ORYZA (v3) rice crop growth modeling for MR269 under nitrogen treatments: Assessment of cross-validation on parameter variability-Reference-Cited by-同舟云学术

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ORYZA (v3) rice crop growth modeling for MR269 under nitrogen treatments: Assessment of cross-validation on parameter variability

Published:2022-04 Issue: Volume:195 Page:106809
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Nurulhuda Khairudin,Muharam Farrah Melissa,Shahar Nurul Aina Najwa,Hashim Muhamad Faiz Che,Ismail Mohd Razi,Keesman Karel J.,Zulkafli Zed

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference47 articles.

1. Simulating rice and maize yield potential in the humid tropical environment of Indonesia;Agustiani;Eur. J. Agron.,2018

2. Evaluation of Ceres-Rice, Aquacrop and Oryza 2000 models in simulation of rice yield response to different irrigation and nitrogen management strategies;Amiri;J. Plant Nutr.,2014

3. Evaluation of climate change impacts and adaptation measures for rice cultivation in Northeast Thailand;Babel;Clim. Res.,2011

4. Characterising performance of environmental models;Bennett;Environ. Modell. Softw.,2013

5. Yield gap analysis and the effect of nitrogen and water on photoperiod-sensitive Jasmine rice in north-east Thailand;Boling;NJAS - Wagen. J. Life Sc.,2011

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross model validation for a diversified cropping system;European Journal of Agronomy;2024-07

2. Performance evaluation of the ORYZA_V3 model for rice growth and organ nitrogen content;Agronomy Journal;2023-10-25

3. Multiple model averaging methods for predicting regional rice yield;Agronomy Journal;2023-03

4. Effect of variation in the observations on the prediction uncertainty in crop model simulation: Use ORYZA (v3) as a case study;Ecological Modelling;2023-02

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