Browsing by Author "Lillemo, M."
Now showing items 1-20 of 21
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Article
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
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. (Genetics Society of America, 2019)
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Article
A European perspective on opportunities and demands for field-based crop phenotyping
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. (Elsevier, 2022)
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Article
A major yellow rust resistance QTL on chromosome 6A shows increased frequency in recent Norwegian spring wheat cultivars and breeding lines
Min Lin; Jon Arne Dieseth; Alsheikh, M.; Ennian Yang; Holzapfel, J.; Schürmann, F.; Morales, L.; Michel, S.; Buerstmayr, H.; Bhavani, S.; Lillemo, M. (Springer, 2023)
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Article
A marker weighting approach for enhancing within-family accuracy in genomic prediction
Montesinos-Lopez, O.A.; Crespo Herrera, L.A.; Xavier, A.; Gowda, M.; Beyene, Y.; Saint Pierre, C.; Rosa-Santamaria, R. de la; Salinas-Ruiz, J.; Gerard, G.S.; Vitale, P.; Dreisigacker, S.; Lillemo, M.; Grignola, F.; Sarinelli, M.; Pozzo, E.; Quiroga, M.; Montesinos-Lopez, A.; Crossa, J. (Genetics Society of America, 2024)
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Article
A new deep learning calibration method enhances genome-based prediction of continuous crop traits
Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Mosqueda-Gonzalez, B.A.; Bentley, A.R.; Lillemo, M.; Varshney, R.K.; Crossa, J. (Frontiers, 2021)
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Article
Approximate genome-based kernel models for large data sets including main effects and interactions
Cuevas, J.; Montesinos-Lopez, O.A.; Martini, J.W.R.; Perez-Rodriguez, P.; Lillemo, M.; Crossa, J. (Frontiers, 2020)
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Book Chapter
Chapter 9. Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction
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. (Humana Press Inc., 2022)
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Article
Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding
Montesinos-Lopez, O.A.; Gonzalez, H.N.; Montesinos-Lopez, A.; Daza-Torres, M.; Lillemo, M.; Montesinos-Lopez, J.C.; Crossa, J. (Wiley, 2022)
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Article
Deep learning methods improve genomic prediction of wheat breeding
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. (Frontiers Media S.A., 2024)
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Dwarfing genes Rht-B1b and Rht-D1b are associated with both Type I FHB susceptibility and low anther extrusion in two bread wheat populations
Xinyao He; Singh, P.K.; Dreisigacker, S.; Sukhwinder-Singh; Lillemo, M.; Duveiller, E. (Public Library of Science, 2016)
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Presentation
Dwarfing genes Rht-B1b and Rht-D1b are associated with Type I FHB susceptibility and low anther extrusion in two bread wheat populations
Xinyao He; Sukhwinder-Singh; Duveiller, E.; Lillemo, M.; Dreisigacker, S.; Singh, P.K. (CIMMYT, 2016)
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Article
Efficacy of plant breeding using genomic information
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. (John Wiley and Sons Inc, 2023)
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Article
Evaluation of strategies to optimize training populations for genomic prediction in oat (Avena sativa)
Sørensen, E.S.; Jansen, C.; Windju, S.; Crossa, J.; Sonesson, A.K.; Lillemo, M.; Alsheikh, M. (Wiley, 2023)
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Article
Genetic analysis of partial resistance to powdery mildew in bread wheat line Saar
Lillemo, M.; Skinnes, H.; Singh, R.P.; Ginkel, M. van (American Phytopathological Society (APS), 2006)
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Article
Global Wheat Head Detection 2021: an improved dataset for benchmarking wheat head detection methods
David, E.; Serouart, M.; Smith, D.; Madec, S.; Velumani, K.; Shouyang Liu; Xu Wang; Pinto Espinosa, F.; Shafiee, S.; Tahir, I.S.A.; Hisashi Tsujimoto; Shuhei Nasuda; Bangyou Zheng; Kirchgessner, N.; Aasen, H.; Hund, A.; Sadhegi-Tehran, P.; Koichi Nagasawa; Goro Ishikawa; Dandrifosse, S.; Carlier, A.; Dumont, B.; Mercatoris, B.; Evers, B.; Ken Kuroki; Haozhou Wang; Masanori Ishii; Badhon, M.A.; Pozniak, C.J.; LeBauer, D.S.; Lillemo, M.; Poland, J.A.; Chapman, S.; Solan, B.de; Baret, F.; Stavness, I.; Wei Guo (Science Partner Journals; AAAS, 2021)
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Handbook
Guide to bread wheat breeding at CIMMYT
Ginkel, M. van; Trethowan, R.M.; Ammar, K.; Jiankang Wang; Lillemo, M. (CIMMYT, 2002)
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Article
Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheat
Mróz, T.; Shafee, S.; Crossa, J.; Montesinos-Lopez, O.A.; Lillemo, M. (Springer Netherlands, 2024)
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Article
Partial least squares enhances genomic prediction of new environments
Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Kismiantini; Roman-Gallardo, A.; Gardner, K.A.; Lillemo, M.; Fritsche-Neto, R.; Crossa, J. (Frontiers, 2022)
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Article
QTL characterization of fusarium head blight resistance in CIMMYT bread wheat line soru#1
Xinyao He; Lillemo, M.; JianRong Shi; Jirong Wu; Bjornstad, A.; Belova, T.; Dreisigacker, S.; Duveiller, E.; Singh, P.K. (Public Library of Science, 2016)
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Article
An R Package for Bayesian analysis of multi-environment and multi-trait multi-environment data for genome-based prediction
Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Luna-Vazquez, F.J.; Toledo, F.H.; Perez-Rodriguez, P.; Lillemo, M.; Crossa, J. (Genetics Society of America, 2019)