Genomic Selection and Prediction in Plant Breeding
By Jose Crossa, P. Pérez, G. de los Campos, G. Mahuku, Susanne Dreisigacker, Cosmos Magorokosho. 2011
130 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/8350d14ae3ac22d03ff9d757d13b4a2b4c6d8967
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- G. de los Campos
- Juan Burgueño
- Jose Crossa
- Kent A. Weigel
- John M. Hickey
- R. Babu
- Jean-Luc Jannink
- Jeffrey B. Endelman
In Plant Science
- G. de los Campos
- Juan Burgueño
- Jose Crossa
- Kent A. Weigel
- R. Babu
- John M. Hickey
- Jean-Luc Jannink
- M. Sorrells
Citations in the corpus
- Factors Affecting the Accuracy of Genotype Imputation in Populations from Several Maize Breeding Programs (2012, background): “Simulation (e.g., Bernardo and Yu, 2007; Zhong et al., 2009) and empirical studies with real plant breeding populations (e.g., de los Campos et al., 2009; Crossa et al., 2010, 2011) have demonstrated that GS off ers great potential for increased rates of genetic progress in plant breeding.”
- Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers (2012, background): “…has made it possible to use genomic selection (GS) for the prediction of genetic values (Meuwissen et al., 2001) in plants (Bernardo and Yu, 2007; de los Campos et al., 2009, 2010; Crossa et al., 2010, 2011; Pérez et al., 2010) and animals (Hayes and Goddard, 2010; de los Campos et al., 2009).”