@conference {40383,
	title = {Nutrient supply for lamb growth from Grasslands Puna chicory (Cichorium intybus) and Wana cocksfoot (Dactylis glomerata)},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {52},
	year = {1992},
	month = {Jan},
	pages = {85-88},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {The long-term success of any recording scheme depends on access  to a genetically-structured database of performance records. Ram  breeders in New Zealand have indicated preference for a system providing  within-flock breeding value prediction via on-farm personal computers or  through commercial bureaux on a regional level. This paper describes  recent developments in industry structure in relation to animal  evaluation and access to field data for research.   Ram buyers, breeders and extension agents all benefit from consistent  techniques for calculating and summarising the breeding worth of  animals. The within-flock methodology prototyped in Animalplan has now  been used to form the basis of a "genetic engine", available under  licence, for incorporation into commercial programmes with database and  reporting capabilities.   Across-flock genetic evaluation (e.g. sire reference analyses) may  require access to information from a number of distributed databases. A  national identification system which recognises animals used in flocks  other than their birth flock is re-requisite to analysis. The National  Database has been initiated to ensure the integrity of data and to  safeguard such pedigree and performance records for a wide variety of  purposes. It will be updated annually to provide a single source for  across-flock Best Linear Unbiased Prediction (BLUP) evaluation.   The provision of the National Database ensures continued access to field  data for animal breeding and other applied research. Genetic  development of the scheme will come from improved specification of the  production model (e.g. new traits and indicators of non-genetic effects)  and from improve statistical approaches (e.g. BLUP and estimates of  distributed parameters), all requiring access to and analysis of large  bodies of genetically-structured field data.  },
	issn = {1176-5283},
	author = {Komolong K and Nicol AM and Poppi DP and Fraser TJ and Kirsopp S}
}
