1
Effect of Climate on Spring Phenology and Harvest Dates in Apple cv. ‘Fuji’ and ‘Hongro’ Jung Gun cho 1 , Hyun Hee Han 2 , Sunil Kumar 1 , Patrick Martin 1 and Han Chan Lee 2 Introduction Apple 'Fuji' and 'Hongro' are important cultivars in the fruit industry in Korea. Climate changes are forecasted that they would affect apple trees’ phenological changes. With 4 years’ recent observation data across Korea, we found some models and mapped with them for predicting future changes. Spring phenology such as budburst and full bloom were well related with the variables which we considered in this study while the harvest date could not be found the relationships with the variables. Material and Method Research sites - 41 sites: orchards or research stations Survey Period: 4 years(2011~2014) Cultivars and dependent variables - ‘Fuji’ and ‘Hongro’ apples - Budburst, Flowering, Full bloom, and Harvest Explanatory variables - Temperature in March(T MAR ), Precipitation in March(P MAR ), Bioclim11(BIO11), Growing degree days(GDD), Latitude(Lat), Elevation(Elv) Prediction with the future climate scenarios - RCP 4.5 and RCP 8.5 1 Colorado State University, Fort Collins, CO 2 National Institute of Horticultural & Herbal Science, Rural Development Administration, Wanju-gun, Republic of Korea 60 80 100 2011 2012 2013 2014 Julian Date Year Bud burst Fuji Apple Hongro Apple 80 90 100 110 120 130 140 2011 2012 2013 2014 Julian Date Year Flowering Fuji Apple Hongro Apple 80 90 100 110 120 130 140 2011 2012 2013 2014 Julian Date Year Full bloom Fuji Apple Hongro Apple 200 220 240 260 280 300 320 2011 2012 2013 2014 Julian Date Year Harvest Fuji Apple Hongro Apple Table 3. Models evaluated for the budburst date of 'Hongro' Apple Dependent variable Predictor Parameter estimate P Adjusted R 2 df F P ‘Fuji’ Apple Budburst T MAR -1.42138 0.0133 0.7773 3, 37 47.55 <0.0001 P MAR -0.11118 0.0004 Elv 0.007902 0.1115 Full bloom T MAR -1.61072 0.0042 0.8192 3, 37 61.4 <0.0001 P MAR -0.11954 0.0001 Elv 0.008316 0.0842 ‘Hongro’ Apple Bud Burst T MAR -4.60483 <0.0001 0.8022 3, 37 55.08 <0.0001 P MAR -0.06563 0.0068 GDD 0.006832 0.0286 Full bloom T MAR -4.00829 <0.0001 0.8176 3, 37 60.79 <0.0001 P MAR -0.07603 0.0008 GDD 0.005185 0.0668 No Variables No. of variables AIC ΔAIC Adjusted R 2 1 T MAR ,P MAR , GDD 3 187.50 0.00 0.80 2 T MAR , Elv 2 188.52 1.02 0.79 3 T MAR ,P MAR , Elv 3 189.30 1.81 0.79 4 T MAR ,P MAR , GDD, Elv 4 189.48 1.98 0.80 5 T MAR ,P MAR 2 190.88 3.38 0.78 6 T MAR ,P MAR , BIO11, GDD, Lat 5 191.10 3.60 0.79 7 T MAR ,P MAR , BIO11, GDD, Elv 5 191.38 3.88 0.79 8 T MAR ,P MAR , Latitude 3 192.40 4.90 0.78 9 T MAR ,P MAR , BIO11, GDD, Lat, Elv 6 193.10 5.60 0.79 10 T MAR 1 204.53 17.03 0.69 No Variables No. of variables AIC ΔAIC Adjusted R 2 1 T MAR ,P MAR , GDD 3 180.23 0.00 0.82 2 T MAR ,P MAR , GDD, Elv 4 181.99 1.75 0.81 3 T MAR ,P MAR 2 182.01 1.77 0.81 4 T MAR ,P MAR , BIO11, GDD 3 182.23 2.00 0.81 5 T MAR ,P MAR , Elv 3 182.53 2.30 0.81 6 T MAR ,P MAR , BIO11 3 183.46 3.22 0.80 7 T MAR ,P MAR , BIO11, GDD, Latitude 5 183.63 3.40 0.81 8 T MAR ,P MAR , BIO11, GDD, Elv 5 183.90 3.67 0.81 9 T MAR ,P MAR , BIO11, GDD, Latitude, Elv 6 184.79 4.55 0.81 10 T MAR 1 200.23 20.00 0.69 No Variables No. of variables AIC ΔAIC Adjusted R 2 1 T MAR ,P MAR , Elv 3 172.53 0.00 0.78 2 T MAR ,P MAR , GDD 3 172.82 0.29 0.78 3 T MAR ,P MAR 2 173.38 0.84 0.77 4 T MAR ,P MAR, BIO11, Elv 4 173.66 1.13 0.78 5 T MAR ,P MAR, GDD, Elv 4 174.33 1.80 0.77 6 T MAR ,P MAR , BIO11, GDD 3 174.56 2.03 0.77 7 T MAR ,P MAR , BIO11 3 175.36 2.83 0.76 8 T MAR ,P MAR , BIO11, GDD, Lat 5 176.21 3.68 0.77 9 T MAR ,P MAR , BIO11, GDD, Lat, Elv 6 177.47 4.94 0.76 10 T MAR 1 187.26 14.73 0.67 No Variables No. of variables AIC ΔAIC Adjusted R 2 1 T MAR ,P MAR , Elv 3 169.78 0.00 0.82 2 T MAR ,P MAR , BIO11, Elv 4 169.86 0.08 0.82 3 T MAR ,P MAR 2 171.13 1.35 0.81 4 T MAR ,P MAR , BIO11, GDD, Elv 4 171.18 1.40 0.82 5 T MAR ,P MAR , GDD, Elv 4 171.33 1.55 0.82 6 T MAR ,P MAR , GDD 3 172.08 2.30 0.81 7 T MAR ,P MAR , BIO11, GDD, Lat, Elv 6 172.20 2.43 0.82 8 T MAR ,P MAR , BIO11 3 173.09 3.32 0.80 9 T MAR , 1 188.16 18.38 0.70 Results Table 4. Models evaluated for the full bloom date of 'Hongro' Apple Table 1. Models evaluated for the budburst date of ‘Fuji' Apple Table 2. Models evaluated for the full bloom date of ‘Fuji' Apple Figure 1. Spring phenology and harvest dates in Apple ‘Fuji’ and ‘HongroTable 5. Best models for ‘Fuji’ and ‘Hongro’ apples 2010 2050 2100 2010 2050 2100 Hongro apple Budburst Full bloom RCP4.5 RCP8.5 RCP4.5 RCP8.5 Fuji apple Week Figure 2. Mapping with climate normals(1981~2010) and the climate scenarios of R CP 4.5 and 8.5

Apple cv. ‘Fuji’ and ‘Hongro€¦ · Apple 'Fuji' and 'Hongro' are important cultivars in the fruit industry in Korea. Climate changes are forecasted that they would affect

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Page 1: Apple cv. ‘Fuji’ and ‘Hongro€¦ · Apple 'Fuji' and 'Hongro' are important cultivars in the fruit industry in Korea. Climate changes are forecasted that they would affect

Effect of Climate on Spring Phenology and Harvest Dates in Apple cv. ‘Fuji’ and ‘Hongro’

Jung Gun cho1, Hyun Hee Han2, Sunil Kumar1, Patrick Martin1 and Han Chan Lee2

Introduction

Apple 'Fuji' and 'Hongro' are important cultivars in the fruit industry in

Korea. Climate changes are forecasted that they would affect apple trees’

phenological changes. With 4 years’ recent observation data across Korea,

we found some models and mapped with them for predicting future

changes. Spring phenology such as budburst and full bloom were well

related with the variables which we considered in this study while the

harvest date could not be found the relationships with the variables.

Material and Method

Research sites

- 41 sites: orchards or research stations

Survey Period: 4 years(2011~2014)

Cultivars and dependent variables

- ‘Fuji’ and ‘Hongro’ apples

- Budburst, Flowering, Full bloom, and Harvest

Explanatory variables

- Temperature in March(TMAR), Precipitation in March(PMAR),

Bioclim11(BIO11), Growing degree days(GDD), Latitude(Lat),

Elevation(Elv)

Prediction with the future climate scenarios

- RCP 4.5 and RCP 8.5

1Colorado State University, Fort Collins, CO2National Institute of Horticultural & Herbal Science,

Rural Development Administration, Wanju-gun, Republic of Korea

60

80

100

2011 2012 2013 2014

Julia

n D

ate

Year

Bud burst

Fuji Apple Hongro Apple

80

90

100

110

120

130

140

2011 2012 2013 2014

Julia

n D

ate

Year

Flowering

Fuji Apple Hongro Apple

80

90

100

110

120

130

140

2011 2012 2013 2014

Julia

n D

ate

Year

Full bloom

Fuji Apple Hongro Apple

200

220

240

260

280

300

320

2011 2012 2013 2014

Julia

n D

ate

Year

Harvest

Fuji Apple Hongro Apple

Table 3. Models evaluated for the budburst date of 'Hongro' Apple

Dependent variable PredictorParameter estimate P

Adjusted R2 df F P

‘Fuji’ Apple Budburst TMAR -1.42138 0.0133 0.77733, 37 47.55 <0.0001

PMAR -0.11118 0.0004Elv 0.007902 0.1115

Full bloom TMAR -1.61072 0.0042 0.81923, 37 61.4 <0.0001

PMAR -0.11954 0.0001Elv 0.008316 0.0842

‘Hongro’ Apple Bud Burst TMAR -4.60483 <0.0001 0.80223, 37 55.08 <0.0001

PMAR -0.06563 0.0068GDD 0.006832 0.0286

Full bloom TMAR -4.00829 <0.0001 0.81763, 37 60.79 <0.0001

PMAR -0.07603 0.0008GDD 0.005185 0.0668

No VariablesNo. of

variablesAIC ΔAIC

Adjusted R2

1 TMAR, PMAR, GDD 3 187.50 0.00 0.802 TMAR, Elv 2 188.52 1.02 0.793 TMAR, PMAR, Elv 3 189.30 1.81 0.794 TMAR, PMAR, GDD, Elv 4 189.48 1.98 0.805 TMAR, PMAR 2 190.88 3.38 0.786 TMAR, PMAR, BIO11, GDD, Lat 5 191.10 3.60 0.797 TMAR, PMAR, BIO11, GDD, Elv 5 191.38 3.88 0.798 TMAR, PMAR, Latitude 3 192.40 4.90 0.789 TMAR, PMAR, BIO11, GDD, Lat, Elv 6 193.10 5.60 0.7910 TMAR 1 204.53 17.03 0.69

No VariablesNo. of

variablesAIC ΔAIC

Adjusted R2

1 TMAR, PMAR, GDD 3 180.23 0.00 0.822 TMAR, PMAR, GDD, Elv 4 181.99 1.75 0.813 TMAR, PMAR 2 182.01 1.77 0.814 TMAR, PMAR, BIO11, GDD 3 182.23 2.00 0.815 TMAR, PMAR, Elv 3 182.53 2.30 0.816 TMAR, PMAR, BIO11 3 183.46 3.22 0.807 TMAR, PMAR, BIO11, GDD, Latitude 5 183.63 3.40 0.818 TMAR, PMAR, BIO11, GDD, Elv 5 183.90 3.67 0.819 TMAR, PMAR, BIO11, GDD, Latitude, Elv 6 184.79 4.55 0.8110 TMAR 1 200.23 20.00 0.69

No VariablesNo. of

variablesAIC ΔAIC

Adjusted R2

1 TMAR, PMAR, Elv 3 172.53 0.00 0.782 TMAR, PMAR, GDD 3 172.82 0.29 0.783 TMAR, PMAR 2 173.38 0.84 0.774 TMAR, PMAR, BIO11, Elv 4 173.66 1.13 0.785 TMAR, PMAR, GDD, Elv 4 174.33 1.80 0.776 TMAR, PMAR, BIO11, GDD 3 174.56 2.03 0.777 TMAR, PMAR, BIO11 3 175.36 2.83 0.768 TMAR, PMAR, BIO11, GDD, Lat 5 176.21 3.68 0.779 TMAR, PMAR, BIO11, GDD, Lat, Elv 6 177.47 4.94 0.7610 TMAR 1 187.26 14.73 0.67

No VariablesNo. of

variablesAIC ΔAIC

Adjusted R2

1 TMAR, PMAR, Elv 3 169.78 0.00 0.822 TMAR, PMAR, BIO11, Elv 4 169.86 0.08 0.823 TMAR, PMAR 2 171.13 1.35 0.814 TMAR, PMAR, BIO11, GDD, Elv 4 171.18 1.40 0.825 TMAR, PMAR, GDD, Elv 4 171.33 1.55 0.826 TMAR, PMAR, GDD 3 172.08 2.30 0.817 TMAR, PMAR, BIO11, GDD, Lat, Elv 6 172.20 2.43 0.828 TMAR, PMAR, BIO11 3 173.09 3.32 0.809 TMAR, 1 188.16 18.38 0.70

Results

Table 4. Models evaluated for the full bloom date of 'Hongro' Apple

Table 1. Models evaluated for the budburst date of ‘Fuji' Apple

Table 2. Models evaluated for the full bloom date of ‘Fuji' Apple

Figure 1. Spring phenology and harvest dates in Apple ‘Fuji’ and ‘Hongro’

Table 5. Best models for ‘Fuji’ and ‘Hongro’ apples

2010 2050 2100 2010 2050 2100

Hon

gro

apple

Budburst Full bloom

RCP4.5

RCP8.5

RCP4.5

RCP8.5

Fu

ji a

pple

Week

Figure 2. Mapping with climate normals(1981~2010) and the climate scenarios of R

CP 4.5 and 8.5