M. Haile-Mariam

发表

Symposium review: Genomic selection for reducing environmental impact and adapting to climate change.

J. Pryce, M. Haile-Mariam, 2020, Journal of dairy science.

Improving the reliability of female fertility breeding values using type and milk yield traits that predict energy status in Australian Holstein cattle.

O. González-Recio, J. Pryce, M. Haile-Mariam, 2016, Journal of dairy science.

Calculation of lifetime net income per year (LTNI/year) of Australian Holstein cows to validate the Australian profit ranking of their sires. 1. Genetic analyses and prediction of LTNI/year for cows still in the herd

M. Goddard, P. Bowman, M. Haile-Mariam, 2010 .

Preliminary genetic analyses of voluntarily supplied disease data in Australian dairy herds

M. Goddard, M. Haile-Mariam, 2010 .

Estimates of genetic and environmental trends of growth traits in Boran cattle

M. Haile-Mariam, J. Philipson, 1996 .

Genetic analyses of fertility and predictor traits in Holstein herds with low and high mean calving intervals and in Jersey herds.

P. Bowman, J. Pryce, M. Haile-Mariam, 2013, Journal of dairy science.

Genetic and environmental correlations between test-day somatic cell count and milk yield traits

M. Goddard, P. Bowman, M. Haile-Mariam, 2001 .

Productivity of Boran cattle and their Friesian crosses at Abernossa Ranch, rift valley of Ethiopia. I. Reproductive performance and pre-weaning mortality

M. Haile-Mariam, K. Banjaw, T. Gebre-Meskel, 1993, Tropical Animal Health and Production.

Prediction of liveweight of cows from type traits and its relationship with production and fitness traits.

O. González-Recio, J. Pryce, M. Haile-Mariam, 2014, Journal of dairy science.

Estimates of genetic parameters for daily somatic cell count of Australian dairy cattle.

M. Goddard, P. Bowman, M. Haile-Mariam, 2001, Journal of dairy science.

Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populations

B. Hayes, C. Maltecca, J. Pryce, 2015, BMC Genomics.

Improving Genomic Prediction of Crossbred and Purebred Dairy Cattle

Erica G. Jewell, C. Schrooten, M. Goddard, 2020, Frontiers in Genetics.

Prevalence of congenital hereditary sensorineural deafness in Australian Cattle Dogs and associations with coat characteristics and sex

J. Morton, J. Seddon, M. Haile-Mariam, 2012, BMC Veterinary Research.

Improving Genomic Selection for Heat Tolerance in Dairy Cattle: Current Opportunities and Future Directions

B. Cocks, J. Pryce, M. Haile-Mariam, 2022, Frontiers in Genetics.

BayesR3 enables fast MCMC blocked processing for largescale multi-trait genomic prediction and QTN mapping analysis

M. Goddard, H. Daetwyler, J. Pryce, 2022, Communications Biology.

Genetic and environmental relationship among calving interval, survival, persistency of milk yield and somatic cell count in dairy cattle

M. Goddard, P. Bowman, M. Haile-Mariam, 2003 .

Including overseas performance information in genomic evaluations of Australian dairy cattle.

C. Schrooten, B. Hayes, J. Pryce, 2015, Journal of dairy science.

Genetic parameters for mid-infrared spectroscopy–predicted fertility

J. Pryce, I. van den Berg, P. Ho, 2021, JDS communications.

Components of the covariances between reproductive performance traits and milk protein concentration and milk yield in dairy cows.

J. Morton, J. Pryce, M. Haile-Mariam, 2018, Journal of dairy science.

Variances and correlations of milk production, fertility, longevity, and type traits over time in Australian Holstein cattle.

J. Pryce, M. Haile-Mariam, 2015, Journal of dairy science.

Genetic parameters of fertility traits and their correlation with production, type, workability, liveweight, survival index, and cell count

M. Goddard, P. Bowman, M. Haile-Mariam, 2004 .

Relationship between calf size at birth with its own and its dam’s performance in Holstein cattle

J. Pryce, M. Haile-Mariam, 2018 .

Genetic markers for lactation persistency in primiparous Australian dairy cows.

M. Goddard, B. Hayes, P. Bowman, 2010, Journal of dairy science.

Genetic parameters for health traits using data collected from genomic information nucleus herds.

J. Pryce, M. Haile-Mariam, M. Abdelsayed, 2017, Journal of dairy science.

Estimates of genetic parameters for fertility traits of Australian Holstein-Friesian cattle

M. Goddard, J. Morton, M. Haile-Mariam, 2003 .

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

I. M. MacLeod, B. J. Hayes, M. E. Goddard, 2016, BMC Genomics.

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

C. Schrooten, M. Goddard, B. Hayes, 2016, BMC Genomics.

Updated index weights for the Australian profit ranking in dairy cattle.

M. Goddard, B. Malcolm, J. Pryce, 2009 .

Calculation of lifetime net income per year (LTNI/year) of Australian Holstein cows to validate the Australian profit ranking of their sires. 2. Validation of the Australian profit ranking of sires and test for genotype by environment interaction based on LTNI/year.

M. Goddard, P. Bowman, M. Haile-Mariam, 2010 .

Estimates of direct and maternal (co)variance components of growth traits in Boran cattle

M. Haile-Mariam, H. Kassa-Mersha, 1995 .

Identification of genomic regions associated with inbreeding depression in Holstein and Jersey dairy cattle

M. Goddard, B. Hayes, J. Pryce, 2014, Genetics Selection Evolution.

Genetic and environmental effects on age at first calving and calving interval of naturally bred Boran (zebu) cows in Ethiopia

M. Haile-Mariam, H. Kassa-Mersha, 1994 .

689. Stillbirth, dystocia and weaning rates in Australian dairy calves

J. Pryce, M. Axford, M. Haile-Mariam, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Genomic selection for tolerance to heat stress in Australian dairy cattle.

B. Hayes, P. Bowman, J. Pryce, 2016, Journal of dairy science.

Using mid-infrared spectroscopy to increase GWAS power to detect QTL associated with blood urea nitrogen

J. Pryce, I. van den Berg, P. Ho, 2022, Genetics, selection, evolution : GSE.

GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle

J. Pryce, I. van den Berg, I. Macleod, 2022, Genetics, selection, evolution : GSE.

Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populations

B. Hayes, C. Maltecca, J. Pryce, 2015, BMC Genomics.

Identification of genomic regions associated with inbreeding depression in Holstein and Jersey dairy cattle

M. Goddard, B. Hayes, J. Pryce, 2014, Genetics Selection Evolution.

Genetic parameters for lactose and its correlation with other milk production traits and fitness traits in pasture-based production systems.

J. Pryce, M. Haile-Mariam, 2017, Journal of dairy science.

Genotype-by-environment (temperature-humidity) interaction of milk production traits in Australian Holstein cattle.

B. Cocks, J. Pryce, M. Haile-Mariam, 2019, Journal of dairy science.

Genotype by environment interaction for fertility, survival, and milk production traits in Australian dairy cattle.

M. Goddard, M. Haile-Mariam, M. Carrick, 2008, Journal of dairy science.

How genomic selection has increased rates of genetic gain and inbreeding in the Australian national herd, genomic information nucleus, and bulls.

B. Cocks, J. Pryce, M. Haile-Mariam, 2021, Journal of dairy science.

Advances in dairy cattle breeding to improve fertility/reproductive efficiency

J. Pryce, M. Haile-Mariam, AgriBio Australia Agriculture Victoria, 2019 .

Genetic and phenotypic parameters of lactations longer than 305 days (extended lactations).

M. Haile-Mariam, M. Goddard, 2008, Animal.

Use of insemination data for joint evaluation of male and female fertility in predominantly seasonal-calving dairy herds.

J. Pryce, M. Haile-Mariam, 2021, Journal of dairy science.

Short communication: Implementation of a breeding value for heat tolerance in Australian dairy cattle.

B. Hayes, P. Bowman, J. Pryce, 2017, Journal of dairy science.

Impact of hot weather on animal performance and genetic strategies to minimise the effect

L. Marett, J. Pryce, M. Haile-Mariam, 2022, Animal Production Science.

New loci and neuronal pathways for resilience to heat stress in cattle

B. Cocks, J. Pryce, R. Xiang, 2021, Scientific Reports.

A practical approach for minimising inbreeding and maximising genetic gain in dairy cattle

M. Goddard, P. Bowman, M. Haile-Mariam, 2007, Genetics Selection Evolution.

The effect of changing cow production and fitness traits on net income and greenhouse gas emissions from Australian dairy systems.

M. Bell, J. Pryce, R. Eckard, 2013, Journal of dairy science.

Incorporating heifer feed efficiency in the Australian selection index using genomic selection.

B. Hayes, O. González-Recio, J. Pryce, 2014, Journal of dairy science.

Value of sharing cow reference population between countries on reliability of genomic prediction for milk yield traits.

C. Schrooten, H. Daetwyler, J. Pryce, 2019, Journal of dairy science.

Comparison of heritabilities of dairy traits in Australian Holstein-Friesian cattle from genomic and pedigree data and implications for genomic evaluations.

B. Hayes, M. Haile-Mariam, G. Nieuwhof, 2013, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Functionally prioritised whole-genome sequence variants improve the accuracy of genomic prediction for heat tolerance

B. Cocks, R. Mrode, J. Pryce, 2021, Genetics, selection, evolution : GSE.

Comparison of heritabilities of dairy traits in Australian Holstein-Friesian cattle from genomic and pedigree data and implications for genomic evaluations: Implication of genomic heritability for genomic evaluation

B. Hayes, M. Haile-Mariam, G. Nieuwhof, 2012 .

New loci and neuronal pathways for resilience to heat stress in animals

B. Cocks, J. Pryce, R. Xiang, 2021, bioRxiv.

Improving the accuracy of predictions for cow survival by multivariate evaluation model

J. Pryce, M. Haile-Mariam, M. Khansefid, 2021, Animal Production Science.

Evaluating the potential impact of selection for the A2 milk allele on inbreeding and performance in Australian Holstein cattle

J. Pryce, R. Xiang, I. Macleod, 2023, Frontiers in Animal Science.

Investigation of regions impacting inbreeding depression and their association with the additive genetic effect for United States and Australia Jersey dairy cattle

C. Maltecca, J. Pryce, M. Haile-Mariam, 2015, BMC Genomics.

Machine learning approaches for the prediction of lameness in dairy cows.

J. Pryce, M. Haile-Mariam, M. Khansefid, 2021, Animal : an international journal of animal bioscience.

Incorporating heifer feed efficiency in the Australian selection index using genomic selection.

J. Pryce, M. Haile-Mariam, Ben J. Hayes, 2014, Journal of dairy science.

The use of milk mid-infrared spectroscopy to improve genomic prediction accuracy of serum biomarkers.

J. Pryce, S. Bolormaa, I. van den Berg, 2020, Journal of dairy science.

Genomic selection for tolerance to heat stress in Australian dairy cattle.

B. Hayes, P. Bowman, J. Pryce, 2016, Journal of dairy science.