On the number of experiments required to calibrate a cultivar in a crop model: The case of CROPGRO-soybean
- 1 March 2017
- journal article
- Published by Elsevier in Field Crops Research
- Vol. 204, 146-152
Abstract
No abstract availableKeywords
Funding Information
- Higher Level Personnel Improvement Coordination (Capes-Brazil)
- National Council for Scientific and Technological Development (CNPq)
This publication has 14 references indexed in Scilit:
- Estimativa da área de folhas de cultivares antigas e modernas de soja por método não destrutivoBragantia, 2014
- Köppen's climate classification map for BrazilMeteorologische Zeitschrift, 2013
- Reanalysis of a global soil database for crop and environmental modelingEnvironmental Modelling & Software, 2012
- Forecasting Cotton Yield in the Southeastern United States using Coupled Global Circulation ModelsAgronomy Journal, 2010
- The DSSAT cropping system modelEuropean Journal of Agronomy, 2003
- Calibration and use of CROPGRO-soybean model for improving soybean management under rainfed conditionsAgricultural Systems, 2001
- Evaluating Methods for Simulating Soybean Cultivar Responses Using Cross ValidationAgronomy Journal, 2000
- The problem of regionsThe Annals of Statistics, 1998
- Evaluation of the CROPGRO-Soybean model over a wide range of experiments1997
- A Leisurely Look at the Bootstrap, the Jackknife, and Cross-ValidationThe American Statistician, 1983