1 to 10 of 25 Results
Apr 11, 2025
Kouadio, Louis, 2025, "Yield stability assessment -- Rice and Pearl millet data", https://doi.org/10.7910/DVN/GFWCYQ, Harvard Dataverse, V1
1. Sadoré , Niger: Data are from field experiments carried out at ICRISAT research station (13.25°N, 2.283°E, 240 m above sea level) under rainfed conditions. Experimental design: factorial combination of two plant densities [10,000 pockets ha–1 (PDENS1) and 15,000 pockets ha–1 (PDENS2)] with three levels of fertilization [control (no fertilizer),... |
Apr 11, 2025
Kouadio, Louis, 2025, "Yield stability assessment -- Climate data", https://doi.org/10.7910/DVN/8L4OYY, Harvard Dataverse, V1
1. Sadoré, Niger: Daily records of rainfall, minimum temperature, maximum temperature, and solar radiation for the 1983-2022 period were obtained from the climate station at the ICRISAT experimental site. Gaps in the climate data were filled using gridded data for the study site retrieved from the NASA POWER data portal (https://power.larc.nasa.gov... |
Jul 20, 2022
Ibrahim Ali; Saito Kazuki, 2022, "Assessing genetic and agronomic gains in rice yield in sub-Saharan Africa: A meta-analysis", https://doi.org/10.7910/DVN/NWP2ZO, Harvard Dataverse, V1
We perform a meta-analysis to quantify genetic gain - yield increase through use of new variety and calculated by yield difference between new variety and variety popularly grown in the target site, and agronomic gain - difference in yield between improved agronomic practices and the control in SSA using 208 paired observations from 40 studies acro... |
Feb 22, 2021
Vandamme Elke; Wissuwa Matthias; Rose Terry; Dieng Ibnou; Drame Khady N.; Fofana Mamadou; Senthilkumar Kalimuthu; Venuprasad Ramaiah; Jallow Demba; Segda Zacharir; Suriyagoda Lalith; Sirisena Dinarathna; Kato Yoichiro; Saito Kazuki, 2021, "Replication Data for: Multi-location screening of rice genotypes for grain and straw P concentrations under different levels of P supply", https://doi.org/10.7910/DVN/AMAZXA, Harvard Dataverse, V1
Result of a multi-location study across Africa and Asia where different varieties were screened under different soil P conditions and P treatments, and the effect on grain and straw P concentration was evaluated. |
Oct 11, 2019
Kalimuthu, Senthilkumar, 2019, "Replication Data for: Increasing paddy yields and improving farm management: results from participatory experiments with good agricultural practices (GAP) in Tanzania", https://doi.org/10.7910/DVN/55WLAD, Harvard Dataverse, V1
Rice is an increasingly important commodity in sub-Saharan Africa. In Tanzania, the rice yield gap is as high as 87%, due to a combination of production constraints and sub-optimal crop management. Reducing this yield gap may be partly achieved through the introduction and dissemination of good agricultural practices (GAP). We conducted 18 farmer-m... |
Saito, Kazuki; Laborte, Alice; Graterol Matute, Eduardo Jose, 2019, "Global Upland Rice Area 2019", https://doi.org/10.7910/DVN/2DPRHE, Harvard Dataverse, V1
Estimates of total and upland rice cultivation areas in Africa, Asia and Latin America |
Oct 19, 2018
Dossou-Yovo, Elliott; Baggie, Idriss; Djagba, Justin Fagnombo; Swart, Sander, 2018, "Replication Data for: Diversity of Inland Valleys and Opportunities for Agricultural Development in Sierra Leone", https://doi.org/10.7910/DVN/YLUPSB, Harvard Dataverse, V1, UNF:6:0dW+MIIKFu2sNH4mXIJjlQ== [fileUNF]
Inland valleys are becoming increasingly important agricultural production areas for rural households in sub-Saharan Africa due to their relative high and secure water availability and soil fertility. In addition, inland valleys are important as water buffer and biodiversity hot spots and they provide local communities with forest, forage, and fishi... |
Aug 14, 2018
Dossou-Yovo, Elliott; Kouyate, Amadou; Sawadogo, Tassere; Ouedraogo, Ibrahima; Bakare, Oladele; Zwart, Sander, 2018, "Replication Data for: A geospatial database of drought occurrence in inland valleys in Mali, Burkina Faso and Nigeria", https://doi.org/10.7910/DVN/GGML1R, Harvard Dataverse, V1, UNF:6:xkHDuJp3aHyg5w57mmau8w== [fileUNF]
In this study, we assessed the predictors for occurrence of drought in inland valley rice-based production systems and enabling factors for small scale farmers to mitigate its effects in three West African countries located in the Sudan-Sahel zone viz. Nigeria, Burkina Faso and Mali. We used both biophysical and socio-economic data, farmers’ commun... |
May 17, 2018
Diagne, A.; Amovin-Assagba, E.; Futakuchi, K.; Wopereis, M.C.S., 2018, "Replication Data for: Abiotic stress maps for rice (STRASA): Table with rice growing environments (irrigated lowland/rainfed lowland/rainfed upland/other) according to Diagne et al. (2013)", https://doi.org/10.7910/DVN/MQPQOL, Harvard Dataverse, V1
This dataset is produced for the STRASA project in which breeders are developing varieties tolerant to abiotic stresses. The dataset represents the distribution of rice area by rice growing environment in Africa in 2009. Generally three major rice growing environments are recognised in rice: irrigated lowland (lowlands with irrigation, full to wate... |
van Oort, Pepijn, 2017, "Abiotic stress maps for rice (STRASA): Maps (tiff) 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/SBQ9OJ, Harvard Dataverse, V2, UNF:6:5u1liLnzmxkIi5x3bXEV9A== [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... |
