11 to 20 of 25 Results
van Oort, Pepijn, 2017, "Abiotic stress maps for rice (STRASA): Maps for Africa with simulated cold sterility per weather stations and per growing season (1. main season (wet) and 2. 'off' season (dry))", https://doi.org/10.7910/DVN/MRX4X4, Harvard Dataverse, V2
This dataset is produced for the STRASA project in which breeders are developing varieties tolerant to cold. The intended use is that tolerant varieties can be sent to places with high risk of cold. |
van Oort, Pepijn, 2017, "Abiotic stress maps for rice (STRASA): Maps for Africa with simulated drought risk per weather stations and per per landscape position (lowland/upland)", https://doi.org/10.7910/DVN/1SJN2B, Harvard Dataverse, V2
This dataset is produced for the STRASA project in which breeders are developing varieties tolerant to drought. The intended use is that tolerant varieties can be sent to places with high risk of drought. |
Feb 7, 2018
Ndindeng, Sali Atanga, 2018, "Effects of artisanal parboiling steaming time and variety on grain quality, mineral and digestive properties of rice", https://doi.org/10.7910/DVN/EI6VE8, Harvard Dataverse, V1
To elucidate the effect of different parboiling steaming time on the physicochemical and nutritional and digestive properties of rice, four varieties; NERICA1, NERICA7, IR841 and WITA4 were soaked at the same temperature (85oC) and steamed for 5, 15, 25, 35 and 45 min using a complete randomized design with 3 replications. |
Oct 25, 2017
Ndindeng, Sali Atanga, 2017, "The origin, quality and market price of rice in three sub-Saharan African Countries", https://doi.org/10.7910/DVN/IAXVT8, Harvard Dataverse, V2
The study was conducted in three SSA countries – Benin, Cameroon, and Ghana – where local partners were willing to collect data and rice samples in selected sites. Each country was mapped into geographical zones or administrative districts within which representative markets (either urban or rural) were selected. Each market was considered close to... |
van Oort, Pepijn, 2017, "Abiotic stress maps for rice (STRASA): Tables for Africa with rainfed lowland rice on soils with high iron content", https://doi.org/10.7910/DVN/SPDA4S, Harvard Dataverse, V1, UNF:6:pe3MJ6E0bVABjtS2wX5vhw== [fileUNF]
This dataset is produced for the STRASA project in which breeders are developing varieties tolerant to iron toxicity. The intended use is that tolerant varieties can be sent to places with high risk of iron toxicity. This "iron soils" map was combined with three crop maps (GAEZv3, MIRCA2000,SPAM2005) and multiplied with country specific fractions r... |
van Oort, Pepijn, 2017, "Abiotic stress maps for rice (STRASA): Maps (kmz) for Africa with probability of presence of a soil with high iron content overlaid with crop maps to identify areas with lots of iron AND lots of rainfed lowland rice", https://doi.org/10.7910/DVN/TVDZ4Q, Harvard Dataverse, V1
This dataset is produced for the STRASA project in which breeders are developing varieties tolerant to iron toxicity. The intended use is that tolerant varieties can be sent to places with high risk of iron toxicity. This "iron soils" map was combined with three crop maps (GAEZv3, MIRCA2000,SPAM2005) and multiplied with country specific fractions r... |
van Oort, Pepijn, 2017, "Abiotic stress maps for rice (STRASA): Tables for Africa with rice on soils with salinity or sodicity", https://doi.org/10.7910/DVN/5VUHIS, Harvard Dataverse, V1, UNF:6:ZxxIeMUI4uzIqdHboJ5hkA== [fileUNF]
This dataset is produced for the STRASA project in which breeders are developing varieties tolerant to salinity/sodicity. The intended use is that tolerant varieties can be sent to places with high risk of salinity/sodicity. This "salinity/sodicity" map was combined with three crop maps (GAEZv3, MIRCA2000,SPAM2005) to identify countries and hotspot... |
van Oort, Pepijn, 2017, "Abiotic stress maps for rice (STRASA): Maps (kmz) for Africa with probability of presence of a saline/sodic soil overlaid with crop maps to identify areas with lots of salinity/sodicity AND lots of rice", https://doi.org/10.7910/DVN/YHPZMM, Harvard Dataverse, V1
This dataset is produced for the STRASA project in which breeders are developing varieties tolerant to salinity/sodicity. The intended use is that tolerant varieties can be sent to places with high risk of salinity/sodicity. This "salinity/sodicity" map was combined with three crop maps (GAEZv3, MIRCA2000,SPAM2005) to identify countries and hotspot... |
van Oort, Pepijn, 2017, "Abiotic stress maps for rice (STRASA): Maps (tiffs) for Africa with probability of presence of a saline/sodic soil overlaid with crop maps to identify areas with lots of salinity/sodicity AND lots of rice", https://doi.org/10.7910/DVN/XZYV58, Harvard Dataverse, V1, UNF:6:gdYz4vNZja81MCBUfJXqTg== [fileUNF]
This dataset is produced for the STRASA project in which breeders are developing varieties tolerant to iron toxicity. The intended use is that tolerant varieties can be sent to places with high risk of iron toxicity. This "iron soils" map was combined with three crop maps (GAEZv3, MIRCA2000,SPAM2005) and multiplied with country specific fractions r... |
van Oort, Pepijn, 2017, "Abiotic stress maps for rice (STRASA): Tables with station results for Africa with Koppen-Geiger climate zones and risk of drought per station and per landscape position (lowland/upland)", https://doi.org/10.7910/DVN/KG0Y4J, Harvard Dataverse, V1, UNF:6:+3n9dAifI06cuJrFEa+Ibg== [fileUNF]
This dataset is produced for the STRASA project in which breeders are developing varieties tolerant to drought. The intended use is that tolerant varieties can be sent to places with high risk of drought. This "drought" map was combined with three crop maps (GAEZv3, MIRCA2000,SPAM2005) to identify countries and climate zones prone to drought. |
