11 to 20 of 192 Results
Jul 20, 2022 -
Assessing genetic and agronomic gains in rice yield in sub-Saharan Africa: A meta-analysis
MS Excel Spreadsheet - 26.0 KB -
MD5: 05e4e6ad41da0a3f5ba0e9daf827661d
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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. |
MS Excel Spreadsheet - 635.0 KB -
MD5: 4f7722cc8303370d93452b68fafe18d2
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MS Excel Spreadsheet - 24.0 KB -
MD5: 2d844b4e8c34d7f7ba0b47383166104d
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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... |
MS Excel Spreadsheet - 74.5 KB -
MD5: f85595d74415b83da6fe354a080f7f93
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MS Excel Spreadsheet - 56.0 KB -
MD5: fac879865d762ea82284cb771b77888a
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MS Excel Spreadsheet - 50.5 KB -
MD5: 54741433f066e2485eaeca779d7e48b4
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MS Excel Spreadsheet - 54.0 KB -
MD5: 120e69c3114a90fc6f205cb7379e3abd
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MS Excel Spreadsheet - 51.0 KB -
MD5: 5304d15e5c73075644cdf40d9e2f6cf2
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