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Simulating maize yield in sub-tropical conditions of southern Brazil using Glam model

Bergamaschi, H., da Costa, S. M. S., Wheeler, T. and Challinor, A. J. (2013) Simulating maize yield in sub-tropical conditions of southern Brazil using Glam model. Pesquisa Agropecuária Brasileira, 48 (2). pp. 132-140. ISSN 1678-3921

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To link to this item DOI: 10.1590/S0100-204X2013000200002


The objective of this work was to evaluate the feasibility of simulating maize yield in a sub‑tropical region of southern Brazil using the general large area model (Glam). A 16‑year time series of daily weather data were used. The model was adjusted and tested as an alternative for simulating maize yield at small and large spatial scales. Simulated and observed grain yields were highly correlated (r above 0.8; p<0.01) at large scales (greater than 100,000 km2), with variable and mostly lower correlations (r from 0.65 to 0.87; p<0.1) at small spatial scales (lower than 10,000 km2). Large area models can contribute to monitoring or forecasting regional patterns of variability in maize production in the region, providing a basis for agricultural decision making, and Glam‑Maize is one of the alternatives.

Item Type:Article
Divisions:Interdisciplinary Research Centres (IDRCs) > Walker Institute
Life Sciences > School of Agriculture, Policy and Development > Department of Crop Science
ID Code:32441
Uncontrolled Keywords:Zea mays; crop modeling; crop parameters; crop‑weather relationships


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