Breeding the dairy cow of the future: what do we need?
Donagh P. BerryAnimal and Bioscience Research Department, Animal and Grassland Research and Innovation Centre,Teagasc, Moorepark, Fermoy, Co. Cork, Ireland. Email: donagh.berry@teagasc.ie
Animal Production Science 55(7) 823-837 https://doi.org/10.1071/AN14835
Submitted: 26 September 2014 Accepted: 7 January 2015 Published: 9 June 2015
Abstract
Genetics is responsible for approximately half the observed changes in animal performance in well structured breeding programs. Key characteristics of the dairy cow of the future include (1) production of a large quantity of high-value output (i.e. milk and meat), (2) good reproductive performance, (3) good health status, (4) good longevity, (5) no requirement for a large quantity of feed, yet being able to eat sufficient feed to meet its requirements, (6) easy to manage (i.e. easy calving, docile), (7) good conformation (over and above reflective of health, reproductive performance and longevity), (8) low environmental footprint, and (9) resilience to external perturbations. Pertinent and balanced breeding goals must be developed and implemented to achieve this type of animal; excluding any characteristic from the breeding goal could be detrimental for genetic gain in this characteristic. Attributes currently not explicitly considered in most dairy-cow breeding objectives include product quality, feed intake and efficiency, and environmental footprint; animal health is poorly represented in most breeding objectives. Lessons from the past deterioration in reproductive performance in the global Holstein population remind us of the consequences of ignoring or failing to monitor certain animal characteristics. More importantly, however, current knowledge clearly demonstrates that once unfavourable trends have been identified and the appropriate breeding strategy implemented, the reversal of genetic trends is achievable, even for low-heritability traits such as reproductive performance. Genetic variation exists in all the characteristics described. In the genomics era, the relevance of heritability statistics for most traits is less; the exception is traits not amenable to routine measurement in large populations. Phenotyping strategies (e.g. more detailed phenotypes, larger population) will remain a key component of an animal breeding strategy to achieve the cow of the future as well as providing the necessary tools and information to monitor performance. The inclusion of genomic information in genetic evaluations is, and will continue, to improve the accuracy of genetic evaluations, which, in turn, will augment genetic gain; genomics, however, can also contribute to gains in performance over and above support of increased genetic gain. Nonetheless, the faster genetic gain and thus reduced ability to purge out unfavourable alleles necessitates the appropriate breeding goal and breeding scheme and very close monitoring of performance, in particular for traits not included in the breeding goals. Developments in other disciplines (e.g. reproductive technologies), coupled with commercial struggle for increased market share of the breeding industry, imply a possible change in the landscape of dairy-cow breeding in the future.
Additional keywords: breeding objective, genetics, genomic, heritability.
References
Beam SW, Butler WR (1999) Effects of energy balance on follicular development and first ovulation in postpartum dairy cows. Journal of Reproduction and Fertility. Supplement 54, 411–424.Bell MJ, Eckard RJ, Haile-Mariam M, Pryce JE (2013) The effect of changing cow production and fitness traits on net income and greenhouse gas emissions from Australian dairy systems. Journal of Dairy Science 96, 7918–7931.
| The effect of changing cow production and fitness traits on net income and greenhouse gas emissions from Australian dairy systems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhs1CqsbfI&md5=62e159900fd1c83a8433ec0224dfb7aeCAS | 24140333PubMed |
Berry DP, Crowley JJ (2013) Genetics of feed efficiency in dairy and beef cattle. Journal of Animal Science 91, 1594–1613.
| Genetics of feed efficiency in dairy and beef cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXntFWrtLk%3D&md5=23c9223cde9541c135e66b15e13cdbacCAS | 23345557PubMed |
Berry DP, Meaney WJ (2005) Cow factors affecting the risk of clinical mastitis. Irish Journal of Agricultural and Food Research 44, 147–156.
Berry DP, Harris BL, Winkelman AM, Montgomerie W (2005) Phenotypic associations between traits other than production and longevity in New Zealand dairy cattle. Journal of Dairy Science 88, 2962–2974.
| Phenotypic associations between traits other than production and longevity in New Zealand dairy cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXmsFejsbc%3D&md5=13259d161318f2b91a3444668cd07e0cCAS | 16027210PubMed |
Berry DP, Lee JM, Macdonald KA, Roche JR (2007a) Body condition score and body weight effects on dystocia and stillbirths and consequent effects on postcalving performance. Journal of Dairy Science 90, 4201–4211.
| Body condition score and body weight effects on dystocia and stillbirths and consequent effects on postcalving performance.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXpslequ70%3D&md5=e20be7c55ac1f442d1c7a3cc5dde9836CAS | 17699038PubMed |
Berry DP, Horan B, O’Donovan M, Buckley F, Kennedy E, McEvoy M, Dillon PG (2007b) Genetics of grass dry matter intake, energy balance, and digestibility in grazing Irish dairy cows. Journal of Dairy Science 90, 4835–4845.
| Genetics of grass dry matter intake, energy balance, and digestibility in grazing Irish dairy cows.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhtFWlsrfJ&md5=a804a41b868944e20ed790fb0ff7b898CAS | 17881707PubMed |
Berry DP, Bermingham M, Good M, More SJ (2011a) Genetics of animal health and disease in cattle. Irish Veterinary Journal 64, 5
| Genetics of animal health and disease in cattle.Crossref | GoogleScholarGoogle Scholar | 21777492PubMed |
Berry DP, Kearney JF, Roche JR (2011b) Evidence of genetic and maternal effects on secondary sex ratio in cattle. Theriogenology 75, 1039–1044.
| Evidence of genetic and maternal effects on secondary sex ratio in cattle.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3M3jtF2itQ%3D%3D&md5=46bd4ce39cd113502e93da85dcd19d71CAS | 21196030PubMed |
Berry DP, Coughlan B, Enright B, Coughlan S, Burke M (2013) Factors associated with milking characteristics in dairy cows Journal of Dairy Science 96, 5943–5953.
| Factors associated with milking characteristics in dairy cowsCrossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhtVehtbzN&md5=718d9a4ceca49e9cc110bcca602413fbCAS | 23810601PubMed |
Berry DP, Coffey MP, Pryce JE, de Haas Y, Lovendahl P, Krattenmacher N, Crowley JJ, Wang Z, Spurlock D, Weigel K, MacDonald K, Veerkamp R (2014a) International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources. Journal of Dairy Science 97, 3894–3905.
| International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXmtFagsr0%3D&md5=9ab84a2752bf2373a567f71be7875c1dCAS | 24731627PubMed |
Berry DP, Wall E, Pryce JE (2014b) Genetics and genomics of reproductive performances in dairy and beef cattle. Animal 8, 105–121.
| Genetics and genomics of reproductive performances in dairy and beef cattle.Crossref | GoogleScholarGoogle Scholar | 24703258PubMed |
Cabrera VE (2014) Economics of fertility in high-yielding dairy cows on confined TMR systems. Animal 8, 211–221.
| Economics of fertility in high-yielding dairy cows on confined TMR systems.Crossref | GoogleScholarGoogle Scholar | 24679357PubMed |
Calus MPL (2010) Genomic breeding value prediction: methods and procedures. Animal 4, 157–164.
| Genomic breeding value prediction: methods and procedures.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhs1Sls7zJ&md5=7b4e5af8b30736d00ccb622c6034854eCAS |
Carthy TR, Berry DP, Fitzgerald A, McParland S, Williams EJ, Butler S, Cromie AR, Ryan D (2014) Risk factors associated with detailed reproductive phenotypes in dairy and beef cows. Animal 8, 695–703.
| Risk factors associated with detailed reproductive phenotypes in dairy and beef cows.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC2cnktlyitQ%3D%3D&md5=4345d5a8426be2425a42abe8b7b5dd46CAS | 24739348PubMed |
Chilliard Y, Ferlay A, Doreau M (2001) Effect of different types of forages, animal fat or marine oils in cow’s diet on milk fat secretion and composition, especially conjugated linoleic acid (CLA) and polyunsaturated fatty acids. Livestock Production Science 70, 31–48.
| Effect of different types of forages, animal fat or marine oils in cow’s diet on milk fat secretion and composition, especially conjugated linoleic acid (CLA) and polyunsaturated fatty acids.Crossref | GoogleScholarGoogle Scholar |
Coleman J, Berry DP, Pierce KM, Brennan A, Horan B (2010) Dry matter intake and feed efficiency profiles of 3 genotypes of Holstein-Friesian within pasture-based systems of milk production. Journal of Dairy Science 93, 4318–4331.
| Dry matter intake and feed efficiency profiles of 3 genotypes of Holstein-Friesian within pasture-based systems of milk production.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhtlCqtrfO&md5=026b2b02c9fe7611cbc6c130b4093964CAS | 20723705PubMed |
Collard BL, Dekkers JCM, Petitclerc D, Schaeffer LR (2000) Relationships between energy balance and health traits of dairy cattle in early lactation. Journal of Dairy Science 83, 2683–2690.
| Relationships between energy balance and health traits of dairy cattle in early lactation.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXosVCksb8%3D&md5=2131ff6be59f184bed188349dcd433a4CAS | 11104289PubMed |
Daetwyler HD, Villanueva B, Woolliams JA (2008) Accuracy of predicting the genetic risk of disease using a genome-wide approach. PLoS ONE 3, e3395
| Accuracy of predicting the genetic risk of disease using a genome-wide approach.Crossref | GoogleScholarGoogle Scholar | 18852893PubMed |
de Graaf T, Dwinger RH (1996) Estimation of milk production losses due to sub-clinical mastitis in dairy cattle in Costa Rica. Preventive Veterinary Medicine 26, 215–222.
| Estimation of milk production losses due to sub-clinical mastitis in dairy cattle in Costa Rica.Crossref | GoogleScholarGoogle Scholar |
Dehareng F, Delfosse C, Froidmont E, Soyeurt H, Martin C, Gengler N, Vanlierde A, Dardenne P (2012) Potential use of milk mid-infrared spectra to predict individual methane emission of dairy cows Animal 6, 1694–1701.
| Potential use of milk mid-infrared spectra to predict individual methane emission of dairy cowsCrossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xht1Gis7zP&md5=3b054d28549d3edd1d4519cbc9170320CAS | 23031566PubMed |
Dekkers JCM, Hospital F (2002) The use of molecular genetics in the improvement of agricultural populations. Nature Reviews. Genetics 3, 22–32.
| The use of molecular genetics in the improvement of agricultural populations.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XhsV2gsbw%3D&md5=4eee91d668945697062e62f0d2d1c274CAS |
Dillon PG, Berry DP, Evans RD, Buckley F, Horan B (2006) Consequences of genetic selection for increased milk production in European seasonal pasture based systems of milk production. Livestock Production Science 99, 141–158.
| Consequences of genetic selection for increased milk production in European seasonal pasture based systems of milk production.Crossref | GoogleScholarGoogle Scholar |
Dohoo IR, Martin SW (1984) Subclinical ketosis: prevalence and associations with production and disease. Canadian Journal of Comparative Medicine 48, 1–5.
Evans RD, Dillon PG, Buckley F, Berry DP, Wallace M, Ducrocq V, Garrick DJ (2006) Trends in milk production, calving rate and survival of cows in 14 Irish dairy herds as a result of the introgression of Holstein-Friesian genes. Animal Science 82, 423–433.
| Trends in milk production, calving rate and survival of cows in 14 Irish dairy herds as a result of the introgression of Holstein-Friesian genes.Crossref | GoogleScholarGoogle Scholar |
Falconer DS, Mackay TFC (1996) ‘Introduction to quantitative genetics.’ 4th edn. (Longman: Essex, UK)
Gibson JP, Kennedy BW (1990) The use of constrained selection indexes in breeding for economic merit. Theoretical and Applied Genetics 80, 801–805.
| The use of constrained selection indexes in breeding for economic merit.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC2c7lvVCrtg%3D%3D&md5=97c7aad458f7a615bf2186aadc596316CAS | 24221112PubMed |
Godden SM, Lissemore KD, Kelton DF, Lumsden JH, Leslie KE, Walton JS (2000) Analytic validation of an infrared milk urea assay and effects of sample acquisition factors on milk urea results. Journal of Dairy Science 83, 435–442.
| Analytic validation of an infrared milk urea assay and effects of sample acquisition factors on milk urea results.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXit1yms7s%3D&md5=be1a56460ba1765f4e796d23c1df6489CAS | 10750099PubMed |
Gonzalez-Recio O, Pryce JE, Haile-Mariam M, Hayes BJ (2014) Incorporating heifer feed efficiency in the Australian selection index using genomic selection. Journal of Dairy Science 97, 3883–3893.
| Incorporating heifer feed efficiency in the Australian selection index using genomic selection.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXltFCiu70%3D&md5=4acf5b4dd24f4153ae3480c29eb946e9CAS | 24679937PubMed |
Grummer RR (1991) Effect on feed on the composition of milk fat. Journal of Dairy Science 74, 3244–3257.
| Effect on feed on the composition of milk fat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK3MXmsFCkurc%3D&md5=a327da82c544c978d38cb77ae8d33337CAS | 1779073PubMed |
Habier D, Fernando R, Dekkers JCM (2007) The impact of genetic relationship information on genome-assisted breeding values. Genetics 177, 2389–2397.
Hansen P, Ombler F (2009) A new method for scoring additive multi-attribute value models using pairwise rankings of alternatives. Journal of Multi-Criteria Decision Analysis 15, 87–107.
| A new method for scoring additive multi-attribute value models using pairwise rankings of alternatives.Crossref | GoogleScholarGoogle Scholar |
Hayes BJ, Bowman PJ, Chamberlain AJ, Goddard ME (2009) Invited review: genomic selection in dairy cattle. Progress and challenges. Journal of Dairy Science 92, 433–443.
| Invited review: genomic selection in dairy cattle. Progress and challenges.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXit1Kju7s%3D&md5=f160af6fc7521f02700df798a76e477eCAS | 19164653PubMed |
Henchion M, McCarthy M, Resconi V, Berry DP, McParland S (2015) Stakeholder involvement in establishing dairy cow breeding goals; a Delphi approach. Animal in press.
Hill WG (2010) Understanding and using quantitative genetic variation. Philosophical Transactions of the Royal Society of London. Series B. Biological Sciences 365, 73–85.
| Understanding and using quantitative genetic variation.Crossref | GoogleScholarGoogle Scholar |
Horan B, Dillon PG, Berry DP, O’Connor P, Rath M (2005) The effect of strain of Holstein-Friesian, feeding system and parity on lactation curves characteristics of spring-calving dairy cows. Livestock Production Science 95, 231–241.
| The effect of strain of Holstein-Friesian, feeding system and parity on lactation curves characteristics of spring-calving dairy cows.Crossref | GoogleScholarGoogle Scholar |
Humblot P, Le Bourhis D, Fritz S, Colleau JJ, Gonzalez C, Joly CG, Malafosse A, Heyman Y, Amigues Y, Tissier M, Ponsart C (2010) Reproductive technologies and genomic selection in cattle. Veterinary Medicine International 2010, 192787
| Reproductive technologies and genomic selection in cattle.Crossref | GoogleScholarGoogle Scholar | 20981298PubMed |
Johnson KA, Johnson DE (1995) Methane emissions from cattle. Journal of Animal Science 73, 2483–2492.
Kennedy BW, van der Werf JHJ, Meuwissen THE (1993) Genetic and statistical properties of residual feed intake. Journal of Animal Science 71, 3239–3250.
Larroque H, Ducrocq V (2001) Relationships between type and longevity in the Holstein breed. Genetics, Selection, Evolution. 33, 39–59.
| Relationships between type and longevity in the Holstein breed.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3MvjsVKnuw%3D%3D&md5=802660c51c0b231dd9aefc51d8a4229cCAS | 11268313PubMed |
Lopez-Villalobos N, Garrick DJ, Blair HT, Holmes CW (2000) Possible effects of 25 years of selection and crossbreeding on the genetic merit and productivity of New Zealand dairy cattle. Journal of Dairy Science 83, 154–163.
| Possible effects of 25 years of selection and crossbreeding on the genetic merit and productivity of New Zealand dairy cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXotVOmtw%3D%3D&md5=f68acdf74eea6a265e960fe35fee9704CAS | 10659975PubMed |
Macdonald KA, Pryce JE, Spelman RJ, Davis SR, Wales WJ, Waghorn GC, Williams YJ, Marett LC, Hayes BJ (2014) Holstein-Friesian calves selected for divergence in residual feed intake during growth exhibited significant but reduced residual feed intake divergence in their first lactation. Journal of Dairy Science 97, 1427–1435.
| Holstein-Friesian calves selected for divergence in residual feed intake during growth exhibited significant but reduced residual feed intake divergence in their first lactation.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXisV2nsw%3D%3D&md5=a8eb7a63861545413ab4fca2d55d4e01CAS | 24377796PubMed |
Mc Hugh N, Fahey AG, Evans RD, Berry DP (2010) Factors associated with selling price of cattle at livestock marts. Animal 4, 1378–1389.
| Factors associated with selling price of cattle at livestock marts.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC38vptF2hug%3D%3D&md5=71acb37b65a3967bb3ae0ffddc3496ecCAS | 22444658PubMed |
Mc Parland S, Kearney JF, Rath M, Berry DP (2007) Inbreeding effects on milk production, calving performance, fertility, and conformation in Irish Holstein-Friesians. Journal of Dairy Science 90, 4411–4419.
| Inbreeding effects on milk production, calving performance, fertility, and conformation in Irish Holstein-Friesians.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXpslCjs7g%3D&md5=fc0d9104efd271084c90de6ef495a6baCAS | 17699061PubMed |
McParland S, Banos G, Wall E, Coffey MP, Soyeurt H, Veerkamp RF, Berry DP (2011) The use of mid-infrared spectrometry to predict body energy status of Holstein cows. Journal of Dairy Science 94, 3651–3661.
| The use of mid-infrared spectrometry to predict body energy status of Holstein cows.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXnvFahtr4%3D&md5=12e962ad755a0f8573a6a6c7911831bdCAS | 21700055PubMed |
McParland S, Lewis E, Kennedy E, Moore SG, McCarthy B, O’Donovan M, Butler ST, Pryce JE, Berry DP (2014) Mid-infrared spectrometry of milk as a predictor of energy intake and efficiency in lactating dairy cows. Journal of Dairy Science 97, 5863–5871.
| Mid-infrared spectrometry of milk as a predictor of energy intake and efficiency in lactating dairy cows.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhtFShu73N&md5=77a12afcd2e9fecb393f59ed4665425fCAS | 24997658PubMed |
Mee JF, Berry DP, Cromie AR (2008) Prevalence of, and risk factors associated with, perinatal calf mortality in pasture-based Holstein-Friesian cows. Animal 2, 613–620.
| Prevalence of, and risk factors associated with, perinatal calf mortality in pasture-based Holstein-Friesian cows.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC38vptVyltQ%3D%3D&md5=33b5867e336bda8fa966ca7c6f82adc4CAS | 22443578PubMed |
Mee JF, Berry DP, Cromie AR (2011) Risk factors for calving assistance and dystocia in pasture-based Holstein-Friesian heifers and cows in Ireland. Veterinary Journal (London, England) 187, 189–194.
| Risk factors for calving assistance and dystocia in pasture-based Holstein-Friesian heifers and cows in Ireland.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3M7pvFSisA%3D%3D&md5=40d7b64781016336e8f0c198216afb4aCAS |
Meuwissen THE, Hayes BJ, Goddard ME (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157, 1819–1829.
Miglior F, Muir BL, Van Doormaal BJ (2005) Selection indices in Holstein cattle of various countries. Journal of Dairy Science 88, 1255–1263.
| Selection indices in Holstein cattle of various countries.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXitFygurY%3D&md5=a4904e14dcc495b544e4fe7f5381e72aCAS | 15738259PubMed |
Miglior F, Sewalem A, Jamrozik J, Bohmanova J, Lefebvre DM, Moore RK (2007) Genetic analysis of milk urea nitrogen and lactose and their relationships with other production traits in Canadian Holstein cattle. Journal of Dairy Science 90, 2468–2479.
| Genetic analysis of milk urea nitrogen and lactose and their relationships with other production traits in Canadian Holstein cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXkvVSltr8%3D&md5=608953507c179a96955e2aec64054cd6CAS | 17430951PubMed |
Nielsen HM, Christensen LG, Groen AF (2005) Derivation of sustainable breeding goals for dairy cattle using selection index theory. Journal of Dairy Science 88, 1882–1890.
| Derivation of sustainable breeding goals for dairy cattle using selection index theory.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXjslSmsLk%3D&md5=cc347164d29d168e555df82998c71a6bCAS | 15829683PubMed |
Nieuwhof GJ, van Arendonk JAM, Vos H, Korver S (1992) Genetic relationships between feed intake, efficiency and production traits in growing bulls, growing heifers and lactating heifers. Livestock Production Science 32, 189–202.
| Genetic relationships between feed intake, efficiency and production traits in growing bulls, growing heifers and lactating heifers.Crossref | GoogleScholarGoogle Scholar |
O’Mara FP (2011) The significance of livestock as a contributor to global greenhouse gas emissions today and the near future. Animal Feed Science and Technology 166–167, 7–15.
| The significance of livestock as a contributor to global greenhouse gas emissions today and the near future.Crossref | GoogleScholarGoogle Scholar |
Ødegård J, Baranski M, Gjerde B, Gjedrem T (2011) Methodology for genetic evaluation of disease resistance in aquaculture species: challenges and future prospects. Aquaculture and Research 42, 103–114.
| Methodology for genetic evaluation of disease resistance in aquaculture species: challenges and future prospects.Crossref | GoogleScholarGoogle Scholar |
Pryce JE, Hayes BJ, Goddard ME (2012) Novel strategies to minimize progeny inbreeding while maximizing genetic gain using genomic information. Journal of Dairy Science 95, 377–388.
| Novel strategies to minimize progeny inbreeding while maximizing genetic gain using genomic information.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhs1OlsrnL&md5=94dfca05a992ed7d67d42941313ba9b1CAS | 22192217PubMed |
Pryce JE, Johnston J, Hayes BJ, Sahana G, Weigel KA, McParland S, Spurlock D, Krattenmacher N, Spelman RJ, Wall E, Calus MPL (2014) Imputation of genotypes from low density (50 000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America, and Australasia using 2 reference populations. Journal of Dairy Science 97, 1799–1811.
| Imputation of genotypes from low density (50 000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America, and Australasia using 2 reference populations.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhsVyltrY%3D&md5=c715c638826cea92ba209f255dd43bd5CAS | 24472132PubMed |
Pszczola M, Strabel T, Mulder HA, Calus MPL (2012) Reliability of direct genomic values for animals with different relationships within and to the reference population. Journal of Dairy Science 95, 389–400.
| Reliability of direct genomic values for animals with different relationships within and to the reference population.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhs1OlsrnE&md5=6f77e424b1ecd513f6cbb45abf348567CAS | 22192218PubMed |
Rendel J, Robertson A (1950) Estimation of genetic gain in milk yield by selection in a closed herd of dairy cattle. Journal of Genetics 50, 1–8.
| Estimation of genetic gain in milk yield by selection in a closed herd of dairy cattle.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaG3M%2FpvVWjtQ%3D%3D&md5=7713ec0309fe07f9f3d1b1600e237300CAS | 24538919PubMed |
Roche JR, Berry DP (2006) Periparturient climatic, animal and management factors influencing the incidence of milk fever in grazing Systems. Journal of Dairy Science 89, 2775–2783.
| Periparturient climatic, animal and management factors influencing the incidence of milk fever in grazing Systems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XmsVOltbc%3D&md5=0528ebfc9c59e036ee9c5ae3d878db69CAS | 16772597PubMed |
Royal MD, Darwash AO, Flint APF, Webb R, Woolliams JA, Lamming GE (2000) Declining fertility in dairy cattle: changes in traditional and endocrine parameters of fertility. Animal Science 70, 487–501.
Schopen GCB, Heck JML, Bovenhuis H, Visker MHPW, van Valenberg HJF, van Arendonk JAM (2009) Genetic parameters for major milk proteins in Dutch Holstein-Friesians. Journal of Dairy Science 92, 1182–1191.
| Genetic parameters for major milk proteins in Dutch Holstein-Friesians.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXivVaktbc%3D&md5=1718b3c8e992acaad1cc393ae62f7d2fCAS |
Shalloo L, Dillon P, Rath M, Wallace M (2004) Description and validation of the Moorepark Dairy Systems Model (MDSM). Journal of Dairy Science 87, 1945–1959.
| Description and validation of the Moorepark Dairy Systems Model (MDSM).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXltlGntr8%3D&md5=e12c10249dff268fa19b1844b6443b47CAS | 15453512PubMed |
Shalloo L, Cromie A, McHugh N (2014) Effect of fertility on the economics of pasture-based dairy systems. Animal 8, 222–231.
| Effect of fertility on the economics of pasture-based dairy systems.Crossref | GoogleScholarGoogle Scholar | 24679449PubMed |
Smith LA, Cassell BG, Pearson RE (1998) The effects of inbreeding on lifetime performance of dairy cattle. Journal of Dairy Science 81, 2729–2737.
| The effects of inbreeding on lifetime performance of dairy cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1cXnt1Sms7Y%3D&md5=8c7da1f675ae20170fc74206b0b26e8fCAS | 9812278PubMed |
Soyeurt H, Gillon A, Vanderick S, Mayeres P, Bertozzi C, Gengler N (2007) Estimation of heritability and genetic correlations for the major fatty acids in bovine milk. Journal of Dairy Science 90, 4435–4442.
| Estimation of heritability and genetic correlations for the major fatty acids in bovine milk.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXpslCjs7c%3D&md5=2cd2e1fff9ba4eecb34a20e9616ed7f2CAS | 17699064PubMed |
Soyeurt H, Dehareng F, Gengler N, McParland S, Wall E, Berry DP, Coffey M, Dardenne P (2011) Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries. Journal of Dairy Science 94, 1657–1667.
| Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXnvFChtro%3D&md5=a39bd079a5947d3daeaed20f0ad41663CAS | 21426953PubMed |
Soyeurt H, Bastin C, Colinet FG, Arnould VM-R, Berry DP, Wall E, Dehareng F, Nguyen HA, Dardenne P, Schefers J, Vandenplas J, Weigel K, Coffey MP, Theron L, Detilleux J, Reding E, Gengler N, McParland S (2012) Mid-infrared prediction of lactoferrin content in bovine milk: potential indicator of mastitis. Animal 6, 1830–1838.
| Mid-infrared prediction of lactoferrin content in bovine milk: potential indicator of mastitis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhsVKltL3F&md5=dad3169f16cd39e100325684ad7e278eCAS | 22717388PubMed |
Spelman RJ, Hayes BJ, Berry DP (2013) Use of molecular technologies for the advancement of animal breeding: genomic selection in dairy cattle populations in Australia, Ireland and New Zealand. Animal Production Science 53, 869–875.
| Use of molecular technologies for the advancement of animal breeding: genomic selection in dairy cattle populations in Australia, Ireland and New Zealand.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXht1artrnF&md5=e53089b1c849b001b5d2f348c5b2a4d3CAS |
Sturaro E, Marchiori E, Penasa M, Ramanzin M, Bittante G (2013) Dairy systems in mountain areas in terms of farm animal biodiversity, milk production and destination and land use and landscape preservation. Livestock Science 158, 157–168.
| Dairy systems in mountain areas in terms of farm animal biodiversity, milk production and destination and land use and landscape preservation.Crossref | GoogleScholarGoogle Scholar |
Su G, Christensen OF, Ostersen T, Henryon M, Lund MS (2012) Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers. PLoS ONE 7, e45293
| Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhsVSjt7%2FF&md5=965deb2f05b1796c866147fa4c9aad79CAS | 23028912PubMed |
Sun C, VanRaden PM, O’Connell JR, Weigel KA, Gianola D (2013) Mating programs including genomic relationships and dominance effects. Journal of Dairy Science 96, 8014–8023.
| Mating programs including genomic relationships and dominance effects.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhs1Wiu7zE&md5=9cb2c44b20e19be77c395e35331a2694CAS | 24119810PubMed |
USDA–NASS (2011) ‘Agricultural resource management survey.’ Available at http://www.ers.usda.gov/data/costsamdreturns/testpick.htm#milkproduction [Verified 22 February 2012]
van der Werf JHJ, van der Waaij LH, Groen AF, de Jong G (1998) An index for beef and veal characteristics in dairy cattle based on carcass traits. Livestock Production Science 54, 11–20.
| An index for beef and veal characteristics in dairy cattle based on carcass traits.Crossref | GoogleScholarGoogle Scholar |
VanRaden PM (2008) Efficient methods to compute genomic predictions. Journal of Dairy Science 91, 4414–4423.
| Efficient methods to compute genomic predictions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtlajtLzO&md5=72a67d9534970b95f4eaa54570cc416eCAS | 18946147PubMed |
VanRaden PM, Olson KM, Null DJ, Hutchison JL (2011) Harmful recessive effects on fertility detected by absence of homozygous haplotypes. Journal of Dairy Science 94, 6153–6161.
| Harmful recessive effects on fertility detected by absence of homozygous haplotypes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhsFClsbjM&md5=1fbb2b4ef252b2d64c2f25111e08756dCAS | 22118103PubMed |
Veerkamp RF, Thompson R (1999) A covariance function for feed intake, live weight, and milk yield estimated using a random regression model. Journal of Dairy Science 82, 1565–1573.
| A covariance function for feed intake, live weight, and milk yield estimated using a random regression model.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1MXks1ahtrw%3D&md5=ae480770e4a6d419dfec3bec717232f6CAS | 10416172PubMed |
Visscher PM, Medland SE, Ferreira MAR, Morley KI, Zhu G, Cornes BK, Montgomery CW, Martin NG (2006) Assumptions-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings. PLOS Genetics 2, e41
| Assumptions-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings.Crossref | GoogleScholarGoogle Scholar | 16565746PubMed |
Visscher PM, Hill WG, Wray NR (2008) Heritability in the genomics era: concepts and mis-conceptions. Nature Reviews. Genetics 9, 255–266.
| Heritability in the genomics era: concepts and mis-conceptions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXjtlGnurw%3D&md5=730dd6838645acd575f2f009acb7a224CAS | 18319743PubMed |
Wall E, Brotherstone S, Kearney JF, Woolliams JA, Coffey MP (2005) Impact of nonadditive genetic effects in the estimation of breeding values for fertility and correlated traits. Journal of Dairy Science 88, 376–385.
| Impact of nonadditive genetic effects in the estimation of breeding values for fertility and correlated traits.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXmslWg&md5=c9b899516f66b1fbaae34ad80e24222fCAS | 15591402PubMed |
Wall E, Simm G, Moran D (2010) Developing breeding schemes to assist mitigation of greenhouse gas emissions. Animal 4, 366–376.
| Developing breeding schemes to assist mitigation of greenhouse gas emissions.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC38vptFaitw%3D%3D&md5=b96ffd592b48506d6e28bbbbe2b582d3CAS | 22443941PubMed |
Walsh S, Buckley F, Berry DP, Rath M, Pierce K, Byrne N, Dillon PG (2007) Effect of breed, feeding system, and parity on udder health and milking characteristics. Journal of Dairy Science 90, 5767–5779.
| Effect of breed, feeding system, and parity on udder health and milking characteristics.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhsVSgtr3E&md5=a0818993572dd9fef4bff94e27026a32CAS | 18024771PubMed |
Walsh SW, Mossa F, Butler ST, Berry DP, Scheetz D, Jimenez-Krassel F, Tempelman RJ, Carter F, Lonergan P, Evans AOC, Ireland JJ (2014) Heritability and impact of environmental effects during pregnancy on antral follicle count in cattle. Journal of Dairy Science 97, 4503–4511.
| Heritability and impact of environmental effects during pregnancy on antral follicle count in cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhtVCju7jI&md5=cd37a637609e5282bb4ec858eaa20001CAS | 24835969PubMed |
Williams P, Norris K (1987) ‘Near-infrared technology in the agricultural and food industries.’ (American Association of Cereal Chemists: St Paul, MN)
Wittenburg D, Melzer N, Willmitzer L, Lisec J, Kesting U, Reinsch N, Repsilber D (2013) Milk metabolites and their genetic variability. Journal of Dairy Science 96, 2557–2569.
| Milk metabolites and their genetic variability.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXitlensro%3D&md5=af3fb1caab22aa5e614dd5e7eb51aadcCAS | 23403187PubMed |
Wulfhorst JD, Ahola JK, Kane SL, Keenan LD, Hill RA (2010) Factors affecting beef cattle producer perspectives on feed efficiency. Journal of Animal Science 88, 3749–3758.
| Factors affecting beef cattle producer perspectives on feed efficiency.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhtlGlsLzJ&md5=61bbbde3db6eddfd91145ad5d7f177daCAS | 20622178PubMed |
Yatoo MI, Kumar P, Dimri U, Sharma MC (2012) Effects of climate change on animal health and diseases. International Journal of Livestock Research 2, 15–24.
| Effects of climate change on animal health and diseases.Crossref | GoogleScholarGoogle Scholar |