88 E u r o p e a n J o u r n a l o f H o r t i c u l t u r a l S c i e n c e
Eur. J. Hortic. Sci. 86(1), 88–98 | ISSN 1611-4426 print, 1611-4434 online | https://doi.org/10.17660/eJHS.2021/86.1.10 | © ISHS 2021
Ǧϐ
Ǧϐ
M. Penzel1,2ǡǤϐ2, R. Gebbers2 and M. Zude-Sasse2
1 Technische Universität Berlin, Chair of Agromechatronics, Berlin, Germany
2 Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam, Germany
Original article
Summary
yield and fruit quality in the production of apple fruit.
ϐ
Ǧ ϐ
thinning. In the years 2011, 2014–2016, commercial
orchards of ‘Elstar’/M26 and ‘Gala’/M9 trained as
ǡϐ
set were mechanically thinned at balloon stage (BBCH
59) with the Darwin 250 device at constant vehicle
speed of 8 km h-1 with varying rotational frequency
ranging from 200 revolutions per minute (rpm) to
380 rpm. Rotational frequency of the thinning device
was translated to average kinetic energy (Ekin [J])
Ǥ
ͲǤͳͷͲǤǤ
ϐǡ
production target of 119 fruit and, therefore, no
Ǥ εͲǤʹ͵
yield loss by over-thinning without any positive effect
Ǥϐǡ
of 0.23 J and 0.33 J were adequate settings to reduce
crop load in ‘Elstar’ and 0.33 J in ‘Gala’ without yield
Ǥϐ
ϐ
the avoidance of yield loss by over-thinning of trees
ϐͳǤͶȂͶǤʹ-1 in
‘Elstar’ and 2.6–7.6 t ha-1 in ‘Gala’. Results indicate the
ϐ
ϐ
to the tree’s yield capacity.
Keywords
crop load, ‘Elstar’, fruit quality, fruit tree, ‘Gala’, precision
horticulture, yield
ϐ
What is already known on this subject?
• In former studies, the principle of mechanical thinning
with varying parameters was intensively investigated
in apple. The spatial variability of soil was shown for
ϐ
known in practise.
ϔǫ
• With the proposed method, the actual impact of
mechanical thinning becomes comparable by utilizing
treatment. It ϐ
ϐǡ
while tree-adapted thinning can optimize the process
considering fruit quality and yield.
What is the expected impact on horticulture?
• ϐ
managed more precisely resulting in enhanced yield.
Introduction
ϐ-
ceeding the fruit bearing capacity of the tree (Lakso, 2011).
This physiological characteristic is desirable regarding
yield reliability even in the case of negative environmental
impacts, e.g., late frost, hail and rain, which can cause un-
ϐ
fruit set (Heinicke, 1917; MacDaniels and Heinicke, 1929).
Consequently trees frequently bear more fruit than can be
supplied appropriately with carbohydrates (Lakso, 2011),
leading to minor fruit size and alternate bearing (Jonkers,
German Society for
Horticultural Science
1979; Looney, 1993). Endogenous regulation mechanisms of
the tree initiate the reduction of crop load by means of fruit
abscission. The fruit drop captures unfertilized and poorly
developed fruit, which are dominated by fruit with adequate
supply of exogenous and endogenous growth factors, visu-
ally measureable by common number of seeds (Luckwill,
1953; Bangerth, 2000). The endogenous regulation of fruit
ǡ ǡ ϐ
the optimum level considering fruit quality and prevention
of alternate bearing. Therefore, management of surplus fruit
is required. The optimum crop load of a tree highly depends
on the target of fruit size and the availability of resources,
especially carbohydrates and water, per fruit. The supply
of carbohydrates is limited by the leaf area to fruit ratio of
the tree (Haller and Magness, 1933; Preston, 1954; Silberei-
sen, 1966; Hansen, 1969, 1977). Crop load management can
ǡǡ
increase fruit growth rate and advance maturity of apple
ȋǤǡͳͻͻǢòǤǡʹͲͲͲȌǤϐ
of the 20th century, hand thinning was the only production
measure of crop load management (Dennis, 2000). Mean-
while, chemical thinning has been widely accepted in prac-
ϐϐǤ-
ǡϐ
thinning intensity is frequently hardly predictable (Stover
and Greene, 2005). As an alternative, devices for mechani-
ϐ͵Ͳ years
with more reliable effects (Schröder, 1996; Bertschinger et
V o l u m e 8 6 | I s s u e 1 | F e b r u a r y 2 0 2 1
89
ǤȁǦϐ
al., 1998; Damerow et al., 2007). The principle is based on a
ǡϐ
ϐǤ
driven by a mechanical or hydraulic system, which allows the
-
ȋȌǤϐ
length of strings, the rotational frequency and the speed of
Ǥϐ-
er removal (Zoth, 2011; Kon et al., 2013; Penzel et al., 2020)
by the enhanced kinetic energy (Ekin), which is transferred
by the strings into the canopy. The speed of the tractor in-
ϐǤ
ϐ
and Blanke (2010) regards most of these factors and also in-
Dzdz
ϐǤǡǯ
ϐ
ǡϐ
compared to the effect of the thinning intensity. The formula
developed by Zoth (2011) totalizes the kinetic energy, which
every centimeter of one string transfers into the canopy.
Apart from the intended treatment, the strings also hit
ϐȋ
et al., 2013). Therefore, it is assumed that mechanical thin-
ning has an effect on ethylene production and export from
the tissue (Kong et al., 2009), which might trigger fruit ab-
ȋǡ ʹͲͲͲȌǤ ǡ ϐ -
ing a mechanical thinning device potentially improves fruit
quality and supports return bloom the same way as chemical
or mechanical hand thinning (Weibel et al., 2008; Hehnen,
ʹͲͳʹȌǤϐ-
duction of labor input (Schupp et al., 2008). Consequently,
ϐ
friendly way of crop load management (Solomakhin and
Blanke, 2010), which can also be applied in organic fruit
production (Weibel et al., 2008; Sinatsch, 2014) and at any
weather condition. In practice, mechanical thinning is per-
ϐǦ
ǡ ǯ ϐ Ǥ
This can potentially lead to yield losses by over-thinning of
ϐǡ
size and taste, as result of under-thinning trees with heavy
ϐǤ
by Zude-Sasse et al. (2016) would analyse the spatial het-
ϐǡ
thinning intensity according to these information. However,
there is still a lack of data on machine thinning and quan-
ϐ
ϐǤ
ϐǦ-
form thinning intensity on (i) the yield considering trees
ǡǡϐǡȋȌ the fruit qual-
ity and percentage of marketable yield obtained from trees
ǡǡϐǤ
Materials and methods
Experimental sites
The study was carried out in two commercial orchards
of Malus × domestica Borkh. in the fruit production region
of Werder, Brandenburg, Germany. In 2002, trees of the cul-
tivars ‘Elstar’ and ‘Gala’, trained as slender spindle, were
planted with a spacing of 3.2 m × 1.2 m, which accounts for
2,604 trees ha-1. The rootstock was M26 for ‘Elstar’ and M9
for ‘Gala’. The soil type was a sandy loam. Trees were irri-
gated by drip irrigation. Management of the trees was per-
formed according to the national regulations of integrated
production.
For ‘Elstar’, 200 trees were selected for the years 2011,
2014, 2015, while in ‘Gala’ 100 trees were selected in 2014
and 200 trees in 2015 and 2016. The position of every tree
was recorded, using a real time kinematic global positioning
systems (RTK-GPS) (HiPer Pro, Topcon Corporation, Japan)
to investigate the spatial effect on yield parameters.
Trees were thinned mechanically when 50–80% of the
ϐ ȋʹͲͳͳǣ 27.04; 2014: 22.04;
2015: 30.04; 2016: 06.05.), BBCH 59 (Meier, 1997). Mechan-
ical thinning was carried out using a rotating string thinner
(Darwin 250, FruitTec, Germany) equipped with 270 plastic
strings each with a length of 60 cm. Diameter of the internal
tube of the spindle was 50 mm. The tractor speed was con-
stant at 8 km h-1 during the treatment, while varying rota-
tional frequency ranging between 200 rpm and 380 rpm was
applied. Thinning at 210+10 rpm served as basic rotational
frequency (brf) and was considered as control, since no or
minimum thinning effect was found. No additional hand thin-
ning was conducted.
ϐ,ϐ, yield and
average fruit mass
ϐͳʹ whole trees
of ‘Elstar’ in 2011 and 110 branches per cultivar in 2014 to
ϐǡ-
lated as arithmetic mean of counts. The factors found in 2014
were applied in 2015 and 2016. Prior to each thinning treat-
ment the number of clusters was counted manually for each
tree. All fruits were harvested during commercial harvest of
this orchard (2011: 17.08; 2014: 05. and 16.09; 2015: 10.-
11.09; 2016: 07.-09.09). Crop load, yield, fruit mass, and per-
centage of marketable yield considering fruit size >65 mm
was measured tree-individual with a commercial sorting line
ȋǡǤǤǡȌǤϐ-
ϐȋ
ȏΨȐȌͳͲͲϐǤ
In every year, at harvest fruit samples from each treat-
ment (2011: 787; 2014: 63; 2015: 2118; 2016: 165 fruits)
were analyzed regarding fruit quality. Soluble solids content
ȋȏΨȐȌ
refractometer (DR-301-95, Krüss, Germany). Starch break-
down was analyzed by staining the fruit halves with Lugol’s
iodine solution and interpreting the starch hydrolysis on a
scale between 1 ͳͲǤϐϐȋ cm-2) was
measured with motor-driven, digital penetrometer (Texture-
Analyser, TA.XT, Stable Micro Systems Ltd., UK). A handheld
spectrophotometer (Pigment Analyzer PA1101, CP, Germa-
ny) was used for non-destructive measurement of chloro-
phyll-related normalized difference vegetation index (NDVI
[-1; 1]; Zude, 2003).
ϐ
ϐ
kinetic energy (Ekin [J]) that one string transfers into the can-
opy. The Ekin calculated for the middle of the string is affect-
ed by the mass, m [kg], and the speed, w [m s-1] of the string
(Eq. 1).
ȋȏȐȌ
Ǥ
ǡȏȐǡǡȏȉǦͳȐȋǤͳȌǤ
ܧ ൌଵ
ଶή݉ήݓ; ȋǤͳȌ
ǡǡǡǡǡ
ȋǤʹǢͳȌǤ
Ǥ
;ൌ;; ȋǤʹȌ
ȋǤ͵ȌǤǡȏȉǦͳȐǡ
Ǥ
ൌ ȋǤ͵Ȍ
ǡ
Ͳǡ
ȋǤͶȌǤ
ൌ ȋǤͶȌ
ȏȉǦͳȐǡǡȽȏȐǡ
ǤǡͻͲι
ȽǤȋǤͷȌǤ
ൌήሺȽͻͲሻ ȋǤͷȌ
ൌήሺȽͻͲሻ ȋǤȌ
ȏȉǦͳȐǡȏȐǡ
ȏȉǦͳȐȋǤȌǤ
ǡȏȐǡǡȏȐǡ
ǡǦǡȏȐǡ
ȋǤͺȌǤȏȉǦͳȐ
ȋȌǦͳǤͻǤ
ݑ ൌή ȋǤȌ
ݎ ൌௗ
ଶ
ଶ ȋǤͺȌ
݊ൌ ௦
ήʹήɎ ȋǤͻȌ
ǤͳͲͳǤ
୩୧୬ൌͳ
ʹήሺ൬ሺ݀
ʹ݈
ʹሻή ݏ
ͲήʹήɎήሺȽͻͲሻ൰ʹ
ቀௗ
ଶ
ଶሻή ௦
ήʹήɎήሺȽͻͲሻቁʹሻ ȋǤͳͲȌ
Ǥ͵ǤͶǤͳȋǡʹͲͳͺȌ
ǮǯȋǤǡʹͲͳͺȌǡǮǯȋǡʹͲͲͶȌǡǮǯȋǡ
ʹͲͲͷȌǡǮǯȋǤǡʹͲͲͺȌǤ
ȋȌ
ȋǡǡǡ
ȌȋʹͲͳ͵ȌǤ
Ǥ
ǡǯȋǡʹͲͳȌ
ͷΨǤ
(Eq. 1)
90 E u r o p e a n J o u r n a l o f H o r t i c u l t u r a l S c i e n c e
ǤȁǦϐ
The magnitude of the velocity vector w of the string
consists from the translational movement, wx, from the
tractor in direction x and the rotary movement, wy, in
direction y, from the spindle (Eq. 2; Figure 1). It is assumed
that the rotation is conducted in parallel to the ground and
no movement in direction z occurs.
w² = wx² + wy² (Eq. 2)
The speed wx results from the addition of the vector
components vx and ux in the driving direction of the tractor
x (Eq. 3). The vector vx equates the speed, v [m s-1], of the
tractor because the motion is rectilinear in one direction.
wx = vx + ux (Eq. 3)
The speed wy results from the addition of the vector
components vy in direction y, which equates 0 because the
movement of the tractor occurs only in direction x, and uy in
direction y upright to the direction x (Eq. 4).
wy = vy + uy (Eq. 4)
The vector components ux and uy follow from multiplying
the circumferential speed u [m s-1] of the string and the cosine,
ǡȽȏȐǡ
wx and wy. Because the string hits the tree vertically to the
ǡͻͲιȽǤȋǤ 5 and 6).
ȋȏȐȌ
Ǥ
ǡȏȐǡǡȏȉǦͳȐȋǤͳȌǤ
ܧ ൌଵ
ଶή݉ήݓ; ȋǤͳȌ
ǡǡǡǡǡ
ȋǤʹǢͳȌǤ
Ǥ
;ൌ;; ȋǤʹȌ
ȋǤ͵ȌǤǡȏȉǦͳȐǡ
Ǥ
ൌ ȋǤ͵Ȍ
ǡ
Ͳǡ
ȋǤͶȌǤ
ൌ ȋǤͶȌ
ȏȉǦͳȐǡǡȽȏȐǡ
ǤǡͻͲι
ȽǤȋǤͷȌǤ
ൌήሺȽͻͲሻ ȋǤͷȌ
ൌήሺȽͻͲሻ ȋǤȌ
ȏȉǦͳȐǡȏȐǡ
ȏȉǦͳȐȋǤȌǤ
ǡȏȐǡǡȏȐǡ
ǡǦǡȏȐǡ
ȋǤͺȌǤȏȉǦͳȐ
ȋȌǦͳǤͻǤ
ݑ ൌή ȋǤȌ
ݎ ൌௗ
ଶ
ଶ ȋǤͺȌ
݊ൌ ௦
ήʹήɎ ȋǤͻȌ
ǤͳͲͳǤ
୩୧୬ൌͳ
ʹήሺ൬ሺ݀
ʹ݈
ʹሻή ݏ
ͲήʹήɎήሺȽͻͲሻ൰ʹ
ቀௗ
ଶ
ଶሻή ௦
ήʹήɎήሺȽͻͲሻቁʹሻ ȋǤͳͲȌ
Ǥ͵ǤͶǤͳȋǡʹͲͳͺȌ
ǮǯȋǤǡʹͲͳͺȌǡǮǯȋǡʹͲͲͶȌǡǮǯȋǡ
ʹͲͲͷȌǡǮǯȋǤǡʹͲͲͺȌǤ
ȋȌ
ȋǡǡǡ
ȌȋʹͲͳ͵ȌǤ
Ǥ
ǡǯȋǡʹͲͳȌ
ͷΨǤ
(Eq. 5)
ȋȏȐȌ
Ǥ
ǡȏȐǡǡȏȉǦͳȐȋǤͳȌǤ
ܧ ൌଵ
ଶή݉ήݓ; ȋǤͳȌ
ǡǡǡǡǡ
ȋǤʹǢͳȌǤ
Ǥ
;ൌ;; ȋǤʹȌ
ȋǤ͵ȌǤǡȏȉǦͳȐǡ
Ǥ
ൌ ȋǤ͵Ȍ
ǡ
Ͳǡ
ȋǤͶȌǤ
ൌ ȋǤͶȌ
ȏȉǦͳȐǡǡȽȏȐǡ
ǤǡͻͲι
ȽǤȋǤͷȌǤ
ൌήሺȽͻͲሻ ȋǤͷȌ
ൌήሺȽͻͲሻ ȋǤȌ
ȏȉǦͳȐǡȏȐǡ
ȏȉǦͳȐȋǤȌǤ
ǡȏȐǡǡȏȐǡ
ǡǦǡȏȐǡ
ȋǤͺȌǤȏȉǦͳȐ
ȋȌǦͳǤͻǤ
ݑ ൌή ȋǤȌ
ݎ ൌௗ
ଶ
ଶ ȋǤͺȌ
݊ൌ ௦
ήʹήɎ ȋǤͻȌ
ǤͳͲͳǤ
୩୧୬ൌͳ
ʹήሺ൬ሺ݀
ʹ݈
ʹሻή ݏ
ͲήʹήɎήሺȽͻͲሻ൰ʹ
ቀௗ
ଶ
ଶሻή ௦
ήʹήɎήሺȽͻͲሻቁʹሻ ȋǤͳͲȌ
Ǥ͵ǤͶǤͳȋǡʹͲͳͺȌ
ǮǯȋǤǡʹͲͳͺȌǡǮǯȋǡʹͲͲͶȌǡǮǯȋǡ
ʹͲͲͷȌǡǮǯȋǤǡʹͲͲͺȌǤ
ȋȌ
ȋǡǡǡ
ȌȋʹͲͳ͵ȌǤ
Ǥ
ǡǯȋǡʹͲͳȌ
ͷΨǤ
(Eq. 6)
The circumferential speed u [m s-1] results from
multiplying the radius, r [m], at the middle of the string with
the rotational frequency n [rad s-1] of the rotating spindle
(Eq. 7). The radius at the middle of the string, r [m], captures
the half diameter, d [m], of the inner tube of the rotating
spindle, where the string is attached and the half-length,
l [m], of the string (Eq. 8). The rotational frequency n [rad s-1]
results from converting the revolutions per minute (rpm)
into the unit rad s-1 by using Eq. 9.
ȋȏȐȌ
Ǥ
ǡȏȐǡǡȏȉǦͳȐȋǤͳȌǤ
ܧ ൌଵ
ଶή݉ήݓ; ȋǤͳȌ
ǡǡǡǡǡ
ȋǤʹǢͳȌǤ
Ǥ
;ൌ;; ȋǤʹȌ
ȋǤ͵ȌǤǡȏȉǦͳȐǡ
Ǥ
ൌ ȋǤ͵Ȍ
ǡ
Ͳǡ
ȋǤͶȌǤ
ൌ ȋǤͶȌ
ȏȉǦͳȐǡǡȽȏȐǡ
ǤǡͻͲι
ȽǤȋǤͷȌǤ
ൌήሺȽͻͲሻ ȋǤͷȌ
ൌήሺȽͻͲሻ ȋǤȌ
ȏȉǦͳȐǡȏȐǡ
ȏȉǦͳȐȋǤȌǤ
ǡȏȐǡǡȏȐǡ
ǡǦǡȏȐǡ
ȋǤͺȌǤȏȉǦͳȐ
ȋȌǦͳǤͻǤ
ݑ ൌή ȋǤȌ
ݎ ൌௗ
ଶ
ଶ ȋǤͺȌ
݊ൌ ௦
ήʹήɎ ȋǤͻȌ
ǤͳͲͳǤ
୩୧୬ൌͳ
ʹήሺ൬ሺ݀
ʹ݈
ʹሻή ݏ
ͲήʹήɎήሺȽͻͲሻ൰ʹ
ቀௗ
ଶ
ଶሻή ௦
ήʹήɎήሺȽͻͲሻቁʹሻ ȋǤͳͲȌ
Ǥ͵ǤͶǤͳȋǡʹͲͳͺȌ
ǮǯȋǤǡʹͲͳͺȌǡǮǯȋǡʹͲͲͶȌǡǮǯȋǡ
ʹͲͲͷȌǡǮǯȋǤǡʹͲͲͺȌǤ
ȋȌ
ȋǡǡǡ
ȌȋʹͲͳ͵ȌǤ
Ǥ
ǡǯȋǡʹͲͳȌ
ͷΨǤ
(Eq. 7)
ȋȏȐȌ
Ǥ
ǡȏȐǡǡȏȉǦͳȐȋǤͳȌǤ
ܧ ൌଵ
ଶή݉ήݓ; ȋǤͳȌ
ǡǡǡǡǡ
ȋǤʹǢͳȌǤ
Ǥ
;ൌ;; ȋǤʹȌ
ȋǤ͵ȌǤǡȏȉǦͳȐǡ
Ǥ
ൌ ȋǤ͵Ȍ
ǡ
Ͳǡ
ȋǤͶȌǤ
ൌ ȋǤͶȌ
ȏȉǦͳȐǡǡȽȏȐǡ
ǤǡͻͲι
ȽǤȋǤͷȌǤ
ൌήሺȽͻͲሻ ȋǤͷȌ
ൌήሺȽͻͲሻ ȋǤȌ
ȏȉǦͳȐǡȏȐǡ
ȏȉǦͳȐȋǤȌǤ
ǡȏȐǡǡȏȐǡ
ǡǦǡȏȐǡ
ȋǤͺȌǤȏȉǦͳȐ
ȋȌǦͳǤͻǤ
ݑ ൌή ȋǤȌ
ݎ ൌௗ
ଶ
ଶ ȋǤͺȌ
݊ൌ ௦
ήʹήɎ ȋǤͻȌ
ǤͳͲͳǤ
୩୧୬ൌͳ
ʹήሺ൬ሺ݀
ʹ݈
ʹሻή ݏ
ͲήʹήɎήሺȽͻͲሻ൰ʹ
ቀௗ
ଶ
ଶሻή ௦
ήʹήɎήሺȽͻͲሻቁʹሻ ȋǤͳͲȌ
Ǥ͵ǤͶǤͳȋǡʹͲͳͺȌ
ǮǯȋǤǡʹͲͳͺȌǡǮǯȋǡʹͲͲͶȌǡǮǯȋǡ
ʹͲͲͷȌǡǮǯȋǤǡʹͲͲͺȌǤ
ȋȌ
ȋǡǡǡ
ȌȋʹͲͳ͵ȌǤ
Ǥ
ǡǯȋǡʹͲͳȌ
ͷΨǤ
(Eq. 8)
ȋȏȐȌ
Ǥ
ǡȏȐǡǡȏȉǦͳȐȋǤͳȌǤ
ܧ ൌଵ
ଶή݉ήݓ; ȋǤͳȌ
ǡǡǡǡǡ
ȋǤʹǢͳȌǤ
Ǥ
;ൌ;; ȋǤʹȌ
ȋǤ͵ȌǤǡȏȉǦͳȐǡ
Ǥ
ൌ ȋǤ͵Ȍ
ǡ
Ͳǡ
ȋǤͶȌǤ
ൌ ȋǤͶȌ
ȏȉǦͳȐǡǡȽȏȐǡ
ǤǡͻͲι
ȽǤȋǤͷȌǤ
ൌήሺȽͻͲሻ ȋǤͷȌ
ൌήሺȽͻͲሻ ȋǤȌ
ȏȉǦͳȐǡȏȐǡ
ȏȉǦͳȐȋǤȌǤ
ǡȏȐǡǡȏȐǡ
ǡǦǡȏȐǡ
ȋǤͺȌǤȏȉǦͳȐ
ȋȌǦͳǤͻǤ
ݑ ൌή ȋǤȌ
ݎ ൌௗ
ଶ
ଶ ȋǤͺȌ
݊ൌ ௦
ήʹήɎ ȋǤͻȌ
ǤͳͲͳǤ
୩୧୬ൌͳ
ʹήሺ൬ሺ݀
ʹ݈
ʹሻή ݏ
ͲήʹήɎήሺȽͻͲሻ൰ʹ
ቀௗ
ଶ
ଶሻή ௦
ήʹήɎήሺȽͻͲሻቁʹሻ ȋǤͳͲȌ
Ǥ͵ǤͶǤͳȋǡʹͲͳͺȌ
ǮǯȋǤǡʹͲͳͺȌǡǮǯȋǡʹͲͲͶȌǡǮǯȋǡ
ʹͲͲͷȌǡǮǯȋǤǡʹͲͲͺȌǤ
ȋȌ
ȋǡǡǡ
ȌȋʹͲͳ͵ȌǤ
Ǥ
ǡǯȋǡʹͲͳȌ
ͷΨǤ
(Eq. 9)
Eq. 10 displays the resulting overall formula for Ekin
illustrated in Figure 1.
ȋȏȐȌ
Ǥ
ǡȏȐǡǡȏȉǦͳȐȋǤͳȌǤ
ܧ ൌଵ
ଶή݉ήݓ; ȋǤͳȌ
ǡǡǡǡǡ
ȋǤʹǢͳȌǤ
Ǥ
;ൌ;; ȋǤʹȌ
ȋǤ͵ȌǤǡȏȉǦͳȐǡ
Ǥ
ൌ ȋǤ͵Ȍ
ǡ
Ͳǡ
ȋǤͶȌǤ
ൌ ȋǤͶȌ
ȏȉǦͳȐǡǡȽȏȐǡ
ǤǡͻͲι
ȽǤȋǤͷȌǤ
ൌήሺȽͻͲሻ ȋǤͷȌ
ൌήሺȽͻͲሻ ȋǤȌ
ȏȉǦͳȐǡȏȐǡ
ȏȉǦͳȐȋǤȌǤ
ǡȏȐǡǡȏȐǡ
ǡǦǡȏȐǡ
ȋǤͺȌǤȏȉǦͳȐ
ȋȌǦͳǤͻǤ
ݑ ൌή ȋǤȌ
ݎ ൌௗ
ଶ
ଶ ȋǤͺȌ
݊ൌ ௦
ήʹήɎ ȋǤͻȌ
ǤͳͲͳǤ
୩୧୬ൌͳ
ʹήሺ൬ሺ݀
ʹ݈
ʹሻή ݏ
ͲήʹήɎήሺȽͻͲሻ൰ʹ
ቀௗ
ଶ
ଶሻή ௦
ήʹήɎήሺȽͻͲሻቁʹሻ ȋǤͳͲȌ
Ǥ͵ǤͶǤͳȋǡʹͲͳͺȌ
ǮǯȋǤǡʹͲͳͺȌǡǮǯȋǡʹͲͲͶȌǡǮǯȋǡ
ʹͲͲͷȌǡǮǯȋǤǡʹͲͲͺȌǤ
ȋȌ
ȋǡǡǡ
ȌȋʹͲͳ͵ȌǤ
Ǥ
ǡǯȋǡʹͲͳȌ
ͷΨǤ
ȋȏȐȌ
Ǥ
ǡȏȐǡǡȏȉǦͳȐȋǤͳȌǤ
ܧ ൌଵ
ଶή݉ήݓ; ȋǤͳȌ
ǡǡǡǡǡ
ȋǤʹǢͳȌǤ
Ǥ
;ൌ;; ȋǤʹȌ
ȋǤ͵ȌǤǡȏȉǦͳȐǡ
Ǥ
ൌ ȋǤ͵Ȍ
ǡ
Ͳǡ
ȋǤͶȌǤ
ൌ ȋǤͶȌ
ȏȉǦͳȐǡǡȽȏȐǡ
ǤǡͻͲι
ȽǤȋǤͷȌǤ
ൌήሺȽͻͲሻ ȋǤͷȌ
ൌήሺȽͻͲሻ ȋǤȌ
ȏȉǦͳȐǡȏȐǡ
ȏȉǦͳȐȋǤȌǤ
ǡȏȐǡǡȏȐǡ
ǡǦǡȏȐǡ
ȋǤͺȌǤȏȉǦͳȐ
ȋȌǦͳǤͻǤ
ݑ ൌή ȋǤȌ
ݎ ൌௗ
ଶ
ଶ ȋǤͺȌ
݊ൌ ௦
ήʹήɎ ȋǤͻȌ
ǤͳͲͳǤ
୩୧୬ൌͳ
ʹήሺ൬ሺ݀
ʹ݈
ʹሻή ݏ
ͲήʹήɎήሺȽͻͲሻ൰ʹ
ቀௗ
ଶ
ଶሻή ௦
ήʹήɎήሺȽͻͲሻቁʹሻ ȋǤͳͲȌ
Ǥ͵ǤͶǤͳȋǡʹͲͳͺȌ
ǮǯȋǤǡʹͲͳͺȌǡǮǯȋǡʹͲͲͶȌǡǮǯȋǡ
ʹͲͲͷȌǡǮǯȋǤǡʹͲͲͺȌǤ
ȋȌ
ȋǡǡǡ
ȌȋʹͲͳ͵ȌǤ
Ǥ
ǡǯȋǡʹͲͳȌ
ͷΨǤ
(Eq. 10)
Statistical analysis
Statistical analyses were carried out in software R v. 3.4.1
(R Core Team, 2018) using the packages ‘nlme’ (Pinheiro
et al., 2018), ‘gstat’ (Pebesma, 2004), ‘sp’ (Pebesma and
Bivand, 2005), and ‘multcomp’ (Hothorn et al., 2008). The
spatial covariance of latitude and longitude was included in
the analysis of variance (ANOVA) when analyzing the effect
of thinning treatment on the yield parameters (crop load,
ϐ ǡ ǡ
marketable yield) as described by Crawley (2013). ANOVA
results are expressed as p values in the text. In the case that
ϐ
traits was found, Dunn’s Test (Dinno, 2017) was used for
ͷΨϐǤ
ͳǤȋα
ǡǢαǢȽα
ȌǤ
ĎČĚėĊͳǤ Scheme of the operating mode of the mechanical thinning device and velocity vectors (d = diameter of the inner
tube of the rotating spindle, where the string is attached; l αǢȽ = the angle between wx and wy).
V o l u m e 8 6 | I s s u e 1 | F e b r u a r y 2 0 2 1
91
ǤȁǦϐ
Results
ϐ
ϐͶǤ͵άͲǤ
for ‘Elstar’ in 2011 and 4.7±0.3 for ‘Elstar’ and 5.2±0.3 for
‘Gala’ in 2014. The absolute number and the distribution of
ϐǡ
investigated trees, varied considerably between cultivars
ȋʹȌǤǮǯϐ
arithmetic mean of 249, 246, 646 in 2011, 2014, 2015, re-
ǡǮǯϐͷͶͳǡ
532, 1,434 in 2014, 2015, 2016, respectively. In ‘Elstar’,
ϐǡ
ȋͳȌǤϐǮǯ
was 2,162 observed on one single tree in 2015, however the
95thϐͳǡʹͲǡ
ǮǯϐǤǮǯǡ
ϐ͵ǡʹͶͷʹͲͳǡ
extreme value regarding 95th quantile of 2,149 in the same
Ǥϐ
as residues to avoid overestimation of the effect of thinning
intensity. Trees were grouped in 3 classes according to low,
ǡϐȋͳʹȌǤ
ϐ
The angle of the string to the driving direction has an im-
pact on Ekin (Figure 3). Considering the settings of the Dar-
win device used in the present trials, the angle of the string
generated a difference in Ekin of 0.29 J at 380 rpm, 8 km h-1
due to the possible angles between 0 and 180 degrees, with
0 degree and 180 degrees resulting in maximum and 90° in
minimum Ekin for each rotation.
The speed of the tractor resulted in a reduced effect on
Ekin considering the operation speeds described earlier and,
ʹǤ
ǮǯȀʹǮǯȀͻͳͷͲǤ
Ǥ
ĎČĚėĊʹǤ ϐϐ
clusters in all years in ‘Elstar’/M26 and ‘Gala’/M9 providing a class width of 150. Dashed line marks the mean value.
92 E u r o p e a n J o u r n a l o f H o r t i c u l t u r a l S c i e n c e
ǤȁǦϐ
to our knowledge, applied in practice ranging from 2.5 km h-1
to 12.0 km h-1 (Kon et al., 2013). At rotational frequency of
380 rpm, this difference in tractor speed caused a maximum
spread of 0.19 J, regarding the angle of the string at 135° to
the driving direction. However, the effects of rotational fre-
with quadratic effect on Ekin per hit calculated for the mid-
dle of the rotating string (Eq. 10). For the 60-cm strings and
8 km h-1 used in the present study, the average Ekin per hit cal-
culated at the middle of the string at an angle of 135 degree,
ranged from 0.15 J at 200 rpm to 0.66 J at 380 rpm.
ϐǡǡ
1. Spatial autocorrelation. Variograms (21 ϐǡ
not shown) were used for selecting post hoc or adapted post
ǤϐȋȌ-
ketable yield no spatial effect was found in any trial. In ‘El-
star’, an adapted post hoc test was applied for yield, crop
load, and average fruit mass where a spatial effect was found
until a distance of 30 m between the trees. For ‘Gala’ spatial
effects were found until a distance of 15 m in 2014 and until
20 m in 2015 and 2016, considering the variables yield, crop
load, and average fruit mass.
ʹǤϐϐǤThe
FFS, representing the percentage of fruit developed from
100 ϐǡǡ-
ϐ
ȋ ͳ ʹȌǤ ǡ ϐ
thinning treatment in both cultivars in every year. FFS ranged
ʹǤΨϐʹͲͳ
ͶͺǤͶΨϐʹͲͳͷǤ
ϐ ǡ Ǯǯ ʹͲͳͳ ȋ ͶȌ
2014, thinning treatment of 0.33 J and higher reduced FFS
(2011: p<0.01; 2014: p=0.03) in comparison to the basic ro-
tational frequency (brf) of 0.15 J. In 2015, treatment above
or equal to 0.28 J had an effect (2015: p<0.001) on FFS in
comparison to brf of 0.19 J (Table 3). In ‘Gala’ 2014, no effect
of thinning treatment on FFS was observed for trees with low
ϐȋͷȌǤʹͲͳͷǡ
ϐϐ
within this class. In ‘Gala’ 2016, treatments of 0.39 J and high-
ȋδͲǤͲͳȌϐ
set from 8.2% to 3.8% and lower.
ϐ ǡ Ǯǯ ʹͲͳͳ
0.33 J and 0.45 J reduced FFS (p<0.01) in comparison to brf
(Figure 4), while in 2014 only 0.45 ϐ-
ĆćđĊͳǤϐϐǡǡǮǯȀʹǤ
Flower set Class 2011 2014 Flower set Class 2015
n x¯ n ¯x n ¯x
0 – – – 18 0 0 – 2 0
1–200 Low 99 84.5 89 57.5 1–350 Low 57 195.9
201–400 Medium 64 292.8 52 296.5 351–700 Medium 67 519.4
401–800 High 44 529.3 46 556.6 701–1,400 High 82 962.5
Residue – 2 – 8 – Residue – 9 –
ĆćđĊʹǤϐϐǡǡǮǯȀͻǤ
Flower set Class 2014 2015 Flower set Class 2016
n x¯ n x¯ n x¯
50–350 Low 22 242.5 30 269.2 650–1,150 Low 45 989.6
350–600 Medium 45 510.5 105 479.6 1,151–1,650 Medium 75 1,412.7
600–1,000 High 29 740.9 58 742.7 1,651–2,150 High 56 1,849.5
Residue – 4 – 7 – Residue – 24 –
͵Ǥ
ǡͲ
ȋʹǤͷ
Ǧͳ
αǡͺǤͲ
Ǧͳ
αǡͳʹǤͲ
Ǧͳ
αȌͻͲιȋ
ȌͳͺͲιȋȌǤ
ĎČĚėĊ ͵Ǥ Calculated Ekin occurring
during mechanical thinning, consider-
ing one hit of in the middle of the
60 cm string at varying tractor speed
(2.5 km h-1 = square, 8.0 km h-1 = cir-
cle, and 12.0 km h-1 = triangle) at 90°
(open symbol) and 180° (closed sym-
bol) angle of the string to the driving
direction.
V o l u m e 8 6 | I s s u e 1 | F e b r u a r y 2 0 2 1
93
ǤȁǦϐ
ͶǤȋαͲǤͳͷǡαͲǤʹ͵ǡαͲǤ͵͵ǡ
ǦαͲǤͶͷȌȋȌǡȋȌǡ
ȋȌǡ ȋǡΨȌ ǣ ȋȌǣ ͳȂʹͲͲǡ
ȋȌǣʹͲͳȂͶͲͲǡȋȌǣͶͲͳȂͺͲͲȋȌǮǯȀʹʹͲͳͳǤ
ĎČĚėĊ ͶǤ Effect of mechanical thinning
treatment (solid lines = 0.15 J, dashed lines =
0.23 J, dotted lines = 0.33 J, dash-dotted
lines = 0.45 J) on crop load (CL as number of
fruit per tree), fresh mass (FM in g), absolute
yield (Y in kg), and percentage of marketable
yield (MY, ΨȌ ϐ
set: (A) low: 1–200, (B) medium: 201–400,
ȋȌǣͶͲͳȂͺͲͲϐȋȌǮǯȀ
M26 in 2011.
ĆćđĊ͵ǤȋȽαͷΨȌȋϐȌϐȋȌ
‘Elstar’ in two years.
Flower set
Thinning
treatment Ekin
(J)
Crop load
(fruit/tree)
Final fruit set
(fruit 10-2ÀRZHUV
Yield
(kg)
Fruit mass
(g)
Marketable yield
(%)
2014
Low 0.15 21.8 BC, a 38.9 B, b 4.0 BC, a 196.9 A, b 97.7 A, b
0.23 33.3 C, a 39.6 B, b 5.3 C, a 182.8 A, b 95.5 A, b
0.33 14.6 AB, a 26.4 A, a 2.7 AB, a 182.1 A, b 96.5 A, b
0.45 16.2 A, a 27.8 A, a 2.7 A, a 171.1 A, b 93.8 A, b
Medium 0.15 100.5 A, b 35.4 B, b 13.1 A, b 130.8 A, a 77.7 A, a
0.23 110.3 A, b 39.4 B, ab 16.0 A, b 145.8 A, a 86.2 A, a
0.33 101.4 A, b 35.7 B, b 15.5 A, b 153.4 A, b 90.3 A, b
0.45 87.4 A, b 26.8 A, a 12.4 A, b 136.0 A, a 84.6 A, ab
High 0.15 131.9 A, c 25.3 B, a 16.0 A, b 119.9 A, a 67.9 A, a
0.23 126.5 A, b 24.5 AB, a 14.7 A, b 116.6 A, a 63.3 A, a
0.33 125.2 A, b 22.8 AB, a 14.7 A, b 117.1 A, a 69.7 A, a
0.45 107.3 A, b 19.0 A, a 12.9 A, b 118.6 A, a 72.5 A, a
2015
Low 0.19 85.5 C, a 48.4 C, b 13.4 C, a 168.4 A, b 91.2 A, b
0.23 58.1 BC, a 36.1 BC, a 10.0 BC, a 176.1 A, c 95.7 A, b
0.28 40.3 AB, a 21.7 AB, a 6.9 AB, a 159.0 A, b 87.4 A, b
0.45 26.7 A, a 11.8 A, a 4.3 A, a 146.8 A, a 89.4 A, a
Medium 0.19 123.4 B, ab 23.2 B, a 17.8 B, a 144.9 A, b 85.4 A, b
0.23 113.2 B, b 22.5 B, a 16.4 B, ab 141.6 A, b 80.8 A, ab
0.28 110.8 B, b 21.5 B, a 13.6 AB, b 131.7 A, ab 76.0 A, ab
0.45 73.5 A, b 14.3 A, a 10.7 A, b 149.7 A, a 87.8 A, a
High 0.19 162.8 B,b 17.1 B, a 16.1 A, a 100.7 A, a 55.3 A, a
0.23 172.9 B,c 19.1 B, a 18.4 A, b 106.0 A, a 60.7 A, a
0.28 142.3 AB, c 15.9 AB, a 16.0 A, b 113.3 A, ab 65.9 A, a
0.45 108.5 A, b 10.8 A, a 15.3 A, b 146.9 B, b 87.1 B, b
94 E u r o p e a n J o u r n a l o f H o r t i c u l t u r a l S c i e n c e
ǤȁǦϐ
duction in ‘Elstar’ (p=0.05) and in ‘Gala’ (p<0.01) (Figure
5). In 2015, treatments of 0.45 J and higher reduced FFS
(2015: p=0.02) in ‘Elstar’, while 0.28 J and higher resulted
in a reduction of FFS in ‘Gala’ 2015 (p=0.01) and 0.39 J and
higher in 2016 (p<0.001).
ϐǡǮǯʹͲͳͳȋͶȌǡ
of 0.33 J and 0.45 J caused again reduction of FFS (p=0.04;
p<0.01), while in 2014 and 2015 (Table 3) only 0.45 J result-
ed in the same effect (2014: p=0.04; 2015: p=0.02). In ‘Gala’
2014 (Figure 5), at ϐͲǤͶͷ
had a reducing effect on FFS in comparison to brf (p=0.05).
In 2015, treatments of 0.28 J and higher Ekinϐ
set at p=0.01 and p<0.01, respectively.
͵ǤϐǤThe sampling
date for laboratory analyses of fruit quality was set at the
commercial harvest date for direct marketing from the same
orchards. No correlation was found between crop load and
quality parameters except for fruit mass (Figures 4 and 5). In
Ǯǯǡ ϐ
equal or higher than 0.33 J in 2011, 2014 and 0.28 J in 2015
had a reduced crop load compared to brf, resulting in yield
losses (Figure 4; Table 3). In none of the trials thinning
showed a positive effect on fruit mass or percentage of mar-
ȋͶȌǤǮǯǡ ϐ
showed no reduction in yield in 2014, however, at 0.45 J av-
erage fruit mass was enhanced by 35.8 g (p=0.01) to 166.4 g
with an effect on percentage of marketable yield (p=0.01)
which reached 99.0%. In 2016, treatment with 0.39 J caused
reduction (p=0.02) of marketable yield by 5.4 kg per tree in
comparison to brf.
ͷǤȋαͲǤͳͷǡαͲǤʹ͵ǡαͲǤ͵͵ǡǦ
αͲǤͶͷȌȋȌǡȋȌǡȋȌǡ
ȋǡΨȌǣȋȌǣͷͲȂ͵ͷͲǡȋȌǣ͵ͷͳȂͲͲǡ
ȋȌǣͲͳȂͳǡͲͲͲȋȌǮǯȀͻʹͲͳͶǤ
ĎČĚėĊͷǤ Effect of thinning intensity (solid
lines = 0.15 J, dashed lines = 0.23 J, dotted
lines = 0.33 J, dash-dotted lines = 0.45 J) on
absolute crop load (CL in number of fruit per
tree), fresh mass (FM in g), total yield
(Y in kg), and percentage of marketable yield
(MY, ΨȌ ϐ ǣ
(A) low: 50–350, (B) medium: 351–600, and
(C) ǣͲͳȂͳǡͲͲͲϐȋȌǮǯȀͻ
in 2014.
ĆćđĊͶǤ Change of marketable yield (fruit size >65 mm) caused by mechanical thinning treatment in comparison to basic
ȋȌǮǯȀʹϐǤ
Year
Marketable yield
at brf
(kg)
Lowest treatment
causing yield reduction*
(J)
Reduction* of marketable
yield per tree
(kg)
Reduction of marketable
yield per ha
(t)
/RZÀRZHUVHW
2011 4.2 0.33 0.9 1.1
2014 3.9 0.33 1.3 1.4
2015 12.2 0.33 6.2 4.2
0HGLXPÀRZHUVHW
2011 7.4 No reduction 0 0
2014 10.2 No reduction 0 0
2015 14.5 0.45 5.1 5
+LJKÀRZHUVHW
2011 12.3 0.33 4 2.2
2014 10.9 0.45 1.5 1.5
2015 8.9 No reduction 0 0
*: Reduction of marketable yield in comparison to brf calculated as mean value from the total yield and percentage of marketable yield >65 mm
per tree.
V o l u m e 8 6 | I s s u e 1 | F e b r u a r y 2 0 2 1
95
ǤȁǦϐ
Ǯǯ ϐ ǡ
treatment with 0.33 J reduced crop load in 2011 and 0.45 J
in 2015, hence yield was reduced. In 2011, thinning at 0.33
increased fruit mass (p=0.03) by 14.6 g in comparison to
brf, however without effect on percentage of marketable
ȋͶȌǤʹͲͳͶǡǮǯϐ
responded to the treatment with 0.45 J (p<0.001) (Figure
5). Already at 0.33 J, fruit mass (p=0.04) was enhanced. At
0.45 J, average yield per tree was reduced with positive effect
on percentage of marketable yield (p<0.001), which was
enhanced by 20.7% to 97.5% (Figure 5). No effect was found
in 2015 and 2016.
ϐ ǡ ʹͲͳͳ
‘Elstar’ at 0.33 J (p<0.01) and 0.45 J (p=0.02) reducing
yield per tree with no effect on average fruit mass (Figure 4;
Table 4). At ϐǮǯʹͲͳͷ
0.45 J reduced crop load (p=0.02), while gaining fruit mass
(p=0.02) and increasing the marketable yield (p=0.004)
(Table 3). In ‘Gala’ 2014, only treatment with 0.45 J reduced
crop load (p=0.03) and percentage of marketable yield was
enhanced (p=0.001) to 99.3% (Figure 5). In 2015 and 2016,
ϐǡͲǤʹͺ J reduced crop load and yield per tree
in comparison to brf. Average fruit mass was not affected
by thinning treatment, as well as percentage of marketable
yield, which was already close to 100% at brf. Due to lack
of changes in the marketable yield, which was already high
in years 2015 and 2016, Tables 3 and 4 weren’t reproduced
for ‘Gala’.
Discussion
ϐ
and was described earlier (Bukovac et al., 2010; Stopar, 2010;
«ǤǡʹͲͳͶǢǤǡʹͲͳͶǢǤǡʹͲͳȌǤ
ǡ ϐ
ϐ
order to investigate the effect of thinning intensity for each
class separately. The size of the classes resulted from the
pragmatic approach to meet the requirements for statistical
ȋͳȌǤϐ
ϐȋǡʹͲͳͲȌǤ
ϐ
explained with the light terrain gradient within the orchard
causing spatial distribution of water availability (Moore et al.,
1993), nutrients supply (Aandahl, 1948), and occurrence of
frost (Weise, 1978). Since these factors have a known effect on
crop load (Powell, 1974; Hansen, 1980; Heinicke, 1917), they
ϐϐǡ
ϐ Ǥ ǡ
ϐ
slightly lower elevation showing stronger vegetative growth
assumingly due to late frost events. In cultivar ‘Elstar’, a higher
ϐ
to ‘Gala’, which was expected because ‘Elstar’ is known in
practice as biannual bearing cultivar. In order to achieve the
growth capacity, trees should bear approximately one apple
per 14–42 leaves (Haller and Magness, 1933; Preston, 1954;
Silbereisen, 1966; Hansen, 1969) depending on cultivar and
growth factors. Unpublished data of 2008 from the same
‘Elstar’ orchard showed that the leaf number per trees
ranged between 2,600 and 4,540. Under the assumption
that the necessary leaf number per fruit to produce a
marketable size is 30, the trees can hypothetically support
87–151 fruit. This huge variation points to spatial variation
in growth production target (PT) which was in average 117
Ǥϐ
crop load per tree should be slightly enhanced to the PT due
ϐǤ
‘Elstar’, the fruit drop resulted in crop loads slightly below
the PT. In ‘Gala’, on the other hand, a high percentage of
Ǥϐ
practice is time consuming, but necessary to conclude on
Ǥϐ
is required and can be performed with optical sensors and
ȋ« Ǥǡ ʹͲͳͶǢ
Ǥǡ ʹͲͳȌǤ ϐ
ϐ
ȋϐǤǡʹͲͳȌǡ
the thinning requests of individual trees are still rare.
ϐ
For comparing the effect of thinning treatments of
ǡ ϐ
regarding the variables of the devices and treatments. Most
ǡϐǡǡ
mass of the strings, the tractor speed, and the rotational
frequency. The formula developed by Zoth (2011) was
ϐ
to the driving direction as a separate factor, which also has an
effect on the kinetic energy, Ekinȋ͵ȌǤϐǡ
the average Ekin is emphasized, which is achieved in the
middle of the string. Ekin at different points of the string
varies, consistently according to the distance to the rotating
spindle (Figure 3). The Ekin is limited because it ignores the
frequency of hits per string in the turbulent application,
which is affected by the distance between the device and the
tree and the amount of strings of the device. Particularly, the
ϐϐ
(Kon et al., 2013), but more experiments are needed to test
linearity of various numbers of strings and resulting Ekin. For
this purpose the distance of the tractor to the tree row needs
to be included to calculate the size of the section of tree row
which one string possibly hits at one rotation and the depth
one string penetrates the canopy. This could be a helpful
tool for further optimization of the settings of the device
and additionally the shape of the canopy. Clearly visible
already with the present simple approach is the effect of the
length of one string, which explains the frequently observed
phenomenon in practice that used, worn-out strings demand
ϐ
new strings.
ϐǡǡ
Mechanical thinning is an effective measure for crop load
management in practice (Schröder, 1996; Bertschinger et
al., 1998; Damerow et al., 2007; Weibel et al., 2008; Schupp
et al., 2008; Kong et al., 2009; Solomakhin and Blanke,
2010; Hehnen et al., 2012; Kon et al., 2013; Sinatsch et al.,
2014; McClure and Cline, 2015; Beber, 2016; Lordan et al.,
2018). An overview about the settings of the devices and
ϐ
al. (2013). A model was developed by Lordan et al. (2018)
ϐ
ϐ
considering vehicle speed and rotational frequency. All
previous studies report a reduction of fruit set by means
ϐǦ
control. Few work was published on thinning intensity
ϐȋǡʹͲͳͲǢ
96 E u r o p e a n J o u r n a l o f H o r t i c u l t u r a l S c i e n c e
ǤȁǦϐ
et al., 2016) although spatial variation within orchards was
proved earlier (Manfrini et al., 2009; Aggelopoulou et al.,
ʹͲͳͲǡʹͲͳͳǢǤǡʹͲͳͲȌǤȋʹͲͳͲȌϐ
ϐ
assess the effect of varying thinning treatments. In the
present study, the spatial correlation was recognized by
means of semi-variograms (Crawley, 2013).
Results indicate an expected close relationship between
ϐϐǤϐǡ
drop was apparently reduced as pointed out earlier (Penzel
ǤǡʹͲʹͲȌǤǡϐ
(FFS) after varying thinning treatment should be carried
ϐǡ
which is a factor with a strong effect on FFS. Furthermore,
a positive correlation exists between mechanical thinning
ϐ
ϐǤ ϐǡ
was not necessary, because in none of the trials the
production target of 119 was realized. The 0.23 J treatment
showed no effect on FFS in comparison to brf. Consistently,
the fruit mass and percentage of marketable yield was hardly
ǡϐ
literature on mechanical thinning (Beber et al., 2016) and
chemical thinning (Greene, 1989; Stophar, 2010). Beber et al.
(2016) pointed out that thinning is not necessary to achieve
δͺͲϐǡ
δͶͲͲϐ
ϐϐǮǯǤ
thinning treatment further reduced FFS leading to absolute
yield losses. The cortex cell number is positively correlated
with fruit mass and thinning at full bloom is the optimum
ȋϐ Ǥǡ ͳͻͻͷȌǤ
However, in the present trials effect on fruit mass was
limited, since it can be assumed that the remaining fruit had a
ϐǡǤǡ
no effect of thinning treatments on fruit maturity was found
for trees with low crop load as previous studies suggested
(Volz et al., 1993; Wünsche and Ferguson, 2005) considering
ǡ ϐǡ
starch index.
ϐǡ
as PT of 119 in ‘Elstar’ was obtained in 2015 and ‘Gala’ in 2014
Ǥǡϐ
treatment was below the optimum and further reduced by
ηͲǤ͵͵ǮǯηͲǤ͵͵ ηͲǤͶͷ J,
depending on the year, in ‘Elstar’. However, the percentage of
marketable yield showed no increase in ‘Elstar’ considering
any year, pointing out that obviously a crop load equal
or lower than the PT will have no effect on percentage of
marketable yield. Though, average fruit mass of ‘Elstar’ 2011
was further enhanced by thinning treatments, which may
indeed have a positive effect on market value. In ‘Gala’, fruit
ϐǡ
percentage of marketable yield was enhanced only in 2014.
In the subsequent years the low fruit set resulted in high
percentage of marketable yield of >90% in all treatments.
ǡ ϐ
yield losses as the effect on quality was marginal. Maximum
ϐ
should be 0.23 J for the two cultivars.
ϐ
at brf (Sinatsch et al., 2014; McClure and Cline, 2015). For
‘Gala’ in 2014 treatment of 0.33 J was appropriate to reach
PT. Enhanced thinning treatment reduced fruit set heavily,
and fruit mass was increased with every fruit having a
marketable size. Lower thinning treatments resulted in crop
load exceeding PT with negative effect on fruit mass. Kon
(2013) reported for similar EkinǡηͲǤʹǡ
ϐǡǤ
ϐ
than in the present study because of the lower vehicle speed.
ǡ ȋʹͲͳͷȌ
vehicle speed was low. As compromise of thinning response
and tree damage, Kon (2013) suggested thinning at lower
rotational frequencies equaling 0.14 J or 0.20 J for ‘Gala’.
However, it was emphasized that these intensities may not
ϐ
the combination with other thinning methods. McClure and
Cline (2015) also reported no effect on fruit mass when
thinned up to 0.29 J at low vehicle speed, though marketable
yield was adequate already in the control.
In ‘Elstar’ 2011, treatment of 0.23 J reduced crop load
close to PT, though no effect on fruit mass was achieved.
This may have resulted from damage on spur leaves, which
was not further evaluated. In 2014, treatments of 0.23 J and
0.33 J provided the optimum thinning treatment in terms of
crop load, while in 2015 treatments >0.28 J and <0.45 J have
caused best results regarding crop load level and fruit mass
as crop load at applied treatments exceeded or underrun
Ǥǡϐ
‘Elstar’, 0.23 J and 0.33 J are adequate treatments to reduce
crop load. Sinatsch et al. (2014) suggested treatments of
0.19 J or 0.23 Ǯǯϐ
affecting fruit size and reducing biannual bearing.
In summary all treatments indicate that different levels
ϐ
for best thinning results. A model for thinning response
ϐ
high R2 as Lordan and co-workers (Lordan et al., 2018)
developed for two cultivars was not possible from the present
data. However, data indicate that tree adapted mechanical
thinning can decrease possible yield losses by over-thinning
ϐǤϐ
requires enhanced thinning intensity as crop loads possibly
ǤϐǦ
uniform mechanical thinning ranged from 1.4 t ha-1 – 4.2 t ha-1
in ‘Elstar’ in years 2011, 2014, 2015, and 2.6 t ha-1 – 7.6 t ha-1
in ‘Gala’ in 2014. Consequently, tree-adapted thinning is a
promising method to increase production volume without
increasing land consumption. When commercial systems
for tree-adapted thinning become available, the economic
aspect is crucial for the farmer.
Conclusion
ϐ
ϐ
ϐ
intensity. The concept of mechanical thinning considering the
ϐ
to reduce yield losses by over-thinning of trees with low
ϐǡͳǤͶȂͶǤʹ ha-1
in ‘Elstar’ and 2.6–7.6 t ha-1 in ‘Gala’. When commercially
available, this approach of precise management can
potentially balance spatial heterogeneity within orchards.
Acknowledgments
The authors acknowledge Dr. K. Gottschalk for his
expertise on developing the formula for calculating kinetic
energy of rotating strings and Dr. M. Schirrmann for his
support on the application of spatial statistic.
V o l u m e 8 6 | I s s u e 1 | F e b r u a r y 2 0 2 1
97
ǤȁǦϐ
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Received: May 23, 2019
Accepted: Apr. 6, 2020
Address of authors:
Martin Penzel1,2,ȗǡϐ2, Robin Gebbers2 and
Manuela Zude-Sasse2
1 Technische Universität Berlin, Chair of Agromechatronics,
Straße des 17. Juni 135, 10623 Berlin, Germany
2 Leibniz Institute for Agricultural Engineering and
Bioeconomy (ATB), Potsdam, Germany
* Corresponding author;
Tel.: +49-331-5699-915; Fax: +49-331-5699-849