The effect of np fertlizer rates on the yield and yield

Journal of Natural Sciences Research www.iiste.org
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online)
Vol.4, No.16, 2014
The Effect of Np Fertlizer Rates on the Yield and Yield
Components of Ginger (Zingiber Offcinale Rosc.) in Kindo-
Koysha Woreda; Wolaita, South Ethiopia
Abraham Bosha ,Taye Buke and Mesfin Kassa
Wolaita Sodo University, College of Agriculture, P.O.BOX 138, Wolaita Sodo, Ethiopi
* E-mail of the corresponding author: mesuabraham@yaho.com, mesfine2004@gmail.com,
tayebuke@yaho.com
Abstract
A field experiment was conducted at Kindo-Koyisha, Wolaita Zone, South Ethiopia during the 2012/2013
cropping season to evaluate the influences of different rates of NP on yield, yield components. The experiment
was laid out in randomized complete block design (RCBD) with three replications. The treatments consisted of
five levels of N (0, 23, 46, 62 and 92kg/ha) and four levels of P (0, 10, 20 and 30 kg/ha). Duncan’s multiple
range tests were employed to compare means at 5% probability levels. The analysis revealed that increase in N
level had very highly significant (p<0.001) effect on average leaves number per plot, plant height, leaf length,
leaf width, leaf area, tiller number per hill, and number of plants per plot in Kindo-Koyisha woreda. The level
of P for Kindo-KoyishaWoreda had very highly significant (p<0.001) effect on average plant height, leaf length
, and leaf area, tillers number per hill and number of plants per plot; and it showed highly significant (p<0.01)
effect on average leaf significant effect (p<0.05) on leaf width.NP interaction highly significantly (p<0.01)
affected the average leaf area, and number of plots per plot whereas, very highly (p<0.001) affected average
number of leaves per plant, plant height, and leaf length. The highest record of data obtained at 92kg/ha of
nitrogen and 30kg/ha of phosphorous levels in experimental sites. The future studies should articulate towards
and studies involving more cultivars, multi-location and additional rates of N and P application, under diverse
management practices such as farmers, irrigated or rained conditions, which may facilitate fine-tuning of
fertilizer recommendations.
Keywords: Ginger, yields, growth, interaction, fertilizer
1. Introduction
Ginger (Zingiber officinale Rosc.), a member of the family Zingeberaceae, is an important tropical herbaceous
perennial plant; grown as annual is indigenous to tropical India, South East Asia, Australia and Japan, with the
main center of diversity in Indo-Malaysia (Purseglove, 1972). Other important producers are Jamaica, Nigeria,
Sierra Leone, Thailand, and Australia (Purseglove, 1972; Jansen, 1981; Weiss, 2002; Yiljep et al., 2005).India,
China, Indonesia and Nepal are the major producers of ginger in the world, having production of 517.8 thousand
tons, 279 thousand tons, 159 thousand tons and 154.1 thousand tons respectively. Nigeria .The cultivation of
ginger was started in Ethiopia during 13th century when Arabs introduced it from India to east Africa (Janson,
1981). It is the second most widely cultivated spice in Ethiopia, next to chilies. It is limited mostly in the wetter
regions of Southern Nations, Nationalities and Peoples Regional State (SNNPRS) and some parts of western
Oromia. Most of the commercial production is practiced in SNNPRS by farmers within Wolaita, Kambata-
Tambaro and Hadiya zones (MoARD, 2007).
In Ethiopia, ginger is grown in an area of 45,164ha with production of 716,550t ha-1 (MoARD, 2007).
Currently, unpublished Southern Agriculture and Rural Developments’ report indicates that the area coverage of
the Region in the year 2012/2013 was 27615ha, from which Wolaita Zone covers about 11590ha and Kembata-
Tambaro Zone covers 9433ha with the average productivity of 285 Qts/ha (BoARD, 2013). Ginger production
for the extraction of oleoresins essential oils, as well as the direct use of rhizomes for culinary purposes is
increasing worldwide (FAO, 2008). Ginger is a very potential spice crop in SNNPR, Wolaita. In Wolaita ginger
is widely grown as a cash crop. The ginger crop, in spice sub-sector, has an immense potential for economic
development and poverty reduction through creation and expansion of employment opportunities and
distribution of income and foreign exchange earnings. Chemical fertilizers, N and K were highly responsive to
ginger production (Sugtto and Mafzuchah, 1995) stated that N and K increased the quality of young ginger
rhizome and produced average fresh yield of rhizome. Farmyard is a major fertilizer used for ginger production
in SNNPRS. However, it cannot support large scale production since the availability of farmyard manure is
limited and the preparation of it is laborious. There is increased use for Nitrogen fertilizer which reaches up to
150kg/ha and the P (DAP) fertilizer use is mostly 100kg/ha in Wolaita area since the year 2009 (WZARDD,
2012). However, the ginger producers at the region, use undetermined rate of DAP and N fertilizers (Endrias
Geta, 2011). The people in area do not have any recommended dose of fertilizers though; they were often use
chemical fertilizers in ginger crop.
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Vol.4, No.16, 2014
Despite all the potentials and opportunities of having such a long history with a diversified conducive agro-ecology
base, this spice sub-sector potential remained unexploited. The sub-sector is still not organized or
packaged, low in productivity and inefficient. This is attributed to several factors; poor soil fertility, shortage of
improved varieties, and poor agronomic practices are the most important ones (Hailemichael et al., 2008;
MoARD, 2007). Mostly farmers grow ginger and get the produce with very low yield due to lack of research and
technology. It is necessary to determine the correct rate and time of application of the chemical fertilizers for the
optimum yield/quality as well as to analyze the economic aspect of fertilizer application (Endrias Geta, 2011).
Addressing these constraints perfectly fit into the Agriculture sector policy direction of GTP which focuses on
enabling small holding farmers to access and use appropriate improved modern technology, thereby enhancing
production and productivity of the sector in Agricultural development. Therefore, the study was initiated with
the following objectives.
• To determine the optimum NP fertilizer rate for growth and productivity of ginger;
• To determine the effect of NP fertilizer rates on growth and productivity of ginger;
2. Materials and Methods
2.1. Description of the study sites
The study was conducted at Kindo-Koysha woreda, Wolaita Zone, Southern Ethiopia, which is located at
37°.39-37°63 E longitude & 6°79-7°06 N latitude which is 431 km from Adis Abeba to South- East direction and
36 km from Wolaita Sodo town to South-East direction on the way to Jimma. The altitude of the area ranges
from 700 – 2280 m, and the climate is characterized by an erratic rain fall, receiving 400 – 1400 mm per annum
with bimodal pattern (Meher & Belg) where ‘Belg’ cropping season covers from February to June, and ‘Meher’
season from July to October. The area has an average maximum and minimum temperature of 30.70c and 19.20c,
respectively.
2.2. Treatments and Experimental Design
The experiments consisted of, Five levels of N (0, 23, 46, 69 and 92 kg N ha-1), and four levels of P (0, 10, 20
and 30 kg P ha-1) with released cultivars 38/79 or Volbo from the certified seed multiplying model farmer was
used. Three to five centimeter long, one-year-old ginger rhizomes having at least one active bud were used as
planting material. The experiment was laid out in Randomized Complete Block Design (RCBD) with three
replications in factorial arrangement. The plot size was 1.2m*1.5m with 4 rows/plot and 10 plants/row. The
spacing was 30 and 15 cm between rows and plants, respectively. There was 50 cm spacing between plots and
1m between replications. The N source was urea and DAP, whereas the sources of P were triple super phosphate.
The 60% of N were applied at planting time and the rest of Nitrogen was applied as a top dressing in two equal
doses at 45 and 90 days after planting. For the data, five plants were randomly selected from each inner two
rows such as Numbers of leaves/ plant, Leaf length, Leaf area (cm2) – leaf areas by adjustment factor (K=1.426)
(Anteneh et al., 2008). Plant height, Number of tillers/hill and Date of emergence
2.3. Soil analysis
The soil samples were air-dried and ground to pass 2 and 0.5 mm (for total N) sieves. All samples were analyzed
following standard laboratory procedures as outlined by Sahlemedhin and Taye (2000). Organic carbon and total
N contents of the soil were determined following the wet combustion method of Walkley and Black, and wet
digestion procedure of Kjeldahl method, respectively. The available P content of the soil was determined
following Olsen method. Soil texture was analyzed by Bouyoucos hydrometer method. The cations exchange
capacity (CEC) of the soil was determined following the 1N ammonium acetate (pH 7) method. Ca and Mg
contents were measured by using EDTA titration, whereas the exchangeable K and Na in the extract were
measured by flame photometer. The pH (1:2.5 solid: liquid ratio) of the soils was measured in water using pH
meter with glass-calomel combination electrode. Exchangeable acidity of the soil was determined by leaching
exchangeable hydrogen and aluminum ions from the soil samples by 1N KCl solution.
2.4. Statistical analysis
The mean values of each parameter were analyses using variance /ANOVA/ following the SAS statistical
package (Version 9.0) the statistical significance was determined using LSD to compare means at 5%
probability levels.
3. Results and Discussion
3.1. Physico-chemical Properties of Soils
Soil analysis of the locations before sowing (Table 1) showed that soil pH, available P, CEC and Total N found
in the range of slightly acidic based on Herrera (2005) classification, whereas, Kindo Koyisha Woreda.
Textural analysis showed that the same textural class according to the present study soil textural class was sandy
clay both locations. The lack of soil textural class difference between two locations its might be attributed to the
similarity in parent material from which the soils originate.
49

Vol.4, No.16, 2014
Table 1:- Physico-chemical Properties of Soils before sowing during 2012/13
Location N P PH CEC OC Texture class
K/Koyisha 0.1 2.08 5.9 10.4 1.52 Sandy clay
3.2. Responses of ginger on NP fertilizer
The effect of N P on the ginger 38/79 or Volbo yield and yields components at Kindo-Koyisha Woreda was
evaluated by considering the performance of the growth parameters. The analysis showed that the level of N had
very highly significant (p<0.001) effect on average leaves number per plot, plant height , leaf length, leaf width ,
leaf area, tiller number per hill, and number of plants per plot (Table 2).The level of P for Kindo-Koyisha
Woreda had very highly significant (p<0.001) effect on average plant height , leaf length, and leaf area, tillers
number per hill and number of plants per plot; and it showed highly significant (p<0.05) . The NP interaction
highly significantly (p<0.01) affected the average leaf width and very highly significant (p<0.001) affected plant
height and significant effect (p<0.05)
Table 2: Means squares of the growth parameters by NP at Kindo Koyisha during 2012/13
Characters MSN MSP MSN*P MSE
LPP 91.9529*** 11.6926** 1.4041NS 2.0573
PH 347.2056*** 100.4240*** 35.1157*** 5.2006
LL 41.7086*** 17.5234*** 1.7121NS 1.3030
LW 0.9758*** 0.0758* 0.0745** 0.0206
LA 1922.5373*** 350.7479*** 74.8667* 33.1309
TPH 16.0204*** 2.3358** 0.4238NS 0.2726
NPP 924.9542*** 100.1819* 17.6431NS 11.8042
*Figures in parenthesis indicate the degree of freedom, MSN= Nitrogen mean square, MSP=phosphorus mean
square, MSN*MSP=Nitrogen phosphorous interaction mean square, Mse= error mean square,*, **, *** =
Significant at 0.05, 0.01and 0.001 respectively. Ns = non-significant, LPP= average number of leaves per plant,
PH= average plant height, LL= average leaf length, LW= average leaf width, LA=average leaf area, TPH=
average tillers number per hill, and NPP= average number of plants per plot.
3.3. Interaction effect of NP Fertilizer on ginger plant
The interaction effect of between N and P levels and the different growth parameters and among the parameters,
N levels correlated significantly and positively with leaf number per plant, plant height, leaf length, leaf width,
leaf area, tillers number per plant, and number of plants per plot at Kindo-Koyisha Woreda (Table 3).Correlation
analysis at Kindo-Koyisha woreda, also showed significant and positive relationship between P and plant height,
leaf length and leaf area and it showed none significant between leaf number per plant, leaf width, tillers number
per plant and number of plants per plot (Table 3).
Table 3:- Correlation of ginger crop growth and yield components at Kindo-Koyisha Woreda during 2012/13
N P LPP PH LL LW LA TPH NPP
N 1.00 0.00 0.82*** 0.71*** 0.65*** 0.79*** 0.80*** 0.82*** 0.76***
P 1.00 0.26 0.35* 0.39** 0.19 0.31* 0.28 0.25
LPP 1.00 0.90*** 0.89*** 0.83*** 0.93*** 0.84*** 0.82***
PH 1.00 0.91*** 0.83*** 0.93*** 0.0.81*** 0.85***
LL 1.00 0.69*** 0.89*** 0.79*** 0.83***
LW 1.00 0.94*** 0.77*** 0.79***
LA 1.00 0.84*** 0.87***
TPH 1.00 0.84***
NPP 1.00
N= Nitrogen, P=phosphorus, LPP= average number of leaves per plant, PH= average plant height, LL= average
leaf length, LW= average leaf width, LA=average leaf area, TPH= average tillers number per hill, and NPP=
average number of plants per plot.
3.4. Effects on ginger on Yield and yield components
The effects of different levels of N on the ginger growth parameters i.e., average number of leaves per plant,
plant height, mean leaf length, mean leaf width, mean leaf area, mean tillers number per hill and mean plant
number per plot showed a very highly significant effect and the highest mean number of leaves (20.42) was
recorded at 92kg/ha N level and the lowest (13.12) were obtained at 0 kg/ha N levels. Similarly, the N level
showed very highly significant effect on mean plant height, mean leaf length, mean leaf width, mean leaf area,
tillers number per hill and number of plants per plot with the highest mean 55.13, 20.27, 2.56, 74.05, 6.49, and
56.25 at 92kg/ha N respectively and with lowest record of 41.21, 15.57, 1.78, 39.91, 3.70 and 34.33 at 0kg/ha
50

Vol.4, No.16, 2014
level respectively. The levels of P had a very significant effect on meanaverage number of leaves per plant,
plant height, mean leaf length, mean leaf width, mean leaf area, mean tillers number per hill and mean plant
number per plotwith the highest mean 18.32, 52.70, 19.72, 2.27, 64.29, 5.85 and 52.90 at 30kg/haphosphorus
level respectively and with lowest mean of 16.25, 46.68, 17.27, 2.11, 53.18, 4.91 and 46.72 were recorded at
0kg/ha of phosphorus level (Table 3).
Table 4:- Means values of yield and yields components of ginger varieties of - 38/79 at Kindo-Koyisha during
2012/13
Nitrogen LPP PH LL LW LA TPH NPP
0 13.12d 41.21d 15.57c 1.78d 39.91d 3.70d 34.33d
23 16.53c 49.57c 18.57b 2.12c 56.05c 4.85c 50.13c
46 18.11b 51.29c 19.39ab 2.25b 62.28b 5.74b 52.75bc
69 18.79b 53.21b 19.78a 2.30b 64.57b 6.31a 54.18ba
92 20.42a 55.13a 20.27a 2.56a 74.05a 6.49a 56.25a
C.V. 8.24 4.55 6.1 6.53 9.70 9.63 6.94
SE + 1.17 +1.86 + 0.93 +0.12 +4.70 +0.43 + 2.81
Phosphorous
0 16.25b 46.68c 17.27c 2. 12b 53.18c 4.91c 46.73c
10 17.23ab 49.65b 18.55b 2.19ab 58.15b 5.35b 48.60bc
20 17.77a 51.29ab 19.33ab 2.23a6 1.86ab 5.57ab 49.87b
30 18.32a 52.70a 19.72a 2.27a 64.29a 5.85a 52.90a
C.V. 8.24 4.55 6.1. 6.53 9.70 9.63 6.94
SE + 1.17 + 1.86 + 0.93 +0.12 +4.70 + 0.43 + 2.81
Means followed by the same letter in the same column were not significantly different at p<0.05 levels according
to Duncan’s Multiple Range test LPP= average number of leaves per plant, PH= average plant height, LL=
average leaf length, LW= average leaf width, LA=average leaf area, TPH= average tillers number per hill, and
NPP= average number of plants per plot.
It was also reflected in the significant and positive correlations that existed between the level of applied N and
mean leaves number per plant (r=0.85***), plant height (r=0.92***), leaf length (r=0.85***), leaf width
(r=0.87***) cm. leaf area (r=0.89***), tiller number per hill (r=0.89***), and number of plants per plot
(r=0.91***) (Table 4). N either in single or in combination had significant effect on the yield and other yield
attributes of ginger. It is revealed that both N and K had positive impact on ginger production but the effect of N
was found to be more distinct than the effect of K. However, with the increase of N levels, other field parameters
of ginger linearly increased (Haque et al., 2007). The study in the Bangladesh showed that yield contributing
parameters progressively increased with the increase rates of N up to 180 kg/ha which was significantly different
over 0 Nitrogen and this result handled at kindo Koyisha, agree with the findings of Bangladesh. Here 4 levels of
N was used in treated plots but 150 kg N/ha responded best and the highest plant height 56.3cm and 87.1cm),
maximum leaves number (17.30 and 18.30 /plant and fingers number (27.8 and 14.5 /plant) respectively in both
the years Haque et al., 2007). Fertilizer nitrogen significantly increased the number of third order shoots and
fourth order rhizome branches, and the total yields of shoots and rhizomes. A rate of application of 200–300 kg
N/ha was required for maximum yield in Australia. Therefore, a good supply of nitrogen to the plant stimulates
root growth and development as well as uptake of other nutrients (FAO, 2000; Brady and Weil, 2002).
4. Conclusion and Recommendation
Information on fertility status of soils and crop responses under different fertility management strategies are very
crucial for profitable and sustainable agricultural production. In view of this, a study was conducted to
investigate the influence of N and P application on yield and yield traits of 38/79 or Volvo ginger variety at
Kindo-Koyisha (Pajena-Mata) during 2012/2013 cropping season. The experiment was laid out in randomized
complete block design (RCBD) with three replications. The treatments consisted of five levels of N (0, 23, 46,
69 and 92kg ha-1) and four levels of P (0, 10, 20, and 30kg ha -1). A total of 20 fertilizer treatments were used in
a factorial arrangement. The analysis revealed that increase in NP level had very highly significant (p<0.001)
effect on growth and yield components at Kindo-KoyishaWoreda . Nitrogen and phosphors interaction highly
significantly (p<0.01) affected the average leaf area , and number of plots per plot whereas, very highly
(p<0.001) affected average number of leaves per plant, plant height, and leaf length. Even though there was no
possibility to measure the data of ginger yield (rhizome/tuber) due to the outbreak of Bacterial wilt disease over
all ginger fields in the region which is with no preventive mechanism, the shoot part data in this study showedthe
maximum record at 92kg/ha of Nitrogen and 30kg/ha of Phosphorous in experimental sites. Particularly, the
51

Vol.4, No.16, 2014
nitrogen level increase reveals progressive increment for all ginger yield components (growth parameters).
Therefore, results of this study pointed out to the possibility of promoting higher yields by manipulation of
growth aspects through use of N and P (92 kg N along with 30 kg P/ha) applications. Even though significant
increase in yield attributes were observed in response to the increased rates of N and P, it is premature to arrive
at definite recommendations based on this study as it was conducted in only two location over single season by
adopting one variety. In view of this, the future studies should articulate towards and studies involving more
cultivars, multi-location and additional rates of N and P application, under diverse management practices , which
may facilitate fine-tuning of fertilizer recommendations.
ACKNOWLEDGEMENT
We are hugely indebted to Wolita Sodo University for the research work grant and following us to do our
research concern. We are particularly grateful for the Agricultural Office of Wolaita Zone, kindo koyisha Rural
Development Office for their willingness to give as information, guidance and encouragement and for their
valuable time. We also extend our thanks go to the development agents working in the researches sites.
References
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