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2016

Books and Book Chapters

Conference, Workshop and Seminar Publications - Refereed

Conference, Workshop and Seminar Papers - Other

Journal Articles - Refereed

Other Articles

Reports, Monographs and Technical Bulletins

Seminars, Presentations and Talks to Outside Bodies

Software Development

Theses


Books and Book Chapters

Bunter, K L; Lewis, C R G and Newman, S (2016).  “Breeding sows better suited to group housing.”  In S Hermesch and S Dominik (Eds.), Breeding Focus 2016 – Improving Welfare, pp 89-100, Armidale, NSW: University of New England.

Connors, N K and Tier, B (2016).  “Breeding polled cattle in Australia.”  In S Hermesch and S Dominik (Eds.), Breeding Focus 2016 – Improving Welfare, pp 59-66, Armidale, NSW: University of New England.

de las Heras-Saldana, S; Al-Mamun, H A; Ferdosi, M H; Khansefid, M and Gondro, C (2016).  “RNA Sequencing Applied to Livestock Production.”  In H N Kadarmideen (Ed.),   Systems Biology in Animal Production and Health, Vol. 1, pp 63-94, Springer International Publishing Switzerland.

Hermesch, S (2016).  “Breeding for improved Welfare of growing pigs.”  In S Hermesch and S Dominik (Eds.), Breeding Focus 2016 – Improving Welfare, pp 77-88, Armidale, NSW: University of New England.

Hermesch, S and Dominik, S (Eds.) (2016). Breeding Focus 2016 – Improving Welfare Armidale, NSW: University of New England.

Esquivelzeta-Rabell, C; Bunter, K L; Brown, D J and Ferguson, M (2016).  “Using genomic prediction for footrot resistance in sheep based on case-control industry data.”  In S Hermesch and S Dominik (Eds.), Breeding Focus 2016 – Improving Welfare, pp 101-112, Armidale, NSW: University of New England

Walkom, S F (2016).  “Improving the temperament of Australian cattle and implications for animal welfare.”  In S Hermesch and S Dominik (Eds.), Breeding Focus 2016 – Improving Welfare, pp 29-44, Armidale, NSW: University of New England.

 

Conference, Workshop and Seminar Papers - Refereed

Banks, R G (2016).  “What does genomics mean for animal production?”  Animal Production in Australia, Adelaide, SA, 4 – 7 July.  Paper 1453.

Banks, R G (2016).  “Balancing efficiency of production and product quality with new tools – the example of lamb.”  Animal Production in Australia,, Adelaide, SA, 4 – 7 July.  Paper 1454.

Banks, R G (2016).  “(Cost-)Effective Utilisation of Genomic Technologies in Beef Production.”  ICAR, Chile, Puerto Varas, Chile 24 – 28 October.

Ferdosi, M H; Börner, V and Tier, B (2016). “Identifying recombination events and haplotypes in beef cattle from half‐sib families. ”  5th International Conference on Quantitative Genetics, Madison, Wisconsin, USA, 12-17 June.

Meyer, K (2016).  “Making the most of precious data in estimating quantitative genetic parameters via restricted maximum likelihood.”  Australian Applied Statistics Conference, Berraga Bay, NSW, 28 November-2 December.

Tier, B and Meyer, K (2016).  “On curious properties of genomic relationship matrices
in mixed models.”  Fifth International Congress on Quantitative Genetics.  Book of Abstracts. No. 66, Madison, WI, 12-17 June.

Walkom, S F (2016).  “Importance of ewe and cow body condition in breeding programs.”  Animal Production in Australia, Adelaide, SA, 4 – 7 July.  Paper 1232.

 

Conference, Workshop and Seminar Papers – Other

 

 

Journal Articles - Refereed

Brown, D J and Fogarty, N M (2016).  “Genetic relationships between internal parasite resistance and production traits in Merino sheep.”  Animal Production Science  doi: org/10.1071/AN15469.

Brown, D J and Swan, A A (2016).  Genetic importance of fat and eye muscle depth in Merino breeding programs.”  Animal Production Science 56 (4): 690-697  doi: org/10.1071/AN14645.

Brown, D J; Fogarty, N M; Iker, C L, Ferguson, D M; Blache, D and Gaunt, G M (2016).  “Genetic evaluation of maternal behaviour and temperament in Australian sheep.”  Animal Production Science  56 (4): 767-774  doi: org/10.1071/AN14945.

Bunter K L; Swan, A A; Purvis, I W and Brown, D J (2016).  “Pregnancy scanning can be used as a source of data for genetic evaluation of reproductive traits of ewes.”  Animal Production Science  56 (4): 679-689  doi: org/10.1071/AN14630.

Cowling, W A; Li, L; Siddique, K H M; Henryon, M; Berg, P; Banks, R G and Kinghorn, B P (2016).  “Evolving gene banks: improving diverse populations of crop and exotic germplasm with optimal contribution selection”.  Journal of Experimental Botany  doi: 10.1093/jxb/erw406.

Elsen, J-M (2016).  “Approximated prediction of genomic selection accuracy when reference and candidate populations are related.”  Genetics Selection Evolution  48: 18  doi: 10.1186/s12711-016-0183-3.

Ferdosi, M H; Henshall, J and Tier, B (2016).  “Study of the optimum haplotype length to build genomic relationship matrices.”  Genetics Selection Evolution 48 (1): 1-14  doi: 10.1186/s12711-016-0253-6.

Huisman, AE, Brown, D J and Fogarty, N M (2016).  “Ability of sire breeding values to predict progeny bodyweight, fat and muscle using various transformations across environments in terminal sire sheep breeds.”  Animal Production Science  56 (1): 95-101  doi: 10.1071/AN14666.

Jeyaruban, M G; Johnston, D J; Tier, B and Graser, H-U (2016).  “Genetic parameters for calving difficulty using complex genetic models in five beef breeds in Australia.”  Animal Production Science  56 (5): 927-933  doi: org/10. 1071/AN14571.

Karimi, K; Strucken, E M; Moghaddar, N; Ferdosi, M H; Esmailizadeh, A and Gondro, C (2016).  “Local and global patterns of admixture and population structure in Iranian native cattle.”  BMC Genetics 17 (1)  doi: 10.1186/s12863-016-0416-z.

Li, L and Brown, D J (2016).  “Estimation of genetic parameters for lambing ease, birthweight and gestation length in Australian sheep.”  Animal Production Science  56 (5): 934-940  doi: org/10.1071/AN14129.

Li, L and Hermesch, S (2016).  “Evaluation of sire by environment interactions for growth rate and backfat depth using reaction norm models in pigs.”  Journal of Animal Breeding and Genetics  doi: 10.1111/jbg.12207.

Meyer, K (2016).  “Simple Penalties on Maximum-Likelihood Estimates of Genetic Parameters to Reduce Sampling Variation.”  Genetics  203 (4): 1885-1900  doi: 10.1534/genetics.115.186114.

Meyer, K (2016).  “Technical note: A successive over-relaxation pre-conditioner to solve mixed model equations for genetic evaluation.”  Journal of Animal Science  94 (11): 4530-4535  doi: 10.2527/jas.2016-0665.

Newton, J E; Brown, D J; Dominik, S and van der Werf, J H J (2016).  “Impact of young ewe fertility rate on risk and genetic gain in sheep-breeding programs using genomic selection.”  Animal Production Science  doi: org/10.1071/AN15321.

Walkom, S F and Brown, D J (2016).  “Genetic evaluation of adult ewe bodyweight and condition: relationship with lamb growth, reproduction, carcass and wool production.”  Animal Production Science  doi: org/10.1071/AN15091.

Walkom S F and Brown D J  (2016).  “Impact of liveweight, fat and muscle sire breeding values on ewe reproduction is minimal but variable across Australian grazing systems.”  Animal Production Science  doi:org/10.1071/AN15574

Walkom, S F; Brien, F D; Hebart, M L and Pitchford, W S (2016).  “The impact of selecting for increased ewe fat level on reproduction and its potential to reduce supplementary feeding in a commercial composite flock.”  Animal Production Science 56 (4): 698-707  doi: org/10.1071/AN14579.

Walkom, S F; Brien, F D; Hebart, M L; Fogarty, N M; Hatcher, S and Pitchford, W S (2016).  “Season and reproductive status rather than genetic factors influence change in ewe weight and fat over time. 4. Genetic relationships of ewe weight and fat score with fleece, reproduction and milk traits.”  Animal Production Science 56 (4): 708-715  doi: org/10.1071/AN15090.

Walkom S F; Jeyaruban, M G; Tier, B and Johnston, D J (2016).  “Genetic analysis of docility score of Australian Angus and Limousin cattle.” Animal Production Science  doi: org/10.1071/AN16240.

 

Other Articles

 

 

Reports, Monographs and Technical Bulletins

Mauch, E D; Serao, N V L; Wolc, A; Bunter, K L and Dekkers, J (2016).  “Juvenile IGF-I: An early bio-marker for feed efficiency in pigs.” Animal Industry Report: AS 662, ASL R3117.  Available at http://lib.dr.iastate.edu/ans_air/vol662/iss1/78/.

 

Seminars, Presentations and Talks to Outside Bodies

 

 

Software Development

 

 

Theses

Ferdosi, M (2016). Efficient algorithms for using genotypic data.  PhD Thesis, UNE.