Studying crossover genotype × environment interaction using linear-bilinear models and mixed models

By Jose Crossa, Rong‐Cai Yang, P. Cornelius. 2004

106 citations recorded by the source corpus.

Subfields: Animal Science and Zoology, Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/867d23227395c6ad4b7d10fc474fcbd20fec6f27

How researchers see this paper

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

In Animal Science and Zoology

1. Juan Burgueño
2. Jose Crossa
3. G. de los Campos
4. P. Cornelius

In Genetics

1. Jose Crossa
2. Juan Burgueño
3. G. de los Campos
4. Kent A. Weigel
5. P. Pérez
6. Susanne Dreisigacker
7. Rong‐Cai Yang
8. P. Cornelius

In Plant Science

1. Jose Crossa
2. Juan Burgueño
3. G. de los Campos
4. Kent A. Weigel
5. R. Trethowan
6. Rong‐Cai Yang
7. P. Cornelius
8. P. Pérez

Citations in the corpus

• Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution (2009, methodology): “Previous research (e.g., Cornelius et al., 1993; Crossa et al., 1995; Crossa and Cornelius, 1997; Crossa et al., 2004) has used the proportionality properties and constrained SHMM and SREG solutions for subsetting groups of environments or genotypes within which COIs are negligible.”
• High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy (2007, methodology): “It has been found in several international multisite trials involving bread and durum wheat that genotypes within clusters are genetically more similar than those belonging to distinct clusters (Crossa et al. 2004).”
• Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers (2012, methodology): “…interaction can be incorporated into additive infi nitesimal models (e.g., Fisher, 1918; Wright, 1921) by means of genetic and environmental covariances (e.g., Piepho, 1997, 1998, 2009; Smith et al., 2001; Crossa et al., 2004, 2006; Oakey et al., 2006; Burgueño et al., 2007, 2008, 2011).”
• Modeling genotype × environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes (2006, methodology): “These models are the same as Eq. [21.10] of Smith et al. (2002, p. 323–335) and those used by Crossa et al. (2004) .”
• Genomic Selection and Prediction in Plant Breeding (2011, methodology): “2001 ; Crossa, Yang, & Cornelius 2004 ); here we describe this method as applied to estimates of marker effects.”