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Artículo

Analysis of the climatic constraints to maize production in the current agricultural region of Argentina—a probabilistic approach

Maddonni, Gustavo AngelIcon
Fecha de publicación: 02/2012
Editorial: Springer Wien
Revista: Theory & Application Climatology
ISSN: 0177-798X
e-ISSN: 1434-4483
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Agricultura

Resumen

A simple method of analysis was proposed to characterize the impact of climatic conditions of a wide region of Argentina (from 27°05′S to 35°48′S, from 61°5′W to 64°21′W) on potential maize (Zea mays L.) grain yield, and the occurrence of various climatic constraints (low temperatures and low soil water content, frost, drought stress and heat stress) along the cycle. The analysis was based on previous studies of the eco-physiology of maize crops and the use of climatic records of six locations in the region under study. Results were analyzed using a probabilistic method, later organized as a checklist to consider when deciding on sowing date in a location of the region. Thus, for each production scenario (combination of location and sowing date), farmers would have a tool enabling them to pay particular attention to the restrictions more likely to occur, to include some cultural practices to avoid or mitigate the most severe climatic constraint to maize production.
Palabras clave: Maize , Production , Climatic Constraints
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/16886
DOI: http://dx.doi.org/10.1007/s00704-011-0478-9
URL: https://link.springer.com/article/10.1007%2Fs00704-011-0478-9
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Articulos(IFEVA)
Articulos de INST.D/INV.FISIOLOGICAS Y ECO.VINCULADAS A L/AGRIC
Citación
Maddonni, Gustavo Angel; Analysis of the climatic constraints to maize production in the current agricultural region of Argentina—a probabilistic approach; Springer Wien; Theory & Application Climatology; 107; 3-4; 2-2012; 325-345
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