@conference {3672,
	title = {BRIEF COMMUNICATION: Developing genomic tools in the New Zealand Deer Industry},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {75},
	year = {2015},
	month = {07/2015},
	pages = {91-93},
	address = {Dunedin},
	abstract = { },
	issn = {1176-5283},
	author = {Rowe SJ and Clarke SM and Van Stijn TC and Hyndman DL and Ward JF and McEwan KM and Dodds KG and McEwan JC and Newman S-AN and Asher GW}
}
@conference {79008,
	title = {Potential for genomic selection of bovine embryos},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {72},
	year = {2012},
	month = {Jan},
	pages = {156-158},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	address = {Christchurch},
	abstract = {Sexual reproduction is a genetic lottery. There is no guarantee that offspring receive a favourable combination of genes from their parents to form their genotype. For animal breeding, the conventional way of selection has been based on phenotyping adults or their progeny. Increasingly, however, dairy cattle breeding schemes are integrating the use of genomic selection of juvenile and adult candidates (Hayes et al. 2009; Pryce et al. 2010). To further increase the intensity of selection and accelerate the rate of genetic gain, we aim to genomically select bovine embryos within one week after in vitro fertilisation (IVF) using gametes from elite parents. The generation of multiple embryos from multi-factorial ... continued},
	issn = {1176-5283},
	author = {Fisher PJ and Hyndman DL and Bixley MJ and Oback FC and Popovic L and McGowan LT and Berg MC}
}
@conference {42057,
	title = {Testing for quantitative trait loci for lactation persistency in dairy cattle},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {68},
	year = {2008},
	month = {Jan},
	pages = {107-110},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	address = {Brisbane, Australia},
	abstract = {Lactational persistency has not been selected for in New Zealand dairy populations. Existing milk production data and pedigrees from New Zealand Holstein-Friesian cattle at pasture, recorded in the Livestock Improvement Corporation database were utilized with a grand-daughter design, for a genome-wide search for a quantitative trait locus for persistency of lactation. Persistency was defined as a weighted sum of test-day yields. A significant region was identified in one grandsire family on Chromosome 3 at microsatellite marker position AGLA247 (chromosomal position 67cM; P <0.05). To verify this result, data from a research dairy herd defining persistency as the mean of three weekly tests of daily yield in March (late lactation) divided by the equivalent daily yields in October (early lactation)) for three seasons beginning in 1997/98 were used in a phenotypic association study on Chromosome 3 only. One allele of marker HUJ246, close to the original region appeared to show an additive effect. The maximal difference between this genotype and the others at this marker locus was 12.3 {\textpm} 4.4\% of the mean persistency. The potential use of this marker in the New Zealand dairy cattle population depends on the current allele frequencies in the industry. },
	issn = {1176-5283},
	author = {Morris CA and Spelman RJ and Henderson HV and Cullen NG and Hyndman DL and Miller FM and Johnson DL and Molenaar AJ and Grigor MR and Davis SR}
}
@conference {41173,
	title = {Preliminary beef carcass composition data from breed-crosses in a genetic marker trial},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {60},
	year = {2000},
	month = {Jan},
	pages = {113-114},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	address = {Hamilton},
	abstract = {A collaborative project has been established in AgResearch and at the University of Adelaide to identify genetic markersfor carcass composition and meat quality traits in beef cattle. Two extreme breeds were used, Jersey (J) and Limousin (L).First-cross Jersey x Limousin bulls (X) were mated to cows of both breeds to produce three-quarter Jersey (XJ) and threequarter Limousin (XL) animals. A total of 261 and 155 back-cross cattle of both sexes were slaughtered as 2-year-olds atRuakura in the springs of 1998 and 1999, respectively. A further 400 cattle of the same back-crosses are under evaluationin Australia. Relative to the mean off-pasture weight and hot carcass weight of the XJ cattle slaughtered at Ruakura in1998 (404 and 202 kg), the corresponding XL means were 472 and 262 kg respectively, 1.8 and 2.6 phenotypic standarddeviations (s.d.) heavier. A series of carcass composition traits was obtained from the weights of saleable meat, trimmedfat and bone from individual joints on the right side of each animal, after 24 h in the chiller. Over all joints, the weights ofmeat, fat and bone (as a \% of their total) were 66.6, 9.6 and 23.8 for XJ and 71.7, 7.1 and 21.2 for XL, representingdifferences of 2.8, 1.4 and 2.2 s.d. units respectively. Weights of high value cuts (\% of side weight) were 50.4 for XJ and52.7 for XL, a 2.3 s.d. difference. Ratios of meat to bone were 2.80 for XJ and 3.93 for XL, a 5.5 s.d. difference. Standarderrors of all the above differences in s.d. units were 0.16. The largest differences between the two breed crosses for theabove traits were 2.8 and 5.5 s.d, for meat percent in the side, and for meat to bone ratio, providing good opportunities forgenetic marker studies. In the AgResearch animals, consisting of progeny from three sire groups, markers from over halfof the genome have been analysed so far. A significant marker has been identified for meat percent in the side. The twoinformative sires had the same genotype for this marker, and the difference between sire-derived alleles in their effect onmeat percent averaged 0.99 s.d. (F statistic for each sire, 45.47 and 8.84).},
	issn = {1176-5283},
	author = {Morris CA and Cullen NG and Bottema CDK and Crawford AM and Hyndman DL and Pitchford WS}
}
