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.
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.
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.
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: 0.2527/jas.2016-0665.
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; 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.
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/.
Ferdosi, M (2016). Efficient algorithms for using genotypic data. PhD Thesis, UNE.