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RESPONSE OF BARLEY (Hordeum vulgare L.)GENOTYPES
TO INORGANIC FERTILIZER TYPES UNDER ACIDIC SOIL
OF HAGERESELAM, SOUTHERN ETHIOPIA
11:42:00 AM 1
M.sc Thesis
By: Hailu Hameso
Advisor: Walelign Worku (Professor)
Co-Advisor: Tewodros Ayalew (Associate Professor)
Hawassa, Ethiopia
July 2020
OUTLINE
 Introduction
 Objective of the study
 Materials and Methods
 Treatments and experimental design
 Collection of data
 Data analysis
 Results and Discussions
 Summary and Reccomendation
11:42:00 AM 2
1. INTRODUCTION
 Barley is one of the most important cereal crops in the world, ranking fourth in
production area next to wheat, maize and rice (USDA, 2017)
 Barley is a staple food grain, especially for Ethiopian highlanders
 Its grain contains carbohydrate, starch, protein and small amount of fat
(Martin et al., 2006)
11:42:00 AM 3
Introduction……….
 The national average yield of barley in Ethiopia is low (2.16 ton ha-1)
(CSA, 2018)
 Due to declining soil fertility
(Amsal and Tanner, 2001)
 Depletion of soil nutrients especially N and P could be one of the major
reasons for the decreases in grain yield of barley
11:42:00 AM 4
Introduction…
 Similarly, nutrients such as sulfur and boron are also, found to be limiting in many
soils of Ethiopia (Atlas, 2016)
 Soil acidity is the most important soil factors,
 Which affect plant growth, and
 ultimately limit crop productivity
 Acidic soils may not adequately respond to inorganic fertilizers and/or may require
application of higher rates (Achalu, et al., 2012)
11:42:00 AM 5
Introduction…
 So far in Ethiopia only a few fertilizer and other agronomic trials have been
done
 However, response of plants to fertilizer sources vary with mainly
 Varieties and soil conditions
 Soil acidity problems can be overcome through use of
 Adequate plant nutrition systems
 The use of nutrient efficient and responder genotype
(Kochian et al., 2004)
11:42:00 AM 6
Introduction…
 Genotypic variation in response under various fertilizers application has been
reported
 Barley wheat and other cereal crops under normal PH
 However, the information in barley genotypic variation for inorganic fertilizers
types under acidic soil is low
11:42:00 AM 7
Introduction…
 The study of barley genotypes response to soil acidity
and
 to inorganic fertilizers application has been
limited in the study area
 Improving barley productivity through fertilizer management
and
 selection of genotypes which is respond
to fertilizer under acidic soil is important
11:42:00 AM 8
Objectives…
 Main objective was:
 To examine the response of barley genotypes to inorganic fertilizer sources
under acidic soil of Hagerselam, Sidama region, Southern Ethiopia
11:42:00 AM 9
 Specific objectives
 To investigate the effects of inorganic fertilizers on growth, yield and yield
components of barley genotypes on acidic soil
 To determine the best performing barley genotypes in terms of yield and its
components under acidic soil
 To analyze the economic feasibility of fertilizer application for barley
production under acidic soil conditions
11:42:00 AM 10
2. MATERIALS AND METHODS
Table 1. Location of the Study Area
Longitude 380 27’44’’E
Latitude 060 26’59’’, N
Altitude 2648 m a s l
Climate Sub-humid Type with Bi-modal
Rainfall Pattern
Precipitation 1000-to- 1300 mm
Rainy Season June to September
2.2 Treatments and Experimental design
 The experiment consisted of 20 treatment combinations, in factorial arrangement
 It laid out in Randomized Complete Block Design (RCBD) with three
replications
Table 2. Treatments of genotypes and phosphorus fertilizer types
11:42:00 AM 12
Genotypes Types of Fertilizers
217176b 0 fertilizer
240478 NPS
234911b NPSB
208855b DAP
HB-1307
Seed Sowing and Fertilizer application
 Seeds were sown in 8 rows at each plot in August 2019
 Treatments were randomly assigned to the experimental plots of each replication
 The type fertilizers were applied at sowing depending on the treatment and
covered with soil
11:42:00 AM 13
 Cultural Practice
 Other Agronomic managements such as
 weeding, cultivation and pest control
were done as per the recommendation
for barley production in Ethiopia
11:42:00 AM 14
2.4 Collection of Data
 Crop phenology
 Days to Emergence: Recorded by counting the number of days taken from
date of sowing to plants started emerge
 Days to Heading: by counting the number of days from sowing to plants
reached heading
11:42:00 AM 15
 Crop phenology ……….
 Days to Physiological Maturity: were determined as the number of days
from sowing to plants reached maturity
 Growth attributes
 Plant Height: The height of ten randomly selected plants was measured
from the ground to the tip of the plant and averaged and expressed as cm
11:42:00 AM 16
 Yield Attributes
 Spike Length: was the length of the spike from the node where the first
spike branches emerge to the tip of the spike, from an average of five selected
plants per plot
 Numbers of Tillers: were determined by counting the tillers from an area
of 1 m x 1 m plants by throwing a quadrant into the middle portion of each plot
11:42:00 AM 17
 Yield Attributes……….
 Grain per Spike: Five ears were taken randomly from each plot and number
grain/ spike, was measured at physiological maturity of the crop prior to
harvest
 1000- grain Weight (g): 1000 seeds were counted in samples drawn from
the finally cleared seed and weighed (g)
11:42:00 AM 18
 Harvest Index: was calculated by dividing grain yield by the total above ground
air dry biomass yield
 Yields
 Grain Yield: After threshing and winnowing, clean seeds obtained from
individual net plot were weighed separately and converted into ton ha-1
 Straw Yield : was measured by substracting the grain yield from the total
biomass yield after threshing
11:42:00 AM 19
 Yields………
 Biomass Yield : was measured by weighing the sun dried total plant
biomass (straw + grain) of the net plot
 GYRI
 Grain Yield Response Index: was calculated for each genotypes by
selecting fertilizer type that caused the highest response
GYRI=
Grain Yield Under NPSB Fertilizer Applid−Grain Yield Under Zero Fertilizer
amount of Fertilizer In Kg
11:42:00 AM 20
2.4 Data analysis
 The data collected were subjected to analysis of variance (ANOVA) using GLM
procedure within SAS version 9.0
 For parameters whose ANOVA tested significant with respect to treatment
effects, further means separation was done using least significant difference
method (LSD) at 0.05 probability level
11:42:00 AM 21
3. Results and Discussions
11:42:00 AM 22
Table 5: Physic- chemical Characteristics of the Experimental soil before sowing
Soil properties Value
Sand 31%
Silt 32%
Clay 37%
Texture class Clay loam
PH 4.48
OC 2.38
TN% 0.14
Available P(mg kg-1) 3.56
B (mg kg-1) 0.47
CEC (Cmol (+) kg-1) 19.78
Exchangeable acidity (cmolc kg-1) 0.92
Table 6: Main Effects on Days to Emergence and Heading under Acidic Soil
11:42:00 AM
Treatments Day to emergence Day to heading
Fertilizers types
0 8 78a
DAP 8 73b
NPS 8 72b
NPSB 8 71b
Fertilizer NS ***
LSD - 1.15
Genotypes
217176b 7c 65d
240478 6d 56e
234911b 8b 72c
208855b 9a 81b
HB- 1307 9a 93a
Genotype *** ***
Fertilizer x genotypes NS NS
CV
LSD
2.89 2.13
0.19 1.29
 Aynewa et al. (2013);
 Shrivastava et al. (1992)
Table 7: Interaction Effect on Physiological Maturity
11:42:00 AM
Means followed by the same letter(s) are not significantly different
Genotypes
Days to physiological maturity
Types of fertilizer
Control DAP NPS NPSB
HB-1307 140a 120b 120b 120b
208855b 106c 100d 102d 99d
234911b 92e 85fg 86f 84f
217176b 90e 83fg 85fg 82gh
240478 85fg 79hi 79hi 77i
Interaction ***
CV 2.306
LSD 3.73
 Wosene et al. (2015);
Table 8: Interaction Effect on Plant Height and Number of Effective
Tillers
Plant height (cm) Number of effective tiller
(m2)
Types of fertilizers
Genotypes Control DAP NPS NPSB Control DAP NPS NPSB
217176b 71.24gh 109.03a 105.95ab 110.28a 35.667ef 65.33ab 62.3abc 69.33a
240478 73.81gh 102.7abc 98.2bc 108.86a 38.66e 59.3bcd 58.6bcd 65.0ab
234911b 66.77hi 87.51de 85.59ef 94.98cd 30.33ef 54.0d 53.3d 55.3cd
HB-1307 62.89i 76.25gh 75.98gh 79.497fg 28.3gh 36.0ef 36.0ef 36.33ef
208855b 68.61hi 75.807gh 74.673gh 79.843efg 22.66h 24.6gh 24.66gh 27.3gh
Interaction *** ***
CV 5.69 9.55
LSD 8.16 7.01
11:42:00 AM 25
 SHahzad et al. (2007) and
 Frehiwot et al. (2014)
Table 9: Main Effect on Spike Length, Number of Grain per Spike and
Thousand Grain Weight
11:42:00 AM 26
Means with the same letter(s) are not significantly different
SL NGS 1000-GW
Fertilizers
NPSB 9.9093a 41.901a 37.5120a
DAP 9.4320ab 39.351b 36.2160ab
NPS 8.8880b 38.416b 35.5847b
0 6.7213c 26.120c 20.9560c
Fertilizer
LSD
***
0.72
***
2.33
***
1.47
Genotypes
217176b 10.9858a 46.231a 38.0333a
240478 10.3292a 43.502b 35.9700b
234911b 8.2367b 39.474c 31.1600c
HB- 1307 6.8425c 32.723d 29.9300c
208855b 7.294c 20.306e 27.7425d
Genotype *** *** ***
Fertilizer X genotypes NS NS NS
CV
LSD
11.26
0.81
8.65
2.6
6.11
1.64
 Bekalu and Mamo et al.
(2011);
 Guluma et al. (2010) and
 Yestedaw et al. (2013)
11:42:00 AM 27
Figure 1: Interaction effects of barely genotypes and inorganic
fertilizer types with regard to above ground biomass yield (ton ha-1).
0
2
4
6
8
10
12
217176b 240478 234911b HB-1307 208855b
a ab
cd
de
fg
ab ab
cd
ef
gi
bc bc
cd
efg
ij
ijk
jkl jkl
kl
l
Above
ground
total
biomass
yield
(ton
/ha
-1
)
Barley Genotypes
NPSB
DAP
NPS
cont
 Fayera et al. (2014)
11:42:00 AM 28
Figure2: Interaction effects of barely genotypes and inorganic fertilizer
application with regard to grain yield (ton ha -1).
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
217176b 240478 234911b HB-1307 208855b
a
ab
cd
def
hi
ab
b
cde
fg
i
c c
efg
gh
ij
jk kl
m lm
m
Grain
yied
in
t
ha-
1
Barley genotypes
NPSB
DAP
NPS
Controll
 Fayera et al. (2014)
Table 10: Main Effect on Straw Yield and Harvest Index under Acidic Soil
11:42:00 AM 29
Means followed by the same letters are not significantly different at (p ≤ 0.05)
Fertilizers Straw yield ton ha-1 Harvest index (%)
NPSB
DAP
NPS
5.908a
5.8147a
5.60a
38.593a
37.69ab
35.487b
0
Fertilizer
3.2687b
***
28.993c
***
LSD 0.56 2.96
Genotypes
217176b 5.88a 38.63a
240478 5.93a 37.38ab
234911b 5.65a 32.025c
208855b 3.7325c 33.208c
HB- 1307 4.54b 34.767bc
Genotype *** ***
LSD 0.62 3.32
Fertilizer X genotypes NS NS
CV 14.71 11.42
 Amsal et al. (2000) and
 Shahryar and Mollasadeghi
(2008)
 Harfe. (2017)
11:42:00 AM 30
Figure 3: Grain Yield Response Index
Where: GYRI: grain yield response index, ER: efficient and
responsive, NER: not efficient and responsive and NENR: not efficient
and not responsive
217176b &
240478 ER
234911b &
HB-1307
NER
208855b
NRNE
0
10
20
30
40
50
60
0 1000 2000 3000 4000 5000 6000
GYRI
Table11: Correlation Coefficients between Mean Agronomic Traits of Barley Genotypes
Grown With Types of Inorganic Fertilizers under Acidic Soil at Hagerselam
11:42:00 AM 31
DE DH DPM PH NET SL NGS AGBM GY SY TGW
DE 1000
DH 0.89*** 1000
DM 0.79*** 0.93*** 1000
PH -0.68*** -0.72*** -0.68** 1000
NET -0.74*** -0.72*** -0.66*** 0.91** 1000
SL -0.69*** -0.74*** -0.7*** 0.87*** 0.81*** 1000
NG -0.68*** -0.64*** -0.58*** 0.83*** 0.92*** 0.80*** 1000
BY -0.49*** -0.58*** -0.54*** 0.84*** 0.84*** 0.77*** 0.84*** 1000
GY -0.53*** -0.57*** -0.53*** 0.9*** 0.88*** 0.81*** 0.86*** 0.95*** 1000
SY -0.43** -0.54*** -0.52*** 0.73*** 0.76*** 0.68*** 0.76*** 0.97*** 0.84*** 1000
TGW -0.43** -0.52*** -0.49*** 0.88*** 0.80*** 0.81*** 0.79*** 0.91*** 0.94*** 0.82*** 1000
HI -0.35** 0.34*** -0.29** 0.68*** 0.61*** 0.59*** 0.59*** 0.54*** 0.76*** 0.33** 0.72***
4. SUMMARY AND RECOMMENDATION
 In the increasing population, there is a growing need to improve crop productivity
 However, the majority of tropical soils like Ethiopia have limited capacity of
producing crop yields because of production constraints
 Due to such constraints, yield is usually below the genetic potential of barley
11:42:00 AM 32
 Summary And Recommendation………
 Alternatives ways to overcome such problem is
 supplying appropriate type of nutrients
 use of nutrient efficient and responder genotype
 Study was conducted to evaluate the response of barley genotypes to
inorganic fertilizers types under acidic soil
11:42:00 AM 33
 The result showed that
 Day to emergence, day to heading,
 spike length, number of grain per Spike, were significantly influenced
 1000 grain weight and harvest index by main effects of genotypes
and types of fertilizers
 Day to maturity, plant height, number of effective were significantly affected
 tillers, above ground biomass, straw yield by interaction effects
 and grain yield
11:42:00 AM 34
 Summary And Recommendation………
 Genotype 217176b with NPSB fertilizer gave the highest grain yield (4.9 ton
ha-1)
 But was statistically not par with that obtained under DAP fertilizer with same
genotype (4.72 ton ha-1)
 This also had no significant difference with grain yield obtained from genotype
240478 with NPSB fertilizer (4.58 ton ha-1)
 Summary and Recommendation………
Two genotypes (217176b and 240478) were grouped as efficient and
responder genotypes
Grain yield was positively and significantly correlated with plant height and
yield components
11:42:00 AM 36
 Summary and Recommendation..
 The result indicated considerable barley genotypic variation in terms of growth
and yield characters,
 and differently responded to types of inorganic fertilizers under acidic soil
 The highest (MRR %) 3745.35 was recorded from the application of NPSB
fertilizer for genotype 217176b
11:42:00 AM 37
 Summary and Recommendation………
 Similarly, the same genotype with application DAP gave a comparatively high
net benefit and MRR
 Genotype 240478 either with NPSB or DAP fertilizer provided adequately
high net benefit and MRR much greater than the minimum requirement
(100%)
11:42:00 AM 38
 Summary and Recommendation………
 Given the fact that grain yield performance between the two varieties in
combination with either NPSB or DAP is not statistically significant,
 Either of the two genotypes with the recommended rates of DAP and NPSB
fertilizers can be used
 for production of barley in acidic soils of Hagereselam
 and acidic soils of similar agro-ecologies in the highlands of Ethiopia
11:42:00 AM 39
 Summary and Recommendation………
 However, it would be too early to reach at a conclusive recommendation,
since the current study was carried out only in one location and one
cropping season
 Further studies that are replicated at least over seasons are needed
 To investigate response of the two promising barley genotypes to application of
inorganic fertilizers under acidic soil conditions
11:42:00 AM 40
11:42:00 AM 41
THANK YOU FOR YOUR ATTENTION!

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Best Hailu pp.pptx

  • 1. RESPONSE OF BARLEY (Hordeum vulgare L.)GENOTYPES TO INORGANIC FERTILIZER TYPES UNDER ACIDIC SOIL OF HAGERESELAM, SOUTHERN ETHIOPIA 11:42:00 AM 1 M.sc Thesis By: Hailu Hameso Advisor: Walelign Worku (Professor) Co-Advisor: Tewodros Ayalew (Associate Professor) Hawassa, Ethiopia July 2020
  • 2. OUTLINE  Introduction  Objective of the study  Materials and Methods  Treatments and experimental design  Collection of data  Data analysis  Results and Discussions  Summary and Reccomendation 11:42:00 AM 2
  • 3. 1. INTRODUCTION  Barley is one of the most important cereal crops in the world, ranking fourth in production area next to wheat, maize and rice (USDA, 2017)  Barley is a staple food grain, especially for Ethiopian highlanders  Its grain contains carbohydrate, starch, protein and small amount of fat (Martin et al., 2006) 11:42:00 AM 3
  • 4. Introduction……….  The national average yield of barley in Ethiopia is low (2.16 ton ha-1) (CSA, 2018)  Due to declining soil fertility (Amsal and Tanner, 2001)  Depletion of soil nutrients especially N and P could be one of the major reasons for the decreases in grain yield of barley 11:42:00 AM 4
  • 5. Introduction…  Similarly, nutrients such as sulfur and boron are also, found to be limiting in many soils of Ethiopia (Atlas, 2016)  Soil acidity is the most important soil factors,  Which affect plant growth, and  ultimately limit crop productivity  Acidic soils may not adequately respond to inorganic fertilizers and/or may require application of higher rates (Achalu, et al., 2012) 11:42:00 AM 5
  • 6. Introduction…  So far in Ethiopia only a few fertilizer and other agronomic trials have been done  However, response of plants to fertilizer sources vary with mainly  Varieties and soil conditions  Soil acidity problems can be overcome through use of  Adequate plant nutrition systems  The use of nutrient efficient and responder genotype (Kochian et al., 2004) 11:42:00 AM 6
  • 7. Introduction…  Genotypic variation in response under various fertilizers application has been reported  Barley wheat and other cereal crops under normal PH  However, the information in barley genotypic variation for inorganic fertilizers types under acidic soil is low 11:42:00 AM 7
  • 8. Introduction…  The study of barley genotypes response to soil acidity and  to inorganic fertilizers application has been limited in the study area  Improving barley productivity through fertilizer management and  selection of genotypes which is respond to fertilizer under acidic soil is important 11:42:00 AM 8
  • 9. Objectives…  Main objective was:  To examine the response of barley genotypes to inorganic fertilizer sources under acidic soil of Hagerselam, Sidama region, Southern Ethiopia 11:42:00 AM 9
  • 10.  Specific objectives  To investigate the effects of inorganic fertilizers on growth, yield and yield components of barley genotypes on acidic soil  To determine the best performing barley genotypes in terms of yield and its components under acidic soil  To analyze the economic feasibility of fertilizer application for barley production under acidic soil conditions 11:42:00 AM 10
  • 11. 2. MATERIALS AND METHODS Table 1. Location of the Study Area Longitude 380 27’44’’E Latitude 060 26’59’’, N Altitude 2648 m a s l Climate Sub-humid Type with Bi-modal Rainfall Pattern Precipitation 1000-to- 1300 mm Rainy Season June to September
  • 12. 2.2 Treatments and Experimental design  The experiment consisted of 20 treatment combinations, in factorial arrangement  It laid out in Randomized Complete Block Design (RCBD) with three replications Table 2. Treatments of genotypes and phosphorus fertilizer types 11:42:00 AM 12 Genotypes Types of Fertilizers 217176b 0 fertilizer 240478 NPS 234911b NPSB 208855b DAP HB-1307
  • 13. Seed Sowing and Fertilizer application  Seeds were sown in 8 rows at each plot in August 2019  Treatments were randomly assigned to the experimental plots of each replication  The type fertilizers were applied at sowing depending on the treatment and covered with soil 11:42:00 AM 13
  • 14.  Cultural Practice  Other Agronomic managements such as  weeding, cultivation and pest control were done as per the recommendation for barley production in Ethiopia 11:42:00 AM 14
  • 15. 2.4 Collection of Data  Crop phenology  Days to Emergence: Recorded by counting the number of days taken from date of sowing to plants started emerge  Days to Heading: by counting the number of days from sowing to plants reached heading 11:42:00 AM 15
  • 16.  Crop phenology ……….  Days to Physiological Maturity: were determined as the number of days from sowing to plants reached maturity  Growth attributes  Plant Height: The height of ten randomly selected plants was measured from the ground to the tip of the plant and averaged and expressed as cm 11:42:00 AM 16
  • 17.  Yield Attributes  Spike Length: was the length of the spike from the node where the first spike branches emerge to the tip of the spike, from an average of five selected plants per plot  Numbers of Tillers: were determined by counting the tillers from an area of 1 m x 1 m plants by throwing a quadrant into the middle portion of each plot 11:42:00 AM 17
  • 18.  Yield Attributes……….  Grain per Spike: Five ears were taken randomly from each plot and number grain/ spike, was measured at physiological maturity of the crop prior to harvest  1000- grain Weight (g): 1000 seeds were counted in samples drawn from the finally cleared seed and weighed (g) 11:42:00 AM 18
  • 19.  Harvest Index: was calculated by dividing grain yield by the total above ground air dry biomass yield  Yields  Grain Yield: After threshing and winnowing, clean seeds obtained from individual net plot were weighed separately and converted into ton ha-1  Straw Yield : was measured by substracting the grain yield from the total biomass yield after threshing 11:42:00 AM 19
  • 20.  Yields………  Biomass Yield : was measured by weighing the sun dried total plant biomass (straw + grain) of the net plot  GYRI  Grain Yield Response Index: was calculated for each genotypes by selecting fertilizer type that caused the highest response GYRI= Grain Yield Under NPSB Fertilizer Applid−Grain Yield Under Zero Fertilizer amount of Fertilizer In Kg 11:42:00 AM 20
  • 21. 2.4 Data analysis  The data collected were subjected to analysis of variance (ANOVA) using GLM procedure within SAS version 9.0  For parameters whose ANOVA tested significant with respect to treatment effects, further means separation was done using least significant difference method (LSD) at 0.05 probability level 11:42:00 AM 21
  • 22. 3. Results and Discussions 11:42:00 AM 22 Table 5: Physic- chemical Characteristics of the Experimental soil before sowing Soil properties Value Sand 31% Silt 32% Clay 37% Texture class Clay loam PH 4.48 OC 2.38 TN% 0.14 Available P(mg kg-1) 3.56 B (mg kg-1) 0.47 CEC (Cmol (+) kg-1) 19.78 Exchangeable acidity (cmolc kg-1) 0.92
  • 23. Table 6: Main Effects on Days to Emergence and Heading under Acidic Soil 11:42:00 AM Treatments Day to emergence Day to heading Fertilizers types 0 8 78a DAP 8 73b NPS 8 72b NPSB 8 71b Fertilizer NS *** LSD - 1.15 Genotypes 217176b 7c 65d 240478 6d 56e 234911b 8b 72c 208855b 9a 81b HB- 1307 9a 93a Genotype *** *** Fertilizer x genotypes NS NS CV LSD 2.89 2.13 0.19 1.29  Aynewa et al. (2013);  Shrivastava et al. (1992)
  • 24. Table 7: Interaction Effect on Physiological Maturity 11:42:00 AM Means followed by the same letter(s) are not significantly different Genotypes Days to physiological maturity Types of fertilizer Control DAP NPS NPSB HB-1307 140a 120b 120b 120b 208855b 106c 100d 102d 99d 234911b 92e 85fg 86f 84f 217176b 90e 83fg 85fg 82gh 240478 85fg 79hi 79hi 77i Interaction *** CV 2.306 LSD 3.73  Wosene et al. (2015);
  • 25. Table 8: Interaction Effect on Plant Height and Number of Effective Tillers Plant height (cm) Number of effective tiller (m2) Types of fertilizers Genotypes Control DAP NPS NPSB Control DAP NPS NPSB 217176b 71.24gh 109.03a 105.95ab 110.28a 35.667ef 65.33ab 62.3abc 69.33a 240478 73.81gh 102.7abc 98.2bc 108.86a 38.66e 59.3bcd 58.6bcd 65.0ab 234911b 66.77hi 87.51de 85.59ef 94.98cd 30.33ef 54.0d 53.3d 55.3cd HB-1307 62.89i 76.25gh 75.98gh 79.497fg 28.3gh 36.0ef 36.0ef 36.33ef 208855b 68.61hi 75.807gh 74.673gh 79.843efg 22.66h 24.6gh 24.66gh 27.3gh Interaction *** *** CV 5.69 9.55 LSD 8.16 7.01 11:42:00 AM 25  SHahzad et al. (2007) and  Frehiwot et al. (2014)
  • 26. Table 9: Main Effect on Spike Length, Number of Grain per Spike and Thousand Grain Weight 11:42:00 AM 26 Means with the same letter(s) are not significantly different SL NGS 1000-GW Fertilizers NPSB 9.9093a 41.901a 37.5120a DAP 9.4320ab 39.351b 36.2160ab NPS 8.8880b 38.416b 35.5847b 0 6.7213c 26.120c 20.9560c Fertilizer LSD *** 0.72 *** 2.33 *** 1.47 Genotypes 217176b 10.9858a 46.231a 38.0333a 240478 10.3292a 43.502b 35.9700b 234911b 8.2367b 39.474c 31.1600c HB- 1307 6.8425c 32.723d 29.9300c 208855b 7.294c 20.306e 27.7425d Genotype *** *** *** Fertilizer X genotypes NS NS NS CV LSD 11.26 0.81 8.65 2.6 6.11 1.64  Bekalu and Mamo et al. (2011);  Guluma et al. (2010) and  Yestedaw et al. (2013)
  • 27. 11:42:00 AM 27 Figure 1: Interaction effects of barely genotypes and inorganic fertilizer types with regard to above ground biomass yield (ton ha-1). 0 2 4 6 8 10 12 217176b 240478 234911b HB-1307 208855b a ab cd de fg ab ab cd ef gi bc bc cd efg ij ijk jkl jkl kl l Above ground total biomass yield (ton /ha -1 ) Barley Genotypes NPSB DAP NPS cont  Fayera et al. (2014)
  • 28. 11:42:00 AM 28 Figure2: Interaction effects of barely genotypes and inorganic fertilizer application with regard to grain yield (ton ha -1). 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 217176b 240478 234911b HB-1307 208855b a ab cd def hi ab b cde fg i c c efg gh ij jk kl m lm m Grain yied in t ha- 1 Barley genotypes NPSB DAP NPS Controll  Fayera et al. (2014)
  • 29. Table 10: Main Effect on Straw Yield and Harvest Index under Acidic Soil 11:42:00 AM 29 Means followed by the same letters are not significantly different at (p ≤ 0.05) Fertilizers Straw yield ton ha-1 Harvest index (%) NPSB DAP NPS 5.908a 5.8147a 5.60a 38.593a 37.69ab 35.487b 0 Fertilizer 3.2687b *** 28.993c *** LSD 0.56 2.96 Genotypes 217176b 5.88a 38.63a 240478 5.93a 37.38ab 234911b 5.65a 32.025c 208855b 3.7325c 33.208c HB- 1307 4.54b 34.767bc Genotype *** *** LSD 0.62 3.32 Fertilizer X genotypes NS NS CV 14.71 11.42  Amsal et al. (2000) and  Shahryar and Mollasadeghi (2008)  Harfe. (2017)
  • 30. 11:42:00 AM 30 Figure 3: Grain Yield Response Index Where: GYRI: grain yield response index, ER: efficient and responsive, NER: not efficient and responsive and NENR: not efficient and not responsive 217176b & 240478 ER 234911b & HB-1307 NER 208855b NRNE 0 10 20 30 40 50 60 0 1000 2000 3000 4000 5000 6000 GYRI
  • 31. Table11: Correlation Coefficients between Mean Agronomic Traits of Barley Genotypes Grown With Types of Inorganic Fertilizers under Acidic Soil at Hagerselam 11:42:00 AM 31 DE DH DPM PH NET SL NGS AGBM GY SY TGW DE 1000 DH 0.89*** 1000 DM 0.79*** 0.93*** 1000 PH -0.68*** -0.72*** -0.68** 1000 NET -0.74*** -0.72*** -0.66*** 0.91** 1000 SL -0.69*** -0.74*** -0.7*** 0.87*** 0.81*** 1000 NG -0.68*** -0.64*** -0.58*** 0.83*** 0.92*** 0.80*** 1000 BY -0.49*** -0.58*** -0.54*** 0.84*** 0.84*** 0.77*** 0.84*** 1000 GY -0.53*** -0.57*** -0.53*** 0.9*** 0.88*** 0.81*** 0.86*** 0.95*** 1000 SY -0.43** -0.54*** -0.52*** 0.73*** 0.76*** 0.68*** 0.76*** 0.97*** 0.84*** 1000 TGW -0.43** -0.52*** -0.49*** 0.88*** 0.80*** 0.81*** 0.79*** 0.91*** 0.94*** 0.82*** 1000 HI -0.35** 0.34*** -0.29** 0.68*** 0.61*** 0.59*** 0.59*** 0.54*** 0.76*** 0.33** 0.72***
  • 32. 4. SUMMARY AND RECOMMENDATION  In the increasing population, there is a growing need to improve crop productivity  However, the majority of tropical soils like Ethiopia have limited capacity of producing crop yields because of production constraints  Due to such constraints, yield is usually below the genetic potential of barley 11:42:00 AM 32
  • 33.  Summary And Recommendation………  Alternatives ways to overcome such problem is  supplying appropriate type of nutrients  use of nutrient efficient and responder genotype  Study was conducted to evaluate the response of barley genotypes to inorganic fertilizers types under acidic soil 11:42:00 AM 33
  • 34.  The result showed that  Day to emergence, day to heading,  spike length, number of grain per Spike, were significantly influenced  1000 grain weight and harvest index by main effects of genotypes and types of fertilizers  Day to maturity, plant height, number of effective were significantly affected  tillers, above ground biomass, straw yield by interaction effects  and grain yield 11:42:00 AM 34
  • 35.  Summary And Recommendation………  Genotype 217176b with NPSB fertilizer gave the highest grain yield (4.9 ton ha-1)  But was statistically not par with that obtained under DAP fertilizer with same genotype (4.72 ton ha-1)  This also had no significant difference with grain yield obtained from genotype 240478 with NPSB fertilizer (4.58 ton ha-1)
  • 36.  Summary and Recommendation……… Two genotypes (217176b and 240478) were grouped as efficient and responder genotypes Grain yield was positively and significantly correlated with plant height and yield components 11:42:00 AM 36
  • 37.  Summary and Recommendation..  The result indicated considerable barley genotypic variation in terms of growth and yield characters,  and differently responded to types of inorganic fertilizers under acidic soil  The highest (MRR %) 3745.35 was recorded from the application of NPSB fertilizer for genotype 217176b 11:42:00 AM 37
  • 38.  Summary and Recommendation………  Similarly, the same genotype with application DAP gave a comparatively high net benefit and MRR  Genotype 240478 either with NPSB or DAP fertilizer provided adequately high net benefit and MRR much greater than the minimum requirement (100%) 11:42:00 AM 38
  • 39.  Summary and Recommendation………  Given the fact that grain yield performance between the two varieties in combination with either NPSB or DAP is not statistically significant,  Either of the two genotypes with the recommended rates of DAP and NPSB fertilizers can be used  for production of barley in acidic soils of Hagereselam  and acidic soils of similar agro-ecologies in the highlands of Ethiopia 11:42:00 AM 39
  • 40.  Summary and Recommendation………  However, it would be too early to reach at a conclusive recommendation, since the current study was carried out only in one location and one cropping season  Further studies that are replicated at least over seasons are needed  To investigate response of the two promising barley genotypes to application of inorganic fertilizers under acidic soil conditions 11:42:00 AM 40
  • 41. 11:42:00 AM 41 THANK YOU FOR YOUR ATTENTION!