1 to 10 of 192 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 -
Yield stability assessment -- Rice and Pearl millet data
MS Excel Spreadsheet - 9.4 KB -
MD5: 1e329a7a1aed53d5d9e909d4bd881e27
Dictionary |
Apr 11, 2025 -
Yield stability assessment -- Rice and Pearl millet data
MS Excel Spreadsheet - 14.2 KB -
MD5: 27681ca5771976edf3f23bbfad294c37
Yield and Biomass data for (NDiaye (Senegal) |
Apr 11, 2025 -
Yield stability assessment -- Rice and Pearl millet data
MS Excel Spreadsheet - 15.9 KB -
MD5: 17ed93ed0af2d4751745892f2a3d41c2
Yield and Biomass data for Sadore (Niger) |
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... |
Apr 11, 2025 -
Yield stability assessment -- Climate data
MS Excel Spreadsheet - 683.8 KB -
MD5: e95461c7ca712df85cfaec17aa4b1564
Climate data for Ndiaye (Senegal) |
Apr 11, 2025 -
Yield stability assessment -- Climate data
MS Excel Spreadsheet - 638.7 KB -
MD5: 6a9d94ee9de1952ee89282e971076bb9
Climate data for Sadore (Niger) |
Apr 11, 2025 -
Yield stability assessment -- Climate data
MS Excel Spreadsheet - 9.3 KB -
MD5: db3489a850a6eab00ec7cb5974f65876
Dictionary |
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... |
Jul 20, 2022 -
Assessing genetic and agronomic gains in rice yield in sub-Saharan Africa: A meta-analysis
MS Excel Spreadsheet - 178.5 KB -
MD5: 435ce2ace0ef97245e3256bbc4bb0563
Assessing genetic and agronomic gains |