[HTML][HTML] Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F1 hybrids
B Tan, D Grattapaglia, GS Martins, KZ Ferreira… - BMC plant biology, 2017 - Springer
Background Genomic prediction is a genomics assisted breeding methodology that can
increase genetic gains by accelerating the breeding cycle and potentially improving the …
increase genetic gains by accelerating the breeding cycle and potentially improving the …
[HTML][HTML] Accuracy of genomic selection in a rice synthetic population developed for recurrent selection breeding
C Grenier, TV Cao, Y Ospina, C Quintero, MH Châtel… - PloS one, 2015 - journals.plos.org
Genomic selection (GS) is a promising strategy for enhancing genetic gain. We investigated
the accuracy of genomic estimated breeding values (GEBV) in four inter-related synthetic …
the accuracy of genomic estimated breeding values (GEBV) in four inter-related synthetic …
[HTML][HTML] Evaluation of the efficiency of genomic versus pedigree predictions for growth and wood quality traits in Scots pine
A Calleja-Rodriguez, J Pan, T Funda, Z Chen, J Baison… - BMC genomics, 2020 - Springer
Background Genomic selection (GS) or genomic prediction is a promising approach for tree
breeding to obtain higher genetic gains by shortening time of progeny testing in breeding …
breeding to obtain higher genetic gains by shortening time of progeny testing in breeding …
Genomic selection prediction accuracy in a perennial crop: case study of oil palm (Elaeis guineensis Jacq.)
D Cros, M Denis, L Sánchez, B Cochard, A Flori… - Theoretical and applied …, 2015 - Springer
Key message Genomic selection empirically appeared valuable for reciprocal recurrent
selection in oil palm as it could account for family effects and Mendelian sampling terms …
selection in oil palm as it could account for family effects and Mendelian sampling terms …
[HTML][HTML] Cassava yield traits predicted by genomic selection methods
Genomic selection (GS) has been used to optimize genetic gains when phenotypic selection
is considered costly and difficult to measure. The objective of this work was to evaluate the …
is considered costly and difficult to measure. The objective of this work was to evaluate the …
[HTML][HTML] Evaluation of the 2b-RAD method for genomic selection in scallop breeding
The recently developed 2b-restriction site-associated DNA (2b-RAD) sequencing method
provides a cost-effective and flexible genotyping platform for aquaculture species lacking …
provides a cost-effective and flexible genotyping platform for aquaculture species lacking …
[HTML][HTML] Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones
C Saint Pierre, J Burgueño, J Crossa… - Scientific reports, 2016 - nature.com
Genomic and pedigree predictions for grain yield and agronomic traits were carried out
using high density molecular data on a set of 803 spring wheat lines that were evaluated in …
using high density molecular data on a set of 803 spring wheat lines that were evaluated in …
[HTML][HTML] Approximate Bayesian neural networks in genomic prediction
P Waldmann - Genetics Selection Evolution, 2018 - Springer
Background Genome-wide marker data are used both in phenotypic genome-wide
association studies (GWAS) and genome-wide prediction (GWP). Typically, such studies …
association studies (GWAS) and genome-wide prediction (GWP). Typically, such studies …
[HTML][HTML] Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows
M El Jabri, MP Sanchez, P Trossat, C Laithier… - Journal of Dairy …, 2019 - Elsevier
Assessing the cheese-making properties (CMP) of milks with a rapid and cost-effective
method is of particular interest for the Protected Designation of Origin cheese sector. The …
method is of particular interest for the Protected Designation of Origin cheese sector. The …
[HTML][HTML] Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix
F Tiezzi, C Maltecca - Genetics Selection Evolution, 2015 - Springer
Abstract Background Genomic BLUP (GBLUP) can predict breeding values for non-
phenotyped individuals based on the identity-by-state genomic relationship matrix (G). The …
phenotyped individuals based on the identity-by-state genomic relationship matrix (G). The …