Functional Annotation of Animal Genomes (FAANG): current achievements and roadmap

E Giuffra, CK Tuggle… - Annual review of animal …, 2019 - annualreviews.org
Functional annotation of genomes is a prerequisite for contemporary basic and applied
genomic research, yet farmed animal genomics is deficient in such annotation. To address …

Challenges and opportunities in genetic improvement of local livestock breeds

F Biscarini, EL Nicolazzi, A Stella, PJ Boettcher… - Frontiers in …, 2015 - frontiersin.org
Sufficient genetic variation in livestock populations is necessary both for adaptation to future
changes in climate and consumer demand, and for continual genetic improvement of …

Integrating crop growth models with whole genome prediction through approximate Bayesian computation

F Technow, CD Messina, LR Totir, M Cooper - PloS one, 2015 - journals.plos.org
Genomic selection, enabled by whole genome prediction (WGP) methods, is revolutionizing
plant breeding. Existing WGP methods have been shown to deliver accurate predictions in …

Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits

R Xiang, I Berg, IM MacLeod… - Proceedings of the …, 2019 - National Acad Sciences
Many genome variants shaping mammalian phenotype are hypothesized to regulate gene
transcription and/or to be under selection. However, most of the evidence to support this …

Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)

HJ Auinger, M Schönleben, C Lehermeier… - Theoretical and applied …, 2016 - Springer
Key message Genomic prediction accuracy can be significantly increased by model
calibration across multiple breeding cycles as long as selection cycles are connected by …

Genomic prediction using a reference population of multiple pure breeds and admixed individuals

E Karaman, G Su, I Croue, MS Lund - Genetics Selection Evolution, 2021 - Springer
Background In dairy cattle populations in which crossbreeding has been used, animals
show some level of diversity in their origins. In rotational crossbreeding, for instance …

Integrating sequence-based GWAS and RNA-Seq provides novel insights into the genetic basis of mastitis and milk production in dairy cattle

L Fang, G Sahana, G Su, Y Yu, S Zhang, MS Lund… - Scientific reports, 2017 - nature.com
Connecting genome-wide association study (GWAS) to biological mechanisms underlying
complex traits is a major challenge. Mastitis resistance and milk production are complex …

SNPchiMp v. 3: integrating and standardizing single nucleotide polymorphism data for livestock species

EL Nicolazzi, A Caprera, N Nazzicari, P Cozzi, F Strozzi… - BMC genomics, 2015 - Springer
Background In recent years, the use of genomic information in livestock species for genetic
improvement, association studies and many other fields has become routine. In order to …

Using sequence variants in linkage disequilibrium with causative mutations to improve across-breed prediction in dairy cattle: a simulation study

I van den Berg, D Boichard… - G3: Genes …, 2016 - academic.oup.com
Sequence data are expected to increase the reliability of genomic prediction by containing
causative mutations directly, especially in cases where low linkage disequilibrium between …

Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle

I Van den Berg, D Boichard, MS Lund - Genetics Selection Evolution, 2016 - Springer
Background Sequence data can potentially increase the reliability of genomic predictions,
because such data include causative mutations instead of relying on linkage disequilibrium …