Marcos Malosetti
Marcos Malosetti
Applied Mathematics and Statistic Group, Wageningen University
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Cited by
Cited by
The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis
M Malosetti, JM Ribaut, FA van Eeuwijk
Frontiers in physiology 4, 37433, 2013
Genome-wide association studies for agronomical traits in a world wide spring barley collection
RK Pasam, R Sharma, M Malosetti, FA van Eeuwijk, G Haseneyer, ...
BMC plant biology 12, 1-22, 2012
A Mixed-Model Approach to Association Mapping Using Pedigree Information With an Illustration of Resistance to Phytophthora infestans in Potato
M Malosetti, CG Van der Linden, B Vosman, FA Van Eeuwijk
Genetics 175 (2), 879-889, 2007
Genotype× environment interaction QTL mapping in plants: lessons from Arabidopsis
M El-Soda, M Malosetti, BJ Zwaan, M Koornneef, MGM Aarts
Trends in plant science 19 (6), 390-398, 2014
What should students in plant breeding know about the statistical aspects of genotype× environment interactions?
FA Van Eeuwijk, DV Bustos‐Korts, M Malosetti
Crop Science 56 (5), 2119-2140, 2016
Multi-environment QTL mixed models for drought stress adaptation in wheat
KL Mathews, M Malosetti, S Chapman, L McIntyre, M Reynolds, R Shorter, ...
Theoretical and Applied Genetics 117, 1077-1091, 2008
A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.)
M Malosetti, JM Ribaut, M Vargas, J Crossa, FA Van Eeuwijk
Euphytica 161, 241-257, 2008
Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding
FA Van Eeuwijk, D Bustos-Korts, EJ Millet, MP Boer, W Kruijer, ...
Plant science 282, 23-39, 2019
Marker-based estimation of heritability in immortal populations
W Kruijer, MP Boer, M Malosetti, PJ Flood, B Engel, R Kooke, ...
Genetics 199 (2), 379-398, 2015
Mixed models including environmental covariables for studying QTL by environment interaction
M Malosetti, J Voltas, I Romagosa, SE Ullrich, FA Van Eeuwijk
Euphytica 137, 139-145, 2004
Association mapping of salt tolerance in barley (Hordeum vulgare L.)
NV Long, O Dolstra, M Malosetti, B Kilian, A Graner, RGF Visser, ...
Theoretical and applied genetics 126, 2335-2351, 2013
Studying the genetic basis of drought tolerance in sorghum by managed stress trials and adjustments for phenological and plant height differences
PK Sabadin, M Malosetti, MP Boer, FD Tardin, FG Santos, CT Guimaraes, ...
Theoretical and Applied Genetics 124, 1389-1402, 2012
Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models
FA van Eeuwijk, M Malosetti, X Yin, PC Struik, P Stam
Australian Journal of Agricultural Research 56 (9), 883-894, 2005
Genome-wide association mapping of frost tolerance in barley (Hordeum vulgare L.)
A Visioni, A Tondelli, E Francia, A Pswarayi, M Malosetti, J Russell, ...
BMC genomics 14, 1-13, 2013
Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model
JG Velazco, MX Rodríguez-Álvarez, MP Boer, DR Jordan, PHC Eilers, ...
Theoretical and Applied Genetics 130, 1375-1392, 2017
A mixed model QTL analysis for sugarcane multiple-harvest-location trial data
MM Pastina, M Malosetti, R Gazaffi, M Mollinari, GRA Margarido, ...
Theoretical and Applied Genetics 124, 835-849, 2012
Predicting responses in multiple environments: issues in relation to genotype× environment interactions
M Malosetti, D Bustos‐Korts, MP Boer, FA van Eeuwijk
Crop science 56 (5), 2210-2222, 2016
Sampling strategy to develop a core collection of Uruguayan maize landraces based on morphological traits
M Malosetti, T Abadie
Genetic Resources and Crop Evolution 48, 381-390, 2001
QTL methodology for response curves on the basis of non-linear mixed models, with an illustration to senescence in potato
M Malosetti, RGF Visser, C Celis-Gamboa, FA Van Eeuwijk
Theoretical and applied genetics 113, 288-300, 2006
Modelling of genotype by environment interaction and prediction of complex traits across multiple environments as a synthesis of crop growth modelling, genetics and statistics
D Bustos-Korts, M Malosetti, S Chapman, F van Eeuwijk
Crop Systems Biology: Narrowing the gaps between crop modelling and genetics …, 2016
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