Root traits of European Vicia faba cultivars-Using machine learning to explore adaptations to agroclimatic conditions-Reference-Cited by-同舟云学术

Root traits of European Vicia faba cultivars-Using machine learning to explore adaptations to agroclimatic conditions

Published:2017-10-16 Issue: Volume: Page:
ISSN:0140-7791
Container-title:Plant, Cell & Environment
language:en
Short-container-title:Plant Cell Environ

Author:

Zhao Jiangsan¹,Sykacek Peter²,Bodner Gernot³,Rewald Boris¹^ORCID

Affiliation:

1. Department of Forest and Soil Sciences; University of Natural Resources and Life Sciences, Vienna (BOKU); 1190 Tulln an der Donau Austria

2. Department of Biotechnology; University of Natural Resources and Life Sciences, Vienna (BOKU); 1190 Tulln an der Donau Austria

3. Division of Agronomy, Department of Crop Sciences; University of Natural Resources and Life Sciences, Vienna (BOKU); 3430 Tulln an der Donau Austria

Funder

European Union's Seventh Framework Program

Publisher

Wiley

Subject

Plant Science,Physiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/pce.13062/fullpdf

Reference70 articles.

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