Ranking of Dairy Cows for Replacement

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Ranking of Dairy Cows for Replacement. / Kristensen, Anders R.; Thysen, Iver.

I: Acta Agriculturae Scandinavica, Bind 41, Nr. 3, 01.01.1991, s. 295-303.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Kristensen, AR & Thysen, I 1991, 'Ranking of Dairy Cows for Replacement', Acta Agriculturae Scandinavica, bind 41, nr. 3, s. 295-303. https://doi.org/10.1080/00015129109439912

APA

Kristensen, A. R., & Thysen, I. (1991). Ranking of Dairy Cows for Replacement. Acta Agriculturae Scandinavica, 41(3), 295-303. https://doi.org/10.1080/00015129109439912

Vancouver

Kristensen AR, Thysen I. Ranking of Dairy Cows for Replacement. Acta Agriculturae Scandinavica. 1991 jan. 1;41(3):295-303. https://doi.org/10.1080/00015129109439912

Author

Kristensen, Anders R. ; Thysen, Iver. / Ranking of Dairy Cows for Replacement. I: Acta Agriculturae Scandinavica. 1991 ; Bind 41, Nr. 3. s. 295-303.

Bibtex

@article{2bbfe9e886764b119b70fa38d003bd98,
title = "Ranking of Dairy Cows for Replacement",
abstract = "The preferred tool in theoretical dairy cow replacement studies has been stochastic dynamic programming. Under practical conditions, however, this method is less suitable due to computational complexity. In order to develop a ranking criterion for practical use, two criteria were tested by means of stochastic simulation based on random number generation. Under the first criterion the ranking was provided by a dynamic programming model, but instead of herd individual conditions a set of standard conditions was used. Under the second criterion the cows were ranked according to their expected net returns to housing, labour and management during the next 12 months. Both criteria were tested in the presence and absence of a milk quota. The simulation results showed that both criteria are suitable for practical implementation in both situations. Thus the final choice depends on other considerations including implementation and operation costs as well as comprehensibility. A third criterion called expected maximum net returns, which has been suggested in the literature, was considered, but, rejected from theoretical and empirical reasons.",
keywords = "culling information, decision support, milk quota",
author = "Kristensen, {Anders R.} and Iver Thysen",
year = "1991",
month = jan,
day = "1",
doi = "10.1080/00015129109439912",
language = "English",
volume = "41",
pages = "295--303",
journal = "ACTA AGRIC. SCAND.",
issn = "0001-5121",
publisher = "Taylor & Francis",
number = "3",

}

RIS

TY - JOUR

T1 - Ranking of Dairy Cows for Replacement

AU - Kristensen, Anders R.

AU - Thysen, Iver

PY - 1991/1/1

Y1 - 1991/1/1

N2 - The preferred tool in theoretical dairy cow replacement studies has been stochastic dynamic programming. Under practical conditions, however, this method is less suitable due to computational complexity. In order to develop a ranking criterion for practical use, two criteria were tested by means of stochastic simulation based on random number generation. Under the first criterion the ranking was provided by a dynamic programming model, but instead of herd individual conditions a set of standard conditions was used. Under the second criterion the cows were ranked according to their expected net returns to housing, labour and management during the next 12 months. Both criteria were tested in the presence and absence of a milk quota. The simulation results showed that both criteria are suitable for practical implementation in both situations. Thus the final choice depends on other considerations including implementation and operation costs as well as comprehensibility. A third criterion called expected maximum net returns, which has been suggested in the literature, was considered, but, rejected from theoretical and empirical reasons.

AB - The preferred tool in theoretical dairy cow replacement studies has been stochastic dynamic programming. Under practical conditions, however, this method is less suitable due to computational complexity. In order to develop a ranking criterion for practical use, two criteria were tested by means of stochastic simulation based on random number generation. Under the first criterion the ranking was provided by a dynamic programming model, but instead of herd individual conditions a set of standard conditions was used. Under the second criterion the cows were ranked according to their expected net returns to housing, labour and management during the next 12 months. Both criteria were tested in the presence and absence of a milk quota. The simulation results showed that both criteria are suitable for practical implementation in both situations. Thus the final choice depends on other considerations including implementation and operation costs as well as comprehensibility. A third criterion called expected maximum net returns, which has been suggested in the literature, was considered, but, rejected from theoretical and empirical reasons.

KW - culling information

KW - decision support

KW - milk quota

UR - http://www.scopus.com/inward/record.url?scp=0345187658&partnerID=8YFLogxK

U2 - 10.1080/00015129109439912

DO - 10.1080/00015129109439912

M3 - Journal article

AN - SCOPUS:0345187658

VL - 41

SP - 295

EP - 303

JO - ACTA AGRIC. SCAND.

JF - ACTA AGRIC. SCAND.

SN - 0001-5121

IS - 3

ER -

ID: 226949694