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921 to 930 of 1,529 Results
DataDictionary_UniqueIdentifier.csv
Jul 4, 2021 - Grain yield performance of selected spring bread wheat genotypes at Sids station (Egypt) in 2017 and 2018
Comma Separated Values - 442 B - MD5: 94ef957cbb27ee2a8eb685ad0b2434ad
SBW_2018.csv
Jul 4, 2021 - Grain yield performance of selected spring bread wheat genotypes at Sids station (Egypt) in 2017 and 2018
Comma Separated Values - 2.9 KB - MD5: 3aebab8356c2f0c5d859f920d0a147b3
SBW_GY_2017.csv
Jul 4, 2021 - Grain yield performance of selected spring bread wheat genotypes at Sids station (Egypt) in 2017 and 2018
Comma Separated Values - 1.8 KB - MD5: e16e1e23646d7c03ffddba1a16bda453
SIP Data 2017-2018 ICRISAT, Niamey
May 27, 2021 - Scaling-up of proven technological packages
Bado, Vincent; Sanoussi Manzo, Maman Laminou, 2020, "SIP Data 2017-2018 ICRISAT, Niamey", https://hdl.handle.net/20.500.11766.1/FK2/AAAGO5, MELDATA, V2
The dataset contains the results of a field experiment with the objective to test Integrated Production System (SIP) by combining Assisted Natural Regeneration (RNA) and crop fertilization technologies and practices in order to demonstrate their performance in order to upscaling...
DataDictionary_ElementDescription.csv
May 27, 2021 - SIP Data 2017-2018 ICRISAT, Niamey
Comma Separated Values - 3.3 KB - MD5: c9769efe71296f73b25d4567de2e5563
DataDictionary_Introduction.csv
May 27, 2021 - SIP Data 2017-2018 ICRISAT, Niamey
Comma Separated Values - 839 B - MD5: e91298dac686bfd2befdb19dc8768733
Niamey_SIP_Data.csv
May 27, 2021 - SIP Data 2017-2018 ICRISAT, Niamey
Comma Separated Values - 1.4 MB - MD5: 00c71892cb320dd1a4d90a8c49fc7051
Data.csv
May 12, 2021 - Spineless cactus biometric data
Comma Separated Values - 17.7 KB - MD5: 19d887b1933ee00add5394f0e11b3a97
DataDictionary_ElementDescription.csv
May 12, 2021 - Spineless cactus biometric data
Comma Separated Values - 899 B - MD5: 66c713c7e171d30271767f86a8b8844d
DataDictionary_Introduction.csv
May 12, 2021 - Spineless cactus biometric data
Comma Separated Values - 902 B - MD5: 8704b48fa6e0e8ec0f15b1e8486b9165
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