ArticlePDF Available

Responses of apple fruit size to tree water status and crop load

Authors:

Abstract and Figures

The combined effects of irrigation rate and crop load on apple yield and fruit size were examined in two commercial apple orchards (cv. Golden Delicious) in a semi-arid zone. The irrigation rates applied were 1, 3 and 7 mm day(-1), and the two fruit thinning treatments involved adjusting crop load to 100 and 300 fruits per tree at Ortal and 50 and 150 fruits per tree at Matityahu. Unthinned trees served as the control. The fruit from each tree was picked separately, and fruit size distribution was determined with a commercial grading machine. Midday stem water potentials varied from -0.9 to -2.8 MPa, crop load varied from 80,000 to 1,900,000 fruit ha(-1) and crop yield varied from 10 to 144 Mg ha(-1). Midday stem water potential decreased with increasing crop load in all irrigation treatments at Matityahu, but only in the 1 mm day(-1) treatment at Ortal. The extent of the lowering of midday stem water potential by crop load decreased with increasing soil water availability. At both orchards, a similar response of total crop yield to crop load on a per hectare basis was observed. Mean fruit mass and relative yield of fruit > 70 mm in diameter increased with midday stem water potential, with the low crop loads having similar but steeper slopes than the high crop load. The responses of mean fruit mass and relative yield of fruit > 70 mm in diameter to midday stem water potential were similar at both orchards, perhaps indicating that thresholds for irrigation scheduling are transferable to other orchards within a region. Factors that may limit the transferability of these thresholds are discussed.
Content may be subject to copyright.
Summary The combined effects of irrigation rate and crop
load on apple yield and fruit size were examined in two com-
mercial apple orchards (cv. Golden Delicious) in a semi-arid
zone. The irrigation rates applied were 1, 3 and 7 mm day–1,
and the two fruit thinning treatments involved adjusting crop
load to 100 and 300 fruits per tree at Ortal and 50 and 150 fruits
per tree at Matityahu. Unthinned trees served as the control.
The fruit from each tree was picked separately, and fruit size
distribution was determined with a commercial grading ma-
chine. Midday stem water potentials varied from –0.9 to
2.8 MPa, crop load varied from 80,000 to 1,900,000 fruit ha–1
and crop yield varied from 10 to 144 Mg ha–1. Midday stem
water potential decreased with increasing crop load in all irri-
gation treatments at Matityahu, but only in the 1 mm day–1
treatment at Ortal. The extent of the lowering of midday stem
water potential by crop load decreased with increasing soil wa-
ter availability. At both orchards, a similar response of total
crop yield to crop load on a per hectare basis was observed.
Mean fruit mass and relative yield of fruit > 70 mm in diameter
increased with midday stem water potential, with the low crop
loads having similar but steeper slopes than the high crop load.
The responses of mean fruit mass and relative yield of fruit
> 70 mm in diameter to midday stem water potential were simi-
lar at both orchards, perhaps indicating that thresholds for irri-
gation scheduling are transferable to other orchards within a re-
gion. Factors that may limit the transferability of these thresh-
olds are discussed.
Keywords: irrigation, Malus domestica, stem water potential,
water stress indicators.
Introduction
Dryland orchards can survive and be productive in temperate
zones without irrigation, whereas the survival of deciduous or-
chards in semi-arid zones depends on the availability of water
for irrigation throughout most of the growing season. World-
wide, the amount of fresh water available for agricultural use is
decreasing, so there is a need to increase water-use efficiency.
This goal may be achieved either by improving genetic perfor-
mance and horticultural practices, or by improving irrigation
scheduling.
Modern irrigation scheduling of deciduous orchards is
based on sets of crop coefficients derived from reference crop
evapotranspiration (Allen et al. 1998). However, published
crop coefficients may require adjustment to suit actual condi-
tions because water use in commercial orchards varies with
numerous combinations of many factors. These factors in-
clude cultivar (Robinson and Lakso 1991), rootstock ( Robin-
son and Lakso 1991, Wünsche et al. 1995, Giuliani et al.
1998), training system (Palmer 1993) and row spacing, which
affects light interception on a per hectare basis, the number of
fruit per tree and potential fruit size that, in turn, determine the
crop demand for assimilates. In addition, application effi-
ciency in commercial orchards is always lower than 1 and
there is no straightforward procedure to make site-specific es-
timates of it. The diversity in the above mentioned factors
among plots within an orchard creates considerable uncer-
tainty about optimal irrigation scheduling. Growers may over-
come most of the uncertainty in irrigation scheduling by using
assessments of tree or soil water status to adjust the irrigation
rate once it exceeds a certain threshold. However, adjusting ir-
rigation rate based on water stress assessment is not straight-
forward.
Soil water stress indicators have been proposed as a basis for
evaluating the ability of the soil to meet the peak demand for
water by the tree. Determination of soil water stress is not an
easy task because it involves the integration of soil water char-
acteristics and hydraulic properties in conjunction with the
distribution of roots (sinks) and evaporative demand. More-
over, soil water content is not uniform, even within the root
zone of a single tree. Soil water stress indicators were reported
to have greater variability than maximum daily trunk shrink-
age and midday stem water potential (Naor et al. 1995, 1999,
2000, Goldhamer and Fereres 2001, Intrigliolo and Castel
2004, Naor et al. 2006) because the tree responds to the mean
soil water availability. Thus, measuring tree water status
avoids the need to deal with the variability within the root zone
(Naor 2006). Both midday stem water potential and maximum
daily trunk shrinkage, the most popular proposed plant water
stress indicators, provide an indication of peak water stress but
their correlation with integrated daily canopy conductance and
assimilation rate may vary with climatic conditions and crop
load, and may change during the growing season (e.g., Lakso
1979, Möller et al. 2007) because of osmotic adjustment.
Recent studies indicate that midday stem water potential is a
Tree Physiology 28, 1255–1261
© 2008 Heron Publishing—Victoria, Canada
Responses of apple fruit size to tree water status and crop load
A. NAOR,1,2 S. NASCHITZ,1M. PERES3and Y. GAL3
1Golan Research Institute, P.O. Box 97, Kazrin 12900, Israel
2Corresponding author (amosnaor@research.haifa.ac.il)
3Extension Service, Ministry of Agriculture and Rural Development, Kiryat Shmona 12100, Israel
Received January 31, 2008; accepted March 31 2008; published online June 2, 2008
by guest on May 10, 2011treephys.oxfordjournals.orgDownloaded from
relevant and reliable water stress indicator in fruit trees, but its
use is labor intensive and measurements are limited to about
2 h around midday (see review, Naor 2006). Daily trunk
shrinkage, on the other hand, is highly responsive to water
availability (Goldhamer et al. 1999, 2000, Goldhamer and
Fereres 2001, Fereres and Goldhamer 2003, Naor and Cohen
2003, Intrigliolo and Castel 2004), easy to use and yields an
analog output. However, maximum daily trunk shrinkage is
more dependent on evaporative demand than midday stem wa-
ter potential. Setting thresholds of maximum daily trunk
shrinkage for irrigation scheduling is problematic; however,
calibration of maximum daily trunk shrinkage against midday
stem water potential may provide thresholds for the use of
maximum daily trunk shrinkage for irrigation scheduling
(Naor 2006).
Setting thresholds of midday stem water potential for irriga-
tion scheduling is empirical and the question of the scale and
conditions at which thresholds are transferable among or-
chards has not been examined. The objectives of our study
were (1) to determine the responses of crop yield and fruit size
of apples to combined manipulations of irrigation and crop
load at two distant commercial orchards, and (2) to examine
the possibility of transferring thresholds of midday stem water
potential among apple orchards within a region.
Materials and methods
Experimental site
Two experiments were conducted in the northern part of Israel
during the growing season of 2006, one in the Golan Heights
(Ortal) and the other in the upper Galilee (Matityahu experi-
mental station). Both orchards are situated in a semi-arid zone
where no precipitation occurs during the summer. Reference
crop evapotranspiration was calculated from weather station
data located at 4000 m and 250 m from the experimental sites
at Ortal and Matityahu, respectively. Mean midsummer evapo-
transpiration was 6.9 and 6.6 mm day–1 at Ortal and
Matityahu, respectively. Precipitation in the 2005–2006 win-
ter was 860 and 545 mm at Ortal and Matityahu, respectively.
Experimental orchard
Plant materials were 15-year-old ‘Smoothie’ (a ‘Golden deli-
cious’ strain) apples (Malus ×domestica Borkh.) on the local
Hashabi rootstock at Ortal and 10-year-old ‘Golden delicious’
on M9 rootstock at Matityahu. Planting density was 4.5 × 2.5 m
and 3.5 × 1.5 m at Ortal and Matityahu, respectively with a
north–south row orientation in both orchards. To minimize
water percolation below the root zone, the irrigation system
consisted of three laterals of 1.6 l h–1 drippers spaced 0.5 m
apart, providing irrigation rates of 1.6 and 2.1 mm h–1 at Ortal
and Matityahu, respectively. The daily irrigation amounts
were delivered in 1-mm pulses.
Treatments
Two factors were examined, irrigation rate and crop load. The
trees were not irrigated during the cell division stage (up to the
beginning of June) and three irrigation rates were applied
thereafter, 1, 3 and 7 mm day–1. At the start of irrigation treat-
ments, the trees were hand thinned to three crop loads ~100,
~300 fruit per tree and unthinned control at Ortal and ~50,
~100 fruit per tree and unthinned control at Matityahu.
The experimental design was a split plot with irrigation as
the main plot and crop load as the sub-plot. Each main plot
comprised six measurement trees (two for each crop load) that
were surrounded by border trees and rows. Treatments at each
orchard were replicated three times.
Measurements
Midday stem water potential was measured with a pressure
chamber (Ari-Mad, Kfar Charuv, Israel or PMS, Corvallis
OR) on shaded leaves from the inner part of the canopy that
were inserted (while intact) into a plastic bag covered by alu-
minum foil for 90 min before measurements were taken. Mea-
surements were made weekly in the medium crop load treat-
ments and every 2 weeks in the low and high (unthinned) crop
loads. Six leaves were measured for each irrigation × crop load
combination. Additional midday stem water potential mea-
surements were made on July 31 at Ortal on six trees of each ir-
rigation × crop load combination (total of 54 trees). Two leaves
were measured on each tree. Two pressure chambers were
used simultaneously to shorten the measurement period. Mea-
surements started at noon and were completed within 90 min.
Harvest
The fruits were picked on September 6, 2006 at Ortal and on
September 13, 2006 at Matityahu. The fruit from each tree was
picked separately and fruit size distribution was determined
with a commercial sorting machine (Greefa, Tricht, Nether-
lands).
Results
Irrigation coefficients varied among treatments (Figure 1).
1256 NAOR, NASCHITZ, PERES AND GAL
TREE PHYSIOLOGY VOLUME 28, 2008
Figure 1. Weekly means of daily irrigation rates (fraction of evapo-
transpiration) at Ortal (filled symbols) and Matityahu (open symbols)
in 2006 in the three irrigation regimes: 1 mm day–1 (,); 3 mm
day–1 (,); and 7 mm day–1 (,).
by guest on May 10, 2011treephys.oxfordjournals.orgDownloaded from
Mean coefficients were 0.15, 0.43 and 1.0 in the 1, 3 and 7 mm
day–1 treatments, respectively, at Ortal and 0.15, 0.45 and 0.98
in the 1, 3 and 7 mm day–1 treatments, respectively, at Mati-
tyahu. Cumulative irrigation rates up to harvest were similar at
both orchards, with 101, 285 and 665 mm applied in the 1, 3
and 7 mm day–1 treatments, respectively, at Ortal and the cor-
responding values at Matityahu were 80, 292 and 661 mm.
At both orchards, midday stem water potential decreased
with decreasing irrigation rate (Figure 2). Midday stem water
potential in trees at Ortal decreased with increasing crop load
in the 1 mm day–1 treatment, decreased slightly with crop load
in the 3 mm day–1 treatment and was unaffected by crop load
in the 7 mm day–1 treatment (Figure 3). In contrast, midday
stem water potential in trees at Matityahu decreased with in-
creasing crop load at all irrigation rates, with the extent of the
decrease lessening with increasing irrigation rate (Figure 3).
Fruit number per hectare was higher at Matityahu than at
Ortal (Table 1). In each orchard, fruit number per hectare was
similar in the three irrigation treatments in trees carrying low
and medium crop loads (thinned), whereas crop load varied
with irrigation treatment in the control (unthinned) trees. Total
crop yield increased with increasing irrigation rate and with
increasing crop load in both orchards (Table 1), with the
higher crop yields at Matityahu than at Ortal reflecting the
higher fruit number per hectare. In both orchards, mean fruit
mass decreased with decreasing irrigation rate and with in-
creasing crop load (Table 2). In general, trees at Ortal had
higher fruit mass than trees at Matityahu, except for trees in the
medium crop load × 1 mm day–1 irrigation treatment which
had lower fruit mass. Fruit mass of trees in the high crop load ×
3mmday–1 irrigation treatment was much lower at Matityahu
than at Ortal (Table 2).
Fruit size distribution shifted to smaller fruits with increas-
ing crop load in the 1 mm day–1 treatment, and the shift was
more pronounced at Matityahu than at Ortal (Figure 4, Ta-
ble 2). In the higher irrigation treatments, fruit size distribution
was similar in the low and medium crop loads and was shifted
to smaller fruits only in trees bearing a high crop load. Total
crop yield at Ortal and Matityahu responded similarly to crop
load (Figure 5, Table 1) except for two cases. First, trees at
Matityahu bearing a high crop load in the 3 mm day–1 treat-
ment had similar crop yield as trees at Ortal despite the large
difference in crop loads (Table 1). Second, trees at Ortal bear-
ing a medium crop load in the 1 mm day–1 treatment had lower
crop yield than trees at Matityahu despite their similar crop
loads (Table 1).
Mean fruit mass was highly correlated with midday stem
water potential in midsummer (Figure 6). Similar correlations
were apparent at both orchards with trees bearing low and me-
dium crop loads having similar responses, whereas the un-
thinned trees bearing a high crop load had lower mean fruit
TREE PHYSIOLOGY ONLINE at http://heronpublishing.com
APPLE RESPONSE TO TREE WATER STATUS AND CROP LOAD 1257
Figure 2. Effects of irrigation rate and crop load on midday stem water
potentials in Malus domestica trees at Ortal and Matityahu in 2006.
The irrigation regimes were: 1 mm day –1(,); 3 mm day –1(,);
and 7 mm day –1 (,). The crop loads were: low, medium and high
denoted by open symbols connected by lines and filled symbols, re-
spectively. Bars denote standard error.
Figure 3. Effects of irrigation rate and crop load on mean midday stem
water potentials in Malus domestica trees up to harvest at Ortal (black
bars) and Matityahu (gray bars). Numbers on the x-axis are irrigation
rates (mm day–1) and letters denote crop loads (low, L; medium, M;
and high, H). Bars denote standard error.
by guest on May 10, 2011treephys.oxfordjournals.orgDownloaded from
mass for each water potential value (Figure 6). The difference
in fruit mass between trees bearing a high crop load and trees
bearing the lower crop loads increased with increasing midday
stem water potential. At both orchards, the relative yield of
fruit larger than 70 mm in diameter was highly correlated with
midsummer midday stem water potential (Figure 7). Relative
yields of trees bearing the two lower crop loads responded
similarly to midday stem water potential, whereas the un-
thinned trees with the higher crop loads had lower relative
yields at each stem water potential (Figure 7).
Discussion
It is well known that fruiting deciduous orchards have higher
stomatal conductance, and thus higher transpiration rates, than
de-fruited trees (Hansen 1971, Fuji and Kennedy 1985,
DeJong 1986, Erf and Proctor 1989, Gucci et al. 1991, Wibbe
and Blanke 1995, Giuliani et al. 1997, Wünsche et al. 2000,
Marsal et al. 2005). As confirmed in Figures 2 and 3, lower
midday stem water potentials are expected at high crop loads
(Berman and DeJong 1996, Naor et al. 1997) because of the
higher transpiration and the high resistance to water flow from
the soil to the trunk xylem.
In our study, midday stemwater potential decreased with in-
creasing crop load but the response varied between orchards.
In both orchards, crop load affected midday stem water poten-
tial in the 1 mm day–1 treatment; however, at Ortal, unlike
Matityahu, no effect was apparent in trees in the 3 and 7 mm
day–1 treatments (Figure 3). In another study in the Golan
Heights, Israel where the crop load was similar to that at
Matityahu, midday stem water potential responded to crop
load at an irrigation rate of ~3 mm day –1 (Naor et al. 1997).
Higher hydraulic resistance in the M9 rootstock (Cohen et al.
2007) and the higher crop load at Matityahu may explain
the effect of crop load on midday stem water potential at
Matityahu in the 3 and 7 mm day–1 treatments. Palmer et al.
(1997) and Wünsche et al. (2000) reported an upper limit in
crop load beyond which no further increase in stomatal con-
ductance occurred in response to increased crop load, contrast-
ing with our observed stem water potential response to in-
creasing crop loads.
Midday stem water potential may decrease as a result of soil
water depletion in response to long-term higher transpiration
rates in heavily cropping trees. Under such conditions, in-
creasing crop load is expected to result in a greater decrease in
midday stem water potentials at low irrigation rates than at
high irrigation rates. The difference in midday stem water po-
tentials between the high and low crop loads at Matityahu was
0.59, –0.52 and – 0.2 MPa in the 1, 3 and 7 mm day –1 irriga-
tion treatments, indicating that water availability plays a role
in the response of midday stem water potential to crop load.
The difference in midday stem water potential between trees
bearing high and low crop loads at Ortal was –0.48, –0.09 and
0.01 in the 1, 3 and 7 mm day–1 irrigation treatments. Similar
responses of stem water potential to crop load were apparent in
both orchards in the 1 mm day–1 treatment; however, unlike
the Matityahu trees, the Ortal trees showed practically no re-
sponse at the two highest irrigation treatments. It may be that
differences in water application efficiency between the or-
chards and therefore differences in water availability ac-
counted for the different responses of midday stem water po-
tential to crop load.
The low crop load × high irrigation rate treatment (~20 Mg
ha–1) represents non-limiting conditions where potential fruit
size is probably achieved. Fruit mass of trees in the high crop
1258 NAOR, NASCHITZ, PERES AND GAL
TREE PHYSIOLOGY VOLUME 28, 2008
Table 2. Mean fruit mass (g; ± standard error) of Malus domestica
trees at Ortal and Matityahu in 2006 in response to irrigation (1, 3 and
7 mm day–1) and fruit thinning treatments.
Irrigation up to Low Medium High
harvest (mm)
Ortal
101 116.7 (7.9) 67.4 (9.5) 51.5 (4.6)
285 171.3 (5.7) 161.8 (4.7) 98.6 (2.6)
665 204.6 (4.5) 197.3 (2.6) 122.5 (1.6)
Matityahu
80 116.2 (5.1) 101.3 (6.8) 37.8 (1.1)
292 152.1 (8.6) 132.2 (5.2) 59.4 (3.1)
661 188.8 (7.2) 169.3 (3.2) 115.8 (3.5)
Table 1. Mean (± standard error) crop load and total crop yield of Malus domestica trees at Ortal and Matityahu in 2006 in response to irrigation
(1, 3 and 7 mm day–1) and fruit thinning treatments.
Irrigation up to Fruit per hectare/ 1000 Total crop yield (Mg ha–1)
harvest (mm) Low Medium High Low Medium High
Ortal
101 87.3 (7.4) 275.5 (32.3) 913.5 (59.2) 10.1 (0.9) 17.4 (0.9) 43.0 (3.0)
285 98.8 (3.2) 276.7 (5.7) 1075 (52.8) 16.8 (0.18) 44.8 (1.7) 106.3 (6.8)
665 84.7 (1.6) 255.1 (4.5) 1177 (53.7) 17.3 (0.42) 50.3 (1.5) 144.4 (7.2)
Matityahu
80 114.3 (7.7) 282.9 (11.0) 1295 (120.4) 13.1 (0.7) 28.4 (1.7) 49.2 (5.4)
292 111.1 (7.4) 304.8 (12.7) 1630 (79.6) 16.8 (1.3) 40.3 (2.5) 96.6 (6.7)
661 117.1 (7.7) 310.5 (18.4) 1224 (121) 22.1 (1.8) 52.5 (3.0) 140.1 (10.9)
by guest on May 10, 2011treephys.oxfordjournals.orgDownloaded from
load × low irrigation rate treatment was 38 and 52 g at harvest
at Matityahu and Ortal, respectively, and it was ~22% of the
potential fruit size, indicating a severe limitation of assimilate
TREE PHYSIOLOGY ONLINE at http://heronpublishing.com
APPLE RESPONSE TO TREE WATER STATUS AND CROP LOAD 1259
Figure 4. Effects of irrigation rate and
crop load (low, ; medium, ; and high,
) on fruit size distribution in Malus
domestica trees in 2006 at Ortal and
Matityahu. Bars denote standard error.
Figure 5. Effects of crop load on total crop yield of Malus domestica
trees in 2006 at Ortal (filed symbols) and Matityahu (open symbols)
subjected to three daily irrigation regimes (1 mm day–1 (,); 3 mm
day–1 (,); and 7 mm day–1 (,)) and three crop loads. Each
value represents a single tree.
Figure 6. Effects of midsummer midday stem water potential of Malus
domestica trees at Ortal (July 31, 2006; open symbols) and Matityahu
(August 15, 2006; filled symbols) bearing one of the three crop loads
(Low, L; medium, M; and high, H ) on mean fruit mass at harvest.
Symbols: L and M (,); and H (,).
by guest on May 10, 2011treephys.oxfordjournals.orgDownloaded from
availability to the crop. In this treatment, midday stem water
potentials were lower than –2.5 MPa, a water status where
stomata are expected to be closed (Naor 1998). Both crop load
and tree water status determine fruit size (Table 2), but neither
alone is able to predict fruit size (Figures 5 and 6). In contrast,
starch content in the perennial stem predicted mean fruit mass,
independently of whether source capacity (irrigation rate) or
sink capacity (crop load) was manipulated (Naschitz et al., un-
published observations). These findings may indicate that as-
similate availability, and not changes in fruit turgor potential
with irrigation or any hormonal effect associated with varia-
tions in crop load, is the predominant mechanism through
which irrigation and fruit thinning affect fruit size.
In general, total crop yield in both Ortal and Matityahu trees
responded similarly to crop load (Figure 4, Tables 1 and 2)
with two exceptions: similar crop yields in the Ortal and
Matityahu trees in the high crop load × 3 mm day–1 treatment
despite large difference in crop loads (Figure 4); and higher
crop yield in Matityahu trees than in Ortal trees at a similar
crop load (Figure 4, ~250,000 fruit ha –1) in the 1 mm day–1 ir-
rigation treatment (Figure 4, Tables 1 and 2). These exceptions
might be explained by differences in tree water status—the
fruit mass of Ortal trees bearing a high crop load in the 3 mm
day–1 treatment was almost double that of the fruit mass of
Matityahu trees—given that midday stem water potentials
were –1.44 and –2.16 MPa in the Ortal and Matityahu trees, re-
spectively. Fruit mass of trees in medium crop load × 1 mm
day–1 treatment at Matityahu was 25% more than that at Ortal,
and midday stem water potentials were –2.71 and –2.49 MPa
in the Ortal and Matityahu trees, respectively.
Thus, the discrepancies in the response of crop yield to crop
load between orchards can be explained by tree water status,
and this is reflected in the high correlations between midday
stem water potential and mean fruit mass within each crop
load (Figure 6) and with relative yield of fruit > 70 mm in di-
ameter (Figure 7). These results indicate the importance of
tree water status in explaining the variability in crop loads and
the importance of water availability, and thus provide a means
for adjusting tree water status in orchards with variable crop
loads and water availability. These findings apply to crop loads
in the low and medium ranges (Figure 6) which cover the
common commercial apple crop yields.
Similar responses of fruit size to midday stem water poten-
tial at Ortal and Matityahu (Figures 6 and 7) were apparent de-
spite differences in rootstock, tree size, tree age, topographical
situation and row spacing between orchards, suggesting that
thresholds of midday stem water potential are transferable
among orchards at least on a within-region basis. We conclude
that transferability of thresholds of midday stem water poten-
tial is justified once the relationships between stem water po-
tential and assimilation rate are similar, because the availabil-
ity of assimilates is the predominant mechanism through
which fruit size is affected by both irrigation and crop load
(Naschitz et al., unpublished observations).
What may limit the transferability of thresholds? The rela-
tionships between water potential and stomatal conductance
change during the season (Lakso 1979, Moller et al. 2007),
probably through osmotic adjustment. Climatic conditions
may affect the degree of osmotic adjustment and therefore the
relationships between water potential and assimilation rate.
Different air temperatures and therefore respiration rates or
different solar irradiances (clouds) or day lengths (latitudes)
may affect net assimilation rate at similar tree water status.
The maximum midday stem water potential that we mea-
sured (~0.9 MPa) is close to the maximal expected value con-
sidering the evaporative demand in the region (McCutchan
and Shackel 1992), and may indicate that any deviation from
minimum water stress may decrease fruit size (Figures 6
and 7). In addition, the demand for assimilates at high crop
loads is beyond the maximum assimilate production rate under
conditions of minimum water stress and therefore potential
fruit size is not reached even at high irrigation rates. Our data
suggest that when growers are forced to use deficit irrigation
they could apply fruit thinning to minimize the reduction in
fruit size (Figures 6 and 7, Tables 1 and 2). The response
curves of mean fruit mass (Figure 6) and relative yield of
> 70 mm in diameter (Figure 7) to midday stem water poten-
tial provide growers with information on the expected com-
mercial crop yield for any given water status. It should be
noted, however, that these responses are not universal and may
change from one year to another because of differences in po-
tential fruit size resulting from variable temperature regimes
during the cell division stage (Warrington et al. 1999).
References
Allen, R.G., L.S. Pereira, D. Raes and M. Smith. 1998. Crop
evapotranspiration—guidelines for computing crop water require-
ments. FAO Irrig. Drain. Paper 56, United Nations Food and Agri-
culture Organization, Rome, 301 p.
1260 NAOR, NASCHITZ, PERES AND GAL
TREE PHYSIOLOGY VOLUME 28, 2008
Figure 7. Effects of midsummer midday stem water potential of
Malus domestica trees at Ortal (July 31, 2006; open symbols) and
Matityahu (August 15, 2006; filled symbols) bearing one of three
crop loads (Low, L; medium, M; and high, H) on relative yield of fruit
> 70 mm in diameter (% of total crop yield). Symbols: L and M (,
); and H (,).
by guest on May 10, 2011treephys.oxfordjournals.orgDownloaded from
Berman, M.E. and T.M. DeJong. 1996. Water stress and crop load ef-
fects on fruit fresh and dry mass in peach (Prunus persica). Tree
Physiol. 16:859– 864.
Cohen, S., A. Naor, J. Bennink, A. Grava and M. Tyree. 2007. Hy-
draulic resistance components of mature apple trees on rootstocks
of different vigours. J. Exp. Bot. 58:4213– 4224.
DeJong, T.M. 1986. Effects of reproductive and vegetative sink activ-
ity on leaf conductance and water potential of Prunus persica L.
Batsch. Sci. Hortic. 29:131–137.
Erf, J.A. and T.A. Proctor. 1989. Growth, mineral nutrition, and leaf
water status of mature apple trees subjected to various crop loads
and soil water conditions. J. Am. Soc. Hortic. Sci. 114:191–196.
Fereres, E. and D.A. Goldhamer. 2003. Suitability of stem diameter
variations and water potential as indicators for irrigation schedul-
ing of almond trees. J. Hortic. Sci. Biotechnol. 78:139–144.
Fuji, J.A. and R.A. Kennedy. 1985. Seasonal changes in photo-
synthetic rate in apple trees. Plant Physiol. 78:519– 524.
Giuliani, R., L. Coreli-Grappadeli and E. Magnanini. 1997. Effects of
crop load on apple photosynthetic responses and yield. Acta
Hortic. 451:303– 311.
Giuliani, R., E. Magnanini and L. Corelli-Grapadelli. 1998. Whole
canopy gas exchange and light interception of three peach training
systems. Acta Hortic. 465:309– 317.
Goldhamer, D.A. and E. Fereres. 2001. Irrigation scheduling proto-
cols using continuously recorded trunk diameter measurements.
Irrig. Sci. 20:115– 125.
Goldhamer, D.A., E. Fereres, M. Mata, J. Girona and M. Cohen.
1999. Sensitivity of continuous and discrete plant and soil water
status monitoring in peach trees subjected to deficit irrigation.
J. Am. Soc. Hortic. Sci. 124:437–444.
Goldhamer, D.A., E. Fereres, M. Cohen, J. Girona and M. Mata.
2000. Comparison of continuous and discrete plant-based monitor-
ing for detecting tree water deficits and barriers to grower adoption
for irrigation management. Acta Hortic. 537:431–445.
Gucci, R., C. Xiloyannis and J.A. Flore. 1991. Gas exchange parame-
ters, water relations and carbohydrate partitioning in leaves of
field-grown Prunus domestica following fruit removal. Physiol.
Plant. 83:497– 505.
Hansen, P. 1971. The effect of fruiting upon transpiration rate and
stomatal opening in apple leaves. Physiol. Plant. 25:181–183.
Intrigliolo, D.S. and J.R. Castel. 2004. Continuous measurement of
plant and soil water status for irrigation scheduling in plum. Irrig.
Sci. 23:93–102.
Lakso, A.N. 1979. Seasonal changes in stomatal response to leaf wa-
ter potential in apple. J. Am. Soc. Hortic. Sci. 104:58–60.
Marsal, J., G. Lopez, J. Girona, B. Basile and T.M. DeJong. 2005.
Heterogenity in fruit distribution and stem water potential varia-
tions in peach trees under different irrigation conditions. J. Hortic.
Sci. Biotechnol. 80:82– 86.
McCutchan, H. and K.A. Shackel. 1992. Stem-water potential as a
sensitive indicator of water stress in prune trees (Prunus domesti-
ca L. cv French). J. Am. Soc. Hortic. Sci. 117:607 611.
Möller, M., V. Alchanatis, Y. Cohen, M. Meron, J. Tsipris, A. Naor,
V. Ostrovsky, M Sprintsin and S. Cohen. 2007. Use of thermal and
visible imagery for estimating crop water status of irrigated grape-
vine. J. Exp. Bot. 58:827–838.
Naor, A. 1998. Relationships between leaf and stem water potentials
and stomatal conductance in three field-grown woody species.
J. Hortic. Sci. Biotechnol. 73:431–436.
Naor, A. 2006. Irrigation scheduling and evaluation of tree water sta-
tus in deciduous orchards. Hortic. Rev. 32:111–166.
Naor, A. and S. Cohen. 2003. The sensitivity and variability of maxi-
mum trunk shrinkage, midday stem water potential, and transpira-
tion rate in response to withholding of irrigation in field-grown
apple trees. Hortscience 38:547– 551.
Naor, A., I. Klein and I. Doron. 1995. Stem water potential and apple
fruit size. J. Am. Soc. Hortic. Sci. 120:577–582.
Naor, A., I. Klein, I. Doron, Y. Gal, Z. Ben-David and B. Bravdo.
1997. The effect of irrigation and crop load on stem water potential
and apple fruit size. J. Hortic. Sci. 72:765– 771.
Naor, A., I. Klein, H. Hupert, Y. Grinblat and M. Peres. 1999. Irriga-
tion and crop load interactions in relation to nectarine yield, fruit
size distribution and water potentials. J. Am. Soc. Hortic. Sci. 124:
189–193.
Naor, A., M. Peres, Y. Greenblat, I. Doron, Y. Gal and R.A. Stern.
2000. Irrigation and crop load interactions in relation to pear yield
and fruit-size distribution. J. Hortic. Sci. Biotechnol. 75:555 –561.
Naor, A., Y. Gal and M. Peres. 2006. Inherent variability of a few wa-
ter stress indicators in apple, nectarine and pear orchards, and the
validity of a commercial leaf-selection procedure for water poten-
tial measurements. Irrig. Sci. 24:129–135.
Palmer, J.W. 1993. Recent developments on light and fruit tree cano-
pies. Acta Hortic. 349:99–109.
Palmer, J.W., R. Giuliani and H.M. Adams. 1997. Effect of crop load
on fruiting and leaf photosynthesis of ‘Braeburn’/M.26 apple trees.
Tree Physiol. 17:741–746.
Robinson, T. and A.N. Lakso. 1991. Bases of yieldand production ef-
ficiency in apple orchard systems. J. Am. Soc. Hortic. Sci. 116:
188–194.
Warrington, I.J., T.A. Fulton, E.A. Halligan and H.N. de Silva. 1999.
Apple fruit growth and maturity are affected by early season tem-
peratures. J. Am. Hortic. Sci. 124:468–477.
Wibbe, M.L. and M.M. Blanke. 1995. Effects of defruiting on
source– sink relationship, carbon budget, leaf carbohydrate content
and water use efficiency of apple trees. Physiol. Plant. 94:
529– 533.
Wünsche, J.N., A.N. Lakso and T. Robinson. 1995. Comparison of
four methods for estimating total light interception by apple trees of
varying forms. HortScience 30:272– 276.
Wünsche, J.N., J.W. Palmer and D.H. Greer. 2000. Effect of crop load
on fruiting and gas exchange characteristics of ‘Braeburn’/M.26
apple trees at full canopy. J. Am. Soc. Hortic. Sci. 125:93–99.
TREE PHYSIOLOGY ONLINE at http://heronpublishing.com
APPLE RESPONSE TO TREE WATER STATUS AND CROP LOAD 1261
by guest on May 10, 2011treephys.oxfordjournals.orgDownloaded from
... Reference evapotranspiration values for a grass (ET 0 ) or alfalfa-like (ET r ) crop are commonly reported from weather stations and are then used in conjunction with empirically derived crop coefficients to estimate specific crop water losses. While this methodology is effective in many annual crops, results in orchard crops have been mixed (Naor et al., 2008;Dzikiti et al., 2018). The height of orchard trees and low planting densities compared to those of reference crops have been cited as reasons for divergence of orchard ET from modeled ET with modifying crop coefficients (Jarvis, 1984). ...
... Correlations of SFI to Y Stem were stronger in the early season while late season correlations decreased. Declining correlations later in the season could be a function of stomatal regulation, however fruiting deciduous orchards have been shown to have higher stomatal conductance, transpiration and carbon assimilation than de-fruited trees of the same age (Naor et al., 2008). Similar to depressed correlations of MDS, SFI correlations to Y Stem most likely declined due to limited soil water availability combined with solute loading, leaf age and crop load. ...
Article
Full-text available
Introduction: Automated plant-based measurements of water stress have the potential to advance precision irrigation in orchard crops. Previous studies have shown correlations between sap flow, line variable differential transform (LVDT) dendrometers and fruit tree drought response. Here we report season-long automated measurement of maximum daily change in trunk diameter using band dendrometers and heated needles to measure a simplified sap flow index (SFI). Methods: Measurements were made on two apple cultivars that were stressed at 7 to 12 day intervals by withholding irrigation until the average stem water potential (Y Stem) dropped below-1.5 MPa, after which irrigation was restored and the drought cycle repeated. Results: Dendrometer measurements of maximum daily trunk shrinkage (MDS) were highly correlated (r² = 0.85) with pressure chamber measurements of stem water potential. The SFI measurements were less correlated with stem water potential but were highly correlated with evaporative demand (r² = 0.82) as determined by the Penman-Monteith equation (ET r). Discussion: The high correlation of SFI to ET r suggests that high-density orchards resemble a continuous surface, unlike orchards with widely spaced trees. The correlations of MDS and SFI to Y Stem were higher during the early season than the late season growth. Band dendrometers are less labor intensive to install than LVDT dendrometers and are non-invasive so are well suited to commercialization.
... In horticultural crops, tree water use is also strongly affected by crop load, with higher yield being associated with greater water demands (Wünsche et al. 2000, Naor et al. 2008. Therefore, trees with higher crop loads typically have lower water potential values (Naor et al. 2008), although leaf water potential was not affected by crop load in adult lemon trees (Ortuño et al. 2009). ...
... In horticultural crops, tree water use is also strongly affected by crop load, with higher yield being associated with greater water demands (Wünsche et al. 2000, Naor et al. 2008. Therefore, trees with higher crop loads typically have lower water potential values (Naor et al. 2008), although leaf water potential was not affected by crop load in adult lemon trees (Ortuño et al. 2009). The explanation for the lower water potential values in heavily cropping trees is sought in their higher leaf gas exchange rates because ample fruits cause high demands for assimilates (Wünsche et al. 2000). ...
... Fruit yield per tree in our study was improved by irrigation and related to the volume of water received by the trees [30]. The improvement in fruit yield was due to larger fruit size, since fruit number was essentially constant between treatments. ...
... The improvement in fruit yield was due to larger fruit size, since fruit number was essentially constant between treatments. Naor et al. [30] reported that fruit size responds to any deviation from minimum water stress. Supporting this conclusion, our results showed that small differences in Ψ trunk and in the amount of water received between fully irrigated trees and the rainfed treatment resulted in significant differences in fruit diameter and weight. ...
Article
Full-text available
The weather variations around the world are already having a profound impact on agricultural production. This impacts apple production and the quality of the product. Through agricultural precision, growers attempt to optimize both yield and fruit size and quality. Two experiments were conducted using field-grown “Gala” apple trees in Geneva, NY, USA, in 2021 and 2022. Mature apple trees (Malus × domestica Borkh. cv. Ultima “Gala”) grafted onto G.11 rootstock planted in 2015 were used for the experiment. Our goal was to establish a relationship between stem water potential (Ψtrunk), which was continuously measured using microtensiometers, and the growth rate of apple fruits, measured continuously using dendrometers throughout the growing season. The second objective was to develop thresholds for Ψtrunk to determine when to irrigate apple trees. The economic impacts of different irrigation regimes were evaluated. Three different water regimes were compared (full irrigation, rainfed and rain exclusion to induce water stress). Trees subjected the rain-exclusion treatment were not irrigated during the whole season, except in the spring (April and May; 126 mm in 2021 and 100 mm in 2022); that is, these trees did not receive water during June, July, August and half of September. Trees subjected to the rainfed treatment received only rainwater (515 mm in 2021 and 382 mm in 2022). The fully irrigated trees received rain but were also irrigated by drip irrigation (515 mm in 2021 and 565 mm in 2022). Moreover, all trees received the same amount of water out of season in autumn and winter (245 mm in 2021 and 283 mm in 2022). The microtensiometer sensors detected differences in Ψtrunk among our treatments over the entire growing season. In both years, experimental trees with the same trunk cross-section area (TCSA) were selected (23–25 cm−2 TCSA), and crop load was adjusted to 7 fruits·cm−2 TCSA in 2021 and 8.5 fruits·cm−2 TCSA in 2022. However, the irrigated trees showed the highest fruit growth rates and final fruit weight (157 g and 70 mm), followed by the rainfed only treatment (132 g and 66 mm), while the rain-exclusion treatment had the lowest fruit growth rate and final fruit size (107 g and 61 mm). The hourly fruit shrinking and swelling rate (mm·h−1) measured with dendrometers and the hourly Ψtrunk (bar) measured with microtensiometers were correlated. We developed a logistic model to correlate Ψtrunk and fruit growth rate (g·h−1), which suggested a critical value of −9.7 bars for Ψtrunk, above which there were no negative effects on fruit growth rate due to water stress in the relatively humid conditions of New York State. A support vector machine model and a multiple regression model were developed to predict daytime hourly Ψtrunk with radiation and VPD as input variables. Yield and fruit size were converted to crop value, which showed that managing water stress with irrigation during dry periods improved crop value in the humid climate of New York State.
... The overall percentage indicated that the farmers in the study area irrigate at least once a week. As proper irrigation enhances vegetative growth [32] , fruit quality [33,34] and frequent irrigation in the study locations could enhance apple production in the future. ...
Article
Full-text available
Apple farming is a new production venture across the North Shewa Zone. Its production, harvest, postharvest handling , and marketing status are not well known. This study was conducted to assess the above-lined situations across the district. Four representative locations, Asabahir, Tsigereda, Tengego, and Godnamamas were selected based on their apple production status. Then, a total of 88 respondents were randomly selected and interviewed by a structured questionnaire. The data were analyzed by descriptive statistics of percentage, standard deviation, and chi-square tests. A larger percentage of farmers are male (82.9%), in their active production age (41.7%), and produce apples in their backyard (85.25%). The agronomic management of fertilization, pruning, training, and plant spacing deviate from the recommended practices of apple farming. Whereas varietal distribution, irrigation, and post-harvest treatments are better practiced. Loss of fruits by fruit drops and discrimination on the market due to small fruit size are serious problems across the locations. Regarding apple farming, the farmers think of it as a productive venture and got a better price per kg and single fruit sale. They sell mainly in local collectors (60.2%) and nearby cities. As for institutional support, the farmers got apple seedlings, training, and capacity buildings by Agriculture Offices and NGOs, even if the farmers are still in higher need of better support. Therefore, it can be concluded that if not outwaited by poor tree management, destructive product transportation, and higher loss of fruits from trees and in the market, the attitude of the farmers can be capitalized in better production of apples.
... The reduction in fruit size from our rain exclusion treatment was expected. Naor et al. (2008) reported that any deviation from minimum water stress may decrease fruit size. However, the reduction in fruit red color our observed could be due to the water stress or could be an artifact of the rain exclusion plastic covered greenhouse which was over the trees whenever rainy periods occurred. ...
Article
The number of apples per tree can be controlled by precision crop load management but final fruit size is also affected by plant water status. The first objective of this experiment was to study apple fruit growth dynamics in two irrigation treatments. The second objective was to understand apple fruit growth dynamics and relate it to water stress for maximizing fruit size and crop value in ‘Gala’ apple. During the 2021 growing season we continuously measured stem water potential using micro-tensiometers (MT; FloraPulse sensors) embedded in the trunks of trees. We also measured fruit diameter each week and related fruit growth rate and stem water potential. Two different water regimes were compared (fully irrigated and rain exclusion to induce water stress). All treatments had similar fruit numbers per tree. Our results suggest stem water potential was effectively measured in apple trees with the MT. Trees subjected to rain exclusion showed lower stem water potential values (greater stress) compared to fully irrigated trees. The fully irrigated trees had the highest fruit growth rate per day (mm diameter increase day‑1) which declined over the course of the season. The rain exclusion trees had lower fruit growth rate day‑1 throughout the season and lower final fruit weight and less fruit color when compared to fully irrigated tree. This study was our first attempt to relate apple fruit growth dynamics and water stress to manage irrigation for maximize fruit size, color and crop value in apple orchards. Our future work will utilize fruit growth dendrometers to relate daily fruit growth increment with stem water potential to fully automate irrigation management.
... For these reasons it is important to understand the consequences of water stress on fruit crops and to develop tools to relieve the effects of drought on the yield and quality of harvested fruit (Fereres and Evans, 2006;Fereres and Soriano, 2007;Lopez et al., 2012;Blanco et al., 2019;Paudel et al., 2019). Decrease in the fruit yield caused by water stress is mainly due to reduction in fruit size and weight at the harvest time and/or due to premature fruit fall before the harvest time (Naor et al., 2008, in Lopez et al., 2012. Water stress can also a E-mail: suran@vsuo.cz ...
... While influenced by growing conditions and nutrient availability, apple size is mainly determined by genetic factors [254][255][256][257][258]. Apart from marketability and consumer preference, apple size also correlates with internal quality parameters [61,62]. ...
Article
Full-text available
Spectroscopic methods deliver a valuable non-destructive analytical tool that provides simultaneous qualitative and quantitative characterization of various samples. Apples belong to the world's most consumed crops and with the current challenges of climate change and human impacts on the environment, maintaining high-quality apple production has become critical. This review comprehensively analyzes the application of spectroscopy in near-infrared (NIR) and visible (Vis) regions, which not only show particular potential in evaluating the quality parameters of apples but also in optimizing their production and supply routines. This includes the assessment of the external and internal characteristics such as color, size, shape, surface defects, soluble solids content (SSC), total titratable acidity (TA), firmness, starch pattern index (SPI), total dry matter concentration (DM), and nutritional value. The review also summarizes various techniques and approaches used in Vis/NIR studies of apples, such as authenticity, origin, identification, adulteration, and quality control. Optical sensors and associated methods offer a wide suite of solutions readily addressing the main needs of the industry in practical routines as well, e.g., efficient sorting and grading of apples based on sweetness and other quality parameters, facilitating quality control throughout the production and supply chain. This review also evaluates ongoing development trends in the application of handheld and portable instruments operating in the Vis/NIR and NIR spectral regions for apple quality control. The use of these technologies can enhance apple crop quality, maintain competitiveness, and meet the demands of consumers, making them a crucial topic in the apple industry. The focal point of this review is placed on the literature published in the last five years, with the exceptions of seminal works that have played a critical role in shaping the field or representative studies that highlight the progress made in specific areas.
... This result is in line with the finding of [14] who reported that at the young apple orchard plantations, vegetables like cole crops, potato and tomato are grown to supplement the income. Apple has high water need, about 800mm per year [10] and scheduled application is as critical for fruit set as for fruit development. Watering boosts flowering and fruiting and minimizes fruit drops translating to higher productivity. ...
Article
Full-text available
Apple (Malus domestica) is one of the most important temperate fruits grown in the highland climates of Ethiopia by virtue of high altitude. Chencha district in the Southern region hosted the first apple trees introduced to Ethiopia and grown for a long time; however, the achievements from apple production so far remained minimal. There is inadequate information on productivity and variety identification. Therefore, a survey on productivity and variety identification of introduced apple trees in Chencha district of Gamo Gofa Zone was carried out in 2013/14 cropping season. The study was aimed to assess status of apple production and productivity, investigate apple tree management practices carried out by the growers and identify apple varieties and rootstocks. A total of 181 randomly selected respondents were interviewed using semi-structured questionnaire from nine administrative units (kebeles). Results of the survey showed that farmers lacked knowledge on importance of the crop and did not invest in good crop management as it demands revealing that the fruit tree was neglected by research and development. For most farmers, land holding size was estimated to be below 0.25 hectare. Due to very low level of the fruit tree management practices farmers applied, fruit yield was found to be in the range of 4.2-8.3 tons per hectare as comparison to 40-60 tons per hectare achievable in good growth conditions somewhere else in the world. A total of sixty apple varieties were identified in the study area, out of which Bonded Red (BR), Crispin, Grany smith, Jonagored and Red delicious were extensively cultivated. MM106 is reported as a good root stock in the study area. Therefore, applied research on agronomic packages for improving productivity, identification of best varieties for Chencha and similar agro-ecology should be promoted through field trials; communication on current knowledge and sharing of information on interventions in production of apple is recommended.
... These covariates, along with how pollination was measured in studies, were used as moderating variables in our models. We compared our initial model without covariates to a model excluding fruit mass, since it is known this pollination metric is affected by other factors such as water and nutrient availability and competition (Inglese et al., 2010;Naor et al., 2008;Pato & Obeso, 2012). Additionally, we ran the same model with only studies that measured SVPD because this metric accounted for over half of the effect sizes, and, unlike fruit mass, seed set, seed weight, and yield, is not affected as much by environmental conditions. ...
Article
Full-text available
Understanding relationships between organisms and the ecosystem services they provide is crucial for predicting the impacts of continued biodiversity changes. Functional traits of organisms can affect ecosystem properties and are thus increasingly used to predict long‐term ecosystem functioning. Bees are ideal taxa for using functional approaches given their role in pollination for many plant species and wide diversity of traits. Although distributions of bee functional traits are being documented in the literature, there is a clear lack of understanding of how they relate to ecosystem functioning (i.e. pollination). To address this knowledge gap, we conducted a meta‐regression analysis with the following objectives: (1) quantify the effects of bee functional traits on pollination and (2) assess sources of heterogeneity to identify variables that might explain variation across studies. Seventeen studies met our criteria for inclusion, yielding 45 individual effect sizes for six traits (body size, tongue length, diet breadth, nesting, parasitism, and sociality). Overall, bee functional traits had a significant effect on pollination; however, effect sizes were weak with high variability across studies. Sources of heterogeneity included the metrics used to quantify pollination, the number of bee genera analysed in a study, and whether traits were measured categorically or continuously. These results indicate a need for more research to improve understanding of trait–pollination relationships. For some bee traits, effects on pollination may be dependent on other factors like bee abundance, environmental context, and the plant species evaluated in studies.
Article
Full-text available
Mature fruiting and defruited ‘McIntosh’/M.26 apple ( Malus domestica Borkh.) trees were exposed to natural rainfall or to no rainfall with the use of under-canopy tent-like covers. With covers present, fruit diameter tended to be less and, on one occasion, soluble solids concentration and fruit firmness increased. Trunk growth was reduced more by fruit than by covers. Trunk growth of fruiting trees did not respond to covers, whereas trunk growth of defruited trees was reduced by covers. Fruit load and reduced soil water content did not affect terminal shoot length. In one experiment, specific leaf weight (SLW) was less for fruiting trees than for defruited trees. Fruiting increased foliar N, P, Ca, and Mg and decreased K concentration. On a leaf-area basis, K was again lower in cropping trees while other nutrients remained mostly unchanged. With tent covers, trees generally had less foliar N, P, and K based on either concentration or amount per unit of leaf area. Leaf water potential was lower for trees with fruit and tended to be lower for trees with tent covers. Leaf stomatal conductance was higher for fruiting trees than for defruited trees and higher for trees without tent covers than for trees with tent covers.
Article
Full-text available
The relationship between stomatal conductance and leaf water potential in field-grown apple trees ( Malus domestica Borkh.) was determined throughout one growing season. Between May and September the leaf water potential required to close stomates decreased (became more negative) by about 25 bars, indicating decreasing sensitivity of the stomates to leaf water stress. A good linear correlation was found between stomatal conductance and net photosynthesis in trees grown under a wide range of water stress conditions. In September net photosynthesis of excised leaves of field trees was not reduced to zero until leaf water potentials reached −50 to −60 bars. The results emphasize the importance of pre-conditioning and time of season in plant water relations studies.
Article
The sensitivity of water stress indicators to changing moisture availability, and their variability, determine the number of measurements that should be taken in order to represent properly plant water status in a certain orchard. In the present study we examined the sensitivity and variability of maximum daily trunk shrinkage, midday stem water potential, and daily transpiration rate in their responses to withholding irrigation from field-grown drip-irrigated `Golden delicious' apple trees in a commercial orchard. Irrigation was withheld from the stressed trees for 17 days starting in mid-July, and the control trees were irrigated daily at 100% of the “Class A” pan evaporation rate. The courses of daily transpiration rate, maximum trunk shrinkage, and midday stem water potential before and 10 days after the drying period were similar in the control and the stressed trees. Highly significant differences between the stressed and the control trees in their midday stem water potentials were apparent from the early stages of the stress period. Daily transpiration rate and maximum daily shrinkage were more variable than midday stem water potential, and differences between treatments became significant only after measurements were expressed relative to the initial values before irrigation was witheld. Differences between treatments (as percentages of the values obtained for the control trees) increased after irrigation stopped where these differences were greatest for maximum daily shrinkage, which reached 90%; moderate for stem water potential (60%); and least for daily transpiration rate, for which the differences remained below 20%. Our data show that the choice of a certain water stress indicator should be based on both the sensitivity to changing moisture availability and the degree of variability. Possible reasons for the different sensitivity to moisture availability and the different variability between the water stress indicators under study are discussed.
Article
Simultaneous measurements of stomatal conductance (g(s)), and leaf (ψ(leaf)) and stem (ψ(stem)) water potentials were conducted from 0900 hours to early afternoon on field-grown trees of apple, grapevine and nectarine which received different irrigation rates. The correlations of g(s) with ψ(stem) (r2 = 0.85, 0.85, 0,79) was significantly higher than those with ψ(leaf) (r2 = 0.51, 0.61, 0.37) for apple, grapevine and nectarine, respectively. The high correlation between g(s) and ψ(stcm) has been explained through a qualitative analysis of a water transport model which takes into account the control of g(s) by root signals (Tardieu and Davies, 1993). The model suggests that g(s), ψ(leaf), root water potential, root-signal intensity, and transpiration rate are linked in a feedback mechanism which leads to the high correlation of g(s) and ψ(stem) and causes it to be better than that with ψ(leaf).
Article
Advances in electronics have made the use of plant-based sensors that continuously monitor some aspect of water status more feasible for irrigation decision making. However, barriers to grower acceptance of these techniques must be overcome if they are to be adopted in the real world. We have conducted studies on various tree crops to determine the sensitivity of both parameters developed from continuously recording plantbased sensors, including maximum daily trunk shrinkage (MDS) and traditional discrete water status measurements, such as stem water potential (SWP), to the onset of tree water deficits. We found strong correlations between MDS and SWP. Indicator "signals" (actual/reference measurement), "noise" (coefficient of variation), and "signal/noise ratios" suggest that MDS is usually a superior parameter for irrigation scheduling than SWP. Technical, economic, and psychological barriers involved in grower acceptance of continuously recorded, plant-based indicators of water stress are addressed.
Article
The effect of irrigation rate under various crop loads on the fruit size of apple (Malus domestica Borkh cv. Golden Delicious) was investigated in three field experiments in 1993-1995. During the first two years the field experiments evaluated the effects of various crop loads on yield, fruit size and midday stem water potential under 40% deficit irrigation. In 1995, the effects of five irrigation levels (0.42-1.06 of USDA Class A evaporation pan) and four crop loads (100-450 fruits per tree) were studied in a factorial experiment. Midday stem water potential increased with irrigation level and decreased with crop load in 1993 and at the lowest irrigation level in 1995. Daily fruit growth rate decreased with midday stem water potential in 1993 and at the lowest irrigation level in 1993. The effect of crop load on fruit growth rate was associated with limited soil water availability. A reduction in yield and average fruit size were associated with midday stem water potentials lower than -1.3 MPa. Taking an additional 0.1 MPa as a safety factor, -1.2 MPa could serve as a reasonable threshold for irrigation control in the orchard.
Article
The interaction between irrigation and crop load in their effect on fruit size distribution was investigated in a 'Spadona' (Pyrus communis) pear orchard located in a semi-arid zone. Five crop coefficient treatments were applied during the main fruit expansion phase: 0.25 K(C), 0.40 K(C), 0.60 K(C), 0.80 K(C), 1.00 K(C) where the crop coefficient (K(C)) is the applied irrigation level divided by the USDA 'Class A' pan evaporation rate. An additional irrigation treatment (0.80 K(C)-ED) studied the effect of early water deficit. Crop load was adjusted to 200 to 800 fruits per tree in the 900 trees per ha orchard, by hand thinning. Cumulative irrigation levels up to harvest were 271, 351, 465, 572, 502 and 688 mm, in the 0.25 K(C), 0.40 K(C), 0.60 K(C), 0.80 K(C), 0.80 K(C)-ED and 1.00 K(C) treatments, respectively. Crop yield increased with irrigation rate and crop load, with no interactions between the two. Total yields of fruits larger than 55, 60 and 65 mm increased with increasing irrigation level up to crop coefficient of 0.80, whereas the relative yields of fruits larger than 55, 60 and 65 mm increased with increasing crop coefficient up to 0.60, 1.00 and 1.00, respectively. Relative yield of large fruits decreased with increasing crop level. The fruit weight was highly correlated with the midday stem water potential, although the maximum water potential in the present study was much lower than those reported elsewhere for non-stress conditions. This suggests that there was some limitation in the water-absorption capacity of the root system, or inefficient irrigation practice in the present study. The early water deficit here was too severe and the initial fruit diameter in the 0.80 K(C)-ED treatment was significantly lower than that in the 0.80 K(C) treatment. Nevertheless, the fruit growth rate in the 0.80 K(C)-ED treatment was higher than that in the 0.80 K(C), treatment, indicating that potential fruit growth rate was increased by early water deficit.
Article
Canopy photosynthesis (Ac), transpiration (Ec) and light interception of three peach training systems, delayed vasette (DV), palmette (P), and Y-trellis (Y), were measured by a whole-canopy gas exchange open system, and a custom-built all-wave scanner-recorder. Whole-canopy assimilation rates peaked before midday in both DV and P, then Ac started to decrease in the afternoon, even if light was not a limiting factor. Both canopies reached similar maximum Ec rates in late afternoon. On the contrary, Ac of the east and west sides of the Y was nearly constant between 10:00 and 15:00 hours. In DV and P, the assimilation-transpiration ratio (ATR) decreased from early morning hours to a minimum in early afternoon, increasing thereafter. In the Y, ATR values were higher than in DV and P and, after the initial morning decrease, they remained stable until the end of the day. On a hectare base, light interception in DV and P was similar, while Y showed higher interception throughout the day. Whole-canopy photosynthesis was linearly related to the amount of light intercepted by the tree.
Article
To characterize tree responses to water deficits in shallow and deep rooted conditions, parameters developed using daily oscillations from continuously measured soil water content and trunk diameter were compared with traditional discrete monitoring of soil and plant water status in lysimeter and field-grown peach trees [Prunus persica (L.) Batsch 'O' Henry']. Evaluation occurred during the imposition of deficit irrigation for 21 days followed by full irrigation for 17 days. The maximum daily available soil water content fluctuations (MXAWCF) taken at any of the four monitored root zone depths responded most rapidly to the deficit irrigation. The depth of the MXAWCF increased with time during the deficit irrigation. Differences relative to a fully irrigated control were greater in the lysimeter than the field-grown trees. Minimum daily trunk diameter (MNTD) and maximum daily trunk shrinkage (MDS) responded sooner than midday stem water potential (stem Ψ), predawn or midday leaf water potential (predawn leaf Ψ and leaf Ψ), or photosynthesis (A). Parameters based on trunk diameter monitoring, including maximum daily trunk diameter (MXTD), correlated well with established physiological and parameters of tree water status. Statistical analysis of the differences in the measured parameters relative to fully irrigated trees during the first 10 days of deficit irrigation ranked the sensitivity of the parameters in the lysimeter as MXAWCF > MNTD > MDS > MXTD > stem Ψ = A = predawn leaf Ψ = leaf Ψ. Equivalent analysis with the field-grown trees ranked the sensitivity of the parameters as MXAWCF > MNTD > MDS > stem Ψ = leaf Ψ = MXTD = predawn leaf Ψ > A. Following a return to full irrigation in the lysimeter, MDS and all the discrete measurements except A quickly returned to predeficit irrigation levels. Tree recovery in the field-grown trees was slower and incomplete due to inadequate filling of the root zone. Fruit size was significantly reduced in the lysimeter while being minimally affected in the field-grown trees. Parameters only available from continuous monitoring hold promise for improving the precision of irrigation decision-making over the use of discrete measurements.
Article
Four methods of estimating daily light interception (fisheye photography with image analysis, multiple-light sensors, ceptometer, and point grid) were compared using various apple ( Malus domestica Borkh.) tree forms: slender spindle, Y- and T-trellises, and vertical palmette. Interactions of tree form, time of day, and atmospheric conditions with light interception estimates were examined. All methods were highly correlated to each other ( r² > 0.92) for estimated daily mean percent total light interception by the various tree forms, except that the point grid method values were slightly lower. Interactions were found among tree form, time of day, and diffuse/direct radiation balance on estimated light interception, suggesting that several readings over the day are needed under clear skies, especially in upright canopies. The similar results obtained by using the point grid method (counting shaded/exposed points on a grid under the canopy) on clear days may allow rapid, simple, and inexpensive estimates of orchard light interception.