Agroclimatological classification of the Mediterranean and southwest Asian areas. Chapter 1
By: Frere, M | Improving Winter Cereals for Moisture-limiting Areas. Capri (Italy). 27-31 Oct 1985.
Contributor(s): Conese, C [coaut.] | Maracchi, G [coaut.] | Miglietta, F [coaut.].
Material type:
BookAnalytics: Show analyticsPublisher: 1987ISBN: 0-471-91650-1.Subject(s): Africa | Crops
| International organizations | Meteorology and climatology | Plant ecology | Plant products | Resistance to injurious factorsDDC classification: 94-008985
In:
Srivastava, J.P.; Acevedo,-E.; Varma,-S. (ICARDA, Aleppo (Syria)); Porceddu,-E. (University of Tuscia, Viterbo (Italy). Inst. of Agricultural Biology) (eds.). National Research Council of Italy, Viterbo (Italy); International Center for Agricultural Research in the Dry Areas, Aleppo (Syria). Drought tolerance in winter cereals: proceedings of an international workshop. Chichester (UK). John Wiley and Sons. 1987. p. 3-14. (En)Summary: An agroclimatological classification to characterize the climatic patterns in relation to the growth and development of winter cereals in the Mediterranean areas is reported using the monthly data available with the Agrometeorological Bureau of FAO. The classification needs to be improved further to assess the effect of daily and international variability. The main emphasis was on the water balance equation accounting for the water availability in the soil and its distribution during the growth period. The parameters considered were rainfall, evapotranspiration, and temperature. Temperature was considered to limit the development to levels below the threshold. A classification method of cluster analysis was used to identify the groups with a high degree of similarity and of principal component analysis (PCA) to build up a linear combination of the original variables accounting for as much of the total variation as possible. The results of the classification revealed nine types of climate according to the water balance and temperature levels. The plotted results for each station made it possible to draw the main climatic patterns in relation to geographical distribution. Furthermore, the results could be of help in understanding the most convenient ideotypes for each climatic region. At the same time, useful indications could be obtained to further improve the classification using the daily meteorological data instead of monthly average valuesCollection: AGRIS Collection
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Reprint
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CIMMYT Knowledge Center: John Woolston Library
Lic. Jose Juan Caballero Flores
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AGRIS Collection | 94-008985 (Browse shelf) | Available |
9 fig., 1 ref. Summary (En)
An agroclimatological classification to characterize the climatic patterns in relation to the growth and development of winter cereals in the Mediterranean areas is reported using the monthly data available with the Agrometeorological Bureau of FAO. The classification needs to be improved further to assess the effect of daily and international variability. The main emphasis was on the water balance equation accounting for the water availability in the soil and its distribution during the growth period. The parameters considered were rainfall, evapotranspiration, and temperature. Temperature was considered to limit the development to levels below the threshold. A classification method of cluster analysis was used to identify the groups with a high degree of similarity and of principal component analysis (PCA) to build up a linear combination of the original variables accounting for as much of the total variation as possible. The results of the classification revealed nine types of climate according to the water balance and temperature levels. The plotted results for each station made it possible to draw the main climatic patterns in relation to geographical distribution. Furthermore, the results could be of help in understanding the most convenient ideotypes for each climatic region. At the same time, useful indications could be obtained to further improve the classification using the daily meteorological data instead of monthly average values
English
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