Genome wide association study of growth and feed efficiency traits in rabbits

Candidate genes for marker-assisted selection for growth, carcass and meat quality traits in rabbits

(2021) Mostafa Helal et al.   ANIMAL BIOTECHNOLOGY

Genome-Wide Association Studies for Growth Curves in Meat Rabbits Through the Single-Step Nonlinear Mixed Model

(2021) Yonglan Liao et al.   Frontiers in Genetics

Genome‐wide association study for feed efficiency in collective cage‐raised rabbits under full and restricted feeding

(2020) J. P. Sánchez et al.   ANIMAL GENETICS

A Genome-Wide Association Study Identifying Genetic Variants Associated with Growth, Carcass and Meat Quality Traits in Rabbits

(2020) Xue Yang et al.   Animals

Estimating direct genetic and maternal effects affecting rabbit growth and feed efficiency with a factorial design

(2019) Hervé Garreau et al.   JOURNAL OF ANIMAL BREEDING AND GENETICS

A genomewide association study in divergently selected lines in rabbits reveals novel genomic regions associated with litter size traits

(2019) Bolívar Samuel Sosa‐Madrid et al.   JOURNAL OF ANIMAL BREEDING AND GENETICS

331 Efficient quality control methods for genomic and pedigree data used in routine genomic evaluation

(2019) Yutaka Masuda et al.   JOURNAL OF ANIMAL SCIENCE

Identification of two novel single nucleotide polymorphism sites in the Myostatin (MSTN) gene and their association with carcass traits in meat-type rabbits (Oryctolagus cuniculus)

(2019) L. Q. Yang et al.   World Rabbit Science

Association of Melanocortin ( MC4R ) and Myostatin ( MSTN ) genes with carcass quality in rabbit

(2018) Karim El-Sabrout et al.   MEAT SCIENCE

Transcriptome analyses reveal reduced hepatic lipid synthesis and accumulation in more feed efficient beef cattle

(2018) Robert Mukiibi et al.   Scientific Reports

Genetic Architecture of Feeding Behavior and Feed Efficiency in a Duroc Pig Population

(2018) Rongrong Ding et al.   Frontiers in Genetics

Direct and correlated responses to selection in two lines of rabbits selected for feed efficiency under ad libitum and restricted feeding: III. Digestion and excretion of nitrogen and minerals1

(2017) T. Gidenne et al.   JOURNAL OF ANIMAL SCIENCE

Direct and correlated responses to selection in two lines of rabbits selected for feed efficiency under ad libitum and restricted feeding: I. Production traits and gut microbiota characteristics1

(2016) L. Drouilhet et al.   JOURNAL OF ANIMAL SCIENCE

A comprehensive linkage map and QTL map for carcass traits in a cross between Giant Grey and New Zealand White rabbits

(2015) Ina Sternstein et al.   BMC GENETICS

Rabbit genome analysis reveals a polygenic basis for phenotypic change during domestication

(2014) M. Carneiro et al.   SCIENCE

Transcriptomic analysis of genes in the nitrogen recycling pathway of meat-type chickens divergently selected for feed efficiency

(2013) S. E. Aggrey et al.   ANIMAL GENETICS

Single nucleotide polymorphisms in the FTO gene and their association with growth and meat quality traits in rabbits

(2013) Gong-Wei Zhang et al.   GENE

Genetic parameters for two selection criteria for feed efficiency in rabbits1

(2013) L. Drouilhet et al.   JOURNAL OF ANIMAL SCIENCE

Whole Genome Association Studies of Residual Feed Intake and Related Traits in the Pig

(2013) Suneel K. Onteru et al.   PLoS One

Genome-wide efficient mixed-model analysis for association studies

(2012) Xiang Zhou et al.   NATURE GENETICS

RESPONSE TO SELECTION FOR GROWTH RATE IN RABBITS ESTIMATED BY USING A CONTROL CRYOPRESERVED POPULATION

(2012)   Piles M. et al.   World Rabbit Science

Avoiding the high Bonferroni penalty in genome-wide association studies

(2009) Xiaoyi Gao et al.   GENETIC EPIDEMIOLOGY

Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information

(2009) I. Misztal et al.   JOURNAL OF DAIRY SCIENCE

A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms

(2008) Xiaoyi Gao et al.   GENETIC EPIDEMIOLOGY

Efficient Methods to Compute Genomic Predictions

(2008) P.M. VanRaden   JOURNAL OF DAIRY SCIENCE