S. McParland - Concepedia

Author

S. McParland

Teagasc - The Irish Agriculture and Food Development Authority ORCID

Also Known As

McParland, S., S McParland, S. McParland, S. Mcparland, Sinead McParland, Sinéad McParland, Soyeurt, Hélène

Publications

3.5K

Citations

H-Index

Concepts

All Affiliations

Teagasc - The Irish Agriculture and Food Development Authority University of Padua Gembloux Agro-Bio Tech University College Dublin University of Liège

About

S. McParland is an author at Teagasc - The Irish Agriculture and Food Development Authority specializing in animal science, public health, and agricultural economics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	6	6	498
2	Health Sciences	2	2	50
3	Education	1	1	44
4	Engineering	1	1	44
5	Natural Sciences	1	1	317

S. McParland

Publications

3.3K

Citations

H-Index

Page 1

	Year	Citations
Runs of homozygosity and population history in cattle Deirdre C. Purfield, D.P. Berry, S. McParland, BMC Genetics	2012	647
The distribution of runs of homozygosity and selection signatures in six commercial meat sheep breeds Deirdre C. Purfield, S. McParland, E. Wall, PLoS ONE GeneticsSelection SignaturesGenomic SelectionGenomicsAnimal Genetics	2017	317
Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries Hélène Soyeurt, Frédéric Dehareng, Nicolas Gengler, Journal of Dairy Science	2011	291
Detection of selection signatures in dairy and beef cattle using high-density genomic information Fuping Zhao, S. McParland, F. Kearney, Genetics Selection Evolution	2015	211
Mid-infrared spectrometry of milk as a predictor of energy intake and efficiency in lactating dairy cows S. McParland, E. Lewis, E. Kennedy, Journal of Dairy Science	2014	113
The use of mid-infrared spectrometry to predict body energy status of Holstein cows S. McParland, Georgios Banos, E. Wall, Journal of Dairy Science	2011	109
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, Giulio Visentin, Massimo De Marchi, Journal of Dairy Science	2016	101
Hot topic: Innovative lactation-stage-dependent prediction of methane emissions from milk mid-infrared spectra Amélie Vanlierde, Marie-Laure Vanrobays, Frédéric Dehareng, Journal of Dairy Science NutritionGreenhouse Gas EmissionPrecision DairyMilk Mid-infrared SpectraMilk Mir Spectra	2015	93
Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods Maria Frizzarin, Isobel Claire Gormley, D.P. Berry, Journal of Dairy Science	2021	88
Machine learning algorithms for the prediction of conception success to a given insemination in lactating dairy cows Kathryn Hempstalk, S. McParland, D.P. Berry Journal of Dairy Science	2015	82

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