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Journal of Agriculture and Crops
ISSN(e): 2412-6381, ISSN(p): 2413-886X
Vol. 2, No. 3, pp: 24-30, 2016
URL: http://arpgweb.com/?ic=journal&journal=14&info=aims
*Corresponding Author
24
Academic Research Publishing Group
Determination of Optimum Rates of N and P Fertilizer for
Tomato at Mereb-lekhe District, Northern Ethiopia
Yemane Kahsay* Lecturer in Horticulture, Adigrat University, Ethiopia
Alemat Embaye Lecturer in Horticulture, Adigrat University, Ethiopia
Guesh Tekle Lecturer in Horticulture, Adigrat University, Ethiopia
1. Introduction
Tomato (Lycopersicon esculentumL.) is the most widely grown vegetable in the world being recognized as a
reach source of vitamins and minerals. It is also among the most important vegetable crops in Ethiopia. The total
production of this crop in the country has shown a marked increase (Lemma et al., 1992) since it became the most
profitable crop providing a higher income to small scale farmers compared to other vegetable crops. However,
tomato production is highly constrained by several factors especially in developing nations like Ethiopia. The
national average of tomato fruit yield in Ethiopia is often low (125 q/ha) compared even to the neighboring African
countries like Kenya (164 q/ha) (FAO Production Year Book, 2004). Current productivity under farmers’ condition
is 90 q/ha, whereas yield up to 400 q/ha can be recorded on research plots (personal communication).
In Ethiopia, farmers get lower yield mainly due to diseases and pests as well as due to sub-optimal fertilization.
Mehla et al. (2000) reported that fruit yield in tomato is highly influenced by the NP fertilizers rates applied.
Similarly, Sharma et al. (1999) also reported average fruit weight of tomato to have been influenced by the amount
of NP fertilizers rates applied. Thus, tomato plant should receive optimum amount of NP fertilizers to produce
higher fruit yields.
According to (http://www.avrdc.org, 2007) the total nitrogen (kg ha-1) required to achieve a target fruit yield is
estimated by multiplying the target yield in tons per hectare by 2.4. Similarly, P2O5 requirement per hectare can be
estimated by multiplying N requirement by 0.35 (http://www.avrdc.org, 2007).
Improper plant spacing is also among the notable reasons of low productivity of this crop. Lemma et al. (1992)
reported that plant spacing greatly influenced fruit yield in both fresh market and processing tomatoes. Likewise,
Mehla et al. (2000) also reported yield parameters in tomato to have been affected by spacing.
In Ethiopia, so far plant spacing and fertilizer rates were determined for tomatoes only at Melkasa research
center which can not agro-ecologically represent the other tomato growing regions of the country and especially no
such study was done in tomatoes under vertisol condition and the whole of such previous agronomic studies were
confined only to sandy loam soils of the rift valley regions of the country. Although the tomato growers in the rift
valley regions can directly use the recommendation from this research center, the same recommendation however,
can not apply for the other tomato growing regions with completely different agro-ecology. In tropics in general, the
common fertilizer application rates according to literature are 60-120 kg N, and 60-140 kg P2O5and 60-120 kg K2O
per hectare (http://www.avrdc.org, 2007). However, this would also be too general to use for specific regions. Since
spacing requirement of tomato depends on soil type and its inherent fertility (Lemma et al., 1992) and the type of
cultivars (Mehla et al., 2000) the use of blanket recommendation would be inappropriate and it would be
indispensable to identify appropriate recommendation for specific soil types and cultivars grown in the region. Thus,
the present investigation was proposed with an objective to determine an optimum fertilizer rate with contrasting
growth habits grown in vertisol dominated region of the central Ethiopia.
Abstract: A field experiment was conducted on at M.lekhe district (Ethiopia) during 2002 and 2003 years to
investigate the response of tomato to rates of Nitrogen (N) and Phosphorus (P) fertilizers. The treatment consisted
of factorial combination of four Nitrogen fertilizers rates (50 kg, 100 and 150 urea/ha) and four P rates (100,150
and 200 DAP/ha) arranged in a Randomized Complete Block Design. Statistically significant and highest yield per
plant was recorded at the highest rate of DAP (200 kg/ha). The significantly lowest yield was found at the zero
level (with out DAP applied). The marketable yield in Q/ha of the rates is 939.96, 822.44, 731.1067 and 421.44
for 200, 150, 100 and 0 rates respectively. As the partiual budget analisis showed increasing rate of phosphorus
and urea fertilizers increased profitability until 200 kg/ha and 150 kg/ha respectively.
Keywords: Fertilizer, Rate and Yield.
Journal of Agriculture and Crops, 2016, 2(3): 24-30
25
1.1. Objective:
• To determine the appropriate fertilizer application rate for maximum yield and minimum cost.
2. Materials and Methods
The experiment was conducted in irrigation sites of wereda M/lekhe. This area is located about 42km north of
Adwa town in the Ethio-Eritrea border. The area is located in Mereb-Lekhe Woreda, Central Zone of Tigray in the
Ethio-Ertirean border at an altitude of 1390m.a.s.l. It is located at a distance of 77km away from Axum towards the
North-Eastern. It is located at a latitude of 140
409'38"N and longitude of 380
735'45"E in semi-arid tropical belt of
Ethiopia with a hot to warm ‘kola’ agro climatic zone predominantly arid to semi-arid. The rainy season of the study
area is mono-modal with erratic and torrential rainfall. The mean minimum and maximum monthly temperature
ranges from 12.130
c to 27.880
c, respectively. And the soil is sandy loam. It is potential area for horticultural crops
production with a wider diversity. Its farmers grow fruits of tropical types, vegetables, cereals, oil crops and preserve
many lowland trees. Famers often grow fruits such as orange, mango, banana, papaya, and lemon; vegetables such
as tomato, hot pepper, lettuce, onion, and shallot; oil crops such as groundnut and cereals such as sorghum, maize,
finger millet, and Teff. Tomato is the major vegetable crop ever grown in small scale irrigation scheme of the
diversion.
2.1. Treatments Design and Management
The treatment consisted of factorial combination of T four levels of nitrogen rates (0, 50, 100 and 150) Vs four
levels of Phosphorus rate (0, 100, 1503 and 200) where Po and No are control levels giving 25 total treatments. The
experiment was arranged in randomized complete block design (RCBD).
Seedlings grown on seed bed for one month. Then seedlings transplanted to prepared ridges in spacing of 30 cm
and 100 cm for plants and rows respectively. Irrigation and other cultural practices done according the need of the
crop. P fertilizer applied during transplanting and the N fertilizer applied in split (half during transplanting and the
half after 6 weeks).
3. Result and Discussion
Table-1.Main Effect of DAP and Urea on tomato phenology & growth parameters in 2002 E.C
Main Effect
Treatment
Days to 50%
Flowering
Days to 50%
Maturity
Plant Height (cm)
No. Of
Branches/plant
DAP
0 33.00 a 75.08 45.95 5.17
100 31.00 b 75.00 42.35 5.29
150 31.41 b 74.91 42.24 5.12
200 31.41 b 75.08 48.98 5.92
Prob 0.0073 0.99 0.10 0.1119
SE 0.4117 0.40 2.18 0.2552
CV 4.95 1.72 17.38 18.30
Urea
0 32.17 75.00 42.01 4.65 b
50 31.75 74.75 46.35 5.70 a
100 31.58 75.33 44.68 5.51 ab
150 31.33 75.00 46.49 5.64 a
Prob 0.54 0.78 0.44 0.0207
SE 0.41 0.40 2.18 0.2552
CV 4.95 1.72 17.38 18.30
Journal of Agriculture and Crops, 2016, 2(3): 24-30
26
Table-2.Interaction Effect of DAP and Urea on tomato phenology & growth parameters in 2002 E.C
Late flowering of tomato was observed at P-fertilizer rate of 0 kg/ha. Otherwise, the different rates of P-fertilizer
did not show significant effect on maturity, plant height and Number of branches per plant. The different N-fertilizer
rates show significant effect on number of branches per plant and significantly smaller number branches per plant
was observed from plots receiving no N-fertilizer. No significant interaction effect of the different N and P fertilizer
rates on these parameters.
Table-3. Main Effect of DAP & Urea on tomato yield components in 2002 E.C
Main Effect
Treatment
No. Of
Clusters/plant
No. of Matured
Fruits/plant
Fruit length
(cm)
Fruit Diameter
(cm)
DAP
0 11.33 26.94 6.57 4.19
100 9.91 25.37 6.54 4.36
150 11.48 26.51 6.57 3.98
200 14.08 33.05 6.69 4.26
Prob 0.06 0.08 0.84 0.23
SE 1.05 2.24 0.13 4.20
CV 33.58 30.97 6.73 11.60
Urea
0 9.63 21.93 b 6.33 3.95
50 12.72 28.56 ab 6.63 4.24
100 11.99 30.31 ab 6.67 4.13
150 12.49 31.07 a 6.74 4.47
Prob 0.16 0.025 0.12 0.05
SE 1.05 2.24 0.13 0.13
CV 33.58 30.97 6.73 11.60
Treatment
(DAP &
Urea)
Days to 50%
flowering
Days to 50%
maturity
Plant Height (cm)
No. Of
Branches/plant
0*0 32.67 74.33 46.53 4.77
0*50 33.00 74.33 45.53 5.77
0*100 33.00 75.67 46.40 5.33
0*150 33.33 76.00 45.37 4.80
100*0 32.00 75.00 38.00 4.84
100*50 30.67 75.33 46.83 5.94
100*100 30.67 75.00 42.17 4.77
100*150 30.67 74.67 42.43 5.61
150*0 32.33 75.67 36.10 3.99
150*50 31.33 74.67 43.70 5.09
150*100 30.67 75.00 40.83 5.57
150*150 31.33 74.33 48.33 5.83
200*0 31.67 75.00 47.40 5.03
200*50 32.00 74.67 49.37 6.00
200*100 32.00 75.67 49.33 6.34
200*150 30.00 75.00 49.83 6.32
Prob. 0.7533 0.8384 0.9484 0.6095
SE 0.8579 0.8333 4.6963 0.5213
CV 4.95 1.72 17.38 18.30
Journal of Agriculture and Crops, 2016, 2(3): 24-30
27
Table-4. Interaction Effects of DAP and Urea on tomato yield components in 2002 E.C
Treatment (DAP &
Urea)
No. Of
Clusters/plant
No. of Matured
Fruits/plant
Fruit length
(cm)
Fruit Diameter (cm)
0*0 10.50 25.17 6.41 3.97
0*50 13.22 27.94 6.58 4.50
0*100 11.11 28.39 6.610 4.25
0*150 10.50 26.28 6.70 4.06
100*0 7.87 18.39 6.21 4.02
100*50 9.83 24.94 6.73 4.25
100*100 10.33 27.50 6.43 4.08
100*150 11.61 30.68 6.81 5.07
150*0 8.67 16.61 6.25 3.68
150*50 12.17 27.39 6.73 4.12
150*100 11.83 28.22 6.75 3.91
150*150 13.28 33.83 6.55 4.21
200*0 11.44 27.55 6.46 4.12
200*50 15.67 34.00 6.50 4.08
200*100 14.67 37.16 6.91 4.30
200*150 14.55 33.50 6.916 4.55
Prob. 0.1025 0.9241 0.9573 0.4952
SE 2.3184 4.8116 0.2748 0.2646
CV 33.58 30.97 6.73 11.60
No significant main and interaction effects of the different rates of N and P-fertilizers on the yield components
of tomato except that higher rate of N-fertilizer resulted in significantly higher number of matured fruits per plant.
Table-5. Main Effects of DAP and Urea on Tomato Yield in 2002 E.C
Main Effect
Treatment
Wt of
Marketable
Fruits
(kg/plant)
Wt of
unmarketable
fruits (kg/plant)
Wt of
marketable
Fruits (kg/ha)
Wt of unmarketable
Fruits (kg/ha
DAP
0 0.71 0.13 18520 3295
100 0.56 0.12 18645 3680
150 0.60 0.10 17098 3496
200 0.78 0.10 22880 3326
Prob 0.1017 0.9486 0.3041 0.3277
SE 0.0677 0.0436 2229 409.94
CV 26.71 23.04 29.63 20.19
Urea
0 0.56 0.14 16083 2761
50 0.67 0.12 20802 4027
100 0.72 0.09 21453 4005
150 0.72 0.10 20807 4005
Prob 0.3008 0.8075 0.3057 0.0886
SE 0.0677 0.0436 2229 409.94
CV 26.71 23.04 29.63 20.19
Journal of Agriculture and Crops, 2016, 2(3): 24-30
28
Table-6.Interaction effect of N and P Fertilizer on tomato Marketability in 2002 E.C
Treatment (DAP &
Urea)
Wt of
Marketable
Fruits
(kg/plant)
Wt of
unmarketable
fruits (kg/plant)
Wt of
marketable
Fruits (kg/ha)
Wt of unmarketable
Fruits (kg/ha)
0*0 0.66 0.32 20083 3300
0*50 0.73 0.06 19875 3895
0*100 0.78 0.07 22270 3425
0*150 0.69 0.08 19854 2562
100*0 0.41 0.05 13812 2200
100*50 0.58 0.25 20729 3837
100*100 0.60 0.083 21541 4683
100*150 0.68 0.09 18500 4000
150*0 0.43 0.10 12416 2325
150*50 0.62 0.08 19770 3883
150*100 0.57 0.10 16000 3429
150*150 0.77 0.11 20208 4350
200*0 0.73 0.10 18020 3220
200*50 0.73 0.10 22833 4491
200*100 0.92 0.10 26000 4483
200*150 0.74 0.12 24666 5108
Prob. 0.9614 0.5004 0.9930 0.8279
SE 0.1468 0.0878 4913 863.83
CV 26.71 23.04 29.63 20.19
No significant main and interaction effects of the different rates of N and P-fertilizers on the marketable and
non-marketable yield of tomato.
Table-7. Effect of DAP fertilizer on different growth and yield parameters of Tomato in 2003 E.C
DAP
rate
Days to
maturity
Plant
height
No of
Branches
/plant
No of
Cluster
/plant
No of
Fruits
/plant
Marketab
le yield
(g/p)
Unmark
etable
yield
(g/p)
Fruit
length
(cm)
Fruit
diameter
(cm)
0 86.2500a
34.942b
3.9833b
4.075d
14.600c
316.08c 62.03c
6.5167 3.7667b
100 79.4167b
35.325b
4.5083ab
6.1167c
21.942b
548.33b
117.11b
6.2917 3.9667ab
150 78.9167b
37.533ab
4.6a
7.3b
23.208ab
616.83ab
129.99b
6.3333 4.0250ab
200 76.7500c
40.067a 4.6417a
8.6083a
26.075a
704.97a
164.08a
6.4417 4.1500a
LSD 1.8702 0.5382 1.0919 1.0919 3.7346 137.13 33.22 ns 0.2708
CV 2.788229 10.50291 14.53959 20.04194 20.84625 30.04857 33.63076 6.504033 8.155962
The interaction effect of DAP and Urea fertilizers did not show any significant different in all parameters.
However there were significant differences among the different levels of DAP and Urea. With no DAP application
the days to maturity was significantly higher, while the least was on 200 kg/ha. The number of clusters per plant also
was significantly highest at 200 kg/ha. Highest number of fruits per plant was found at 200 kg/ha but not statistically
difference from 150 kg/ha. Statistically significant and highest yield per plant was recorded at the highest rate of
DAP (200 kg/ha). The significantly lowest yield was found at the zero level (with out DAP applied). The marketable
yield in Q/ha of the rates is 939.96, 822.44, 731.1067 and 421.44 for 200, 150, 100 and 0 rates respectively.
Journal of Agriculture and Crops, 2016, 2(3): 24-30
29
Table-8. Effect of Urea fertilizer on different growth and yield parameters of Tomato in 2003 E.C
Urea
rate
Days to
maturity
Plant
height
No of
Branches
/plant
No of
Cluster
/plant
No of
Fruits
/plant
Marketable
yield (g/p)
Unmarketable
yield (g/p)
Fruit
length
(cm)
Fruit
diameter
(cm)
0 80.0833 35.775 4.3000 5.6833b
17.925b
431.64b
93.83b
6.1917b
4.0083a
50 79.8333 37.883 4.5167 6.5750ab
22.100a
563.45ab
124.14ab
6.3667ab
3.9250a
100 80.2500 36.525 4.6167 6.8833ab
22.392a
582.54a
124.48ab
6.4250ab
3.9083a
150 81.1667 37.683 4.3000 6.9583a
23.408a
608.57a
130.78a
6.6000a
4.0667a
LSD ns ns ns 1.0919 3.7346 137.13 33.22 0.3473 ns
CV 2.788229 10.50291 14.53959 20.04194 20.84625 30.04857 33.63076 6.504033 8.155962
There is no significant difference among the levels of Urea for the growth parameters. The maximum cluster per
plant was observed at the highest rate of urea applied. But statistically similar with 100 kg/ha and 50 kg/ha rates.
Statistically least number of fruits per plant was observed at the zero rate of urea. A similar result was observed for
marketable yield.
Table-9. Partial budget analysis of tomato produced by applying phosphorus fertilizer E.C
Fertilizer
Rate
(kgP2O5/ha)
Fertilizer
Cost
(Birr)
Fertilizer
Application
&
Transport
Cost [Birr]
Total
variable
cost
(TVC)
[Birr]
Fruit
yield
(Q/ha)
Total
Revenue
(TR)
[Fruit
yield
*600]
Net
Revenue
[TR-
TVC]
Marginal
Rate of
return
(ratio)
Marginal
Rate of
return
(%)
0 0 0 0 190 114000 114000
40 4000
100 1200 25 1225 275 165000 163775
21.5 2150
150 1800 50 1850 298 179100 177250
47.5 4750
200 2400 75 2475 349 209400 206925
Table-10. Partial budget analysis of tomato produced by applying urea fertilizer
Fertilizer
Rate
(kgP2O5/ha)
Fertilizer
Cost
(Birr)
Fertilizer
Application
&
Transport
Cost [Birr]
Total
variable
cost
(TVC)
[Birr]
Fruit
yield
(Q/ha)
Total
Revenue
(TR)
[Fruit
yield
*600]
Net
Revenue
[TR-
TVC]
Marginal
Rate of
return
(ratio)
Marginal
Rate of
return
(%)
0 0 0 0 223 133800 133800
32 3200
50 1200 25 1225 291 174600 173375
7.8 780
100 1800 37 1837 300 180000 178163
7.8 780
150 2400 50 2450 309 185400 182950
As indicated the partial budget analysis at the above two tables, increasing rate of phosphorus and urea
fertilizers increased profitability until 200 kg/ha and 150 kg/ha respectively.
4. Conclusion and Recommendation
The two years result of the research showed that application of phosphorus and urea fertilizers is quite important
for tomato production. The rate of application is also determinant for productivity and profitability. Moreover, a50
kg/ha urea fertilizer and 200 kg/phosphorus fertilizer could be suggested to apply. Therefore these can be used as
one package of tomato production technology and all growers better to apply.
References
Lemma, D., Yayeh, Z. and Herath, E. (1992).'Agronomic studies in tomato and capsicum. Herath and Lemma (eds.).
Horticulture Research and Development in Ethiopia'.Proceedings of the Second National Horticultural
Workshops of Ethiopia.Addis Ababa, Ethiopia.
Mehla, C. P., Srivastava, V. K., Jage, S., Mangat, R., Singh, J. and Ram, M. (2000). Response of tomato varities to
N and P fertilization and spacing. Indian Jornal of Agricultural Research, 34(3): 182-84.
Journal of Agriculture and Crops, 2016, 2(3): 24-30
30
Sharma, K. C., Singh, A. K. and Sharma, S. K. (1999). Studies on Nitrogen and Phosphorus requirement of tomato
hybrids. Annals of Agricultural Research, 20(4): 339-402.

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Determination of Optimum Rates of N and P Fertilizer for Tomato at Mereb-lekhe District, Northern Ethiopia

  • 1. Journal of Agriculture and Crops ISSN(e): 2412-6381, ISSN(p): 2413-886X Vol. 2, No. 3, pp: 24-30, 2016 URL: http://arpgweb.com/?ic=journal&journal=14&info=aims *Corresponding Author 24 Academic Research Publishing Group Determination of Optimum Rates of N and P Fertilizer for Tomato at Mereb-lekhe District, Northern Ethiopia Yemane Kahsay* Lecturer in Horticulture, Adigrat University, Ethiopia Alemat Embaye Lecturer in Horticulture, Adigrat University, Ethiopia Guesh Tekle Lecturer in Horticulture, Adigrat University, Ethiopia 1. Introduction Tomato (Lycopersicon esculentumL.) is the most widely grown vegetable in the world being recognized as a reach source of vitamins and minerals. It is also among the most important vegetable crops in Ethiopia. The total production of this crop in the country has shown a marked increase (Lemma et al., 1992) since it became the most profitable crop providing a higher income to small scale farmers compared to other vegetable crops. However, tomato production is highly constrained by several factors especially in developing nations like Ethiopia. The national average of tomato fruit yield in Ethiopia is often low (125 q/ha) compared even to the neighboring African countries like Kenya (164 q/ha) (FAO Production Year Book, 2004). Current productivity under farmers’ condition is 90 q/ha, whereas yield up to 400 q/ha can be recorded on research plots (personal communication). In Ethiopia, farmers get lower yield mainly due to diseases and pests as well as due to sub-optimal fertilization. Mehla et al. (2000) reported that fruit yield in tomato is highly influenced by the NP fertilizers rates applied. Similarly, Sharma et al. (1999) also reported average fruit weight of tomato to have been influenced by the amount of NP fertilizers rates applied. Thus, tomato plant should receive optimum amount of NP fertilizers to produce higher fruit yields. According to (http://www.avrdc.org, 2007) the total nitrogen (kg ha-1) required to achieve a target fruit yield is estimated by multiplying the target yield in tons per hectare by 2.4. Similarly, P2O5 requirement per hectare can be estimated by multiplying N requirement by 0.35 (http://www.avrdc.org, 2007). Improper plant spacing is also among the notable reasons of low productivity of this crop. Lemma et al. (1992) reported that plant spacing greatly influenced fruit yield in both fresh market and processing tomatoes. Likewise, Mehla et al. (2000) also reported yield parameters in tomato to have been affected by spacing. In Ethiopia, so far plant spacing and fertilizer rates were determined for tomatoes only at Melkasa research center which can not agro-ecologically represent the other tomato growing regions of the country and especially no such study was done in tomatoes under vertisol condition and the whole of such previous agronomic studies were confined only to sandy loam soils of the rift valley regions of the country. Although the tomato growers in the rift valley regions can directly use the recommendation from this research center, the same recommendation however, can not apply for the other tomato growing regions with completely different agro-ecology. In tropics in general, the common fertilizer application rates according to literature are 60-120 kg N, and 60-140 kg P2O5and 60-120 kg K2O per hectare (http://www.avrdc.org, 2007). However, this would also be too general to use for specific regions. Since spacing requirement of tomato depends on soil type and its inherent fertility (Lemma et al., 1992) and the type of cultivars (Mehla et al., 2000) the use of blanket recommendation would be inappropriate and it would be indispensable to identify appropriate recommendation for specific soil types and cultivars grown in the region. Thus, the present investigation was proposed with an objective to determine an optimum fertilizer rate with contrasting growth habits grown in vertisol dominated region of the central Ethiopia. Abstract: A field experiment was conducted on at M.lekhe district (Ethiopia) during 2002 and 2003 years to investigate the response of tomato to rates of Nitrogen (N) and Phosphorus (P) fertilizers. The treatment consisted of factorial combination of four Nitrogen fertilizers rates (50 kg, 100 and 150 urea/ha) and four P rates (100,150 and 200 DAP/ha) arranged in a Randomized Complete Block Design. Statistically significant and highest yield per plant was recorded at the highest rate of DAP (200 kg/ha). The significantly lowest yield was found at the zero level (with out DAP applied). The marketable yield in Q/ha of the rates is 939.96, 822.44, 731.1067 and 421.44 for 200, 150, 100 and 0 rates respectively. As the partiual budget analisis showed increasing rate of phosphorus and urea fertilizers increased profitability until 200 kg/ha and 150 kg/ha respectively. Keywords: Fertilizer, Rate and Yield.
  • 2. Journal of Agriculture and Crops, 2016, 2(3): 24-30 25 1.1. Objective: • To determine the appropriate fertilizer application rate for maximum yield and minimum cost. 2. Materials and Methods The experiment was conducted in irrigation sites of wereda M/lekhe. This area is located about 42km north of Adwa town in the Ethio-Eritrea border. The area is located in Mereb-Lekhe Woreda, Central Zone of Tigray in the Ethio-Ertirean border at an altitude of 1390m.a.s.l. It is located at a distance of 77km away from Axum towards the North-Eastern. It is located at a latitude of 140 409'38"N and longitude of 380 735'45"E in semi-arid tropical belt of Ethiopia with a hot to warm ‘kola’ agro climatic zone predominantly arid to semi-arid. The rainy season of the study area is mono-modal with erratic and torrential rainfall. The mean minimum and maximum monthly temperature ranges from 12.130 c to 27.880 c, respectively. And the soil is sandy loam. It is potential area for horticultural crops production with a wider diversity. Its farmers grow fruits of tropical types, vegetables, cereals, oil crops and preserve many lowland trees. Famers often grow fruits such as orange, mango, banana, papaya, and lemon; vegetables such as tomato, hot pepper, lettuce, onion, and shallot; oil crops such as groundnut and cereals such as sorghum, maize, finger millet, and Teff. Tomato is the major vegetable crop ever grown in small scale irrigation scheme of the diversion. 2.1. Treatments Design and Management The treatment consisted of factorial combination of T four levels of nitrogen rates (0, 50, 100 and 150) Vs four levels of Phosphorus rate (0, 100, 1503 and 200) where Po and No are control levels giving 25 total treatments. The experiment was arranged in randomized complete block design (RCBD). Seedlings grown on seed bed for one month. Then seedlings transplanted to prepared ridges in spacing of 30 cm and 100 cm for plants and rows respectively. Irrigation and other cultural practices done according the need of the crop. P fertilizer applied during transplanting and the N fertilizer applied in split (half during transplanting and the half after 6 weeks). 3. Result and Discussion Table-1.Main Effect of DAP and Urea on tomato phenology & growth parameters in 2002 E.C Main Effect Treatment Days to 50% Flowering Days to 50% Maturity Plant Height (cm) No. Of Branches/plant DAP 0 33.00 a 75.08 45.95 5.17 100 31.00 b 75.00 42.35 5.29 150 31.41 b 74.91 42.24 5.12 200 31.41 b 75.08 48.98 5.92 Prob 0.0073 0.99 0.10 0.1119 SE 0.4117 0.40 2.18 0.2552 CV 4.95 1.72 17.38 18.30 Urea 0 32.17 75.00 42.01 4.65 b 50 31.75 74.75 46.35 5.70 a 100 31.58 75.33 44.68 5.51 ab 150 31.33 75.00 46.49 5.64 a Prob 0.54 0.78 0.44 0.0207 SE 0.41 0.40 2.18 0.2552 CV 4.95 1.72 17.38 18.30
  • 3. Journal of Agriculture and Crops, 2016, 2(3): 24-30 26 Table-2.Interaction Effect of DAP and Urea on tomato phenology & growth parameters in 2002 E.C Late flowering of tomato was observed at P-fertilizer rate of 0 kg/ha. Otherwise, the different rates of P-fertilizer did not show significant effect on maturity, plant height and Number of branches per plant. The different N-fertilizer rates show significant effect on number of branches per plant and significantly smaller number branches per plant was observed from plots receiving no N-fertilizer. No significant interaction effect of the different N and P fertilizer rates on these parameters. Table-3. Main Effect of DAP & Urea on tomato yield components in 2002 E.C Main Effect Treatment No. Of Clusters/plant No. of Matured Fruits/plant Fruit length (cm) Fruit Diameter (cm) DAP 0 11.33 26.94 6.57 4.19 100 9.91 25.37 6.54 4.36 150 11.48 26.51 6.57 3.98 200 14.08 33.05 6.69 4.26 Prob 0.06 0.08 0.84 0.23 SE 1.05 2.24 0.13 4.20 CV 33.58 30.97 6.73 11.60 Urea 0 9.63 21.93 b 6.33 3.95 50 12.72 28.56 ab 6.63 4.24 100 11.99 30.31 ab 6.67 4.13 150 12.49 31.07 a 6.74 4.47 Prob 0.16 0.025 0.12 0.05 SE 1.05 2.24 0.13 0.13 CV 33.58 30.97 6.73 11.60 Treatment (DAP & Urea) Days to 50% flowering Days to 50% maturity Plant Height (cm) No. Of Branches/plant 0*0 32.67 74.33 46.53 4.77 0*50 33.00 74.33 45.53 5.77 0*100 33.00 75.67 46.40 5.33 0*150 33.33 76.00 45.37 4.80 100*0 32.00 75.00 38.00 4.84 100*50 30.67 75.33 46.83 5.94 100*100 30.67 75.00 42.17 4.77 100*150 30.67 74.67 42.43 5.61 150*0 32.33 75.67 36.10 3.99 150*50 31.33 74.67 43.70 5.09 150*100 30.67 75.00 40.83 5.57 150*150 31.33 74.33 48.33 5.83 200*0 31.67 75.00 47.40 5.03 200*50 32.00 74.67 49.37 6.00 200*100 32.00 75.67 49.33 6.34 200*150 30.00 75.00 49.83 6.32 Prob. 0.7533 0.8384 0.9484 0.6095 SE 0.8579 0.8333 4.6963 0.5213 CV 4.95 1.72 17.38 18.30
  • 4. Journal of Agriculture and Crops, 2016, 2(3): 24-30 27 Table-4. Interaction Effects of DAP and Urea on tomato yield components in 2002 E.C Treatment (DAP & Urea) No. Of Clusters/plant No. of Matured Fruits/plant Fruit length (cm) Fruit Diameter (cm) 0*0 10.50 25.17 6.41 3.97 0*50 13.22 27.94 6.58 4.50 0*100 11.11 28.39 6.610 4.25 0*150 10.50 26.28 6.70 4.06 100*0 7.87 18.39 6.21 4.02 100*50 9.83 24.94 6.73 4.25 100*100 10.33 27.50 6.43 4.08 100*150 11.61 30.68 6.81 5.07 150*0 8.67 16.61 6.25 3.68 150*50 12.17 27.39 6.73 4.12 150*100 11.83 28.22 6.75 3.91 150*150 13.28 33.83 6.55 4.21 200*0 11.44 27.55 6.46 4.12 200*50 15.67 34.00 6.50 4.08 200*100 14.67 37.16 6.91 4.30 200*150 14.55 33.50 6.916 4.55 Prob. 0.1025 0.9241 0.9573 0.4952 SE 2.3184 4.8116 0.2748 0.2646 CV 33.58 30.97 6.73 11.60 No significant main and interaction effects of the different rates of N and P-fertilizers on the yield components of tomato except that higher rate of N-fertilizer resulted in significantly higher number of matured fruits per plant. Table-5. Main Effects of DAP and Urea on Tomato Yield in 2002 E.C Main Effect Treatment Wt of Marketable Fruits (kg/plant) Wt of unmarketable fruits (kg/plant) Wt of marketable Fruits (kg/ha) Wt of unmarketable Fruits (kg/ha DAP 0 0.71 0.13 18520 3295 100 0.56 0.12 18645 3680 150 0.60 0.10 17098 3496 200 0.78 0.10 22880 3326 Prob 0.1017 0.9486 0.3041 0.3277 SE 0.0677 0.0436 2229 409.94 CV 26.71 23.04 29.63 20.19 Urea 0 0.56 0.14 16083 2761 50 0.67 0.12 20802 4027 100 0.72 0.09 21453 4005 150 0.72 0.10 20807 4005 Prob 0.3008 0.8075 0.3057 0.0886 SE 0.0677 0.0436 2229 409.94 CV 26.71 23.04 29.63 20.19
  • 5. Journal of Agriculture and Crops, 2016, 2(3): 24-30 28 Table-6.Interaction effect of N and P Fertilizer on tomato Marketability in 2002 E.C Treatment (DAP & Urea) Wt of Marketable Fruits (kg/plant) Wt of unmarketable fruits (kg/plant) Wt of marketable Fruits (kg/ha) Wt of unmarketable Fruits (kg/ha) 0*0 0.66 0.32 20083 3300 0*50 0.73 0.06 19875 3895 0*100 0.78 0.07 22270 3425 0*150 0.69 0.08 19854 2562 100*0 0.41 0.05 13812 2200 100*50 0.58 0.25 20729 3837 100*100 0.60 0.083 21541 4683 100*150 0.68 0.09 18500 4000 150*0 0.43 0.10 12416 2325 150*50 0.62 0.08 19770 3883 150*100 0.57 0.10 16000 3429 150*150 0.77 0.11 20208 4350 200*0 0.73 0.10 18020 3220 200*50 0.73 0.10 22833 4491 200*100 0.92 0.10 26000 4483 200*150 0.74 0.12 24666 5108 Prob. 0.9614 0.5004 0.9930 0.8279 SE 0.1468 0.0878 4913 863.83 CV 26.71 23.04 29.63 20.19 No significant main and interaction effects of the different rates of N and P-fertilizers on the marketable and non-marketable yield of tomato. Table-7. Effect of DAP fertilizer on different growth and yield parameters of Tomato in 2003 E.C DAP rate Days to maturity Plant height No of Branches /plant No of Cluster /plant No of Fruits /plant Marketab le yield (g/p) Unmark etable yield (g/p) Fruit length (cm) Fruit diameter (cm) 0 86.2500a 34.942b 3.9833b 4.075d 14.600c 316.08c 62.03c 6.5167 3.7667b 100 79.4167b 35.325b 4.5083ab 6.1167c 21.942b 548.33b 117.11b 6.2917 3.9667ab 150 78.9167b 37.533ab 4.6a 7.3b 23.208ab 616.83ab 129.99b 6.3333 4.0250ab 200 76.7500c 40.067a 4.6417a 8.6083a 26.075a 704.97a 164.08a 6.4417 4.1500a LSD 1.8702 0.5382 1.0919 1.0919 3.7346 137.13 33.22 ns 0.2708 CV 2.788229 10.50291 14.53959 20.04194 20.84625 30.04857 33.63076 6.504033 8.155962 The interaction effect of DAP and Urea fertilizers did not show any significant different in all parameters. However there were significant differences among the different levels of DAP and Urea. With no DAP application the days to maturity was significantly higher, while the least was on 200 kg/ha. The number of clusters per plant also was significantly highest at 200 kg/ha. Highest number of fruits per plant was found at 200 kg/ha but not statistically difference from 150 kg/ha. Statistically significant and highest yield per plant was recorded at the highest rate of DAP (200 kg/ha). The significantly lowest yield was found at the zero level (with out DAP applied). The marketable yield in Q/ha of the rates is 939.96, 822.44, 731.1067 and 421.44 for 200, 150, 100 and 0 rates respectively.
  • 6. Journal of Agriculture and Crops, 2016, 2(3): 24-30 29 Table-8. Effect of Urea fertilizer on different growth and yield parameters of Tomato in 2003 E.C Urea rate Days to maturity Plant height No of Branches /plant No of Cluster /plant No of Fruits /plant Marketable yield (g/p) Unmarketable yield (g/p) Fruit length (cm) Fruit diameter (cm) 0 80.0833 35.775 4.3000 5.6833b 17.925b 431.64b 93.83b 6.1917b 4.0083a 50 79.8333 37.883 4.5167 6.5750ab 22.100a 563.45ab 124.14ab 6.3667ab 3.9250a 100 80.2500 36.525 4.6167 6.8833ab 22.392a 582.54a 124.48ab 6.4250ab 3.9083a 150 81.1667 37.683 4.3000 6.9583a 23.408a 608.57a 130.78a 6.6000a 4.0667a LSD ns ns ns 1.0919 3.7346 137.13 33.22 0.3473 ns CV 2.788229 10.50291 14.53959 20.04194 20.84625 30.04857 33.63076 6.504033 8.155962 There is no significant difference among the levels of Urea for the growth parameters. The maximum cluster per plant was observed at the highest rate of urea applied. But statistically similar with 100 kg/ha and 50 kg/ha rates. Statistically least number of fruits per plant was observed at the zero rate of urea. A similar result was observed for marketable yield. Table-9. Partial budget analysis of tomato produced by applying phosphorus fertilizer E.C Fertilizer Rate (kgP2O5/ha) Fertilizer Cost (Birr) Fertilizer Application & Transport Cost [Birr] Total variable cost (TVC) [Birr] Fruit yield (Q/ha) Total Revenue (TR) [Fruit yield *600] Net Revenue [TR- TVC] Marginal Rate of return (ratio) Marginal Rate of return (%) 0 0 0 0 190 114000 114000 40 4000 100 1200 25 1225 275 165000 163775 21.5 2150 150 1800 50 1850 298 179100 177250 47.5 4750 200 2400 75 2475 349 209400 206925 Table-10. Partial budget analysis of tomato produced by applying urea fertilizer Fertilizer Rate (kgP2O5/ha) Fertilizer Cost (Birr) Fertilizer Application & Transport Cost [Birr] Total variable cost (TVC) [Birr] Fruit yield (Q/ha) Total Revenue (TR) [Fruit yield *600] Net Revenue [TR- TVC] Marginal Rate of return (ratio) Marginal Rate of return (%) 0 0 0 0 223 133800 133800 32 3200 50 1200 25 1225 291 174600 173375 7.8 780 100 1800 37 1837 300 180000 178163 7.8 780 150 2400 50 2450 309 185400 182950 As indicated the partial budget analysis at the above two tables, increasing rate of phosphorus and urea fertilizers increased profitability until 200 kg/ha and 150 kg/ha respectively. 4. Conclusion and Recommendation The two years result of the research showed that application of phosphorus and urea fertilizers is quite important for tomato production. The rate of application is also determinant for productivity and profitability. Moreover, a50 kg/ha urea fertilizer and 200 kg/phosphorus fertilizer could be suggested to apply. Therefore these can be used as one package of tomato production technology and all growers better to apply. References Lemma, D., Yayeh, Z. and Herath, E. (1992).'Agronomic studies in tomato and capsicum. Herath and Lemma (eds.). Horticulture Research and Development in Ethiopia'.Proceedings of the Second National Horticultural Workshops of Ethiopia.Addis Ababa, Ethiopia. Mehla, C. P., Srivastava, V. K., Jage, S., Mangat, R., Singh, J. and Ram, M. (2000). Response of tomato varities to N and P fertilization and spacing. Indian Jornal of Agricultural Research, 34(3): 182-84.
  • 7. Journal of Agriculture and Crops, 2016, 2(3): 24-30 30 Sharma, K. C., Singh, A. K. and Sharma, S. K. (1999). Studies on Nitrogen and Phosphorus requirement of tomato hybrids. Annals of Agricultural Research, 20(4): 339-402.