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Modelación de la interacción genotipo x ambiente en rendimiento de hibridos de maiz blanco en ambientes múltiples 

Lozano-Ramírez, A.; Santacruz-Varela, A.; San-Vicente-García, F.; Crossa, J.; Burgueño, J.; Molina-Galán, J.D. (Sociedad Mexicana de Fitogenética, 2015)
Los programas de fitomejoramiento enfocados a la obtención de genotipos con mayor rendimiento y estables en una amplia gama de condiciones ambientales enfrentan factores ambientales que enmascaran el potencial de los ...
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Pedigree-based prediction models with genotype × environment interaction in multi-environment trials of CIMMYT wheat 

Sukumaran, S.; Crossa, J.; Jarquin, D.; Reynolds, M.P. (Crop Science Society of America (CSSA), 2017)
Genotype × environment (G × E) interaction can be studied through multienvironment trials used to select wheat (Triticum aestivum L.) lines. We used spring wheat yield data from 136 international environments to evaluate ...
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Heterosis and combining ability of CIMMYT's tropical early and intermediate maturity maize (Zea mays L.) germplasm 

Beck, D.L.; Vasal, S.K.; Crossa, J. (Consiglio per la Ricerca e la sperimentazione in Agricoltura, Unità di Ricerca per la Maiscoltura, 1990)
A 10 parent diallel was formed to determine combining ability and heterotic patterns among CIMMYT'S tropically adapted, early and intermediate maturity maize (Zea mays L.) gene pools and populations. The parents and their ...
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Sampling strategies for conserving maize diversity when forming core subsets using genetic markers 

Franco, J.; Crossa, J.; Warburton, M.L.; Taba, S. (Crop Science Society of America (CSSA), 2006)
Core subsets can be formed on the basis of molecular markers and different sampling strategies. This research used genetic markers on three maize data sets for studying 24 stratified sampling strategies to investigate which ...
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IBFIELDBOOK, an integrated breeding field book for plant breeding 

Lugo-Espinosa, O.; Sanchez-Gutierrez, T.M.; Camarena-Sagredo, J.G.; Vargas Hernández, M.; Alvarado Beltrán, G.; Jarquin, D.; Burgueño, J.; Crossa, J.; Sanchez-Villeda, H. (Sociedad Mexicana de Fitogenética, 2013)
The development of an integrated breeding field book (IBFieldbook) for different crops involves the generation, handling and analysis of large amounts of data. Managing the integration of environmental, pedigree, and ...
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Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data 

Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Crossa, J.; De los Campos, G.; Alvarado Beltrán, G.; Mondal, S.; Rutkoski, J.; Gonzalez-Perez, L.; Burgueño, J. (BioMed Central, 2017)
Modern agriculture uses hyperspectral cameras to obtain hundreds of reflectance data measured at discrete narrow bands to cover the whole visible light spectrum and part of the infrared and ultraviolet light spectra, ...
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Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data 

Montesinos-López, A.; Montesinos-Lopez, O.A.; Cuevas, J.; Mata-López, W.A.; Burgueño, J.; Mondal, S.; Huerta-Espino, J.; Singh, R. P.; Autrique, E.; Gonzalez-Perez, L.; Crossa, J. (BioMed Central, 2017)
Modern agriculture uses hyperspectral cameras that provide hundreds of reflectance data at discrete narrow bands in many environments. These bands often cover the whole visible light spectrum and part of the infrared and ...
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Diseños experimentales con testigos repetidos 

Burgueño, J.; Martinez-Garza, A.; Crossa, J.; Mastache-Lagunas, A. (Colegio de Postgraduados, 2005)
In some stages of the breeding of crops, breeders must select the most promising lines from a very large number of sets of new varieties. Selection is conducted via direct comparison of new varieties that are tested within ...
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Heterosis and combining ability of CIMMYT's tropical late white maize germplasm 

Vasal, S.K.; Srinivasan, G.; Beck, D.L.; Crossa, J.; Pandey, S.; De León, C. (Consiglio per la Ricerca e la sperimentazione in Agricoltura, Unità di Ricerca per la Maiscoltura, 1992)
Seven tropically adepted, late maturity maize gene pools and populations (Populations 21, 22, 25, 29, 32 and 43, and Pool 24) developed and improved at CIMMYT were crossed in a 7 x 7 diallel mating system. The parent and ...
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Applications of machine learning methods to genomic selection in breeding wheat for rust resistance 

González-Camacho, J.M; Ornella, L.; Pérez-Rodríguez, P.; Gianola, D.; Dreisigacker, S.; Crossa, J. (Crop Science Society of America, 2018)
New methods and algorithms are being developed for predicting untested phenotypes in schemes commonly used in genomic selection (GS). The prediction of disease resistance in GS has its own peculiarities: a) there is consensus ...
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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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Author
Crossa, J. (221)
Pérez-Rodríguez, P. (53)Montesinos-Lopez, O.A. (52)Burgueño, J. (46)Singh, R.P. (36)Montesinos-López, A. (33)Dreisigacker, S. (27)Jarquin, D. (24)Prasanna, B.M. (24)Juliana, P. (22)... View More
Date Issued
2020 - 2023 (89)2010 - 2019 (117)2000 - 2009 (12)1990 - 1999 (3)
Type
Article (221)
Agrovoc
GENOMICS (52)MARKER-ASSISTED SELECTION (46)WHEAT (46)MAIZE (45)PLANT BREEDING (38)GENOTYPE ENVIRONMENT INTERACTION (37)BAYESIAN THEORY (26)STATISTICAL METHODS (25)BREEDING (19)FORECASTING (19)... View More
Keywords
Genomic Selection (42)Shared Data Resources (22)GenPred (21)Genomic Prediction (19)Prediction Accuracy (7)Deep Learning (5)Wheat Breeding (5)GBLUP (4)Genomic Enabled Prediction (4)Count Data (3)... View More
Region
Global (24)Mexico (2)North Africa (2)Africa South of Sahara (1)Central America (1)... View More
CGIAR Initiative
Accelerated Breeding (2)Plant Health (1)
CGIAR Impact Area
Climate adaptation & mitigation (2)Nutrition, health & food security (1)Poverty reduction, livelihoods & jobs (1)
CGIAR Action Area
Genetic Innovation (2)
CGIAR Donor or Funder
USAID (2)Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AG2MW) (1)Agricultural Agreement Research Fund (JA) in Norway (1)B&MGF (1)Bill & Melinda Gates Foundation (1)... View More


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