Genetic Gain

Genetic Gain

• Genomic Prediction and Selection for Fruit Traits in Winter Squash

  Christopher O. Hernandez, Lindsay E. Wyatt, Michael R. Mazourek

  G3: Genes, Genomes, Genetics October 2020 10: 3601-3610; https://doi.org/10.1534/g3.120.401215
• Preservation of Genetic Variation in a Breeding Population for Long-Term Genetic Gain

  David Vanavermaete, Jan Fostier, Steven Maenhout, Bernard De Baets

  G3: Genes, Genomes, Genetics August 2020 10: 2753-2762; https://doi.org/10.1534/g3.120.401354
• Purebred and Crossbred Genomic Evaluation and Mate Allocation Strategies To Exploit Dominance in Pig Crossbreeding Schemes

  David González-Diéguez, Llibertat Tusell, Alban Bouquet, Andres Legarra, Zulma G. Vitezica

  G3: Genes, Genomes, Genetics August 2020 10: 2829-2841; https://doi.org/10.1534/g3.120.401376
• Origin Specific Genomic Selection: A Simple Process To Optimize the Favorable Contribution of Parents to Progeny

  Chin Jian Yang, Rajiv Sharma, Gregor Gorjanc, Sarah Hearne, Wayne Powell, Ian Mackay

  G3: Genes, Genomes, Genetics July 2020 10: 2445-2455; https://doi.org/10.1534/g3.120.401132
• Efficiency of a Constrained Linear Genomic Selection Index To Predict the Net Genetic Merit in Plants

  J. Jesus Cerón-Rojas, Jose Crossa

  G3: Genes, Genomes, Genetics December 2019 9: 3981-3994; https://doi.org/10.1534/g3.119.400677
• Optimizing Selection and Mating in Genomic Selection with a Look-Ahead Approach: An Operations Research Framework

  Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick S. Schnable

  G3: Genes, Genomes, Genetics July 2019 9: 2123-2133; https://doi.org/10.1534/g3.118.200842
• Accounting for Genotype-by-Environment Interactions and Residual Genetic Variation in Genomic Selection for Water-Soluble Carbohydrate Concentration in Wheat

  Ben Ovenden, Andrew Milgate, Len J. Wade, Greg J. Rebetzke, James B. Holland

  G3: Genes, Genomes, Genetics June 2018 8: 1909-1919; https://doi.org/10.1534/g3.118.200038
• A Bayesian Genomic Regression Model with Skew Normal Random Errors

  Paulino Pérez-Rodríguez, Rocío Acosta-Pech, Sergio Pérez-Elizalde, Ciro Velasco Cruz, Javier Suárez Espinosa, José Crossa

  G3: Genes, Genomes, Genetics May 2018 8: 1771-1785; https://doi.org/10.1534/g3.117.300406
• Selection on Expected Maximum Haploid Breeding Values Can Increase Genetic Gain in Recurrent Genomic Selection

  Dominik Müller, Pascal Schopp, Albrecht E. Melchinger

  G3: Genes, Genomes, Genetics April 2018 8: 1173-1181; https://doi.org/10.1534/g3.118.200091
• Which Individuals To Choose To Update the Reference Population? Minimizing the Loss of Genetic Diversity in Animal Genomic Selection Programs

  Sonia E. Eynard, Pascal Croiseau, Denis Laloë, Sebastien Fritz, Mario P. L. Calus, Gwendal Restoux

  G3: Genes, Genomes, Genetics January 2018 8: 113-121; https://doi.org/10.1534/g3.117.1117
• The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values

   

  D. Habier, R. L. Fernando, J. C. M. Dekkers

  Genetics December 2007 177: 2389-2397; https://doi.org/10.1534/genetics.107.081190
• Genetic Gain Increases by Applying the Usefulness Criterion with Improved Variance Prediction in Selection of Crosses

   

  Christina Lehermeier, Simon Teyssèdre, Chris-Carolin Schön

  Genetics December 2017 207: 1651-1661; https://doi.org/10.1534/genetics.117.300403
• Evaluating Methods of Updating Training Data in Long-Term Genomewide Selection

  Jeffrey L. Neyhart, Tyler Tiede, Aaron J. Lorenz, Kevin P. Smith

  G3: Genes, Genomes, Genetics May 2017 7: 1499-1510; https://doi.org/10.1534/g3.117.040550
• The Dimensionality of Genomic Information and Its Effect on Genomic Prediction

  Open Access

  Ivan Pocrnic, Daniela A. L. Lourenco, Yutaka Masuda, Andres Legarra, Ignacy Misztal

  Genetics May 2016 203: 573-581; https://doi.org/10.1534/genetics.116.187013
• An Equation to Predict the Accuracy of Genomic Values by Combining Data from Multiple Traits, Populations, or Environments

   

  Yvonne C. J. Wientjes, Piter Bijma, Roel F. Veerkamp, Mario P. L. Calus

  Genetics February 2016 202: 799-823; https://doi.org/10.1534/genetics.115.183269
• Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression

  Osval A. Montesinos-López, Abelardo Montesinos-López, José Crossa, Juan Burgueño, Kent Eskridge

  G3: Genes, Genomes, Genetics October 2015 5: 2113-2126; https://doi.org/10.1534/g3.115.021154
• A Genomic Selection Index Applied to Simulated and Real Data

  J. Jesus Ceron-Rojas, José Crossa, Vivi N. Arief, Kaye Basford, Jessica Rutkoski, Diego Jarquín, Gregorio Alvarado, Yoseph Beyene, Kassa Semagn, Ian DeLacy

  G3: Genes, Genomes, Genetics October 2015 5: 2155-2164; https://doi.org/10.1534/g3.115.019869
• Using Bayesian Multilevel Whole Genome Regression Models for Partial Pooling of Training Sets in Genomic Prediction

  Frank Technow, L. Radu Totir

  G3: Genes, Genomes, Genetics August 2015 5: 1603-1612; https://doi.org/10.1534/g3.115.019299
• Selection on Optimal Haploid Value Increases Genetic Gain and Preserves More Genetic Diversity Relative to Genomic Selection

   

  Hans D. Daetwyler, Matthew J. Hayden, German C. Spangenberg, Ben J. Hayes

  Genetics August 2015 200: 1341-1348; https://doi.org/10.1534/genetics.115.178038
• Selection on Optimal Haploid Value Increases Genetic Gain and Preserves More Genetic Diversity Relative to Genomic Selection

   

  Hans D. Daetwyler, Matthew J. Hayden, German C. Spangenberg, Ben J. Hayes

  Genetics August 2015 200: 1341-1348; https://doi.org/10.1534/genetics.115.178038
• Influence of Outliers on Accuracy Estimation in Genomic Prediction in Plant Breeding

  Sidi Boubacar Ould Estaghvirou, Joseph O. Ogutu, Hans-Peter Piepho

  G3: Genes, Genomes, Genetics December 2014 4: 2317-2328; https://doi.org/10.1534/g3.114.011957
• On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope

   

  Zulma G. Vitezica, Luis Varona, Andres Legarra

  Genetics December 2013 195: 1223-1230; https://doi.org/10.1534/genetics.113.155176
• Genomic BLUP Decoded: A Look into the Black Box of Genomic Prediction

   

  David Habier, Rohan L. Fernando, Dorian J. Garrick

  Genetics July 2013 194: 597-607; https://doi.org/10.1534/genetics.113.152207
• Resource Allocation for Maximizing Prediction Accuracy and Genetic Gain of Genomic Selection in Plant Breeding: A Simulation Experiment

  Aaron J. Lorenz

  G3: Genes, Genomes, Genetics March 2013 3: 481-491; https://doi.org/10.1534/g3.112.004911
• Maximizing the Reliability of Genomic Selection by Optimizing the Calibration Set of Reference Individuals: Comparison of Methods in Two Diverse Groups of Maize Inbreds (Zea mays L.)

   

  R. Rincent, D. Laloë, S. Nicolas, T. Altmann, D. Brunel, P. Revilla, V.M. Rodríguez, J. Moreno-Gonzalez, A. Melchinger, E. Bauer, C-C. Schoen, N. Meyer, C. Giauffret, C. Bauland, P. Jamin, J. Laborde, H. Monod, P. Flament, A. Charcosset, L. Moreau

  Genetics October 2012 192: 715-728; https://doi.org/10.1534/genetics.112.141473
• A Fast and Efficient Approach for Genomic Selection with High-Density Markers

  Vitara Pungpapong, William M. Muir, Xianran Li, Dabao Zhang, Min Zhang

  G3: Genes, Genomes, Genetics October 2012 2: 1179-1184; https://doi.org/10.1534/g3.112.003822
• Graph-Based Data Selection for the Construction of Genomic Prediction Models

   

  Steven Maenhout, Bernard De Baets, Geert Haesaert

  Genetics August 2010 185: 1463-1475; https://doi.org/10.1534/genetics.110.116426
• Accurate Prediction of Genetic Values for Complex Traits by Whole-Genome Resequencing

   

  Theo Meuwissen, Mike Goddard

  Genetics June 2010 185: 623-631; https://doi.org/10.1534/genetics.110.116590
• The Accuracy of Genomic Selection in Norwegian Red Cattle Assessed by Cross-Validation

   

  Tu Luan, John A. Woolliams, Sigbjørn Lien, Matthew Kent, Morten Svendsen, Theo H. E. Meuwissen

  Genetics November 2009 183: 1119-1126; https://doi.org/10.1534/genetics.109.107391
• Performance of Genomic Selection in Mice

   

  Andrés Legarra, Christèle Robert-Granié, Eduardo Manfredi, Jean-Michel Elsen

  Genetics September 2008 180: 611-618; https://doi.org/10.1534/genetics.108.088575
• Nonparametric Methods for Incorporating Genomic Information Into Genetic Evaluations: An Application to Mortality in Broilers

   

  Oscar González-Recio, Daniel Gianola, Nanye Long, Kent A. Weigel, Guilherme J. M. Rosa, Santiago Avendaño

  Genetics April 2008 178: 2305-2313; https://doi.org/10.1534/genetics.107.084293
• Reproducing Kernel Hilbert Spaces Regression Methods for Genomic Assisted Prediction of Quantitative Traits

   

  Daniel Gianola, Johannes B. C. H. M. van Kaam

  Genetics April 2008 178: 2289-2303; https://doi.org/10.1534/genetics.107.084285
• Genomic-Assisted Prediction of Genetic Value With Semiparametric Procedures

   

  Daniel Gianola, Rohan L. Fernando, Alessandra Stella

  Genetics July 2006 173: 1761-1776; https://doi.org/10.1534/genetics.105.049510
• Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps

   

  T. H. E. Meuwissen, B. J. Hayes, M. E. Goddard

  Genetics April 2001 157: 1819-1829;