723

Godfrey Chagwiza

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引用次数: 1

摘要

畜禽饲料混合或饲料选择决策是养殖户在日常经营中遇到的问题。考虑到气候变化的影响和新技术的出现，牲畜饲料的选择和混合正成为一个重要的研究领域。小农奶农通常受到资金限制，因此需要研究具有成本效益的饲料选择，以实现利润最大化。在津巴布韦的小奶农中进行了一项研究，以调查饲料和浏览豆类之间的成本效益饲料。通过在牧草和浏览豆类中选择最具成本效益的饲料，制定了一个优化问题，以实现利润最大化。辅助数据通过实现Jaya优化算法来解决优化问题。结果表明，粮食作物青贮饲料是最佳饲料选择，每个农民每天的最大利润为66.00美元。进一步的研究可以针对调查下一个最好的饲料，优质干草和粮食作物青贮饲料组合对利润贡献的影响。

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Cost-Effective Forage and Browse Legume Feed for Dairy Production: An Optimisation Approach Using Jaya Optimisation Algorithm

Livestock feed mix or feed choice decision-making is encountered by farmers in their daily operations. Livestock feed choice and mixing is emerging as a key research area considering the impact of climate change and emergence of new technology. Smallholder dairy farmers are usually capital constrained and hence a need to investigate cost-effective feed choice that maximises profit. A study to investigate the cost-effective feed among forage and browse legumes was conducted among smallholder dairy farmers in Zimbabwe. An optimisation problem was formulated with the objective of maximising profit by selecting the most cost-effective feed among forage and browse legumes. Secondary data are used to solve the optimisation problem by implementing the Jaya optimisation algorithm. Results show that grain crop silage is the best feed choice resulting in a maximum profit of $ 66.00 per day per farmer. Further research can be directed towards investigating the effect of combining the next best feed, quality hay, and grain crop silage for profit contribution.

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