Gamma Ray Application for Increasing Kemenyan Toba (Styrax
sumatrana) Seed Viability
Cut Rizlani Kholibrina
1
, Aswandi
1
and Arida Susilowati
2
1
Environment and Forestry Research and Development Institute of Aek Nauli. Jl. Raya Parapat Km 10,5. Simalungun,
North Sumatra
2
Faculty of Forestry, Universitas Sumatera Utara. Jl. Tridharma Ujung No.1 Kampus USU Medan, 20155
Keywords: Styrax, Seed, Germination, Viability, Gamma Ray.
Abstract: Kemenyan toba (Styrax sumatrana) is the identity trees for Tapanuli community in North Sumatra, Indonesia.
These non-timber forest products have been cultivated for generations. Over the past decade, the incense
productivity have been decreasing due to the lower interest of farmer to cultivate kemenyan. The another
reason also causing by longer germinate time so that the farmers difficulty obtaining high quality seedlings
for replanting the old unproductive trees. Accelerate germination time through improving seed viability and
genetic engineering were prospective ways for increasing kemenyan productivity. The objective of this research
was to determine the effectiveness of gamma irradiation techniques application for increasing the viability of Kemenyan toba seeds.
Randomized completely design, with 5 levels of radiation dose those were, control 0 Gy, 10 Gy, 20 Gy, 30
Gy, and 40 Gy with 4 replications was used in this research. The results showed that increasing the intensity of
irradiation shortens the germination time. The highest germination rate occurred on day 61 on the intensity of
irradiation 40 Gy whereas the control was day 197. The treatment of irradiation affected the germination.
However, increasing irradiation intensity decreasing the sprouting ability. On seeds without irradiation,
sprouting percentage reach an average of 83.8%. The germination rate was not different compared to the seeds
that received irradiation treatment with intensities of 10 and 20 Gy with sprout power of 75.0% and 57.5%. It
means that the low dose of gamma ray irradiation can be used to increase the viability and vigor of Kemenyan seeds.
1 INTRODUCTION
One of valuable non-timber forest product that has a
long history and become the main community
livelihood in Tapanuli region, North Sumatra is
Kemenyan rosin. Historically and economically this
commodity has been cultivated from Styrax spp trees
for a long time and is a major source of regional
income (Kholibrina et al., 2018). BPS Sumut (2018)
reported that incense production reaches 5,661.39
tons every year. It mean that if the price of incense at
the farmer level reaches Rp 200 thousand/kg, the
farmer will resulting around Rp1.2 trillion of income
every year from kemenyan forest management.
Although valuable comodity, the sustainability of
kemenyan production were constrain by some
problems. In the last decade, the population of
incense trees has declined due to logging and forest
conversion (Susilowati et al., 2018). The low
willingnes of farmer to replant their unproductive
trees also contribute the lower rosin production.
Furthermore, Styrax seed also takes a long time for
germinate. BPS North Sumatra (2018) states that
kemenyan rosin productivity has been decline from
6,060.89 tons/ha in 2008 to 5,661.39 tons/ha in 2017.
Therefore, it is necessary rapid effort to increase the
rosin productivity in North Sumatra, one of which by
improving seed quality.
The utilization of high quality seeds is the starting
point of a stand development and improving
kemenyan rosin quality. These efforts can be started
from the seed stage, through increasing seed viability
and vigor. Seed viability and vigor determine seed
quality both physically and physiologically. Seed
quality improvement can be conducted by gamma ray
irradiation techniques (Piri et al., 2011). Aplication
the irradiation techniques to improve vigor and seed
quality has been carried out on agricultural crops, but
in forest plant seeds are still limited (Iglesias-Andreu
et al., 2012). In trees species, the application of
gamma ray radiation at low doses can improve seed
germination and seedling growth (Iglesias-Andreu.,
20
Kholibrina, C., Aswandi, . and Susilowati, A.
Gamma Ray Application for Increasing Kemenyan Toba (Styrax sumatrana) Seed Viability.
DOI: 10.5220/0008387200200025
In Proceedings of the International Conference on Natural Resources and Technology (ICONART 2019), pages 20-25
ISBN: 978-989-758-404-6
Copyright
c
2019 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
2012; Akshatha et al., 2013). Chan & Lam (2002)
also reported that irradiation of papaya seeds with a
dose of 10 Gy increased the germination percentage
to 50%. Zanzibar & Witjaksono (2011) reported that
irradiation of Suren seeds (Toona sureni) using low
doses (5 Gy) able to increase the seedling growth rate.
The plant sensitivity to radiation treatment depends
on many factors, such as species or varieties, plant
parts and the radiation doses (Esnault 2010; de Micco
et al., 2011). The objective of this study was to
determine the effectiveness of gamma ray irradiation
techniques to increase the seed viability of Kemenyan
toba (Styrax sumatrana).
2 METHODS
The material of this research was kemenyan seeds,
and germination media. Kemenyan toba seeds for the
research was obtained from Humbang Hasundutan
district, North Sumatra Province. The gamma ray
irradiation dose used were 0 Gy (control), 10, 20, 30,
and 40 Gy. The Gamma irradiation was conducted at
the National Atomic Energy Agency (BATAN),
while seed viability and vigor testing were conducted
in greenhouse in Environment and Forestry Research
and Development Institute of Aek Nauli in Lake Toba
region, North Sumatra.
Randomized completely design with irradiation
dose treatments was used in this research. The treated
seeds was germinated in polybags 12x17cm in size
using sterilized mixture of soil sand media (1:1/v:v).
The number of seeds sown for five treatments with 4
replications and 20 observation units reached 400
seeds. Observation of germination is carried out every
day since being planted until no seeds germinate. The
observation variables include days of germination
which ae marked by the appearance of the radicles,
germination rate, seedling height, diameter, branches
and number of leaves. Data were analysed using
analysis of variance to determine variation between
treatments. If there were variations, the analysis was
continued with Duncan's Multiple Distance Test
(Duncan 's Multiple Range Test - DMRT).
3 RESULT AND DISCUSSION
The results of variance analysis for germination day,
germination rate, diameter and height’s seedlings,
branching and number of leaves on irradiated seeds
are shown in Appendix 1, Table 1 and Table 2.
Table 1: Analysis of variance for the observation variables
of duration and germination rate.
Treatments
Germination days
Germination rate
Control
197
a
83.75
a
10 Gy
102
b
(-48%)
75.00
a
(-10%)
20 Gy
68
b
(-65%)
57.50
ab
(-31%)
30 Gy
66
b
(-67%)
25.63
bc
(-69%)
40 Gy
61
b
(-69%)
4.15
c
(-96%)
The irradiation treatment affects the rate of
germination. Increasing the intensity of irradiation
shortens the germination time. Based on Table 1, the
normal seed (non treatment) starts the germination on
197
th
day. The shortest germination time occurred on
day 61 at the intensity of irradiation of 40 Gy, thus
reducing the germination time of 69% from normal
time. The 40 Gy dose also gives the highest seedling
high variable of 14.45 cm (Table 2). However, this
was not followed by an increase in germination rate
which decreased to 96%.
Table 2: Variance analysis for the seedling diameter, height,
branches and number of leaves.
Diameter
(mm)
Height*
Branches
Number of
leaves*
Control
34
a
157
a
2.3
a
10
ab
10 Gy
30
a
103
b
(-35%)
2.6
a
8
abc
(-26%)
20 Gy
29
a
105
b
(-33%)
2.2
a
6
c
(-38%)
30 Gy
29
a
116
ab
(-25%)
1.4
a
7
bc
(-34%)
40 Gy
35
a
145
ab
(-7.7%)
2.5
a
11
a
(5.33%)
Generally, application of gamma irradiation on
Kemenyan seeds provides two response those were:
supporting and inhibiting germination. The
irradiation treatment affects the speed of germination.
Increasing the intensity of irradiation will shortens
germination time. According to Zanzibar (2015), the
irradiation technique is an ionic process, when
ionizing radiation is absorbed into biological
material, the radiation will act directly on the critical
target cells or indirectly through the generation of
metabolites which can modify important cell
components. According to Luckey (1980) irradiation
at low doses can stimulate the physiological process
(radiostimulation) of plants through excitation or
known as hormesis. The influence of hormesis on
various agricultural crops species can provide a
positive or beneficial response (Luckey, 2003; Piri et
al., 2011).
The germination rate decreases with increasing
irradiation intensity. Based on Tukey HSD and
Duncan test, there were three groups of responses
(Table 1). On seeds without irradiation, percent
germinate reached 83.8%. The germination rate was
not different with another treatment (intensities of 10
Gamma Ray Application for Increasing Kemenyan Toba (Styrax sumatrana) Seed Viability
21
and 20 Gy with germination rate of 75.0% and
57.5%).
Increased doses of up to 40 Gy reducing sprouting
ability to 4.1% or decrease to 95.5% (Table 2).
Therefore, the dose for kemenyan seeds should be
lower than 40 Gy. Zanzibar (2015) states that the dose
level application and its effect on seed germination
varies for each species and genotype. But in general,
higher irradiation doses tend to inhibit germination.
Habba (1989) reported that an increase in irradiation
doses of up to 100 Gy increased seed germination
gradually, but then seed germination decreased with
increasing irradiation doses. A high irradiation dose
causes higher cell damage because the energy
released by gamma rays is quite large and penetrates
deeply. The amount of damage to cells cause’s lower
opportunities for survive (Hapsari, 2004). Wulandari
(2003) on Chrysanthemum found that increasing
gamma ray irradiation doses of 10, 15, 20 to 25 Gy
decreased the percentage of plant life.
The germination phase of all seeds shows a
natural response as well as germination of kemenyan
without irradiation (control). The new response can
be seen in the seedling phase which is marked by
changing the shape of the leaves to wavy to curly and
the large number of branches (Figure 1). Changes in
plant morphology are common and are most easily
seen from the irradiation of plants. The diversity due
to gamma ray irradiation is most commonly found in
leaf pinnate, both in terms of colour and shape. The
diversity of seedling morphology due to irradiation is
characterized by the occurrence of abnormalities or
malformations of plant organs. Hartati (2000) states
that irradiation treatment will cause cell damage or
inhibition of cell metabolism due to interference with
RNA synthesis so that the synthesis of enzymes
needed for growth is inhibited. This phenomenon
might be resulting enzyme to lose its function. The
irradiation treatment can cause enzymes that
stimulate growth to become inactive. Soeranto in
Herison (2008) states that the occurrence of
abnormalities in irradiated populations shows that
there have been changes at genomes level,
chromosomes, and DNA or genes that are very large
so that genetically controlled physiological processes
in plants become abnormal and cause variations in
new genetic variations. Abnormalities to plant
irradiation deaths are caused by the formation of free
radicals such as Ho, which are highly labile ions in
the reaction process due to irradiation. It resulting in
many collisions in various directions, which
consequently will make changes or mutations at the
DNA, cell and tissue levels and organs, even causing
death in plants. Abnormalities began to appear since
the leaves of the irradiated plants began to develop, at
47 HST. Abnormalities occur in the shape of leaves
in plants for all irradiation doses
Figure 1: The changes of the leaves shape and number of
branches.
Furthermore, irradiation affects the number of
leaves. The number of leaves in normal conditions
reaches an average of 10 sheets. The number of leaves
decreased after the seed was irradiated at an intensity
of 10 Gy to 8 sheets. But statistically the response of
the two treatments is the same. In seeds with
irradiation intensity of 20 and 30 Gy the number of
leaves decreases to 6 and 7 consecutive leaves. But
the increase in intensity to 40%, the number of leaves
increased to 11 sheets. Marcu et al (2012) on Lactuca
sativa plants, showed that the effective dosage for
increasing germination was not more than 30 Gy.
While at doses above 70 Gy, the vegetative part of
plant growth began decrease.
The irradiation treatment affects plant height. In
seeds without irradiation treatment, the response of
height reached 15.6 cm. At dose of 40 Gy the
response of the plants average height decreases to
14.45 cm. This high response is not statistically
different with the seeds with irradiation intensity 30
Gy. Conversely, irradiation treatment does not affect
stem diameter and number of branches.
ICONART 2019 - International Conference on Natural Resources and Technology
22
4 CONCLUSIONS
Our research point out that, increasing the intensity of
irradiation reducing the germination time from 197
days (without treatment) become 61 days (dose 40
Gy). Increasing irradiation intensity also decreasing
the sprouting ability from 83.8% (without treatment)
to 75.0% and 57.5% (dose 10 and 20 Gy). The
irradiation also affects the number of leaves. The
number of leaves was 10 sheets (without treatment)
but decreases after irradiated at an intensity of 10 Gy
to 8 sheets. The irradiation treatment also affects plant
height. But statistically the response of the two
treatments is the same. Conversely, irradiation
treatment does not affect stem diameter and number
of branches.
ACKNOWLEDGEMENTS
I would like to extend thanks to Wijaya Murti
Indriatama, Agriculture researcher on National
Atomic Energy Agency (PAIR BATAN).
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APPENDIX
ANOVA Germination days
Source
Sum of
Squares
Df
Mean
Square
F
Sig.
Corrected
Model
52483.5
a
4
13120.9
11.69
.000
Intercept
195881.
4
1
195881.4
174.59
.000
Perlakuan
52483.5
4
13120.9
11.69
.000
Error
16829.0
15
1121.9
Total
265193.
9
20
Corrected
Total
69312.6
19
a. R Squared = .757 (Adjusted R Squared = .692)
Post Hoc Tests of Germination days
Treatment
N
Subset
1
2
Tukey
HSD
a,b
5
4
61.2250
4
4
65.9250
3
4
68.4500
2
4
101.9500
1
4
197.2750
Sig.
.452
1.000
Duncan
a,b
5
4
61.2250
4
4
65.9250
3
4
68.4500
2
4
101.9500
1
4
197.2750
Sig.
.133
1.000
The error term is Mean Square(Error) = 1121.936.
a. Uses Harmonic Mean Sample Size = 4.000.
b. Alpha = 0.05.
ANOVA of Germination rate
Source
Sum of
Squares
df
Mean
Square
F
Sig.
Corrected
Model
21137.6
a
4
5284.4
7.7
.001
Intercept
52439.0
1
52439.0
76.4
.000
Perlakuan
21137.6
4
5284.4
7.7
.001
Error
10288.5
15
685.9
Total
83865.2
20
Corrected
Total
31426.2
19
a. R Squared = .673 (Adjusted R Squared = .585)
Post Hoc Tests of Germination rate
T
N
Subset
1
2
3
Tukey
HSD
a,b
5
4
4.1500
4
4
25.6250
25.6250
3
4
57.5000
57.5000
57.5000
2
4
75.0000
75.0000
1
4
83.7500
Sig.
.073
.107
.331
Duncan
a,b
5
4
4.1500
4
4
25.6250
25.6250
3
4
57.5000
57.5000
2
4
75.0000
1
4
83.7500
Sig.
.264
.106
.082
Means for groups in homogeneous subsets are displayed.
Based on observed means.
The error term is Mean Square(Error) = 685.900.
a. Uses Harmonic Mean Sample Size = 4.000.
b. Alpha = 0.05.
ANOVA of Diameter
Source
Sum of
Squares
df
Mean
Square
F
Sig.
Corrected
Model
1.228
a
4
.307
1.398
.282
Intercept
198.671
1
198.671
905.224
.000
Perlakuan
1.228
4
.307
1.398
.282
Error
3.292
15
.219
Total
203.190
20
Corrected
Total
4.520
19
a. R Squared = .272 (Adjusted R Squared = .077)
ICONART 2019 - International Conference on Natural Resources and Technology
24
ANOVA of Height
Source
Sum of
Squares
df
Mean
Square
F
Sig.
Corrected
Model
93.973
a
4
23.493
3.220
.043
Intercept
3125.625
1
3125.625
428.430
.000
Perlakuan
93.973
4
23.493
3.220
.043
Error
109.433
15
7.296
Total
3329.031
20
Corrected
Total
203.406
19
a. R Squared = .462 (Adjusted R Squared = .319)
Post Hoc Tests of Height
T
N
Subset
1
2
Tukey
HSD
a,b
2
4
10.2500
3
4
10.5250
4
4
11.6250
5
4
14.4500
1
4
15.6562
Sig.
.080
Duncan
a,b
2
4
10.2500
3
4
10.5250
4
4
11.6250
11.6250
5
4
14.4500
14.4500
1
4
15.6562
Sig.
.060
.063
The error term is Mean Square(Error) = 7.296.
a. Uses Harmonic Mean Sample Size = 4.000.
b. Alpha = 0.05.
Table ANOVA of Number of Leaves
Source
Sum of
Squares
df
Mean
Square
F
Sig.
Corrected
Model
67.022
a
4
16.755
3.271
.041
Intercept
1409.521
1
1409.521
275.127
.000
Perlakuan
67.022
4
16.756
3.271
.041
Error
76.848
15
5.123
Total
1553.390
20
Corrected
Total
143.869
19
a. R Squared = .466 (Adjusted R Squared = .323)
Table Post Hoc Tests of Number of Leaves
T
N
Subset
1
2
3
Tukey
HSD
a,b
3
4
6.3750
4
4
6.8500
2
4
7.6000
1
4
10.3000
5
4
10.8500
Sig.
.085
Duncan
a,b
3
4
6.3750
4
4
6.8500
6.8500
2
4
7.6000
7.6000
7.6000
1
4
10.3000
10.3000
5
4
10.8500
Sig.
.480
.058
.072
The error term is Mean Square(Error) = 5.123.
a. Uses Harmonic Mean Sample Size = 4.000.
b. Alpha = 0.05.
ANOVA of Number of Branch
Source
Sum of
Squares
df
Mean
Square
F
Sig.
Corrected
Model
3.282
a
4
.821
1.485
.256
Intercept
96.141
1
96.141
173.972
.000
Perlakuan
3.282
4
.821
1.485
.256
Error
8.289
15
.553
Total
107.713
20
Corrected
Total
11.571
19
a. R Squared = .284 (Adjusted R Squared = .093)
Gamma Ray Application for Increasing Kemenyan Toba (Styrax sumatrana) Seed Viability
25