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Identified foliar fungal disease resistant introgression lines ICRISAT LLS data.tab Version 1.1
Janila, P; Manish K. Pandey; Surendra S.Manohar; Murali T V; Latha P; Nadaf H; Sudini, H; Rajeev K. Varshney, 2018, "Data on identified foliar fungal disease-resistant introgression lines with higher pod and haulm yield testing of LLS and RUST", doi:10.21421/D2/ANANHY, ICRISAT Dataverse, V1, UNF:6:huH5hs9oamYRhKcZFXsAgw==; Identified foliar fungal disease resistant introgression lines ICRISAT LLS data.tab [fileName], UNF:6:5lR5wBdM47Is4q7VSv/LEw== [fileUNF]
Tabular Data - 3.9 KB - Last Updated: Oct 10, 2018
14 Variables, 50 Observations - UNF:6:5lR5wBdM47Is4q7VSv/LEw==
File Metadata  
d539d53f08fb1387ff448c4da57b0cc0
UNF:6:5lR5wBdM47Is4q7VSv/LEw==
2018-10-10
3.9 KB
Tab-Delimited
14
50
2018-10-09
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These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation. Disclaimer Whilst utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies 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 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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These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation. Disclaimer Whilst utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies 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 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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