Factors Affecting the Accuracy of Genotype Imputation in Populations from Several Maize Breeding Programs

By John M. Hickey, Jose Crossa, R. Babu, G. de los Campos. 2012

135 citations recorded by the source corpus.

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/7e34536d1e2c9793ae9daae17ea785e59873938a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Susanne Dreisigacker
2. Jose Crossa
3. R. Babu
4. Boddupalli M. Prasanna
5. Sarah Hearne
6. John M. Hickey
7. G. de los Campos
8. Juan Burgueño

In Plant Science

1. Susanne Dreisigacker
2. Jose Crossa
3. R. Babu
4. Boddupalli M. Prasanna
5. Sarah Hearne
6. John M. Hickey
7. Juan Burgueño
8. G. de los Campos

Citations in the corpus

• Evaluation of genomic selection training population designs and genotyping strategies in plant breeding programs using simulation (2014, background): “However, these can be reduced using genotype imputation (e.g., Iwata and Jannink, 2010; Hickey et al., 2012a,b; Huang et al., 2012).”