Genetic Evaluation of Dairy Cattle Using Test Day Yields and Random Regression Model
A model for analyzing test day records that contains both fixed and random regression coefficients was applied to the genetic evaluation of first lactation data for Canadian Holstein dairy cows. Data were 5.1million test day records with milk, fat, and protein yields from calvings between 1988 and 1...
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| Veröffentlicht in: | Journal of dairy science 1997-06, Vol.80 (6), p.1217-1226 |
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| creator | Jamrozik, J. Schaeffer, L.R. Dekkers, J.C.M. |
| description | A model for analyzing test day records that contains both fixed and random regression coefficients was applied to the genetic evaluation of first lactation data for Canadian Holstein dairy cows. Data were 5.1million test day records with milk, fat, and protein yields from calvings between 1988 and 1995 from herds in four regions of Canada. Each evaluated animal received five predictions for each trait representing the random regression coefficients. From these solutions, a range of estimated breeding values for various parts of the lactation could be calculated. Three genetic measures of persistency were compared. Bulls could be selected for both yields and persistency of their daughters in whatever combination was desirable. Test day analyses could result in monthly genetic evaluations for yield traits. |
| doi_str_mv | 10.3168/jds.S0022-0302(97)76050-8 |
| format | Article |
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Data were 5.1million test day records with milk, fat, and protein yields from calvings between 1988 and 1995 from herds in four regions of Canada. Each evaluated animal received five predictions for each trait representing the random regression coefficients. From these solutions, a range of estimated breeding values for various parts of the lactation could be calculated. Three genetic measures of persistency were compared. Bulls could be selected for both yields and persistency of their daughters in whatever combination was desirable. 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Biological and molecular evolution ; Lactation - genetics ; Lactation - physiology ; Male ; Milk - metabolism ; Models, Genetic ; persistency ; random regression model ; Regression Analysis ; test day yields ; Vertebrata</subject><ispartof>Journal of dairy science, 1997-06, Vol.80 (6), p.1217-1226</ispartof><rights>1997 American Dairy Science Association</rights><rights>1997 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c567t-52b20c8e93551958cf7a3e959eddf32e18c8354e413aff3c395954aa5988c00c3</citedby><cites>FETCH-LOGICAL-c567t-52b20c8e93551958cf7a3e959eddf32e18c8354e413aff3c395954aa5988c00c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.3168/jds.S0022-0302(97)76050-8$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,3551,27874,27929,27930,46000</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2709110$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9201594$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jamrozik, J.</creatorcontrib><creatorcontrib>Schaeffer, L.R.</creatorcontrib><creatorcontrib>Dekkers, J.C.M.</creatorcontrib><title>Genetic Evaluation of Dairy Cattle Using Test Day Yields and Random Regression Model</title><title>Journal of dairy science</title><addtitle>J Dairy Sci</addtitle><description>A model for analyzing test day records that contains both fixed and random regression coefficients was applied to the genetic evaluation of first lactation data for Canadian Holstein dairy cows. Data were 5.1million test day records with milk, fat, and protein yields from calvings between 1988 and 1995 from herds in four regions of Canada. Each evaluated animal received five predictions for each trait representing the random regression coefficients. From these solutions, a range of estimated breeding values for various parts of the lactation could be calculated. Three genetic measures of persistency were compared. Bulls could be selected for both yields and persistency of their daughters in whatever combination was desirable. Test day analyses could result in monthly genetic evaluations for yield traits.</description><subject>Analysis of Variance</subject><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Breeding</subject><subject>Canada</subject><subject>Cattle - genetics</subject><subject>Cattle - metabolism</subject><subject>Cattle - physiology</subject><subject>Classical genetics, quantitative genetics, hybrids</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>genetic evaluation</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>Lactation - genetics</subject><subject>Lactation - physiology</subject><subject>Male</subject><subject>Milk - metabolism</subject><subject>Models, Genetic</subject><subject>persistency</subject><subject>random regression model</subject><subject>Regression Analysis</subject><subject>test day yields</subject><subject>Vertebrata</subject><issn>0022-0302</issn><issn>1525-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>K30</sourceid><recordid>eNqNkE9vEzEQxS0EKiHwEZCMQBUctvhPvLaPKC0FqQippAdOlmvPpo6862LvFuXb4zRRkDhxseWZ92aefwi9oeSM01Z93Phy9oMQxhrCCXuv5QfZEkEa9QTNqGCi4VSrp2h2lDxHL0rZ1CdlRJygE80IFXoxQ6tLGGAMDl882DjZMaQBpw6f25C3eGnHMQK-KWFY4xWUsda3-GeA6Au2g8fX9Ug9voZ1hlJ23m_JQ3yJnnU2Fnh1uOfo5vPFavmlufp--XX56apxopVjI9gtI06B5kJQLZTrpOWghQbvO86AKqe4WMCCctt13PHaEgtrhVbKEeL4HJ3u597n9Guq-UwfioMY7QBpKkZqopmo9jl6-49wk6Y81GyGKimJbrnUVaX3KpdTKRk6c59Db_PWUGJ23E3lbh65mx1Uo6V55G5U9b4-bJhue_BH5wF07b879G1xNnbZDi6Uo4zVDJSSvz-6C-u73yGDKb2NsQ6lu-WKmNZQRmUVLvdCqHwfAmRTXIDBga8mNxqfwn-k_gPjfq0B</recordid><startdate>19970601</startdate><enddate>19970601</enddate><creator>Jamrozik, J.</creator><creator>Schaeffer, L.R.</creator><creator>Dekkers, J.C.M.</creator><general>Elsevier Inc</general><general>Am Dairy Sci Assoc</general><general>American Dairy Science Association</general><scope>6I.</scope><scope>AAFTH</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</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><scope>7X8</scope></search><sort><creationdate>19970601</creationdate><title>Genetic Evaluation of Dairy Cattle Using Test Day Yields and Random Regression Model</title><author>Jamrozik, J. ; Schaeffer, L.R. ; Dekkers, J.C.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c567t-52b20c8e93551958cf7a3e959eddf32e18c8354e413aff3c395954aa5988c00c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Analysis of Variance</topic><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>Breeding</topic><topic>Canada</topic><topic>Cattle - genetics</topic><topic>Cattle - metabolism</topic><topic>Cattle - physiology</topic><topic>Classical genetics, quantitative genetics, hybrids</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>genetic evaluation</topic><topic>Genetics of eukaryotes. 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Data were 5.1million test day records with milk, fat, and protein yields from calvings between 1988 and 1995 from herds in four regions of Canada. Each evaluated animal received five predictions for each trait representing the random regression coefficients. From these solutions, a range of estimated breeding values for various parts of the lactation could be calculated. Three genetic measures of persistency were compared. Bulls could be selected for both yields and persistency of their daughters in whatever combination was desirable. Test day analyses could result in monthly genetic evaluations for yield traits.</abstract><cop>Savoy, IL</cop><pub>Elsevier Inc</pub><pmid>9201594</pmid><doi>10.3168/jds.S0022-0302(97)76050-8</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of dairy science, 1997-06, Vol.80 (6), p.1217-1226 |
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| language | eng |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Periodicals Index Online; Access via ScienceDirect (Elsevier) |
| subjects | Analysis of Variance Animals Biological and medical sciences Breeding Canada Cattle - genetics Cattle - metabolism Cattle - physiology Classical genetics, quantitative genetics, hybrids Female Fundamental and applied biological sciences. Psychology genetic evaluation Genetics of eukaryotes. Biological and molecular evolution Lactation - genetics Lactation - physiology Male Milk - metabolism Models, Genetic persistency random regression model Regression Analysis test day yields Vertebrata |
| title | Genetic Evaluation of Dairy Cattle Using Test Day Yields and Random Regression Model |
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