World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
64
Citations
13092
World Ranking
9786
National Ranking
4294

Research.com Recognitions

  • 2016 - Rockefeller Prentice Award in Animal Breeding and Genetics, American Society of Animal Science

Overview

Guilherme J. M. Rosa is affiliated with the University of Wisconsin-Madison in the United States. Their research encompasses multiple disciplines within agricultural and biological sciences as well as biochemistry, genetics, and molecular biology.

The primary fields of study for Guilherme J. M. Rosa include:

  • Agricultural and Biological Sciences
  • Biochemistry, Genetics and Molecular Biology

Their work extends into several subfields, notably:

  • Genetics
  • Animal Science and Zoology
  • Agronomy and Crop Science
  • Small Animals
  • Plant Science

The principal topics covered in their research involve:

  • Genetic and phenotypic traits in livestock
  • Genetic Mapping and Diversity in Plants and Animals
  • Effects of Environmental Stressors on Livestock
  • Animal Behavior and Welfare Studies
  • Reproductive Physiology in Livestock
  • Animal Nutrition and Physiology
  • Meat and Animal Product Quality

Frequent coauthors collaborating with Guilherme J. M. Rosa include:

  • J.R.R. Dórea
  • Fernando Brito Lopes
  • Arthur Fernandes
  • Anderson Antônio Carvalho Alves
  • Tiago Luciano Passafaro

The scientist has published extensively in several outlets, with multiple publications in the following venues:

  • Journal of Animal Science
  • Journal of Dairy Science
  • Frontiers in Genetics
  • Scientific Reports
  • Journal of Animal Breeding and Genetics

Representative recent papers authored or coauthored by Guilherme J. M. Rosa include:

  • Enviromics in breeding: applications and perspectives on envirotypic-assisted selection, 2020, Theoretical and Applied Genetics
  • Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia, 2020, Computers and Electronics in Agriculture
  • Image Analysis and Computer Vision Applications in Animal Sciences: An Overview, 2020, Frontiers in Veterinary Science
  • Genome-wide scan highlights the role of candidate genes on phenotypic plasticity for age at first calving in Nellore heifers, 2020, Scientific Reports
  • The economic cost of metritis in dairy herds, 2021, Journal of Dairy Science

Guilherme J. M. Rosa received the Rockefeller Prentice Award in Animal Breeding and Genetics from the American Society of Animal Science in 2016.

Best Publications

  • Synchronization rate, size of the ovulatory follicle, and pregnancy rate after synchronization of ovulation beginning on different days of the estrous cycle in lactating dairy cows.

    J.L.M. Vasconcelos;J.L.M. Vasconcelos;R.W. Silcox;G.J.M. Rosa;J.R. Pursley

  • Comparison of Ovarian Function and Circulating Steroids in Estrous Cycles of Holstein Heifers and Lactating Cows

    R. Sartori;J.M. Haughian;R.D. Shaver;G.J.M. Rosa

  • Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods

    Gustavo De Los Campos;Daniel Gianola;Guilherme J. M. Rosa;Kent A. Weigel

  • Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat

    Daniel Gianola;Hayrettin Okut;Kent A Weigel;Guilherme Jm Rosa

  • Glucosamine and chondroitin sulfate regulate gene expression and synthesis of nitric oxide and prostaglandin E2 in articular cartilage explants

    P. S. Chan;J. P. Caron;G. J M Rosa;Michael W. Orth

  • A powerful and flexible linear mixed model framework for the analysis of relative quantification RT-PCR data

    Juan Pedro Steibel;Rosangela Poletto;Paul M. Coussens;Guilherme J.M. Rosa

  • Ovarian Structures and Circulating Steroids in Heifers and Lactating Cows in Summer and Lactating and Dry Cows in Winter

    R. Sartori;G.J.M. Rosa;M.C. Wiltbank

  • The transcriptome of human oocytes

    Arif Murat Kocabas;Javier Crosby;Pablo J. Ross;Hasan H. Otu;Hasan H. Otu

  • Mutations in the STAT5A gene are associated with embryonic survival and milk composition in cattle.

    H. Khatib;R.L. Monson;V. Schutzkus;D.M. Kohl

  • Reproducing kernel Hilbert spaces regression: a general framework for genetic evaluation.

    G. de los Campos;D. Gianola;G. J. M. Rosa

  • Machine Learning Classification Procedure for Selecting SNPs in Genomic Selection : Application to Early Mortality in Broilers

    N. Long;D. Gianola;G.J.M. Rosa;K.A. Weigel

  • Machine learning methods and predictive ability metrics for genome-wide prediction of complex traits $

    Oscar González-Recio;Oscar González-Recio;Guilherme J.M. Rosa;Daniel Gianola

  • Robust linear mixed models with normal/independent distributions and Bayesian MCMC implementation

    G.J.M. Rosa;C.R. Padovani;D. Gianola

  • Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers.

    K.A. Weigel;G. de los Campos;O. González-Recio;H. Naya

  • Technical note: an R package for fitting generalized linear mixed models in animal breeding.

    A. I. Vazquez;D. M. Bates;G. J. M. Rosa;D. Gianola

  • The association of bovine PPARGC1A and OPN genes with milk composition in two independent Holstein cattle populations.

    H. Khatib;I. Zaitoun;J. Wiebelhaus-Finger;Y.M. Chang

  • Inferring causal phenotype networks using structural equation models.

    Guilherme J M Rosa;Bruno D. Valente;Bruno D. Valente;Gustavo De Los Campos;Xiao Lin Wu

  • Nonparametric Methods for Incorporating Genomic Information Into Genetic Evaluations: An Application to Mortality in Broilers

    Oscar González-Recio;Daniel Gianola;Nanye Long;Kent A. Weigel

  • Antioxidant defense in rat brain regions after developmental lead exposure

    Estefania Gastaldello Moreira;Guilherme Jordao de Magalhaes Rosa;Silvia Berlanga Moraes Barros;Vera Silvia Vassilieff

  • Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle

    K.A. Weigel;G. de los Campos;A.I. Vazquez;G.J.M. Rosa

Frequent Co-Authors

Daniel Gianola
Daniel Gianola University of Wisconsin–Madison
Kent A. Weigel
Kent A. Weigel University of Wisconsin–Madison
Lucia Galvão de Albuquerque
Lucia Galvão de Albuquerque Sao Paulo State University
José E. P. Santos
José E. P. Santos University of Florida
Rodrigo C. Bicalho
Rodrigo C. Bicalho Cornell University
William W. Thatcher
William W. Thatcher University of Florida
Ricardo C. Chebel
Ricardo C. Chebel University of Florida
Klibs N. Galvão
Klibs N. Galvão University of Florida
Hasan Khatib
Hasan Khatib University of Wisconsin–Madison
Robert J. Tempelman
Robert J. Tempelman Michigan State University

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