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Herman W. Raadsma

Herman W. Raadsma

D-Index & Metrics

Biology and Biochemistry

D-Index
43
Citations
7843
World Ranking
19384
National Ranking
578

Overview

Herman W. Raadsma is affiliated with the University of Sydney in Australia and focuses on research across agricultural and biological sciences, with a strong emphasis on biochemistry, genetics, and molecular biology. Their work spans multiple subfields, including genetics, aquatic science, immunology, animal science and zoology, and plant science.

The scientist has contributed to topics such as aquaculture nutrition and growth, genetic and phenotypic traits in livestock, invertebrate immune response mechanisms, aquaculture disease management and microbiota, fish biology and ecology studies, genetic diversity and population structure, and meat and animal product quality.

Key recent publications by Herman W. Raadsma include:

  • The identification of a major sex QTL in the white-leg shrimp, Litopenaeus vannamei, 2020, Aquaculture
  • Development and validation of a RAD-Seq target-capture based genotyping assay for routine application in advanced black tiger shrimp (Penaeus monodon) breeding programs, 2020, BMC Genomics
  • Genome assembly of the Australian black tiger shrimp (Penaeus monodon) reveals a novel fragmented IHHNV EVE sequence, 2022, G3 Genes Genomes Genetics
  • Genetic parameters of color phenotypes of black tiger shrimp (Penaeus monodon), 2022, Frontiers in Genetics
  • Prawn morphometrics and weight estimation from images using deep learning for landmark localization, 2024, Aquacultural Engineering

Frequent collaborators include Mehar S. Khatkar, Dean R. Jerry, Nicholas M. Wade, Kyall R. Zenger, and Peter C. Thomson.

Publication venues frequently featuring Raadsma's work include Scientific Reports, Aquaculture, Frontiers in Genetics, Journal of Genetic Engineering and Biotechnology, and BMC Genomics.

Best Publications

  • Genome-wide analysis of the world's sheep breeds reveals high levels of historic mixture and strong recent selection.

    James W. Kijas;Johannes A. Lenstra;Ben Hayes;Simon Boitard

  • Quantitative trait loci mapping in dairy cattle: review and meta-analysis.

    Mehar S Khatkar;Peter C Thomson;Imke Tammen;Herman W Raadsma

  • A genome wide survey of SNP variation reveals the genetic structure of sheep breeds.

    James W. Kijas;David Townley;Brian P. Dalrymple;Michael P. Heaton

  • Extent of genome-wide linkage disequilibrium in Australian Holstein-Friesian cattle based on a high-density SNP panel

    Mehar S. Khatkar;Frank W. Nicholas;Andrew R. Collins;Kyall R. Zenger

  • The sustainability, feasibility and desirability of breeding livestock for disease resistance

    M.J Stear;S.C Bishop;B.A Mallard;H Raadsma

  • A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers

    Gerhard Moser;Bruce Tier;Ron E Crump;Mehar S Khatkar

  • The sheep genome reference sequence: a work in progress

    A. L. Archibald;N. E. Cockett;B. P. Dalrymple

  • Genomic Selection in Aquaculture: Application, Limitations and Opportunities With Special Reference to Marine Shrimp and Pearl Oysters.

    Kyall R. Zenger;Mehar S. Khatkar;David B. Jones;Nima Khalilisamani;Nima Khalilisamani

  • Accuracy of direct genomic values in Holstein bulls and cows using subsets of SNP markers

    Gerhard Moser;Gerhard Moser;Mehar S Khatkar;Mehar S Khatkar;Ben J Hayes;Herman W Raadsma;Herman W Raadsma

  • Improving animal and human health through understanding liver fluke immunology.

    David M Piedrafita;Terence Spithill;Rebecca Smith;H Raadsma

  • A Primary Assembly of a Bovine Haplotype Block Map Based on a 15,036-Single-Nucleotide Polymorphism Panel Genotyped in Holstein-Friesian Cattle

    Mehar S. Khatkar;Kyall R. Zenger;Matthew Hobbs;Rachel J. Hawken

  • netview p: a network visualization tool to unravel complex population structure using genome-wide SNPs.

    Eike J. Steinig;Markus Neuditschko;Mehar S. Khatkar;Herman W. Raadsma;Herman W. Raadsma

  • NetView: a high-definition network-visualization approach to detect fine-scale population structures from genome-wide patterns of variation.

    Markus Neuditschko;Mehar S. Khatkar;Herman W. Raadsma

  • Composite selection signals can localize the trait specific genomic regions in multi-breed populations of cattle and sheep

    Imtiaz Ahmed Sajid Randhawa;Mehar Singh Khatkar;Peter Campbell Thomson;Herman Willem Raadsma

  • Strategies and utility of imputed SNP genotypes for genomic analysis in dairy cattle

    Mehar S Khatkar;Mehar S Khatkar;Gerhard Moser;Gerhard Moser;Ben J Hayes;Herman W Raadsma;Herman W Raadsma

  • Peritoneal Lavage Cells of Indonesian Thin-Tail Sheep Mediate Antibody-Dependent Superoxide Radical Cytotoxicity In Vitro against Newly Excysted Juvenile Fasciola gigantica but Not Juvenile Fasciola hepatica

    David Michael Piedrafita;David Michael Piedrafita;David Michael Piedrafita;Endah Estuningsih;Jill Louise Pleasance;Rhoda Prowse

  • Bulldog dwarfism in Dexter cattle is caused by mutations in ACAN.

    Julie A. L. Cavanagh;Imke Tammen;Peter A. Windsor;John F. Bateman;John F. Bateman

  • Host responses during experimental infection with Fasciola gigantica or Fasciola hepatica in Merino sheep I. Comparative immunological and plasma biochemical changes during early infection.

    H W Raadsma;N M Kingsford;Suharyanta;T W Spithill

  • Resistance to nematode parasites in Merino sheep : correlation with production traits

    S. J. Eady;R. R. Woolaston;R. W. Ponzoni;R. P. Lewer

  • Deterministic models of breeding scheme designs that incorporate genomic selection.

    J.E. Pryce;M.E. Goddard;H.W. Raadsma;B.J. Hayes

Frequent Co-Authors

Peter C. Thomson
Peter C. Thomson University of Sydney
Frank W. Nicholas
Frank W. Nicholas University of Sydney
David Piedrafita
David Piedrafita Federation University Australia
Terry W. Spithill
Terry W. Spithill La Trobe University
Pietro Celi
Pietro Celi University of Melbourne
Johann Sölkner
Johann Sölkner BOKU University
Claire M. Wade
Claire M. Wade University of Sydney
Ben J. Hayes
Ben J. Hayes University of Queensland
John C. McEwan
John C. McEwan AgResearch
Brian P. Dalrymple
Brian P. Dalrymple University of Western Australia

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