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The International Rice Research Institute

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71 to 80 of 289 Results
Jul 12, 2021 - IRRI Long Term Continuous Cropping Experiment
International Rice Research Institute (IRRI), 2018, "Replication Data: IRRI Long Term Continuous Cropping Experiment 1970", https://doi.org/10.7910/DVN/GK6J36, Harvard Dataverse, V2, UNF:6:HfDrlt6FTHVoVz8+1QuwVg== [fileUNF]
This study contains grain yield data collected from IRRI's long term continuous cropping experiment, 1970
Jul 12, 2021 - IRRI Long Term Continuous Cropping Experiment
International Rice Research Institute (IRRI), 2018, "Replication Data: IRRI Long Term Continuous Cropping Experiment 1969", https://doi.org/10.7910/DVN/TRII7V, Harvard Dataverse, V2, UNF:6:ZveHn4BOF12wrVTwQdoLlA== [fileUNF]
This study contains grain yield data collected from IRRI's long term continuous cropping experiment, 1969
Jul 12, 2021 - IRRI Long Term Continuous Cropping Experiment
International Rice Research Institute (IRRI), 2018, "Replication Data: IRRI Long Term Continuous Cropping Experiment 1968", https://doi.org/10.7910/DVN/TWMICE, Harvard Dataverse, V2, UNF:6:RFrxLS/AfQTQSokwO7KpSg== [fileUNF]
This study contains grain yield data collected from IRRI's long term continuous cropping experiment, 1968
Apr 18, 2021
Devkota, Krishna, 2021, "Replication data for "Land gradient and configuration effects on yield, irrigation amount and irrigation water productivity in rice-wheat and maize-wheat cropping systems in Eastern India"", https://doi.org/10.7910/DVN/GSX0MC, Harvard Dataverse, V1, UNF:6:x7SdMkOSYagxOw0lQNBJXA== [fileUNF]
The dataset includes raw/replication data of manuscript "Land gradient and configuration effects on yield, irrigation amount and irrigation water productivity in rice-wheat and maize-wheat cropping systems in Eastern India"
Nov 25, 2020
Yadav, Sudhir, 2020, "Crop diversification in rice-based systems in the polders of Bangladesh: Yield stability, profitability, and associated risk", https://doi.org/10.7910/DVN/JVR6ZI, Harvard Dataverse, V1, UNF:6:PGT8oU5QwUBhsWePNk1VKw== [fileUNF]
Raw data of published manuscript.
Nov 19, 2020
Yadav, Sudhir, 2020, "Assessing alternative crop establishment methods with a sustainability lens in rice production systems of Eastern India", https://doi.org/10.7910/DVN/CA67UE, Harvard Dataverse, V1, UNF:6:9ErBxNkEpZzVI1oI+9Bv5w== [fileUNF]
The dataset includes the raw data of the published manuscript https://doi.org/10.1016/j.jclepro.2019.118835.
Sep 23, 2020
Angeles, Olivyn, 2020, "RTDP On-farm grain yield data 1995-1999", https://doi.org/10.7910/DVN/QOHHFU, Harvard Dataverse, V1, UNF:6:oJVJd77Y8RWysEhPNvL2QQ== [fileUNF]
RTDP (Reversing Trends in Declining Productivity, 1997-2000) and RTOP (Reaching Toward Optimal Productivity in Intensive Rice Systems, 2001 to 2004) Mega-Projects are part of Irrigated Rice Research Consortium (IRRC, est. 1997) during its Phase I and Phase II implementation, respectively. The Mega-projects were funded by the Swiss Agency for Develo...
Jan 19, 2020
Mohapatra, Suchismita, 2020, "MS Thesis: Optimization of Potassium (K) supply and plant nutrition through different K management practices under rice-rice system in Odisha", https://doi.org/10.7910/DVN/EM63O5, Harvard Dataverse, V1
MS thesis on optimization of Potassium
Jan 16, 2020 - IRRI Market Analysis
Custodio, Marie Claire; Demont, Matty, 2020, "Survey data on urban consumers’ willingness-to-purchase Cordillera heirloom rice in the Philippines", https://doi.org/10.7910/DVN/N8F1FC, Harvard Dataverse, V1, UNF:6:mzZ49jeEB6XqXuYdIJluKg== [fileUNF]
The consumer survey data was collected from households in the middle and upper socio-economic classes (SEC) in Metro Manila, Philippines. The selection of respondents was done using a multi-stage sampling procedure: (i) random selection of barangays—village-level administrative unit in the Philippines—proportionately distributed based on population...
Nov 3, 2019
Ali, Mohammad, 2019, "Raw data: MS research on "PERCEPTION AND PARTICIPATION OF YOUTH IN AGRICULTURE: A CASE IN POLDER 30 OF SOUTHWEST COASTAL ZONE OF BANGLADESH"", https://doi.org/10.7910/DVN/1AVP9Z, Harvard Dataverse, V1, UNF:6:Vn68V2ZpgX9tnBpB+9+0KA== [fileUNF]
MS research on youth engagement
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