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Int. J. Agri. & Agri. R.
Daryaei
Page 1
RESEARCH PAPER OPEN ACCESS
Effect of planting pattern, plant density and integration of
zeoponix and chemical fertilizer (urea) on sunflower yield and
yield components
Faezeh Daryaei
Department of Agriculture, University of Payam Noor, Qom, Iran
Article published on December 20, 2015
Key words: Planting pattern, Plant density, Zeoponix, Sunflower, yield and yield components.
Abstract
An experiment was conducted to evaluate the effect of planting pattern, plant density and integration of zeoponix
and chemical N fertilizer (urea) on sunflower yield and yield components. The experimental design was analyzed
as factorial based on randomized complete block with three replications. Treatments consisted of 3 factors which
are different crop densities, including 2 levels. The population of plants was including 5 plants m–2 (d1) and 8
plants m–2 (d2). The second factor was planting patterns which were included twin rectangular rows (A1) and
twin zigzag rows (A2). Different fertilizing treatments were selected as third factor consisted of the sole
application of zeoponix (f1) and chemical fertilizer urea (f3), and integration of 50%zeoponix +50% chemical
fertilizer urea (f2), that were at 3 levels. Results showed that there were significant differences in interaction of
planting pattern, plant density and fertilizing system on plant height, stalk diameter, biologic yield, seed yield,
number of seeds per head, 1000 seed weight, seed oil content and oil yield, protein content and protein yield and
harvest index. LSD test for means of these traits showed that zigzag arrangement × plant population of 8 plants
m–2 × 100% zeoponix (a2d2f1) treatment had the best performance and could be recommended to farmers for
sunflower cultivation.
* Corresponding Author: Faezeh Daryaei  f.daryaei@gmail.com
International Journal of Agronomy and Agricultural Research (IJAAR)
ISSN: 2223-7054 (Print) 2225-3610 (Online)
http://www.innspub.net
Vol. 7, No. 6, p. 1-11, 2015
Int. J. Agri. & Agri. R.
Daryaei
Page 2
Introduction
Sunflower (Helianthus annuus L.) is one of the most
widely edible oilseed crops in the world. It was
reported that, approximately around 80% of oilseed
for human food is imported in Iran (Zarea et al.,
2005), so increasing sunflower production is a
priority option to reduce this deficit. Adequate plant
density and a planting pattern with optimum spatial
arrangement (equidistant is superior) are important
cultural factors that increase radiation interception
and yield production. Changing planting patterns
from rectangular into zigzag arrangement decreases
plant-to-plant competition for radiation interception
and biomass production (Bullock et al., 1988;
Andrade et al., 2002). Sunflower yield (Andrade et
al., 2002) and soybean yield (Duncan, 1986; Ikeda
and Sato, 1992) increased in response to sowing
distance between and on the rows. When row spacing
is reduced, light interception increases. There are
times during the crop cycle that are most critical for
yield determination. These times comprise the period
bracketing flowering in sunflower (Chimenti and
Hall, 1992, Connor and Sadras, 1992; Cantagallo et
al., 1997). Therefore, the response of grain yield to
narrow rows can be analyzed in terms of the effect on
the amount of radiation interception at the critical
periods for kernel set. Higher crop growth rates
during these periods may not be achieved with wide
rows (Andrade et al., 2002). Increase in light
interception by reducing row spacing has been
reported for corn (Egharevba, 1975; Flenet et al.,
1996; Andrade et al., 2002), sorghum (Clegg et al.,
1974; Graham et al., 1988; Muchow et al., 1990;
Flenet et al., 1996), soybean (Mason et al., 1980;
Boared et al., 1990; Andrade et al., 2002) and
sunflower (Flenet et al., 1996; Andrade et al., 2002).
In recent times, concerns about unbalanced use of
fertilizers leading to environmental pollution which
have been globally expressed. As a result, studies on
how to use efficient methods to reduce nutrient
applications at the same time increasing or
maintaining crop yield, reducing nutrient losses and
improving nutrient use efficiency are imperative
(Oosterhuis and Howard, 2008). In this regard,
inclusion of zeolites in fertilizers management for
agriculture is essential as besides serving as soil
conditioner (including soil fertility improvement),
zeolites have the potential to increase crop yield
(Valente et al., 1982; Noori et al., 2006).
Zeolite has been used in agriculture for decades
around the world. Farmers in Japan have been using
zeolite since 1965 as a dietary supplement for
livestock and as a soil amendment for sandy, clay
poor soils. Zeolite is an amazing natural mineral
because of its extraordinary ability to absorb, hold,
release, and exchange different chemicals, nutrients
and ions according to need. Zeolite is a naturally
occurring hydrated sodium potassium calcium
alumino silicate (of the subtype clinoptilolite) which
was formed from the glass component of volcanic ash
millions of years ago. Zeolite is a mineral with
infinite, three-dimensional, honeycomb like channels
that allow it to lose and gain water reversibly.
Zeolite is a natural super porous mineral. It carries a
negative charge balanced by freely moving cations
with positive charges. This provides an ideal trap for
positive cations like nitrogen rich ammonium and
potassium which are then released when demanded
by plants. Thus, zeolite could be used as fertilizers,
stabilizers and chelators (Kapetanios and Loizidou,
1992; Perez-Caballero et al., 2008). A study showed
that zeolites enable both inorganic and organic
fertilizers to slowly release their nutrients (Perez-
Caballero et al., 2008).
Zeoponix is zeolite, which is used in poultry bed
because of water, urea, NH4 and ion absorption. After
the end of chicken breeding, zeoponix can be
collected and be used as biological manure in
agriculture. The objective of this study was to
investigate if the use of inorganic fertilizers together
with zeolite changing planting pattern and plant
density will improve nutrient uptake and
consequently yield and yield components of
sunflower.
Materials and methods
Int. J. Agri. & Agri. R.
Daryaei
Page 3
Field experiment
An experiment was conducted to evaluate the effect of
planting pattern, plant density and integration of
zeoponix and chemical N fertilizer (urea) on
sunflower yield and yield components at the
Experimental Farm of ‘Tarbiat Modares University in
2010, Tehran, Iran.
Hybrid belizar sunflower seeds were handplanted on
27 June 2010 on sandy soil. The zone was located in
16th Km of Tehran – Karaj highway and lies between
35ο 44‫׳‬ N latitude and 51ο 10‫׳‬ E longitude and 1352 m
above sea levels. The region is characterized as semi-
arid, with mean annual precipitation of 250 mm,
which mostly falls during the autumn and winter
months. Daily meteorological data on precipitation
and air temperature were obtained from the nearest
weather station (500 m from the experimental site)
(Fig. 1). The means of the temperature and relative
humidity during the experimental period were close
to the mean of the same long period. Before planting,
several soil samples were taken at depths of 0–30 and
30–60 cm, composite samples were collected, air-
dried, crushed, and tested for physical and chemical
properties (Table 1).
The experimental design was analysed as factorial
based on randomized complete block with three
replications. Sunflower was sown with 50000 and
80000 plant per hectare density on 27 June, 2010.
The seeds were sown at a rate of three to four seeds in
shallow holes at a depth of 5 cm and firmly covered.
Prior to V4 [V (number) Vegetative Stages (i.e. V-1, V-
2, V-3, etc.). These are determined by counting the
number of true leaves at least 4 cm in length,
beginning as V-1, V-2, V-3, V-4, etc. (Schneiter and
Miller, 1981)] they were thinned to one stand (25 d
after emergence). The experimental treatments
consisted of 3 factors which are different crop
densities including 2 levels. The population of plants
was including 5 plants m–2 (d1) and 8 plants m–2 (d2).
The second factor was planting patterns which were
including twin rectangular rows with 75 cm between
the rows (A1) and twin zigzag rows (A2) with 75 cm
between the rows. (Table 3 and Fig. 1). Different
integrated fertilizing treatments were selected as third
factor consisted of the sole application of zeoponix
(5752 Kg/ha) (f1) and chemical fertilizer, urea (283
Kg/ha) (100%) (f3) based on as sunflower pure
nitrogen need in accordance with the results of soil
analyses (130 Kg/ha nitrogen), and integration of
50%zeoponix (2876Kg/ha)+50% chemical fertilizer
urea (142 Kg/ha) (f2), that were in 3 levels. Zeoponix
was applied before planting prior to zeoponix
analysis. Chemical fertilizer urea was applied in 2
times; half amount of it applied before planting and
the remained half at the beginning of reproductive
stage R1 (Schneiter and Miller, 1981)] during the
irrigation.
Weeds were removed by hoeing as needed and no
problems with diseases or insects occurred. Plots
were flood-irrigated according to sunflower need.
Sunflower seeds were sown in plots with 4 rows which
were 4 meters in both sides of 75 cm furrows.
Laboratorial experiment
To determine sunflower seed yield and yield
components, 5 plants were selected randomly with
regard of marginal effect during seed physiological
ripening. Parameters including plant height, stalk
diameter, head diameter, number of seed per head,
1000 seed weight, seed yield, biologic yield and
harvest index were measured. Sunflower seed oil was
extracted with petroleum ether using Soxhlet
instrument (AOAC, 1990). The seed protein content
was estimated using the Kjeldahl method described in
AOAC (1984). This method involves protein digestion,
distillation and determination of % nitrogen content
of the distillate by titration and then multiplying the
% nitrogen by a factor of 6.25 to obtain the
corresponding protein content in %. Statistical
analyses were carried out using SAS software
(Statistical Software, SAS institute, 2002), and the
mean values were classified by LSD test.
Result and discussion
Vegetative growth
Sunflower plant height, stalk diameter and biologic
yield were the parameters measured to show
Int. J. Agri. & Agri. R.
Daryaei
Page 4
vegetative growth. Result showed that there was no
significant difference in plant arrangement and plant
density on sunflower height and plant arrangement
on biologic yield. however, there was significant
difference in interaction of planting pattern, plant
density and fertilizing system on plant height, stalk
diameter and biologic yield (P < 0.05) (Tab. 4).
Maximum plant height and stalk diameter were
achieved at a zigzag arrangement × plant population
of 8 plants m–2 × 100% zeoponix (a2d2f1) treatment
(Tab. 4). However, maximum biologic yield was
observed in twin rectangular arrangement × plant
population of 5 plants m–2 × 50% zeoponix+50%
chemical fertilizer (a1d1f2) and zigzag arrangement ×
plant population of 5 plants m–2 × 100% zeoponix
(a2d1f1).
Table 1. Physical soil properties of experimental research farm.
Depth
(cm)
Sand
(%)
Lime
(%)
Clay
(%)
Texture Field
Capacity(%)
Available
Water(%)
(g/cm3) PH
0 - 30 69 20 11 Sandy loam 21 12 1.45 7.5
Table 2. Chemical properties of zeoponix.
N
(%)
P
(%)
K
(%)
Fe
P.P.M.
Zn
P.P.M.
Cu
P.P.M.
Mn
P.P.M.
B
P.P.M.
2.26 1.05 0.9 850 160.8 40.05 225.2 19.45
This finding might be explained by decreasing the
plant-to-plant competition for available water,
nutrient and light in zigzag arrangement, more plant
production by having more plant density and more
frequent nitrogen ion decomposition and release from
organic fertilizer can cause better plant performance.
From several plant population studies (Goubbels and
Dedio, 1990), it was shown that a population of 7.4
plants m–2 produced higher yield in sunflower than
5.5 plants m–2. Other researchers demonstrated that
as plant population of sunflower is increased from
low to high, the flowering stage was delayed, plant
height increased, the plants lodged more, and seed
size, head and stalk diameter decreased (Vranceanu et
al., 1982; Fick et al., 1985).
Table 3. Treatments of planting patterns, number of rows sowing, planting densities (plants m–2), distance
between of plant on rows sowing (cm) and between rows (cm).
Between rows (cm) Distance between plants
in rows (cm)
Planting densities
(plants m–2)
Number of
Rows sowing
Planting
patterns
75 44 5 2 Twin
rectangular row
75 33 8 2 Twin
rectangular row
75 44 5 2 Twin zigzag
row
75 33 8 2 Twin zigzag
row
Reproductive growth
Seed yield and yield components
There was significant difference in main factors and
interaction of planting pattern, plant density and
fertilizing system on sunflower seed yield (P < 0.05)
(Tab. 5). Maximum seed yield was achieved at a
zigzag arrangement × plant population of 8 plants m–
2 × 100% zeoponix (a2d2f1) treatment (Tab. 5). Zarea
Int. J. Agri. & Agri. R.
Daryaei
Page 5
et al. (2005) reported that plant densities, planting
patterns and plant densities × planting pattern had a
significant effect on sunflower yield. They mentioned
that yield tended to increase in twin zigzag rows at the
rate of 8 plants m–2. The periods bracketing flowering
in sunflower (Chimenti and Hall, 1992; Connor and
Sadras, 1992; Cantagallo et al., 1997) are times during
the crop cycle that the assimilates which are most
critical in yield determination. Sunflower yield
increase in response to narrow rows is closely related
to the improvement in light interception during the
critical period for grain set (Andrade et al., 2002).
Table 4. Means comparison of defined characters by LSD test at the 5% level.
Treatment Height(cm) Stalk diameter(cm) Biologic yield(Kg/ha)
Planting arrangement
A1 152.25a 2.47b 17328a
A2 156.72a 2.88a 17849a
Planting density
D1 152.250a 2.47b 24084a
D2 156.722a 2.88a 11093b
Fertilizing system
F1 157.333ab 2.89a 19575a
F2 158.250a 2.84a 21880a
F3 147.875b 2.29b 11311b
C.V.(%) 7.64 18.1 29.3
Interaction
A1D1F1 156.167bcd 2.5bcd 21150bc
A1D1F2 154.833bcd 2.33cd 39029a
A1D1F3 150.167bcd 2.04d 13854cd
A1D2F1 157bc 2.72bcd 10985d
A1D2F2 153.667bcd 3.09abc 10648d
A1D2F3 141.667cd 2.16d 8303d
A2D1F1 136.500d 2.5bcd 33333a
A2D1F2 156.5bc 2.76bcd 24367b
A2D1F3 151.667bcd 2.58bcd 12772cd
A2D2F1 179.667a 3.66a 12833cd
A2D2F2 168ab 3.18ab 13475cd
A2D2F3 148cd 2.4bcd 10313d
Different letter indicate the significant difference (p ≤ 0.05) among treatments.
Using organic fertilizers provide phosphorus and
nitrogen and along with micronutrients for plants.
Also, applying the organic manure increase soil
organic matter and improve soil conditions for plant
growth (Gholamhosseini et al., 2013). Khodami
Abasiyeh (2003) showed that use of organic fertilizer
increased available phosphorus, potassium,
magnesium and sulfur for plant. Moreover, organic
fertilizers with improving soil physical properties
provided suitable conditions for root development
(Oue’draogo et al., 2001). Many researchers have
reported that manure application has positive effects
on the physicochemical properties of soil and
improves crop yields (Basso and Ritchie, 2005;
Herenica et al., 2007; Bhattacharyya et al., 2008;).
Additionally, it seems that adding zeolite to fresh
manure prevents the N loss from the soil due to
absorption and subsequent release of the N by the
zeolite. In this way, zeoponix can act as a slow-release
fertilizer to supply N to the crop gradually.
Int. J. Agri. & Agri. R.
Daryaei
Page 6
Gholamhosseini et al. (2013) showed that integrated
treatments with zeolite increased sunflower yield. It
appears the sunflower yield increase for zeoponix
treatments resulted from a proper balance between
available soil and plant N requirements. In early
growth stages, during which the crop nutrition
requirements are low, soil N concentrations in the
100% zeoponix and 50%zeoponix+50%chemical
fertilizer treatments were lower than in 100%
chemical fertilizer treatments, but due to the gradual
release of N from zeoponix, N availability lasted
longer in those treatments and resulted in higher N
availability during the reproductive stage. Reductions
in soil bulk density, increased in soil water retention
capacity (Gholamhosseini et al., 2013) and enhanced
of soil microbial activities (Daryaei et al., 2010) due
to application of zeoponix can also account for yield
increases.
Number of seed per head and 1000 seed weight
There was significant difference in interaction of
planting pattern, plant density and fertilizing system
on number of seed per head and 1000 seed weight (P
< 0.05) (Tab. 5).
Table 5. Means comparison of defined characters by LSD test at the 5% level.
Treatment Head diameter(cm) Number of seeds per head 1000 seed weight(g) Seed yield(Kg/ha) HI(%)
Planting arrangement
A1 18.9b 978.43b 76.354b 3283.6b 24b
A2 20.3a 1084.59a 90.155a 4193.1a 28a
Planting density
D1 17.7000b 980.43b 70.213b 3510.4b 17b
D2 21.5069a 1082.59a 96.296a 3966.2a 35a
Fertilizing system
F1 20.5146a 1088.59a 97.220a 4146.9a 26.4a
F2 19.7125ab 1096.38a 78.969b 3841.2a 23.6b
F3 18.5833b 909.57b 73.575b 3226.9b 29a
C.V.(%) 9.77 13.15 9.13 9.99 12.17
Interaction
A1D1F1 17.767cd 1042.7b 62.620f 3131.0de 14.74d
A1D1F2 17.067d 1052.8b 67.447ef 3372.3de 10.39d
A1D1F3 17.833cd 966.7b 69.667ef 3483.3cde 25.97c
A1D2F1 22.167ab 1041.5b 113.975b 4018.7c 36.58b
A1D2F2 20.583bc 1038.8b 78.810de 3579.0cde 33.71b
A1D2F3 18cd 728.1c 65.607f 2117.0f 25.53c
A2D1F1 17.583cd 860.3bc 79.230de 3961.5cd 11.93d
A2D1F2 17.867cd 1009.4b 71.953ef 3597.7cde 14.72d
A2D1F3 18.083cd 950.7bc 70.362ef 3516.7cde 28.03c
A2D2F1 24.542a 1409.8a 133.053a 5476.3a 42.69a
A2D2F2 23.333ab 1284.6a 97.667c 4815.7b 35.73b
A2D2F3 20.417bc 992.8b 88.667cd 3790.7cd 36.74b
Different letter indicate the significant difference (p ≤ 0.05) among treatments.
Maximum number of seed per head and 1000 seed
weight were achieved at a zigzag arrangement × plant
population of 8 plants m–2 × 100% zeoponix (a2d2f1)
treatment (Tab. 5).
Zarea et al. (2005) showed that maximum thousand
sunflower seed weight was achieved at a plant
population of 6 plants m–2 and planting at the higher
rate (8 and 10 plants m–2) resulted in reducing
thousand seed weight. This result is in inconformity
with ur research. It may probably that in plant density
more than 8 plant per m-2 competition during grain
filling is more severe which is caused lighter seeds in
comparison to lower plant density. It could be
Int. J. Agri. & Agri. R.
Daryaei
Page 7
concluded that 8 plant density per m-2 is the most
appropriate in sunflower cultivation. In our study,
decreasing the plant-to-plant competition for
available water, nutrient and light increases seed
weight and seed number per head in zigzag
arrangement, are probably caused this result.
Seed oil and protein yield
There were significant difference in main factors and
interaction of planting pattern, plant density and
fertilizing system on seed oil content and oil yield,
protein content and protein yield (P < 0.05) (Tab. 6).
Maximum seed oil content and seed oil yield were
found in the a2d2f2 and a2d2f1 treatments. These
results showed that mixing natural zeolite, with
chicken manure carries a negative charge balanced by
freely moving cations with positive charges. This
provides an ideal trap for cations such as NH4+,
which are then released when required by plants.
Natural zeolite has a very open framework with a
network of pores that provide a large surface area for
trapping and exchanging valuable nutrients.
Therefore, greater frequent N availability appears to
have caused an increase in photosynthetic products
and consequently seed oil yield. The founding is
supported by the result of Gholamhosseini et al.
(2013). In the other hand, zigzag arrangement and 8
plants m–2 cause higher seed oil yield (Tab. 6).
Table 6. Means comparison of defined characters by LSD test at the 5% level.
Treatment Seed oil content(%) Seed protein content(%) Seed oil yield(Kg/ha) Seed protein
yield(Kg/ha)
Planting arrangement
A1 47.1974b 18.5978a 1512.78b 615.18b
A2 47.1974a 18.2100a 1984.62a 762.71a
Planting density
D1 45.6900b 16.4206b 1606.30a 577.59b
D2 47.5413a 20.3872a 1891.10a 800.30a
Fertilizing system
F1 46.4411ab 17.1308b 1923.26a 726.53a
F2 47.2892a 21.1092a 1825.94a 653.69a
F3 46.1167b 16.9717b 1496.90b 686.61a
C.V.(%) 2.7 10.09 7.69 13.15
Interaction
A1D1F1 43.063d 1341.0d 13.153d 417.42f
A1D1F2 45.38c 1538.4cd 15.430cd 522.75ef
A1D1F3 46bc 1602.3cd 20.333b 708.33cd
A1D2F1 47.483abc 1907.9b 20.957b 844.68bc
A1D2F2 47.246bc 1691bc 21.523b 770.23bc
A1D2F3 47.031bc 996.1e 20.190bc 427.63f
A2D1F1 46.220bc 1832.2bc 13.503d 531.14ef
A2D1F2 47.010bc 1688.9bc 16.337c 590.88de
A2D1F3 46.467bc 1635bcd 19.767b 695cd
A2D2F1 47.7ab 2612a 20.273b 1112.89a
A2D2F2 49.521a 2385.5a 15.233cd 730.90cd
A2D2F3 46.267bc 1754.2bc 24.147a 915.46b
Different letter indicate the significant difference (p ≤ 0.05) among treatments.
Robinson et al. (1980) reported that equidistant
planting patterns cause higher yield and seed oil yield
in sunflower. Gubbels and Dedio (1990) reported that
with increased planting density, seed oil yield was
increased.
Among all treatments, maximum seed protein content
were obtained with a2d2f3 (24.147 kg ha_1). However,
Int. J. Agri. & Agri. R.
Daryaei
Page 8
seed protein yield was higher in a2d2f2 and a2d2f1
treatments. (Tab. 6). Chemical fertilizer urea which
was applied during flowering stage, is used for grain
filling. Whereas, organic fertilizer decomposition
provides nutrients gradually and frequently during
plant growth. Absence of soil amendments in sandy
soil cause nitrate leaching (Gholamhosseini et al.,
2013). In this regard, effect of organic fertilizer
application on nitrate leaching has been evaluated by
several researchers, Gholamhosseini et al. (2013)
demonstrated that composted manure+zeolite
reduced nitrate leaching. These nutrients is using in
plant biomass instruction such as roots, stems and
leaves and thus, seed protein content of those
sunflowers which was received organic fertilizer and
integration of chemical and organic fertilizers, were
significantly less than those received sole chemical
fertilizer urea. In general, ready to absorb nitrate ions
in urea fertilizer are freely mobile in phloem sap and
uptake during grain filling and supply as seed protein
content. Consequently, it seems that the application
of sole chemical fertilizer increased seed protein
content because of ready to absorb nitrate ions in
urea fertilizer. However, higher number of seed per
head and 1000 seed weight of zigzag arrangement ×
plant population of 8 plants m–2 × 100% zeoponix
(a2d2f1) treatment compensated the lower protein
content in these treatments and therefore protein
yield was increased. High protein content in
sunflower is negative trait because it causes
difficulties in seed oil extraction.
Fig. 1. Schematic shapes of planting patterns which used in experimental treatments.
Harvest index
Harvest index (HI) was significantly affected by the
main factors and interaction of plant arrangement,
plant density and fertilizing system (Table 5). LSD
test for means showed that zigzag arrangement ×
plant population of 8 plants m–2 × 100% zeoponix
(a2d2f1) treatment had the highest HI (Tab. 5).
Reduction of N leaching in the presence of natural
zeolite, increases plant-available N and consequently
increases N use efficiency. Higher N use efficiency can
not only alleviate environmental pollution but also
enhance crop yield and harvest index. In addition, in
commercial sunflower production, higher plant
populations are recommended for sunflower when
the grower wants to achieve optimum seed yield
performance and harvest index (Sitzer, 2010). In
general, the factors increasing the crop productivity,
will inhance HI.
Conclusion
On the basis of present findings it is concluded that
for obtaining a higher sunflower yield and yield
components and oil yield should be sown in zigzag
arrangement × plant population of 8 plants m–2 ×
100% zeoponix (a2d2f1) treatment. The greater light
interception and more frequent availability of
Int. J. Agri. & Agri. R.
Daryaei
Page 9
nutrients in zeolite-based fertilizing treatments led to
greater suppression of late-emerging weeds and well-
grown sunflowers; therefore, selection of appropriate
planting patterns and plant densities along with
organic fertilization could be an option for farmers to
produce a higher sunflower yield in sustainable
agriculture and reduction of chemical fertilizer
application which decrease environmental problems.
Acknowledgment
The author is thankful to Tarbiat Modares University
(TMU) Iran for financial support to complete this
project.
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Effect of planting pattern, plant density and integration of zeoponix and chemical fertilizer (urea) on sunflower yield and yield components

  • 1. Int. J. Agri. & Agri. R. Daryaei Page 1 RESEARCH PAPER OPEN ACCESS Effect of planting pattern, plant density and integration of zeoponix and chemical fertilizer (urea) on sunflower yield and yield components Faezeh Daryaei Department of Agriculture, University of Payam Noor, Qom, Iran Article published on December 20, 2015 Key words: Planting pattern, Plant density, Zeoponix, Sunflower, yield and yield components. Abstract An experiment was conducted to evaluate the effect of planting pattern, plant density and integration of zeoponix and chemical N fertilizer (urea) on sunflower yield and yield components. The experimental design was analyzed as factorial based on randomized complete block with three replications. Treatments consisted of 3 factors which are different crop densities, including 2 levels. The population of plants was including 5 plants m–2 (d1) and 8 plants m–2 (d2). The second factor was planting patterns which were included twin rectangular rows (A1) and twin zigzag rows (A2). Different fertilizing treatments were selected as third factor consisted of the sole application of zeoponix (f1) and chemical fertilizer urea (f3), and integration of 50%zeoponix +50% chemical fertilizer urea (f2), that were at 3 levels. Results showed that there were significant differences in interaction of planting pattern, plant density and fertilizing system on plant height, stalk diameter, biologic yield, seed yield, number of seeds per head, 1000 seed weight, seed oil content and oil yield, protein content and protein yield and harvest index. LSD test for means of these traits showed that zigzag arrangement × plant population of 8 plants m–2 × 100% zeoponix (a2d2f1) treatment had the best performance and could be recommended to farmers for sunflower cultivation. * Corresponding Author: Faezeh Daryaei  f.daryaei@gmail.com International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub.net Vol. 7, No. 6, p. 1-11, 2015
  • 2. Int. J. Agri. & Agri. R. Daryaei Page 2 Introduction Sunflower (Helianthus annuus L.) is one of the most widely edible oilseed crops in the world. It was reported that, approximately around 80% of oilseed for human food is imported in Iran (Zarea et al., 2005), so increasing sunflower production is a priority option to reduce this deficit. Adequate plant density and a planting pattern with optimum spatial arrangement (equidistant is superior) are important cultural factors that increase radiation interception and yield production. Changing planting patterns from rectangular into zigzag arrangement decreases plant-to-plant competition for radiation interception and biomass production (Bullock et al., 1988; Andrade et al., 2002). Sunflower yield (Andrade et al., 2002) and soybean yield (Duncan, 1986; Ikeda and Sato, 1992) increased in response to sowing distance between and on the rows. When row spacing is reduced, light interception increases. There are times during the crop cycle that are most critical for yield determination. These times comprise the period bracketing flowering in sunflower (Chimenti and Hall, 1992, Connor and Sadras, 1992; Cantagallo et al., 1997). Therefore, the response of grain yield to narrow rows can be analyzed in terms of the effect on the amount of radiation interception at the critical periods for kernel set. Higher crop growth rates during these periods may not be achieved with wide rows (Andrade et al., 2002). Increase in light interception by reducing row spacing has been reported for corn (Egharevba, 1975; Flenet et al., 1996; Andrade et al., 2002), sorghum (Clegg et al., 1974; Graham et al., 1988; Muchow et al., 1990; Flenet et al., 1996), soybean (Mason et al., 1980; Boared et al., 1990; Andrade et al., 2002) and sunflower (Flenet et al., 1996; Andrade et al., 2002). In recent times, concerns about unbalanced use of fertilizers leading to environmental pollution which have been globally expressed. As a result, studies on how to use efficient methods to reduce nutrient applications at the same time increasing or maintaining crop yield, reducing nutrient losses and improving nutrient use efficiency are imperative (Oosterhuis and Howard, 2008). In this regard, inclusion of zeolites in fertilizers management for agriculture is essential as besides serving as soil conditioner (including soil fertility improvement), zeolites have the potential to increase crop yield (Valente et al., 1982; Noori et al., 2006). Zeolite has been used in agriculture for decades around the world. Farmers in Japan have been using zeolite since 1965 as a dietary supplement for livestock and as a soil amendment for sandy, clay poor soils. Zeolite is an amazing natural mineral because of its extraordinary ability to absorb, hold, release, and exchange different chemicals, nutrients and ions according to need. Zeolite is a naturally occurring hydrated sodium potassium calcium alumino silicate (of the subtype clinoptilolite) which was formed from the glass component of volcanic ash millions of years ago. Zeolite is a mineral with infinite, three-dimensional, honeycomb like channels that allow it to lose and gain water reversibly. Zeolite is a natural super porous mineral. It carries a negative charge balanced by freely moving cations with positive charges. This provides an ideal trap for positive cations like nitrogen rich ammonium and potassium which are then released when demanded by plants. Thus, zeolite could be used as fertilizers, stabilizers and chelators (Kapetanios and Loizidou, 1992; Perez-Caballero et al., 2008). A study showed that zeolites enable both inorganic and organic fertilizers to slowly release their nutrients (Perez- Caballero et al., 2008). Zeoponix is zeolite, which is used in poultry bed because of water, urea, NH4 and ion absorption. After the end of chicken breeding, zeoponix can be collected and be used as biological manure in agriculture. The objective of this study was to investigate if the use of inorganic fertilizers together with zeolite changing planting pattern and plant density will improve nutrient uptake and consequently yield and yield components of sunflower. Materials and methods
  • 3. Int. J. Agri. & Agri. R. Daryaei Page 3 Field experiment An experiment was conducted to evaluate the effect of planting pattern, plant density and integration of zeoponix and chemical N fertilizer (urea) on sunflower yield and yield components at the Experimental Farm of ‘Tarbiat Modares University in 2010, Tehran, Iran. Hybrid belizar sunflower seeds were handplanted on 27 June 2010 on sandy soil. The zone was located in 16th Km of Tehran – Karaj highway and lies between 35ο 44‫׳‬ N latitude and 51ο 10‫׳‬ E longitude and 1352 m above sea levels. The region is characterized as semi- arid, with mean annual precipitation of 250 mm, which mostly falls during the autumn and winter months. Daily meteorological data on precipitation and air temperature were obtained from the nearest weather station (500 m from the experimental site) (Fig. 1). The means of the temperature and relative humidity during the experimental period were close to the mean of the same long period. Before planting, several soil samples were taken at depths of 0–30 and 30–60 cm, composite samples were collected, air- dried, crushed, and tested for physical and chemical properties (Table 1). The experimental design was analysed as factorial based on randomized complete block with three replications. Sunflower was sown with 50000 and 80000 plant per hectare density on 27 June, 2010. The seeds were sown at a rate of three to four seeds in shallow holes at a depth of 5 cm and firmly covered. Prior to V4 [V (number) Vegetative Stages (i.e. V-1, V- 2, V-3, etc.). These are determined by counting the number of true leaves at least 4 cm in length, beginning as V-1, V-2, V-3, V-4, etc. (Schneiter and Miller, 1981)] they were thinned to one stand (25 d after emergence). The experimental treatments consisted of 3 factors which are different crop densities including 2 levels. The population of plants was including 5 plants m–2 (d1) and 8 plants m–2 (d2). The second factor was planting patterns which were including twin rectangular rows with 75 cm between the rows (A1) and twin zigzag rows (A2) with 75 cm between the rows. (Table 3 and Fig. 1). Different integrated fertilizing treatments were selected as third factor consisted of the sole application of zeoponix (5752 Kg/ha) (f1) and chemical fertilizer, urea (283 Kg/ha) (100%) (f3) based on as sunflower pure nitrogen need in accordance with the results of soil analyses (130 Kg/ha nitrogen), and integration of 50%zeoponix (2876Kg/ha)+50% chemical fertilizer urea (142 Kg/ha) (f2), that were in 3 levels. Zeoponix was applied before planting prior to zeoponix analysis. Chemical fertilizer urea was applied in 2 times; half amount of it applied before planting and the remained half at the beginning of reproductive stage R1 (Schneiter and Miller, 1981)] during the irrigation. Weeds were removed by hoeing as needed and no problems with diseases or insects occurred. Plots were flood-irrigated according to sunflower need. Sunflower seeds were sown in plots with 4 rows which were 4 meters in both sides of 75 cm furrows. Laboratorial experiment To determine sunflower seed yield and yield components, 5 plants were selected randomly with regard of marginal effect during seed physiological ripening. Parameters including plant height, stalk diameter, head diameter, number of seed per head, 1000 seed weight, seed yield, biologic yield and harvest index were measured. Sunflower seed oil was extracted with petroleum ether using Soxhlet instrument (AOAC, 1990). The seed protein content was estimated using the Kjeldahl method described in AOAC (1984). This method involves protein digestion, distillation and determination of % nitrogen content of the distillate by titration and then multiplying the % nitrogen by a factor of 6.25 to obtain the corresponding protein content in %. Statistical analyses were carried out using SAS software (Statistical Software, SAS institute, 2002), and the mean values were classified by LSD test. Result and discussion Vegetative growth Sunflower plant height, stalk diameter and biologic yield were the parameters measured to show
  • 4. Int. J. Agri. & Agri. R. Daryaei Page 4 vegetative growth. Result showed that there was no significant difference in plant arrangement and plant density on sunflower height and plant arrangement on biologic yield. however, there was significant difference in interaction of planting pattern, plant density and fertilizing system on plant height, stalk diameter and biologic yield (P < 0.05) (Tab. 4). Maximum plant height and stalk diameter were achieved at a zigzag arrangement × plant population of 8 plants m–2 × 100% zeoponix (a2d2f1) treatment (Tab. 4). However, maximum biologic yield was observed in twin rectangular arrangement × plant population of 5 plants m–2 × 50% zeoponix+50% chemical fertilizer (a1d1f2) and zigzag arrangement × plant population of 5 plants m–2 × 100% zeoponix (a2d1f1). Table 1. Physical soil properties of experimental research farm. Depth (cm) Sand (%) Lime (%) Clay (%) Texture Field Capacity(%) Available Water(%) (g/cm3) PH 0 - 30 69 20 11 Sandy loam 21 12 1.45 7.5 Table 2. Chemical properties of zeoponix. N (%) P (%) K (%) Fe P.P.M. Zn P.P.M. Cu P.P.M. Mn P.P.M. B P.P.M. 2.26 1.05 0.9 850 160.8 40.05 225.2 19.45 This finding might be explained by decreasing the plant-to-plant competition for available water, nutrient and light in zigzag arrangement, more plant production by having more plant density and more frequent nitrogen ion decomposition and release from organic fertilizer can cause better plant performance. From several plant population studies (Goubbels and Dedio, 1990), it was shown that a population of 7.4 plants m–2 produced higher yield in sunflower than 5.5 plants m–2. Other researchers demonstrated that as plant population of sunflower is increased from low to high, the flowering stage was delayed, plant height increased, the plants lodged more, and seed size, head and stalk diameter decreased (Vranceanu et al., 1982; Fick et al., 1985). Table 3. Treatments of planting patterns, number of rows sowing, planting densities (plants m–2), distance between of plant on rows sowing (cm) and between rows (cm). Between rows (cm) Distance between plants in rows (cm) Planting densities (plants m–2) Number of Rows sowing Planting patterns 75 44 5 2 Twin rectangular row 75 33 8 2 Twin rectangular row 75 44 5 2 Twin zigzag row 75 33 8 2 Twin zigzag row Reproductive growth Seed yield and yield components There was significant difference in main factors and interaction of planting pattern, plant density and fertilizing system on sunflower seed yield (P < 0.05) (Tab. 5). Maximum seed yield was achieved at a zigzag arrangement × plant population of 8 plants m– 2 × 100% zeoponix (a2d2f1) treatment (Tab. 5). Zarea
  • 5. Int. J. Agri. & Agri. R. Daryaei Page 5 et al. (2005) reported that plant densities, planting patterns and plant densities × planting pattern had a significant effect on sunflower yield. They mentioned that yield tended to increase in twin zigzag rows at the rate of 8 plants m–2. The periods bracketing flowering in sunflower (Chimenti and Hall, 1992; Connor and Sadras, 1992; Cantagallo et al., 1997) are times during the crop cycle that the assimilates which are most critical in yield determination. Sunflower yield increase in response to narrow rows is closely related to the improvement in light interception during the critical period for grain set (Andrade et al., 2002). Table 4. Means comparison of defined characters by LSD test at the 5% level. Treatment Height(cm) Stalk diameter(cm) Biologic yield(Kg/ha) Planting arrangement A1 152.25a 2.47b 17328a A2 156.72a 2.88a 17849a Planting density D1 152.250a 2.47b 24084a D2 156.722a 2.88a 11093b Fertilizing system F1 157.333ab 2.89a 19575a F2 158.250a 2.84a 21880a F3 147.875b 2.29b 11311b C.V.(%) 7.64 18.1 29.3 Interaction A1D1F1 156.167bcd 2.5bcd 21150bc A1D1F2 154.833bcd 2.33cd 39029a A1D1F3 150.167bcd 2.04d 13854cd A1D2F1 157bc 2.72bcd 10985d A1D2F2 153.667bcd 3.09abc 10648d A1D2F3 141.667cd 2.16d 8303d A2D1F1 136.500d 2.5bcd 33333a A2D1F2 156.5bc 2.76bcd 24367b A2D1F3 151.667bcd 2.58bcd 12772cd A2D2F1 179.667a 3.66a 12833cd A2D2F2 168ab 3.18ab 13475cd A2D2F3 148cd 2.4bcd 10313d Different letter indicate the significant difference (p ≤ 0.05) among treatments. Using organic fertilizers provide phosphorus and nitrogen and along with micronutrients for plants. Also, applying the organic manure increase soil organic matter and improve soil conditions for plant growth (Gholamhosseini et al., 2013). Khodami Abasiyeh (2003) showed that use of organic fertilizer increased available phosphorus, potassium, magnesium and sulfur for plant. Moreover, organic fertilizers with improving soil physical properties provided suitable conditions for root development (Oue’draogo et al., 2001). Many researchers have reported that manure application has positive effects on the physicochemical properties of soil and improves crop yields (Basso and Ritchie, 2005; Herenica et al., 2007; Bhattacharyya et al., 2008;). Additionally, it seems that adding zeolite to fresh manure prevents the N loss from the soil due to absorption and subsequent release of the N by the zeolite. In this way, zeoponix can act as a slow-release fertilizer to supply N to the crop gradually.
  • 6. Int. J. Agri. & Agri. R. Daryaei Page 6 Gholamhosseini et al. (2013) showed that integrated treatments with zeolite increased sunflower yield. It appears the sunflower yield increase for zeoponix treatments resulted from a proper balance between available soil and plant N requirements. In early growth stages, during which the crop nutrition requirements are low, soil N concentrations in the 100% zeoponix and 50%zeoponix+50%chemical fertilizer treatments were lower than in 100% chemical fertilizer treatments, but due to the gradual release of N from zeoponix, N availability lasted longer in those treatments and resulted in higher N availability during the reproductive stage. Reductions in soil bulk density, increased in soil water retention capacity (Gholamhosseini et al., 2013) and enhanced of soil microbial activities (Daryaei et al., 2010) due to application of zeoponix can also account for yield increases. Number of seed per head and 1000 seed weight There was significant difference in interaction of planting pattern, plant density and fertilizing system on number of seed per head and 1000 seed weight (P < 0.05) (Tab. 5). Table 5. Means comparison of defined characters by LSD test at the 5% level. Treatment Head diameter(cm) Number of seeds per head 1000 seed weight(g) Seed yield(Kg/ha) HI(%) Planting arrangement A1 18.9b 978.43b 76.354b 3283.6b 24b A2 20.3a 1084.59a 90.155a 4193.1a 28a Planting density D1 17.7000b 980.43b 70.213b 3510.4b 17b D2 21.5069a 1082.59a 96.296a 3966.2a 35a Fertilizing system F1 20.5146a 1088.59a 97.220a 4146.9a 26.4a F2 19.7125ab 1096.38a 78.969b 3841.2a 23.6b F3 18.5833b 909.57b 73.575b 3226.9b 29a C.V.(%) 9.77 13.15 9.13 9.99 12.17 Interaction A1D1F1 17.767cd 1042.7b 62.620f 3131.0de 14.74d A1D1F2 17.067d 1052.8b 67.447ef 3372.3de 10.39d A1D1F3 17.833cd 966.7b 69.667ef 3483.3cde 25.97c A1D2F1 22.167ab 1041.5b 113.975b 4018.7c 36.58b A1D2F2 20.583bc 1038.8b 78.810de 3579.0cde 33.71b A1D2F3 18cd 728.1c 65.607f 2117.0f 25.53c A2D1F1 17.583cd 860.3bc 79.230de 3961.5cd 11.93d A2D1F2 17.867cd 1009.4b 71.953ef 3597.7cde 14.72d A2D1F3 18.083cd 950.7bc 70.362ef 3516.7cde 28.03c A2D2F1 24.542a 1409.8a 133.053a 5476.3a 42.69a A2D2F2 23.333ab 1284.6a 97.667c 4815.7b 35.73b A2D2F3 20.417bc 992.8b 88.667cd 3790.7cd 36.74b Different letter indicate the significant difference (p ≤ 0.05) among treatments. Maximum number of seed per head and 1000 seed weight were achieved at a zigzag arrangement × plant population of 8 plants m–2 × 100% zeoponix (a2d2f1) treatment (Tab. 5). Zarea et al. (2005) showed that maximum thousand sunflower seed weight was achieved at a plant population of 6 plants m–2 and planting at the higher rate (8 and 10 plants m–2) resulted in reducing thousand seed weight. This result is in inconformity with ur research. It may probably that in plant density more than 8 plant per m-2 competition during grain filling is more severe which is caused lighter seeds in comparison to lower plant density. It could be
  • 7. Int. J. Agri. & Agri. R. Daryaei Page 7 concluded that 8 plant density per m-2 is the most appropriate in sunflower cultivation. In our study, decreasing the plant-to-plant competition for available water, nutrient and light increases seed weight and seed number per head in zigzag arrangement, are probably caused this result. Seed oil and protein yield There were significant difference in main factors and interaction of planting pattern, plant density and fertilizing system on seed oil content and oil yield, protein content and protein yield (P < 0.05) (Tab. 6). Maximum seed oil content and seed oil yield were found in the a2d2f2 and a2d2f1 treatments. These results showed that mixing natural zeolite, with chicken manure carries a negative charge balanced by freely moving cations with positive charges. This provides an ideal trap for cations such as NH4+, which are then released when required by plants. Natural zeolite has a very open framework with a network of pores that provide a large surface area for trapping and exchanging valuable nutrients. Therefore, greater frequent N availability appears to have caused an increase in photosynthetic products and consequently seed oil yield. The founding is supported by the result of Gholamhosseini et al. (2013). In the other hand, zigzag arrangement and 8 plants m–2 cause higher seed oil yield (Tab. 6). Table 6. Means comparison of defined characters by LSD test at the 5% level. Treatment Seed oil content(%) Seed protein content(%) Seed oil yield(Kg/ha) Seed protein yield(Kg/ha) Planting arrangement A1 47.1974b 18.5978a 1512.78b 615.18b A2 47.1974a 18.2100a 1984.62a 762.71a Planting density D1 45.6900b 16.4206b 1606.30a 577.59b D2 47.5413a 20.3872a 1891.10a 800.30a Fertilizing system F1 46.4411ab 17.1308b 1923.26a 726.53a F2 47.2892a 21.1092a 1825.94a 653.69a F3 46.1167b 16.9717b 1496.90b 686.61a C.V.(%) 2.7 10.09 7.69 13.15 Interaction A1D1F1 43.063d 1341.0d 13.153d 417.42f A1D1F2 45.38c 1538.4cd 15.430cd 522.75ef A1D1F3 46bc 1602.3cd 20.333b 708.33cd A1D2F1 47.483abc 1907.9b 20.957b 844.68bc A1D2F2 47.246bc 1691bc 21.523b 770.23bc A1D2F3 47.031bc 996.1e 20.190bc 427.63f A2D1F1 46.220bc 1832.2bc 13.503d 531.14ef A2D1F2 47.010bc 1688.9bc 16.337c 590.88de A2D1F3 46.467bc 1635bcd 19.767b 695cd A2D2F1 47.7ab 2612a 20.273b 1112.89a A2D2F2 49.521a 2385.5a 15.233cd 730.90cd A2D2F3 46.267bc 1754.2bc 24.147a 915.46b Different letter indicate the significant difference (p ≤ 0.05) among treatments. Robinson et al. (1980) reported that equidistant planting patterns cause higher yield and seed oil yield in sunflower. Gubbels and Dedio (1990) reported that with increased planting density, seed oil yield was increased. Among all treatments, maximum seed protein content were obtained with a2d2f3 (24.147 kg ha_1). However,
  • 8. Int. J. Agri. & Agri. R. Daryaei Page 8 seed protein yield was higher in a2d2f2 and a2d2f1 treatments. (Tab. 6). Chemical fertilizer urea which was applied during flowering stage, is used for grain filling. Whereas, organic fertilizer decomposition provides nutrients gradually and frequently during plant growth. Absence of soil amendments in sandy soil cause nitrate leaching (Gholamhosseini et al., 2013). In this regard, effect of organic fertilizer application on nitrate leaching has been evaluated by several researchers, Gholamhosseini et al. (2013) demonstrated that composted manure+zeolite reduced nitrate leaching. These nutrients is using in plant biomass instruction such as roots, stems and leaves and thus, seed protein content of those sunflowers which was received organic fertilizer and integration of chemical and organic fertilizers, were significantly less than those received sole chemical fertilizer urea. In general, ready to absorb nitrate ions in urea fertilizer are freely mobile in phloem sap and uptake during grain filling and supply as seed protein content. Consequently, it seems that the application of sole chemical fertilizer increased seed protein content because of ready to absorb nitrate ions in urea fertilizer. However, higher number of seed per head and 1000 seed weight of zigzag arrangement × plant population of 8 plants m–2 × 100% zeoponix (a2d2f1) treatment compensated the lower protein content in these treatments and therefore protein yield was increased. High protein content in sunflower is negative trait because it causes difficulties in seed oil extraction. Fig. 1. Schematic shapes of planting patterns which used in experimental treatments. Harvest index Harvest index (HI) was significantly affected by the main factors and interaction of plant arrangement, plant density and fertilizing system (Table 5). LSD test for means showed that zigzag arrangement × plant population of 8 plants m–2 × 100% zeoponix (a2d2f1) treatment had the highest HI (Tab. 5). Reduction of N leaching in the presence of natural zeolite, increases plant-available N and consequently increases N use efficiency. Higher N use efficiency can not only alleviate environmental pollution but also enhance crop yield and harvest index. In addition, in commercial sunflower production, higher plant populations are recommended for sunflower when the grower wants to achieve optimum seed yield performance and harvest index (Sitzer, 2010). In general, the factors increasing the crop productivity, will inhance HI. Conclusion On the basis of present findings it is concluded that for obtaining a higher sunflower yield and yield components and oil yield should be sown in zigzag arrangement × plant population of 8 plants m–2 × 100% zeoponix (a2d2f1) treatment. The greater light interception and more frequent availability of
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