For contributors, a quick guide on creating studies can be found HERE

For dataset requests, click HERE

The International Rice Research Institute

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 10 Results
Terrain data(IRRI)
Jun 26, 2025AcceLER_Project
AcceLER_Project(IRRI)
Jun 26, 2025
IRRI Crop and GHG Global Benchmark Database(IRRI)
Aug 5, 2024
Data volume is growing by up to 20% every year and is expected to hit 175 zettabytes in the next 2-3 years. This massive amount of data comes from a wide range of sources, including scientific research, and is used by both science and business for analysis. By analyzing alternative data alongside our own experimental data, we can gain deeper insigh...
IRRI Market Analysis(International Rice Research Institute)
Nov 13, 2019
Yield stability of selected rice breeding lines and donors acrossconditions of mild to moderately severe drought stress(IRRI)
Sep 19, 2019
tAlthough mild to moderately severe drought stress may have less of an effect on rice grain yield thansevere drought stress during reproductive stage, its prevalence across rice farmers’ fields at the globallevel may be more economically significant. In this study, field experiments were conducted on selectedgenotypes with known tolerance to severe...
Stomatal conductance responses to evaporative demand conferred by rice drought-yield quantitative trait locus qDTY12.1(IRRI)
Sep 19, 2019
Rice quantitative trait locus (QTL) qDTY12.1 is a major-effect drought yield QTL that was identified from a cross of Vandana (recipient parent) and Way Rarem (donor parent) through breeding efforts to improve rice yield under upland drought stress conditions. The two main physiological effects previously observed to be related to the presence of qD...
Rice Root Architectural Plasticity Traits and Genetic Regions for Adaptability to Variable Cultivation and Stress Conditions(IRRI)
Sep 19, 2019
Future rice (Oryza sativa) crops will likely experience a range of growth conditions, and root architectural plasticity will be an important characteristic to confer adaptability across variable environments. In this study, the relationship between root architectural plasticity and adaptability (i.e. yield stability) was evaluated in two traditiona...
Physiological mechanisms contributing to the QTL qDTY3.2 effects on improved performance of rice Moroberekan x Swarna BC2F3:4 lines under drought(IRRI)
Sep 19, 2019
Traditional rice (Oryza sativa) varieties are valuable resources for the improvement of drought resistance. qDTY3.2 is a drought-yield quantitative trait locus that was identified in a population derived from the traditional variety Moroberekan and the drought-susceptible variety Swarna. In this study, our aim was to characterize the physiological...
IRRI Long Term Continuous Cropping Experiment(International Rice Research Institute)
Nov 5, 2018
Data of the IRRI long term continuous cropping experiment since 1968.
Alternate Wetting and Drying for Cagayan Dataverse(IRRI)
Dec 5, 2015
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.