Genetic analysis of partial resistance to powdery mildew in bread wheat line Saar

by Lillemo, M., Skinnes, H., Singh, R.P., Ginkel, M. van
Published 2006

Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring...

by Mróz, T., Shafee, S., Crossa, J., Montesinos-Lopez, O.A., Lillemo, M.
Published 2024

Dwarfing genes Rht-B1b and Rht-D1b are associated with both Type I FHB susceptibility and low anther extrusion in two bread wheat populations

by Xinyao He, Singh, P.K., Dreisigacker, S., Sukhwinder-Singh, Lillemo, M., Duveiller, E.
Published 2016

Guide to bread wheat breeding at CIMMYT

by Ginkel, M. van, Trethowan, R.M., Ammar, K., Jiankang Wang, Lillemo, M.
Published 2002

Dwarfing genes Rht-B1b and Rht-D1b are associated with Type I FHB susceptibility and low anther extrusion in two bread wheat populations

by Xinyao He, Sukhwinder-Singh, Duveiller, E., Lillemo, M., Dreisigacker, S., Singh, P.K.
Published 2016

Evaluation of strategies to optimize training populations for genomic prediction in oat (Avena sativa)

by Sørensen, E.S., Jansen, C., Windju, S., Crossa, J., Sonesson, A.K., Lillemo, M., Alsheikh, M.
Published 2023

Approximate genome-based kernel models for large data sets including main effects and interactions

by Cuevas, J., Montesinos-Lopez, O.A., Martini, J.W.R., Perez-Rodriguez, P., Lillemo, M., Crossa, J.
Published 2020

QTL characterization of fusarium head blight resistance in CIMMYT bread wheat line soru#1

by Xinyao He, Lillemo, M., JianRong Shi, Jirong Wu, Bjornstad, A., Belova, T., Dreisigacker, S., Duveiller, E., Singh, P.K.
Published 2016

A new deep learning calibration method enhances genome-based prediction of continuous crop traits

by Montesinos-Lopez, O.A., Montesinos-Lopez, A., Mosqueda-Gonzalez, B.A., Bentley, A.R., Lillemo, M., Varshney, R.K., Crossa, J.
Published 2021

An R Package for Bayesian analysis of multi-environment and multi-trait multi-environment data for genome-based prediction

by Montesinos-Lopez, O.A., Montesinos-Lopez, A., Luna-Vazquez, F.J., Toledo, F.H., Perez-Rodriguez, P., Lillemo, M., Crossa, J.
Published 2019

A major yellow rust resistance QTL on chromosome 6A shows increased frequency in recent Norwegian spring wheat cultivars and breeding lines

by Min Lin, Jon Arne Dieseth, Alsheikh, M., Ennian Yang, Holzapfel, J., Schürmann, F., Morales, L., Michel, S., Buerstmayr, H., Bhavani, S., Lillemo, M.
Published 2023

Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding

by Montesinos-Lopez, O.A., Gonzalez, H.N., Montesinos-Lopez, A., Daza-Torres, M., Lillemo, M., Montesinos-Lopez, J.C., Crossa, J.
Published 2022

Partial least squares enhances genomic prediction of new environments

by Montesinos-Lopez, O.A., Montesinos-Lopez, A., Kismiantini, Roman-Gallardo, A., Gardner, K.A., Lillemo, M., Fritsche-Neto, R., Crossa, J.
Published 2022

Seedling and adult plant resistance to powdery mildew in Chinese bread wheat cultivars and lines

by Zhulin Wang, Li, L.H., He Zhonghu, Duan, X.Y., Yilin Zhou, Chen, X.M., Lillemo, M., Singh, R.P., Wang, H., Xianchun Xia
Published 2005

A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

by Montesinos-Lopez, O.A., Montesinos-Lopez, A., Crossa, J., Cuevas, J., Montesinos-Lopez, J.C., Salas Gutiérrez, Z., Lillemo, M., Juliana, P., Singh, R.P.
Published 2019

A European perspective on opportunities and demands for field-based crop phenotyping

by Morisse, M., Wells, D.M., Millet, E.J., Lillemo, M., Fahrner, S., Cellini, F., Lootens, P., Muller, O., Herrera, J.M., Bentley, A.R., Janni, M.
Published 2022

Efficacy of plant breeding using genomic information

by Montesinos-Lopez, O.A., Bentley, A.R., Saint Pierre, C., Crespo Herrera, L.A., Rebollar-Ruellas, L., Valladares-Celis, P.C., Lillemo, M., Montesinos-Lopez, A., Crossa, J.
Published 2023

Chapter 9. Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction

by Crossa, J., Montesinos-Lopez, O.A., Perez-Rodriguez, P., Costa-Neto, G., Fritsche-Neto, R., Ortiz, R., Martini, J.W.R., Lillemo, M., Montesinos-Lopez, A., Jarquín, D., Breseghello, F., Cuevas, J., Rincent, R.
Published 2022

Genome and environment based prediction models and methods of complex traits incorporating genotype × environment interaction.

by CROSSA, J., MONTESINOS-LÓPEZ, O. A., PÉREZ-RODRÍGUEZ, P., COSTA-NETO, G., FRITSCHE-NETO, R., ORTIZ, R., MARTINI, J. W. R., LILLEMO, M., MONTESINOS-LÓPEZ, A., JARQUIN, D., BRESEGHELLO, F., CUEVAS, J., RINCENT, R.
Published 2022-05-29

Deep learning methods improve genomic prediction of wheat breeding

by Montesinos-Lopez, A., Crespo Herrera, L.A., Dreisigacker, S., Gerard, G.S., Vitale, P., Saint Pierre, C., Velu, G., Tarekegn, Z.T., Chavira-Flores, M., Perez-Rodriguez, P., Ramos-Pulido, S., Lillemo, M., Huihui Li, Montesinos-Lopez, O.A., Crossa, J.
Published 2024