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A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize ( Zea mays L.)

Malosetti, M.; Ribaut, J.M.; Vargas Hernández, M.; Crossa, J.; Eeuwijk, F. A. van (Springer, 2013)

1.4 screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations

Federer, W.T.; Crossa, J. (Frontiershttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3365830/, 2013)

Optimizing multi-environment testing in potato breeding: using heritability estimates to determine number of replications, sites, and years for field trials

Ortiz, R.; Reslow, F.; Huicho, J.; Vetukuri, R.R.; Crossa, J. (Springer Netherlands, 2023)

Estimation of genetic parameters for height using spatial analysis in Tsuga heterophylla full-sibling family trials in British Columbia

Cappa, Eduardo Pablo; Yanchuk, A. D.; Cartwright, C. V. (De Gruyter, 2015-01)

Non-spatial and spatial analyses were carried out to study the effects on genetic parameters in ten-year height growth data across two series of 10 large second-generation full-sib progeny trials of western hemlock [Tsuga ...

Relationships between methods of variety adaptability and stability in sugarcane

Paula, T.O. Mendes de; Marinho, C.D.; Souza, V.; Barbosa, M.H.P.; Peternelli, L.A.; Kimbeng, C.A.; Zhou, M.M. (Genetics and Molecular Research, 2017)

Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials

Montesinos-Lopez, A.; Runcie, D.E.; Ibba, M.I.; Perez-Rodriguez, P.; Montesinos-Lopez, O.A.; Crespo Herrera, L.A.; Bentley, A.R.; Crossa, J. (Genetics Society of America, 2021)

A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora.

FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; GARCIA, A. A. F. (2017)

Genome-Based Genotype × Environment Prediction Enhances Potato (Solanum tuberosum L.) Improvement Using Pseudo-Diploid and Polysomic Tetraploid Modeling

Ortiz, R.; Crossa, J.; Reslow, F.; Perez-Rodriguez, P.; Cuevas, J. (Frontiers, 2022)

Multi-trait Multi-environment Quantitative Trait Loci Mapping For A Sugarcane Commercial Cross Provides Insights On The Inheritance Of Important Traits

Margarido; G. R. A.; Pastina; M. M.; Souza; A. P.; Garcia; A. A. F. (SPRINGERDORDRECHT, 2015)

Models for optimizing selection based on adaptability and stability of cotton genotypes.

PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FARIAS, F. J. C.; CARVALHO, L. P.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. (2021)

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