Maria Camila Rebolledo

Centre de Coopération Internationale en Recherche Agronomique pour le Développement — France

Agricultural and Biological Sciences · Life Sciences

8h-index389citations12works0.02yr avg
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Research Topics

Rice Cultivation and Yield Improvement(5), Remote Sensing in Agriculture(4), Genetic Mapping and Diversity in Plants and Animals(4), GABA and Rice Research(4), Smart Agriculture and AI(3)

Publications12 total

Consistent yield performance of rice genotypes grown under irrigated conditions in wet and dry seasons in West Africa
Field Crops Research·2023· 5 cited
Characterization of Rice Yield Based on Biomass and SPAD-Based Leaf Nitrogen for Large Genotype Plots
Sensors·2023· 9 citedOpen Access
Understanding the complexity of disease-climate interactions for rice bacterial panicle blight under tropical conditions
PLoS ONE·2021· 9 citedOpen Access
Tolerance to low radiation during grain filling stage in rice
2020· 3 cited
GWAS for low radiation tolerance during grain filling in rice (Oryza sativa L.)
2020
A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops
PLoS ONE·2020· 23 citedOpen Access
High-Throughput Biomass Estimation in Rice Crops Using UAV Multispectral Imagery
Journal of Intelligent & Robotic Systems·2019· 70 cited
Genome-wide association reveals novel genomic loci controlling rice grain yield and its component traits under water-deficit stress during the reproductive stage
Journal of Experimental Botany·2018· 50 citedOpen Access
Breeding implications of drought stress under future climate for upland rice in Brazil
Global Change Biology·2018· 60 citedOpen Access
Climate constraints and physiological characteristics of rice yields in Colombia inferred from cross location experiments
2018
Combining Image Analysis, Genome Wide Association Studies and Different Field Trials to Reveal Stable Genetic Regions Related to Panicle Architecture and the Number of Spikelets per Panicle in Rice
Frontiers in Plant Science·2016· 75 citedOpen Access
Assessing Weather-Yield Relationships in Rice at Local Scale Using Data Mining Approaches
PLoS ONE·2016· 85 citedOpen Access

Frequent Co-authors

E. Petró(6), Iván F. Mondragón(3), Julian D. Colorado(3), Gabriel Garcés Varón(2), Juan P. Rojas(2), Diego Patiño(2), Julián Ramírez-Villegas(2), Diego Méndez(2), Andrés Jaramillo-Botero(2), Nelson Amézquita(2), Sylvain Delerce(1), Hugo Dorado(1), Alexandre Grillon(1), Steven D. Prager(1), Victor Hugo Patiño(1), Daniel Jiménez(1), Alexandra L. Peña(1), Jorge Duitama(1), Daniel Felipe Cruz(1), Michaël Dingkuhn(1)