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Greener Journal of Soil Science and Plant Nutrition

Vol. 5(2), pp. 009-022, 2018

ISSN: 2384-6348

Copyright ©2018, the copyright of this article is retained by the author(s)

DOI Link: http://doi.org/10.15580/GJSSPN.2018.2.051518072

http://gjournals.org/GJSSPN

 

 

 

 

 

Progress of Soil Acidity Management Research in Ethiopia

 

 

FEKADU Mosissa

 

Greener Journal of Soil Science and Plant Nutrition, vol. 5, no. 2, pp. 009-022, 2018

 

 

Ethiopian Institute of Agricultural Research, Holeta Research Center, Ethiopia.

 

 

 

 

ARTICLE INFO

ABSTRACT

 

Article No.:051518072

Type: Review

DOI: 10.15580/GJSSPN.2018.2.051518072

 

 

This review paper tries to put together soil acidity management research based evidences generated recently. In the context of agricultural problem soils, acid soils are soils in which acidity dominates the problems related to agricultural land use. Soil acidity problems are increasing in the highland areas of Ethiopia. Application of lime coupled with fertilizer improves the productivity of crops in acid affected soils. In Nedjo condition, lime level 5 t ha-1 with 69 kg ha -1 phosphorus gave best yield (1346.2 kg ha -1) and (1635.5 kgha -1) of finger millet and teff respectively. Similarly, yield of faba bean was obtained by applications of 16 .5 (t ha-1) and 13(t ha-1) of lime along with 30 kg ha-1 P fertilizer at Bedi and Emdibir respectively.  Application of 16.5 t ha -1 lime with 30 P (kg ha-1) gave 212% yield increment over the control that has no lime but 30 P (kg ha -1).  Integrated reclamation approach centring lime-fertilizer and soil nutrients interaction is vital to establish cost effective and sustainable nutrient management of this soil.  50% FYM + 50% NP + 50% lime treatment gave significant yield and yield component of teff at Nedjo testing site, this result showed that proper knowledge and enhanced use of integrated soil fertility management technologies such as combined use of organic and inorganic fertilizers in the presence of a soil- conditioner  lime are vital in improving and sustaining crop production. From an experiment conducted to evaluate the effectiveness of limes produced at different locations in Ethiopia no statistical yield difference was observed, and this implies that both lime produced at Senkele (Oromia region) and Dejen (Amhara region) can successfully answer their regional lime needs. When Senkele lime, Dejen lime and Ca(OH)2 from Ghion gas factory were compared with Awash calcite and Awash dolomite, these two Awash products were greatly preferred. The reason might be mainly from the material they are processed and as well the technology under which they were crushed.

 

Submitted: 15/05/2018

Accepted:  31/05/2018

Published: 01/07/2018

 

*Corresponding Author

FekaduMosissa

E-mail: fekadu.mosisa@  yahoo.  com

 

 

Keywords:

soil acidity, nitosol, lime, pH, phosphorus, exchangeable acidity

 

 

 

 

 

 

INTRODUCTION

 

Soil acidity associated to Al toxicities, soil erosion and soil nutrient depletion are the main soil related constraints to agricultural development in parts of developing countries relying on agricultural to feed their growing population (ToleraAberaet al., 2006). In Ethiopia, huge surface areas of the highlands located at almost all regional states of the country are affected by soil acidity. From current ATA report it was estimated that about 43 % of the total arable land in Ethiopia is affected by soil acidity. Soil acidity problem is significant in the north-western, south-western, southern and central regions of the country which receive precipitation high enough to leach down soluble salts and/or basic cations appreciably from the surface layers (root zone) of the soils. Some of the well-known areas severely affected by soil acidity in Ethiopia are Ghimbi, Nedjo, Hossana, Sodo, Chencha, Hagere-Mariam and Awi Zone of the Amahara Regional State (MoARD, 2007).

Nitosol/Oxisol soils are the main soil classes dominated by soil acidity. Under acidic soil conditions there has been a gradual depletion of soil bases (such as Ca, Mg and K) and soil acidity developed. Soil acidity mainly at soil pH < 5.5 affects the growth of crops due to high concentration of aluminum (Al) and manganese (Mn), and deficiency of P, nitrogen (N), sulfur (S) and other nutrients (Abreha, 2013).

Over use of agricultural by products (crop residue) and continuous crop harvest (without proper fertilization), removal of cations (Wang et al., 2006) and continues use of acid forming inorganic fertilizers (Bolan et al., 1991)make important contribution to soil acidity development in most highland areas of Ethiopia.

Continuous application of chemical fertilizers withN and/or P nutrients only in the form of DAP and urea, in the country, has adversely affected soil physical properties such as soil structure and bulk density(Brady and Weil, 2008). Besides, the practice can aggravate soil acidification and depletion of macro and micro plant nutrients to amounts below critical level needed for optimal crop growth and production (Marschner and Rengal, 2007;Sposito, 2008; Fageriaet al., 2011). Thus, in Ethiopia, acidity related soil fertility problems are major production constraints reducing the productivity of the major crops grown in the country (IFPRI, 2010).

The detrimental effect of soil acidity on plant growth and yield is mainly attributed to the deficiency of phosphorus, which is caused by adsorption of P to colloidal fractions and conversion to insoluble Al and/or Fe compounds and toxicity of aluminum, iron and manganese (Sumner, 2000; Hocking, 2001; Brady and Weil, 2008). Deficiencies of calcium, magnesium, potassium and molybdenum have also been reported to limit crop yield in acid soils (Sumner, 2000).

Soil acidity problems are commonly corrected by applying lime. Surface liming ameliorates topsoil acidity in a relatively short term, but is generally slow in ameliorating subsoil acidity (Ernani et al., 2004).

Amelioration of soil acidity by surface liming to attain a pH range which is suitable for better crop production is crucial in order to get reasonable yields in acid prone areas.In order to alleviate the soil acidity problem using agricultural lime different research activities have been done with different organizations in different parts of the country.

For a long ago, different stakeholders, Agricultural Research Institutes (both federal and regional), Universities and nongovernmental organizations used lime to reclaim acid soils. A well coordinated research activity on acid soil was started following the restructuring of EIAR in 2008. The soil acidity research project commenced its mission by identifying hot spot soil acidity benchmark sites throughout the country. Holetta Agricultural Research Center was mandated to Bedi, Emdibir and Nedjo benchmark sites that represents low, medium and highly acidic soils of the country respectively. Similarly Jima, Asosa, Pawe, Wendogenet and Tepi research centers are also conducting researches on acid soils. 

The objectives of this review were to summarize the past lime technology research achievements and recommend futureresearch direction for lime technology.

 

 

MATERIALS AND METHODS

 

Academic publications were searched through both electronic and hard copy literature sources. A large set of keywords were chosen to identify as many publications as possible. These include soil acidity, nitisol, lime, phosphorus, pH, exchangeable acidity.Moreover, publications in hard copies (research reports, articles in journals,chapter in books, proceedings andthesis) were obtained from different institutions such as Ethiopian Institute of Agricultural Research (EIAR), Regional Agricultural Research Institute (RARIs), NGO’s and personal communication. Only publications dealing with a progress of acid soil management research in Ethiopia were selected and arranged together for this review. Articles published only after 2000 were considered.

 

 

RESULTS AND DISCUSION

 

Phosphorus status of the reddish-brown soils of Ethiopian highlands

 

The reddish-brown soils of the Ethiopian highlands are highly deficient in phosphorus. For instance, soil analytical results have indicated that most of the soils in the Walmera area are low in pH and deficient in available P (Table 1).

 

Table 1: Initial soil chemical properties of the experimental field of Holeta Agricultural Research Centre, 2001 – 2003

Field No

pH 1:1(H2O)

P (ppm)

N(%)

OC(%)

Meq/100 g soil

Na

K

Ca

Mg

CEC

Rep I

4.2

5.5

0.19

1.56

0.11

1.66

2.76

2.31

23.44

Rep II

4.3

5.0

o.16

1.48

0.14

1.25

2.73

2.36

28.98

Rep III

4.4

5.0

0.17

1.52

0.07

1.28

2.75

2.20

27.94

Rep IV

4.4

4.2

0.1

1.52

0.08

1.14

2.74

1.48

26.04

Mean

4.3

4.95

0.17

1.52

0.10

1.33

2.74

2.09

26.60

Notes: P determined by Olsen method; CEC = cation - exchange capacity; OC= Organic carbon.

Source: Getachew Agegnehu and Taye Bekele, 2005b.

 

 

Table 2: Chemical characteristics of soils of two sites in Walmera area, 2003 – 2004

Soil type

pH 1:1(H2O)

N (%)

mg/kg

Meq/100 g soil

P

NH4+ - N

NO3 - N

Na

K

Ca

Mg

CEC

Nitisol/Dila

5.04

0.20

21.26

37.68

21.75

0.15

2.03

12.52

3.29

25.75

 

5.09

0.18

18.17

39.85

19.65

0.01

2.13

9.24

2.24

23.97

 

5.24

0.24

17.93

27.74

23.68

0.01

2.20

12.76

2.63

29.80

Mean

5.12

0.21

19.12

35.69

21.69

0.66

2.12

11.51

2.72

26.51

Nitisol/Dimile

4.46

0.20

8.40

39.46

9.83

0.01

1.41

8.95

1.76

20.78

 

4.62

0.16

10.80

17.26

5.63

0.01

1.82

8.82

1.58

20.35

 

4.51

0.17

10.00

34.28

13.58

0.02

1.64

6.85

1.38

19.51

Mean

4.53

0.18

9.73

30.33

9.68

0.01

1.62

8.23

1.57

20.21

 

Notes: CEC = cation - exchange capacity; Source: Getachew Agegnehu and Taye Bekele, 2005a.

 

 

Thus, the amount of available P in the soil is, by and large, insufficient to meet the requirements of barley production.  Soil analytical results were found to be suboptimal for the production of crops. Similar to Marschner, 1995 finding, soils with pH values less than 5.5 are deficient in Ca and/or Mg, and also P. As presented in Table 1 and 2, the soil pH, available P and exchangeable cations were found to be far below the optimum.

 

Management of Acid Soils with Lime application

 

Due to increasing scope and magnitude of soil acidity problem in Ethiopia, reclamation program focusing on liming has been under taken in seriously affected part of the country. Some of the achievements obtained are presented as follows.

 

Table 3: Effect of lime on the grain yield (t/ha) of maize at Nedjo

________________________________________________________________

Lime                            NP2O5 (kg/ha)                          Mean Yield

t/ha                  _____________________________                     (t/ha)

0-0                   35-35               70-70

________________________________________________________________

0                      5.40                 4.95                 4.22                     4.86

3                      3.95                 6.14                 5.49                     5.19

________________________________________________________________

Mean               4.67                 5.55                 4.85

­________________________________________________________________

Source: Holeta  Agricultural  Research  Center (HARC), 2010

 

 

Table 4: Effect of Lime and P application on grain yield (kg ha-1) of Barley at Bedi

 

 

Lime t/ha

P (kg ha-1)

Mean

0

10

20

30

0

1256

2059

2397

3060

2393

0.5

2132

2501

3447

3833

2978

1

2498

3184

4362

4675

3680

1.5

2536

3995

4697

5117

4086

2

2498

3769

4846

4976

4022

Mean

2184

3102

3950

4332

 

Source: Holeta  Agricultural  Research  Center (HARC), 2010

 

 

As indicated in tables 3 and 4, increased rate of lime application from 0 - 3 t/ha resulted in increased yield of Maize when applied with 35-35 N P2O5 (kg/ha) and Barely yield also increased with increasing lime (0-1.5 t/ha) and P application (0-30 P2O5 kg/ha). This clearly indicated that, application of lime coupled with fertilizer improve the productivity of crops in acid affected soils. This might be related with poor fertility of acid soils prevalent in high rainfall areas where leaching of nutrients is expected to be high.

An experiment was conducted at Nedjotesting site to evaluate the interaction effects of different lime rates and phosphorus levels on yield of teff and finger millet.The lime level which gave best yield of finger millet was 5 t ha-1 with69 kg ha -1 of phosphorus(1346.2kg ha -1).The second best yield of finger millet was recorded by 20t ha-1 lime with 46 kg ha -1 of phosphorus (Table 5).

Similarly, the best yield of teff was obtained by 5 t ha-1 with 69 kg ha -1 of phosphorus (1635.5 kgha -1). The second best yield of teff (1365.8 kg ha -1)was recorded by 10t ha-1 lime with 46 kg ha -1 of phosphorus (Table 6). Both teff and finger millet grown on extremely acidic soils (Nedjo site) were more responsive to inorganic fertilizer phosphorus rate than lime levels. This might be because of temporary saturation of phosphorus fixation around the plant root zone.

 

 

Table 5: Influence of lime & Phosphorus on Finger millet grain yield (kg ha -1), Nedjo 2013

**

P1(0 kg ha -1)

P2(23 kg ha -1)

P3(46 kg ha -1)

P4(69 kg ha -1)

   0 lime (control)

459.6 L

494.6 KL

826.1 G

699.3 HI

   0.5 (5 t ha-1)

459.3 L

931.4 EF

1230.6 B

1346.2 A

   1 (10 t ha-1

507.1 KL

790.9 GH

861.4 FG

982.0 DE

   1.5 (15 t ha-1)

580.1 JK

647.5 IJ

881.8 FG

797.2 G

   2 (20 t ha-1)

673.0 IJ

1046.0 CD

1269.7 AB

1111.7 C

    CV

6.98

   LSD

68.95

                 Source: HARC Progress Report (2015)

 

 

Table 6: Influence of lime & Phosphorus on teff grain yield (kg ha -1), Nedjo 2013

** 

P1(0 lime )

P2(23 kg ha -1)

P3(46 kg ha -1)

P4(69 kg ha -1)

   0 lime (control)

192 K

1142.9 DEF

1169.8 DE

1328.6 C

   0.5 (5 t ha-1)

268.9 J

1136.3 EFG

1348.8C

1635.5 A

   1 (10 t ha-1

485.1 I

1205.6 D

1365.8 BC

1426.6 B

   1.5 (15 t ha-1)

484.5 I

1144.8 DE

1155.4 DE

1176.9 DE

   2 (20 t ha-1)

500.6 I

964.1 H

1177.3 DE

1107.8 FG

CV

11.7

LSD

104.3

                          Source: HARC Progress Report (2015)

 

 

Research work has been done on integrated soil fertility management (i.e., organic fertilizer sources combined with inorganic fertilizers)under limed /unlimedcondition on teff yield at Nedjo testing site. The experiment was conducted for two consecutive years without changing plots that received the organic fertilizer sources farmyard manure (FYM) and compost only in the first year but received the inorganic fertilizers every year. TSP and Urea were used as source of phosphorus and nitrogen.

            Result obtained from two years data and the over years aggregate (Table 7, 8 and 9) clearly showed that superior grain yield, biomass weight and plant height were recorded with treatment  50% FYM + 50% NP + 50% lime. The second best result was obtained withtreatment 50% compost + 50% NP + 50% lime.Similar result was obtained by Chilimba et al., (2004) evaluated the response of maize grain yield to applied compost and farmyard manure in combination with inorganic fertilizer materials.Both organic fertilizer sources (FYM & Compost) combined with equal amount of NP inorganic fertilizers in the absence of a soil conditioner lime gave statistically similar teff grain yield, biomass and plant height.This might be probably happened due to the inorganic fertilizers thus increase the above ground and root biomass due to immediate supply of plant nutrients in sufficient quantities as stated by Sarkar et al., 2003; Bostick et al., 2007

The obtained results clearly assured that proper knowledge and enhanced use of integrated soil fertility management technologies such as combined use of organic and inorganic fertilizers in the presence oflime are vital in improving and sustaining crop production.

 

Table 7:  Effect of organic fertilizer sources on teff grain yield and yield components(kg ha 1) on acidic soil at Nedjo 2014

No

Treatment

PLHT

Pnkln

BM

GY

1

Control (no amendment)

33.1

19.2

463.0

87.9

2

Recommended NP

34.1

22.6

722.2

193.1

3

100 % FYM

53.9

35.1

1685.2

547.1

4

100% compost

51.9

38.0

1425.9

381.9

5

50% FYM  +  50%  NP

67.2

40.0

3425.9

890.4

6

50% compost  + 50% NP

63.7

45.5

3277.8

833.2

7

100% FYM + 100 % lime

58.7

39.5

2611.1

747.0

8

100% Compost  + 100 % lime  

60.1

39.1

1759.3

529.2

9

NP + 100% lime 

65.8

40.9

3203.7

740.2

10

50% FYM + 50%  NP + 50%  lime  

73.8

41.0

4611.1

1191.6

11

50% compost + 50% NP + 50 % lime 

67.3

38.4

3870.4

1011.3

12

Rock phosphate as a treatment combination

48.6

30.3

1685.2

462.1

 

Mean

56.5

35.8

2395.1

634.6

 

CV

8.6

15.2

22.5

25.1

 

LSD

8.3

9.2

911.4

269.8

PLHT = plant height (cm), Pnkln = panicle length (cm), BM = Biomass( kg ha – 1),GY = grain yield(kg ha – 1)

Source: HARC Progress Report (2015)

 

 

Table 8:  Effect of organic fertilizer sources on teff grain yield (kg ha -1) on acidic soil at Nedjo 2015

No

Treatment

PLHT

Pnkln

BM

GY

1

Control (no amendment)

0.0

0.0

0.0

0.0

2

Recommended NP

0.0

0.0

0.0

0.0

3

100 % FYM

25.3

11.5

256.7

155.0

4

100% compost

23.3

10.5

220.0

127.6

5

50% FYM  +  50%  NP

77.1

33.9

1155.0

657.1

6

50% comp + 50% NP

77.5

35.8

898.3

489.9

7

100% FYM + 100 % lime

72.9

33.0

825.0

488.1

8

100% Compost  + 100 % lime  

75.0

31.9

1155.0

650.0

9

NP + 100% lime 

51.2

23.5

843.3

427.3

10

50% FYM + 50%  NP + 50%  lime  

80.6

35.6

1796.7

907.5

11

50% compost + 50% NP + 50 % lime

80.7

37.2

1228.3

730.7

12

Rock phosphate as a treatment combination

40.4

18.5

330.0

197.9

 

Mean

50.3

22.6

725.7

402.6

 

CV

4.5

3.0

19.2

16.3

 

LSD

39.0

36.5

51.3

49.2

 

 

 

 

 

 

    Source: HARC Progress Report (2015)

 

 

Table 9: Over year aggregate effect of organic fertilizer sources on teff grain yield(kg ha -1) on acidic soil at Nedjo  (2014 – 2015)

 

 

No

Treatment

cropping season

over year means

2013

2014

2015

1

Control (no amendment)

43.4

87.9

0.0

43.8

2

Recommended NP

66.8

193.1

0.0

86.6

3

100 % FYM

1367.6

547.1

155.0

689.9

4

100% compost

1163.0

381.9

127.6

557.5

5

50% FYM  +  50%  NP

806.2

890.4

657.1

784.6

6

50% comp + 50% NP

771.7

833.2

489.9

698.3

7

100% FYM + 100 % lime

1258.8

747.0

488.1

831.3

8

100% Compost  + 100 % lime

1075.5

529.2

650.0

751.6

9

NP + 100% lime

415.3

740.2

427.3

527.6

10

50% FYM + 50%  NP + 50%  lime

1053.4

1191.6

907.5

1050.8

11

50% compost + 50% NP + 50 % lime

911.4

1011.3

730.7

884.5

12

Rock phosphate as a treatment combination

407.1

462.1

197.9

355.7

 

Mean

778.4

634.6

402.6

605.2

 

CV

203.5

269.8

49.2

405.8

 

LSD

15.4

25.1

16.3

39.6

          Source: HARC Progress Report (2015)

 

 

An experiment was conducted to observe the interaction of Lime and P on seed yield of faba bean at Bedi and Emdibir. The results of these experiments are presented in tables below. The highest significant (P≤ 0.05) yield of faba bean was obtained by applications of 1.65 (t ha-1) and 13(t ha-1) of lime along with 30 kg ha-1 P fertilizer at Bedi and Emdibir respectively (Table 10 and 11).  Application of 1.65 t ha -1 lime with 30 P (kg ha -1 ) gave 212% yield increment  over the control that has no lime but 30 P  (kg ha -1 ).

 

 

 

 

Table 11: The interaction effect of Lime and P on seed yield of Faba bean in (kg ha-1) during 2009/10 cropping season at Emdibir

Lime  (t  ha-1)

P (kg ha-1)

 

0

10

20

30

Mean 

0.5 (3.25 t  ha-1)

64.8

93

92.2

105.1

89

1 (6.5 t  ha-1

190

193.4

256

324.1

240.9

1.5 (9.75 t  ha-1)

236.6

260.7

374.5

383.5

313.8

2 (13 t  ha-1)

241.8

318.5

381.3

420.1

340.4

Mean

202.86

228.8

306.1

311.5

 

 

                             Source: HARC Progress Report (2015)

 

 

To discern the effects of liming on root nodulation and grain yield of soybeanan experiment was conducted at Bako area, western Ethiopia. The finding from the experiment with regard to growth and yield attributes revealed that liming acid soil in soybean production had significantly influenced the number and dry weight of nodule, the plant height, the above ground biomass and grain yield (Table 15, 16). The nodule number and nodule dry weight increased linearly with increase of liming rate until it reached the recommended level (DeribKifile, 2014). The optimum value of nodule number and weight obtained is 113 and 963.3 mg /plant which were improved remarkably by73.84% and 71.04% respectively due to liming (Table 12).

 

Table 12: Nodulation of soybean as influenced by liming, Bako Agricultural Research Center, western Ethiopia (DeribKifile, 2014)

Trt No

Lime rate in

      ( t ha-1)

Nodule Number/plant

Nodule  Volume  (in ml)/plant

Nodule  Dry wt. (mg)/plant

1

0

65d

2.16

563.33d

2

1.56

85c

3.76

633.33cd

3

2.34

97b

4.3

713.33b

4

3.13

113a

4.43

963.33a

5

3.91

84c

2.93

650bc

6

4.69

93bc

3.26

653.33bc

 

LSD (0.05)

11.185

NS

79.693 

 

 

Table 13. Yield and Yield Related Traits as influenced by Liming, Bako Agricultural Research

Center, westernEthiopia. (DeribKifile ,2014)

Trt No

Lime rate in (tha-1)

SC/plot

plant height (cm)

Biomass weight in (t ha-1)

Grain  yield weight in(t ha-1)

HI

1

0

540

45.93c

6.46c

3.92c

0.43

2

1.56

604

50.93b

7.3b

4.38ab

0.45

3

2.34

617

55.26b

7.66ab

4.36ab

0.42

4

3.13

564

60.23a

7.46b

4.2bc

0.4

5

3.91

593

51.66b

8.27a

4.69a

0.43

6

4.69

605

53.5b

7.3b

4.14bc

0.4

 

LSD (0.05)

NS

4.36

0.74

0.41

NS

Sc = Stand count, HI = Harvest Index. Means within a column  followed by

the same letter(s) or with no letter are not significantly  different, NS =Non significant at p>0.05

 

 

 

 

 

A field experiments were conducted at the two locations on acidic soil to study the effect of lime and phosphorus application on haricot bean varities at Dolla and Gununo in Wolaita Zone, Southern Ethiopia. The research work was initiated to evaluate the response of haricot bean varieties to liming on acid soils. The experiment was laid out in factorial randomized complete block design with three replications. Hawasadume and Omo-95 were treated by 0 and 0.4 t ha-1 of lime.There was a significant increase on growth parameters of the two varieties as rates of lime increased both at Dolla and Gununo sites. Maximum values of plant height, leaves and branches number were recorded at application rates at both location with liming in year 1 and 2. Similarly, the highest grain yield and yield components were obtained at 20 kg P ha-1 with lime (0.4 t ha-1) on both varieties at two locations. Furthermore, application of lime improved soil conditions and in turns varieties performance at both locations (Table 14).

 

Table 14:

Mean value of lime on yield and yield components performance of haricot bean varieties at Gununo and Dolla in 2012-2013 (Mesfin et al., 2014)

 

 

 

Gununo

Dolla

Lime

(t ha-1)

Varieties

Pod

No

Seed

No

Pod

 length

Seed

yield

Pod

No

Seed

No

Pod

length

Seed

yield

0

Omo - 95

8.80

5.42

8.35

826.32

8.85

5.62

8.72

875.17

 

Hawassadume

9.25

5.17

8.47

930.20

8.62

5.22

8.72

972.96

0.4

Omo - 95

8.77

5.02

8.17

1079.40

7.77

4.91

8.52

1122.58

 

Hawassadume

9.35

5.17

8.47

1282.49

8.67

5.22

8.40

1416.99

CV

 

27.70

17.14

9.50

34.27

22.70

11.90

0.79

46.00

LSD

 

1.43

0.44

0.57

201.00

1.65

0.65

3.11

200.00

 

 

An experiment was also carried out on acid soils of Jima and Ilubabore zones of south-western Ethiopia to know the effect of split application of lime on the basis of maize-soybean rotation system in two sets. Treatments of split lime applications were control, full dose of recommended lime applied at one time during the cropping season, two splits in which 50% of the dose applied in the first year and the rest 50% in the second year, three splits in which 33% of the dose applied in the first year, 33% in the second year and the rest 33% in the third year and four splits in which 25% of the dose applied in the first year, 25% in thesecond year, 25% in the third year and the rest 25% in the fourth year. Recommended rate of N, 46 kg ha -1 and 92 kg ha -1 were uniformly applied for soybean and maize, respectively. However, 20P kg ha-1was uniformly applied for all treatments and for both test crops.

Over years mean showed that split application of lime significantly affected maize and soybean yield at Doyo (Jima). In this line, splitting into two and applying in two consecutive years as well as splitting of lime into three and applying in three consecutive years gave similar yield with full rate application of lime for maize. Splitting into four was even gave similar maize grain yield with splitting lime into two and three(TesfuKebede et al., 2010).  This might be due to less acidity of Doyo area. Result of this experiment revealed that splitting the required amount of lime into 33%and 50% is possible if maize to be grown on this soil(Table 15).

 

 

Table15: Effect of Split Application of Lime on Maize Yield (kg ha-1) at Doyoin 2009-2013 growing seasons(TesfuKebede et al., 2010)

Treatments

2009

2010

2011

2012

2013

Over year Mean

Control

1656b

2524b

4259

2762c

1910

2622c

25%  every year

1730b

3370ab

4464

3671ab

1792

3005bc

33%  every year

1756b

3412ab

4677

4221a

2180

3249ab

50% every year

2176ab

3640ab

4936

3491ab

2256

3300ab

Full dose

2798a

4163a

5101

3192bc

2149

3481a

LSD 0.05

780

1441

ns

784

ns

466

CV (%)

20.48

22.36

14.83

12.01

35.88

11.09

              Means with in a column with the same letter(s) are not significantly different at 0.05 probability level.

                ns =Not significantly different at 0.05 probability level

 

 

Split application and full rate application gave almost similar soybean yield at the testing site (Table 16). However, resource poor farmers who cannot afford the price of full dose lime can split in to two, three and four and apply every year without significant yield loss for both crops compared to one time application of full dose.

 

 

Table 16: Effect of split application of lime on soybean seed yield (kg ha-1) at Doyo

in2009-2013 growing seasons(TesfuKebede et al., 2010)

Treatments

2009

2010

2011

2012

2013

Over year

Mean

Control

1259

1185

1219b

1705

2416

1557b

25%  every year

1454

1541

1978a

1977

2441

1878a

33%  every year

1674

1662

2270a

1739

2441

1957a

50% every year

1848

1694

2275a

1880

2108

1961a

Full dose

1944

1780

2286a

1850

2408

2054a

LSD 0.05

ns

ns

638

ns

ns

294

CV (%)

22.86

20.77

16.91

8.92

7.91

11.62

            Means with in a column with the same letter(s) are not significantly different at 0.05 probability level.

            ns =Not significantly different at 0.05 probability level

 

 

Similar to Doyo soil, Hurumu’s soil was also responsive to split lime application. Splitting into two and three gave similar maize and soybean yield with full rate application of lime at once (Tables 17 and 18). Depending on the availability of lime and affordability of maize and soybean growers, it is possible to use either of the above frequencies.

 

Table 17: Effect of split application of lime on maize grain yield (kg ha-1) at Hurumu

in 2009-2013 growing seasons(TesfuKebede et al., 2010)

Treatments     

2009

2010

2011

2012

2013

Over years Mean

Control

5226c

4654b

6804

5868d

5993

5709b

25%  every year

5851bc

5082ab

7115

6975b

5643

6133ab

33%  every year

6579ab

5337ab

7127

7875a

5755

6535a

50% every year

7157ab

5812ab

7914

6678bc

5794

6671a

Full dose

7439a

5864a

8069

6204c

5616

6638a

LSD 0.05

1337

1202

ns

485

ns

725

CV (%)

11.01

11.94

9.96

3.85

12.96

8.60

            Means with in a column with the same letter(s) are not significantly different at 0.05 probability level.

            ns =Not significantly different at 0.05 probability level.

 

 

Table18: Effect of Split Application of Lime on Soybean seed Yield (kg ha-1) at Hurumu in 2009-2013 Growing seasons(TesfuKebede et al., 2010)

Treatments

2009

2010

2011

2012

2013

Over year Mean

 Control

1382b

1530

1344b

1436b

2077

1554b

25%  every year

1421b

1539

1953a

1766ab

2390

1814ab

33%  every year

1674ab

1631

2024a

1858a

217 0

1871a

50% every year

1848ab

1709

2004a

1752ab

2327

1867ab

Full dose

1944a

1734

2050a

1727ab

2188

1929a

LSD 0.05

497

ns

470

384

ns

218

CV (%)

15.97

10.06

13.33

11.86

10.17

8.98

            Means with in a column with the same letter(s) are not significantly different at 0.05 probability level.

            ns =Not significantly different at 0.05 probability level

 

 

Another study was conducted at Megele-33 kebele, Assosa area of north western Ethiopia   from 2012 – 2015 on the basis of cereal food legume/oil crops rotation system in two sets.Treatment with 50% lime in split application gave the highest mean grain yield (3143.3kg/ha) of sorghum (Table 19), and as clearly observed from Table 19 the ANOVA result showed a significant difference of grain yield between treatments (DessalegnTamene and BekeleAnbesa, 2015).

 

 

Table 19: Effect of Split Application of Lime on Soybean seed Yield (kg ha-1) at Asosa

Treatment

PLH (m)

Gy kg/ha

Control

91.1

573.5

Full dose of lime

99.1

2378.7

50% lime each year

121.3

3143.3

33% lime each year

105.4

2315.0

25% lime each year

110.1

2402.3

CV

29.7

78.4

LSD

NS

1618.8

 

 

To evaluate different agricultural lime materials produced in Ethiopia for their agronomic effectiveness on acid soils an experiment was conducted at Holeta agricultural research centre for three years. The agricultural lime materials were brought fromSenkele (Oromia), Dejen (Amhara) and both Awash Dolomite and Awash calcite from Awash 7 kilo. Statistically no yield difference was observed among different agricultural limes produced in Ethiopia, and this implies that both limes produced at Senkele (Oromia) and Dejen (Amhara) can successfully answer their regional lime needs. When Senkele lime, Dejen lime and Ca(OH)2 from Ghion gas factory were compared with Awash calcite and Awash dolomite, these two Awash products were greatly preferred (Table 20 and 21). The reason might be mainly from the material they were processed and as well the technology under which they were crushed.

 

Table 20: Effects of different agricultural limes on yield & yield components of barley,combined analysis (Year I) -2014

Treatment

PLHT (cm)

Spkln (cm)

Spkpsp

BM(kgha-1)

GY   (kg ha-1)

HLW (%)

TSW (g)

1

114.39

6.25

49.40

17911.1

6146.7

61.5

41.87

2

114.83

6.30

49.40

18788.9

6524.7

63.5

42.27

3

115.11

6.39

50.27

18611.1

6879.2

62.1

41.64

4

113.22

6.58

51.40

18266.7

6975.3

61.1

42.02

5

113.78

6.14

49.67

18233.3

6577.4

62.1

41.78

Mean

114.27

6.33

50.03

18362.22

6620.66

62.08

41.92

CV (%)

3.15

5.55

11.54

10.44

12.62

4.39

4.73

LSD(0.05)

NS

NS

NS

NS

797.26

NS

NS

           Source:  HARC Progress Report 2016

 

 

Trt. 1= control, 2= Dejen lime, 3= Awash Dolomite, 4= Awash Calcite, 5= Senkele lime, 6= Ca (OH)2,    PLHT=plant height, Spkln = Spike length, Spkpsp = No of Spikelet per Spike, BM=Biomass (kg ha-1) , GY= Grain yield (kg ha-1), HLW=hectolitre weight, TSW= Thousand seed weight.

 

Table 21:Effects of different agricultural limes on yield & yield components of barley,Rob Gebeya  (Kifile) -2016

Treatment

PLHT (cm)

Spkln (cm)

Spkpsp

BM   (kg ha-1)

GY   (kg ha-1)

HLW (%)

TSW (g)

1

90.13

6.33

45.80

7389.0

3261.0

61.33

47.60

2

88.30

6.87

52.13

8389.0

3642.5

61.03

47.00

3

88.93

6.60

50.33

8537.0

3653.6

62.13

47.73

4

89.73

7.00A

49.53

8019.0

3582.5

61.87

47.53

5

86.33

6.20

49.20

7796.0

3420.1

61.83

47.07

Mean

88.69

6.60

49.40

8025.92

3511.94

61.64

47.39

CV (%)

3.33

6.40

5.70

15.81

15.92

1.69

2.09

LSD(0.05)

NS

0.79

5.30

NS

NS

NS

NS

           Source:  HARC Progress Report 2016

 

 

Trt. 1= control, 2= Dejen lime, 3= Awash Dolomite, 4= Awash Calcite, 5= Senkele lime,  6= Ca (OH)2,    PLHT=plant height, Spkln = Spike length, Spkpsp = No of Spikelet per Spike, BM=Biomass (kg ha-1) , GY= Grain yield (kg ha-1), HLW=hectoliter weight, TSW= Thousand seed weight.

The Capacity building for scaling up of evidence–based best practices in agricultural production in Ethiopia (CASCAPE) project conducted research in selected woreda’s in the Southern and Amhara regions with the aim of reclaiming acid soils for crop production. In both regions different treatments with varying quantities of lime per hectare were tested. In the South region six  treatments used were, (i) 900 kg ha-1  lime  (ii) 900 kg ha-1 lime plus the recommended fertilizer rate  (iii) 1800 kg ha-1 lime  (iv) 1800 kg ha-1 lime plus the recommended fertilizer rate (v) application of recommended fertilizer (100 kg DAP and Urea  per ha) only; (vi) control (no treatment); where as in  CASCAPE Amhara  (i) 1925 kg ha-1  lime  (ii) 2050 kg ha-1 lime  and (iii) control (no lime application ) were used. All three treatment plots followed the recommended fertilizer dosage.  Barley was the experimental crop used. Grain yield was measured on each treatment and was analyzed using SAS software.

Grain yield of barley increased with lime application. The highest grain yield of 1367 kg ha-1 was obtained with application of 1800 kg lime and recommended fertilizer, as opposed to application of 900 kg lime and recommended fertilizer (1283.5 kg ha-1) (Table 22). These yield levels were significantly higher than the control (554.0 kg ha-1).  Barley grain yield in Dera & JabiTehnan woredas of Amhara region showed significant differences between lime treated plots and non treated plots. Lime rates based on the buffer method (1925 kg ha-1 on average of four sites) and the exchangeable acidity method (2050 kg ha-1 ) on average of four sites) gave grain yields of 3648 and 3643 kg ha-1   of barley, respectively and the difference were not significant (Table 23). The non – treated (control) plot gave a grain yield of 2452 kg ha-1, and this was significantly lower than the other treatments. Biomass (straw) yield of barley was highest (10058 kg ha-1 ) for a lime rate of 2050 kg, but the difference between the treatments was not significant.

 

Table 22: Mean grain yield of barley across different liming treatments in Buleworeda, Southern Ethiopia(WondwosenBekele et al., 2014)

Treatments

Mean grain yield across replications  (kg ha-1)

Control

554.00

RFR

778.00

900 kg ha-1 lime  +  0 Fertilizer

891.50

900 kg ha-1 lime  +   RFR

1283.50

1800 kg ha-1 lime  +  0 Fertilizer

924.75

1800 kg ha-1 lime  +   RFR

1367.67

           RFR: recommended fertilizer rate (100 kg DAP & 100 kg Urea)

 

 

Table 23: Grain yield of barley across liming treatments following buffer and exchangeable acidityin Amhara region  (Wondwosen Bekele et al., 2014)

Treatments

Lime rate (kg)

Mean grain yield (kg ha-1)

Mean biomass  yield           (kg ha-1)

Grain yield advantage over the control        (kg ha-1)

Control

0

2432b

6385a

 

Buffer method

1925

3648a

9151a

50%

Exchangeable-acidity  method

2050

3643a

10058a

50%

Mean

3241

8531

 

 

CV

16.2

24

 

 

*As the trial in CASCAPE  Amhara were conducted at two districts, Dera and Jabi: the data on the table combined over the two woredas.

 

 

Comparison of soil pH level changes before planting and after harvest at CASCAPE south showed that after harvest the pH levels consistently increased from 4.68 in the control (T1) to 5.33 (T5) due to the treatment with 1800 kg ha-1 lime plus no fertilizer. For the control, pH after harvest showed a reduction by 0.03 compared to the pH level before planting, which might be associated with the macronutrient mining of test crops from the native soil.

Similarly, from an experiment conducted at Chencha and Hagerselam areas of southern Ethiopia application of lime together with other macro-nutrients (nitrogen, phosphorus and potassium) significantly increased yield of barley. It is clearly observed that the relative barley yield increased due to application of 0.85 and 1.75Mg lime alone or with different combinations of NPK in 2007 was promisingly high. Application of 0.85 and 1.75Mg lime gave 64 and 100% higher yield, respectively than absolute control; whereas 7 and 64%, 52 and 37%, 116 and 100% and 24 and 22% higher yields were observed by combining with NP, NK, PK and NPK, respectively as compared to application of respective fertilizer alone. Application of half and full doses of lime alone or with NPK gave statistically similar barley yield both at Chencha and Hagerselam. These results suggested that lime application increased the effect of fertilizer on barley yield at both sites, the highest being on NP in Chencha soils and on PK in Hagerselam soils (Table 24).

 

 

Table 24: The effect of lime and NPK fertilizer application on the grain yield of Barley (kg ha-1) in acidic soils of Chencha and Hagerselam(WondwosenBekele et al., 2014)

Treatment

Chencha

Hagerselam

2007

2008

2007

2008

Control

517.4c

763.9bc

1171.2b

617.9d

NP

1271.0b

701.2c

1988.0ab

1985.0b

NK

1285.0b

941.0abc

1447.4b

1081.5cd

PK

1479.0b

1531.2a

1669.7b

1468.4bc

NPK

2333.0a

1357.6ab

2816.8a

2614.3a

LSD (0.05)

479.5

604.1

1170

582.2

L1

975.0b

593.8b

1369.4

1159b

L2

1508.3a

1210.3a

1978.4

1576ab

L3

1648.0a

1372.9a

2108.1

1925a

LSD (0.05)

371.4

467.9

NS

451.8

Control

83.3g

312.5ef

738.7

499.1f

L2

666.7efg

708.3cdef

765.8

677.4ef

L3

802.1defg

1270.8abcde

1009.0

677.2ef

NP  + L1

541.7defg

125.0f

1441.4

1640.0bcde

NP  + L2

1271cdef

874.3bcdef

1567.6

1818.0bcd

NP  + L3

2000abc

1104.2abcdef

2955.0

2496.0abc

NK  + L1

791.7defg

583.3cdef

1117.1

677.4ef

NK  + L2

1604.2bcd

1083.3abcdef

1693.7

1141.0def

NK  + L3

1458.3bcde

1156.0abcdef

1531.5

1426.0cde

PK  + L1

1479.2bcde

1447.9abcd

900.9

1087.0def

PK  + L2

1208.3cdef

1812.5ab

1585

1604.0cde

PK  + L3

1750.0bc

1333.3abcde

2522.5

1711.0bcd

NPK  +  L1

1979.2abc

1156.3def

2648.6

1889.0bcd

NPK  +  L2

2792.0a

1572.9abc

3279.3

2638.0ab

NPK  +  L3

2229.3ab

2000.0a

2522.5

3315.0a

LSD(0.05)

830.5

1046

NS

1010

CV (%)

36.06

39.1

40.2

38.9

         Lime rate for barley at Hagerselam --- L1 = 0 lime, L2 = 0.85 Mg ha-1 lime, L3 = 1.75 Mg ha-1 lime,

         Lime rate for barley at Chencha --- L1= 0 lime, L2 = 3.84 Mg ha-1 lime, L3 = 7.68 Mg ha-1 lime

 

 

CONCLUSION

 

Crop development and potential yield depend on different environmental and soil factors. Soil acidity problems are increasing in the highland areas of Ethiopia. Different experiments confirmed that and suggested that lime is essential but must be complimented with balanced plant nutrients in order to get adequate crop yield in acid prone areas. In Nedjo condition, lime level 5 t ha-1 with 69 kg ha -1 phosphorus gave best yield (1346.2 kg ha -1)and (1635.5 kgha -1) of finger millet and teff respectively.Similarly, yield of faba bean was obtained by applications of 1.65 (t ha-1) and 13(t ha-1) of lime along with 30 kg ha-1 P fertilizer at Bedi and Emdibir respectively.  

Around Bakoarea liming significantly influenced the number and dry weight of nodule, plant height, above ground biomass and grain yield of soybean. The nodule number and nodule dry weight increased linearly with increase of liming rate until it reached the recommended level.

The study of lime and phosphorus application on haricot bean varieties at Dolla and Gununo in Wolaita Zone, Southern Ethiopia showed that the highest grain yield and yield components were obtained at 20 kg P ha-1 with lime (0.4 t ha-1) at two locations.

Split application of lime on the basis of maize-soybean rotation system in two sets on acid soils of Jima and Ilubabore zones of south-western Ethiopia has showed that splitting into two and three parts gave similar maize and soybean yield with full rate application of lime at once. However, resource poor farmers who cannot afford the price of full dose lime can split in to two, three and four parts and apply every year without significant yield loss for both crops compared to one time application of full dose. Similarly, from an experiment conducted at Megele-33 kebele, Assosa area of north western Ethiopia on the basis of cereal food legume/oil crops rotation system showed that splitting full dose of lime into two parts gave the highest mean grain yield of sorghum without significant yield loss.

From research work done on integrated soil fertility management (i.e., organic fertilizer sources combined with inorganic fertilizers) under limed /unlimed condition on teff yield at Nedjo testing site, two years data and the over years aggregate clearly showed that superior grain yield, biomass weight and plant height were recorded with treatment  50% FYM + 50% NP + 50% lime.

Similarly, an experiment was conducted at Holeta station and on-farm to evaluate different agricultural lime materials produced in Ethiopia for their agronomic effectiveness on acid soils. Statistically no yield difference was observed among different agricultural limes produced in Ethiopia, and this implies that both limes produced at Senkele (Oromia) and Dejen (Amhara) can successfully answer their regional lime needs. When Senkele lime, Dejen lime and Ca(OH)2 from Ghion gas factory were compared with Awash calcite and Awash dolomite, these two Awash products were greatly preferred. The reason might be mainly from the material they were processed and as well the technology under which they were crushed.

Soil acidity limits crop production in many tropical soils. Lime and inorganic phosphate fertilizers are used to remedy these problems. However, due to increasing costs and unavailability when needed, their use among our farmers in our country is not widespread. Thus the government should give an attention to the supply of lime where it is prudently needed.

 

 

ACKNOWLEDGEMENTS

 

I would like to acknowledge all researchers contributed for soil acid management to fetch a solution to minimize its adverse impact and foster its contribution to the country’s food security.

 

 

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Cite this Article: Fekadu M (2018). Progress of Soil Acidity Management Research in Ethiopia. Greener Journal of Soil Science and Plant Nutrition, 5(2): 009-022, http://doi.org/10.15580/GJSSPN.2018.2.051518072.