Index of /under_license/toronto/Millan-Blanquez_etal_2022_machine-learning-carpel-traits/Training

A scalable phenotyping approach for female floral organ development and senescence in the absence of pollination in wheat

Marina Millan-Blanquez, Matthew Hartley, Nicholas Bird, Yann Manes, Cristobal Uauy, Scott Boden

New automated phenotyping method for stigma and ovary development in wheat which highlights the potential for genetic variation that could benefit hybrid breeding. The work was supported by the UK Biotechnology and Biological Sciences Research Council (BBSRC) through the Designing Future Wheat (BB/P016855/1) and Genes in the Environment (BB/P013511/1) Institute Strategic Programmes. Additional funding was provided by the European Research Council (ERC-2019-COG-866328). Marina Millan Blanquez was supported by a BBSRC Norwich Research Park Biosciences Doctoral Training Grant (BB/M011216/1).

This data is made available under the Toronto Agreement

All of the data listed here is available under the prepublication data sharing principle of the Toronto agreement. By using this data, you agree to:

respect the rights of the data producers and contributors to analyze and publish the first global analyses and certain other reserved analyses of this data set in a peer-reviewed publication.
not redistribute, release, or otherwise provide access to the data to anyone outside of the group, until the data has been published & submitted to the public data repositories.
contact the authors to discuss any plans to publish data or analyses that utilize this data to avoid the overlap of any planned analyses.
fully cite the prepublication data along with any applicable versioning details.
understand that this data as accessed is precompetitive and is not patentable in its present state.

This agreement does not expire by time but only upon publication of the first global analysis by the data producers and contributors.

User details

You are browsing the public view on the public zone

	Name	Size	Date	Properties
	datapackage.json
	ovaryCNN/		2022-04-07 14:08
	stigmaCNN/		2022-04-07 14:08