Articles citing this paper
Use of molecular technologies for the advancement of animal breeding: genomic selection in dairy cattle populations in Australia, Ireland and New Zealand
Richard J. Spelman A D , Ben J. Hayes B and Donagh P. Berry C
+ Author Affiliations
- Author Affiliations
A Livestock Improvement Corporation, Private Bag 3016, Hamilton, New Zealand.
B Department of Primary Industries, GPO Box 4440, Melbourne, Vic. 3001, Australia.
C Animal & Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland.
D Corresponding author. Email: rspelman@lic.co.nz
Animal Production Science 53(9) 869-875 https://doi.org/10.1071/AN12304
Submitted: 24 August 2012 Accepted: 2 February 2013 Published: 24 April 2013
28 articles found in Crossref database.
The development of genomics applied to dairy breeding
Silva Marcos V.B.,
dos Santos Daniel J.A.,
Boison Solomon A.,
Utsunomiya Adam T.H.,
Carmo Adriana S.,
Sonstegard Tad S.,
Cole John B., Van Tassell Curt P.
Livestock Science. 2014 166 p.66
Milk production and fertility performance of Holstein, Friesian, and Jersey purebred cows and their respective crosses in seasonal-calving commercial farms
Coffey E.L.,
Horan B.,
Evans R.D., Berry D.P.
Journal of Dairy Science. 2016 99(7). p.5681
Justification for setting the individual animal genotype call rate threshold at eighty-five percent1
Purfield D. C.,
McClure M., Berry D. P.
Journal of Animal Science. 2016 94(11). p.4558
A 100-Year Review: A century of change in temperate grazing dairy systems
Roche J.R.,
Berry D.P.,
Bryant A.M.,
Burke C.R.,
Butler S.T.,
Dillon P.G.,
Donaghy D.J.,
Horan B.,
Macdonald K.A., Macmillan K.L.
Journal of Dairy Science. 2017 100(12). p.10189
Low-density genotype panel for both parentage verification and discovery in a multi-breed sheep population
Berry D.P.,
McHugh N.,
Wall E.,
McDermott K., O’Brien A.C.
Irish Journal of Agricultural and Food Research. 2019 58(1). p.1
An economically based evaluation index for perennial and short‐term ryegrasses in New Zealand dairy farm systems
Chapman D. F.,
Bryant J. R.,
Olayemi M. E.,
Edwards G. R.,
Thorrold B. S.,
McMillan W. H.,
Kerr G. A.,
Judson G.,
Cookson T.,
Moorhead A., Norriss M.
Grass and Forage Science. 2017 72(1). p.1
Population demographic history and population structure for Pakistani Nili-Ravi breeding bulls based on SNP genotyping to identify genomic regions associated with male effects for milk yield and body weight
Islam Saher,
Reddy Umesh K.,
Natarajan Purushothaman,
Abburi Venkata Lakshmi,
Bajwa Amna Arshad,
Imran Muhammad,
Zahoor Muhammad Yasir,
Abdullah Muhammad,
Bukhari Aamir Mehmood,
Iqbal Sajid,
Ashraf Kamran,
Nadeem Asif,
Rehman Habibur,
Rashid Imran,
Shehzad Wasim, Hansen Peter J.
PLOS ONE. 2020 15(11). p.e0242500
Accuracies of genomic prediction for twenty economically important traits in Chinese Simmental beef cattle
Zhu B.,
Guo P.,
Wang Z.,
Zhang W.,
Chen Y.,
Zhang L.,
Gao H.,
Wang Z.,
Gao X.,
Xu L., Li J.
Animal Genetics. 2019 50(6). p.634
Inter-animal genetic variability exist in organoleptic properties of prime beef meat
Berry D.P.,
Conroy S.,
Hegarty P.J.,
Evans R.D.,
Pabiou T., Judge M.M.
Meat Science. 2021 173 p.108401
International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources
Berry D.P.,
Coffey M.P.,
Pryce J.E.,
de Haas Y.,
Løvendahl P.,
Krattenmacher N.,
Crowley J.J.,
Wang Z.,
Spurlock D.,
Weigel K.,
Macdonald K., Veerkamp R.F.
Journal of Dairy Science. 2014 97(6). p.3894
Relationship between main reproductive parameters and productivity traits in dairy cows
Mišeikienė R.,
Tušas S.,
Kerzienė S.,
Rudejevienė J.,
Matusevičius P.,
Orzechowski B., Miciński J.
Arquivo Brasileiro de Medicina Veterinária e Zootecnia. 2022 74(4). p.714
Multi‐trait genomic predictions using GBLUP and Bayesian mixture prior model in beef cattle
Wang Zezhao,
Ma Haoran,
Li Hongwei,
Xu Lei,
Li Hongyan,
Zhu Bo,
Hay El Hamidi,
Xu Lingyang, Li Junya
Animal Research and One Health. 2023 1(1). p.17
Development of a system to rank perennial ryegrass cultivars according to their economic value to dairy farm businesses in south-eastern Australia
Leddin C. M.,
Jacobs J. L.,
Smith K. F.,
Giri K.,
Malcolm B., Ho C. K. M.
Animal Production Science. 2018 58(8). p.1552
Performance of genomic selection under a single‐step approach in autochthonous Spanish beef cattle populations
Mouresan E.‐F.,
Altarriba J.,
Moreno C.,
Munilla S.,
González‐Rodríguez A., Varona L.
Journal of Animal Breeding and Genetics. 2017 134(4). p.289
Milk production of Holstein-Friesian cows of divergent Economic Breeding Index evaluated under seasonal pasture-based management
O'Sullivan M.,
Horan B.,
Pierce K.M.,
McParland S.,
O'Sullivan K., Buckley F.
Journal of Dairy Science. 2019 102(3). p.2560
Animal breeding strategies can improve meat quality attributes within entire populations
Berry D.P.,
Conroy S.,
Pabiou T., Cromie A.R.
Meat Science. 2017 132 p.6
Breeding the dairy cow of the future: what do we need?
Berry Donagh P.
Animal Production Science. 2015 55(7). p.823
The impact of multi-generational genotype imputation strategies on imputation accuracy and subsequent genomic predictions1
Judge M. M,
Purfield D. C.,
Sleator R. D., Berry D. P.
Journal of Animal Science. 2017 95(4). p.1489
The Impact of Variable Degrees of Freedom and Scale Parameters in Bayesian Methods for Genomic Prediction in Chinese Simmental Beef Cattle
Zhu Bo,
Zhu Miao,
Jiang Jicai,
Niu Hong,
Wang Yanhui,
Wu Yang,
Xu Lingyang,
Chen Yan,
Zhang Lupei,
Gao Xue,
Gao Huijiang,
Liu Jianfeng,
Li Junya, Zhao Shuhong
PLOS ONE. 2016 11(5). p.e0154118
Genomic Selection in Dairy Cattle: The USDA Experience
Wiggans George R.,
Cole John B.,
Hubbard Suzanne M., Sonstegard Tad S.
Annual Review of Animal Biosciences. 2017 5(1). p.309
Additive genetic, non-additive genetic and permanent environmental effects for female reproductive performance in seasonal calving dairy females
Kelleher M.M.,
Buckley F.,
Evans R.D., Berry D.P.
Irish Journal of Agricultural and Food Research. 2016 55(1). p.10
Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissions
Moate Peter J.,
Deighton Matthew H.,
Williams S. Richard O.,
Pryce Jennie E.,
Hayes Ben J.,
Jacobs Joe L.,
Eckard Richard J.,
Hannah Murray C., Wales William J.
Animal Production Science. 2016 56(7). p.1017
Evaluation of developed low-density genotype panels for imputation to higher density in independent dairy and beef cattle populations1
Judge M. M,
Kearney J. F.,
McClure M. C.,
Sleator R. D., Berry D. P.
Journal of Animal Science. 2016 94(3). p.949
Genomic Prediction Using LD-Based Haplotypes in Combined Pig Populations
Ye Haoqiang,
Zhang Zipeng,
Ren Duanyang,
Cai Xiaodian,
Zhu Qianghui,
Ding Xiangdong,
Zhang Hao,
Zhang Zhe, Li Jiaqi
Frontiers in Genetics. 2022 13
Cumulative dairy cow genetic change from selection and crossbreeding over the last 2 decades in New Zealand closely aligns to model-based predictions published in 2000
Lopez-Villalobos N.,
Blair H.T., Garrick D.J.
JDS Communications. 2021 2(2). p.51
Industry benefits from using genomic information in two- and three-tier sheep breeding systems
Horton B. J.,
Banks R. G., van der Werf J. H. J.
Animal Production Science. 2015 55(4). p.437
Genetics and genomics of reproductive performance in dairy and beef cattle
Berry D.P.,
Wall E., Pryce J.E.
Animal. 2014 8 p.105
Breeding for resistance to gastrointestinal nematodes – the potential in low-input/output small ruminant production systems
Zvinorova P.I.,
Halimani T.E.,
Muchadeyi F.C.,
Matika O.,
Riggio V., Dzama K.
Veterinary Parasitology. 2016 225 p.19
