Optimal dairy feed input selection under alternative feeds availability and relative prices

Feed formulation is essential in the dairy production chain from economic, nutritional, and environmental perspectives. Optimizing the feed formulation across those three domains – given uncertainty of input prices, input availability, and regional climatic conditions – is a challenge for those in t...

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Main Authors: Othman Alqaisi, Luis Eduardo Moraes, Oghaiki Asaah Ndambi, Ryan Blake Williams
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-12-01
Series:Information Processing in Agriculture
Online Access:http://www.sciencedirect.com/science/article/pii/S2214317318302142
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spelling doaj-e38ff0b8a5a145ccbfa74ad4404a35772021-02-02T06:58:21ZengKeAi Communications Co., Ltd.Information Processing in Agriculture2214-31732019-12-0164438453Optimal dairy feed input selection under alternative feeds availability and relative pricesOthman Alqaisi0Luis Eduardo Moraes1Oghaiki Asaah Ndambi2Ryan Blake Williams3Department of Animal and Veterinary Sciences, College of Agricultural & Marine Sciences, Sultan Qaboos University, P.O. Box 34, Al-Khod 123, Oman; Corresponding author.Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USAWageningen Livestock Research, Wageningen University & Research, P.O. Box 338, 6700 AB Wageningen, the NetherlandsDepartment of Agricultural & Applied Economics, Texas Tech University Lubbock, TX 79409, USAFeed formulation is essential in the dairy production chain from economic, nutritional, and environmental perspectives. Optimizing the feed formulation across those three domains – given uncertainty of input prices, input availability, and regional climatic conditions – is a challenge for those in the industry. The diet formulation method that is widely used by trading firms and feed production facilities employs a static linear programming (LP) approach. This approach does not allow for intertemporal feed formulations and switches between dietary feed commodities under feed availability conditions, which result in foregone economic gains for feed producers.The current study develops a multi-period LP feed model that uses historical data to capture ration switch opportunities between available feed resources for dairy cows and demonstrates the potential use of the method in different commodity feed availability situations. We apply 14 diet formulations, each covering 150 months, representing a total of 2100 diets. The diet formulation considers a specific milk production level for a “model cow”, alternative feed formulations available, and volatility in feed prices. The results demonstrate that there is an opportunity for efficiency gains in the dairy industry with respect to feed formulation.Based on dietary feed inclusion and price spreads, barley can be an important dairy feed grain which completely replaces wheat, corn, and sorghum at price spreads of less than 94%, less than 78%, and less than 67%, respectively. Grain-based feed scenarios represent the lowest nutrient variation while multiple meal feeds had the lowest costs. Furthermore, and on average, multiple meal feed scenarios provided 10% higher dietary crude protein contents compared to grain based feed scenarios (i.e. 163 vs 179 g/kg DM formulated feed). Meanwhile, multiple meal feeding cost was 11% lower than that in the grain based feeding scenarios. Additionally, the use of multiple meals reduces alfalfa dietary inclusion by 7% on dry matter basis. Our analysis shows a strong reduction in feed cost associated with dietary crude protein reduction equivalent to 7.6 USD/tonne per 1% reduction in dietary crude protein level.The modeling approach allows for the interaction between feed components over time taking into consideration volatile global feed prices, thereby improving feed availability and feed formulation. Overall, the model provides a decision making tool to improve the use of feed resources in the dairy sector. Keywords: LP modelling, Diet formulation, Feed availability, Feed switch, Feed priceshttp://www.sciencedirect.com/science/article/pii/S2214317318302142
collection DOAJ
language English
format Article
sources DOAJ
author Othman Alqaisi
Luis Eduardo Moraes
Oghaiki Asaah Ndambi
Ryan Blake Williams
spellingShingle Othman Alqaisi
Luis Eduardo Moraes
Oghaiki Asaah Ndambi
Ryan Blake Williams
Optimal dairy feed input selection under alternative feeds availability and relative prices
Information Processing in Agriculture
author_facet Othman Alqaisi
Luis Eduardo Moraes
Oghaiki Asaah Ndambi
Ryan Blake Williams
author_sort Othman Alqaisi
title Optimal dairy feed input selection under alternative feeds availability and relative prices
title_short Optimal dairy feed input selection under alternative feeds availability and relative prices
title_full Optimal dairy feed input selection under alternative feeds availability and relative prices
title_fullStr Optimal dairy feed input selection under alternative feeds availability and relative prices
title_full_unstemmed Optimal dairy feed input selection under alternative feeds availability and relative prices
title_sort optimal dairy feed input selection under alternative feeds availability and relative prices
publisher KeAi Communications Co., Ltd.
series Information Processing in Agriculture
issn 2214-3173
publishDate 2019-12-01
description Feed formulation is essential in the dairy production chain from economic, nutritional, and environmental perspectives. Optimizing the feed formulation across those three domains – given uncertainty of input prices, input availability, and regional climatic conditions – is a challenge for those in the industry. The diet formulation method that is widely used by trading firms and feed production facilities employs a static linear programming (LP) approach. This approach does not allow for intertemporal feed formulations and switches between dietary feed commodities under feed availability conditions, which result in foregone economic gains for feed producers.The current study develops a multi-period LP feed model that uses historical data to capture ration switch opportunities between available feed resources for dairy cows and demonstrates the potential use of the method in different commodity feed availability situations. We apply 14 diet formulations, each covering 150 months, representing a total of 2100 diets. The diet formulation considers a specific milk production level for a “model cow”, alternative feed formulations available, and volatility in feed prices. The results demonstrate that there is an opportunity for efficiency gains in the dairy industry with respect to feed formulation.Based on dietary feed inclusion and price spreads, barley can be an important dairy feed grain which completely replaces wheat, corn, and sorghum at price spreads of less than 94%, less than 78%, and less than 67%, respectively. Grain-based feed scenarios represent the lowest nutrient variation while multiple meal feeds had the lowest costs. Furthermore, and on average, multiple meal feed scenarios provided 10% higher dietary crude protein contents compared to grain based feed scenarios (i.e. 163 vs 179 g/kg DM formulated feed). Meanwhile, multiple meal feeding cost was 11% lower than that in the grain based feeding scenarios. Additionally, the use of multiple meals reduces alfalfa dietary inclusion by 7% on dry matter basis. Our analysis shows a strong reduction in feed cost associated with dietary crude protein reduction equivalent to 7.6 USD/tonne per 1% reduction in dietary crude protein level.The modeling approach allows for the interaction between feed components over time taking into consideration volatile global feed prices, thereby improving feed availability and feed formulation. Overall, the model provides a decision making tool to improve the use of feed resources in the dairy sector. Keywords: LP modelling, Diet formulation, Feed availability, Feed switch, Feed prices
url http://www.sciencedirect.com/science/article/pii/S2214317318302142
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