Genomic Prediction Methods for Sequencing Data

Dear Colleagues,

Genomic testing has become ubiquitous in some livestock species and breeds. Farmers and breeders can now make faster and better decisions based on the DNA of an animal. Genomics is becoming the linchpin of genetic progress and is a key aspect for feeding an ever-growing human population. Industry largely relies on low- or mid-density panels for its applications, but with the decreasing costs of sequencing, there is a growing research interest in understanding its value for prediction purposes. However, as we move towards full sequence data, it is clear that we are on a diminishing returns curve. Current results suggest that the increase in prediction accuracy is mostly marginal compared to lower-density marker panels. It is an opportune time to envisage the next generation of methods that will allow us to better harness information from these high-throughput datasets. This Special Issue welcomes manuscripts that discuss the pros and/or cons of sequence data for livestock and particularly cattle production; Big Data methods articles for genomic prediction at the sequence level; and novel approaches that will drive the next round of technological development in the field.

Dr. Cedric Gondro
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.