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Selection of a mathematical model to generate lactation curves using daily milk yields of Holstein cows
Mathematical descriptions of early stages of lactation were investigated using daily milk yields of 117 first, 78 second, 57 third, and 36 fourth lactations of 120 Holstein cows fitted by 10 models. The measure of fit was the error mean squares, which were replaced by ranks to perform an analysis of...
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Published in: | Journal of dairy science 1995-11, Vol.78 (11), p.2507-2513 |
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creator | Sherchand, L McNew, R.W Kellogg, D.W Johnson, Z.B |
description | Mathematical descriptions of early stages of lactation were investigated using daily milk yields of 117 first, 78 second, 57 third, and 36 fourth lactations of 120 Holstein cows fitted by 10 models. The measure of fit was the error mean squares, which were replaced by ranks to perform an analysis of variance with lactation number, model, and period as factors and with cows as replicates. The interaction of model and lactation number was significant for the fit of the entire lactation. A significant interaction of model and period was obtained for the fit of three 30-d intervals. For the entire lactation, the best fit for all four lactations occurred from the diphasic logistic function, y = d1(1 - tanh2(b1(nk - c1))) + d2(1 - tanh2(b2(n - c2))). For the first 30 d, a modified gamma function gave the best fit for the first lactation, the inverse polynomial function for the second lactation, and the quadratic log function for the third lactation. The diphasic logistic function gave the best fit for the remaining two periods and was not significantly different from the best fitting models for the first 30-d period. Hence, this function may be useful to describe the lactation curve of Holstein cows for dairy herds in which the daily milk yield of individual cows is constantly monitored with a computer |
doi_str_mv | 10.3168/jds.S0022-0302(95)76880-1 |
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The measure of fit was the error mean squares, which were replaced by ranks to perform an analysis of variance with lactation number, model, and period as factors and with cows as replicates. The interaction of model and lactation number was significant for the fit of the entire lactation. A significant interaction of model and period was obtained for the fit of three 30-d intervals. For the entire lactation, the best fit for all four lactations occurred from the diphasic logistic function, y = d1(1 - tanh2(b1(nk - c1))) + d2(1 - tanh2(b2(n - c2))). For the first 30 d, a modified gamma function gave the best fit for the first lactation, the inverse polynomial function for the second lactation, and the quadratic log function for the third lactation. The diphasic logistic function gave the best fit for the remaining two periods and was not significantly different from the best fitting models for the first 30-d period. Hence, this function may be useful to describe the lactation curve of Holstein cows for dairy herds in which the daily milk yield of individual cows is constantly monitored with a computer</description><identifier>ISSN: 0022-0302</identifier><identifier>EISSN: 1525-3198</identifier><identifier>DOI: 10.3168/jds.S0022-0302(95)76880-1</identifier><identifier>PMID: 8747341</identifier><identifier>CODEN: JDSCAE</identifier><language>eng</language><publisher>Savoy, IL: Am Dairy Sci Assoc</publisher><subject>ANALISIS ESTADISTICO ; ANALYSE STATISTIQUE ; Animal productions ; Animals ; Biological and medical sciences ; Cattle - physiology ; Female ; Fundamental and applied biological sciences. Psychology ; LACTACION ; LACTATION ; Lactation - physiology ; Mathematics ; MODELE MATHEMATIQUE ; MODELOS MATEMATICOS ; Models, Biological ; NUMERO DE LACTACION ; NUMERO DE LACTATION ; RACE (ANIMAL) ; RAZAS (ANIMALES) ; RENDEMENT LAITIER ; RENDIMIENTO LECHERO ; Terrestrial animal productions ; VACAS LECHERAS ; VACHE LAITIERE ; Vertebrates</subject><ispartof>Journal of dairy science, 1995-11, Vol.78 (11), p.2507-2513</ispartof><rights>1996 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-14c4c53baa036090d02205befccccdc5def54262d97d86624a3450b40aeb67ae3</citedby><cites>FETCH-LOGICAL-c471t-14c4c53baa036090d02205befccccdc5def54262d97d86624a3450b40aeb67ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2945108$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/8747341$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sherchand, L</creatorcontrib><creatorcontrib>McNew, R.W</creatorcontrib><creatorcontrib>Kellogg, D.W</creatorcontrib><creatorcontrib>Johnson, Z.B</creatorcontrib><title>Selection of a mathematical model to generate lactation curves using daily milk yields of Holstein cows</title><title>Journal of dairy science</title><addtitle>J Dairy Sci</addtitle><description>Mathematical descriptions of early stages of lactation were investigated using daily milk yields of 117 first, 78 second, 57 third, and 36 fourth lactations of 120 Holstein cows fitted by 10 models. The measure of fit was the error mean squares, which were replaced by ranks to perform an analysis of variance with lactation number, model, and period as factors and with cows as replicates. The interaction of model and lactation number was significant for the fit of the entire lactation. A significant interaction of model and period was obtained for the fit of three 30-d intervals. For the entire lactation, the best fit for all four lactations occurred from the diphasic logistic function, y = d1(1 - tanh2(b1(nk - c1))) + d2(1 - tanh2(b2(n - c2))). For the first 30 d, a modified gamma function gave the best fit for the first lactation, the inverse polynomial function for the second lactation, and the quadratic log function for the third lactation. The diphasic logistic function gave the best fit for the remaining two periods and was not significantly different from the best fitting models for the first 30-d period. 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Psychology</topic><topic>LACTACION</topic><topic>LACTATION</topic><topic>Lactation - physiology</topic><topic>Mathematics</topic><topic>MODELE MATHEMATIQUE</topic><topic>MODELOS MATEMATICOS</topic><topic>Models, Biological</topic><topic>NUMERO DE LACTACION</topic><topic>NUMERO DE LACTATION</topic><topic>RACE (ANIMAL)</topic><topic>RAZAS (ANIMALES)</topic><topic>RENDEMENT LAITIER</topic><topic>RENDIMIENTO LECHERO</topic><topic>Terrestrial animal productions</topic><topic>VACAS LECHERAS</topic><topic>VACHE LAITIERE</topic><topic>Vertebrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sherchand, L</creatorcontrib><creatorcontrib>McNew, R.W</creatorcontrib><creatorcontrib>Kellogg, D.W</creatorcontrib><creatorcontrib>Johnson, Z.B</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</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 & 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 & 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 & 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 & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & 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><collection>MEDLINE - Academic</collection><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sherchand, L</au><au>McNew, R.W</au><au>Kellogg, D.W</au><au>Johnson, Z.B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Selection of a mathematical model to generate lactation curves using daily milk yields of Holstein cows</atitle><jtitle>Journal of dairy science</jtitle><addtitle>J Dairy Sci</addtitle><date>1995-11-01</date><risdate>1995</risdate><volume>78</volume><issue>11</issue><spage>2507</spage><epage>2513</epage><pages>2507-2513</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><coden>JDSCAE</coden><abstract>Mathematical descriptions of early stages of lactation were investigated using daily milk yields of 117 first, 78 second, 57 third, and 36 fourth lactations of 120 Holstein cows fitted by 10 models. The measure of fit was the error mean squares, which were replaced by ranks to perform an analysis of variance with lactation number, model, and period as factors and with cows as replicates. The interaction of model and lactation number was significant for the fit of the entire lactation. A significant interaction of model and period was obtained for the fit of three 30-d intervals. For the entire lactation, the best fit for all four lactations occurred from the diphasic logistic function, y = d1(1 - tanh2(b1(nk - c1))) + d2(1 - tanh2(b2(n - c2))). For the first 30 d, a modified gamma function gave the best fit for the first lactation, the inverse polynomial function for the second lactation, and the quadratic log function for the third lactation. The diphasic logistic function gave the best fit for the remaining two periods and was not significantly different from the best fitting models for the first 30-d period. Hence, this function may be useful to describe the lactation curve of Holstein cows for dairy herds in which the daily milk yield of individual cows is constantly monitored with a computer</abstract><cop>Savoy, IL</cop><pub>Am Dairy Sci Assoc</pub><pmid>8747341</pmid><doi>10.3168/jds.S0022-0302(95)76880-1</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | ANALISIS ESTADISTICO ANALYSE STATISTIQUE Animal productions Animals Biological and medical sciences Cattle - physiology Female Fundamental and applied biological sciences. Psychology LACTACION LACTATION Lactation - physiology Mathematics MODELE MATHEMATIQUE MODELOS MATEMATICOS Models, Biological NUMERO DE LACTACION NUMERO DE LACTATION RACE (ANIMAL) RAZAS (ANIMALES) RENDEMENT LAITIER RENDIMIENTO LECHERO Terrestrial animal productions VACAS LECHERAS VACHE LAITIERE Vertebrates |
title | Selection of a mathematical model to generate lactation curves using daily milk yields of Holstein cows |
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