@conference {41099,
	title = {The importance of date of birth records in genetic evaluation of deer},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {59},
	year = {1999},
	month = {Jan},
	pages = {129-130},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {This paper addresses one particular difficulty associated with performance recording and genetic evaluation of deer, that is, the
problem of recording pedigrees. A deterministic simulation was carried out using parameters based on deer populations where birthday has been recorded. For weaning weight, failure to record birth date resulted in reductions by 29\% and 19\% in selection accuracy, with selection on the records from the individual or from 20 progeny respectively. Corresponding reductions for yearling weight were 11\% and 5\% respectively. It was concluded that while genetic progress in deer will be compromised by lack of date of birth records, selection for growth traits can still be effective.},
	issn = {1176-5283},
	author = {Amer P and Garrick D and Nicoll G}
}
@conference {40971,
	title = {Experimental designs for Quantitative Trait Loci detection in the New Zealand dairy industry},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {58},
	year = {1998},
	month = {Jan},
	pages = {6-9},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {Detection of loci that affect quantitative traits such as milk production has been undertaken with daughter and
granddaughter designs in the N.Z. dairy industry. Two other experimental designs, selective DNA pooling of trait
extremes and the use of first cross Holstein-Friesian{\textendash}Jersey bulls, offer the opportunity to detect more loci than the current
two designs. Selective DNA pooling involves the collective pooling of DNA from daughters at each extreme (high and
low) of the trait distribution. A sire family of 100,000 daughters with DNA pools created from the top and bottom 1\%
of progeny pooled has the same power (probability of detection) as approximately 5,000 progeny being individually
genotyped with less than 1\% genotyping effort. Crossbreeding in the New Zealand dairy industry opens up the opportunity
to identify QTL alleles that contribute to the genetic differences between the two breeds. Identification of breed specific
QTL alleles can be achieved at a power of 90\% based on some 600-1500 progeny from matings of F1 Holstein-Friesian
x Jersey bulls to F1 cows.},
	issn = {1176-5283},
	author = {Spelman R and Lopez-Villalobos N and Garrick D}
}
