Loading…

A Dynamic Programming Approach to Culling Decisions in Commercial Dairy Herds

A dynamic programming model was developed in which cows were described in terms of lactation number, body weight, 305-day milk yield, and milk fat percent. Milk returns, beef sales, feed costs, replacement costs, and cow depreciation costs were included. A 10-yr planning horizon was used. Three pric...

Full description

Saved in:
Bibliographic Details
Published in:Journal of dairy science 1977-04, Vol.60 (4), p.602-617
Main Authors: Stewart, H.M, Burnside, E.B, Wilton, J.W, Pfeiffer, W.C
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c539t-b842a3ca7689d2bb3ace0099e9c80ee2e78d184def1fb819ec49c9a5f9638e7d3
cites cdi_FETCH-LOGICAL-c539t-b842a3ca7689d2bb3ace0099e9c80ee2e78d184def1fb819ec49c9a5f9638e7d3
container_end_page 617
container_issue 4
container_start_page 602
container_title Journal of dairy science
container_volume 60
creator Stewart, H.M
Burnside, E.B
Wilton, J.W
Pfeiffer, W.C
description A dynamic programming model was developed in which cows were described in terms of lactation number, body weight, 305-day milk yield, and milk fat percent. Milk returns, beef sales, feed costs, replacement costs, and cow depreciation costs were included. A 10-yr planning horizon was used. Three prices were assigned to each economic component and to the interest rate in the discounting procedure. Ninety-five percent of the optimal policies were unaffected by changes in prices or interest rate. All cows producing less than 4500kg of 4.1% milk were replaced. Those producing more than 6500kg of 3.9% were kept. Optimal policies for other milk yields were dependent on lactation number, body weight, and prices. Increasing milk price or decreasing feed price resulted in more intensive culling of lighter cows and less intensive culling of heavier cows. Increasing interest rate resulted in less intensive culling for all categories of body weight. The model was insensitive to changes in price of beef. Optimal policies for 94% of the states did not change with different feeding. With a 5-yr planning horizon, culling was more intensive.
doi_str_mv 10.3168/jds.S0022-0302(77)83908-8
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1839859012</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0022030277839088</els_id><sourcerecordid>1839859012</sourcerecordid><originalsourceid>FETCH-LOGICAL-c539t-b842a3ca7689d2bb3ace0099e9c80ee2e78d184def1fb819ec49c9a5f9638e7d3</originalsourceid><addsrcrecordid>eNqNkE2P0zAQhi0EEqXwB7hghFZiD1n80cT2sUqBRVoE0rLnkeNMWldJXOx2Uf89ToO4cOFiy55n_I4fQt5ydiN5pT_s23Rzz5gQBZNMvFfqWkvDdKGfkAUvRVlIbvRTsviLPCcvUtrnIxesXJCva7o5j3bwjn6PYRvtMPhxS9eHQwzW7egx0PrU99PdBp1PPoyJ-pHWYRgwOm97urE-nuktxja9JM862yd89WdfkodPH3_Ut8Xdt89f6vVd4UppjkWjV8JKZ1WlTSuaRlqHjBmDxmmGKFDplutVix3vGs0NupVxxpadqaRG1coleTe_m6f8ecJ0hH04xTFHAs__16VhXGTKzJSLIaWIHRyiH2w8A2cw2YNsDy72YFIDSsHFXl6X5Gru3fnt7pePCGmwfX84NXzqqhisoGJTxuuZ62wAu40-wcO9UqISl-Kbf4uC8ZxVTvUqE_VMYLb16DFCch5Hh22OdEdog_-PYX8DvAyX0A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1839859012</pqid></control><display><type>article</type><title>A Dynamic Programming Approach to Culling Decisions in Commercial Dairy Herds</title><source>ScienceDirect (Online service)</source><source>EZB Electronic Journals Library</source><creator>Stewart, H.M ; Burnside, E.B ; Wilton, J.W ; Pfeiffer, W.C</creator><creatorcontrib>Stewart, H.M ; Burnside, E.B ; Wilton, J.W ; Pfeiffer, W.C</creatorcontrib><description>A dynamic programming model was developed in which cows were described in terms of lactation number, body weight, 305-day milk yield, and milk fat percent. Milk returns, beef sales, feed costs, replacement costs, and cow depreciation costs were included. A 10-yr planning horizon was used. Three prices were assigned to each economic component and to the interest rate in the discounting procedure. Ninety-five percent of the optimal policies were unaffected by changes in prices or interest rate. All cows producing less than 4500kg of 4.1% milk were replaced. Those producing more than 6500kg of 3.9% were kept. Optimal policies for other milk yields were dependent on lactation number, body weight, and prices. Increasing milk price or decreasing feed price resulted in more intensive culling of lighter cows and less intensive culling of heavier cows. Increasing interest rate resulted in less intensive culling for all categories of body weight. The model was insensitive to changes in price of beef. Optimal policies for 94% of the states did not change with different feeding. With a 5-yr planning horizon, culling was more intensive.</description><identifier>ISSN: 0022-0302</identifier><identifier>EISSN: 1525-3198</identifier><identifier>DOI: 10.3168/jds.S0022-0302(77)83908-8</identifier><language>eng</language><publisher>Champaign: Elsevier Inc</publisher><subject>cows</subject><ispartof>Journal of dairy science, 1977-04, Vol.60 (4), p.602-617</ispartof><rights>1977 American Dairy Science Association</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c539t-b842a3ca7689d2bb3ace0099e9c80ee2e78d184def1fb819ec49c9a5f9638e7d3</citedby><cites>FETCH-LOGICAL-c539t-b842a3ca7689d2bb3ace0099e9c80ee2e78d184def1fb819ec49c9a5f9638e7d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0022030277839088$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3549,27924,27925,45780</link.rule.ids></links><search><creatorcontrib>Stewart, H.M</creatorcontrib><creatorcontrib>Burnside, E.B</creatorcontrib><creatorcontrib>Wilton, J.W</creatorcontrib><creatorcontrib>Pfeiffer, W.C</creatorcontrib><title>A Dynamic Programming Approach to Culling Decisions in Commercial Dairy Herds</title><title>Journal of dairy science</title><description>A dynamic programming model was developed in which cows were described in terms of lactation number, body weight, 305-day milk yield, and milk fat percent. Milk returns, beef sales, feed costs, replacement costs, and cow depreciation costs were included. A 10-yr planning horizon was used. Three prices were assigned to each economic component and to the interest rate in the discounting procedure. Ninety-five percent of the optimal policies were unaffected by changes in prices or interest rate. All cows producing less than 4500kg of 4.1% milk were replaced. Those producing more than 6500kg of 3.9% were kept. Optimal policies for other milk yields were dependent on lactation number, body weight, and prices. Increasing milk price or decreasing feed price resulted in more intensive culling of lighter cows and less intensive culling of heavier cows. Increasing interest rate resulted in less intensive culling for all categories of body weight. The model was insensitive to changes in price of beef. Optimal policies for 94% of the states did not change with different feeding. With a 5-yr planning horizon, culling was more intensive.</description><subject>cows</subject><issn>0022-0302</issn><issn>1525-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1977</creationdate><recordtype>article</recordtype><recordid>eNqNkE2P0zAQhi0EEqXwB7hghFZiD1n80cT2sUqBRVoE0rLnkeNMWldJXOx2Uf89ToO4cOFiy55n_I4fQt5ydiN5pT_s23Rzz5gQBZNMvFfqWkvDdKGfkAUvRVlIbvRTsviLPCcvUtrnIxesXJCva7o5j3bwjn6PYRvtMPhxS9eHQwzW7egx0PrU99PdBp1PPoyJ-pHWYRgwOm97urE-nuktxja9JM862yd89WdfkodPH3_Ut8Xdt89f6vVd4UppjkWjV8JKZ1WlTSuaRlqHjBmDxmmGKFDplutVix3vGs0NupVxxpadqaRG1coleTe_m6f8ecJ0hH04xTFHAs__16VhXGTKzJSLIaWIHRyiH2w8A2cw2YNsDy72YFIDSsHFXl6X5Gru3fnt7pePCGmwfX84NXzqqhisoGJTxuuZ62wAu40-wcO9UqISl-Kbf4uC8ZxVTvUqE_VMYLb16DFCch5Hh22OdEdog_-PYX8DvAyX0A</recordid><startdate>19770401</startdate><enddate>19770401</enddate><creator>Stewart, H.M</creator><creator>Burnside, E.B</creator><creator>Wilton, J.W</creator><creator>Pfeiffer, W.C</creator><general>Elsevier Inc</general><general>Am Dairy Sci Assoc</general><general>American Dairy Science Association</general><scope>6I.</scope><scope>AAFTH</scope><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7WH</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope></search><sort><creationdate>19770401</creationdate><title>A Dynamic Programming Approach to Culling Decisions in Commercial Dairy Herds</title><author>Stewart, H.M ; Burnside, E.B ; Wilton, J.W ; Pfeiffer, W.C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c539t-b842a3ca7689d2bb3ace0099e9c80ee2e78d184def1fb819ec49c9a5f9638e7d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1977</creationdate><topic>cows</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stewart, H.M</creatorcontrib><creatorcontrib>Burnside, E.B</creatorcontrib><creatorcontrib>Wilton, J.W</creatorcontrib><creatorcontrib>Pfeiffer, W.C</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>AGRIS</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 50</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access &amp; Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access &amp; Build (Plan A) - APAC</collection><collection>Primary Sources Access &amp; Build (Plan A) - Canada</collection><collection>Primary Sources Access &amp; Build (Plan A) - West</collection><collection>Primary Sources Access &amp; Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access &amp; Build (Plan A) - Midwest</collection><collection>Primary Sources Access &amp; Build (Plan A) - North Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - Northeast</collection><collection>Primary Sources Access &amp; Build (Plan A) - South Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stewart, H.M</au><au>Burnside, E.B</au><au>Wilton, J.W</au><au>Pfeiffer, W.C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Dynamic Programming Approach to Culling Decisions in Commercial Dairy Herds</atitle><jtitle>Journal of dairy science</jtitle><date>1977-04-01</date><risdate>1977</risdate><volume>60</volume><issue>4</issue><spage>602</spage><epage>617</epage><pages>602-617</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><abstract>A dynamic programming model was developed in which cows were described in terms of lactation number, body weight, 305-day milk yield, and milk fat percent. Milk returns, beef sales, feed costs, replacement costs, and cow depreciation costs were included. A 10-yr planning horizon was used. Three prices were assigned to each economic component and to the interest rate in the discounting procedure. Ninety-five percent of the optimal policies were unaffected by changes in prices or interest rate. All cows producing less than 4500kg of 4.1% milk were replaced. Those producing more than 6500kg of 3.9% were kept. Optimal policies for other milk yields were dependent on lactation number, body weight, and prices. Increasing milk price or decreasing feed price resulted in more intensive culling of lighter cows and less intensive culling of heavier cows. Increasing interest rate resulted in less intensive culling for all categories of body weight. The model was insensitive to changes in price of beef. Optimal policies for 94% of the states did not change with different feeding. With a 5-yr planning horizon, culling was more intensive.</abstract><cop>Champaign</cop><pub>Elsevier Inc</pub><doi>10.3168/jds.S0022-0302(77)83908-8</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0022-0302
ispartof Journal of dairy science, 1977-04, Vol.60 (4), p.602-617
issn 0022-0302
1525-3198
language eng
recordid cdi_proquest_journals_1839859012
source ScienceDirect (Online service); EZB Electronic Journals Library
subjects cows
title A Dynamic Programming Approach to Culling Decisions in Commercial Dairy Herds
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T11%3A09%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Dynamic%20Programming%20Approach%20to%20Culling%20Decisions%20in%20Commercial%20Dairy%20Herds&rft.jtitle=Journal%20of%20dairy%20science&rft.au=Stewart,%20H.M&rft.date=1977-04-01&rft.volume=60&rft.issue=4&rft.spage=602&rft.epage=617&rft.pages=602-617&rft.issn=0022-0302&rft.eissn=1525-3198&rft_id=info:doi/10.3168/jds.S0022-0302(77)83908-8&rft_dat=%3Cproquest_cross%3E1839859012%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c539t-b842a3ca7689d2bb3ace0099e9c80ee2e78d184def1fb819ec49c9a5f9638e7d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1839859012&rft_id=info:pmid/&rfr_iscdi=true