Using Stage‐Dependent Temperature Parameters to Improve Phenological Model Prediction Accuracy in Rice Models-Reference-Cited by-同舟云学术

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Using Stage‐Dependent Temperature Parameters to Improve Phenological Model Prediction Accuracy in Rice Models

Published:2017-01 Issue:1 Volume:57 Page:444-453
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Sci.

Author:

Sharifi Hussain¹,Hijmans Robert J.²,Hill James E.¹,Linquist Bruce A.¹

Affiliation:

1. Dep. of Plant Sciences Univ. of California 1 Shields Ave. Davis CA 95616

2. Dep. of Environmental Science and Policy Univ. of California 1 Shields Ave. Davis CA 95616

Funder

California Rice Research Board

National Institute of Food and Agriculture

U.S. Department of Agriculture

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2135/cropsci2016.01.0072

Reference52 articles.

1. Application of the CSM-CERES-Rice model for evaluation of plant density and nitrogen management of fine transplanted rice for an irrigated semiarid environment

2. A two-step approach to quantify photothermal effects on pre-flowering rice phenology

3. Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions

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1. The influence of nitrogen and variety on rice grain moisture content dry-down;Field Crops Research;2023-10

2. Predicting rice phenology and optimal sowing dates in temperate regions using machine learning;Agronomy Journal;2023-07-19

3. Impacts of chilling at the tillering phases on rice growth and grain yield in Northeast China;Journal of Agronomy and Crop Science;2022-04-27

4. Impact of High-Cadence Earth Observation in Maize Crop Phenology Classification;Remote Sensing;2022-01-19

5. Satellite-Based Observations Reveal Effects of Weather Variation on Rice Phenology;Remote Sensing;2020-05-10

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