Responses of spring wheat yield and growth period to different future climate change models in the yellow river irrigation area based on CMIP6 and WOFOST models-Reference-Cited by-同舟云学术

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Responses of spring wheat yield and growth period to different future climate change models in the yellow river irrigation area based on CMIP6 and WOFOST models

Published:2024-06 Issue: Volume:353 Page:110071
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Li Xinlong^ORCID,Tan Junli,Wang Xina,Han Gengzhe,Qian Zhijin,Li Hong,Wang Lili,Niu Guoli

Funder

National Natural Science Foundation of China

Ministry of Agriculture and Rural Affairs of the People's Republic of China

National Key Research and Development Program of China

Ningxia Hui Autonomous Region Natural Science Foundation

Ningxia University

Publisher

Elsevier BV

Reference63 articles.

1. Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia;Arshad;Eur. J. Agron.,2023

2. Monitoring and forecasting drought impact on dryland farming areas;Arshad;Int. J. Climatol.,2013

3. Rising temperatures reduce global wheat production;Asseng;Nat. Clim. Change,2015

4. Comparing process-based wheat growth models in their simulation of yield losses caused by plant diseases;Bregaglio;Field Crop Res.,2021

5. Random forests;Breiman;Mach. Learn.,2001

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