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The impact of climatic variability and climate change on arabic coffee crop in Brazil Bragantia
Camargo,Marcelo Bento Paes de.
The climatic variability is the main factor responsible for the oscillations and frustrations of the coffee grain yield in Brazil. The relationships between the climatic parameters and the agricultural production are quite complex, because environmental factors affect the growth and the development of the plants under different forms during the growth stages of the coffee crop. Agrometeorological models related to the growth, development and productivity can supply information for the soil water monitoring and yield forecast, based on the water stress. A soil water balance during different growth stages of the coffee crop, can quantify the effect of the available soil water on the decrease of the final yield. Other climatic factors can reduce the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffea arabica L.; Global warming; Productivity; Agronomic mitigations and adaptations; Crop zoning.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052010000100030
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New agroclimatic approach for soybean sowing dates recommendation: A case study AGRIAMBI
Battisti,Rafael; Sentelhas,Paulo C..
The objective of this study was to introduce a new approach to recommend sowing dates for soybean crop in Brazil, considering the climatic conditions and crop yield. The first step was to define the periods when air temperature is smaller than 40 °C and greater than 1 °C in at least 80% of the years, and with at least 60% of relative crop evapotranspiration during the establishment phase in more than 50% of the years. The actual yield of crop was estimated by FAO Agroecological zone model for the suitable sowing dates. Based on that, when actual yield overcome the production cost in more than 80% of years and mean air temperature along the cycle is between 20 and 30 °C, the sowing date is classified as suitable, but if actual yield overcome the production...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Glycine max; Climatic risk; Crop zoning; Agrometeorological model; Production cost.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662014001100009
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