1992
DOI: 10.1007/978-3-642-58132-8
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The Bioclimatology of Frost

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Cited by 63 publications
(24 citation statements)
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“…The iterative χ 2 technique used in this study was the same as that previously used to determine the association of daily weather occurences for apple produciton (Caprio and Quamme 1999) and for winter kill of wheat (Kalma et al 1992). A long set of annual production data from 1930 to 1989 (60 yr) for the Okanagan and Similkameen Valleys was available for this study (John Vielvoye, grape extension specialist, British Columbia Ministry of Food and Agriculture, now retired, Kelowna, BC) (Fig.1).…”
Section: Methodsmentioning
confidence: 99%
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“…The iterative χ 2 technique used in this study was the same as that previously used to determine the association of daily weather occurences for apple produciton (Caprio and Quamme 1999) and for winter kill of wheat (Kalma et al 1992). A long set of annual production data from 1930 to 1989 (60 yr) for the Okanagan and Similkameen Valleys was available for this study (John Vielvoye, grape extension specialist, British Columbia Ministry of Food and Agriculture, now retired, Kelowna, BC) (Fig.1).…”
Section: Methodsmentioning
confidence: 99%
“…The associations between daily weather measurements and apple production for the Okanagan Valley of British Columbia (Caprio and Quamme 1999) and winter kill of wheat in Montana (Kalma et al 1992) were determined from long-term records using an iterative χ 2 method. In this study, the iterative χ 2 method was applied to historical records to ascertain the associations between weather and grape production (Vitis spp.…”
mentioning
confidence: 99%
“…Other ways would be to avoid risky areas such as low-lying depressions and west-facing slopes when dealing with susceptible crops. Other management practices to avert losses would be to modify the physical environment of the crop following the methods suggested by Synder and De Melo-Abreu (2005), Kalma et al (1992) and Wratt et al (2006). These methods include wind induction, sprinkler irrigation, smoky fires on the farm, mulching and adoption of green house technologies.…”
Section: Discussionmentioning
confidence: 99%
“…They are influenced by terrain aspects combined with meteorological factors such as wind, clouds and humidity. Research by Kalma et al (1992) verified that cloud cover, wind and elevation, could be combined in an equation to give a good prediction of the expected minimum ground temperature at any particular site. In addition, Avissar and Mahrer (1988) developed a model that combines the factors that affect minimum night land surface temperature (LST) to include topography, humidity, land cover, soil moisture and wind velocity.…”
Section: Introductionmentioning
confidence: 97%
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