World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
52
Citations
9403
World Ranking
541
National Ranking
22

Research.com Recognitions

  • 2019 - J. L. Lush Award in Animal Breeding, American Dairy Science Association
  • 2018 - Journal of Dairy Science Highly Cited Awards, American Dairy Science Association

Overview

Nicolas Gengler is affiliated with Gembloux Agro-Bio Tech in Belgium and has a research focus encompassing Agricultural and Biological Sciences as well as Biochemistry, Genetics and Molecular Biology. Their work primarily covers genetics, animal science and zoology, and agronomy and crop science, with additional contributions to small animals and analytical chemistry subfields.

Their research explores multiple topics within livestock science, including:

  • Genetic and phenotypic traits in livestock
  • Effects of environmental stressors on livestock
  • Reproductive physiology in livestock
  • Milk quality and mastitis in dairy cows
  • Meat and animal product quality
  • Genetic mapping and diversity in plants and animals
  • Animal behavior and welfare studies

Nicolas Gengler has published extensively, with frequent contributions in several scientific journals. The most common venues for their work are:

  • Journal of Dairy Science
  • Journal of Animal Breeding and Genetics
  • Animals
  • Livestock Science
  • Journal of Animal Science

Their recent papers include:

  • Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions, 2020, Methods
  • Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation, 2020, Journal of Dairy Science
  • Invited review: From heat stress to disease-Immune response and candidate genes involved in cattle thermotolerance, 2023, Journal of Dairy Science
  • A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra, 2020, Journal of Dairy Science
  • Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?, 2020, Journal of Dairy Science

Frequent co-authors collaborating with Nicolas Gengler include:

  • Hélène Soyeurt
  • Clément Grelet
  • H. Atashi
  • Yansen Chen
  • Frédéric Dehareng

Nicolas Gengler has received the J. L. Lush Award in Animal Breeding from the American Dairy Science Association in 2019 and was recognized with the Journal of Dairy Science Highly Cited Awards in 2018 by the same organization.

Best Publications

  • Estimating Fatty Acid Content in Cow Milk using Mid-Infrared Spectrometry

    Hélène Soyeurt;Pierre Dardenne;Frédéric Dehareng;Georges Lognay

  • Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries.

    Hélène Soyeurt;Frédéric Dehareng;Nicolas Gengler;Sinead McParland

  • 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

  • Variation in Fatty Acid Contents of Milk and Milk Fat Within and Across Breeds

    Hélène Soyeurt;Pierre Dardenne;Alain Gillon;Coraline Croquet

  • Pit-1 gene polymorphism, milk yield, and conformation traits for Italian Holstein-Friesian bulls

    Robert Renaville;Nicolas Gengler;E. Vrech;A. Prandi

  • 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

  • Invited review: Large-scale indirect measurements for enteric methane emissions in dairy cattle: A review of proxies and their potential for use in management and breeding decisions.

    E. Negussie;Y. De Haas;F. Dehareng;R. J. Dewhurst

  • Persistency of lactation yields: a review

    Nicolas Gengler

  • Estimation of heritability and genetic correlations for the major fatty acids in bovine milk.

    Hélène Soyeurt;Alain Gillon;Sylvie Vanderick;Patrick Mayeres

  • Potential estimation of major mineral contents in cow milk using mid-infrared spectrometry.

    Hélène Soyeurt;Damien Bruwier;Jean-Michel Romnee;Nicolas Gengler

  • Genetic analysis of heat stress effects on yield traits, udder health, and fatty acids of Walloon Holstein cows

    Hedi Hammami;Hedi Hammami;Jérémie Vandenplas;Jérémie Vandenplas;Marie-Laure Vanrobays;Boulbaba Rekik

  • Potential use of milk mid-infrared spectra to predict individual methane emission of dairy cows

    Frédéric Dehareng;Camille Delfosse;Eric Froidmont;Hélène Soyeurt

  • Development of Fourier transform mid-infrared calibrations to predict acetone, β-hydroxybutyrate, and citrate contents in bovine milk through a European dairy network

    C. Grelet;C. Bastin;M. Gelé;J.-B. Davière

  • Phenotypic and genetic variability of production traits and milk fatty acid contents across days in milk for Walloon Holstein first-parity cows.

    Catherine Bastin;Nicolas Gengler;Nicolas Gengler;Hélène Soyeurt;Hélène Soyeurt

  • 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

  • Inbreeding Depression for Global and Partial Economic Indexes, Production, Type, and Functional Traits

    Coraline Croquet;Patrick Mayeres;Alain Gillon;Sylvie Vanderick

  • Modeling heat stress under different environmental conditions.

    Maria-Jesus Carabano;Betka Logar;Jeanne Bormann;Julien Minet

  • Invited review: Opportunities for genetic improvement of metabolic diseases.

    J.E. Pryce;K.L. Parker Gaddis;A. Koeck;C. Bastin

  • Variation of Δ9-Desaturase Activity in Dairy Cattle

    Hélène Soyeurt;Frédéric Dehareng;Patrick Mayeres;Carlo Bertozzi

  • Multi‐trait animal model estimation of genetic parameters for linear type and gait traits in the Belgian warmblood horse

    M Rustin;Steven Janssens;Nadine Buys;N Gengler

  • Capitalizing on fine milk composition for breeding and management of dairy cows.

    Nicolas Gengler;Hélène Soyeurt;Fréderic Dehareng;Catherine Bastin

  • Genetic parameters for Tunisian Holsteins using a test-day random regression model.

    H. Hammami;B. Rekik;H. Soyeurt;A. Ben Gara

  • Estimation of (Co)variance Function Coefficients for Test Day Yield with a Expectation-Maximization Restricted Maximum Likelihood Algorithm

    Nicolas Gengler;A. Tijani;G. R. Wiggans;I. Misztal

  • Genetic variability of lactoferrin content estimated by mid-infrared spectrometry in bovine milk.

    Hélène Soyeurt;Frédéric Colinet;Valérie Arnould;Pierre Dardenne

  • Genotype by environment interaction in dairy cattle

    Hedi Hammami;Boulbaba Rekik;Nicolas Gengler

Frequent Co-Authors

Hélène Soyeurt
Hélène Soyeurt Gembloux Agro-Bio Tech
Daniel Portetelle
Daniel Portetelle University of Liège
Ignacy Misztal
Ignacy Misztal University of Georgia
Donagh P. Berry
Donagh P. Berry Teagasc - The Irish Agriculture and Food Development Authority
Filippo Miglior
Filippo Miglior University of Guelph
Johann Sölkner
Johann Sölkner BOKU University
Jennie E. Pryce
Jennie E. Pryce La Trobe University
Arsène Burny
Arsène Burny Université Libre de Bruxelles
John B. Cole
John B. Cole United States Department of Agriculture
Bjørg Heringstad
Bjørg Heringstad Norwegian University of Life Sciences

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