{"title":"从随机饲料需求前沿估算饲料效率","authors":"Daniel Muluwork Atsbeha","doi":"10.3168/jds.2023-24301","DOIUrl":null,"url":null,"abstract":"<div><div>Feed accounts for 40% to 70% of livestock production cost. Therefore, improving feed efficiency of production animals will promote farm profitability. To this end, precise estimation of animal level feed efficiency is important. Considering some limitations of residual feed intake (RFI) as indicator of animal level feed efficiency, an alternative approach is suggested. The approach involves estimation of a stochastic feed requirement frontier (SFRF), which explicitly allows for feed efficiency and statistical noise in the same specification. As a result, a SFRF naturally leads to feed efficiency indicator free from statistical noise. Furthermore, the feed efficiency indicator it generates is nonnegative and it can easily be expressed in terms of surplus feed intake (SFI) caused by feed inefficiency. Simulation experiment was used to illustrate the problems that arise from RFI-based feed efficiency estimation and the improvements that can be expected from the alternative approach. The experimental results showed that RFI tends to overestimate feed efficiency of animals. The overestimation gets worse as the contribution of feed inefficiency to feed intake variation increases. The results from the experiment also showed SFRF provides consistent feed efficiency estimates and associated SFI. Finally, further benefits of the alternative approach in feed efficiency estimation at animal level are presented.</div></div>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":"108 3","pages":"Pages 2547-2560"},"PeriodicalIF":3.7000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Feed efficiency estimation from stochastic feed requirement frontier\",\"authors\":\"Daniel Muluwork Atsbeha\",\"doi\":\"10.3168/jds.2023-24301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Feed accounts for 40% to 70% of livestock production cost. Therefore, improving feed efficiency of production animals will promote farm profitability. To this end, precise estimation of animal level feed efficiency is important. Considering some limitations of residual feed intake (RFI) as indicator of animal level feed efficiency, an alternative approach is suggested. The approach involves estimation of a stochastic feed requirement frontier (SFRF), which explicitly allows for feed efficiency and statistical noise in the same specification. As a result, a SFRF naturally leads to feed efficiency indicator free from statistical noise. Furthermore, the feed efficiency indicator it generates is nonnegative and it can easily be expressed in terms of surplus feed intake (SFI) caused by feed inefficiency. Simulation experiment was used to illustrate the problems that arise from RFI-based feed efficiency estimation and the improvements that can be expected from the alternative approach. The experimental results showed that RFI tends to overestimate feed efficiency of animals. The overestimation gets worse as the contribution of feed inefficiency to feed intake variation increases. The results from the experiment also showed SFRF provides consistent feed efficiency estimates and associated SFI. Finally, further benefits of the alternative approach in feed efficiency estimation at animal level are presented.</div></div>\",\"PeriodicalId\":354,\"journal\":{\"name\":\"Journal of Dairy Science\",\"volume\":\"108 3\",\"pages\":\"Pages 2547-2560\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Dairy Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022030224010282\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Dairy Science","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022030224010282","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
Feed efficiency estimation from stochastic feed requirement frontier
Feed accounts for 40% to 70% of livestock production cost. Therefore, improving feed efficiency of production animals will promote farm profitability. To this end, precise estimation of animal level feed efficiency is important. Considering some limitations of residual feed intake (RFI) as indicator of animal level feed efficiency, an alternative approach is suggested. The approach involves estimation of a stochastic feed requirement frontier (SFRF), which explicitly allows for feed efficiency and statistical noise in the same specification. As a result, a SFRF naturally leads to feed efficiency indicator free from statistical noise. Furthermore, the feed efficiency indicator it generates is nonnegative and it can easily be expressed in terms of surplus feed intake (SFI) caused by feed inefficiency. Simulation experiment was used to illustrate the problems that arise from RFI-based feed efficiency estimation and the improvements that can be expected from the alternative approach. The experimental results showed that RFI tends to overestimate feed efficiency of animals. The overestimation gets worse as the contribution of feed inefficiency to feed intake variation increases. The results from the experiment also showed SFRF provides consistent feed efficiency estimates and associated SFI. Finally, further benefits of the alternative approach in feed efficiency estimation at animal level are presented.
期刊介绍:
The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.