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

91 to 100 of 299 Results
Sep 19, 2019 - Rice Root Architectural Plasticity Traits and Genetic Regions for Adaptability to Variable Cultivation and Stress Conditions
Nitika Sandhu; K. Anitha Raman,; Rolando O. Torres; Alain Audebert; Audrey Dardou; Arvind Kumar; Amelia Henry, 2019, "Rice Root Architectural Plasticity Traits and Genetic Regions for Adaptability to Variable Cultivation and Stress Conditions", https://doi.org/10.7910/DVN/JMCSXH, Harvard Dataverse, V2, UNF:6:vcxe1JoYEbcfxyUKz9E1WA== [fileUNF]
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...
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...
Sep 19, 2019 - Physiological mechanisms contributing to the QTL qDTY3.2 effects on improved performance of rice Moroberekan x Swarna BC2F3:4 lines under drought
Alexandre Grondin; Shalabh Dixit; Rolando Torres; Challa Venkateshwarlu; Eric Rogers; Thomas Mitchell-Olds; Philip N. Benfey; Arvind Kumar; Amelia Henry, 2019, "Physiological mechanisms contributing to the QTL qDTY3.2 effects on improved performance of rice Moroberekan x Swarna BC2F3:4 lines under drought", https://doi.org/10.7910/DVN/MBSKRB, Harvard Dataverse, V1, UNF:6:TnPpK08NS3qgeQFbCVryvA== [fileUNF]
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...
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...
Jun 3, 2019
McKinley, Justin, 2019, "USAID Low-emission development: Assessment of low-emissions development technologies and practices for rice production in Bangladesh and Vietnam - Vietnam Household Survey", https://doi.org/10.7910/DVN/W3Y5DG, Harvard Dataverse, V1, UNF:6:LLEpKL/GZej2b35e+pkIrA== [fileUNF]
This dataset has cost and return data for individual households as well as knowldege, use, and perceptions of different low-emissions technologies available for rice production. The data has a specific focus on alternate wetting and drying. There are a total of 225 observations from the Mekong and Red River Deltas.
IRRI Long Term Continuous Cropping Experiment(International Rice Research Institute)
Nov 5, 2018
Data of the IRRI long term continuous cropping experiment since 1968.
Nov 4, 2018
Bhattacharya, Jayanta, 2018, "Raw data PhD thesis:The feasibility of high yielding aus-aman-rabi cropping systems in the polders of the low salinity coastal zone of Bangladesh", https://doi.org/10.7910/DVN/KN56TV, Harvard Dataverse, V2, UNF:6:DpjrPGYf4NTzE3P8+K57xA== [fileUNF]
The cropping intensity and productivity of the coastal zone of Bangladesh is much lower than that of most of the country, despite enormous investment in the construction of polders to protect the lands from tidal flooding and saline water intrusion. In the coastal zone, farmers typically grow a single crop of rice (aman) during the rainy season usi...
Sep 20, 2018
Jauhar Ali; Muhammad U. Aslam; Rida Tariq; Varunseelan Murugaiyan; Patrick Schnable; Corinne M. Nazarea; Jose Hernandez; Muhammad Arif; Jianlong Xu; Zhikang Li, 2018, "Evaluating the Genomic Diversity of Rice (Oryza sativa L.): SNP-typing in 11 Early-Backcross Introgression Breeding Populations", https://doi.org/10.7910/DVN/RRXCR3, Harvard Dataverse, V2
This study demonstrates GBS based SNP-typing in 11 early-backcross introgression populations of rice (at BC1F5), comprising a set of 564 diverse introgression lines and 12 parents. Sequencing using 10 Ion Proton runs generated a total of ~943.4 million raw reads, out of which ~881.6 million reads remained after trimming for low-quality bases. After...
Aug 7, 2018
Saha, Nibir, 2018, "Raw data of PhD research: The feasibility of high yielding triple rice systems in the polders of the low salinity coastal zone of Bangladesh", https://doi.org/10.7910/DVN/3QNYXH, Harvard Dataverse, V1, UNF:6:HwNuxPThSizBs40ISFutcg== [fileUNF]
The agricultural productivity of the polders of the coastal zone of Bangladesh is very low, despite large investments in embankments and sluice gates to protect the lands from tidal flooding and saline water intrusion. Excessive waterlogging as a result of high rainfall and poor drainage, soil salinity, severe cyclonic storms and tidal surges are m...
Jul 10, 2018
Clerget, Benoit; Bueno, Crisanta; Domingo, Abigail; Layaoen, Heathel; Vial, Leigh, 2017, "Replication Data for: Leaf emergence, tillering, plant growth, and yield in response to plant density in a high-yielding aerobic rice crop", https://doi.org/10.7910/DVN/QDITFO, Harvard Dataverse, V2, UNF:6:6GsetYnCG2fyqpNiG7kZQw== [fileUNF]
The traditional transplanted and flooded rice cropping system is threatened by water shortage and labor cost increase in many Asian countries and is currently evolving toward direct-seeded and water-saving systems. However, yield penalties generally accompany this evolution and ongoing research targets their mitigation. In a previous research, slow...
Add Data

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

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.