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Sinead McParland
Sinead McParland
Research Officer | Quantitative Genetics
Verified email at teagasc.ie
Title
Cited by
Cited by
Year
Runs of homozygosity and population history in cattle
DC Purfield, DP Berry, S McParland, DG Bradley
BMC genetics 13, 1-11, 2012
5852012
Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries
H Soyeurt, F Dehareng, N Gengler, S McParland, E Wall, DP Berry, ...
Journal of dairy science 94 (4), 1657-1667, 2011
3342011
Inbreeding effects on milk production, calving performance, fertility and conformation in Irish Holstein-Friesians
sinead mc parland, kearney berry, rath
Journal of dairy science 90 (9), 4411-4419, 2007
2762007
The distribution of runs of homozygosity and selection signatures in six commercial meat sheep breeds
DC Purfield, S McParland, E Wall, DP Berry
PloS one 12 (5), e0176780, 2017
2422017
Detection of selection signatures in dairy and beef cattle using high-density genomic information
F Zhao, S McParland, F Kearney, L Du, DP Berry
Genetics Selection Evolution 47, 1-12, 2015
2302015
Inbreeding trends and pedigree analysis of Irish dairy and beef cattle populations
S Mc Parland, JF Kearney, M Rath, DP Berry
Journal of animal science 85 (2), 322-331, 2007
2292007
The use of mid-infrared spectrometry to predict body energy status of Holstein cows
S McParland, G Banos, E Wall, MP Coffey, H Soyeurt, RF Veerkamp, ...
Journal of Dairy Science 94 (7), 3651-3661, 2011
1352011
Mid-infrared spectrometry of milk as a predictor of energy intake and efficiency in lactating dairy cows
S McParland, E Lewis, E Kennedy, SG Moore, B McCarthy, M O’Donovan, ...
Journal of Dairy Science 97 (9), 5863-5871, 2014
1302014
Purging of inbreeding depression within the Irish Holstein-Friesian population
S Mc Parland, F Kearney, DP Berry
Genetics Selection Evolution 41, 1-8, 2009
1102009
Evaluation of bull fertility in dairy and beef cattle using cow field data
Berry, M Parland, Evans
Theriogenology 75, 172-181, 2011
1052011
Prediction of individual milk proteins including free amino acids in bovine milk using mid-infrared spectroscopy and their correlations with milk processing characteristics
A McDermott, G Visentin, M De Marchi, DP Berry, MA Fenelon, ...
Journal of Dairy Science 99 (4), 3171-3182, 2016
1042016
Hot topic: Innovative lactation-stage-dependent prediction of methane emissions from milk mid-infrared spectra
A Vanlierde, ML Vanrobays, F Dehareng, E Froidmont, H Soyeurt, ...
Journal of Dairy Science 98 (8), 5740-5747, 2015
1042015
Machine learning algorithms for the prediction of conception success to a given insemination in lactating dairy cows
K Hempstalk, S McParland, DP Berry
Journal of dairy science 98 (8), 5262-5273, 2015
922015
Mid-infrared prediction of lactoferrin content in bovine milk: potential indicator of mastitis
H Soyeurt, C Bastin, FG Colinet, VMR Arnould, DP Berry, E Wall, ...
Animal 6 (11), 1830-1838, 2012
882012
Prediction of bovine milk technological traits from mid-infrared spectroscopy analysis in dairy cows
G Visentin, A McDermott, S McParland, DP Berry, OA Kenny, A Brodkorb, ...
Journal of Dairy Science 98 (9), 6620-6629, 2015
832015
Validation of mid-infrared spectrometry in milk for predicting body energy status in Holstein-Friesian cows
S McParland, G Banos, B McCarthy, E Lewis, MP Coffey, B O’neill, ...
Journal of Dairy Science 95 (12), 7225-7235, 2012
782012
Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods
M Frizzarin, IC Gormley, DP Berry, TB Murphy, A Casa, A Lynch, ...
Journal of Dairy Science 104 (7), 7438-7447, 2021
682021
The potential of Fourier transform infrared spectroscopy of milk samples to predict energy intake and efficiency in dairy cows
S McParland, DP Berry
Journal of Dairy Science 99 (5), 4056-4070, 2016
682016
Effectiveness of mid-infrared spectroscopy to predict the color of bovine milk and the relationship between milk color and traditional milk quality traits
A McDermott, G Visentin, S McParland, DP Berry, MA Fenelon, ...
Journal of dairy science 99 (5), 3267-3273, 2016
592016
Milk mid-infrared spectra enable prediction of lactation-stage-dependent methane emissions of dairy cattle within routine population-scale milk recording schemes
A Vanlierde, ML Vanrobays, N Gengler, P Dardenne, E Froidmont, ...
Animal Production Science 56 (3), 258-264, 2016
592016
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