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Data on multi factorial treatments in 2017-18 Rabi Sorghum in BM8-B, Patancheru, ICRISATVersion 1.0
Kholova Jana, 2020, "Data on multi factorial treatments in 2017-18 Rabi Sorghum in BM8-B, Patancheru, ICRISAT", https://doi.org/10.21421/D2/LBSXTT, ICRISAT Dataverse, V1, UNF:6:PWnRrSwSz4jozWg2GMYfCw== [fileUNF]
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Data on sequential observations of agronomically important traits like Leaf biomass, Stem biomass, Total biomass, Leaf area, and Grain yield during cropping season for the year 2017-18 in Rabi for Sorghum at ICRISAT Patancheru campus research fields.

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Agricultural Sciences
Sorghum, Grain weight, Stover biomass, Leaf biomass, Stem biomass, Panicle dry matter, Grain number
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1.Growth and development.docx
MS Word (docx) - 24.5 KB - Sep 14, 2020 - 2 Downloads
MD5: 53c2ed6ca4ba11089a19b1f62d775ec2
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1.Growth and development.xlsx
MS Excel (XLSX) - 1.1 MB - Sep 14, 2020 - 4 Downloads
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2.Experiment.docx
MS Word (docx) - 15.0 KB - Sep 14, 2020 - 1 Download
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2.Experiment.xlsx
MS Excel (XLSX) - 133.4 KB - Sep 14, 2020 - 0 Downloads
MD5: 3f9cc5cd65120056413cec10ea74d5fc
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3.Soil bulk density.docx
MS Word (docx) - 12.6 KB - Sep 14, 2020 - 0 Downloads
MD5: 217ba796de730382871745b9ac97717e
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3.Soil bulk density.tab
Tabular Data - 4.4 KB - Sep 14, 2020 - 0 Downloads
12 Variables, 79 Observations - UNF:6:NDp44Qkwsa7AQ5jhEA0D/w==
4.Plot details.docx
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MD5: 493ae4dd08dbcd900792d57fe294954f
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4.Plot details.tab
Tabular Data - 17.5 KB - Sep 14, 2020 - 0 Downloads
5 Variables, 216 Observations - UNF:6:olJgYWymnoR7eIu1UBiUdA==
5.Field plan.xlsx
MS Excel (XLSX) - 23.3 KB - Sep 14, 2020 - 0 Downloads
MD5: 27340c802e75ff535aa76cce42b33ec5
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6.Weather.docx
MS Word (docx) - 14.0 KB - Sep 14, 2020 - 0 Downloads
MD5: 5134f537140805709241cb8a6c909ebd
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These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You are free to copy, distribute and transmit the data as long as you acknowledge the ICRISAT through DOI provided in this page. While utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as it is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies will be liable for any actual, incidental or consequential damages arising from use of the data. By using the ICRISAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data. Therefore, the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications (if any) as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.
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