Articles citing this paper
Genetic evaluation for the beef industry in Australia
H-U. Graser A B , B. Tier A , D. J. Johnston A and S. A. Barwick A
+ Author Affiliations
- Author Affiliations
A Animal Genetics and Breeding Unit (a joint venture of NSW Department of Primary Industries and The University of New England), The University of New England, Armidale, NSW 2351, Australia.
B Corresponding author. Email: hgraser@une.edu.au
Australian Journal of Experimental Agriculture 45(8) 913-921 https://doi.org/10.1071/EA05075
Submitted: 15 March 2005 Accepted: 3 June 2005 Published: 26 August 2005
79 articles found in Crossref database.
Genesis, design and methods of the Beef CRC Maternal Productivity Project
Pitchford W. S.,
Accioly J. M.,
Banks R. G.,
Barnes A. L.,
Barwick S. A.,
Copping K. J.,
Deland M. P. B.,
Donoghue K. A.,
Edwards N.,
Hebart M. L.,
Herd R. M.,
Jones F. M.,
Laurence M.,
Lee S. J.,
McKiernan W. A.,
Parnell P. F.,
Speijers E. J.,
Tudor G. D., Graham J. F.
Animal Production Science. 2018 58(1). p.20
Detection of Genomic Imprinting for Carcass Traits in Cattle Using Imputed High-Density Genotype Data
Kenny David,
Sleator Roy D.,
Murphy Craig P.,
Evans Ross D., Berry Donagh P.
Frontiers in Genetics. 2022 13
Genetic analysis of feet and leg traits of Australian Angus cattle using linear and threshold models
Jeyaruban Gilbert,
Tier Bruce,
Johnston David, Graser Hans
Animal Production Science. 2012 52(1). p.1
Variation in residual feed intake depends on feed on offer
Pitchford W. S.,
Lines D. S., Wilkes M. J.
Animal Production Science. 2018 58(8). p.1414
Comparison of Genetic Merit for Weight and Meat Traits between the Polled and Horned Cattle in Multiple Beef Breeds
Randhawa Imtiaz A. S.,
McGowan Michael R.,
Porto-Neto Laercio R.,
Hayes Ben J., Lyons Russell E.
Animals. 2021 11(3). p.870
Genetic correlations of young bull reproductive traits and heifer puberty traits with female reproductive performance in two tropical beef genotypes in northern Australia
Johnston D. J.,
Corbet N. J.,
Barwick S. A.,
Wolcott M. L., Holroyd R. G.
Animal Production Science. 2014 54(1). p.74
Longitudinal analysis of body weight and average daily feed intake during the feedlot test period in Angus cattle
Torres‐Vázquez José Antonio,
Duijvesteijn Naomi,
van der Werf Julius H. J., Clark Samuel A.
Journal of Animal Breeding and Genetics. 2020 137(3). p.281
Maternal body composition in seedstock herds. 4. Genetic parameters for body composition of Angus and Hereford cows
Donoghue K. A.,
Lee S. J.,
Parnell P. F., Pitchford W. S.
Animal Production Science. 2018 58(1). p.145
Genomic Analysis of Purebred and Crossbred Angus Cows Quantifies Heterozygosity, Breed, and Additive Effects on Components of Reproduction
Pitchford Wayne S.,
Pitchford Judith M.,
Alexopoulos Jena G., Hebart Michelle L.
Animals. 2021 12(1). p.61
Deriving a preliminary breeding objective for commercial ostriches: an overview
Cloete S. W. P.,
Engelbrecht A.,
Olivier J. J., Bunter K. L.
Australian Journal of Experimental Agriculture. 2008 48(10). p.1247
Beef cattle breeding in Australia with genomics: opportunities and needs
Johnston D. J.,
Tier B., Graser H.-U.
Animal Production Science. 2012 52(3). p.100
Phenotypic and genetic relationships for feed intake, feed efficiency, body composition and cow milk yield measured postweaning and in mature beef cows
Archer J. A.,
Reverter A.,
Herd R. M.,
Arthur P. F., Mortimer Suzanne
Animal Production Science. 2023 63(15). p.1473
Male traits and herd reproductive capability in tropical beef cattle. 2. Genetic parameters of bull traits
Corbet N. J.,
Burns B. M.,
Johnston D. J.,
Wolcott M. L.,
Corbet D. H.,
Venus B. K.,
Li Y.,
McGowan M. R., Holroyd R. G.
Animal Production Science. 2013 53(2). p.101
The use of walk over weigh to predict calving date in extensively managed beef herds
Aldridge Michael N.,
Lee Stephen J.,
Taylor Julian D.,
Popplewell Greg I.,
Job Fergus R., Pitchford Wayne S.
Animal Production Science. 2017 57(3). p.583
Where in the beef-cattle supply chain might DNA tests generate value?
Van Eenennaam Alison L., Drake Daniel J.
Animal Production Science. 2012 52(3). p.185
Development and implementation of genomic predictions in beef cattle
Berry D.P.,
Garcia J.F., Garrick D.J.
Animal Frontiers. 2016 6(1). p.32
Macro- and micro-genetic environmental sensitivity of yearling weight in Angus beef cattle
Madsen M.D.,
van der Werf J.H.J., Clark S.
animal. 2024 18(2). p.101068
Modelling systems to describe maternal productivity, with the aim of improving beef production efficiency by eliciting practice change
Walmsley B. J., Oddy V. H.
Animal Production Science. 2018 58(1). p.193
Maternal body composition in seedstock herds. 2. Relationships between cow body composition and BREEDPLAN EBVs for Angus and Hereford cows
Lee S. J.,
Donoghue K. A., Pitchford W. S.
Animal Production Science. 2018 58(1). p.125
Selection strategies for beef cow size and condition
Hickson R. E., Pitchford W. S.
Animal Production Science. 2021 61(18). p.1925
Genetics of steer daily and residual feed intake in two tropical beef genotypes, and relationships among intake, body composition, growth and other post-weaning measures
Barwick S. A.,
Wolcott M. L.,
Johnston D. J.,
Burrow H. M., Sullivan M. T.
Animal Production Science. 2009 49(6). p.351
Genetic parameters for calving difficulty using complex genetic models in five beef breeds in Australia
Jeyaruban M. G.,
Johnston D. J.,
Tier B., Graser H.-U.
Animal Production Science. 2016 56(5). p.927
Divergent breeding values for fatness or residual feed intake in Angus cattle. 5. Cow genotype affects feed efficiency and maternal productivity
Hebart M. L.,
Accioly J. M.,
Copping K. J.,
Deland M. P. B.,
Herd R. M.,
Jones F. M.,
Laurence M.,
Lee S. J.,
Lines D. S.,
Speijers E. J.,
Walmsley B. J., Pitchford W. S.
Animal Production Science. 2018 58(1). p.80
Multivariate analyses of carcass traits for Angus cattle fitting reduced rank and factor analytic models
Meyer K.
Journal of Animal Breeding and Genetics. 2007 124(2). p.50
Genetic Parameters for Growth, Ultrasound and Carcass Traits in New Zealand Beef Cattle and Their Correlations with Maternal Performance
Weik Franziska,
Hickson Rebecca E.,
Morris Stephen T.,
Garrick Dorian J., Archer Jason A.
Animals. 2021 12(1). p.25
Estimation of herbage intake of Angus heifers from growth rate and milk production selection lines
Martínez JM,
Morris ST, Parkinson TJ
New Zealand Journal of Agricultural Research. 2010 53(1). p.29
Genetic analysis of docility score of Australian Angus and Limousin cattle
Walkom S. F.,
Jeyaruban M. G.,
Tier B., Johnston D. J.
Animal Production Science. 2018 58(2). p.213
Effect of postweaning growth and bulls selected for extremes in retail beef yield and intramuscular fat on progeny liveweight and carcass traits
Graham J. F.,
Byron J.,
Clark A. J.,
Kearney G., Orchard B.
Animal Production Science. 2009 49(6). p.493
Breeding strategies for the development of the Australian beef industry: an overview
Hammond K.
Australian Journal of Experimental Agriculture. 2006 46(2). p.183
Integration of genomic information into beef cattle and sheep genetic evaluations in Australia
Swan Andrew A.,
Johnston David J.,
Brown Daniel J.,
Tier Bruce, Graser Hans-U.
Animal Production Science. 2012 52(3). p.126
Maternal body composition in seedstock herds. 5. Individual-trait selection direction aligns with breeder perspectives on maternal productivity
Lee S. J.,
Nuberg I. K., Pitchford W. S.
Animal Production Science. 2018 58(1). p.156
Accuracies of genomically estimated breeding values from pure-breed and across-breed predictions in Australian beef cattle
Boerner Vinzent,
Johnston David J, Tier Bruce
Genetics Selection Evolution. 2014 46(1).
Genetic and phenotypic associations of feed efficiency with growth and carcass traits in Australian Angus cattle1
Torres-Vázquez José Antonio,
van der Werf Julius H J, Clark Samuel A
Journal of Animal Science. 2018 96(11). p.4521
Fertility traits in spring-calving Aberdeen Angus cattle. 1. Model development and genetic parameters1
Urioste J. I.,
Misztal I., Bertrand J. K.
Journal of Animal Science. 2007 85(11). p.2854
Achieving adoption and innovation in Australia's beef industry
Burrow H. M.
Animal Production Science. 2010 50(6). p.418
Energy relations in cattle can be quantified using open-circuit gas-quantification systems
Caetano M.,
Wilkes M. J.,
Pitchford W. S.,
Lee S. J., Hynd P. I.
Animal Production Science. 2018 58(10). p.1807
Performance of steer progeny of sires differing in genetic potential for fatness and meat yield following postweaning growth at different rates. 2. Carcass traits
McKiernan W. A.,
Wilkins J. F.,
Irwin J.,
Orchard B., Barwick S. A.
Animal Production Science. 2009 49(6). p.525
Postweaning substitution of grazed forage with a high-energy concentrate has variable long-term effects on subcutaneous fat and marbling in Bos taurus genotypes1
Greenwood P. L.,
Siddell J. P.,
Walmsley B. J.,
Geesink G. H.,
Pethick D. W., McPhee M. J.
Journal of Animal Science. 2015 93(8). p.4132
Estimates of genetic parameters and genetic trend for Wood’s lactation curve traits of Tunisian Holstein–Friesian cows
Bakri Nour Elhouda,
Pieramati Camillo,
Sarti Francesca Maria,
Giovanini Samira, Djemali M.’Naouer
Tropical Animal Health and Production. 2022 54(4).
More animals than markers: a study into the application of the single step T-BLUP model in large-scale multi-trait Australian Angus beef cattle genetic evaluation
Boerner Vinzent, Johnston David J.
Genetics Selection Evolution. 2019 51(1).
Growth, feed intake and maternal performance of Angus heifers selected for high or low growth and milk production
Morris S. T.,
Garrick D. J.,
Lopez-Villalobos N.,
Kenyon P. R.,
Burke J. L., Blair H. T.
Animal Production Science. 2010 50(6). p.349
Selection for increased muscling is not detrimental to maternal productivity traits in Angus cows
Cafe L. M.,
McKiernan W. A., Robinson D. L.
Animal Production Science. 2018 58(1). p.185
Genetic principal components for live ultrasound scan traits of Angus cattle
Meyer K.
Animal Science. 2005 81(3). p.337
Estimation of accuracies and expected genetic change from selection for selection indexes that use multiple‐trait predictions of breeding values
Barwick S.A.,
Tier B.,
Swan A.A., Henzell A.L.
Journal of Animal Breeding and Genetics. 2013 130(5). p.341
Optimising a Data Visualisation Tool to Enable Sensor-Based Detection of Parturition in Extensive Grazing Systems: Producer Preferences and Recommendations for the Development of a Calving Alert Platform
Chang Anita Zoe,
Charters Stuart M.,
O’Connor Lauren R.,
Swain David L., Trotter Mark G.
SSRN Electronic Journal . 2022
Performance of steer progeny of sires differing in genetic potential for fatness and meat yield following post-weaning growth at different rates. 1. Growth and live-animal composition
Wilkins J. F.,
McKiernan W. A.,
Irwin J.,
Orchard B., Barwick S. A.
Animal Production Science. 2009 49(6). p.515
Genetic relationships between live animal scan traits and carcass traits of Australian Angus bulls and heifers
Börner Vinzent,
Johnston David J., Graser Hans-Ulrich
Animal Production Science. 2013 53(10). p.1075
A method for deriving the genetic matrix needed for selection across combinations of breeds
Barwick Stephen A.,
Johnston David J.,
Walmsley Bradley J.,
Jeyaruban M. Gilbert, Boerner Vincent
Journal of Animal Breeding and Genetics. 2020 137(5). p.510
Selection for residual feed intake affects appetite and body composition rather than energetic efficiency
Lines D. S.,
Pitchford W. S.,
Bottema C. D. K.,
Herd R. M., Oddy V. H.
Animal Production Science. 2018 58(1). p.175
Divergent genotypes for fatness or residual feed intake in Angus cattle. 3. Performance of mature cows
Copping K. J.,
Accioly J. M.,
Deland M. P. B.,
Edwards N. J.,
Graham J. F.,
Hebart M. L.,
Herd R. M.,
Jones F. M.,
Laurence M.,
Lee S. J.,
Speijers E. J., Pitchford W. S.
Animal Production Science. 2018 58(1). p.55
Genetic Correlations between Days to Calving across Joinings and Lactation Status in a Tropically Adapted Composite Beef Herd
Facy Madeliene L.,
Hebart Michelle L.,
Oakey Helena,
McEwin Rudi A., Pitchford Wayne S.
Agriculture. 2022 13(1). p.37
IoT based Smart Agriculture for the Detection of Plant Decay
2023 7th International Conference on Computing Methodologies and Communication (ICCMC) (2023)
Divergent breeding values for fatness or residual feed intake in Angus cattle. 1. Pregnancy rates of heifers differed between fat lines and were affected by weight and fat
Jones F. M.,
Accioly J. M.,
Copping K. J.,
Deland M. P. B.,
Graham J. F.,
Hebart M. L.,
Herd R. M.,
Laurence M.,
Lee S. J.,
Speijers E. J., Pitchford W. S.
Animal Production Science. 2018 58(1). p.33
Genetics of early and lifetime annual reproductive performance in cows of two tropical beef genotypes in northern Australia
Johnston D. J.,
Barwick S. A.,
Fordyce G.,
Holroyd R. G.,
Williams P. J.,
Corbet N. J., Grant T.
Animal Production Science. 2014 54(1). p.1
The value of using DNA markers for beef bull selection in the seedstock sector1,2
Van Eenennaam A. L.,
van der Werf J. H. J., Goddard M. E.
Journal of Animal Science. 2011 89(2). p.307
Analysing quantitative parent‐of‐origin effects with examples from ultrasonic measures of body composition In Australian beef cattle
Tier B., Meyer K.
Journal of Animal Breeding and Genetics. 2012 129(5). p.359
Maternal body composition in seedstock herds. 1. Grazing management strategy influences perspectives on optimal balance of production traits and maternal productivity
Lee S. J.,
Nuberg I. K., Pitchford W. S.
Animal Production Science. 2018 58(1). p.117
Genomic analysis of purebred and crossbred Angus cattle demonstrates opportunity for multi-breed evaluation
Pitchford W. S.,
Pitchford J. M.,
McEwin R. A., Tearle R.
Animal Production Science. 2021 61(18). p.1913
Genetic relationships among yearling fertility, body composition and weight traits in tropically adapted composite cattle
Facy M. L.,
Hebart M. L.,
Oakey H.,
McEwin R. A.,
Pitchford W. S., Hatcher Sue
Animal Production Science. 2023 63(11). p.983
An investigation into potential genetic predictors of birth weight in tropically adapted beef cattle in northern Australia
Moore K. L.,
Johnston D. J.,
Grant T. P., Brien Forbes
Animal Production Science. 2023 63(11). p.1105
National cattle evaluation system for combined analysis of carcass characteristics and indicator traits recorded by using ultrasound in Angus cattle1
MacNeil M. D., Northcutt S. L.
Journal of Animal Science. 2008 86(10). p.2518
Days to calving in artificially inseminated beef cows: Comparison of potential traits
Robinson D.L.
Livestock Science. 2007 110(1-2). p.174
Development successes and issues for the future in deriving and applying selection indexes for beef breeding
Barwick S. A., Henzell A. L.
Australian Journal of Experimental Agriculture. 2005 45(8). p.923
Methods and consequences of including feed intake and efficiency in genetic selection for multiple-trait merit
Barwick Stephen A,
Henzell Anthony L,
Walmsley Brad J,
Johnston David J, Banks Robert G
Journal of Animal Science. 2018 96(5). p.1600
Days to calving in artificially inseminated cattle: Alternative models and analyses
Robinson D.L.
Livestock Science. 2008 117(1). p.34
Accuracy of Igenity genomically estimated breeding values for predicting Australian Angus BREEDPLAN traits1
Boerner V.,
Johnston D.,
Wu X.-L., Bauck S.
Journal of Animal Science. 2015 93(2). p.513
Multi-trait assessment of early-in-life female, male and genomic measures for use in genetic selection to improve female reproductive performance of Brahman cattle
Barwick S. A.,
Johnston D. J.,
Holroyd R. G.,
Walkley J. R. W., Burrow H. M.
Animal Production Science. 2014 54(1). p.97
Estimates of variances due to parent of origin effects for weights of Australian beef cattle
Meyer Karin, Tier Bruce
Animal Production Science. 2012 52(4). p.215
Combining information from genome-wide association and multi-tissue gene expression studies to elucidate factors underlying genetic variation for residual feed intake in Australian Angus cattle
de las Heras-Saldana Sara,
Clark Samuel A.,
Duijvesteijn Naomi,
Gondro Cedric,
van der Werf Julius H. J., Chen Yizhou
BMC Genomics. 2019 20(1).
644. Selection on yearling days to calving improves mature fertility traits in tropically adapted cattle
Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) (2022)
Maternal body composition in seedstock herds. 3. Multivariate analysis using factor analytic models and cluster analysis
De Faveri J.,
Verbyla A. P.,
Lee S. J., Pitchford W. S.
Animal Production Science. 2018 58(1). p.135
Methods and consequences of including reduction in greenhouse gas emission in beef cattle multiple-trait selection
Barwick Stephen A.,
Henzell Anthony L.,
Herd Robert M.,
Walmsley Bradley J., Arthur Paul F.
Genetics Selection Evolution. 2019 51(1).
Genetic Parameters for Maternal Performance Traits in Commercially Farmed New Zealand Beef Cattle
Weik Franziska,
Hickson Rebecca E.,
Morris Stephen T.,
Garrick Dorian J., Archer Jason A.
Animals. 2021 11(9). p.2509
The structure of a cattle stud determined using a medium density single nucleotide polymorphism array
Harrison Blair E.,
Bunch Rowan J.,
McCulloch Russell,
Williams Paul,
Sim Warren,
Corbet Nick J., Barendse William
Animal Production Science. 2012 52(10). p.890
Estimation of genetic parameters for lambing ease, birthweight and gestation length in Australian sheep
Li L., Brown D. J.
Animal Production Science. 2016 56(5). p.934
Genetic parameters for yearling male reproduction traits in tropical composite cattle population
Facy Madeliene L,
Hebart Michelle L,
Oakey Helena,
McEwin Rudi A, Pitchford Wayne S
Journal of Animal Science. 2024 102
Estimating the heritability of nitrogen and carbon isotopes in the tail hair of beef cattle
Moradi Morteza,
Warburton Christie L.,
Porto-Neto Laercio Ribeiro, Silva Luis F. P.
Genetics Selection Evolution. 2024 56(1).
Estimation of genotype×environment interactions for growth, fatness and reproductive traits in Australian Angus cattle
Jeyaruban M. G.,
Johnston D. J., Graser H.-U.
Animal Production Science. 2009 49(1). p.1
Estimated gene frequencies of GeneSTAR markers and their size of effects on meat tenderness, marbling, and feed efficiency in temperate and tropical beef cattle breeds across a range of production systems1
Johnston D. J., Graser H.-U.
Journal of Animal Science. 2010 88(6). p.1917
