5 tree biology fruit growth.ppt - fruit &...
TRANSCRIPT
Fruit Growth
Ted DeJong
5Tree_Biology_Fruit_Growth_DeJong 1
Fruit growth is made up a cell dvision phase and a cell enlargement
phase. The length of the cell division phase varies with species.
5Tree_Biology_Fruit_Growth_DeJong 2
Shape of typical fruit growth curves
5Tree_Biology_Fruit_Growth_DeJong 3
Growth curves for nuts can be quite different ‐‐hazelnut
5Tree_Biology_Fruit_Growth_DeJong 4
Walnut
5Tree_Biology_Fruit_Growth_DeJong 5
Almond fruit development
Note that the seed cavity is filled up the whole time that the fruit is growing. First with “cheap” nucellar tissue, then with endosperm (hashed lines), then with the seed cotyledons (clear white).
5Tree_Biology_Fruit_Growth_DeJong 6
Almond
5Tree_Biology_Fruit_Growth_DeJong 7
Pistachio fruit growth is quite different. The house is built first then it is filled.
5Tree_Biology_Fruit_Growth_DeJong 8
Pistachio cont.
5Tree_Biology_Fruit_Growth_DeJong 9
Presence of seeds can affect fruit growth
5Tree_Biology_Fruit_Growth_DeJong 10
Fruit growth and yield are dependent on two separate, but interdependent sets of processes.
• Developmental processes (driving rates of fruit maturation and demand for carbohydrates and nutrients)
• Assimilation processes (determining the supply of carbohydrates and nutrients available to support growth and development)
5Tree_Biology_Fruit_Growth_DeJong 11
What do we know about fruit developmental processes?
• The individual fruit growth potential of a given cultivar is governed by a relative growth rate (compound interest rate) function.
• Rates of fruit maturity (time between bloom and harvest) are mainly controlled by heat unit accumulation between bloom and 30 days after bloom.
• When early spring temperatures are high fruit development rates are rapid but fruit size can be negatively affected.
5Tree_Biology_Fruit_Growth_DeJong 12
Calendar day
80 100 120 140 160 180 200 220
Fru
it fr
esh
mas
s (g
/ fr
uit)
0
50
100
150
200
250
Control: no fertilizer appliedSpring N: 200 kg·ha-1 N applied April 1994Fall N: 200 kg·ha-1 N applied September 1993Split N: 100 kg·ha-1 N applied September 1993 + 100 kg·ha-1 N applied April 1994
Peaches and other stone fruit are described as having a double sigmoid growth curve. This pertains mainly to the increase in fresh fruit mass of later (July – Sept.) maturing cultivars. These fruits are described as having three stages of fruit growth.
Stage I
Stage II
Stage III
5Tree_Biology_Fruit_Growth_DeJong 13
When fruit mass is expressed on a dry weight basis the double sigmoid nature of peach fruit growth becomes less obvious and when early maturing cultivars are analyzed it disappears entirely.
5Tree_Biology_Fruit_Growth_DeJong 14
When fruit growth is expressed as a rate per unit time the biphasic pattern of growth becomes clear even on a dry weight basis in late maturing cultivars but it is not apparent in very early maturing cultivars. It is generally thought that breeding for early maturing cultivars has cut out the middle stage of fruit growth.
5Tree_Biology_Fruit_Growth_DeJong 15
There has been a lot of debate about the cause of the double sigmoid pattern of fruit growth but it is now clear that it is primarily just an outcome of the development patterns of fruit over daily (or smaller) time steps relative to their size or development state at the beginning of a time step. In other words the growth potential of an organ over any given time interval is a function of its size at the beginning of the interval and its development pattern over the interval.
5Tree_Biology_Fruit_Growth_DeJong 16
Expressing fruit growth as a relative growth rate (RGR) (mass/unit mass/unit time) captures this concept. (RGR is essentially the same as a compound interest rate and the same principles hold—account grows as a function of the interest rate, starting principal, and time.)When analyzed in this way the curves of the early and late maturing fruit look similar except that the RGR remains higher, longer but is then truncated.
5Tree_Biology_Fruit_Growth_DeJong 17
Why is this important? Because it provides a way to understand fruit growth and the responses of fruit growth to crop load, thinning and even weather in different years.The asterisks in the slides on the right indicate periods when the RGR of the fruit on heavily thinned trees was different than on unthinned trees. We assume that the fruit on the heavily thinned trees represent the fruit growth potential since resources should not be limiting growth of these fruits. The fruit on unthinned trees show the RGR response to excess crop load.
5Tree_Biology_Fruit_Growth_DeJong 18
Note that in early spring the absolute growth rate (AGR) of the unthinned fruit departed from the thinned fruit curve at the same time as RGR became different in the previous slide. But in Cal Red the AGR of the unthinned fruit remained different than the AGR of the thinned fruit during Stage II even though RGR’s were not different. This is because even though the RGRs were the same, the fruit mass was different at the beginning of each interval and thus the AGR was different. 5Tree_Biology_Fruit_Growth_DeJong 19
Note that this results in an increasing departure of the cumulative dry weight of the unthinned fruit relative to the thinned fruit over the season. By reviewing the RGR and AGR curves we can see that this was the result of two interacting factors. Excessive crop load causing a lack of resources to support potential growth rates at specific time intervals, and decreases in potential growth rates subsequent to any interval when a potential RGR was not achieved.
5Tree_Biology_Fruit_Growth_DeJong 20
What happens when crop load “stress” is relieved by fruit thinning at different times?Cumulative fruit mass never fully recovers because when growth falls behind potential for any interval, additional growth is compounded on the actual mass at the beginning of each interval, not on the potential mass. 5Tree_Biology_Fruit_Growth_DeJong 21
Back to the L-Peach model. Another feature of the model is that we can simulated fruit thinning. Fruit thinning can be done manually (as in the orchard) by selectively removing individual fruit or automatically by specifying the date of thinning and the minimum distance (number of metamers) between fruit at the beginning of a simulation.
5Tree_Biology_Fruit_Growth_DeJong 22
0
200
400
600
800
1000
1200
1400
75 125 175 225 275
unthinned
Day of year
Frui
t loa
d (n
o. fr
uits
tree
-1)
Crop load with no fruit thinning
5Tree_Biology_Fruit_Growth_DeJong 23
0
200
400
600
800
1000
1200
1400
75 125 175 225 275
unthinned90DAB
Day of year
Frui
t loa
d (n
o. fr
uits
tree
-1)
5Tree_Biology_Fruit_Growth_DeJong 24
0
200
400
600
800
1000
1200
1400
75 125 175 225 275
unthinned90DAB60DAB
Day of year
Frui
t loa
d (n
o. fr
uits
tree
-1)
5Tree_Biology_Fruit_Growth_DeJong 25
0
200
400
600
800
1000
1200
1400
75 125 175 225 275
unthinned90DAB60DAB30DAB
Day of year
Frui
t loa
d (n
o. fr
uits
tree
-1)
5Tree_Biology_Fruit_Growth_DeJong 26
0
200
400
600
800
1000
1200
1400
75 125 175 225 275
unthinned90DAB60DAB30DABBLOOM
Day of year
Frui
t loa
d (n
o. fr
uits
tree
-1)
5Tree_Biology_Fruit_Growth_DeJong 27
60 80 100 120 140 160 180 200 220 240 260
2000
4000
6000
8000
10000
12000
14000
16000
Day of year
Tota
l fru
it dr
y m
ass
(g tr
ee-1
)
Unthinned
Total fruit dry mass per tree
5Tree_Biology_Fruit_Growth_DeJong 28
60 80 100 120 140 160 180 200 220 240 260
2000
4000
6000
8000
10000
12000
14000
16000
Day of year
Tota
l fru
it dr
y m
ass
(g tr
ee-1
)
UnthinnedThinned 90 days after bloom
5Tree_Biology_Fruit_Growth_DeJong 29
60 80 100 120 140 160 180 200 220 240 260
2000
4000
6000
8000
10000
12000
14000
16000
Day of year
Tota
l fru
it dr
y m
ass
(g tr
ee-1
)
UnthinnedThinned 90 days after bloomThinned 60 days after bloom
5Tree_Biology_Fruit_Growth_DeJong 30
60 80 100 120 140 160 180 200 220 240 260
2000
4000
6000
8000
10000
12000
14000
16000
Day of year
Tota
l fru
it dr
y m
ass
(g tr
ee -1
)
UnthinnedThinned 90 days after bloomThinned 60 days after bloomThinned 30 days after blooomThinned at bloom
5Tree_Biology_Fruit_Growth_DeJong 31
Mea
n fru
it dr
y m
ass
(g fr
uit -
1 )
60 80 100 120 140 160 180 200 220 240 260
5
10
15
20
25
30
Day of year
Unthinned
Mean individual fruit dry weight
5Tree_Biology_Fruit_Growth_DeJong 32
Mea
n fru
it dr
y m
ass
(g fr
uit -
1 )
60 80 100 120 140 160 180 200 220 240 260
10
15
20
25
30
Day of year
UnthinnedThinned 90 days after bloom
5
5Tree_Biology_Fruit_Growth_DeJong 33
Mea
n fru
it dr
y m
ass
(g fr
uit -
1 )
60 80 100 120 140 160 180 200 220 240 260
10
15
20
25
30
Day of year
UnthinnedThinned 90 days after bloomThinned 60 days after bloom
5
5Tree_Biology_Fruit_Growth_DeJong 34
Mea
n fru
it dr
y m
ass
(g fr
uit -
1 )
60 80 100 120 140 160 180 200 220 240 260
10
15
20
25
30
Day of year
UnthinnedThinned 90 days after bloomThinned 60 days after bloomThinned 30 days after blooomThinned at bloom
5
5Tree_Biology_Fruit_Growth_DeJong 35
Grossman and DeJong 1995, Tree 5Tree_Biology_Fruit_Growth_DeJong 36
1 2 3 4 5 6 7 8 9 1000.20.40.60.8
1
1 2 3 4 5 6 7 8 9 1000.20.40.60.8
1 2 3 4 5 6 7 8 9 1000.20.40.60.8
1 2 3 4 5 6 7 8 9 1000.20.40.60.8
1 2 3 4 5 6 7 8 9 1000.20.40.60.8
Frac
tion
of fr
uit d
istri
butio
n in
to c
lass
es
Fruit dry weight classes
Unthinned887 fruits tree -1
Thinned 90 days after bloom
Thinned 60 days after bloom
Thinned 30 days after bloom
Thinned at bloom
220 fruits tree -1
220 fruits tree -1
220 fruits tree -1
220 fruits tree -1
5Tree_Biology_Fruit_Growth_DeJong 37
Fruit yield data from four clingstone peach cultivars in commercial orchards near Kingsburg California that were thinned on two different dates in 1992. Data indicate means +- se for six, four-tree replications per cultivar and thinning date. Adapted from DeJong et al. 1992.
Cultivar/ThinningDate
Fruit size(gFW/fruit)
Crop Load(fruit/tree)
Yield(tons/Ha)
Loadel20 March18 May
113.3 ± 1.491.9 ± 2.4
1681 ± 641649 ± 40
56.7 ± 2.045.3 ± 1.6
Carson20 March18 May
127.8 ± 4.7108.2 ± 2.5
1576 ± 741427 ± 53
59.4 ± 2.046.0 ± 2.0
Andross21 March18 May
123.6 ± 2.1115.0 ± 1.7
1888 ± 961766 ± 58
69.3 ± 2.760.8 ± 2.7
Ross27 March19 May
163.9 ± 7.0163.9 ± 3.2
1862 ± 991638 ± 69
80.7 ± 2.572.2 ± 3.1
5Tree_Biology_Fruit_Growth_DeJong 38
0 50 100 150 200 250 300 350 400
75
100
125
150
175
200
225
250250
Crop load (no. fruits tree-1)
Fru
it av
erag
e fres
h m
ass
(g fr
uit -1
)
5
10
15
20
25
30
35
4040
Tot
al C
rop
fres
h yi
eld
(Kg
tree
-1)
Fruit average fresh massTotal Crop fresh yield
Effect of crop load in fruit growth and crop yield
5Tree_Biology_Fruit_Growth_DeJong 39
1 2 3 4 5 6 7 8 9 10
0.1
0.2
0.3
0.40.5
1 2 3 4 5 6 7 8 9 10
0.1
0.2
0.3
0.40.5
1 2 3 4 5 6 7 8 9 10
0.1
0.2
0.3
0.4
0.5
1 2 3 4 5 6 7 8 9 10
0.1
0.20.3
0.40.5
1 2 3 4 5 6 7 8 9 100
0.1
0.2
0.3
0.4
0.5
Fruit fresh mass classes
Fra
ctio
n o
f fru
it in
cla
ss
n = 350
n = 250
n = 200
n = 100
n = 40
Classes (g)1 = < 30 2 = 30 - 603 = 60 - 904 = 90 - 1205 = 120 - 1506 = 150 - 1807 = 180 - 2108 = 210 - 2409 = 240 - 27010 = > 270
5Tree_Biology_Fruit_Growth_DeJong 40
Degree days
0 500 1000 1500 2000 2500
Re
lativ
e G
row
th R
ate
(g g
-1 d
d-)
0.00
0.01
0.02
0.03
0.04
Grossman and DeJong 1995. Annals of Botany 75:553-560.
The red curve on the right represents a peach fruit while the dotted lines is representative of the RGR curve of an apple fruit.
5Tree_Biology_Fruit_Growth_DeJong 41
Degree days
0 500 1000 1500 2000 2500
Re
lativ
e G
row
th R
ate
(g g
-1 d
d-)
0.00
0.01
0.02
0.03
0.04
Fru
it M
ass
Fru
it M
ass
Adjusting the shape and the slope of the relative growth rate curve results in a fruit mass accumulation curve that is characteristic of apple fruit. Thus the basic RGR curve can be adjusted to fit many different fruit crops.
5Tree_Biology_Fruit_Growth_DeJong 42
Environmental factors influencing fruit development rate and final fruit size
• Temperatures have a large effect on rate of fruit development and temperatures are primarily limiting during spring time.
• Growing degree hour accumulation in the first 30 days after bloom strongly influence harvest date for a given cultivar and year.
• Because of this, early spring temperatures also have a strong effect on peach fruit size.
5Tree_Biology_Fruit_Growth_DeJong 43
Cling Peaches
y = -0.0066x + 215.55
y = -0.0080x + 190.87
y = -0.0063x + 180.23
y = -0.0035x + 179.41
y = -0.0068x + 173.52
y = -0.0066x + 168.16
y = -0.0086x + 207.37
y = -0.0066x + 207.36
y = -0.0076x + 218.74
y = -0.0106x + 218.81
110
120
130
140
150
160
170
180
190
200
3500 4000 4500 5000 5500 6000 6500 7000 7500 8000
Sum of GDH one month after bloom
Da
ys
of
fru
it g
row
th
Andross
Bowen
Carolyne
Carson
Corona
Davis
Halford
Loadel
Ross
Starn
5Tree_Biology_Fruit_Growth_DeJong 44
So what?
These relationships indicate that the spring temperatures in the first 30 days after full bloom govern fruit developmental rates and are a major factor in determining the harvest date for a specific cultivar in any given year. This relationship can be used as a tool, early in the season, for growers to estimate the approximate harvest date for stone fruits. This can be easily accomplished, 30 days after bloom, by going to the UC Fruit & Nut Research and Information Center web site (http://fruitsandnuts.ucdavis.edu).
5Tree_Biology_Fruit_Growth_DeJong 45
Once there, select ‘Weather Services,’ then ‘Harvest Prediction Model.’Select the location of your nearest California Irrigation Management Information System (CIMIS) weather station and enter the date of full bloom. The data that will be shown are the accumulated GDH during the first 30 days after bloom. Using this number, you can estimate from Figure 1 how many days there will be from full bloom to harvest for this year.
5Tree_Biology_Fruit_Growth_DeJong 46
5Tree_Biology_Fruit_Growth_DeJong 47
5Tree_Biology_Fruit_Growth_DeJong 48
Peaches
y = -0.0056x + 186.86
y = -0.0061x + 161.74
y = -0.006x + 136.76
y = -0.0058x + 108.82
y = -0.0036x + 89.57350
70
90
110
130
150
170
190
3000 4000 5000 6000 7000 8000 9000
Sum of GDH one month after bloom
Da
ys
of
fru
it g
row
th FlavorCrest
Queen Crest
E.Lady
Maycrest
O'Henry
If the current year is like 2005 and there are 6,851 Growing Degree Hours accumulated between full bloom and 30 days after full bloom Then for Elegant Lady peaches you can expect harvest to be about 123 +/- 3 days from full bloom as indicated below. Keep in mind that weather near the time of harvest and local growing conditions (such as soil type, water status, tree nutrition, etc.) can also have some effect on the harvest date.
5Tree_Biology_Fruit_Growth_DeJong 49
y = -0.001 x + 41. 55P < 0.001
R2 = 0.4117
30
32
34
36
38
40
42
0 2 4 6 8 10
Kingsburg
Modesto
Yuba City
R D
F S
( m
m )
G D H 3 0 ( x 10 3 )
Higher temperatures in early spring also tend to reduce fruit size at reference date (at the end of Stage I of fruit growth). And because fruit grow according to a RGR function, average fruit size at harvest is also usually smaller, all other things being equal.
Why is fruit size at reference date negatively affected by early spring temperatures?
5Tree_Biology_Fruit_Growth_DeJong 50
y = 0.2008x + 21.574
P < 0.001
R2
= 0.6254
30
32
34
36
38
40
42
50 60 70 80 90
Kingsburg
Modesto
Yuba City
A
R D
F S
(
m m
)
F B D to R D ( d )
Reference date fruit size is highly dependent on the time (days) between bloom and reference date, in other words the rate of fruit development. When development rates are rapid, fruit size at reference date is smaller.
5Tree_Biology_Fruit_Growth_DeJong 51
y = - 0.0049 x + 101.45P < 0.001
R 2= 0.5944
50
60
70
80
90
100
0 2 4 6 8 10
Kingsburg
Modesto
Yuba City
A
F B
D
t o
R
D
( d
)
G D H 3 0 ( x 10 3 )
And, the rate of fruit development is strongly influenced by the temperature or heat accumulation (Growing Degree Hours) during the first 30 days after bloom (GDH30).
Basicly, when spring temperatures are very warm, fruit development rates are faster than the ability of the plant to supply resources to support the potential RGR, and because of the way the RGR function works early fruit size differences can be carried thru to harvest.
5Tree_Biology_Fruit_Growth_DeJong 52
Using a computer model to see how warm springs cause smaller fruit size?
This is counter‐intuitive since we aren’t talking about temperatures above 30o C (86o F).
5Tree_Biology_Fruit_Growth_DeJong 53
0
10
20
30
40
50
0 450 900 1350 1800 2250
Degree-days after bloom
Fru
it R
GR
(m
g g-1
dd-1
frui
t-1)
Spring Lady
Cal Red
From Grossman and DeJong 19955Tree_Biology_Fruit_Growth_DeJong 54
0
10
20
30
40
50
60
70
80
60 80 100 120 140 160 180 200 220
1990
2004
2006
FullBloom
Spring Lady
60 80 100 120 140 160 180 200 220 240
FullBloom
Cal Red
Day of year
Fru
it dry
wei
ght (g
fru
it -1)
If we use the RGR functions shown on the previous slide to project potential fruit dry weight growth for three contrasting seasons we see substantial differences in the timing of potential fruit sink demands for carbon.
5Tree_Biology_Fruit_Growth_DeJong 55
Cal Red
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
60 70 80 90 100 110 120 130 140
1990
2004
2006
Full bloom
Spring Lady
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Full bloom
Day of year
Fru
it ab
solu
te g
row
th r
ate
(g d
ay-1 fru
it-1)
The differences between seasons is even more apparent when potential absolute fruit growth rates of individual fruits are calculated for the first 50 days after bloom.
5Tree_Biology_Fruit_Growth_DeJong 56
Cal Red
(2000 fruits tree-1)
0
1000
2000
3000
4000
5000
6000
7000
60 70 80 90 100 110 120 130 140
Full bloom
Spring Lady
(1000 fruits tree-1)
0
1000
2000
3000
4000
5000
6000
7000
8000199020042006
Full bloom
Day of year
Cum
ulat
ive
dry
wei
ght gr
owth
req
uire
men
t (
g tr
ee-1)
When the individual fruit growth demands are compounded by pre-thinning crop loads during the first 50 days after bloom, the differences in potential carbon demand by the fruit among years is really apparent.
On the other hand how are the differences in temperature among years like to influence carbon supply?
• + effect on leaf Pn rate
• min. effect on canopy Pn because of lack of canopy development within 30 dab
• min. effect on starch mobilization
• greater competition for CH2O from vegetative sinks
5Tree_Biology_Fruit_Growth_DeJong 57
Shoot and root biomass
CHO storage in shoots and roots
Fruit biomass
Canopy C assimilation
Su
pp
ly f
un
ctio
nsD
em
an
d fu
nct
ion
s
The L-Almond model calculates all the carbohydrate supply and demand functions for each hour of a day.
The model indicates that the period corresponding to early fruitlet growth is a time when carbohydrate availability may be particularly limiting.
This may help explain annual variations in yield that do not appear to be related to weather during bloom.
Take home lessons
• High early spring temperatures can be detrimental to fruit size and crop yield
• The potential negative effects are linked to temperature effects on fruit development
• Growers need to be advised to thin fruit early in years with high spring temperatures and heavy fruit set.
• Global warming is likely to have substantial effects on developmental processes in addition to assimilatory processes of fruit trees and some of these are likely to be quite negative.
• “June fruit drop” is caused by a lack of resources to fulfill the growth requirements of all the fruit that were initially set so some fruit abort.
5Tree_Biology_Fruit_Growth_DeJong 59