@conference {3678,
	title = {BRIEF COMMUNICATION: Reducing the risk of photosensitisation in dairy cattle undergoing a facial eczema challenge},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {74},
	year = {2014},
	month = {06/2014},
	pages = {158-160},
	address = {Napier},
	abstract = {Facial eczema (FE) is primarily a liver disease of ruminants that is caused by the ingestion of the toxin sporidesmin which is produced by spores of the fungus, Pithomyces chartarum. The liver and bile-duct injury may be monitored with a non-specific indicator, gamma-glutamyltransferase (GGT; Morris et al. (1990)). Dairy cattle may be assessed for their tolerance/susceptibility to sporidesmin by measuring their GGT activities in blood, about three weeks after a sporidesmin challenge. Under these conditions, logeGGT is heritable (0.34 {\textpm} 0.02), according to Cullen et al. (2011)...},
	issn = {1176-5283},
	author = {Cullen NG and Beatson PR and Lee RSF and Dobbie PM and Morris CA}
}
@conference {40816,
	title = {Prediction of carcass tissue weight in vivo using live weight, ultrasound or X-ray CT measurements},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {56},
	year = {1996},
	month = {Jan},
	pages = {205-211},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {Twenty-one Dorset Down ewe hoggets (49.4kg body weight, 9months  old) were scanned by ultrasound and X-ray computer tomography (CT).  Total carcass tissue (fat, muscle and bone) weights were assessed by the  Cavalieri procedure from 16-18 CT slices per animal. Additional CT slices  were taken at four anatomical reference sites; 7th thoracic (TV7), 2nd  lumbar and 5th lumbar vertebrae (LV5), and mid-shaft of the femur.  Subcutaneous fat depth and muscle depth were assessed over the last rib  using ultrasound. Body weight, ultrasound measurements and reference slice  carcass tissue areas were used to predict total carcass tissue weights by  multiple regression techniques. In combination with BW, single CT slices predicted tissue weight more  accurately than ultrasound measurements with BW for fat (R2=72-84\% vs.  63\%) but not for muscle (R2=79-87\% vs. 83\%) or bone (R2=62-66\% vs.  65\%). The best combination of two CT slices was TV7 \& LV5. In  combination with BW these improved prediction accuracy further (fat,  R2=92\%, muscle, R2=91\%, bone, R2=71\%). It is possible that data from a single CT slice predict carcass tissue weight  less accurately than expected due to anatomical registration errors despite  CT producing better quality images than ultrasound. These errors are  attributed to scanning protocol constraints for CT equipment.  Two or more CT slices need to be scanned in order to predict tissue weight  more accurately than ultrasound.},
	issn = {1176-5283},
	author = {Young MJ and Nsoso SJ and Logan CM and Beatson PR}
}
@conference {40663,
	title = {Wool yellowing susceptibility: Heritability, genetic and phonotypic correlations with productive traits in Australian Merino, Corriedale and New Zealand Romney sheep},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {55},
	year = {1995},
	month = {Jan},
	pages = {45},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {Forty-two identical twinsets were milked either once (ODM) or twice  (TDM) daily and offered pasture and silage, either to appetite (H) or  restricted to 50-60\% of this level (L) for the last 5 weeks of the 93/94  season. Pretreatment, uninfected cows produced 8.45+/-0.28 1 milk/d  (mean +/- S.E) with a mean somatic cell count (SCC) of 37.1+/-3.3 x  10/3 cells/ml). Milk yields were significantly reduced (P<0.001) by L  nutrition and by ODM. LogSCC was significantly increased (P<0.05) by L  nutrition, due to reduced milk volumes but was not affected by ODM.  Concentration of the serum-derived proteins, immunoglobulin G and bovine  serum albumin, increased significantly for L nutrition and ODM. This  suggests that involution had been accelerated in these animals, whose  average daily milk yield was below 5 1/d. In late lactation milking  should be discontinued for cows with milk yields of less than 5 1/d as  involution may be initiated below this yield.   },
	issn = {1176-5283},
	author = {Benavides MV and Young MY and Beatson PR and Maher AP and Reid TC}
}
@conference {40611,
	title = {Genetic and phenotypic parameters associated with lean tissue growth in Dorset Down sheep},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {54},
	year = {1994},
	month = {Jan},
	pages = {251-254},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {Genetic and phenotypic parameter estimates were derived from  
performance data collected over nine years for the Lincoln University Dorset  
Down flock.  Data were for animals born each spring and run at pasture.  Ewes  
(n=922) were measured in autumn and rams (n=819) in winter.  Measurements  
were live weight and <I>in vivo</I> fat and muscle depths. 
 
Genetic and phenotypic parameters were estimated using multi-variate  
AIREML analyses by fitting an individual animal model with animal as a  
random effect, birth rank, age of dam and year of birth as fixed effects  
and age at measurement as a covariate.  Multi-variate heritability estimates  
({\textpm} s.e.) for live weight, fat and muscle depths were 0.42 ({\textpm}0.04), and 0.30({\textpm}0.05)  
for rams and 0.26({\textpm}0.01), 0.20({\textpm}0.05) and 0.13({\textpm}0.03) for ewes respectively.   
Estimates of genetic correlations were generally moderate to high for the two  
sexes.  The genetic correlation between live weight and fat depth was significantly  
different for the two sexes, with rams (0.42{\textpm}0.10) having a higher value than  
ewes (0.24{\textpm}0.02).  Phenotypic correlations differed between the sexes, with  
estimates for ewes being slightly higher.  For both sexes, parameter estimates  
were different from those used to derive the indices used to select for lean  
tissue growth, ram estimates being consistently higher while those for ewes  
were more equivocal. },
	issn = {1176-5283},
	author = {Nsoso SJ and Young MJ and Beatson PR and Bell ST}
}
@conference {40612,
	title = {Responses to selection for lean tissue growth in Dorset Down sheep},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {54},
	year = {1994},
	month = {Jan},
	pages = {255-260},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {Responses to selection using a lean tissue growth index were estimated  
from performance data of the Lincoln University Dorset Down flock.  Data  
were available for ewes (n=922) born in the years 1984 - 1991 and rams  
(n=816) born in 1984 - 1992.  Data were from two closed lines, one control and  
the other selected for high lean tissue growth.  Initially selection was on the  
basis of an index comprising measurements of live weight and fat depth.   
Subsequently muscle depth was incorporated into the index.  Ewes and rams  
born in spring each year were run separately at pasture from weaning (late  
summer) onwards.  Performance testing was in the following autumn for ewes  
and winter for rams.  Measurements were live weight and <I>in vivo</I> ultrasonic 
fat and muscle depths.  Responses were calculated from regression of the  
difference between the line means for breeding value against time.  Breeding  
value estimates were derived by AIREML analyses. 
 
Both sexes exhibited desirable responses in all component traits: rams;  
+0.290kg/yr, +0.019mm/yr and -0.013mm/yr and ewes; +0.154kg/yr,  
+0.028mm/yr and -0.028mm/yr for live weight, muscle and fat depths  
respectively.  Increases in muscle depth occurred after it was incorporated  
into the selection index. },
	issn = {1176-5283},
	author = {Nsoso SJ and Beatson PR and Young MJ and Logan CM}
}
@conference {40184,
	title = {Effects of nutrition and shearing during pregnancy on birth weight in highly fecund Booroola-cross sheep},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {49},
	year = {1989},
	month = {Jan},
	pages = {285-290},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {Current views and recent research findings on the plant   characteristics influencing (a) herbage production and tolerance of   grazing and (b) herbage intake and nutritive value, are reviewed and   used to define desirable plant ideotypes for grazing systems. The   conflict of interest between physical and physiological characteristics   conferring high production and consumption potential on the one hand,   and flexibility of production and grazing tolerance on the other, is   emphasised.     Current progress in and future prospects for the improvement of plants   for grazing systems are discussed briefly, with reference to the   potential for using mass selection and genetic engineering techniques in   the modification of physical and biochemical characteristics. The need   for objectivity in screening and evaluation programmes is discussed.    },
	issn = {1176-5283},
	author = {Orleans-Pobee J and Beatson PR}
}
@conference {40084,
	title = {A comparison of ultrasound backfat measurements on sheep},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {48},
	year = {1988},
	month = {Jan},
	pages = {33-36},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {Mating records from Dairy Board files for 1984 were analysed. First inseminations with liquid semen were considered, and the effect of several factors on conception analysed. Conception was scored as 1 if a calving occurred 272 to 293d after insemination, and 0 if a calving occurred outside that interval. Only records from animals with a known calving date were included. The data were analysed by linear model techniques, with conception as a dependent variable. The factors contributing to variation in conception were (in order of declining importance): herd, technician, post-partum interval, service sire and age of cow. The R2 was 0.072 indicating that most of the variation is caused by binomial error.},
	issn = {1176-5283},
	author = {Nicol AM and Jay NP and Beatson PR}
}
@conference {40000,
	title = {Genetic and environmental sources of variation in hogget fleece weight and live weight in Coopworth sheep},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {46},
	year = {1986},
	month = {Jan},
	pages = {87-92},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {Production systems in France are variable with many localised and adapted breeds, spread among small flocks lambing at different times of the year. In these ways, specialised selection schemes of varying importance and complexity including those designed for improvement of milk production and for out-of-season breeding have been developed. Selection objectives for dairy production concentrate upon milk production with recent attention to total solids content. For meat sheep, lamb production per ewe is important for competitive efficiency. Number of lambs and maternal contribution to lamb survival and lamb growth during suckling are important for the suckling breeds in the South and the improved breeds in easier conditions in the North, the latter also receiving emphasis on later lamb growth and carcass quality. Selection programmes are highly organised nationally under the data- processing control of INRA and the national co-ordination of ITOVIC. Twenty Breed Promotion Committees (UPRA{\textquoteright}s), 77 Professional Advisory Organisations (EDE{\textquoteright}s) and 11 Data Processing Associations (CRI{\textquoteright}s) are involved with a well-structured relationship among them. Selection schemes use different tools to give emphasis to dissemination of genetic merit in addition to ranking animals for breeding worth. The National Recording Scheme provides the common essential ingredient for all schemes. Animal information embraces natural oestrus or induced oestrus, litter size and live weight of lambs. Maternal pedigree is always recorded at birth while paternal pedigree is known if single-sire natural mating or AI is used. Electronic development is being introduced to assist automated collection of live weights and early provision of on-farm flock summaries. AI is used to assist genetic improvement over about 200 000 ewes, mainly dairy breeds. It allows superior ewes to remain on farms - it is estimated that in this way Ai can increase genetic progress by up to 30\%. AI also avoids the need for centralised progeny testing and assists the gene dissemination from superior rams. Nucleus flocks are promoted as centres of gene dissemination only for scarce breeds and for those with very small flock size. Rearing of rams in a central location gives breeding schemes greater control over gene dissemination and organisation of elite matings, especially through AI. Considerable emphasis is given to this aspect of the French breeding programme to ensure effective gene flow for production of the next generation of sires. Central testing stations are also used, mainly to evaluate young meat breed rams which are the progeny of elite matings for growth and carcass merit in a standard environment and as a baseline for live animal performance assessment. Not all the schemes use the same tools in the same way. Breeder commitment and co-operation is nevertheless an important ingredient of the effectiveness in each case.},
	issn = {1176-5283},
	author = {Warmington BG and Beatson PR}
}
@conference {39966,
	title = {Ewe maternal behaviour score and lamb survival},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {45},
	year = {1985},
	month = {Jan},
	pages = {159-162},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	abstract = {Data on live weight (LW) and condition score (CS) were collected in a large scale breed evaluation at Goudies (Department of Lands and Survey, Rotorua). The LW data were obtained 4 times a year; the CS data on a 1 to 10 scale similar to the Ellinbank scale (10 fattest), were obtained on 7 occasions from April 1982 to February 1984. Seven breed groups, 5 2-breed crosses and 2 straightbreds (Angus and Herefords), were compared. The crosses were Hereford-Angus (HA, including its reciprocal), South Devon-Angus (Sd.A), Friesian-Angus (FA), Friesian- Hereford (FH) and Jersey-Angus (JA). Breed differences for LW and CS were reasonably consistent between years or seasons, in spite of large year effects and significant breed x age interactions. The CS means for JA, FA and FH were 0.9, 0.5 and 0.6 units less than for Angus cows, which in turn were 0.3 and 0.7 units lower than HA and Herefords respectively. The scores of Sd.A cows were near the average of the 7 groups together, but they were heaviest, being 22 kg above the herd mean.  It is suggested on the basis of this evidence that using the same target for LW or CS for different breed crosses is unrealistic. Within breed and age groups, the correlation between August and November CS was 0.43. The equivalent figure for LW was 0.84. For each unit increase in CS, LW rose by 25.2 kg (r=0.53, range 0.42 to 0.60 on different recording occasions.},
	issn = {1176-5283},
	author = {O{\textquoteright}Connor CE and Jay NP and Nicol AM and Beatson PR}
}
@conference {39471,
	title = {Progeny testing Angus and Hereford bulls for growth performance},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {35},
	year = {1975},
	month = {Jan},
	pages = {103-111},
	publisher = {New Zealand Society of Animal Production},
	organization = {New Zealand Society of Animal Production},
	issn = {1176-5283},
	author = {Baker RL and Carter AH and Beatson PR}
}
