Season-specific management strategies for rainfed soybean in the South American Pampas based on a seasonal precipitation forecast-Reference-Cited by-同舟云学术

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Season-specific management strategies for rainfed soybean in the South American Pampas based on a seasonal precipitation forecast

Published:2022-02 Issue: Volume:196 Page:103331
ISSN:0308-521X
Container-title:Agricultural Systems
language:en
Short-container-title:Agricultural Systems

Author:

Rizzo Gonzalo,Mazzilli Sebastian R.,Ernst Oswaldo,Baethgen Walter E.,Berger Andres G.

Funder

Instituto Nacional de Investigacion Agropecuaria

Publisher

Elsevier BV

Subject

Agronomy and Crop Science,Animal Science and Zoology

Reference63 articles.

1. Productivity and resource use in intensified cropping systems in the rolling Pampa, Argentina;Andrade;Eur. J. Agron.,2015

2. Potential for crop production increase in Argentina through closure of existing yield gaps;Aramburu Merlos;Field Crop Res.,2015

3. Benchmarking of drought and climate indices for agricultural drought monitoring in Argentina;Araneda-Cabrera;Sci. Total Environ.,2021

4. Assessing predictability of cotton yields in the southeastern United States based on regional atmospheric circulation and surface temperatures;Baigorria;J. Appl. Meteorol. Climatol.,2008

5. Multimodel Ensembling in seasonal climate forecasting at IRI;Barnston;Bull. Am. Meteorol. Soc.,2003

Cited by 11 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. Mapping cropping systems and their effects on ecosystem functioning and services in the Argentine Pampas;Agriculture, Ecosystems & Environment;2024-08

2. The role of crop simulation modeling in assessing potential climate change impacts;Agrosystems, Geosciences & Environment;2024-01-03

3. Productive and economic analyses of lowland soybean crops;Pesquisa Agropecuária Brasileira;2024

4. Can China get out of soy dilemma? A yield gap analysis of soybean in China;Agronomy for Sustainable Development;2023-07-20

5. A probabilistic framework for forecasting maize yield response to agricultural inputs with sub-seasonal climate predictions;Environmental Research Letters;2023-07-01

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