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Maize yield and rainfall on different spatial and temporal scales in Southern Brazil PAB
Bergamaschi,Homero; Wheeler,Timothy Robert; Challinor,Andrew Juan; Comiran,Flávia; Heckler,Bruna Maria Machado.
This study aimed to establish relationships between maize yield and rainfall on different temporal and spatial scales, in order to provide a basis for crop monitoring and modelling. A 16-year series of maize yield and daily rainfall from 11 municipalities and micro-regions of Rio Grande do Sul State was used. Correlation and regression analyses were used to determine associations between crop yield and rainfall for the entire crop cycle, from tasseling to 30 days after, and from 5 days before tasseling to 40 days after. Close relationships between maize yield and rainfall were found, particularly during the reproductive period (45-day period comprising the flowering and grain filling). Relationships were closer on a regional scale than at smaller scales....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Zea mays; Rainfall; Water deficit; Crop models; Critical period.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2007000500001
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Simulating maize yield in sub‑tropical conditions of southern Brazil using Glam model PAB
Bergamaschi,Homero; Costa,Simone Marilene Sievert da; Wheeler,Timothy Robert; Challinor,Andrew Juan.
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...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Zea mays; Crop modeling; Crop parameters; Crop‑weather relationships.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2013000200002
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