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Genetics Selection Evolution is a peer-reviewed journal published by BMC (BioMed Central), covering Genetic and phenotypic traits in livestock, Genetic Mapping and Diversity in Plants and Animals, Animal Nutrition and Physiology. Over its lifetime it has published 4,530 papers, which have received 97,934 citations.
| Publisher | BMC (BioMed Central) |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Genetics Selection Evolution. 2023;12(3):45–58.
Formats any DOI in Genetics Selection Evolution style. No sign-up. |
| Publishes research in | Genetic and phenotypic traits in livestock Genetic Mapping and Diversity in Plants and Animals Animal Nutrition and Physiology Genetics and Plant Breeding Genetic diversity and population structure |
| ISSN | 0999-193X |
| Citation impact (2-yr) | 4.57 |
| h-index | 129 |
| i10-index | 1,834 |
| Article processing charge | $1,754 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Département Génétique Animale |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
During the last ten years, the use of molecular markers, revealing polymorphism at the DNA level, has been playing an increasing part in animal genetics studies. Amongst others, the microsatellite DNA marker has been the most widely used, due to its easy use by simple PCR, followed by a denaturing gel electrophoresis for allele size…
BACKGROUND: The use of genomic selection in breeding programs may increase the rate of genetic improvement, reduce the generation time, and provide higher accuracy of estimated breeding values (EBVs). A number of different methods have been developed for genomic prediction of breeding values, but many of them assume that all animals have been genotyped. In…
BACKGROUND: Genomic prediction of breeding values involves a so-called training analysis that predicts the influence of small genomic regions by regression of observed information on marker genotypes for a given population of individuals. Available observations may take the form of individual phenotypes, repeated observations, records on close family members such as progeny, estimated breeding values…
