2019 - J. L. Lush Award in Animal Breeding, American Dairy Science Association
2018 - Journal of Dairy Science Highly Cited Awards, American Dairy Science Association
Nicolas Gengler focuses on Animal science, Lactation, Dairy cattle, Heritability and Biotechnology. His Animal science study focuses mostly on Herd and Breed. His Herd research focuses on Fatty acid and how it relates to Food science, Bovine milk and Nutritional quality.
His studies in Lactation integrate themes in fields like Endocrinology and Internal medicine. His Dairy cattle study integrates concerns from other disciplines, such as Respiration chamber, Ecology and Polymorphism. His Heritability study combines topics from a wide range of disciplines, such as Variance, Statistics, Genetic variability and Genetic correlation.
His scientific interests lie mostly in Animal science, Dairy cattle, Statistics, Lactation and Mid infrared. His work deals with themes such as Ice calving, Genetic correlation, Parity and Heritability, which intersect with Animal science. Nicolas Gengler has researched Heritability in several fields, including Breed, Genetic variability and Genetic variation.
In Dairy cattle, he works on issues like Biotechnology, which are connected to Animal breeding. His Statistics research is multidisciplinary, incorporating elements of Variance and Test day. His Lactation study deals with Fatty acid intersecting with Food science and Mid infrared spectrometry.
His primary areas of investigation include Animal science, Mid infrared, Dairy cattle, Lactation and Statistics. His Herd study in the realm of Animal science connects with subjects such as Trait. Nicolas Gengler combines subjects such as Ecology, Dairy industry, Agronomy and Physiology with his study of Dairy cattle.
While the research belongs to areas of Lactation, Nicolas Gengler spends his time largely on the problem of Fatty acid, intersecting his research to questions surrounding Phenotype. His studies deal with areas such as External validation, Residual and Correlation as well as Statistics. His work on Heritability expands to the thematically related Genetic correlation.
His main research concerns Animal science, Lactation, Dairy cattle, Mid infrared and Biotechnology. Nicolas Gengler has included themes like Methane emissions, Coefficient of determination, Partial least squares regression and Standard deviation in his Animal science study. His Lactation research includes elements of Biomarker, Herd, Phenotype and Fatty acid.
His Fatty acid research incorporates elements of Genetics and Mastitis. Nicolas Gengler works mostly in the field of Dairy cattle, limiting it down to topics relating to Milk yield and, in certain cases, Variance components, Ecology, Enteric methane and Carbon footprint. His biological study spans a wide range of topics, including Heritability, Honey bee and Sire.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Estimating Fatty Acid Content in Cow Milk using Mid-Infrared Spectrometry
Hélène Soyeurt;Pierre Dardenne;Frédéric Dehareng;Georges Lognay.
Journal of Dairy Science (2006)
Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries.
Hélène Soyeurt;Frédéric Dehareng;Nicolas Gengler;Sinead McParland.
Journal of Dairy Science (2011)
Pit-1 gene polymorphism, milk yield, and conformation traits for Italian Holstein-Friesian bulls
Robert Renaville;Nicolas Gengler;E. Vrech;A. Prandi.
Journal of Dairy Science (1997)
Variation in Fatty Acid Contents of Milk and Milk Fat Within and Across Breeds
Hélène Soyeurt;Pierre Dardenne;Alain Gillon;Coraline Croquet.
Journal of Dairy Science (2006)
Invited review: overview of new traits and phenotyping strategies in dairy cattle with a focus on functional traits
Christa Egger-Danner;J. B. Cole;J. E. Pryce;N. Gengler.
Evaluation of heat stress effects on production traits and somatic cell score of Holsteins in a temperate environment.
Hedi Hammami;Hedi Hammami;Jeanne Bormann;Naceur M'Hamdi;Horacio Hugo Montaldo.
Journal of Dairy Science (2013)
Persistency of lactation yields: a review
Interbull Bulletin (1996)
A simple method to approximate gene content in large pedigree populations: application to the myostatin gene in dual-purpose Belgian Blue cattle
Nicolas Gengler;P. Mayeres;M. Szydlowski.
Estimation of heritability and genetic correlations for the major fatty acids in bovine milk.
Hélène Soyeurt;Alain Gillon;Sylvie Vanderick;Patrick Mayeres.
Journal of Dairy Science (2007)
Relationships of Polymorphisms for Growth Hormone and Growth Hormone Receptor Genes with Milk Production Traits for Italian Holstein-Friesian Bulls
M. Falaki;Nicolas Gengler;M. Sneyers;A. Prandi.
Journal of Dairy Science (1996)
Profile was last updated on December 6th, 2021.
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