相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。GWAS identifies genetic variants associated with omega-3 fatty acid composition of Atlantic salmon fillets
Siri S. Horn et al.
AQUACULTURE (2020)
Genomic prediction for commercial traits using univariate and multivariate approaches in Nile tilapia (Oreochromis niloticus)
R. Joshi et al.
AQUACULTURE (2020)
Helping decision making for reliable and cost-effective 2b-RAD sequencing and genotyping analyses in non-model species
Anna Barbanti et al.
MOLECULAR ECOLOGY RESOURCES (2020)
Current status of genomic evaluation
Ignacy Misztal et al.
JOURNAL OF ANIMAL SCIENCE (2020)
Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar)
Muhammad L. Aslam et al.
SCIENTIFIC REPORTS (2020)
Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90
Daniela Lourenco et al.
GENES (2020)
Why breed disease-resilient livestock, and how?
Pieter W. Knap et al.
GENETICS SELECTION EVOLUTION (2020)
Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes
Rostam L. Abdollahi-Arpanahi et al.
GENETICS SELECTION EVOLUTION (2020)
Combining Individual Phenotypes of Feed Intake With Genomic Data to Improve Feed Efficiency in Sea Bass
Mathieu Besson et al.
FRONTIERS IN GENETICS (2019)
Deep learning: new computational modelling techniques for genomics
Gokcen Eraslan et al.
NATURE REVIEWS GENETICS (2019)
Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projections
Orly Razgour et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Advances in genetic improvement for salmon and trout aquaculture: the Chilean situation and prospects
Jean P. Lhorente et al.
REVIEWS IN AQUACULTURE (2019)
Disentangling Genetic Variation for Resistance and Endurance to Scuticociliatosis in Turbot Using Pedigree and Genomic Information
Maria Saura et al.
FRONTIERS IN GENETICS (2019)
Optimizing Genomic Prediction of Host Resistance to Koi Herpesvirus Disease in Carp
Christos Palaiokostas et al.
FRONTIERS IN GENETICS (2019)
On the Use of the Pearson Correlation Coefficient for Model Evaluation in Genome-Wide Prediction
Patrik Waldmann
FRONTIERS IN GENETICS (2019)
Population-specific variations of the genetic architecture of sex determination in wild European sea bass Dicentrarchus labrax L.
Sara Faggion et al.
HEREDITY (2019)
A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding
Osval A. Montesinos-Lopez et al.
G3-GENES GENOMES GENETICS (2019)
A review of traditional and machine learning methods applied to animal breeding
Shadi Nayeri et al.
ANIMAL HEALTH RESEARCH REVIEWS (2019)
Genome-wide association analysis and accuracy of genome-enabled breeding value predictions for resistance to infectious hematopoietic necrosis virus in a commercial rainbow trout breeding population
Roger L. Vallejo et al.
GENETICS SELECTION EVOLUTION (2019)
Disease reduction in aquaculture with genetic and genomic technology: current and future approaches
Ahmed Elaswad et al.
REVIEWS IN AQUACULTURE (2018)
Genetics of resistance to photobacteriosis in gilthead sea bream (Sparus aurata) using 2b-RAD sequencing
Muhammad L. Aslam et al.
BMC GENETICS (2018)
Genomic Predictions and Genome-Wide Association Study of Resistance Against Piscirickettsia salmonis in Coho Salmon (Oncorhynchus kisutch) Using ddRAD Sequencing
Agustin Barria et al.
G3-GENES GENOMES GENETICS (2018)
Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods
Bo Li et al.
FRONTIERS IN GENETICS (2018)
Development of genomic predictions for harvest and carcass weight in channel catfish
Andre L. S. Garcia et al.
GENETICS SELECTION EVOLUTION (2018)
Approximate Bayesian neural networks in genomic prediction
Patrik Waldmann
GENETICS SELECTION EVOLUTION (2018)
Animal Breeding learning from machine learning
M. Perez-Enciso
JOURNAL OF ANIMAL BREEDING AND GENETICS (2017)
Future directions in breeding for disease resistance in aquaculture species
Ross D. Houston
REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE (2017)
The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar)
Katharina Correa et al.
GENETICS SELECTION EVOLUTION (2017)
Genomic Prediction of Resistance to Pasteurellosis in Gilthead Sea Bream (Sparus aurata) Using 2b-RAD Sequencing
Christos Palaiokostas et al.
G3-GENES GENOMES GENETICS (2016)
Evaluation of Genome-Enabled Selection for Bacterial Cold Water Disease Resistance Using Progeny Performance Data in Rainbow Trout: Insights on Genotyping Methods and Genomic Prediction Models
Roger L. Vallejo et al.
FRONTIERS IN GENETICS (2016)
Genome-wide prediction using Bayesian additive regression trees
Patrik Waldmann
GENETICS SELECTION EVOLUTION (2016)
Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus
D. A. L. Lourenco et al.
JOURNAL OF ANIMAL SCIENCE (2015)
Genome-Wide Regression and Prediction with the BGLR Statistical Package
Paulino Perez et al.
GENETICS (2014)
Parametric and Nonparametric Statistical Methods for Genomic Selection of Traits with Additive and Epistatic Genetic Architectures
Reka Howard et al.
G3-GENES GENOMES GENETICS (2014)
The Genetic Interpretation of Area under the ROC Curve in Genomic Profiling
Naomi R. Wray et al.
PLOS GENETICS (2010)
QMSim: a large-scale genome simulator for livestock
Mehdi Sargolzaei et al.
BIOINFORMATICS (2009)
The Salmon Disease Crisis in Chile
Frank Asche et al.
MARINE RESOURCE ECONOMICS (2009)
Efficient Methods to Compute Genomic Predictions
P. M. VanRaden
JOURNAL OF DAIRY SCIENCE (2008)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)