Empirical modelling of regional and national durum wheat quality (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Empirical modelling of regional and national durum wheat quality (Articolo in rivista) (literal)

Anno

• 2015-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.agrformet.2015.02.003 (literal)

Alternative label

• P. Toscano and L. Genesio and A. Crisci and F.P. Vaccari and E. Ferrari and P. La Cava and J.R. Porter and B. Gioli (2015)
  Empirical modelling of regional and national durum wheat quality
  in Agricultural and forest meteorology (Print)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• P. Toscano and L. Genesio and A. Crisci and F.P. Vaccari and E. Ferrari and P. La Cava and J.R. Porter and B. Gioli (literal)

Pagina inizio

• 67 (literal)

Pagina fine

• 78 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.sciencedirect.com/science/article/pii/S0168192315000313 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 204 (literal)

Rivista

• Agricultural and forest meteorology (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 0 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR IBIMET (literal)

Titolo

• Empirical modelling of regional and national durum wheat quality (literal)

Abstract

• Abstract The production of durum wheat in the Mediterranean basin is expected to experience increased variability in yield and quality as a consequence of climate change. To assess how environmental variables and agronomic practices affect grain protein content (GPC), a novel approach based on monthly gridded input data has been implemented to develop empirical model, and validated on historical time series to assess its capability to reproduce observed spatial and inter-annual {GPC} variability. The model was applied in four Italian regions and at the whole national scale and proved reliable and usable for operational purposes also in a forecast 'real-time' mode before harvesting. Precipitable water during autumn to winter and air temperature from anthesis to harvest were extremely important influences on GPC; these and additional variables, included in a linear model, were able to account for 95% of the variability in {GPC} that has occurred in the last 15 years in Italy. Our results are a unique example of the use of modelling as a predictive real-time platform and are a useful tool to understand better and forecast the impacts of future climate change projections on durum wheat production and quality. (literal)

Prodotto di

• Institute for biometeorology (IBIMET) (Istituto)

Autore CNR

• LORENZO GENESIO (Persona)
• FRANCESCO PRIMO VACCARI (Unità di personale interno)
• BENIAMINO GIOLI (Unità di personale interno)
• PIERO TOSCANO (Persona)
• ALFONSO CRISCI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Empirical modelling of regional and national durum wheat quality" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute for biometeorology (IBIMET) (Istituto)

Autore CNR di

• FRANCESCO PRIMO VACCARI (Unità di personale interno)
• PIERO TOSCANO (Persona)
• ALFONSO CRISCI (Unità di personale interno)
• LORENZO GENESIO (Persona)
• BENIAMINO GIOLI (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Agricultural and forest meteorology (Rivista)

Insieme di parole chiave di

• Parole chiave di "Empirical modelling of regional and national durum wheat quality" (Insieme di parole chiave)