Author

J. Kholova

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 3 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Approach:experimental assay· 3 Organism:plant (other)· 2 Approach:statistical model· 1

Frequent Co-Authors

A. Hajjarpoor· 3 shared M. Diancumba· 2 shared S. Kaliamoorthy· 2 shared T. Murugesan· 2 shared V. Garin· 2 shared V. Vadez· 2 shared A. A. Kumar· 1 shared A. Kakkera· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersPlant Biology

A. Hajjarpoor

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Author profile →

4 papers

Recent·Most cited

Transpiration efficiency variations in the pearl millet reference collection PMiGAP

L. Gregoire, J. Kholova, R. Srivastava, C. T. Hash, Y. Vigouroux, V. Vadez

This study analyzes transpiration efficiency (TE) variation in 538 pearl millet genotypes across multiple environments, finding up to two-fold variation and highlighting its importance for drought tolerance and breeding.

bioRxiv · Feb 16, 2024Plant Biology

Characterization of the pearl millet cultivation environments in India: status and perspectives enabled by expanded data analytics and digital tools

V. Garin, S. Choudhary, T. Murugesan, S. Kaliamoorthy, M. Diancumba, A. Hajjarpoor, T. Satyavathi, S. Gupta, J. Kholova

The paper characterizes pearl millet cultivation in India using new data and models, finding regional growth and decline trends and climate impacts.

bioRxiv · Feb 18, 2023 · PreprintPlant Biology

New algorithm for pearl millet modelling in APSIM allowing a mechanistic simulation of tillers

V. Garin, E. Van Oosterom, G. McLean, G. Hammer, T. Murugesan, S. Kaliamoorthy, M. Diancumba, A. Hajjarpoor, J. Kholova

The paper introduces a new algorithm for pearl millet simulation in APSIM that improves tiller dynamics and genetic control, showing good performance in biomass and tillering but with room for improvement in tiller cessation.

bioRxiv · Feb 12, 2023 · PreprintPlant Biology

Transpiration and water use efficiency of sorghum canopies have a large genetic variability and are positively related under naturally high evaporative demand.

R. Pilloni, A. Kakkera, Z. El Ghazzal, S. Kar, A. A. Kumar, A. Hajjarpoor, P. Affortit, W. Ribiere, J. Kholova, F. Tardieu, V. Vadez

The paper examines genetic variability in sorghum transpiration and water use efficiency under varying evaporative demand, finding a positive correlation between transpiration and WUE in high evaporative demand conditions.

bioRxiv · Sep 21, 2022 · PreprintPhysiology