Chill Hour Assessment for the Yuma Area

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Chill Hour Assessment for the Yuma Area Item Type text; Article Authors Brown, Paul W. Publisher College of Agriculture, University of Arizona (Tucson, AZ) Journal Deciduous Fruit and Nut: A College of Agriculture Report Download date 22/07/2018 04:27:07 Link to Item http://hdl.handle.net/10150/215724

Chill Hour Assessment for the Yuma Area Paul W. Brown Introduction Deciduous fruits generally require some exposure to cool weather during dormancy in order to flower and fruit properly in the subsequent spring. This so-called chill requirement varies with species and variety and is commonly expressed in terms of chill hours -- hours of exposure to temperatures below 45F. In recent years some Yuma area growers have expressed an interest in growing low chill" varieties of deciduous fruit. This interest has translated into numerous questions pertaining to chill accumulation in the Yuma area. This report summarizes the results from a recent study designed to assess the wintertime chill conditions in the Yuma area. Methods The assessment of wintertime chill was conducted using historical weather records from the Yuma area and data collected from automated weather stations operated by the Arizona Meteorological Network ( AZMET). The historical records consisted of maximum and minimum daily temperatures for the Yuma Valley (University of Arizona (UA) Yuma Agricultural Center) and Yuma Airport stations for the period 1949-78 and were obtained from the Office of the State Climatologist. AZMET data consisted of hourly means and daily extremes of air temperature from the Yuma Valley, Yuma Mesa and Yuma North Gila stations. The Yuma Valley and Yuma Mesa AZMET stations are located on farms operated by the UA Yuma Agricultural Center; the North Gila station is located in the North Gila Valley on property owned by Bruce Church Inc. Because the historical data sets provided only daily temperature extremes, it was necessary to develop a relationship between chill hour accumulation and daily maximum and minimum temperature. An analysis of data obtained from the AZMET stations revealed that daily accumulation of chill hours could be estimated with reasonable accuracy using the following equation: HR45=7.3-0.6DL+.24.OS where: HR45 is the number of hours below 45F (maximum value = 24) DL is the daylength in hours S = (45F -MIN) /(MAX-MIN) MIN is the daily minimum temperature MAX is the daily maximum temperature (must be above 45F) This equation was developed for use with daily temperatures and as such provides a daily accumulation of hours under 45F. When compared against independent AZMET data sets the equation was accurate to within approximately +/- 10% (when used to estimate monthly totals of H45). Monthly totals of H45 were obtained for November, December, January and February for Yuma Valley and Yuma Airport for each winter in the historical record using the equation presented above. Monthly and seasonal means of H45 for the 30 -year period 1949-78 were computed from the relevant H45 totals obtained for each winter. 155

Results and Discussion Wintertime (Nov.-Feb.) accumulation of H45 at Yuma Valley and the Yuma Airport for the period 1949-78 is presented in Figure 1. Monthly and seasonal means of H45 are presented in Table 1. Table 1 and Figure 1 both show that H45 differs significantly between the Yuma Airport and the Yuma Valley for each month and for the season. The seasonal accumulations average 580 and 313 hours for the valley and airport locations respectively (Table 1). The large difference in H45 between the two locations results from differences in minimum temperatures (Table 2). Valley temperatures average around 6F colder than airport temperatures at night. 800 - YU MA VALLEY - 600-\A- 400-0 I 1949 YUMA AIRPORT t t I I t I t t It t t t t} t t t t 1954 1959 1964 1969 1974 1979 YEAR Figure L Number of wintertime (Nov.-Feb.) hours with temperatures below 45F at Yuma Valley and the Yuma Airport between 1949 and 1978. Gaps in the lines indicate inadequate data was available for analysis. The year- to-year variation in HR45 also is quite large for both locations. The large standard deviations in Table 1 (relative to monthly and seasonal mean values), the 30-year extremes of seasonal H45 accumulations (bottom of Table 1) and Figure 1 clearly illustrate this year- to-year variation. 156

Table 3 provides more evidence of the importance of location on chill accumulation. The table shows the actual number of hours of below 45F temperatures accumulated at the Yuma -area AZMET stations since their installation. Accumulation of chill hours at the valley and mesa locations has been quite similar over the past four winters. The location in the North Gila Valley accumulates decidedly more hours under 45F. A question might arise as to why the chill accumulation at the AZMET mesa and valley locations is similar when the longterm comparison between the airport (on the mesa) and the valley differ so much. The answer lies in location - induced changes in microclimate that greatly affect nighttime temperatures. Historical temperature records (Table 2) show that minimum temperatures at the two UA farms (Valley and Citrus Station in Table 2) differ by 1.5-2F and are considerably colder (4-6F) than minimum temperatures observed at the airport. Recent data collected by AZMET confirm the similarity in nighttime temperatures at the UA farms (about 1F on many nights). It is this similarity in nighttime temperature that produces similar H45 accumulations at the two UA farms (Table 3). Conclusions The above analysis shows that the number of hours of temperature under 45F in the Yuma area varies significantly among locations and years. If the airport is assumed to be the warmest location in the area, then one can use the long -term mean value of H45 (313) and lowest seasonal accumulation of H45 (53) obtained there as indicators of the worst case scenario for chill accumulation. However, growers should be aware that chill accumulation can vary by a factor of 2 across the Yuma area. Growers considering a new planting of chillsensitive deciduous fruit are advised to conduct a wintertime temperature assessment of the proposed orchard site to determine the site's chill characteristics. Author's Note There is a considerable body of literature on the subject of chill and its importance in fruit and nut production. One topic not considered here but believed to be important is the negation of chill at temperatures above 68F- 70F. Warm temperatures apparently "undo" chill during the winter months. The Yuma area has quite a few winter days above this 68F -70F temperature range and likely loses some chill to this negation effect. 157

Table 1. Mean number of hours with temperature below 45F by month and season for Yuma Valley and Yuma Airport for period 1949-78. Hours Below 45F Yuma Valley Standard Deviation Hours Below 45F Yuma Airport Standard Deviation NOVEMBER 62 34 21 20 DECEMBER 193 53 112 50 JANUARY 209 66 128 56 FEBRUARY 117 49 52 41 NOV.-FEB. 580* 119 313** 91 *Highest Accumulation = 864 (1963/64) * *Highest Accumulation = 494 (1971/72) Lowest Accumulation = 259 (1977/78) Lowest Accumulation = 53 (1977/78) 158

Table 2. Average maximum and minimum temperatures for the winter months in the Yuma area. JANUARY FEBRUARY NOVEMBER DECEMBER Max. Min. Max. Min. Max. Min. Max. Min. (F) (F) (F) (F) (F) (F) (F) (F) YUMA VALLEY 68.2 37.0 73.0 40.0 77.9 43.4 69.5 38.3 YUMA CITRUS STN. 67.9 38.5 73.1 41.5 77.6 45.4 69.0 40.2 YUMA AIRPORT 68.5 43.3 74.0 46.1 77.8 50.5 69.0 43.9 159

Table 3. Number of hours with temperatures below 45F for three Yuma Co. locations monitored by AZMET weather stations. NA indicates no data are available. MONTH /YR Yuma Valley Yuma Mesa Yuma N. Gila NOV /86 29 26 NA DEC /86 168 145 NA JAN /87 178 175 NA FEB /87 78 92 NA WINTER TOTAL 453 438 NA NOV /87 74 72 NA DEC /87 196 187 NA JAN /88 126 131 NA FEB /88 52 44 52 WINTER TOTAL 448 434 NA NOV /88 55 61 89 DEC /88 192 174 214 JAN /89 135 152 185 FEB /89 92 110 135 WINTER TOTAL 474 497 623 NOV /89 9 17 31 DEC /89 130 152 194 JAN /90 167 178 236 FEB /90 145 157 167 WINTER TOTAL 452 504 628 160