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Now showing items 21-29 of 29

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Article
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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, 2008)
Despite QTL mapping being a routine procedure in plant breeding, approaches that fully exploit data from multi-trait multi-environment (MTME) trials are limited. Mixed models have been proposed both for multi-trait QTL ...
Article
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Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat 

Pérez-Rodríguez, P.; Gianola, D.; Gonzalez-Camacho, J.M.; Crossa, J.; Manes, Y.; Dreisigacker, S. (Genetics Society of America, 2012)
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression models have been used. This study assessed the predictive ability of linear and non-linear models using dense molecular markers. The ...
Article
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Genomic selection in wheat breeding using genotyping-by-sequencing 

Poland, J.; Endelman, J.; Dawson, J.; Rutkoski, J.; Shuangye Wu; Manes, Y.; Dreisigacker, S.; Crossa, J.; Sanchez-Villeda, H.; Sorrells, M.E.; Jannink, J.L. (Crop Science Society of America, 2012)
Genomic selection (GS) uses genome-wide molecular markers to predict breeding values and make selections of individuals or breeding lines prior to phenotyping. Here we show that genotyping-by-sequencing (GBS) can be used ...
Article
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Genomic prediction of genetic values for resistance to wheat rusts 

Leonardo Ornella, L.; Sukhwinder Singh; Perez, P.; Burgueño, J.; Singh, R.P.; Tapia, E.; Bhavani, S.; Dreisigacker, S.; Braun, H.J.; Mathews, K.L.; Crossa, J. (Crop Science Society of America, 2012)
Durable resistance to the rust diseases of wheat (Triticum aestivum L.) can be achieved by developing lines that have race-nonspecific adult plant resistance conferred by multiple minor slow-rusting genes. Genomic selection ...
Book
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Partner survey for the CGIAR Research Program WHEAT: national and international priorities and engagement 

Audley, M.; Kommerell, V.; Jakobi, N.; Velasco, C.; Crossa, J. (CGIAR, 2014)
This document analyzes 92 responses to a 2012 survey sent by the CGIAR Research Program WHEAT to its more than 200 partners regarding their institutional priorities, engagement and activities under WHEAT strategic initiatives, ...
Book
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Maize production environments revisited: A GIS-based approach 

Hartkamp, A.D.; White, J.W.; Rodriguez, A.; Bänziger, M.; Srinivasan, G.; Granados, G.; Crossa, J. (CIMMYT, 2000)
This publication presents a GIS-based approach for revising the descriptions of global maize production environments, called "mega-environments" (MEs), used by CIMMYT and its partners. A cluster analysis was performed on ...
Report
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Dimensions of diversity in CIMMYT bread wheat from 1965 to 2000 

Smale, M.; Reynolds, M.P.; Warburton, M.L.; Skovmand, B.; Trethowan, R.M.; Singh, R.P.; Ortíz-Monasterios, I.; Crossa, J.; Khairallah, M.M.; Almanza Pinzon, M.I. (CIMMYT, 2000)
Report
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The AMMI analysis and graphing the biplot 

Vargas Hernández, M.; Crossa, J. (CIMMYT, 2000)
Handbook
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User's guide for spatial analysis of field variety trials using ASREML 

Burgueño, J.; Cadena, A.; Crossa, J.; Bänziger, M.; Gilmour, A.R.; Cullis, B. (CIMMYT, 2000)
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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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Author
Crossa, J. (29)
Burgueño, J. (4)Dreisigacker, S. (4)Pérez-Rodríguez, Paulino (4)Babu, R. (3)Banziger, M. (3)De Los Campos, Gustavo (3)Gianola, D. (3)Singh, R.P. (3)Vargas Hernández, M. (3)... View More
Date Issued
2010 - 2014 (14)2000 - 2009 (12)1990 - 1999 (3)
Type
Article (24)Book (2)Report (2)Handbook (1)
Agrovoc
MAIZE (6)STATISTICAL METHODS (6)WHEAT (6)BAYESIAN THEORY (5)SAMPLING (5)ZEA MAYS (5)COMBINING ABILITY (4)COMPUTER APPLICATIONS (4)DATA ANALYSIS (4)GENETIC MARKERS (4)... View More
Keywords
Bayesian Inference (1)Bilinear Interaction Terms (1)Combinatory Aptitude (1)Development Strategy (1)GenPred (1)Main Components (1)Mixed Model (1)Multi-Environment Trial (1)Multi-Environment Trials (1)Multi-Trait Analysis (1)... View More
Region
Global (29)


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