A multiple species, continent-wide, million-phenotype agronomic plant dataset

Journal article

A critical shortage of 'big' agronomic data is placing an unnecessary constraint on the conduct of public agronomic research, imparting barriers to model development and testing. Here, we address this problem by providing a large non-relational database of agronomic trials, linked to intensive management and observational data, run under a unified experimental framework. The National Variety Trials (NVTs) represent a decade-long experimental trial network, conducted across thousands of Australian field sites using highly standardised randomised controlled designs. The NVTs contain over a million machine-measured phenotypic observations, aggregated from density-controlled populations containing hundreds of millions of plants and thousands of released plant varieties. These data are linked to hundreds of thousands of metadata observations including standardised soil tests, fertiliser and pesticide input data, crop rotation data, prior farm management practices, and in-field sensors. Finally, these data are linked to a suite of ground and remote sensing observations, arranged into interpolated daily- and ten-day aggregated time series, to capture the substantial diversity in vegetation and environmental patterns across the continent-spanning NVT network

Authors: Newman, SJ; Furbank, RT

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Nature Research
• Journal: Scientific Data
• Volume: 8
• Issue: 1
• Pages: 116-116
• Article number: 116
• Publication date: 2021-04-23
• DOI: 10.1038/s41597-021-00898-8
• EISSN: 2052-4463
• ISSN: 2052-4463
• Language: English
• Keywords: Field trial; Environmental science; Geography; Biology; Vegetation (pathology); Computer science; Mathematics; Constraint (computer-aided design); Environmental resource management; Database; Data management; Metadata; Agronomy