Evaluation of the potentials of supplementary irrigation for improvement of sorghum yield in Wag-Himra, North Eastern, Amhara, Ethiopia

Abstract

Water is the most limiting factor for agricultural production in dry land areas. supplying of adequate water is very crucial in stablizing crop yields and increasing their production. Therefore, the experiment was conducted for two cropping seasons (2014 to 2015) at Aybra on farmer’s plot in Sekota district of Wag-Himra Zone, Eastern Amhara. The objective of the experiment was to determine the net irrigation requirement and schedule of supplementary water application during moisture stress period and to improve crop water productivity of sorghum yield. The design of the experiment was random complete block design and seven treatments (C1, C2, FMSO, S1, S2, S3 and S4) with three replications were tested. The statistical analysis indicated that a significant difference in head weight, grain yield, stem diameter, and water productivity of sorghum among treatments. The analysis of variance for both years showed that there was a significant interaction effect between treatments across years on head weight, grain yield, and water productivity. Supplementing the crop with S3 and S1 treatments the application of 219.4mm and 328.4mm of irrigation water respectively at eight days interval at moisture stress time was obtained better head weight, grain yield, water productivity, and stem diameter. Therefore, this research recommended that supplementing rain-fed for sorghum production starting from the development stage (20 days after sowing down to harvesting). However, water is a limiting factor for crop production supplementing during development and mid-season stage only at eight days interval at moisture stress or rainfall is ceased.

Keywords:

• supplementary irrigation
• irrigation requirement
• water use efficiency
• Sorghum
• Wag-Himra

PUBLIC INTEREST STATEMENT

Sorghum (Sorghum bicolor) is one of the most widely grown cereal crops in Ethiopia. It is a staple food crop on which the lives of millions of poor Ethiopian depend. It has tremendous uses for the Ethiopian farmer and no part of this plant is ignored. It is a food secured and an economic source of the smallholder farmers in the study area of wag-himra. Unreliable and poor distribution of rainfall is one of the major causes for low yield of sorghum in wag-himra. So, farmers are now opting for the production of this crop under supplemental irrigation. Supplemental irrigation is the application of a limited amount of water to rain fed crops when precipitation fails to provide the essential moisture for normal plant growth. This practice has shown potential in alleviating the adverse effects of unfavorable rain patterns and thus improving and stabilizing crop yields.

Competing Interests

The authors declares no competing interests.

1. Introduction

Agriculture is a fundamental part of rural livelihoods of Ethiopia although there are many instances when farmers in water scarce areas are unable to succeed in their agricultural scheme due to the unavailability of required quantities of water at the correct time. Ethiopian economy is based on rain-fed agriculture. Rainfall is the major source of water for agriculture. However, farmers’ yield gain in rain-fed regions in developing countries is low largely due to low rainwater use efficiency because of non-optimal soil, water, nutrient and pest management options, as well as a shortage of seeds from improved cultivars (Rockström & Barron, 2007; Wani et al., 2008). There are three primary ways to develop rain-fed agricultural production, namely: (i) enhance the effective rainfall use through improved water management; (ii) increase crop yields in rain-fed areas through agricultural research; and (iii) transform policies and improved investment in rain-fed areas. As the Amhara Regional State Government is emphasizing developing irrigation-based agriculture to attain food security at the household level, it is important that appropriate technologies are available for adoption by farmers. This focuses on the first way, in which supplemental irrigation plays a major role in increasing water use efficiency and yields of rain-fed crops. For instance, a supplemental irrigation study (Rockström, Barron, & Fox, 2002) carried out in Burkina Faso (seasonal rainfall of 418-667 mm) and Kenya (seasonal rainfall of 196-557 mm) reported 37-38% increase in sorghum grain yield by supplemental irrigation alone. However, when supplemental irrigation was combined with a fertilizer application of what nutrient rates, loading rate and timing, the crop yield of irrigated land increased to 70-300% when compared to the rain fed system.

Estimating seasonal rainfall characteristics based on records is important to assess drought risk and to improve drought mitigation strategies such as supplementary irrigation. Rainfall inconsistency has been accounted to have a major effect on Ethiopia’s economy and food production for the last three decades. There have been reported of rainfall variability and drought associated food shortage (Bewket & Conway, 2007; Tilahun, 1999). So, farmers and private sales are now opting for the production of sorghum under supplemental and/or full irrigation (Shenkut, Tesfaye, & Abegaz, 2013). In most cases, what determines crop production in semiarid areas of Africa is the distribution of seasonal rainfall rather than the total amount of rainfall because dry wonderful strongly slow down the yield (Barron, Rockström, Gichuki, & Hatibu, 2003; Segele & Lamb, 2005). Water scarcity is a feature of Northern Ethiopia; particularly in Wag-himra water scarcity is severe (Bekele, 2006; Araya, Stroosnijder, Girmay, & Keesstra, 2011; Feyisa, 2016). Due to this, moisture stress is the major limiting factor for crop production which highly reduces the crop yield in these areas.

One of the approaches taken as a countermeasure to the unpredictability of rain and to overcoming such problems is using supplementary irrigation during the growing season. Supplemental irrigation (SI) is a highly efficient option to achieve this strategic goal by providing the crop with the needed amount of water at the required time (Oweis, 1997). Supplemental irrigation is defined as “the addition of a limited amount of water to otherwise rain-fed crops, when rainfall fails to provide essential moisture for normal plant growth, to improve and stabilize productivity”. Unlike full irrigation, the timing and amount of supplemental irrigation cannot be determined in advance, because it is supplementary to rainfall, which is variable in amount and distribution and difficult to predict (Oweis, 1999). In northern Syria, it was found that applying 50% of full supplemental irrigation requirements would reduce yield by 10-15% while applying the saved water to lands otherwise rain-fed increased the total farm production by 38% (Oweis, 1997; Oweis & Hachum, 2006). Alleviating soil moisture stress during the critical crop growth stages is the key to improved production. It was concluded by the authors that avoiding drought, through early flowering and maturity, was the main factor underlying higher seed yield under severe drought conditions (Ghanbari-Malidarreh, 2010; Li, Cook, Geballe, & Burch Jr, 2000; Wang, Li, Vera, & Malhi, 2005). In this area, supplementary irrigation is necessary for the increment of sorghum grain yield and yield components and enhancement of food security. However, the additional amount of water alone may be inadequate for crop production, as irrigation timing relative to critical crop growth stages is critical. Therefore, this research was conducted to compute set the net irrigation requirement (depth of water) to be supplemented in the moisture deficit period and the timing of the water application (irrigation interval) and to improve crop water productivity.

2. Material and methods

2.1. Description of the study area

The experiment was conducted for two cropping seasons (2014 to 2015) at Fikire Selam Kebele on a farmer’s plot in Sekota destrict of Wag-Himra Zone, North Eastern Amhara. The experimental site was located 12.680N Latitude, 39.010 E Longitude and at an altitude of 1976 m.a.s.l (Figure 1). The mean maximum and minimum temperatures are 26.5 and 12.1°c respectively and the mean annual rainfall in the area was 275.7 mm with a considerable year-to-year variation. But this amount of rainfall didn’t fulfill the crop water requirement in the growing season. Such rainfall variation results in a range of conditions under which the use of supplemental irrigation is a useful option to improve and stabilize yields. The soil textural class of the experimental area is clay loam with a pH of 6.7–7.1

Figure 1. Map of the study area.

3. Soil and water sample collection and analysis

The collected soil samples were composited into three samples based on the soil depth. The composite soil samples were collected and air-dried, thoroughly mixed. The samples were properly labeled, packed and transported to the laboratory. After that, the samples were dispersed after testing and for pH, and soil organic matter (SOM). Soil textures were analyzed at Sekota dry land Agricultural research center Soil Laboratory. The soil pH was measured in the supernatant suspension of a 1: 2.5 using a Standard glass electrode pH meter (Carter & Gregorich, 2008). The soil particle size distribution was determined using the Bouyoucos hydrometer method (Bouyoucos, 1962). The water sample was taken from the site which was used for the irrigation application. The plastic bottle was used to collect the water samples from the experimental site. The sample was labeled carefully and transported to the laboratory and analyzed for their selected chemical composition of pH and ECw. Laboratory analyses were done at Sekota dry-land agricultural research center soil laboratory for selected chemical composition/only for their pH and ECw. ECw of the water samples were measured using conductivity meter. Field capacity and permanent wilting point of the experimental site was done.

4. Experimental design and crop

The experiment was conducted using a simple random complete block design. The plot size were 3 m x 5 m. There were a total of seven treatments and three replications in 2014 and 2015. Two control treatments (C1 and C2) with no supplementary irrigation. One treatment supplemented when the crop was under water stress through field observation (FMSO) and Four treatments (S1, S2, S3, and S4) having supplementary irrigation levels at development, mid-season, and late-season growing stages were determined using the CROPWAT computer model (Version 8.0) (Table 2). Irrigation water was applied by using a hand-held watering can having a fixed volume of water conveyed to the furrow. Sorghum (Miskre variety) which has a relative maturity of 125 days was used as a test crop (Table 1). Fertilizer was applied at the rate of 100 kg/ha for Di Ammonium phosphate (DAP) at planting and 50 kg/ha of urea (applied in two splits, half at planting and a half at 45 days after sowing). The crop data, crop type, planting date, growth stage in day, maximum rooting depth, Kc values, depletion fraction and yield reduction coefficient were used as inputs to the CROPWAT computer model.

5. Determination of reference evapotranspiration

Reference evapotranspiration (ETo) a daily basis was calculated by applying the modified FAO Penman-Monteith equation and based on a daily time step (Allen, Pereira, Raes, & Smith, 1998) using FAO CROPWAT software version 8.0. The input data for the CROPWAT software includes location i.e. altitude, latitude, and longitude of the meteorological station, daily values of maximum and minimum air temperatures, air humidity, sunshine duration, and wind speed were used from a 10 km meteorological station located on the experimental field.

6. Supplementary irrigation water requirement

The amount of water needed (CWR) to compensate the amount of water lost through evapotranspiration (ETc), requires reference evapotranspiration (ETo) and sorghum crop coefficient (Kc) given by (Allen et al., 1998) as 0.5 for the initial stage, 0.5< Kc<1.15 for the crop development stage, 1.15 for the mid-season stage and 0.6 for the late-season stage (Table 1). Calculation of crop water requirement (ETc) using CROPWAT software over the growing season was from ETo and crop coefficient (Kc).

(1.1) $ETc=ETo\ast Kc$(1.1)

Where, ETc = actual evapotranspiration (mm/day), Kc = crop coefficient, and ETo = reference crop evapotranspiration (mm/day). The net irrigation requirement was calculated using the CROPWAT software based on (Allen et al., 1998) as follows:

(1.2) $IRn=ETc-Pe$(1.2)

Where, IRn = Net irrigation requirement (mm), ETc in mm and Pe = effective rainfall (mm) which is part of the rainfall that enters into the soil and makes available for crop production. The effective rainfall (pe) was estimated using the method given by (Allen et al., 1998) as.

(1.3) $Pe=0.6\ast P-10/3forPmonth\le 70mm$(1.3)

(1.4) $Pe=0.8\ast P-24/3forPmonth>70mm$(1.4)

Where, Pe (mm) = effective rainfall and P (mm) = total rain fall.

Water productivity, also known as water use efficiency, was determined as the ratio of grain yield per unit area divided by the total seasonal water use of the crop (rainfall + supplemental irrigation) (Irmak, Odhiambo, Kranz, & Eisenhauer, 2011). Statistical analysis of the data included analysis of variance (ANOVA), using SAS, to test the effects that season, supplemental irrigation had on grain yield, head weight, stem diameter, and water productivity in the two cropping seasons of 2014 and 2015.

7. Result and discussion

7.1. Soil properties of the experimental field

Analysis of soil samples for the major soil physical and chemical properties before planting was carried out at soil laboratories of Sekota Dry-Land Agricultural research center and Mekelle Soil Research Center. The result of the soil analysis from the experimental site showed that the average composition of sand, silt, and clay percentages were determined. Thus, according to the USDA soil textural classification, the percent particle size determination for the experimental site revealed that the soil texture could be classified as clay loam soil.

The organic matter content of the soil is taken as a basic measure of fertility status. Organic Matter (OM) is considered to improve water-holding capacity, nutrient release and soil structure. The composite soil sample contributed soil OM which is rated as low shown in Table 3. This was in agreement with the findings of Okalebo, Gathua, & Woomer, (2002) who reported that soils having OM value in the range of 0.86–2.59% are considered low. Thus it needs additional materials or nutrients that increase the amount of organic matter in the soils. As described in the Table 3, the salinity of soil (ECe) of the experimental site was determined. According to Hazelton & Murphy, (2016) soils having the ECe less than 4dS m⁻¹ are considered as non-saline and suitable for crop production. Moreover, the pH value of the experimental site was secure. According to Chimdi, Gebrekidan, Kibret, & Tadesse, (2012), soils having pH value in the ranges are considered neutral soils.

Table 1. Length of growing season and other factors of sorghum

Parameters	Crop growth stage				Total growing period
	Initial	Development	Mid-season	Late season
Length of growing (days)	20	35	40	30	125
Crop coefficient (kc)	0.50	0.83	1.15	0.6
Rooting depth (cm)	30	50	100	100
Depletion level (p)	0.5	0.50	0.5	0.8
Yield response factor (ky)	0.6	0.6	1.2	0.8

Source: FAO CROPWAT model (Smith, Kivumbi, & Heng, 2002).

Table 2. The treatment setup of supplementary irrigation on the experiment in Wag-Himra area

	The 2014 Year			The 2015 Year			Mean of the two Years
Treatment	Total crop water requirement (mm/season)	Measured rainfall (mm/season)	Actual Seasonal irrigation requirements (mm/season)	Total crop water requirement (mm/season)	Measured rainfall (mm/season)	Actual Seasonal irrigation requirements (mm/season)	Total crop water requirement (mm/season)	Measured rainfall (mm/season)	Actual Seasonal irrigation requirements (mm/season)
C1	351.7	351.7	0	199.7	199.7	0	275.7	275.7	0
C2	351.7	351.7	0	199.7	199.7	0	275.7	275.7	0
FMSO	481.7	351.7	130.0	656.3	199.7	456.6	569.0	275.7	293.3
S1	687.7	351.7	336.0	520.6	199.7	320.9	604.1	275.7	328.4
S2	650.3	351.7	298.6	453.7	199.7	254.0	552.0	275.7	276.3
S3	567.0	351.7	215.3	423.2	199.7	223.5	495.1	275.7	219.4
S4	529.6	351.7	177.9	356.3	199.7	156.6	443.0	275.7	167.3

Where, Treatments C1 = rain-fed without furrow, C2 = rain-fed with furrow, FMSO = supplementing farmer estimated depth under field moisture stress observation, S1 = Supplementing the CROPWAT generated depth (100%) starting from development stage at eight days interval at moisture stress, S2 = Supplementing the CROPWAT generated depth (100%) starting from mid-season stage at eight days interval at moisture stress, S3 = Supplemented the CROPWAT generated depth (100%) during development and mid-season stage at eight days interval at moisture stress, S4 = Supplementing the CROPWAT generated depth (100%) during mid-season stage at eight days interval at moisture stress.

Table 3. Soil physical and chemical characteristics of the experimental site

Depth (cm)	Texture				Bulk density (g/cm3)	Organic matter (%)	PH	EC (ds/m)	FC (%)	PWP (%)
	Sand (%)	Clay (%)	Silt (%)
0-30	37.7	31.3	31	clay loam	1.2	1.55	6.9	0.15	39.26	13.12
30-85	51.2	25	23.8	sandy clay loam	1.25	1.18	6.7	0.27	33	13
85-105	35	36.3	28.7	clay loam	1.26	1.38	7.1	0.2	18	7

The topsoil surface had a slightly lower bulk density (1.2 g/cm³) than the subsurface (1.26g/cm³) which might be due to high organic matter contents in the topsoil surface and the compaction level increased in the lower part. But in general, the average soil bulk density (1.24 g/cm³) and which was suitable for crop root growth. The average soil moisture content values at the field capacity of the experimental site were 39.26, 33, and 18% at 0–30, 30–85, and 85- 105 cm soil depths, respectively. The moisture content at the permanent wilting point also showed variation with depth and increasing from the surface to the lower depth. The total available water (TAW) that is the amount of water that a crop can extract from its root zone is directly related to variation in FC and PWP and its root depth.

Clear year -to -year variations were seen due to treatment effects. Although the actual rainfall amount which occurred in the second year was less than the long-term mean value, more rainfall was measured at the initial stage of sorghum affecting its growth and resulted in stunted growth. Moreover, the grain yield in the second year was highly affected by the damage of birds during the mid-season stage (at about maturity time)

The analysis of variance for both years showed that there was a significant interaction effect between treatments across years on head weight, grain yield, and water productivity (Table 4). The results of 2014 and 2015 indicated that head weight, grain yield; stem diameter and water productivity were statistically significant other than plant height didn’t (Table 5). According to the result supplementing the crop with the treatment S3 and S1 application of 219.4mm and 328.4mm of irrigation water respectively at eight days interval at moisture, stress obtained better head weight, grain yield, water productivity, and stem diameter as compared to other treatments. But there was a statistically significant difference in grain yield and water productivity of sorghum. The result was in agreement with the finding of Feyisa, (2016) who reported that supplementing the crop with the S3 and S1 at eight days interval obtained good sorghum yield and yield-related parameters. Similar result reported by Ziadat, (2015) who reported that full supplementary irrigation of green pepper yield improvement of 32.6kg/ha compared with the unsupplementary irrigation of green pepper in Gumara maksegnit watershed. Similar to our result conducted in India indicated that supplementary irrigation early during the vegetative growth stage and early reproductive stage on clay soils contributed to increased yield (Singh & Das, 1987). Sorghum grain yield under rain-fed condition control treatment constantly had a low yield in both experimental seasons 2014 and 2015. The production potential of the crop was particularly affected by rainfall amount and distribution season to season.

Table 4. Analysis of variance

Source of variation	Degree of freedom	Mean square
		Head weight (kg/ha)	Grain yield (kg/ha)	Stem diameter (cm)	Water productivity (kg/m^3)
Treatment	6	1,999,756.88**	1,085,183.42**	0.0509**	1.2614**
Replication	2	11,680.88	27,131.67	0.0003	0.0108*
Year	1	1,233,387.59**	1,268,295.10**	0.3547**	0.0288*
Treatment*year	6	223,083.12**	50,553.40**	0.0156	0.2160**
Error	26	21,995.56	8674.62	0.0066	0.0026

** = Significant at (0.01) level of significance, * = Significant at (0.05) level of significance.

Table 5. Mean separation result of the effects of supplementary irrigation on head weight, grain yield, plant height, stem diameter, and water productivity

Treatment	The 2014 Year					The 2015 Year					Combined over Year
	Head weight (kg/ha)	Grain yield (kg/ha)	plant height (cm)	Stem diameter(cm)	Water productivity(kg/m^3)	Head weight (kg/ha)	Grain yield (kg/ha)	plant height (cm)	Stem diameter (cm)	Water productivity(kg/m^3)	Head weight (kg/ha)	Grain yield (kg/ha)	Stem diameter(cm)	Water productivity(kg/m^3)
C1	2084.4d	1404.4d	152.4a	1.21c	0.43e	1911.1cd	1405.1c	139.6a	1.01b	1.04b	1997.7d	1404.7d	0.74e	1.11d
C2	2823.7c	1649.8c	155.3a	1.2c	0.51d	1688.9d	1339.1c	142.6a	1.16ab	0.99b	2256.3c	1494.4d	1.19dc	0.75e
FMSO	2137.8d	1346.6d	156.9a	1.37b	0.32f	2222.2c	1002.1d	148.7a	1.16ab	0.29d	2180.0c	1174.3e	1.26bc	0.30f
S1	3383.7ab	2463.1a	158.8a	1.47a	0.97c	3295.8a	1999.8a	138.8a	1.30a	0.77c	3208.5ba	2239.9a	1.31ba	0.86d
S2	3281.0b	2229.8b	156.6a	1.22c	0.98c	2900.0b	1896.0a	140.4a	1.18ab	0.84c	3090.5b	2062.9cb	1.20dc	0.99c
S3	3410.4a	2389.8ab	151.2a	1.47a	1.48b	3004.2ab	1658.0b	140.4a	1.16ab	0.98b	3314.5a	2132.9b	1.38a	1.77a
S4	3333.3ab	2266.0b	164.0a	1.46a	1.69a	3033.4ab	2016.8a	145.3a	1.16ab	1.4a	3207.2ba	2023.9c	1.31ba	1.23b
Cv	2.36	4.67	6.94	3.32	4.62	7.72	5.15	6.60	9.13	5.56	5.42	4.89	6.49	5.13
Lsd	122.71	163.22	19.34	0.07	0.07	354.68	148.29	16.71	0.18	0.08	177.76	104.45	0.09	0.05
Grand mean	2922.10	1964.26	156.50	1.34	0.91	2579.36	1616.71	142.30	1.16	0.91	2750.73	1790.49	1.25	0.95

Where, Treatments,C1 = rain-fed without furrow, C2 = rain-fed with furrow, FMSO = supplementing farmer estimated depth under field moisture stress observation, S1 = Supplementing the CROPWAT generated depth (100%) starting from development stage at eight days interval at moisture stress, S2 = Supplementing the CROPWAT generated depth (100%) starting from mid-season stage at eight days interval at moisture stress, S3 = Supplemented the CROPWAT generated depth (100%) during development and mid-season stage at eight days interval at moisture stress, S4 = Supplementing the CROPWAT generated depth (100%) during mid-season stage at eight days interval at moisture stress.

The seasonal water use (rainfall and supplemental irrigation) was used to calculate the water productivity of crops. The experimental results in water productivity of sorghum grain yield to improve from 0.75kg/m³ of water for rain-fed and 1.77kg/m³ of water at supplementary irrigation. The result was in line with the finding of Zhang & Oweis, (1999) water productivity was about 0.96kg of wheat grain m⁻³ of water under rain-fed conditions and 1.36kg of wheat grain m⁻³ under supplemental irrigation. The current result was similar with the finding of Oweis & Hachum, (2009) reported that supplemental irrigation caused rainwater productivity in northwest Syria to increase from 0.84kg/m³ of water for rain-fed and 1.06 kg/m³ of water at full supplemental irrigation. From our finding supplementing the crop with S3 at 2194m³/ha irrigation water application at eight days interval at the moisture stress period evaluated to supplementing the 3284m³/ha of water irrigated S1 at eight days interval at moisture stress was achieved 1090m³/ha of water saved. This amount of applying the saved water also 0.49 hectares of additional lands was irrigated.

8. Conclusion and recommendation

Supplemental irrigation is a viable irrigation management scheme that can be used by farmers in a dry- land area like wag-himra zone to enhance and stabilize their rain-fed grain sorghum production. Supplemental irrigation using a limited amount of water, if applied during the critical crop growth stages of vegetative and early reproductive, can result in substantial improvement on yield and water productivity. The application of supplemental irrigation can also assist the crop to escape critical stages particularly terminal drought or moisture deficit. In rain-fed dry areas, where water is the most limiting factor, the priority should be to maximize yield per unit of water rather than yield per unit of land.

As a result it can be concluded that dry-land areas like wag-himra zone which has problems of rainfall distribution and amount and having an access to irrigation water can increase their yield advantage 835.2 kg/ha by supplementary irrigation starting from crop development stage(21 days after sowing) up to harvesting stage at eight days interval following moisture deficiency indicators like crop physiological indicator and soil moisture stress with amount of 328.4mm seasonal irrigation water requirement for improving variety of sorghum (Miskre) from the analysis of the two year results.

As an option, if water is the restraining factor during the sorghum growing season, applying supplementary irrigation only during development and mid-season stages at eight days intervals on moisture stress or rainfall ceased can give a reasonable good grain yield, head weight and water productivity and it had grain yield improvement of 728.5 kg/ha in 2014 and 2015 result. Therefore, this research recommended that supplementing rain-fed for sorghum production starting from development stage (20 days after sowing down to harvesting).

Acknowledgements

The authors would like to thanks the Amhara Agricultural Research Institute and Sekota Dry-Land Agricultural Research Center, Soil and Water Research Directoratefor the financial support and guidance for the successful accomplishment of the research.

Additional information

Funding

The authors received no direct funding for this research.

Notes on contributors

Aemro Wale

Aemro Wale is Researcher in Sekota Dry-Land Agricultural Research Center. He has conducted different research activity related to Agricultural water management, Irrigation and drainage, Soil and water. He has an interested to conduct research in Agricultural water management and related issues.

Workat Sebnie

Workat Sebnie is Researcher in Sekota Dry-Land Agricultural Research Center. He has conducted different research activity related to soil fertility, soil characterization. He has an interested to conduct research in soil fertility, soil and water related issues.

Gebrehana Girmay

Gebrehana Girmay is researcher in Sekota Dry-Land Agricultural Research Center. He has conducted research activity related with soil and water conservation. He has an interest to conduct research related to natural resource management.

Gashaw Beza

Gashaw Beza is Researcher in Sekota Dry-Land Agricultural Research Center. He has conducted different research activity related to Agricultural water management, Irrigation and drainage, Soil and water. He has an interested to conduct research in Agricultural water management and related issues.