Sivakumar Sukumaran
Sivakumar Sukumaran
Scientist & Lead : Spring Bread Wheat Pre-Breeding and Genetics, CIMMYT, Mexico
Verified email at - Homepage
Cited by
Cited by
Genome-wide association study for grain yield and related traits in an elite spring wheat population grown in temperate irrigated environments
S Sukumaran, S Dreisigacker, M Lopes, P Chavez, M Reynolds
Theoretical and Applied Genetics 128 (2), 353-363, 2015
Genetic characterization of the wheat association mapping initiative (WAMI) panel for dissection of complex traits in spring wheat
MS Lopes, S Dreisigacker, RJ Pena, S Sukumaran, M Reynolds
Theoretical and Applied Genetics 128 (3), 453-464, 2015
Population Structure and Marker–trait Association Analysis of the US Peanut (arachis hypogaea l.) Mini-core Collection
ML Wang, S Sukumaran, NA Barkley, Z Chen, CY Chen, B Guo, ...
Theoretical and Applied Genetics 123 (8), 1307-1317, 2011
Genome-wide association analyses identify QTL hotspots for yield and component traits in durum wheat grown under yield potential, drought, and heat stress environments
S Sukumaran, MP Reynolds, C Sansaloni
Frontiers in Plant Science 9, 81, 2018
Association Mapping for Grain Quality in a Diverse Sorghum Collection
S Sukumaran, W Xiang, SR Bean, JF Pedersen, S Kresovich, MR Tuinstra, ...
The Plant Genome 5 (3), 126-135, 2012
Genetic analysis of multi-environmental spring wheat trials identifies genomic regions for locus-specific trade-offs for grain weight and grain number
S Sukumaran, M Lopes, S Dreisigacker, M Reynolds
Theoretical and Applied Genetics 131 (4), 985-998, 2018
Phenotypic and genome-wide association analysis of spike ethylene in diverse wheat genotypes under heat stress
R Valluru, M P. Reynolds, W J. Davies, S Sukumaran
New Phytologist, 2017
Strategic crossing of biomass and harvest index—source and sink—achieves genetic gains in wheat
M Reynolds, A Pask, W Hoppitt, K Sonder, S Sukumaran, et al
Euphytica, 213-257, 2017
Breeder Friendly Phenotyping
M Reynolds, S Chapman, G Molero, S Mondal, F Pinto, FJ Pinera-Chavez, ...
Plant Science 295 (June 2020), 110396, 2020
Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico
S Sukumaran, J Crossa, D Jarquin, M Reynolds
G3: Genes, Genomes, Genetics 7 (2), 481-495, 2017
Genome-wide Association Study for Adaptation to Agronomic Plant Density: A Component of High Yield Potential in Spring Wheat
S Sukumaran, M Reynolds, M Lopes, J Crossa
Crop Science 55, 1-11, 2015
Association mapping of genetic resources: achievements and future perspectives
S Sukumaran, J Yu
Genomics of plant genetic resources, 207-235, 2014
Identification of Earliness per se Flowering Time Locus in Spring Wheat through a Genome-wide Association Study
S Sukumaran, M Lopes, L Dixon, M Zikhali, S Griffiths, B Zheng, ...
Crop Science 56 (6), 2962-2672, 2016
Molecular Marker-Based Selection Tools in Spring Bread Wheat Improvement: CIMMYT Experience and Prospects
S Dreisigacker, S Sukumaran, C Guzmán, X He, C Lan, D Bonnett, ...
Molecular Breeding for Sustainable Crop Improvement 11, 421-474, 2016
QTL Mapping for Grain Yield, Flowering Time, and Stay-Green Traits in Sorghum Using Genotyping-By-Sequencing Markers
S Sukumaran, X Li, X Li, C Zhu, G Bai, P Perumal, M Tuinstra, ...
Crop Science 56, 1-14, 2016
Genomic-enabled prediction accuracies increased by modeling genotype x environment interaction in Durum wheat
S Sukumaran, D Jarquin, C Crossa, M Reynolds
The Plant Genome 11 (2), 1-11, 2018
Genetic dissection of heat and drought stress QTLs in a phenology controlled synthetic derived recombinant inbred lines in spring wheat
C Liu, S Sukumaran, E Claverie, C Sansaloni, S Dreisigacker, ...
Molecular Breeding 2019 39 (34), 2019
CGIAR modeling approaches for resource‐constrained scenarios: II. Accelerating crop breeding for a changing climate
J Ramirez‐Villegas, AM Milan, N Alexandrov, S Asseng, AJ Challinor, ...
Crop Science 2020, 1–21., 2020
Pedigree-based prediction models with genotype x environment interaction in multi-environment trails of CIMMYT wheat
S Sukumaran, J Crossa, D Jarquin, M Reynolds
Crop Science 57 (4), 1-16, 2017
“SpeedGS” to accelerate genetic gain in spring wheat
KP Voss-Fels, E Herzog, S Dreisigacker, S Sukumaran, A Watson, ...
Applications of genetic and genomic research in cereals, 303-327, 2019
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