World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
36
Citations
4454
World Ranking
1629
National Ranking
53

Overview

What is he best known for?

The fields of study he is best known for:

  • Genetics
  • Statistics
  • Population genetics

Jack J. Windig spends much of his time researching Animal science, Genetics, Dairy cattle, Genetic correlation and Herd. His Animal science study combines topics in areas such as Biotechnology and Yield. His Genetics study focuses on Breed in particular.

His work carried out in the field of Dairy cattle brings together such families of science as Veterinary medicine and Beef cattle. He performs integrative study on Genetic correlation and Udder in his works. He merges many fields, such as Herd and Somatic cell count, in his writings.

His most cited work include:

  • Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection. (137 citations)
  • Estimating Relatedness Between Individuals in General Populations With a Focus on Their Use in Conservation Programs (125 citations)
  • Influence of herd environment on health and fertility and their relationship with milk production. (121 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Genetics, Genetic diversity, Animal science, Inbreeding and Breed. His studies in Genetic diversity integrate themes in fields like Evolutionary biology and Genetic variation. His work on Dairy cattle and Milking as part of general Animal science study is frequently connected to Somatic cell count, Udder and Genomic selection, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

His Dairy cattle study also includes

  • Herd, which have a strong connection to Genetic correlation,
  • Energy balance most often made with reference to Biotechnology. His Inbreeding research incorporates elements of Population size and Animal breeding. His Breed research includes elements of Zoology, Livestock and Crossbreed.

He most often published in these fields:

  • Genetics (26.23%)
  • Genetic diversity (23.77%)
  • Animal science (21.31%)

What were the highlights of his more recent work (between 2016-2021)?

  • Inbreeding (18.85%)
  • Breed (18.85%)
  • Genetic diversity (23.77%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Inbreeding, Breed, Genetic diversity, Statistics and Breeding program. His Inbreeding research is multidisciplinary, relying on both Evolutionary biology, Population size and Animal science, Animal breeding. Many of his studies on Animal science involve topics that are commonly interrelated, such as Inbreeding depression.

Jack J. Windig has researched Breed in several fields, including Zoology, Livestock and Veterinary medicine. His work carried out in the field of Genetic diversity brings together such families of science as Germplasm and Genetic variation. His Dairy cattle research is multidisciplinary, incorporating elements of Deleterious alleles and Fertility.

Between 2016 and 2021, his most popular works were:

  • Trends in genome-wide and region-specific genetic diversity in the Dutch-Flemish Holstein–Friesian breeding program from 1986 to 2015 (24 citations)
  • Characterization of Genetic Diversity Conserved in the Gene Bank for Dutch Cattle Breeds (23 citations)
  • Inbreeding depression due to recent and ancient inbreeding in Dutch Holstein–Friesian dairy cattle (22 citations)

In his most recent research, the most cited papers focused on:

  • Genetics
  • Statistics
  • Population genetics

His main research concerns Breed, Inbreeding, Genetic diversity, Purebred and Statistics. His research investigates the link between Breed and topics such as Veterinary medicine that cross with problems in Genetic variation. His studies deal with areas such as Evolutionary biology, Fertility and Effective population size as well as Inbreeding.

His Genetic diversity study combines topics from a wide range of disciplines, such as Quantitative trait locus and Animal breeding. Jack J. Windig interconnects Dairy cattle and Animal science in the investigation of issues within Inbreeding depression. His work deals with themes such as Endangered species and Cline, which intersect with Genetics.

Best Publications

  • Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection.

    Y. de Haas;J.J. Windig;M.P.L. Calus;J. Dijkstra

  • Population structure, genetic variation and morphological diversity in indigenous sheep of Ethiopia.

    S. Gizaw;J. A. M. Van Arendonk;H. Komen;J. J. Windig

  • Influence of herd environment on health and fertility and their relationship with milk production.

    J.J. Windig;M.P.L. Calus;R.F. Veerkamp

  • Inbreeding depression due to recent and ancient inbreeding in Dutch Holstein–Friesian dairy cattle

    Harmen P. Doekes;Roel F. Veerkamp;Piter Bijma;Gerben de Jong

  • Estimating Relatedness Between Individuals in General Populations With a Focus on Their Use in Conservation Programs

    Pieter A Oliehoek;Jack J Windig;Johan A M van Arendonk;Piter Bijma

  • Genetic Correlations Between Milk Production and Health and Fertility Depending on Herd Environment

    J.J. Windig;M.P.L. Calus;B. Beerda;R.F. Veerkamp

  • Trends in genome-wide and region-specific genetic diversity in the Dutch-Flemish Holstein–Friesian breeding program from 1986 to 2015

    Harmen P. Doekes;Roel F. Veerkamp;Piter Bijma;Sipke J. Hiemstra

  • Alternative somatic cell count traits as mastitis indicators for genetic selection.

    Y. de Haas;W. Ouweltjes;J. ten Napel;J.J. Windig

  • How Depressing Is Inbreeding? A Meta-Analysis of 30 Years of Research on the Effects of Inbreeding in Livestock

    Harmen P. Doekes;Piter Bijma;Jack J. Windig

  • Dehorning of cattle in the EU Member States: A quantitative survey of the current practices

    G. Cozzi;F. Gottardo;M. Brscic;B. Contiero

  • Effects of the number of markers per haplotype and clustering of haplotypes on the accuracy of QTL mapping and prediction of genomic breeding values.

    Mario P L Calus;Theo H E Meuwissen;Jack J Windig;Egbert F Knol

  • Effects of genotype by environment interactions on milk yield, energy balance, and protein balance.

    B. Beerda;W. Ouweltjes;L.B.J. Šebek;J.J. Windig

  • The effect of rare alleles on estimated genomic relationships from whole genome sequence data

    Sonia E. Eynard;Jack J. Windig;Grégoire Leroy;Grégoire Leroy;Rianne Van Binsbergen

  • Associations Among Descriptors of Herd Management and Phenotypic and Genetic Levels of Health and Fertility

    M.P.L. Calus;J.J. Windig;R.F. Veerkamp

  • Breeding for polledness in Holstein cattle

    Jack J. Windig;Rita A. Hoving-Bolink;Roel F. Veerkamp

  • Rapid haplotype reconstruction in pedigrees with dense marker maps

    J. J. Windig;T. H. E. Meuwissen

  • Assigning breed origin to alleles in crossbred animals

    Jérémie Vandenplas;Mario P. L. Calus;Claudia A. Sevillano;Jack J. Windig

  • Selection of SNP from 50K and 777K arrays to predict breed of origin in cattle.

    B. Hulsegge;M. P. L. Calus;J. J. Windig;A. H. Hoving-Bolink

  • Characterization of Genetic Diversity Conserved in the Gene Bank for Dutch Cattle Breeds

    Anouk E. van Breukelen;Harmen P. Doekes;Jack J. Windig;Kor Oldenbroek

  • Genetic relationships among mastitis and alternative somatic cell count traits in the first 3 lactations of Swedish Holsteins

    J.I. Urioste;J. Franzén;J.J. Windig;E. Strandberg

  • Genetic resistance to transmissible spongiform encephalopathies (TSE) in goats

    Antonia Ricci;Ana Allende;Declan Bolton

  • Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle

    Harmen P. Doekes;Piter Bijma;Roel F. Veerkamp;Gerben de Jong

  • Combining somatic cell count traits for optimal selection against mastitis

    J.J. Windig;W. Ouweltjes;J. ten Napel;G. de Jong

  • Genetic parameters for androstenone, skatole, indole, and human nose scores as measures of boar taint and their relationship with finishing traits.

    J. J. Windig;H. A. Mulder;J. ten Napel;E. F. Knol

Frequent Co-Authors

Roel F. Veerkamp
Roel F. Veerkamp Wageningen University & Research
Y. de Haas
Y. de Haas Wageningen University & Research
Piter Bijma
Piter Bijma Wageningen University & Research
Erling Strandberg
Erling Strandberg Swedish University of Agricultural Sciences
Theo J.G.M. Lam
Theo J.G.M. Lam Utrecht University
Nadine Buys
Nadine Buys KU Leuven
Jan P. M. Langeveld
Jan P. M. Langeveld Wageningen University & Research
Nicolas Gengler
Nicolas Gengler Gembloux Agro-Bio Tech
A. Bannink
A. Bannink Wageningen University & Research
Jan Dijkstra
Jan Dijkstra Wageningen University & Research

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