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Genetic parameters for fecal egg counts and their relationship with body weights in Katahdin lambs
Abstract Reliance on anthelmintic drugs to control internal parasites in sheep is no longer sustainable because of the development of resistance to these drugs in parasite populations. Genetic selection may offer an alternative long-term solution, as differences in parasite resistance exist both wit...
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Published in: | Journal of animal science 2018-05, Vol.96 (5), p.1590-1599 |
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Reliance on anthelmintic drugs to control internal parasites in sheep is no longer sustainable because of the development of resistance to these drugs in parasite populations. Genetic selection may offer an alternative long-term solution, as differences in parasite resistance exist both within and among sheep breeds. However, selection for parasite resistance may have correlated effects on other production traits. The objectives of this study were to estimate genetic parameters for weaning (WFEC) and postweaning (PWFEC) fecal egg counts (FEC) and assess their relationship with birth (BWT), weaning (WWT), and postweaning (PWWT) BW in Katahdin lambs. The study used WFEC (n = 2,537), PWFEC (n = 3.421), BWT (n = 12,869), WWT (n = 10,961), and PWWT (n = 7,812) from 12,869 lambs measured between 2003 and 2015 in 13 flocks enrolled in the U.S. National Sheep Improvement Program. Animal and sire models were fitted to the data using the ASReml statistical package. Records were corrected for fixed effects of dam age, joint effect of type of birth and rearing, and management group (defined by joint effects of flock, sex, and birth year and season); lamb age in days at each measurement time was fitted as a covariate. Maternal additive and maternal permanent environmental effects were not significant (P > 0.05), but litter effects influenced (P < 0.01) both WFEC and PWFEC. Heritability estimates ranged from 0.18 to 0.26 for WFEC and 0.23 to 0.46 for PWFEC, depending on the model used. Heritability estimates from sire models were higher than estimates from animal models. Direct additive, litter, residual, and phenotypic correlations between WFEC and PWFEC were 0.82, 0.25, 0.15, and 0.29, respectively. Bivariate analyses revealed low to moderate correlations between BW and FEC. Moderate heritabilities for FEC in this study indicated that genetic progress for this trait can be achieved in Katahdin lambs and that selection for low FEC should have little or no effect on BW. |
doi_str_mv | 10.1093/jas/sky064 |
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Reliance on anthelmintic drugs to control internal parasites in sheep is no longer sustainable because of the development of resistance to these drugs in parasite populations. Genetic selection may offer an alternative long-term solution, as differences in parasite resistance exist both within and among sheep breeds. However, selection for parasite resistance may have correlated effects on other production traits. The objectives of this study were to estimate genetic parameters for weaning (WFEC) and postweaning (PWFEC) fecal egg counts (FEC) and assess their relationship with birth (BWT), weaning (WWT), and postweaning (PWWT) BW in Katahdin lambs. The study used WFEC (n = 2,537), PWFEC (n = 3.421), BWT (n = 12,869), WWT (n = 10,961), and PWWT (n = 7,812) from 12,869 lambs measured between 2003 and 2015 in 13 flocks enrolled in the U.S. National Sheep Improvement Program. Animal and sire models were fitted to the data using the ASReml statistical package. Records were corrected for fixed effects of dam age, joint effect of type of birth and rearing, and management group (defined by joint effects of flock, sex, and birth year and season); lamb age in days at each measurement time was fitted as a covariate. Maternal additive and maternal permanent environmental effects were not significant (P > 0.05), but litter effects influenced (P < 0.01) both WFEC and PWFEC. Heritability estimates ranged from 0.18 to 0.26 for WFEC and 0.23 to 0.46 for PWFEC, depending on the model used. Heritability estimates from sire models were higher than estimates from animal models. Direct additive, litter, residual, and phenotypic correlations between WFEC and PWFEC were 0.82, 0.25, 0.15, and 0.29, respectively. Bivariate analyses revealed low to moderate correlations between BW and FEC. Moderate heritabilities for FEC in this study indicated that genetic progress for this trait can be achieved in Katahdin lambs and that selection for low FEC should have little or no effect on BW.</description><identifier>ISSN: 0021-8812</identifier><identifier>EISSN: 1525-3163</identifier><identifier>DOI: 10.1093/jas/sky064</identifier><identifier>PMID: 29635633</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Animal Genetics and Genomics ; Animal models ; Animals ; Anthelmintic agents ; Anthelmintics - therapeutic use ; Birth ; Bivariate analysis ; Body Weight - genetics ; Breeding ; Childbirth & labor ; Climate ; Correlation analysis ; Drug development ; Drug resistance ; Drugs ; Environmental effects ; Estimates ; Feces ; Feces - parasitology ; Female ; Genetics ; Helminthiasis, Animal - parasitology ; Helminths - isolation & purification ; Heritability ; Litter ; Litter size ; Male ; Ovis aries ; Parameter estimation ; Parasite Egg Count - veterinary ; Parasite resistance ; Parasites ; Phenotype ; Population genetics ; Seasons ; Sheep ; Sheep Diseases - parasitology ; Statistical analysis ; Sustainable development ; Weaning</subject><ispartof>Journal of animal science, 2018-05, Vol.96 (5), p.1590-1599</ispartof><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2018</rights><rights>Copyright Oxford University Press, UK May 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-a36cdaee11569775e12534b0aade512a2d93abb1383395e705c4d58197b9ea693</citedby><cites>FETCH-LOGICAL-c436t-a36cdaee11569775e12534b0aade512a2d93abb1383395e705c4d58197b9ea693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140914/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140914/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29635633$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ngere, L</creatorcontrib><creatorcontrib>Burke, J M</creatorcontrib><creatorcontrib>Morgan, J L M</creatorcontrib><creatorcontrib>Miller, J E</creatorcontrib><creatorcontrib>Notter, D R</creatorcontrib><title>Genetic parameters for fecal egg counts and their relationship with body weights in Katahdin lambs</title><title>Journal of animal science</title><addtitle>J Anim Sci</addtitle><description>Abstract
Reliance on anthelmintic drugs to control internal parasites in sheep is no longer sustainable because of the development of resistance to these drugs in parasite populations. Genetic selection may offer an alternative long-term solution, as differences in parasite resistance exist both within and among sheep breeds. However, selection for parasite resistance may have correlated effects on other production traits. The objectives of this study were to estimate genetic parameters for weaning (WFEC) and postweaning (PWFEC) fecal egg counts (FEC) and assess their relationship with birth (BWT), weaning (WWT), and postweaning (PWWT) BW in Katahdin lambs. The study used WFEC (n = 2,537), PWFEC (n = 3.421), BWT (n = 12,869), WWT (n = 10,961), and PWWT (n = 7,812) from 12,869 lambs measured between 2003 and 2015 in 13 flocks enrolled in the U.S. National Sheep Improvement Program. Animal and sire models were fitted to the data using the ASReml statistical package. Records were corrected for fixed effects of dam age, joint effect of type of birth and rearing, and management group (defined by joint effects of flock, sex, and birth year and season); lamb age in days at each measurement time was fitted as a covariate. Maternal additive and maternal permanent environmental effects were not significant (P > 0.05), but litter effects influenced (P < 0.01) both WFEC and PWFEC. Heritability estimates ranged from 0.18 to 0.26 for WFEC and 0.23 to 0.46 for PWFEC, depending on the model used. Heritability estimates from sire models were higher than estimates from animal models. Direct additive, litter, residual, and phenotypic correlations between WFEC and PWFEC were 0.82, 0.25, 0.15, and 0.29, respectively. Bivariate analyses revealed low to moderate correlations between BW and FEC. Moderate heritabilities for FEC in this study indicated that genetic progress for this trait can be achieved in Katahdin lambs and that selection for low FEC should have little or no effect on BW.</description><subject>Animal Genetics and Genomics</subject><subject>Animal models</subject><subject>Animals</subject><subject>Anthelmintic agents</subject><subject>Anthelmintics - therapeutic use</subject><subject>Birth</subject><subject>Bivariate analysis</subject><subject>Body Weight - genetics</subject><subject>Breeding</subject><subject>Childbirth & labor</subject><subject>Climate</subject><subject>Correlation analysis</subject><subject>Drug development</subject><subject>Drug resistance</subject><subject>Drugs</subject><subject>Environmental effects</subject><subject>Estimates</subject><subject>Feces</subject><subject>Feces - parasitology</subject><subject>Female</subject><subject>Genetics</subject><subject>Helminthiasis, Animal - parasitology</subject><subject>Helminths - isolation & purification</subject><subject>Heritability</subject><subject>Litter</subject><subject>Litter size</subject><subject>Male</subject><subject>Ovis aries</subject><subject>Parameter estimation</subject><subject>Parasite Egg Count - veterinary</subject><subject>Parasite resistance</subject><subject>Parasites</subject><subject>Phenotype</subject><subject>Population genetics</subject><subject>Seasons</subject><subject>Sheep</subject><subject>Sheep Diseases - parasitology</subject><subject>Statistical analysis</subject><subject>Sustainable development</subject><subject>Weaning</subject><issn>0021-8812</issn><issn>1525-3163</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp90U9rFDEYBvAgFrtWL34ACYggwtj8n8lFkKK1WPCi5_DOzLs7WWcmY5Kx7LdvZGvRHjwlkB8PT3gIecHZO86sPN9DOk8_DsyoR2TDtdCV5EY-JhvGBK-ahotT8jSlPWNcaKufkFNhjdRGyg1pL3HG7Du6QIQJM8ZEtyHSLXYwUtztaBfWOScKc0_zgD7SiCNkH-Y0-IXe-DzQNvQHeoN-NxToZ_oFMgx9uYwwtekZOdnCmPD53XlGvn_6-O3ic3X99fLq4sN11SlpcgXSdD0gcq6NrWuNpaxULQPoUXMBorcS2pbLRkqrsWa6U71uuK1bi2CsPCPvj7nL2k7YdzjnCKNbop8gHlwA7_59mf3gduGXM1wxy1UJeHMXEMPPFVN2k08djiPMGNbkBBOKcctEU-irB3Qf1jiX7xWleG2MVHVRb4-qiyGliNv7Mpy539O5Mp07Tlfwy7_r39M_WxXw-gjCuvwv6Ba2IaM_</recordid><startdate>20180504</startdate><enddate>20180504</enddate><creator>Ngere, L</creator><creator>Burke, J M</creator><creator>Morgan, J L M</creator><creator>Miller, J E</creator><creator>Notter, D R</creator><general>Oxford University Press</general><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>3V.</scope><scope>7RQ</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>U9A</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180504</creationdate><title>Genetic parameters for fecal egg counts and their relationship with body weights in Katahdin lambs</title><author>Ngere, L ; Burke, J M ; Morgan, J L M ; Miller, J E ; Notter, D R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-a36cdaee11569775e12534b0aade512a2d93abb1383395e705c4d58197b9ea693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Animal Genetics and Genomics</topic><topic>Animal models</topic><topic>Animals</topic><topic>Anthelmintic agents</topic><topic>Anthelmintics - therapeutic use</topic><topic>Birth</topic><topic>Bivariate analysis</topic><topic>Body Weight - genetics</topic><topic>Breeding</topic><topic>Childbirth & labor</topic><topic>Climate</topic><topic>Correlation analysis</topic><topic>Drug development</topic><topic>Drug resistance</topic><topic>Drugs</topic><topic>Environmental effects</topic><topic>Estimates</topic><topic>Feces</topic><topic>Feces - parasitology</topic><topic>Female</topic><topic>Genetics</topic><topic>Helminthiasis, Animal - parasitology</topic><topic>Helminths - isolation & purification</topic><topic>Heritability</topic><topic>Litter</topic><topic>Litter size</topic><topic>Male</topic><topic>Ovis aries</topic><topic>Parameter estimation</topic><topic>Parasite Egg Count - veterinary</topic><topic>Parasite resistance</topic><topic>Parasites</topic><topic>Phenotype</topic><topic>Population genetics</topic><topic>Seasons</topic><topic>Sheep</topic><topic>Sheep Diseases - parasitology</topic><topic>Statistical analysis</topic><topic>Sustainable development</topic><topic>Weaning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ngere, L</creatorcontrib><creatorcontrib>Burke, J M</creatorcontrib><creatorcontrib>Morgan, J L M</creatorcontrib><creatorcontrib>Miller, J E</creatorcontrib><creatorcontrib>Notter, D R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Research Library</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>ProQuest Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</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>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of animal science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ngere, L</au><au>Burke, J M</au><au>Morgan, J L M</au><au>Miller, J E</au><au>Notter, D R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic parameters for fecal egg counts and their relationship with body weights in Katahdin lambs</atitle><jtitle>Journal of animal science</jtitle><addtitle>J Anim Sci</addtitle><date>2018-05-04</date><risdate>2018</risdate><volume>96</volume><issue>5</issue><spage>1590</spage><epage>1599</epage><pages>1590-1599</pages><issn>0021-8812</issn><eissn>1525-3163</eissn><abstract>Abstract
Reliance on anthelmintic drugs to control internal parasites in sheep is no longer sustainable because of the development of resistance to these drugs in parasite populations. Genetic selection may offer an alternative long-term solution, as differences in parasite resistance exist both within and among sheep breeds. However, selection for parasite resistance may have correlated effects on other production traits. The objectives of this study were to estimate genetic parameters for weaning (WFEC) and postweaning (PWFEC) fecal egg counts (FEC) and assess their relationship with birth (BWT), weaning (WWT), and postweaning (PWWT) BW in Katahdin lambs. The study used WFEC (n = 2,537), PWFEC (n = 3.421), BWT (n = 12,869), WWT (n = 10,961), and PWWT (n = 7,812) from 12,869 lambs measured between 2003 and 2015 in 13 flocks enrolled in the U.S. National Sheep Improvement Program. Animal and sire models were fitted to the data using the ASReml statistical package. Records were corrected for fixed effects of dam age, joint effect of type of birth and rearing, and management group (defined by joint effects of flock, sex, and birth year and season); lamb age in days at each measurement time was fitted as a covariate. Maternal additive and maternal permanent environmental effects were not significant (P > 0.05), but litter effects influenced (P < 0.01) both WFEC and PWFEC. Heritability estimates ranged from 0.18 to 0.26 for WFEC and 0.23 to 0.46 for PWFEC, depending on the model used. Heritability estimates from sire models were higher than estimates from animal models. Direct additive, litter, residual, and phenotypic correlations between WFEC and PWFEC were 0.82, 0.25, 0.15, and 0.29, respectively. Bivariate analyses revealed low to moderate correlations between BW and FEC. Moderate heritabilities for FEC in this study indicated that genetic progress for this trait can be achieved in Katahdin lambs and that selection for low FEC should have little or no effect on BW.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>29635633</pmid><doi>10.1093/jas/sky064</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animal Genetics and Genomics Animal models Animals Anthelmintic agents Anthelmintics - therapeutic use Birth Bivariate analysis Body Weight - genetics Breeding Childbirth & labor Climate Correlation analysis Drug development Drug resistance Drugs Environmental effects Estimates Feces Feces - parasitology Female Genetics Helminthiasis, Animal - parasitology Helminths - isolation & purification Heritability Litter Litter size Male Ovis aries Parameter estimation Parasite Egg Count - veterinary Parasite resistance Parasites Phenotype Population genetics Seasons Sheep Sheep Diseases - parasitology Statistical analysis Sustainable development Weaning |
title | Genetic parameters for fecal egg counts and their relationship with body weights in Katahdin lambs |
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