{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,28]],"date-time":"2025-12-28T02:28:22Z","timestamp":1766888902179,"version":"3.37.3"},"reference-count":25,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2018,10,17]],"date-time":"2018-10-17T00:00:00Z","timestamp":1539734400000},"content-version":"vor","delay-in-days":16,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Faba co-op"},{"name":"VikingGenetics"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Animal Breeding Genetics"],"published-print":{"date-parts":[[2018,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Changing production circumstances, a wide range of traits and the international bull market enable dairy farmers to make increasingly specific choices concerning artificial insemination (AI) bulls. Finland is part of the joint Nordic dairy cattle breeding programme where in addition to yield, high emphasis is given to health, fertility, conformation and longevity. The aims of our study were (a) to investigate whether Finnish dairy farmers differ in their selection preferences for AI bull traits and can be clustered into herd groups, (b) to determine whether AI bull selection in different herd groups is in line with the Nordic Total Merit index (NTM) and (c) to analyse how the herd groups are related to herd characteristics. We used a statistical cluster analysis to analyse AI bull usage and to group herds according to each herd's bull selection profile determined by the traits\u2019 estimated breeding value (EBV) mean weighted by the number of inseminations for the various traits. We identified four herd groups in both Ayrshire (AY) and Holstein (HOL) breeds: Production, Fertility, All\u2010rounders, and Conformation. The herds\u2019 bull selection profiles were mostly close to the NTM except in the Conformation herd groups where traits other than conformation were nearly neglected. This led to poorer expected genetic and economic outcomes than with the NTM selection. Conformation herds were a minority, but they were larger in herd size and investments had recently been made. The data suggest that either fine\u2010tuning the weights in the NTM, forming alternative indices or developing a herd\u2010specific total merit index (TMI) could fulfil the needs of very diverse herds.<\/jats:p>","DOI":"10.1111\/jbg.12359","type":"journal-article","created":{"date-parts":[[2018,10,18]],"date-time":"2018-10-18T06:40:34Z","timestamp":1539844834000},"page":"410-419","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Variation in the actual preferences for AI bull traits among Finnish dairy herds"],"prefix":"10.1111","volume":"135","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7970-1392","authenticated-orcid":false,"given":"Elina","family":"Paakala","sequence":"first","affiliation":[{"name":"Department of Agricultural Sciences University of Helsinki  Helsinki Finland"},{"name":"Faba co\u2010op Vantaa Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2087-961X","authenticated-orcid":false,"given":"Daniel","family":"Mart\u00edn\u2010Collado","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n y Tecnolog\u00eda Agroalimentaria de Arag\u00f3n Zaragoza Spain"},{"name":"Instituto Agroalimentario de Arag\u00f3n \u2010IA2\u2010(CITA\u2010Universidad de Zaragoza)  Zaragoza Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7995-738X","authenticated-orcid":false,"given":"Asko","family":"M\u00e4ki\u2010Tanila","sequence":"additional","affiliation":[{"name":"Department of Agricultural Sciences University of Helsinki  Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7207-1057","authenticated-orcid":false,"given":"Jarmo","family":"Juga","sequence":"additional","affiliation":[{"name":"Department of Agricultural Sciences University of Helsinki  Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,10,17]]},"reference":[{"unstructured":"Ahlstedt J. Jansik C. Knuuttila M. Koikkalainen K. Koivisto A. Latukka A. \u2026Wuori O.(2015).Finnish agriculture and rural industries 2015. Retrieved fromhttps:\/\/jukuri.luke.fi\/handle\/10024\/519301","key":"e_1_2_8_2_1"},{"key":"e_1_2_8_3_1","first-page":"4498","article-title":"Technical note: An approach to derive breeding goals from the preferences of decision makers","volume":"94","author":"Alfonso L.","year":"2016","journal-title":"Journal of Dairy Science"},{"unstructured":"Animal Health ETT(2016).Naudan sperman tuonti 1995\u20132014. Retrieved fromhttps:\/\/www.ett.fi\/sisalto\/naudan-sperman-tuonti-1995-2014","key":"e_1_2_8_4_1"},{"doi-asserted-by":"publisher","key":"e_1_2_8_5_1","DOI":"10.1007\/978-3-319-24753-3"},{"doi-asserted-by":"publisher","key":"e_1_2_8_6_1","DOI":"10.3168\/jds.2015-10747"},{"key":"e_1_2_8_7_1","first-page":"80","article-title":"Youngstock survival in Nordic cattle genetic evaluation","volume":"50","author":"Carl\u00e9n E.","year":"2016","journal-title":"Interbull Bulletin"},{"doi-asserted-by":"publisher","key":"e_1_2_8_8_1","DOI":"10.1007\/978-981-10-6808-9"},{"unstructured":"ICAR(2017).Milk recording surveys on cow sheep and goats. Retrieved fromhttps:\/\/www.icar.org\/survey\/pages\/tables.php","key":"e_1_2_8_9_1"},{"unstructured":"Kallinen A. Pirttij\u00e4rvi R. Saarnivaara P. &Heikkil\u00e4 E.(2016).Maatilojen kehitysn\u00e4kym\u00e4t 2022. Retrieved fromhttps:\/\/docplayer.fi\/37602439-Maatilojen-kehitysnakymat-2022.html","key":"e_1_2_8_10_1"},{"doi-asserted-by":"publisher","key":"e_1_2_8_11_1","DOI":"10.3168\/jds.2013-7694"},{"unstructured":"Luke(2017).Luonnonvarakeskus. Taloustohtori. Maatalouden ra\u2010kennekehitysennuste. Retrieved fromhttps:\/\/portal.mtt.fi\/portal\/page\/portal\/taloustohtori\/rakennekehitysennuste\/aikasarja\/tuotantosuunnat","key":"e_1_2_8_12_1"},{"unstructured":"MacQueen J.(1967).Some methods for classification and analysis of multivariate observations.281\u2013297in Proc. Fifth Berkeley Symp. on Math. Statist. and Prob. University of California Press.","key":"e_1_2_8_13_1"},{"doi-asserted-by":"publisher","key":"e_1_2_8_14_1","DOI":"10.3168\/jds.2014-9194"},{"doi-asserted-by":"publisher","key":"e_1_2_8_15_1","DOI":"10.1561\/1700000036"},{"doi-asserted-by":"publisher","key":"e_1_2_8_16_1","DOI":"10.1017\/S1751731107000729"},{"doi-asserted-by":"publisher","key":"e_1_2_8_17_1","DOI":"10.1080\/09064702.2013.827237"},{"doi-asserted-by":"publisher","key":"e_1_2_8_18_1","DOI":"10.3168\/jds.S0022-0302(05)72864-2"},{"unstructured":"Nordic Cattle Genetic Evaluation(2016).NTM \u2010 weight factors. Retrieved fromhttps:\/\/www.nordicebv.info\/wp-content\/uploads\/2016\/05\/NTM-%E2%80%93-weight-factors_02052016.pdf","key":"e_1_2_8_19_1"},{"unstructured":"Nordic Cattle Genetic Evaluation(2016).NAV routine genetic evaluation of dairy cattle \u2010 data and genetic models. Retrieved fromhttps:\/\/www.nordicebv.info\/wp-content\/uploads\/2015\/04\/General-description_from-old-homepage_06052015.pdf","key":"e_1_2_8_20_1"},{"volume-title":"R: A language and environment for statistical computing","year":"2016","author":"R Core Team","key":"e_1_2_8_21_1"},{"doi-asserted-by":"publisher","key":"e_1_2_8_22_1","DOI":"10.3168\/jds.2016-11346"},{"doi-asserted-by":"publisher","key":"e_1_2_8_23_1","DOI":"10.2307\/3001913"},{"unstructured":"VikingGenetics(2016a).About Holstein. Retrieved fromhttps:\/\/www.vikinggenetics.com\/breeds\/vikingholstein","key":"e_1_2_8_24_1"},{"unstructured":"VikingGenetics(2016b).About VikingRed. Retrieved fromhttps:\/\/www.vikinggenetics.com\/breeds\/vikingred","key":"e_1_2_8_25_1"},{"unstructured":"vit IT\u2010Solutions for Animal Production(2016).Robot\u2010index RZRobot. Retrieved fromhttps:\/\/www.vit.de\/index.php?xml:id=milchrinder-zws-online&no_cache=1&L=1","key":"e_1_2_8_26_1"}],"container-title":["Journal of Animal Breeding and Genetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fjbg.12359","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/jbg.12359","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T05:17:00Z","timestamp":1694927820000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/jbg.12359"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":25,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2018,10]]}},"alternative-id":["10.1111\/jbg.12359"],"URL":"https:\/\/doi.org\/10.1111\/jbg.12359","archive":["Portico"],"relation":{},"ISSN":["0931-2668","1439-0388"],"issn-type":[{"type":"print","value":"0931-2668"},{"type":"electronic","value":"1439-0388"}],"subject":[],"published":{"date-parts":[[2018,10]]},"assertion":[{"value":"2018-01-17","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-09-07","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}