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

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Faba Bean Cultivation - Revealing Novel Managing Practices for More Sustainable and Competitive European Cropping Systems

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

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http://www.wikidata.org/entity/Q45946022

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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Root traits of European Vicia ...... ns to agroclimatic conditions.

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Root traits of European Vicia ...... ns to agroclimatic conditions.

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type

Item

label

Root traits of European Vicia ...... ns to agroclimatic conditions.

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Root traits of European Vicia ...... ns to agroclimatic conditions.

@nl

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Root traits of European Vicia ...... ns to agroclimatic conditions.

@en

Root traits of European Vicia ...... ns to agroclimatic conditions.

@nl

P1476

Root traits of European Vicia ...... ns to agroclimatic conditions.

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P2093

Gernot Bodner

http://www.w3.org/2001/XMLSchema#string

Jiangsan Zhao

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Peter Sykacek

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P2860

Advances in Faba Bean Genetics and Genomics

Note on the sampling error of the difference between correlated proportions or percentages

Global ex-situ crop diversity conservation and the Svalbard Global Seed Vault: assessing the current status

An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

The FIGS (focused identification of germplasm strategy) approach identifies traits related to drought adaptation in Vicia faba genetic resources.

Drought footprint on European ecosystems between 1999 and 2010 assessed by remotely sensed vegetation phenology and productivity.

Root system architecture: opportunities and constraints for genetic improvement of crops.

Support vector machines and kernels for computational biology

Predicting siRNA potency with random forests and support vector machines

Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection.

P31

scholarly article

P356

10.1111/PCE.13062

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Boris Rewald

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2017-08-30T00:00:00Z

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P698

28857245

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P921

machine learning

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

about

P2860

P2860

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

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type

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P1476

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P577

P698

P921

P356

P1433

P1476

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P2860

P31

P356

P50

P577

P698

P921