Climate conditions severely affect crop production, influencing plant responses and harvest characteristics. For the growers of durum wheat (Triticum turgidum L. var. durum) an important aspect, in addition to yield, is the grain quality taking into account that it is closely related to the flour properties and therefore to the quality of resulting pasta. The study analyzes the influence of rainfall and temperatures on the winter durum wheat productions and the predictive role of meteorological and satellite indices at large scale (NDVI). Results show a significant negative correlation between precipitation and grain protein concentration. On the other hand, increasing temperatures were associated with grain protein accumulation, while negative correlations were found with kernel specific weight and yield. NDVI recorded during the crop cycle resulted descriptive of all productive variables, showing the suitability to be integrated with the weather information in a local forecasting system.

Influence of climate on durum wheat production and use of remote sensing and weather data to predict quality and quantity of harvests

Grifoni Daniele;Orlandini Simone
2011

Abstract

Climate conditions severely affect crop production, influencing plant responses and harvest characteristics. For the growers of durum wheat (Triticum turgidum L. var. durum) an important aspect, in addition to yield, is the grain quality taking into account that it is closely related to the flour properties and therefore to the quality of resulting pasta. The study analyzes the influence of rainfall and temperatures on the winter durum wheat productions and the predictive role of meteorological and satellite indices at large scale (NDVI). Results show a significant negative correlation between precipitation and grain protein concentration. On the other hand, increasing temperatures were associated with grain protein accumulation, while negative correlations were found with kernel specific weight and yield. NDVI recorded during the crop cycle resulted descriptive of all productive variables, showing the suitability to be integrated with the weather information in a local forecasting system.
2011
Istituto di Biometeorologia - IBIMET - Sede Firenze
Triticum durum
protein content
specific weight
meteorological information
NDVI
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/285187
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