Determination of the effect of the dam age, birth type, and sex on growth curve traits of hair goat kids
This study was conducted to investigate the best-fit growth curve and dam age, sex, and birth type effect on growth curve traits of hair goat kids. Monthly 3858 test day body weight (BW) records of 643 hair goat kids from birth to 150 days of age were used to determine the best-fit growth curve and...
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| Veröffentlicht in: | Tropical animal health and production 2023-12, Vol.55 (6), p.371-371, Article 371 |
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| description | This study was conducted to investigate the best-fit growth curve and dam age, sex, and birth type effect on growth curve traits of hair goat kids. Monthly 3858 test day body weight (BW) records of 643 hair goat kids from birth to 150 days of age were used to determine the best-fit growth curve and estimate growth curve parameters with Gompertz and Von Bertalanffy models. The BW records were assigned to three groups: dam age (3, 4, 5, 6, 7 years), sex (female, male), and birth type (single, twin). The Gompertz model gave more consistent results than the Von Bertalanffy model according to the goodness of fit criteria. Dam age had no significant effect on any of the growth curve traits. Sex of kids showed a significant effect on maturity index (parameter K) (
P
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| doi_str_mv | 10.1007/s11250-023-03785-z |
| format | Article |
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P
< 0.001), estimated mature body weight (parameter A), and weight at point of inflection (IPW) (
P
< 0.01). Also, birth type had a significant effect on initial/birth weight (parameter B) and parameter K (
P
< 0.001). Age at point of inflection (IPT) was not affected by any of the factors. Twin kids had a higher maturity index than singles while females higher than males. In conclusion, the Gompertz model was the most suitable model for hair goat kids for selection strategies. For proper selection, the effect of sex and birth type on growth curve traits should be considered by hair goat breeders.</description><identifier>ISSN: 0049-4747</identifier><identifier>EISSN: 1573-7438</identifier><identifier>DOI: 10.1007/s11250-023-03785-z</identifier><identifier>PMID: 37870635</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Animals ; Biomedical and Life Sciences ; Body Weight ; Dietary Supplements ; Female ; Goats ; Growth factors ; Hair ; Life Sciences ; Male ; Phenotype ; Regular Articles ; Selective breeding ; Veterinary Medicine/Veterinary Science ; Zoology</subject><ispartof>Tropical animal health and production, 2023-12, Vol.55 (6), p.371-371, Article 371</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Nature B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-c500efa46147c59e0645a212751b48b506d89c735060a21fa223e49536fae3f63</cites><orcidid>0000-0002-1821-191X ; 0000-0001-5722-8012 ; 0000-0003-2499-9237</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11250-023-03785-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11250-023-03785-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37870635$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Güler, Serdar</creatorcontrib><creatorcontrib>Çam, Mustafa</creatorcontrib><creatorcontrib>Atik, Ali</creatorcontrib><title>Determination of the effect of the dam age, birth type, and sex on growth curve traits of hair goat kids</title><title>Tropical animal health and production</title><addtitle>Trop Anim Health Prod</addtitle><addtitle>Trop Anim Health Prod</addtitle><description>This study was conducted to investigate the best-fit growth curve and dam age, sex, and birth type effect on growth curve traits of hair goat kids. Monthly 3858 test day body weight (BW) records of 643 hair goat kids from birth to 150 days of age were used to determine the best-fit growth curve and estimate growth curve parameters with Gompertz and Von Bertalanffy models. The BW records were assigned to three groups: dam age (3, 4, 5, 6, 7 years), sex (female, male), and birth type (single, twin). The Gompertz model gave more consistent results than the Von Bertalanffy model according to the goodness of fit criteria. Dam age had no significant effect on any of the growth curve traits. Sex of kids showed a significant effect on maturity index (parameter K) (
P
< 0.001), estimated mature body weight (parameter A), and weight at point of inflection (IPW) (
P
< 0.01). Also, birth type had a significant effect on initial/birth weight (parameter B) and parameter K (
P
< 0.001). Age at point of inflection (IPT) was not affected by any of the factors. Twin kids had a higher maturity index than singles while females higher than males. In conclusion, the Gompertz model was the most suitable model for hair goat kids for selection strategies. 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Çam, Mustafa ; Atik, Ali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-c500efa46147c59e0645a212751b48b506d89c735060a21fa223e49536fae3f63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Animals</topic><topic>Biomedical and Life Sciences</topic><topic>Body Weight</topic><topic>Dietary Supplements</topic><topic>Female</topic><topic>Goats</topic><topic>Growth factors</topic><topic>Hair</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Phenotype</topic><topic>Regular Articles</topic><topic>Selective breeding</topic><topic>Veterinary Medicine/Veterinary Science</topic><topic>Zoology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Güler, Serdar</creatorcontrib><creatorcontrib>Çam, Mustafa</creatorcontrib><creatorcontrib>Atik, Ali</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 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 (ProQuest)</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>Güler, Serdar</au><au>Çam, Mustafa</au><au>Atik, Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determination of the effect of the dam age, birth type, and sex on growth curve traits of hair goat kids</atitle><jtitle>Tropical animal health and production</jtitle><stitle>Trop Anim Health Prod</stitle><addtitle>Trop Anim Health Prod</addtitle><date>2023-12-01</date><risdate>2023</risdate><volume>55</volume><issue>6</issue><spage>371</spage><epage>371</epage><pages>371-371</pages><artnum>371</artnum><issn>0049-4747</issn><eissn>1573-7438</eissn><abstract>This study was conducted to investigate the best-fit growth curve and dam age, sex, and birth type effect on growth curve traits of hair goat kids. Monthly 3858 test day body weight (BW) records of 643 hair goat kids from birth to 150 days of age were used to determine the best-fit growth curve and estimate growth curve parameters with Gompertz and Von Bertalanffy models. The BW records were assigned to three groups: dam age (3, 4, 5, 6, 7 years), sex (female, male), and birth type (single, twin). The Gompertz model gave more consistent results than the Von Bertalanffy model according to the goodness of fit criteria. Dam age had no significant effect on any of the growth curve traits. Sex of kids showed a significant effect on maturity index (parameter K) (
P
< 0.001), estimated mature body weight (parameter A), and weight at point of inflection (IPW) (
P
< 0.01). Also, birth type had a significant effect on initial/birth weight (parameter B) and parameter K (
P
< 0.001). Age at point of inflection (IPT) was not affected by any of the factors. Twin kids had a higher maturity index than singles while females higher than males. In conclusion, the Gompertz model was the most suitable model for hair goat kids for selection strategies. For proper selection, the effect of sex and birth type on growth curve traits should be considered by hair goat breeders.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>37870635</pmid><doi>10.1007/s11250-023-03785-z</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-1821-191X</orcidid><orcidid>https://orcid.org/0000-0001-5722-8012</orcidid><orcidid>https://orcid.org/0000-0003-2499-9237</orcidid></addata></record> |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Animals Biomedical and Life Sciences Body Weight Dietary Supplements Female Goats Growth factors Hair Life Sciences Male Phenotype Regular Articles Selective breeding Veterinary Medicine/Veterinary Science Zoology |
| title | Determination of the effect of the dam age, birth type, and sex on growth curve traits of hair goat kids |
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