Evaluating the Predictive Accuracy of Corn Phenological Durations in Iowa and Illinois-Reference-Cited by-同舟云学术

Evaluating the Predictive Accuracy of Corn Phenological Durations in Iowa and Illinois

Published:2019-03 Issue:3 Volume:111 Page:1128-1140
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Zai Faisal H.¹²,Hamers Herbert³,McSharry Patrick E.⁴⁵⁶²

Affiliation:

1. Cass Business SchoolLondonEngland

2. TIASTilburgthe Netherlands

3. Department EOR (TiSEM) and TIASTilburg UniversityTilburgthe Netherlands

4. Carnegie Mellon University AfricaKigaliRwanda

5. African Centre of Excellence in Data ScienceUniversity of RwandaRwanda

6. Oxford Man Institute of Quantitative FinanceUniversity of Oxford, UK and Cass Business SchoolLondonEngland

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2134/agronj2018.04.0294

Reference33 articles.

1. Variations in the sensitivity of US maize yield to extreme temperatures by region and growth phase;Butler E.E.;Environ. Res. Lett.,2015

2. Crop Progress.2017.Crop progress report. May 2017. USDA-NASS.www.nass.usda.gov/Publication.http://www.nass.usda.gov/Publications/Todays_Reports/reports/prog1918.pdf(accessed 31 Mar. 2018).

3. Prediction of Flowering Dates in Maize Based on Different Methods of Estimating Thermal Units 1

4. Phenology information contributes to reduce temporal basis risk in agricultural weather index insurance;Dalhaus T.;Sci. Rep.,2018

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