Evaluation of medium duration lines for agronomic traits and Foliar diseases under rainfed condition in Zangohttps://doi.org/10.21421/D2/P9GELXBabu MotagiShiyanbola AbdulsalamBenjamin KuryaICRISAT Dataverse2019-07-202019-07-19T21:26:49ZMedium-Duration Groundnut for Multi-location evaluation comprises 15 breeding lines of groundnut and 3 released Varieties. The trial was conducted under rainfed condition and it was aimed to test their adaptability, yield superiority, resistance and tolerance to biotic and abiotic stresses location which includes; Zango to confirm their <br> <br> <b> <a href="https://www.google.com/maps/d/edit?mid=1F59UfXZphMmWxwrXpfO8mw1V-S257JYp&ll=13.054552769933448%2C8.486770117907781&z=18">Experimental location on Google Map</a></b> <br> <br>Agricultural SciencesGroundnutReplication number100 seed weightShelling ratio2015Administrator2019-05-312015-06-142015-12-252015-06-142015-12-25Phenotypic dataICRISATNigeriaZangoNONE<img src ="https://licensebuttons.net/l/by/4.0/88x31.png"/>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.