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Article
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Cluster analysis, an approach to sampling variability in maize accessions 

Rincón-Sánchez, Froylan; Johnson, B.; Crossa, J.; Taba, S. (Consiglio per la Ricerca e la sperimentazione in Agricoltura, Unità di Ricerca per la Maiscoltura, 1996)
Cluster analysis is frequently used to classify maize (Zen mays L.) accessions and can be used by breeders and geneticists to identify subsets of accessions which have potential utility for specific breeding or genetic ...
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Identification of drought, heat, and combined drought and heat tolerant donors in maize 

Cairns, J.E.; Crossa, J.; Zaidi, P.H.; Grudloyma, P.; Sanchez, C.; Araus, J.L.; Thaitad, S.; Makumbi, D.; Magorokosho, C.; Bänziger, M.; Menkir, A.; Hearne, S.; Atlin, G.N. (Crop Science Society of America (CSSA), 2013)
Low maize (Zea maysL.) yields and the impacts of climate change on maize production highlight the need to improve yields in eastern and southern Africa. Climate projections suggest higher temperatures within drought-prone ...
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Identification of superior quality protein maize hybrids for different mega-environments using the biplot methodology 

Preciado-Ortiz, R.; Guerrero, R.; Ortega Corona, A.; Terron, A.; Crossa, J.; Córdova, H.S.; Reyes, C.; Aguilar, G.; Tut, C.; Gomez, N.; Cervantes, E. (Consiglio per la Ricerca e la sperimentazione in Agricoltura, Unità di Ricerca per la Maiscoltura, 2006)
The utilization of site regression models (SREG) on multilocation testing allow the detection of significant differences in the genotype x environment interaction, even though these may not be detected by the analysis of ...
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Molecular mapping across three populations reveals a QTL hotspot region on chromosome 3 for secondary traits associated with drought tolerance in tropical maize 

Almeida, G.D.; Nair, S.; Borém, A.; Cairns, J.; Trachsel, S.; Ribaut, J.M.; Bänziger, M.; Prasanna, B.M.; Crossa, J.; Babu, R. (Springer; Springer Nature, 2014)
Identifying quantitative trait loci (QTL) of sizeable effects that are expressed in diverse genetic backgrounds across contrasting water regimes particularly for secondary traits can significantly complement the conventional ...
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Improving maize grain yield under drought stress and non-stress environments in Sub-Saharan Africa using marker-assisted recurrent selection 

Beyene, Y.; Semagn, K.; Crossa, J.; Mugo, S.; Atlin, G.; Amsal Tesfaye Tarekegne; Meisel, B.; Sehabiague, P.; Vivek, B.; Oikeh, S.O.; Alvarado, G.; Machida, L.; Olsen, M.; Prasanna, B.M.; Bänziger, M. (Crop Science Society of America (CSSA), 2016)
In marker-assisted recurrent selection (MARS), a subset of molecular markers significantly associated with target traits of interest are used to predict the breeding value of individual plants, followed by rapid recombination ...
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Seedling vigor inheritance and its relationship to adult plant traits in inbred tropical maize lines 

Cervantes-Ortiz, F.; Garcia-De los Santos, G.; Carballo-Carballo, A.; Bergvinson, D.; Crossa, J.; Mendoza Elos, M.; Moreno-Martinez, E. (Colegio de Postgraduados, 2007)
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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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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)
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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)
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A genomic selection index applied to simulated and real data 

Ceron Rojas, J.J.; Crossa, J.; Arief, V.N.; Basford, K.E.; Rutkoski, J.; Jarquin, D.; Alvarado, G.; Beyene, Y.; Fentaye Kassa Semagn; DeLacy, I.H. (Genetics Society of America, 2015)
A genomic selection index (GSI) is a linear combination of genomic estimated breeding values that uses genomic markers to predict the net genetic merit and select parents from a nonphenotyped testing population. Some authors ...
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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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Author
Crossa, J. (49)
Boddupalli, Prasanna (20)Olsen, Michael (20)Beyene, Y. (18)Burgueño, J. (12)ZHANG, XUECAI (12)Pérez-Rodríguez, Paulino (10)Gowda, Manje (9)Makumbi, D. (9)San Vicente Garcia, Felix (9)... View More
Date Issued
2020 - 2021 (9)2010 - 2019 (29)2000 - 2009 (8)1990 - 1999 (3)
Type
Article (43)Presentation (4)Book (1)Report (1)
Agrovoc
MAIZE (31)GENOMICS (10)MARKER-ASSISTED SELECTION (10)ZEA MAYS (8)DROUGHT TOLERANCE (6)GENOTYPE ENVIRONMENT INTERACTION (5)PLANT BREEDING (5)QUANTITATIVE TRAIT LOCI (5)BREEDING (4)COMBINING ABILITY (4)... View More
Keywords
Genomic Selection (6)GenPred (5)Shared Data Resources (5)Genomic Prediction (2)Allocation of Nonoverlapping (1)AMMI (1)Bayesian LASSO (1)Beta-Carotene (1)Beta-Cryptoxanthin (1)Biofortification (1)... View More
Region
Global (12)Central America (1)West Africa (1)


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