Validation of predictive empirical weed emergence models of Abutilon theophrasti Medik based on intercontinental data-Reference-Cited by-同舟云学术

Validation of predictive empirical weed emergence models of Abutilon theophrasti Medik based on intercontinental data

Published:2020-05-19 Issue:4 Volume:60 Page:297-302
ISSN:0043-1737
Container-title:Weed Research
language:en
Short-container-title:Weed Res

Author:

Egea‐Cobrero Valle¹,Bradley Kevin²,Calha Isabel M.³,Davis Adam S.⁴^ORCID,Dorado Jose⁵,Forcella Frank⁶,Lindquist John L.⁷,Sprague Christy L.⁸,Gonzalez‐Andujar Jose L.¹^ORCID

Affiliation:

1. Department of Crop Protection Instituto de Agricultura Sostenible (CSIC) Córdoba Spain

2. Department of Plant Science University of Missouri Columbia MO USA

3. Instituto Nacional de Investigação Agrária e Veterinária Oeiras Portugal

4. Department of Crop Sciences University of Illinois Urbana IL USA

5. Department of Plant Protection Instituto de Ciencias Agrarias (CSIC) Madrid Spain

6. Department of Agronomy and Plant Genetics University of Minnesota St. Paul MN USA

7. Department of Agronomy and Horticulture University of Nebraska Lincoln NE USA

8. Department of Plant, Soil and Microbial Sciences Michigan State University East Lansing MI USA

Funder

FEDER

Spanish Ministry of Economy and Competitiveness Funds

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/wre.12428

Reference29 articles.

1. Herbicide resistance gene flow in weeds: Under-estimated and under-appreciated

2. Modeling Bromus diandrus Seedling Emergence Using Nonparametric Estimation

3. Common Sunflower Seedling Emergence across the U.S. Midwest

4. Seed Burial Physical Environment Explains Departures from Regional Hydrothermal Model of Giant Ragweed (Ambrosia trifida) Seedling Emergence in U.S. Midwest

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