Loading…

Genetic and phenotypic parameters for test day milk yield of Sahiwal cattle in the semi-arid tropics

A total of 19 376 test day (TD) milk yield records from the first three lactations of 1618 cows daughters of 162 sires were used to estimate genetic and phenotypic parameters and determine the relationship between daily milk yield and lactation milk yield in the Sahiwal cattle in Kenya. Variance com...

Full description

Saved in:
Bibliographic Details
Published in:Animal (Cambridge, England) England), 2007-03, Vol.1 (2), p.185-192
Main Authors: Ilatsia, E. D., Muasya, T. K., Muhuyi, W. B., Kahi, A. K.
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-c504t-12b793b1bc2e10dce31f5593273e1846a46077debfb509fa0a7b40253f1f2bf53
cites cdi_FETCH-LOGICAL-c504t-12b793b1bc2e10dce31f5593273e1846a46077debfb509fa0a7b40253f1f2bf53
container_end_page 192
container_issue 2
container_start_page 185
container_title Animal (Cambridge, England)
container_volume 1
creator Ilatsia, E. D.
Muasya, T. K.
Muhuyi, W. B.
Kahi, A. K.
description A total of 19 376 test day (TD) milk yield records from the first three lactations of 1618 cows daughters of 162 sires were used to estimate genetic and phenotypic parameters and determine the relationship between daily milk yield and lactation milk yield in the Sahiwal cattle in Kenya. Variance components were estimated using animal models based on a derivative free restricted maximum likelihood procedure. Variance components were estimated using various univariate and multi-trait fixed regression test day models (TDM) that defined contemporary groups either based on the year-season of calving (YSCV) or on the year-season of TD milk sampling (YSTD). Variance components were influenced by CG which resulted in differences in heritability and repeatability estimates between TDM. Models considering YSTD resulted in higher additive genetic variances and lower residual variances compared with models in which YSCV was considered. Heritability estimates for daily yield ranged from 0.28 to 0.46, 0.38 to 0.52 and 0.33 to 0.52 in the first, second and third lactation, respectively. In the first and second lactation, the heritability estimates were highest between TD 2 and TD 4. Genetic correlations among daily milk yields ranged from 0.41 to 0.93, 0.50 to 0.83 and 0.43 to 86 in the first, second and third lactation, respectively. The phenotypic correlations were correspondingly lower. Genetic correlations were different from unit when fitting multi-trait TDM. Therefore, a multiple trait model would be more ideal in determining the genetic merit of dairy sires and bulls based on daily yield records. Genetic and phenotypic correlations between daily yield and lactation yields were high and positive. Genetic correlations ranged from 0.84 to 0.99, 0.94 to 1.00 and 0.94 to 0.97 in the first, second and third lactations, respectively. The corresponding phenotypic correlation estimates ranged from 0.50 to 0.85, 0.50 to 0.83 and 0.53 to 0.87. The high genetic correlation between daily yield and lactation yield imply that both traits are influenced by similar genes. Therefore daily yields records could be used in genetic evaluation in the Sahiwal cattle breeding programme.
doi_str_mv 10.1017/S175173110739263X
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_02c4b831d53749549654fb3512ec8000</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S175173110739263X</cupid><doaj_id>oai_doaj_org_article_02c4b831d53749549654fb3512ec8000</doaj_id><sourcerecordid>948907363</sourcerecordid><originalsourceid>FETCH-LOGICAL-c504t-12b793b1bc2e10dce31f5593273e1846a46077debfb509fa0a7b40253f1f2bf53</originalsourceid><addsrcrecordid>eNp1kU2P0zAQhiMEYpeFH8AFLC6cAh5_xPERrWBZaSUOZaW9WXYybl2SONipUP89Li0VAnHyePTMOx9vVb0E-g4oqPcrUBIUB6CKa9bwh0fV5SFVK84eHp9jgIvqWc5bSqUGIZ5WF4wJIVjLL6v-BidcQkfs1JN5g1Nc9nP5zjbZERdMmfiYyIJ5Ib3dkzEM38g-4NCT6MnKbsIPO5DOLsuAJExk2SDJOIbaptCTJcUilp9XT7wdMr44vVfV_aePX68_13dfbm6vP9zVnaRiqYE5pbkD1zEE2nfIwUupOVMcoRWNFQ1VqkfnnaTaW2qVE5RJ7sEz5yW_qm6Pun20WzOnMNq0N9EG8ysR09rYVJYd0FDWCddy6CVXQkuhGym84xIYdi2ltGi9PWrNKX7flfXNGHKHw2AnjLtstGh1OXvDC_nmL3Ibd2kqixrQ5fqsaaFAcIS6FHNO6M_jATUHM80_ZpaaVyfhnRuxP1f8dq8Ar4-At9HYdQrZ3K8YBU6p0lrzA8FPbe3oiiNr_GO4_zb-CQxOsI0</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>197312681</pqid></control><display><type>article</type><title>Genetic and phenotypic parameters for test day milk yield of Sahiwal cattle in the semi-arid tropics</title><source>Elsevier ScienceDirect Journals</source><creator>Ilatsia, E. D. ; Muasya, T. K. ; Muhuyi, W. B. ; Kahi, A. K.</creator><creatorcontrib>Ilatsia, E. D. ; Muasya, T. K. ; Muhuyi, W. B. ; Kahi, A. K.</creatorcontrib><description>A total of 19 376 test day (TD) milk yield records from the first three lactations of 1618 cows daughters of 162 sires were used to estimate genetic and phenotypic parameters and determine the relationship between daily milk yield and lactation milk yield in the Sahiwal cattle in Kenya. Variance components were estimated using animal models based on a derivative free restricted maximum likelihood procedure. Variance components were estimated using various univariate and multi-trait fixed regression test day models (TDM) that defined contemporary groups either based on the year-season of calving (YSCV) or on the year-season of TD milk sampling (YSTD). Variance components were influenced by CG which resulted in differences in heritability and repeatability estimates between TDM. Models considering YSTD resulted in higher additive genetic variances and lower residual variances compared with models in which YSCV was considered. Heritability estimates for daily yield ranged from 0.28 to 0.46, 0.38 to 0.52 and 0.33 to 0.52 in the first, second and third lactation, respectively. In the first and second lactation, the heritability estimates were highest between TD 2 and TD 4. Genetic correlations among daily milk yields ranged from 0.41 to 0.93, 0.50 to 0.83 and 0.43 to 86 in the first, second and third lactation, respectively. The phenotypic correlations were correspondingly lower. Genetic correlations were different from unit when fitting multi-trait TDM. Therefore, a multiple trait model would be more ideal in determining the genetic merit of dairy sires and bulls based on daily yield records. Genetic and phenotypic correlations between daily yield and lactation yields were high and positive. Genetic correlations ranged from 0.84 to 0.99, 0.94 to 1.00 and 0.94 to 0.97 in the first, second and third lactations, respectively. The corresponding phenotypic correlation estimates ranged from 0.50 to 0.85, 0.50 to 0.83 and 0.53 to 0.87. The high genetic correlation between daily yield and lactation yield imply that both traits are influenced by similar genes. Therefore daily yields records could be used in genetic evaluation in the Sahiwal cattle breeding programme.</description><identifier>ISSN: 1751-7311</identifier><identifier>EISSN: 1751-732X</identifier><identifier>DOI: 10.1017/S175173110739263X</identifier><identifier>PMID: 22444283</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>cattle ; correlation ; genetic correlation ; heritability ; milk yield ; phenotypic correlation ; Sahiwal ; semiarid zones ; variance components</subject><ispartof>Animal (Cambridge, England), 2007-03, Vol.1 (2), p.185-192</ispartof><rights>Copyright © The Animal Consortium 2007</rights><rights>The Animal Consortium</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-12b793b1bc2e10dce31f5593273e1846a46077debfb509fa0a7b40253f1f2bf53</citedby><cites>FETCH-LOGICAL-c504t-12b793b1bc2e10dce31f5593273e1846a46077debfb509fa0a7b40253f1f2bf53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22444283$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ilatsia, E. D.</creatorcontrib><creatorcontrib>Muasya, T. K.</creatorcontrib><creatorcontrib>Muhuyi, W. B.</creatorcontrib><creatorcontrib>Kahi, A. K.</creatorcontrib><title>Genetic and phenotypic parameters for test day milk yield of Sahiwal cattle in the semi-arid tropics</title><title>Animal (Cambridge, England)</title><addtitle>Animal</addtitle><description>A total of 19 376 test day (TD) milk yield records from the first three lactations of 1618 cows daughters of 162 sires were used to estimate genetic and phenotypic parameters and determine the relationship between daily milk yield and lactation milk yield in the Sahiwal cattle in Kenya. Variance components were estimated using animal models based on a derivative free restricted maximum likelihood procedure. Variance components were estimated using various univariate and multi-trait fixed regression test day models (TDM) that defined contemporary groups either based on the year-season of calving (YSCV) or on the year-season of TD milk sampling (YSTD). Variance components were influenced by CG which resulted in differences in heritability and repeatability estimates between TDM. Models considering YSTD resulted in higher additive genetic variances and lower residual variances compared with models in which YSCV was considered. Heritability estimates for daily yield ranged from 0.28 to 0.46, 0.38 to 0.52 and 0.33 to 0.52 in the first, second and third lactation, respectively. In the first and second lactation, the heritability estimates were highest between TD 2 and TD 4. Genetic correlations among daily milk yields ranged from 0.41 to 0.93, 0.50 to 0.83 and 0.43 to 86 in the first, second and third lactation, respectively. The phenotypic correlations were correspondingly lower. Genetic correlations were different from unit when fitting multi-trait TDM. Therefore, a multiple trait model would be more ideal in determining the genetic merit of dairy sires and bulls based on daily yield records. Genetic and phenotypic correlations between daily yield and lactation yields were high and positive. Genetic correlations ranged from 0.84 to 0.99, 0.94 to 1.00 and 0.94 to 0.97 in the first, second and third lactations, respectively. The corresponding phenotypic correlation estimates ranged from 0.50 to 0.85, 0.50 to 0.83 and 0.53 to 0.87. The high genetic correlation between daily yield and lactation yield imply that both traits are influenced by similar genes. Therefore daily yields records could be used in genetic evaluation in the Sahiwal cattle breeding programme.</description><subject>cattle</subject><subject>correlation</subject><subject>genetic correlation</subject><subject>heritability</subject><subject>milk yield</subject><subject>phenotypic correlation</subject><subject>Sahiwal</subject><subject>semiarid zones</subject><subject>variance components</subject><issn>1751-7311</issn><issn>1751-732X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp1kU2P0zAQhiMEYpeFH8AFLC6cAh5_xPERrWBZaSUOZaW9WXYybl2SONipUP89Li0VAnHyePTMOx9vVb0E-g4oqPcrUBIUB6CKa9bwh0fV5SFVK84eHp9jgIvqWc5bSqUGIZ5WF4wJIVjLL6v-BidcQkfs1JN5g1Nc9nP5zjbZERdMmfiYyIJ5Ib3dkzEM38g-4NCT6MnKbsIPO5DOLsuAJExk2SDJOIbaptCTJcUilp9XT7wdMr44vVfV_aePX68_13dfbm6vP9zVnaRiqYE5pbkD1zEE2nfIwUupOVMcoRWNFQ1VqkfnnaTaW2qVE5RJ7sEz5yW_qm6Pun20WzOnMNq0N9EG8ysR09rYVJYd0FDWCddy6CVXQkuhGym84xIYdi2ltGi9PWrNKX7flfXNGHKHw2AnjLtstGh1OXvDC_nmL3Ibd2kqixrQ5fqsaaFAcIS6FHNO6M_jATUHM80_ZpaaVyfhnRuxP1f8dq8Ar4-At9HYdQrZ3K8YBU6p0lrzA8FPbe3oiiNr_GO4_zb-CQxOsI0</recordid><startdate>20070301</startdate><enddate>20070301</enddate><creator>Ilatsia, E. D.</creator><creator>Muasya, T. K.</creator><creator>Muhuyi, W. B.</creator><creator>Kahi, A. K.</creator><general>Cambridge University Press</general><general>Elsevier Limited</general><general>Elsevier</general><scope>FBQ</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7T7</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20070301</creationdate><title>Genetic and phenotypic parameters for test day milk yield of Sahiwal cattle in the semi-arid tropics</title><author>Ilatsia, E. D. ; Muasya, T. K. ; Muhuyi, W. B. ; Kahi, A. K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-12b793b1bc2e10dce31f5593273e1846a46077debfb509fa0a7b40253f1f2bf53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>cattle</topic><topic>correlation</topic><topic>genetic correlation</topic><topic>heritability</topic><topic>milk yield</topic><topic>phenotypic correlation</topic><topic>Sahiwal</topic><topic>semiarid zones</topic><topic>variance components</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ilatsia, E. D.</creatorcontrib><creatorcontrib>Muasya, T. K.</creatorcontrib><creatorcontrib>Muhuyi, W. B.</creatorcontrib><creatorcontrib>Kahi, A. K.</creatorcontrib><collection>AGRIS</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Animal (Cambridge, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ilatsia, E. D.</au><au>Muasya, T. K.</au><au>Muhuyi, W. B.</au><au>Kahi, A. K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic and phenotypic parameters for test day milk yield of Sahiwal cattle in the semi-arid tropics</atitle><jtitle>Animal (Cambridge, England)</jtitle><addtitle>Animal</addtitle><date>2007-03-01</date><risdate>2007</risdate><volume>1</volume><issue>2</issue><spage>185</spage><epage>192</epage><pages>185-192</pages><issn>1751-7311</issn><eissn>1751-732X</eissn><abstract>A total of 19 376 test day (TD) milk yield records from the first three lactations of 1618 cows daughters of 162 sires were used to estimate genetic and phenotypic parameters and determine the relationship between daily milk yield and lactation milk yield in the Sahiwal cattle in Kenya. Variance components were estimated using animal models based on a derivative free restricted maximum likelihood procedure. Variance components were estimated using various univariate and multi-trait fixed regression test day models (TDM) that defined contemporary groups either based on the year-season of calving (YSCV) or on the year-season of TD milk sampling (YSTD). Variance components were influenced by CG which resulted in differences in heritability and repeatability estimates between TDM. Models considering YSTD resulted in higher additive genetic variances and lower residual variances compared with models in which YSCV was considered. Heritability estimates for daily yield ranged from 0.28 to 0.46, 0.38 to 0.52 and 0.33 to 0.52 in the first, second and third lactation, respectively. In the first and second lactation, the heritability estimates were highest between TD 2 and TD 4. Genetic correlations among daily milk yields ranged from 0.41 to 0.93, 0.50 to 0.83 and 0.43 to 86 in the first, second and third lactation, respectively. The phenotypic correlations were correspondingly lower. Genetic correlations were different from unit when fitting multi-trait TDM. Therefore, a multiple trait model would be more ideal in determining the genetic merit of dairy sires and bulls based on daily yield records. Genetic and phenotypic correlations between daily yield and lactation yields were high and positive. Genetic correlations ranged from 0.84 to 0.99, 0.94 to 1.00 and 0.94 to 0.97 in the first, second and third lactations, respectively. The corresponding phenotypic correlation estimates ranged from 0.50 to 0.85, 0.50 to 0.83 and 0.53 to 0.87. The high genetic correlation between daily yield and lactation yield imply that both traits are influenced by similar genes. Therefore daily yields records could be used in genetic evaluation in the Sahiwal cattle breeding programme.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>22444283</pmid><doi>10.1017/S175173110739263X</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1751-7311
ispartof Animal (Cambridge, England), 2007-03, Vol.1 (2), p.185-192
issn 1751-7311
1751-732X
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_02c4b831d53749549654fb3512ec8000
source Elsevier ScienceDirect Journals
subjects cattle
correlation
genetic correlation
heritability
milk yield
phenotypic correlation
Sahiwal
semiarid zones
variance components
title Genetic and phenotypic parameters for test day milk yield of Sahiwal cattle in the semi-arid tropics
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T06%3A31%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Genetic%20and%20phenotypic%20parameters%20for%20test%20day%20milk%20yield%20of%20Sahiwal%20cattle%20in%20the%20semi-arid%20tropics&rft.jtitle=Animal%20(Cambridge,%20England)&rft.au=Ilatsia,%20E.%20D.&rft.date=2007-03-01&rft.volume=1&rft.issue=2&rft.spage=185&rft.epage=192&rft.pages=185-192&rft.issn=1751-7311&rft.eissn=1751-732X&rft_id=info:doi/10.1017/S175173110739263X&rft_dat=%3Cproquest_doaj_%3E948907363%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c504t-12b793b1bc2e10dce31f5593273e1846a46077debfb509fa0a7b40253f1f2bf53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=197312681&rft_id=info:pmid/22444283&rft_cupid=10_1017_S175173110739263X&rfr_iscdi=true