Optimal replacement and ranking of dairy cows determined by a hierarchic Markov process

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Standard

Optimal replacement and ranking of dairy cows determined by a hierarchic Markov process. / Kristensen, Anders R.

I: Livestock Production Science, Bind 16, Nr. 2, 01.01.1987, s. 131-144.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Kristensen, AR 1987, 'Optimal replacement and ranking of dairy cows determined by a hierarchic Markov process', Livestock Production Science, bind 16, nr. 2, s. 131-144. https://doi.org/10.1016/0301-6226(87)90015-7

APA

Kristensen, A. R. (1987). Optimal replacement and ranking of dairy cows determined by a hierarchic Markov process. Livestock Production Science, 16(2), 131-144. https://doi.org/10.1016/0301-6226(87)90015-7

Vancouver

Kristensen AR. Optimal replacement and ranking of dairy cows determined by a hierarchic Markov process. Livestock Production Science. 1987 jan. 1;16(2):131-144. https://doi.org/10.1016/0301-6226(87)90015-7

Author

Kristensen, Anders R. / Optimal replacement and ranking of dairy cows determined by a hierarchic Markov process. I: Livestock Production Science. 1987 ; Bind 16, Nr. 2. s. 131-144.

Bibtex

@article{ad8b8ca8969a42f58084452d6d46411f,
title = "Optimal replacement and ranking of dairy cows determined by a hierarchic Markov process",
abstract = "A dairy cow replacement model based on the notion of a hierarchic Markov process is presented. A hierarchic Markov process is a series of Markov decision processes built together in one Markov decision process, called the main process. In the model a cow is described in terms of lactation number, stage of lactation, the level of milk yield during the previous and present lactation, the length of the calving interval, and the genetic class defined from the breeding value of the father. The criterion of optimality is the maximization of the present value under an infinite planning horizon. Revenues from milk, calves, and replaced cows, feed costs and costs of replacement heifers are considered. The future profitability calculated from the optimal solution is used for ranking of the cows in the herd. The genetic class makes it possible to include the heifers available for replacement in the ranking and to let the replacement decision depend on the genetic class of the heifers. It is concluded that the milk yield of previous lactation is not needed as a state variable when the other variables are present in the model.",
author = "Kristensen, {Anders R.}",
year = "1987",
month = jan,
day = "1",
doi = "10.1016/0301-6226(87)90015-7",
language = "English",
volume = "16",
pages = "131--144",
journal = "Livestock Science",
issn = "1871-1413",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - Optimal replacement and ranking of dairy cows determined by a hierarchic Markov process

AU - Kristensen, Anders R.

PY - 1987/1/1

Y1 - 1987/1/1

N2 - A dairy cow replacement model based on the notion of a hierarchic Markov process is presented. A hierarchic Markov process is a series of Markov decision processes built together in one Markov decision process, called the main process. In the model a cow is described in terms of lactation number, stage of lactation, the level of milk yield during the previous and present lactation, the length of the calving interval, and the genetic class defined from the breeding value of the father. The criterion of optimality is the maximization of the present value under an infinite planning horizon. Revenues from milk, calves, and replaced cows, feed costs and costs of replacement heifers are considered. The future profitability calculated from the optimal solution is used for ranking of the cows in the herd. The genetic class makes it possible to include the heifers available for replacement in the ranking and to let the replacement decision depend on the genetic class of the heifers. It is concluded that the milk yield of previous lactation is not needed as a state variable when the other variables are present in the model.

AB - A dairy cow replacement model based on the notion of a hierarchic Markov process is presented. A hierarchic Markov process is a series of Markov decision processes built together in one Markov decision process, called the main process. In the model a cow is described in terms of lactation number, stage of lactation, the level of milk yield during the previous and present lactation, the length of the calving interval, and the genetic class defined from the breeding value of the father. The criterion of optimality is the maximization of the present value under an infinite planning horizon. Revenues from milk, calves, and replaced cows, feed costs and costs of replacement heifers are considered. The future profitability calculated from the optimal solution is used for ranking of the cows in the herd. The genetic class makes it possible to include the heifers available for replacement in the ranking and to let the replacement decision depend on the genetic class of the heifers. It is concluded that the milk yield of previous lactation is not needed as a state variable when the other variables are present in the model.

UR - http://www.scopus.com/inward/record.url?scp=38249036581&partnerID=8YFLogxK

U2 - 10.1016/0301-6226(87)90015-7

DO - 10.1016/0301-6226(87)90015-7

M3 - Journal article

AN - SCOPUS:38249036581

VL - 16

SP - 131

EP - 144

JO - Livestock Science

JF - Livestock Science

SN - 1871-1413

IS - 2

ER -

ID: 226949989