We aim to make all our publications open access.
Banks, R (2022). Long-term Challenges for Animal Breeding. In: Meyers, R.A. (eds) Encyclopedia of Sustainability Science and Technology. Springer, New York, NY. doi.org/10.1007/978-1-4939-2493-6_1123-1
Banks, R G (2022). Evolution of genetics organisations’ strategies through the implementation of genomic selection: learnings and prospects. Agriculture 12(10): 1524 doi.org/10.3390/agriculture12101524
Charlesworth, B; Goddard, M E; Meyer, K; Visscher, P M; Weir, B S and Wray, N R (2022). From Mendel to quantitative genetics in the genome era: the scientific legacy of W. G. Hill. Nature Genetics 54(7): 934-939 doi.org/10.1038/s41588-022-01103-1
Nel, C; Gurman, P M; Swan, A A; ven der Werf, J H J; Snyman, M; Dzama, K; Gore, K P; Scholtz, A and Cloete, S (2022). The genomic structure of isolation across breed, country and strain for important South African and Australian sheep populations. BMC Genomics 23: 23 doi.org/10.1186/s12864-021-08020-3
Samaraweera, A M; van der Werf, J H J; Boerner, V and Hermesch, S (2022). Economic values for production, fertility and mastitis traits for temperate dairy cattle breeds in tropical Sri Lanka. Journal of Animal Breeding and Genetics 139: 330-341 doi.org/10.1111/jbg.12667
Samaraweera, A M; Boerner, V; van der Werf, J H J; Disnaka, S and Hermesch, S (2022). Genetic associations between mastitis, milk electrical conductivity, and milk flow rate in temperate dairy cows in the tropics. Livestock Science 264: 105064 doi.org/10.1016/j.livsci.2022.105064
Vargas Jurado, N; Notter, D R; Taylor, J B; Brown, D J; Mousel, M R and Lewis, R M (2022). Model definition for genetic evaluation of purebred and crossbred lambs including heterosis. Journal of Animal Science 100(6); 1-14 doi.org/10.1093/jas/skac188
Vargovic, L; Harper, J and Bunter, K L (2022). Traits defining sow lifetime maternal performance Animal 12(18): 2451 doi.org/10.3390/ani12182451
Vargovic, L; Athorn, R Z; Hermesch, S and Bunter, K L (2022). Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment. Journal of Animal Science 100(11): 1-13 doi.org/10.1093/jas/skac294
Wahinya, P K; Jeyaruban, M G; Swan, A A and van der Werf, J H J (2022). Breeding objectives for dairy cattle under low, medium and high production systems in the tropics. Animal 16(5): 100513 doi.org/10.1016/j.animal.2022.100513
Wahinya, P K; Jeyaruban, G M; Swan, A A and van der Werf, J H J (2022). Optimization of Dairy Cattle Breeding Programs with Genotype by Environment Interaction in Kenya. Agriculture 12(8): 1274 doi.org/10.3390/agriculture12081274
Wahinya, P K; Oddy, V H; Dominik, S; Brown, D J; Macleay, C A; Paganoni, B;
Thompson, A N; Donaldson, A J; Austin, K; Cameron, M and van der Werf, J H J (2022). Genetic parameters for methane emissions in Australian sheep measured in portable accumulation chambers in grazing and controlled environments. Animal Production Science 62(9): 818-827 doi.org/10.1071/AN21270
Walkom, S F; Bunter, K L; Raadsma, H W; Gurman, P M; Brown, D J; Gibson, W; Wilding, E and Ferguson, M B (2022). Development of
breeding values for susceptibility to virulent footrot in sheep: A strategy to
accommodate variable disease progression at time of scoring. Animal 16(5): 100514 doi.org/10.1016/j.animal.2022.100514
Alexandri, P; Walkom, S F; Swan, A A; van der Werf, J H J and Brown, D J
(2022). Value of data from ram breeding flocks as an industry reference population for Australian sheep. Paper 29_014
Banks, R G (2022). Strategies to support phenotyping for genomic selection R&D and implementation in beef and sheep
industries. Paper 45_001
Brown, D J; McCrabb, E J; Bradley, P E; Rose, I J; Banks, R G and Guy, S Z Y (2022). The Data Quality Score: objective assessment of data quality for Australian sheep breeders. Paper 34_002
Chapman, N C; Frost, E A and Banks, R G (2022). A model for, and early implementation of, genomic selection in the Australian honey bee population. Paper 53_003
Dehnavi, E and Swan, A A (2022). Enhancement of the Terminal Carcass Production index to incorporate birth weight and lambing ease in Australian sheep. Paper 51_010
Ferdosi, M H; Masoodi, S and Khansefid, M (2022). Efficient algorithms to identify duplicated genotypes in large datasets. Paper 30_004
Frost, E A; Chapman, N C; Banks, R G; Walkom, S F and Hermesch, S (2022). Economic value and production characteristics of table honey. Paper 53_001
Gurman, P G; Li, L; Swan, A A; Moghaddar, N and van der Werf, J H J (2022). Variance component estimation for single-step genomic BLUP for Australian terminal sire sheep. Paper 19_013
Guy, S Z Y; Mortimer, S I; Pannier, L; McGilchrist, P; Brown, D J; Pethick, D and Swan, A A (2022). Genetic selection for sensory eating quality of lamb using consumer assessments. Paper 29_012
Hermesch, S and Isberg, S R (2022). Economic values for skin grade, days to market and number of hatchlings in the Australian saltwater crocodile industry. Paper 37_015
Sharif-Islam, M; van der Werf, J H J; Henryon, M; Chu, T T; Wood, B J and Hermesch, S (2022). Genotyping dead animals improves post-weaning
survival of pigs in breeding programs. Paper 68_010
Johnston, D J; Ferdosi, M H; Cook, J and Savage, D B (2022). Polled Accelerator - a unique application of genomic technologies to address a beef breeding challenge. Paper 45_005
McMillan, A J; Brown, D J; Burke, J M; Morgan, J and Lewis, R M (2022). Cross-validation of single-step genetic evaluation in U.S. Katahdin sheep. Paper 29_002
Meyer, K (2022). Accounting for trait-specific genomic and residual polygenic covariances in multivariate single-step genomic evaluation. Paper 36_007
Miller, S P and Retallick, K J (2022). Breeding for a future social license for beef production. Paper 03_008
Moore, K L; Ferdosi, M H; Girard, C G; Walkom, S F and Johnston, D J (2022). A metric to assess Australian beef cattle reference population suitability for genomic section. Paper 08_008
Samaraweera, A M; van der Werf, J H J; Boerner, V and Hermesch, S (2022). Response to index selection for temperate dairy cattle breeds in tropical Sri Lanka. Paper 55_008
Sarker, N R; Walmsley, B J and Hermesch, S (2022). Improving carcase value by incorporating primal weights into beef breeding objectives. Paper 51_004
Soleimani, T; Hermesch, S and Gilbert, H (2022). Life cycle assessment to predict individual environmental impacts: towards selection for sustainable pig production. Paper 74_001
Van Eenennaam, A L and Hermesch, S (2022). History and author analysis of the World Congresses on Genetics Applied to Livestock Production. Paper 31_001
Vargovic, L; Bunter, K L and Hermesch, S (2022). The value of innate sow appetite as a model trait for maternal breeding objectives. Paper 68_003
Walmsley, B J (2022). Consequences of using different economic selection index methods on greenhouse gas emissions in beef cattle. Paper 62_008
Brown, D J; Gurman, P M and Swan, A A (2022). Genetic benchmarking of carcase traits in Terminal sheep flocks possible with genomic testing. pp. xx
Campbell, J and Johnston, D J (2022). Genetics of heifer puberty and growth in tropically adapted beef breeds. pp. lxiii
Grant, T and Johnston, D J (2022). Poll genotype or phenotype are not associated with growth performance in tropical beef breeds. pp. lxxvi
Walkom, S F and Swan, A A (2022). Using historic data to understand the cost of an extra condition score in sheep AAAS. pp. xii