Single-step genomic and pedigree genotype × environment interaction models for predicting wheat lines in international environments

Paulino Pérez-Rodríguez, José Crossa, Jessica Rutkoski, Jesse Poland, Ravi Singh, Andrés Legarra, Enrique Autrique, Gustavo De los Campos, Juan Burgueño, Susanne Dreisigacker

Research output: Contribution to journalArticle

Abstract

Genomic prediction models have been commonly used in plant breeding but only in reduced datasets comprising a few hundred genotyped individuals. However, pedigree information for an entire breeding population is frequently available, as are historical data on the performance of a large number of selection candidates. The single-step method extends the genomic relationship information from genotyped individuals to pedigree information from a larger number of phenotyped individuals in order to combine relationship information on all members of the breeding population. Furthermore, genomic prediction models that incorporate genotype × environment interactions (G × E) have produced substantial increases in prediction accuracy compared with single-environment genomic prediction models. Our main objective was to show how to use single-step genomic and pedigree models to assess the prediction accuracy of 58,798 CIMMYT wheat (Triticum aestivum L.) lines evaluated in several simulated environments in Ciudad Obregon, Mexico, and to predict the grain yield performance of some of them in several sites in South Asia (India, Pakistan, and Bangladesh) using a reaction norm model that incorporated G × E. Another objective was to describe the statistical and computational challenges encountered when developing the pedigree and single-step models in such large datasets. Results indicate that the genomic prediction accuracy achieved by models using pedigree only, markers only, or both pedigree and markers to predict various environments in India, Pakistan, and Bangladesh is higher (0.25–0.38) than prediction accuracy of models that use only phenotypic prediction (0.20) or do not include the G × E term.

Original languageEnglish (US)
JournalPlant Genome
Volume10
Issue number2
DOIs
StatePublished - Jan 1 2017
Externally publishedYes

Fingerprint

genotype-environment interaction
Pedigree
pedigree
Triticum
Genotype
genomics
wheat
prediction
Bangladesh
Pakistan
Breeding
India
Mexico
Population
South Asia
breeding
plant breeding
Triticum aestivum
grain yield

ASJC Scopus subject areas

  • Genetics
  • Agronomy and Crop Science
  • Plant Science

Cite this

Single-step genomic and pedigree genotype × environment interaction models for predicting wheat lines in international environments. / Pérez-Rodríguez, Paulino; Crossa, José; Rutkoski, Jessica; Poland, Jesse; Singh, Ravi; Legarra, Andrés; Autrique, Enrique; De los Campos, Gustavo; Burgueño, Juan; Dreisigacker, Susanne.

In: Plant Genome, Vol. 10, No. 2, 01.01.2017.

Research output: Contribution to journalArticle

Pérez-Rodríguez, P, Crossa, J, Rutkoski, J, Poland, J, Singh, R, Legarra, A, Autrique, E, De los Campos, G, Burgueño, J & Dreisigacker, S 2017, 'Single-step genomic and pedigree genotype × environment interaction models for predicting wheat lines in international environments', Plant Genome, vol. 10, no. 2. https://doi.org/10.3835/plantgenome2016.09.0089
Pérez-Rodríguez, Paulino ; Crossa, José ; Rutkoski, Jessica ; Poland, Jesse ; Singh, Ravi ; Legarra, Andrés ; Autrique, Enrique ; De los Campos, Gustavo ; Burgueño, Juan ; Dreisigacker, Susanne. / Single-step genomic and pedigree genotype × environment interaction models for predicting wheat lines in international environments. In: Plant Genome. 2017 ; Vol. 10, No. 2.
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