What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Inbreeding, Genetic variability, Statistics, Genetics and Effective population size.
His Inbreeding study incorporates themes from Breed, Ice calving, Insemination and Veterinary medicine.
His Breed research is multidisciplinary, incorporating perspectives in Zoology and Herd.
His research investigates the link between Genetic variability and topics such as Genetic diversity that cross with problems in Endangered species.
Juan Pablo Gutiérrez integrates many fields in his works, including Statistics and Estimation.
Juan Pablo Gutiérrez has included themes like Population size and Population genetics in his Effective population size study.
His most cited work include:
- A note on ENDOG: a computer program for analysing pedigree information (342 citations)
- MolKin v2.0: A Computer Program for Genetic Analysis of Populations Using Molecular Coancestry Information (165 citations)
- Pedigree analysis of eight Spanish beef cattle breeds (158 citations)
What are the main themes of his work throughout his whole career to date?
Juan Pablo Gutiérrez mainly focuses on Inbreeding, Genetics, Breed, Animal science and Genetic variability.
His research investigates the connection between Inbreeding and topics such as Effective population size that intersect with issues in Population size.
His Genetics research focuses on Evolutionary biology and how it connects with Pony and Livestock.
In Breed, Juan Pablo Gutiérrez works on issues like Veterinary medicine, which are connected to Dairy cattle.
His biological study spans a wide range of topics, including Birth weight, Ice calving, Genetic correlation and Heritability.
His study looks at the intersection of Genetic variability and topics like Genetic structure with Population structure.
He most often published in these fields:
- Inbreeding (30.43%)
- Genetics (26.81%)
- Breed (26.81%)
What were the highlights of his more recent work (between 2017-2021)?
- Genetic correlation (18.12%)
- Statistics (21.74%)
- Heritability (18.84%)
In recent papers he was focusing on the following fields of study:
Genetic correlation, Statistics, Heritability, Trait and Birth weight are his primary areas of study.
His study on Ranking is often connected to Random effects model as part of broader study in Statistics.
His Heritability research incorporates themes from Repeatability, Covariance and Standard deviation.
His Birth weight research includes elements of Heteroscedasticity, Physiology, Animal science and Robustness.
His study in Animal science is interdisciplinary in nature, drawing from both Weight gain, Livestock and Genetic relatedness.
Juan Pablo Gutiérrez interconnects Additive genetic effects, Genetic variability, Coefficient of variation and Shrimp in the investigation of issues within Genetic variation.
Between 2017 and 2021, his most popular works were:
- Cross-validation analysis for genetic evaluation models for ranking in endurance horses (8 citations)
- The Statistical Scale Effect as a Source of Positive Genetic Correlation Between Mean and Variability: A Simulation Study. (5 citations)
- Heritability of individual fiber medullation in Peruvian alpacas (4 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Heritability, Genetic correlation, Statistics, Animal science and Trait.
The subject of his Genetic correlation research is within the realm of Genetic variation.
In his research, Juan Pablo Gutiérrez performs multidisciplinary study on Statistics and Random effects model.
His studies in Animal science integrate themes in fields like Weight gain, Birth weight and Livestock.
His Weight gain research integrates issues from Litter, Weaning and Laboratory mouse.
His Birth weight research is multidisciplinary, incorporating elements of Feed conversion ratio and Animal feed.
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