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Cited by 44Climate change impacts on agricultureClimate variability and modelsRemote Sensing in Agriculture

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Cotton yields as influenced by ENSO at different planting dates and spatial aggregation levels

Paz, Joel O., Woli, Prem, Garcia y Garcia, Axel, Hoogenboom, Gerrit·2012·Agricultural Systems
DOI 10.1016/j.agsy.2012.05.004
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Research works printed but not linked: 40

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Metadata

Authors
Paz, J. O., Woli, P., Garcia y Garcia, A., & Hoogenboom, G.
Affiliations
  • Mississippi State University (US)
  • Washington State University (US)
Corresponding author
Woli, Prem
ORCID
Venue
Agricultural Systems
Publisher
Elsevier BV
Published
2012-09
Volume
111
Pages
45-52
ISSN
0308-521X (ISSN-L)
DOI
10.1016/j.agsy.2012.05.004
OpenAlex
W2003056428
Cited by
44
References
2
Citations by year
2026: 2 · 2025: 4 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 1 · 2019: 5 · 2018: 4 · 2017: 4 · 2016: 3 · 2015: 5 · 2014: 5 · 2013: 1
FWCI
3.61
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
Agricultural Systems (publishedVersion)
Funders
  • U.S. Department of Agriculture
  • National Institute of Food and Agriculture
Topics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Climate change impacts on agriculture
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
Keywords
ENSO, cotton yield, sowing date, spatial aggregation, ENSO phases, La Niña, El Niño, lint yield, crop growth simulation, southeastern United States

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