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D Boichard , V Ducrocq and S Fritz 2015. Sustainable dairy cattle selection in the genomic era. Journal of Animal Breeding and Genetics 132, 135–143.
AC Bouwman , JM Hickey , MPL Calus and RF Veerkamp 2014. Imputation of non-genotyped individuals based on genotyped relatives: assessing the imputation accuracy of a real case scenario in dairy cattle. Genetic Selection Evolution 46, 6–17.
RF Brøndum , E Rius-Vilarrasa , I Strandén , G Su , B Guldbrandtsen , WF Fikse and MS Lund 2011. Reliabilities of genomic prediction using combined reference data of the Nordic Reddairy cattle populations. Journal of Dairy Science 94, 4700–4707.
RF Brøndum , G Su , L Janss , G Sahana , B Guldbrandtsen , D Boichard and MS Lund 2015. Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction. Journal of Dairy Science 98, 4107–4116.
MPL Calus , Y de Haas and RF Veerkamp 2013. Combining cow and bull reference populations to increase accuracy of genomic prediction and genome-wide association studies. Journal of Dairy Science 96, 6703–6715.
MPL Calus , Y de Haas , M Pszczola and RF Veerkamp 2012. Predicted accuracy of and response to genomic selection for new traits in dairy cattle. Animal 7, 183–191.
SA Clark , JM Hickey , HD Daetwyler and HJH van der Werf 2012. The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes. Genetics Selection Evolution 44, 4–13.
JB Cole , B Waurich , M Wensch-Dorendorf , DM Bickhart and HH Swalve 2014. A genome-wide association study of calf birth weight in Holstein cattle using single nucleotide polymorphisms and phenotypes predicted from auxiliary traits. Journal of Dairy Science 97, 3156–3172.
HD Daetwyler , KE Kemper , JHJ van der Werf and BJ Hayes 2012. Components of the accuracy of genomic prediction in a multi-breed sheep population. Journal of Animal Science 90, 3375–3384.
R Dassonneville , A Baur , S Fritz , D Boichard and V Ducrocq 2012. Inclusion of cow records in genomic evaluations and impact on bias due to preferential treatment. Genetics Selection Evolution 44, 40–48.
Y de Haas , JJ Windig , MPL Calus , J Dijkstra , M de Haan , A Bannink and RF Veerkamp 2011. Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection. Journal of Dairy Science 94, 6122–6134.
APW de Roos , BJ Hayes , RJ Spelman and ME Goddard 2008. Linkage disequilibrium and persistence of phase in Holstein–Friesian, Jersey and Angus cattle. Genetics 179, 1503–1512.
M de Vries , EAM Bokkers , G van Schaik , B Engel , T Dijkstra and IJM de Boer 2014. Exploring the value of routinely collected herd data for estimating dairy cattle welfare. Journal of Dairy Science 97, 715–730.
C Egger-Danner , H Schwarzenbacher and A Willam 2014. Short communication: genotyping of cows to speed up availability of genomic estimated breeding values for direct health traits in Austrian Fleckvieh (Simmental) cattle-genetic and economic aspects. Journal of Dairy Science 97, 4552–6455.
M Erbe , BJ Hayes , LK Matukumalli , S Goswami , PJ Bowman , CM Reich , B Mason and ME Goddard 2012. Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. Journal of DairyScience 95, 4114–4129.
E Gernand , P Rehbaein , UU von Borstel and S König 2012. Incidences of and genetic parameters for mastitis, claw disorders, and common health traits recorded in dairy cattle contract herds. Journal of Dairy Science 95, 2144–2156.
M Goddard 2009. Genomic selection: prediction of accuracy and maximisation of long term response. Genetica 136, 245–257.
ME Goddard and BJ Hayes 2009. Mapping genes for complex traits in domestic animals and their use in breeding programmes. Nature Reviews Genetics 10, 381–391.
O Gonzalez-Recio , MP Coffey and JE Pryce 2014. On the value of the phenotypes in the genomic era. Journal of Dairy Science 97, 7905–7915.
D Habier , J Tetens , F Seefried , P Lichtner and G Thaller 2010. The impact of genetic relationship information on genomic breeding values in German Holstein cattle. Genetics Selection Evolution 42, 5–17.
M Haile-Mariam , JE Pryce , C Schrooten and BJ Hayes 2015. Including overseas performance information in genomic evaluations of Australian dairy cattle. Journal of Dairy Science 98, 1–17.
BJ Hayes , PJ Bowman , AC Chamberlain , K Verbyla and ME Goddard 2009. Accuracy of genomic breeding values in multi-breed dairy cattle populations. Genetics Selection Evolution 41, 51–60.
JM Hickey , BP Kinghorn , B Tier , JHJ van der Werf and MA Cleveland 2012. A phasing and imputation method for pedigreed populations that results in a single-stage genomic evaluation. Genetics Selection Evolution 44, 9–20.
C Hozé , S Fritz , F Phocas , D Boichard , V Ducrocq and P Croiseau 2014. Efficiency of multi-breed genomic selection for dairy cattle breeds with different sizes of reference population. Journal of Dairy Science 97, 3918–3929.
CM Kariuki , H Komen , AK Kahi and JAM van Arendonk 2014. Optimizing the design of small-sized nucleus breeding programs for dairy cattle with minimal performance recording. Journal of Dairy Science 97, 7963–7974.
S Karoui , MJ Carabaño , C Díaz and A Legarra 2012. Joint genomic evaluation of French dairy cattle breeds using multiple-trait models. Genetics Selection Evolution 44, 39–49.
KE Kemper and ME Goddard 2012. Understanding and predicting complex traits: knowledge from cattle. Human Molecular Genetics 21, R45–R51.
K Kemper , BJ Hayes , HD Daetwyler and ME Goddard 2015. How old are quantitative trait loci and how widely do they segregate? Animal Breeding and Genetics 132, 121–134.
S König and HH Swalve 2009. Application of selection index calculations to determine selection strategies in genomic breeding programs. Journal of Dairy Science 92, 5292–5303.
DAL Lourenco , I Misztal , S Tsuruta , I Aguilar , E Ezra , M Ron , A Shirak and JI Weller 2014a. Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses. Journal of Dairy Science 97, 1742–1752.
DAL Lourenco , I Misztal , S Tsuruta , I Aguilar , TJ Lawlor , S Forni and JI Weller 2014b. Are evaluations on young genotyped animals benefiting from the past generations? Journal of Dairy Science 97, 3930–3942.
MS Lund , APW de Roos , AG de Vries , T Druet , V Ducrocq , S Fritz , F Guillaume , B Guldbrandtsen , ZT Liu , R Reents , C Schrooten , F Seefried and GS Su 2011. A common reference population from four European Holstein populations increases reliability of genomic predictions. Genetics Selection Evolution 43, 43–51.
MS Lund , G Su , L Janss , B Guldbrandtsen and RF Brøndum 2014. Genomic evaluation of cattle in a multi-breed context. Livestock Science 166, 101–110.
IM MacLeod , BJ Hayes and ME Goddard 2014. The effects of demography and long-term selection on the accuracy of genomic prediction with sequence data. Genetics 198, 1671–1684.
AK Nyman , A Lindberg and CH Sandgren 2011. Can pre-collected register data be used to identify dairy herds with good cattle welfare? Acta Vetarinaria Scandinavica 53 (Suppl 1), 8–14.
KM Olson , PM Vanraden and ME Tooker 2012. Multibreed genomic evaluations using purebred Holsteins, Jerseys, and Brown Swiss. Journal of Dairy Science 95, 5378–5383.
KL Parker Gaddis , JB Cole , JS Clay and C Maltecca 2014. Genomic selection for producer-recorded health event data in US dairy cattle. Journal of Dairy Science 97, 3190–3199.
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ECG Pimentel , M Wensch-Dorendorf , S König and HH Swalve 2013. Enlarging a training set for genomic selection by imputation of un-genotyped animals in populations of varying genetic architecture. Genetics Selection Evolution 45, 12–24.
JE Pryce , J Arias , PJ Bowman , SR Davis , KA MacDonald , GC Waghorn , WJ Wales , JY Williams , RJ Spelman and BJ Hayes 2012b. Accuracy of genomic predictions of residual feed intake and 250-day body weight in growing heifers using 625,000 single nucleotide polymorphism markers. Journal of Dairy Science 95, 2108–2119.
M Pszczola , HA Mulder and MPL Calus 2011. Effect of enlarging the reference population with (un)genotyped animals on the accuracy of genomic selection in dairy cattle. Journal of Dairy Science 94, 431–441.
M Pszczola , T Strabel , HA Mulder and MPL Calus 2012. Reliability of direct genomic values for animals with different relationships within and to the reference population. Journal of Dairy Science 95, 5412–5421.
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K Schöpke , A Gomez , KA Dunbar , HH Swalve and D Döpfer 2015. Investigating the genetic background of bovine digital dermatitis using improved definitions of clinical status. Journal of Dairy Science 98, 8164–8174.
R Simeone , I Misztal , I Aguilar and ZG Vitezica 2012. Evaluation of a multi-line broiler chicken population using single-step genomic evaluation procedure. Journal of Animal Breeding and Genetics 129, 3–10.
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HH Swalve , C Floren , M Wensch-Dorendorf , K Schöpke , R Pijl , K Wimmers and B Brenig 2014. A study based on records taken at time of hoof trimming reveals a strong association between the IQ motif-containing GTPase-activating protein 1 (IQGAP1) gene and sole hemorrhage in Holstein cattle. Journal of Dairy Science 97, 507–519.
JR Thomasen , C Egger-Danner , A Willam , B Guldbrandtsen , MS Lund and AC Sørensen 2014a. Genomic selection strategies in a small dairy cattle population evaluated for genetic gain and profit. Journal of Dairy Science 97, 458–470.
JR Thomasen , AC Sørensen , MS Lund and B Guldbrandtsen 2014b. Adding cows to the reference population makes a small dairy cattle population competitive. Journal of Dairy Science 97, 5822–5832.
YCJ Wientjes , RF Veerkamp and MPL Calus 2013. The effect of linkage disequilibrium and family relationships on the reliability of genomic prediction. Genetics 193, 621–631.
GR Wiggans , G Su , TA Cooper , US Nielsen , GP Aamand , B Guldbrandtsen , MS Lund and MP VanRaden 2015. Short communication: improving accuracy of Jersey genomic evaluations in the United States and Denmark by sharing reference population bulls. Journal of Dairy Science 98, 1–6.
L Zhou , X Ding , Q Zhang , Y Wang , MS Lund and G Su 2013. Consistency of linkage disequilibrium between Chinese and Nordic Holsteins and genomic prediction for Chinese Holsteins using a joint reference population. Genetics Selection Evolution 45, 7–14.
L Zhou , B Heringstad , G Su , B Guldbrandtsen , T Meuwissen , M Svendsen , H Grove , US Nielsen and MS Lund 2014. Genomic predictions based on a joint reference population for the Nordic Red cattle breeds. Journal of Dairy Science 97, 4485–4496.
K Schöpke , S Weidling , R Pijl and HH Swalve 2013. Relationships between bovine hoof disorders, body condition traits and test-day yields. Journal of Dairy Science 96, 679–689.