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- W2273319279 abstract "Functional relationships between physical variables and harvest time and fruit quality have been identified for a 'Golden delicious' apple cultivar. A spatial interpolation of maximum and minimum temperature and of solar radiation was necessary for fitting physical data to physico-chemical surveys on apples. Daily data from 14 meteorological stations were input into a Geographical Information System (GIS) for the period 1994-1998, aiming at a definition of the horizontal and vertical variability of temperature. A simple inverse squared distance spatial interpolation method yielded acceptable mean errors (about 1°C) for daily temperatures, after a homogenisation of values to a standard level of 0 m performed by a second degree equation. Measured solar radiation was considered in order to obtain gridded estimates on an inclined plane with several aspects. Apple quality and ripeness parameters were computed from 434 physico-chemical analyses carried out between 1995 and 1998. Several multilinear regression functions were identified from analyses of 1997-1998 data, linking apple ripeness and quality parameters to meteorological and geomorphological parameters. Among these, two - Streif index and starch content, both ripeness indices - showed acceptable values of predictability and errors." @default.
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- W2273319279 date "2003-01-01" @default.
- W2273319279 modified "2023-09-28" @default.
- W2273319279 title "An application of spatial interpolation of agrometeorological data to apple ripening models." @default.
- W2273319279 doi "https://doi.org/10.1400/14140" @default.
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