1e20a1c8-6aeb-4365-866d-71b24c497586 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:14:27 UK GEMINI 2.3 WGS 84 Trait values measured on a subset of the Bengal and Assam Aus Panel of rice grown in the field at two levels of nitrogen application in four South Asian sites over at least two seasons 2025-05-15 publication 2025-05-15 creation https://catalogue.ceh.ac.uk/id/1e20a1c8-6aeb-4365-866d-71b24c497586 10.5285/1e20a1c8-6aeb-4365-866d-71b24c497586 doi: Price, A., Neeraja, C., Ananadan, A., Maqsood, M.A., Kiran, A., Naher, U.A. (2025). Trait values measured on a subset of the Bengal and Assam Aus Panel of rice grown in the field at two levels of nitrogen application in four South Asian sites over at least two seasons. NERC EDS Environmental Information Data Centre 10.5285/1e20a1c8-6aeb-4365-866d-71b24c497586 [This dataset is embargoed until May 1, 2026]. The dataset is in csv format recording trait values measured on a subset of the Bengal and Assam Aus Panel (BAAP) of rice grown in the field at two levels of nitrogen application in four South Asian sites over at least two seasons. Traits are leaf nitrogen content (measured with a Soil Plant Analysis Development (SPAD) meter) at 45 and 60 days, days to flowering and at harvest plant height, number of tillers, straw biomass and grain yield. The purpose was to assess members of the BAAP for their response to nitrogen treatment in the field for identification of rice cultivars for high nitrogen use efficiency (NUE) plus quantitative trait loci (QTL) and candidate genes for NUE Full details about this dataset can be found at https://doi.org/10.5285/1e20a1c8-6aeb-4365-866d-71b24c497586 Price, A. University of Aberdeen a.price@abdn.ac.uk pointOfContact Price, A. University of Aberdeen a.price@abdn.ac.uk author Neeraja, C. Indian Institute of Rice Research CN.Neeraja@icar.gov.in author Ananadan, A. Indian Institute of Soil Science anandanau@yahoo.com author Maqsood, M.A. University of Agriculture Faisalabad mohamgill@uaf.edu.pk author Kiran, A. University of Agriculture Faisalabad aysha.kiran@uaf.edu.pk author Naher, U.A. Bangladesh Rice Research Institute naher39@gmail.com author University of Aberdeen EMAIL NOT PROVIDED owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher rice nitrogen GEMET - Concepts, version 4.1.3 2019-01-28 creation Agriculture Climate and climate change otherRestrictions Embargoed otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Price, A., Neeraja, C., Ananadan, A., Maqsood, M.A., Kiran, A., Naher, U.A. (2025). Trait values measured on a subset of the Bengal and Assam Aus Panel of rice grown in the field at two levels of nitrogen application in four South Asian sites over at least two seasons. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/1e20a1c8-6aeb-4365-866d-71b24c497586 textTable 10 English utf8 environment farming 71.021 92.284 14.435 36.598 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Each of four project partners obtained seeds of approximately 300 rice accessions of the BAAP from the International Rice Research Institute and grew them to multiply seed supply. They each used the seed obtained to conducted screens the accessions in two levels of nitrogen application over two years, collected data, entered data into an excel spread sheet, checked it for errors and submitted to a project datasharing site. All the datasets were combined into one.