Effect of calving season on the parameters and components of the lactation curve in Holstein dairy cows managed in a semi-desert climate
The lactation curve in dairy cows is influenced by the calving season, which is highly dependent on the warm climate in semi-arid regions. Objective herein was to evaluate effects of calving season on the parameters and components of the lactation curve in Holstein cows. The study included 278,317 m...
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creator | Zamorano-Algandar, Ricardo Medrano, Juan F. Thomas, Milton G. Enns, R. Mark Speidel, Scott E. Sánchez-Castro, Miguel A. Luna-Nevárez, Guillermo Leyva-Corona, José C. Luna-Nevárez, Pablo |
description | The lactation curve in dairy cows is influenced by the calving season, which is highly dependent on the warm climate in semi-arid regions. Objective herein was to evaluate effects of calving season on the parameters and components of the lactation curve in Holstein cows. The study included 278,317 milk records collected from 1086 cows from the 1st to 5th calving and good body condition score. The cows were grouped according to the season in which they calved: winter-calved (CS1), summer-calved (CS2), and autumn-calved cows (CS3). Ambient temperature and humidity data were used to calculate the temperature-humidity index (THI). The NLIN procedure was used to estimate the parameters of the lactation curve that served to calculate the components. The mixed procedure was executed to analyze the fixed effect of calving season. Associations between lactation curve traits were tested using correlation and regression analyses. A univariate model was utilized to calculate heritability. Average THI values during the lactation period were 73.5, 68.5, and 69.5 units for CS1, CS2, and CS3 groups, respectively. Initial milk production and increasing rate to the maximum milk yield in CS1 and CS3 groups were higher (
P
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doi_str_mv | 10.1007/s11250-022-03098-7 |
format | Article |
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P
< 0.05) than CS2 cows. However, persistency and total milk yield during the entire lactation period were superior (
P
< 0.05) for CS2 and CS3 cows compared to CS1 cows, probably due to the moderate heat stress during the lactation period in the CS1 group. In cows from CS2 and CS3 groups, total milk production at 305 days was moderately correlated with initial milk production (
r
= 0.47;
P
< 0.05), and highly correlated with milk yield at peak day (
r
= 0.91;
P
< 0.05) which resulted as reliable predictor for total milk yield during the entire lactation (
R
2
= 0.83). In conclusion, the THI prevailing during the different calving seasons appeared to be an important factor influencing the performance of the lactation curve.</description><identifier>ISSN: 0049-4747</identifier><identifier>EISSN: 1573-7438</identifier><identifier>DOI: 10.1007/s11250-022-03098-7</identifier><identifier>PMID: 35124730</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Ambient temperature ; Animal lactation ; Animals ; Arid climates ; Arid regions ; Arid zones ; Biomedical and Life Sciences ; Cattle ; Climate ; Dairy cattle ; Desert Climate ; Female ; Goats ; Heat stress ; Heat tolerance ; Heritability ; Homesteading ; Humidity ; Lactation ; Life Sciences ; Milk ; Milk production ; Parameters ; Regression analysis ; Regression models ; Regular Articles ; Seasons ; Semi arid areas ; Semiarid lands ; Veterinary Medicine/Veterinary Science ; Zoology</subject><ispartof>Tropical animal health and production, 2022-04, Vol.54 (2), p.88-88, Article 88</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Nature B.V.</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-75e454f19a867db77311fb522d535a8397fa64d8ad93e52a8d74eee6ad5548963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11250-022-03098-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11250-022-03098-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35124730$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zamorano-Algandar, Ricardo</creatorcontrib><creatorcontrib>Medrano, Juan F.</creatorcontrib><creatorcontrib>Thomas, Milton G.</creatorcontrib><creatorcontrib>Enns, R. Mark</creatorcontrib><creatorcontrib>Speidel, Scott E.</creatorcontrib><creatorcontrib>Sánchez-Castro, Miguel A.</creatorcontrib><creatorcontrib>Luna-Nevárez, Guillermo</creatorcontrib><creatorcontrib>Leyva-Corona, José C.</creatorcontrib><creatorcontrib>Luna-Nevárez, Pablo</creatorcontrib><title>Effect of calving season on the parameters and components of the lactation curve in Holstein dairy cows managed in a semi-desert climate</title><title>Tropical animal health and production</title><addtitle>Trop Anim Health Prod</addtitle><addtitle>Trop Anim Health Prod</addtitle><description>The lactation curve in dairy cows is influenced by the calving season, which is highly dependent on the warm climate in semi-arid regions. Objective herein was to evaluate effects of calving season on the parameters and components of the lactation curve in Holstein cows. The study included 278,317 milk records collected from 1086 cows from the 1st to 5th calving and good body condition score. The cows were grouped according to the season in which they calved: winter-calved (CS1), summer-calved (CS2), and autumn-calved cows (CS3). Ambient temperature and humidity data were used to calculate the temperature-humidity index (THI). The NLIN procedure was used to estimate the parameters of the lactation curve that served to calculate the components. The mixed procedure was executed to analyze the fixed effect of calving season. Associations between lactation curve traits were tested using correlation and regression analyses. A univariate model was utilized to calculate heritability. Average THI values during the lactation period were 73.5, 68.5, and 69.5 units for CS1, CS2, and CS3 groups, respectively. Initial milk production and increasing rate to the maximum milk yield in CS1 and CS3 groups were higher (
P
< 0.05) than CS2 cows. However, persistency and total milk yield during the entire lactation period were superior (
P
< 0.05) for CS2 and CS3 cows compared to CS1 cows, probably due to the moderate heat stress during the lactation period in the CS1 group. In cows from CS2 and CS3 groups, total milk production at 305 days was moderately correlated with initial milk production (
r
= 0.47;
P
< 0.05), and highly correlated with milk yield at peak day (
r
= 0.91;
P
< 0.05) which resulted as reliable predictor for total milk yield during the entire lactation (
R
2
= 0.83). In conclusion, the THI prevailing during the different calving seasons appeared to be an important factor influencing the performance of the lactation curve.</description><subject>Ambient temperature</subject><subject>Animal lactation</subject><subject>Animals</subject><subject>Arid climates</subject><subject>Arid regions</subject><subject>Arid zones</subject><subject>Biomedical and Life Sciences</subject><subject>Cattle</subject><subject>Climate</subject><subject>Dairy cattle</subject><subject>Desert Climate</subject><subject>Female</subject><subject>Goats</subject><subject>Heat stress</subject><subject>Heat tolerance</subject><subject>Heritability</subject><subject>Homesteading</subject><subject>Humidity</subject><subject>Lactation</subject><subject>Life Sciences</subject><subject>Milk</subject><subject>Milk production</subject><subject>Parameters</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Regular Articles</subject><subject>Seasons</subject><subject>Semi arid areas</subject><subject>Semiarid lands</subject><subject>Veterinary Medicine/Veterinary Science</subject><subject>Zoology</subject><issn>0049-4747</issn><issn>1573-7438</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kc2KFTEQhYMoznX0BVxIwI2baH473UsZRkcYcKPrUDepvvbQnVyT9Mi8wTy2ae-o4EISSEF951SFQ8hLwd8Kzu27IoQ0nHEpGVd86Jl9RHbCWMWsVv1jsuNcD0xbbc_Is1JuOG-yvntKzpQRUlvFd-T-chzRV5pG6mG-neKBFoSSIm23fkN6hAwLVsyFQgzUp-WYIsZaNskGzOAr1Knhfs23SKdIr9JcKrYiwJTvmuZHoQtEOGDY2tBGLBMLWDBX6udpgYrPyZMR5oIvHt5z8vXD5ZeLK3b9-eOni_fXzCvZVWYNaqNHMUDf2bC3Vgkx7o2UwSgDvRrsCJ0OPYRBoZHQB6sRsYNgjO6HTp2TNyffY07fVyzVLVPxOM8QMa3Fya4dKa2SDX39D3qT1hzbdhtlOm2NGholT5TPqZSMozvm9qN85wR3W07ulJNrOblfOTnbRK8erNf9guGP5HcwDVAnoLRWPGD-O_s_tj8BZ7SePQ</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Zamorano-Algandar, Ricardo</creator><creator>Medrano, Juan F.</creator><creator>Thomas, Milton G.</creator><creator>Enns, R. 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Mark</creatorcontrib><creatorcontrib>Speidel, Scott E.</creatorcontrib><creatorcontrib>Sánchez-Castro, Miguel A.</creatorcontrib><creatorcontrib>Luna-Nevárez, Guillermo</creatorcontrib><creatorcontrib>Leyva-Corona, José C.</creatorcontrib><creatorcontrib>Luna-Nevárez, Pablo</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>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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 & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</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>MEDLINE - Academic</collection><jtitle>Tropical animal health and production</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zamorano-Algandar, Ricardo</au><au>Medrano, Juan F.</au><au>Thomas, Milton G.</au><au>Enns, R. Mark</au><au>Speidel, Scott E.</au><au>Sánchez-Castro, Miguel A.</au><au>Luna-Nevárez, Guillermo</au><au>Leyva-Corona, José C.</au><au>Luna-Nevárez, Pablo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of calving season on the parameters and components of the lactation curve in Holstein dairy cows managed in a semi-desert climate</atitle><jtitle>Tropical animal health and production</jtitle><stitle>Trop Anim Health Prod</stitle><addtitle>Trop Anim Health Prod</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>54</volume><issue>2</issue><spage>88</spage><epage>88</epage><pages>88-88</pages><artnum>88</artnum><issn>0049-4747</issn><eissn>1573-7438</eissn><abstract>The lactation curve in dairy cows is influenced by the calving season, which is highly dependent on the warm climate in semi-arid regions. Objective herein was to evaluate effects of calving season on the parameters and components of the lactation curve in Holstein cows. The study included 278,317 milk records collected from 1086 cows from the 1st to 5th calving and good body condition score. The cows were grouped according to the season in which they calved: winter-calved (CS1), summer-calved (CS2), and autumn-calved cows (CS3). Ambient temperature and humidity data were used to calculate the temperature-humidity index (THI). The NLIN procedure was used to estimate the parameters of the lactation curve that served to calculate the components. The mixed procedure was executed to analyze the fixed effect of calving season. Associations between lactation curve traits were tested using correlation and regression analyses. A univariate model was utilized to calculate heritability. Average THI values during the lactation period were 73.5, 68.5, and 69.5 units for CS1, CS2, and CS3 groups, respectively. Initial milk production and increasing rate to the maximum milk yield in CS1 and CS3 groups were higher (
P
< 0.05) than CS2 cows. However, persistency and total milk yield during the entire lactation period were superior (
P
< 0.05) for CS2 and CS3 cows compared to CS1 cows, probably due to the moderate heat stress during the lactation period in the CS1 group. In cows from CS2 and CS3 groups, total milk production at 305 days was moderately correlated with initial milk production (
r
= 0.47;
P
< 0.05), and highly correlated with milk yield at peak day (
r
= 0.91;
P
< 0.05) which resulted as reliable predictor for total milk yield during the entire lactation (
R
2
= 0.83). In conclusion, the THI prevailing during the different calving seasons appeared to be an important factor influencing the performance of the lactation curve.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>35124730</pmid><doi>10.1007/s11250-022-03098-7</doi><tpages>1</tpages></addata></record> |
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subjects | Ambient temperature Animal lactation Animals Arid climates Arid regions Arid zones Biomedical and Life Sciences Cattle Climate Dairy cattle Desert Climate Female Goats Heat stress Heat tolerance Heritability Homesteading Humidity Lactation Life Sciences Milk Milk production Parameters Regression analysis Regression models Regular Articles Seasons Semi arid areas Semiarid lands Veterinary Medicine/Veterinary Science Zoology |
title | Effect of calving season on the parameters and components of the lactation curve in Holstein dairy cows managed in a semi-desert climate |
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