Phenotypic relationships between docility and reproduction in Angus heifers 1
The objective of this study was to elucidate the phenotypic relationships between docility and first-service AI conception rate in heifers. Data (n = 337) collected from 3 cooperator herds in Kansas at the start of synchronization protocol included exit velocity (EV), chute score (CS), fecal cortiso...
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| Veröffentlicht in: | Journal of animal science 2016-02, Vol.94 (2), p.483-489 |
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| creator | White, K L Bormann, J M Olson, K C Jaeger, J R Johnson, S Downey, B Grieger, D M Waggoner, J W Moser, D W Weaber, R L |
| description | The objective of this study was to elucidate the phenotypic relationships between docility and first-service AI conception rate in heifers. Data (n = 337) collected from 3 cooperator herds in Kansas at the start of synchronization protocol included exit velocity (EV), chute score (CS), fecal cortisol (FC), and blood serum cortisol (BC). Data were analyzed using logistic regression with 30-d pregnancy rate as the dependent variable. The model included the fixed effect of contemporary group and the covariates FC, BC, EV, CS, BW, and age. Correlation coefficients were calculated between all continuous traits. Pregnancy rate ranged from 34% to 60% between herds. Blood cortisol positively correlated with EV (r = 0.22, P |
| doi_str_mv | 10.2527/jas2015-9327 |
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Data (n = 337) collected from 3 cooperator herds in Kansas at the start of synchronization protocol included exit velocity (EV), chute score (CS), fecal cortisol (FC), and blood serum cortisol (BC). Data were analyzed using logistic regression with 30-d pregnancy rate as the dependent variable. The model included the fixed effect of contemporary group and the covariates FC, BC, EV, CS, BW, and age. Correlation coefficients were calculated between all continuous traits. Pregnancy rate ranged from 34% to 60% between herds. Blood cortisol positively correlated with EV (r = 0.22, P <0.01), negatively correlated with age (r = -0.12, P < 0.03), and tended to be negatively correlated with BW (r = -0.10, P = 0.09). Exit velocity was positively correlated with CS (r = 0.24, P < 0.01) and negatively correlated with BW (r = -0.15, P < 0.01) and age (r = -0.12, P < 0.03). Chute score negatively correlated with age (r = -0.14, P < 0.01), and age and BW were moderately positively correlated (r = 0.42, P < 0.01), as expected. Older, heavier animals generally had better temperament, as indicated by lower BC, EV, and CS. The power of our test could detect no significant predictors of 30-d pregnancy for the combined data from all ranches. When the data were divided by ranch, CS (P < 0.03) and BW (P < 0.01) were both significant predictors for 30-d pregnancy for ranch 1. The odds ratio estimate for CS has an inverse relationship with pregnancy, meaning that a 1-unit increase in average CS will reduce the probability of pregnancy at ranch 1 by 48.1%. Weight also has a negative impact on pregnancy because a 1-kg increase in BW will decrease the probability of pregnancy by 2.2%. Fertility is a complex trait that depends on many factors; our data suggest that docility is 1 factor that warrants further investigation.]]></description><identifier>ISSN: 0021-8812</identifier><identifier>EISSN: 1525-3163</identifier><identifier>DOI: 10.2527/jas2015-9327</identifier><language>eng</language><publisher>Champaign: Oxford University Press</publisher><subject>Age ; Animal reproduction ; Animal sciences ; Blood ; Cattle ; Correlation analysis ; Correlation coefficients ; Cortisol ; Data collection ; Data processing ; Dependent variables ; Fertility ; Genetics ; Genotype & phenotype ; Pregnancy ; Regression analysis ; Statistical analysis ; Studies ; Synchronism ; Synchronization ; Velocity</subject><ispartof>Journal of animal science, 2016-02, Vol.94 (2), p.483-489</ispartof><rights>Copyright American Society of Animal Science Feb 2016</rights><rights>Copyright Oxford University Press, UK Feb 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>White, K L</creatorcontrib><creatorcontrib>Bormann, J M</creatorcontrib><creatorcontrib>Olson, K C</creatorcontrib><creatorcontrib>Jaeger, J R</creatorcontrib><creatorcontrib>Johnson, S</creatorcontrib><creatorcontrib>Downey, B</creatorcontrib><creatorcontrib>Grieger, D M</creatorcontrib><creatorcontrib>Waggoner, J W</creatorcontrib><creatorcontrib>Moser, D W</creatorcontrib><creatorcontrib>Weaber, R L</creatorcontrib><title>Phenotypic relationships between docility and reproduction in Angus heifers 1</title><title>Journal of animal science</title><description><![CDATA[The objective of this study was to elucidate the phenotypic relationships between docility and first-service AI conception rate in heifers. Data (n = 337) collected from 3 cooperator herds in Kansas at the start of synchronization protocol included exit velocity (EV), chute score (CS), fecal cortisol (FC), and blood serum cortisol (BC). Data were analyzed using logistic regression with 30-d pregnancy rate as the dependent variable. The model included the fixed effect of contemporary group and the covariates FC, BC, EV, CS, BW, and age. Correlation coefficients were calculated between all continuous traits. Pregnancy rate ranged from 34% to 60% between herds. Blood cortisol positively correlated with EV (r = 0.22, P <0.01), negatively correlated with age (r = -0.12, P < 0.03), and tended to be negatively correlated with BW (r = -0.10, P = 0.09). Exit velocity was positively correlated with CS (r = 0.24, P < 0.01) and negatively correlated with BW (r = -0.15, P < 0.01) and age (r = -0.12, P < 0.03). Chute score negatively correlated with age (r = -0.14, P < 0.01), and age and BW were moderately positively correlated (r = 0.42, P < 0.01), as expected. Older, heavier animals generally had better temperament, as indicated by lower BC, EV, and CS. The power of our test could detect no significant predictors of 30-d pregnancy for the combined data from all ranches. When the data were divided by ranch, CS (P < 0.03) and BW (P < 0.01) were both significant predictors for 30-d pregnancy for ranch 1. The odds ratio estimate for CS has an inverse relationship with pregnancy, meaning that a 1-unit increase in average CS will reduce the probability of pregnancy at ranch 1 by 48.1%. Weight also has a negative impact on pregnancy because a 1-kg increase in BW will decrease the probability of pregnancy by 2.2%. Fertility is a complex trait that depends on many factors; our data suggest that docility is 1 factor that warrants further investigation.]]></description><subject>Age</subject><subject>Animal reproduction</subject><subject>Animal sciences</subject><subject>Blood</subject><subject>Cattle</subject><subject>Correlation analysis</subject><subject>Correlation coefficients</subject><subject>Cortisol</subject><subject>Data collection</subject><subject>Data processing</subject><subject>Dependent variables</subject><subject>Fertility</subject><subject>Genetics</subject><subject>Genotype & phenotype</subject><subject>Pregnancy</subject><subject>Regression analysis</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Synchronism</subject><subject>Synchronization</subject><subject>Velocity</subject><issn>0021-8812</issn><issn>1525-3163</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9jr1OwzAYRS0EEqWw8QCWmAPfTxw7Y1UBRSqCoXvlJjZxVDkhToT69gTBzF3ucnTuFeIW4Z4U6YfWJgJUWcmkz8QCFamMseBzsQAgzIxBuhRXKbUASKpUC_H63rjYjac-VHJwRzuGLqYm9Eke3PjlXJR1V4VjGE_SxnpG-qGrp-oHkyHKVfyYkmxc8G5IEq_FhbfH5G7-eil2T4-79Sbbvj2_rFfbrFcFZ6ogRo_WExrrIWfOC1sDeawcGs1Ulwpro9HlpIE9H6CwbNGUVlcGkJfi7lc7n_mcXBr3bTcNcV7cEzCTAaP4Pwq1LudQafgbirxabg</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>White, K L</creator><creator>Bormann, J M</creator><creator>Olson, K C</creator><creator>Jaeger, J R</creator><creator>Johnson, S</creator><creator>Downey, B</creator><creator>Grieger, 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relationships between docility and reproduction in Angus heifers 1</title><author>White, K L ; Bormann, J M ; Olson, K C ; Jaeger, J R ; Johnson, S ; Downey, B ; Grieger, D M ; Waggoner, J W ; Moser, D W ; Weaber, R L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p563-56231f1af218af043346ad02f1ce18732d951d871e42703f3b06a3a189a7c8013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Age</topic><topic>Animal reproduction</topic><topic>Animal sciences</topic><topic>Blood</topic><topic>Cattle</topic><topic>Correlation analysis</topic><topic>Correlation coefficients</topic><topic>Cortisol</topic><topic>Data collection</topic><topic>Data processing</topic><topic>Dependent variables</topic><topic>Fertility</topic><topic>Genetics</topic><topic>Genotype & phenotype</topic><topic>Pregnancy</topic><topic>Regression analysis</topic><topic>Statistical 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relationships between docility and reproduction in Angus heifers 1</atitle><jtitle>Journal of animal science</jtitle><date>2016-02-01</date><risdate>2016</risdate><volume>94</volume><issue>2</issue><spage>483</spage><epage>489</epage><pages>483-489</pages><issn>0021-8812</issn><eissn>1525-3163</eissn><abstract><![CDATA[The objective of this study was to elucidate the phenotypic relationships between docility and first-service AI conception rate in heifers. Data (n = 337) collected from 3 cooperator herds in Kansas at the start of synchronization protocol included exit velocity (EV), chute score (CS), fecal cortisol (FC), and blood serum cortisol (BC). Data were analyzed using logistic regression with 30-d pregnancy rate as the dependent variable. The model included the fixed effect of contemporary group and the covariates FC, BC, EV, CS, BW, and age. Correlation coefficients were calculated between all continuous traits. Pregnancy rate ranged from 34% to 60% between herds. Blood cortisol positively correlated with EV (r = 0.22, P <0.01), negatively correlated with age (r = -0.12, P < 0.03), and tended to be negatively correlated with BW (r = -0.10, P = 0.09). Exit velocity was positively correlated with CS (r = 0.24, P < 0.01) and negatively correlated with BW (r = -0.15, P < 0.01) and age (r = -0.12, P < 0.03). Chute score negatively correlated with age (r = -0.14, P < 0.01), and age and BW were moderately positively correlated (r = 0.42, P < 0.01), as expected. Older, heavier animals generally had better temperament, as indicated by lower BC, EV, and CS. The power of our test could detect no significant predictors of 30-d pregnancy for the combined data from all ranches. When the data were divided by ranch, CS (P < 0.03) and BW (P < 0.01) were both significant predictors for 30-d pregnancy for ranch 1. The odds ratio estimate for CS has an inverse relationship with pregnancy, meaning that a 1-unit increase in average CS will reduce the probability of pregnancy at ranch 1 by 48.1%. Weight also has a negative impact on pregnancy because a 1-kg increase in BW will decrease the probability of pregnancy by 2.2%. Fertility is a complex trait that depends on many factors; our data suggest that docility is 1 factor that warrants further investigation.]]></abstract><cop>Champaign</cop><pub>Oxford University Press</pub><doi>10.2527/jas2015-9327</doi><tpages>7</tpages></addata></record> |
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| source | Oxford University Press Journals All Titles (1996-Current) |
| subjects | Age Animal reproduction Animal sciences Blood Cattle Correlation analysis Correlation coefficients Cortisol Data collection Data processing Dependent variables Fertility Genetics Genotype & phenotype Pregnancy Regression analysis Statistical analysis Studies Synchronism Synchronization Velocity |
| title | Phenotypic relationships between docility and reproduction in Angus heifers 1 |
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