Agricultural Sciences, 2017, 8, 729-742 
http://www.scirp.org/journal/as 
ISSN Online: 2156-8561 
ISSN Print: 2156-8553 
 
 
 
Cost Effectiveness of Growing Cotton 
Depending on Irrigation Source and 
Groundwater Salinity in the Ferghana   
Valley, Uzbekistan 
Sherzod Muminov, Galina Stulina, Islom Rusiev 
International Fund for the Aral Sea Saving, Interstate Coordination Water Commission, Scientific-Information Center, Tashkent, 
Uzbekistan 
 
 
                     
How  to  cite  this  paper:  Muminov,  S., 
Stulina, G. and Rusiev, I. (2017) Cost Effec-
tiveness of Growing Cotton Depending on 
Irrigation Source and Groundwater Salinity 
in  the  Ferghana  Valley,  Uzbekistan. Agri-
cultural Sciences, 8, 729-742. 
https://doi.org/10.4236/as.2017.88054   
 
Received: June 15, 2017 
Accepted: August 5, 2017 
Published: August 8, 2017       
 
Copyright © 2017 by authors and   
Scientific Research Publishing Inc. 
This work is licensed under the Creative 
Commons Attribution International   
License (CC BY 4.0). 
http://creativecommons.org/licenses/by/4.0/     
  
Open Access
 
 
Abstract 
Given article describes the current status of irrigated agriculture in the Ferg-
hana  province,  Republic  of  Uzbekistan.  Climatic,  hydrogeological,  and  soil 
conditions and hydromodule zoning of the Water User Association (WUA) 
Oktepa Zilol were studied, and, on this basis, the farms growing cotton were 
selected.  Variable  and  fixed  costs  and  profitability  of  cotton-growing  farms 
were analyzed. Based on the books of those farms, the crop budget was drawn 
up. Relationships between the profitability of cotton-growing farm and the ir-
rigation sources used and soil fertility in the farm are explained. Finally, pro-
posals for improvement of cotton production using various sources of irriga-
tion under different degrees of groundwater salinity are provided. 
 
Keywords 
Irrigation, Groundwater, Drainage Water, Salinity, Costs, Revenue 
1. Introduction 
Ferghana province (Figure 1) belongs to the area of ancient irrigated agriculture 
in Uzbekistan. By the beginning of the XX century, more than 150,000 ha were 
irrigated here. That time irrigation system had no any engineering design, not to 
mention  drainage  constructions.  At  the  same  time,  most  of  irrigated  territory 
did  not  demand  artificial  draining  [1].  By  the  mid  of  the  XX  century,  about 
250,000 ha were irrigated. Irrigation was expanded and covered new land areas, 
mostly in the zones of moderate and poor drainability, which was accompanied   
 
DOI: 10.4236/as.2017.88054    Aug. 8, 2017 
 
729 
Agricultural Sciences 
S. Muminov et al. 
 
 
Figure 1. WUA Oktepa Zilol, Ferghana province. 
 
by construction of inter- and rare on-farm collectors. However, such construc-
tion lacked primary relief drains; consequently, secondary salinization developed 
in case of shallow saline groundwater.   
Development  of  adyr  soil  increased  contribution  from  groundwater  in  the 
lower land. Thus, land conditions got worse. To prevent secondary salinization, 
vertical and horizontal drainage system was designed and constructed. 188,000 
ha  were  equipped  with  drainage  (67.5%  of  irrigated  area)  in  1970,  261,000  ha 
(73.2%)  in  2000,  and  265,000  ha  (70%)  in  2010.  Main  draining  tracts  in  the 
province are the Achchikkul collector with the flow rate of 53 m3/sec, P-3 col-
lector—21.2  m3/sec,  Shimoliy  collector—17.7  m3/sec,  Naynova  collector—11.8 
m3/sec,  Sokh  Isfara  collector—12.5  m3/sec,  К-4  collector—8.8  m3/sec,  and  Sari 
Juga collector—3.8 m3/sec [2]. 
In 2015, cotton was grown on an area of 100,100 ha in the Ferghana province, 
with the average cotton yield reaching 28.6 centner/ha or 2.3 centner/ha lower 
than in 1991 [3]. The main cause of yield reduction is the higher level of drai-
nage water salinity that resulted in salinization of land in the drained area.   
Given the conditions of water scarcity and limitation, there is a need to use 
drainage  water  or  its  mixture  with  river-water  for  irrigation  [4].  This  practice 
has become especially important in the recent time due to climate change and 
730 
Agricultural Sciences 
 
DOI: 10.4236/as.2017.88054 
 
S. Muminov et al. 
 
severe droughts and has a direct effect on cost effectiveness of cotton produc-
tion.   
2. Research Object 
Given  research  was  carried  out  as  part  of  the  ICARDA  Project  (Project  No. 
1374) “Evaluate the effect of conjunctive use of canal and drainage water, differ-
ent cropping patterns, and improved irrigation practices on control of salinity 
and waterlogging and delineate most efficient water management and agronom-
ic  practices”  in  the  Ferghana  province,  Uzbekistan  during  As  pilot  sites  the 
farms growing cotton were selected within the Water User Association (WUA) 
Oktepa Zilol located in Kushtepa district of Ferghana province. Researches and 
the analysis of results were carried out in 2014-2016. 
2.1. Climatic Conditions   
The climate in the region is sharply continental and dry with abundant heat and 
sunshine. Temperature regime is positive, with the average annual temperature 
of 13.9˚C. The coldest month is January with the average monthly temperature 
−0.7˚C and the absolute minimum temperature −28˚C. The hottest month is Ju-
ly  with  the  average  monthly  temperature  +27.3˚C  and  the  absolute  maximum 
temperature  +43.5˚C.  The  rest  of  the  year,  but  January  and  February,  is  with 
positive temperatures. The frost-free season lasts for 227 days. The region is very 
arid.   
In 2015, the maximum of +32˚C was recorded in Andizhan weather station. 
Winter was not severe and the temperature did not fall below +5˚C. 
The non-growing season is characterized by high precipitation. The growing 
season is least humid, 57.2 mm; most precipitation falls in April and May in the 
amount of 18 - 19 mm, and minimum precipitation is recorded in July and Au-
gust at 2 - 4 mm. 
There is heavy shower or hail in spring. That causes mudflow in adyrs, foo-
thills and highlands. Snow  pack is unstable. Snow pack lasts for 29 days. Pro-
longed  heavy  fog,  hoarfrost,  and  ice-covered  land  are  also  typical  for  winter 
months. The average monthly wind speed is from 1.7 to 3.6 m/sec. The maxi-
mum wind speed amounts to 10 - 15 m/sec and sometimes more than 15 m/sec. 
In 2015, wind regime was within the average annual indicators. 
In  the  study  region,  evapotranspiration—total  evaporation  from  free  water 
surface and transpiration-amounts to 900 mm (Figure 2).   
Air  humidity  deficit  and  high  temperatures  cause  increased  evaporation  in 
summer. Thus, owing to high dryness in this region, agriculture may be devel-
oped only under artificial irrigation. 
2.2. Hydrogeological Conditions   
Geomorphologic  conditions  determined  specific  hydrogeological  situation  in 
Ferghana province: formation of high-pressure artesian water with inflow from   
731 
Agricultural Sciences 
 
DOI: 10.4236/as.2017.88054 
 
S. Muminov et al. 
 
DOI: 10.4236/as.2017.88054 
 
 
 
Figure 2. Potential evapotraspiration data, WUA Oktepa Zilol, Ferghana province. 
 
the surrounding mountains and also saline shallow groundwater. Before the de-
velopment of drainage systems, water table was up to 2 m everywhere, and the 
salinity of groundwater varied from 3 - 5 to 10 g/l and more. Piezometric heads 
are at the level of 0.2 - 0.95 m above water table everywhere. Groundwater re-
charge through overflow from confined aquifer in quaternary deposits of Central 
Ferghana varies from 2 - 3 to 8 - 10 thousand m3/ha. Thus, groundwater is shal-
low, and substantial drainage flow is formed, i.e. drainage capacity increases. 
In terms of natural drainability, the area of Central Ferghana is divided into 5 
zones with:   
- 
Intensive drainability. This zone spreads over foothill side, with deep ground- 
water; 
-  Moderate drainability. This zone spreads over upstream of the Big Fergana 
Canal (BFC) in the western part of the province; 
-  Poor drainability. This zone spreads between BFC and SFC; 
-  Very poor drainability. This zone spreads over central part of the province 
downstream of the BFC; and   
-  Drainless zone. This zone spreads over floodplain zone of the Syrdarya River. 
Ferghana  province  has  rather  long  unit  length  (24  -  41  m/ha  per  irrigated 
area) of subsurface drainage in 1970-2015. Alongside with horizontal drainage, 
vertical drainage wells were actively constructed and increased from 100 wells in 
1970 and 1303 ones in 1995. However, their quantity dropped to 1131 in 2010 
[1] [4] and even to 554 in 2015. In 2015, 38 vertical drainage wells were available 
in Kushtepa district.   
This massive system of vertical and horizontal drainage provided substantial 
drainage salt-water outflow. In 1970-1975, the total drainage flow amounted to 
about 2554 Mm3, while water withdrawal was 5078 Mm3. Since 1980, drainage 
flow has got more or less stabilized at the level of 3000 Mm3 per year, while the 
total water withdrawal was 5000 Mm3 per year. By 2000-2015, both water with-
drawal and the total drainage flow have decreased.   
The  share  of  the  total  drainage  flow  in  water  withdrawal  of  the  Ferghana 
province varied from 40.7% in 1970 to 50.4% in 2000 and 58.1% in 2015. Given 
732 
Agricultural Sciences 
S. Muminov et al. 
 
the total water withdrawal and its salinity, degree of which increased from 0.4 g/l 
to  0.7  g/l  in  2000  and  0.9  g/l  in  2015,  inflow  of  salts  in  the  province  changed 
from 2,285,500 tons in 1970 to 3,600,200 tons in 1985, with the unit values of 
17.7 t/ha and 15.8 t/ha a year, respectively. The average inflow of salts decreased 
to 11.4 t/ha a year by 2000 and to 6 t/ha a year by 2015. The collected data shows 
that drainage flow and groundwater storage are quite significant for re-use and 
vary by year from 1200 to 1700 thousand m3 and from 1900 to 2900 thousand 
m3,  respectively.  At  present,  only  10%  of  these  waters  is  used  for  irrigation 
(Figure 3).   
The studied WUA Oktepa Zilol (Figure 1) is located in the subtropical foo-
thill zone. The soil is comprised of meadow and sierozem soil that is formed on 
alluvial-proluvial deposits of alluvial cones. 
In  terms  of  hydrogeology,  the  study  site  is  located  in  the  area  of  shallow 
groundwater,  including  both  artesian  and  non-artesian  waters.  The  depth  of 
groundwater varies from  1.2 to 2.1  m in loamy sand and loamy deposits. The 
network of hydrogeological and reclamation wells is constructed in the WUA, 
where water tables are measured every ten-day.   
Groundwater salinity varies from 0.1 to 3.96 g/l during the growing season. In 
terms of chemical composition, groundwater salinity is sulpthate-chloride and 
sulphate. High salinity is stagnant due to slight surface slope and poor outflow of 
groundwater.   
Impermeable rock layer causes formation of artesian and sub-artesian water. 
Artesian waters lay at a depth of 120 - 200 m in sandy-gravel deposits. The unit 
well capacity is about 1 l/sec. Water is fresh, with salinity of 0.55 g/l; it is used for 
irrigation. Chemical composition is sulphate-hydrocarbonate-calcic-magnesium.   
The surface slope of groundwater is 0.002 - 0.0025. This indicates to poor land 
drainabilty. Slight slopes and poor permeability of surface fine grained soil are 
the reasons for stagnant nature of groundwater and, because of its evaporation, 
salt accumulates in the soil and groundwater salinity increases. Groundwater is 
recharged mainly through percolation during watering, seepage losses and from   
 
Figure 3. Use of collector-drainage water and groundwater for irrigation. 
 
733 
Agricultural Sciences 
 
DOI: 10.4236/as.2017.88054 
 
S. Muminov et al. 
 
DOI: 10.4236/as.2017.88054 
 
 
deep confined aquifer. Groundwater recharge through precipitation is minor.   
3. Materials and Methods 
The research objective is formulated proceeding from the urgency of the issued 
related to limited nature of water and the need for alternative water use practices 
in the context of climate change. Here one deals with irrigation with saline wa-
ter, analysis of variable and fixed costs and profitability of farms growing cotton 
using various irrigation sources under groundwater with different degrees of sa-
linity, based on bookkeeping review of those farms. Proceeding from the results 
of  the  analysis  of  soil-climatic  indicators  and  cost  effectiveness  of  the  farms 
growing cotton, scientifically and practically sound proposals are developed for 
the  improvement  of  cotton  production  using  various  irrigation  sources  under 
different degrees of groundwater salinity.   
Research questions can be detailed as follows: 
•  What effect do various irrigation sources have on variable and fixed costs of 
cotton production? 
•  How  does  the  level  of  groundwater  salinity  impact  on  cost  effectiveness  of 
cotton production?   
•  Which  of  irrigation  sources  ensures  highest  profitability  of  cotton  produc-
tion?   
Research options included the use of saline drainage water for irrigation and 
several other kinds of conjunctive use of drainage and canal water:   
-  water from vertical drainage wells used for permanent irrigation;   
-  same kind of water as above diluted with canal water; 
-  water pumped from collector in that time, when the plant is salt tolerant to 
medium saline water; 
-  slightly  saline  collector-drainage  water  (CDW)  since  the  beginning  of  the 
growing season. 
Within  the  WUA  Oktepa  Zilol,  there  is  a  pilot  plot  with  sub-irrigation 
through backwater in drains. 
The research options were implemented in 5 farms (Table 1). 
The studied farms receive water from different sources: Pakhlavon Gulomjon   
 
Table 1. Main indicators of selected farms. 
 
Pakhlavon 
Gulomjon 
(SFC) 
Abdullajon 
(vertical   
drainage) 
Study area, ha 
Yield, centner/ha 
Quality score   
attributed to soil 
Degree of salinity, dS/m 
Water salinity, g/l 
7.7 
31.2 
81 
1.12 
0.5 
9.0 
30.0 
73 
0.78 
0.7 
Nuritdin 
Tanikulov 
(CDW and 
SFC) 
10.0 
33.6 
62 
1.92 
0.7 
Bakhodir 
Mirzaev 
(CDW) 
9.0 
28.4 
41 
4.88 
3.88 
Sharofiddin 
Kuchkarali   
Khasanov 
(BFC) 
9.0 
30.6 
53 
1.11 
0.6 
734 
Agricultural Sciences 
S. Muminov et al. 
 
farm—from South-Ferghana canal (SFC); Abdullajon farm—from vertical drai-
nage; Nuritdin Tanikulov farm—conjunctive use of CDW and water from SFC; 
Bakhodir  Mirzaev  farm—from  CDW;  and,  Sharofiddin  Kuchkarali  Khasanov 
farm—from Big Ferghana Canal (BFC).     
Irrigation  water  is  delivered  from  various  sources  (Table  1),  thus  one  may 
study application of water having different levels of salinity and the resulting ef-
fect on soil and plants. The cotton variety “Namangan 77 r-2” was grown in all 
the farms. The quality of soil fertility (quality score and degree of salinity) is also 
different in those farms (Table 1). 
All these types of CDW use were compared in terms of yield, salinity, costs 
and benefits of cotton production.   
The research consisted in: collection of data; field studies; laboratory studies; 
and, economic analysis of the results.   
land cadastre data on soil fertility (quality score);   
For the purposes of analysis the soil-climatic data on the Ferghana province 
and WUA Oktepa Zilol and the soil maps at a scale of 1:200,000, 1:50,000 and 
1:10,000 were used.   
- 
-  data on groundwater level and salinity; 
-  soil salinity determined by soil sampling at the depths of 0 - 30 cm and 30 - 
70  cm  and  by  further  laboratory  analysis  for  qualitative  and  quantitative 
content of salts;   
-  salinity of irrigation water, collector-drainage water and of water from vertic-
al drainage wells determined by sampling and laboratory analysis;   
-  source information collected by talking with farmers and book-keepers of the 
selected farms;   
the books of these farms analyzed; 
- 
-  crop budget drawn up for cotton using  various  sources  of irrigation under 
different degrees of groundwater salinity.   
4. Research Results 
4.1. Comparative Analysis of the Variable Costs 
The variable costs are the costs that depend on the volume of agricultural pro-
duction in the farms. These are the inputs of the variable factors of crop produc-
tion in the farms (Figure 4).   
 
 
DOI: 10.4236/as.2017.88054 
 
Figure 4. Variable costs of farms. 
 
735 
Agricultural Sciences 
S. Muminov et al. 
Variable costs of the farms include:   
 
-  seeds cost;   
-  mineral and organic fertilizer costs;   
-  agrochemicals;   
- 
-  machine and equipment repair and maintenance;   
- 
-  remuneration of hired workers and farm workers who are busy with harvest-
transportation of products;   
fuels and lubricants;   
ing and other kinds of activities related to the use of resources. 
The variable costs always grow as the scale of production increases. 
Taking into account the above mentioned methods for calculation of variable 
costs, we analyzed these costs in the selected farms. The analysis revealed that 
the variable costs of cotton growing in the selected farms varied from 9, 411.3 
USD to 12,910.8 USD. High variable costs were observed in the Nuritdin Tani-
kulov farm. The unit variable costs were 133.3 - 143.5 USD/ha on average (Table 
2).   
As Figure 5 shows, the share of variable costs in the selected farms is the fol-
lowing: 32.2% - 34.6%—manual labor, 26.7% - 30.2%—mineral fertilizers, and 
15.7% - 16.9%—machines and equipment.   
 
Table 2. Structure of the variable cost in the selected farms, USD*. 
Pakhlavon   
Gulomjon 
(SFC) 
Аbdullajon 
(vertical   
drainage) 
Nuritdin   
Tanikulov 
(CDW and SFC) 
Bakhodir   
Mirzaev 
(CDW) 
 
Sharofiddin 
Kuchkarali   
Khasanov 
(BFC) 
total  per 1 ha 
total  per 1 ha 
total  per 1 ha 
total  per 1 ha 
total  per 1 ha 
Seeds 
537.9  69.9 
617.4 
68.6 
748.4 
74.8 
662.3 
73.6 
667.9 
74.2 
Mineral   
fertilizers 
Organic   
fertilizers 
2733.9  355.1  3106.5  345.2  3756.0  375.6  3255.8  361.8  2901.6  322.4 
47.9 
6.2 
58.1 
6.5 
62.9 
6.3 
57.4 
6.4 
56.0 
6.2 
Agrochemicals  397.0  51.6 
462.0 
51.3 
540.4 
54.0 
471.8 
52.4 
479.8 
53.3 
Fuel and   
lubricants 
Manual   
labor 
860.2  111.7 
830.6 
92.3 
1175.5  117.5 
961.7 
106.9  1005.4  111.7 
3176.9  412.6  3586.6  398.5  4435.7  443.6  3478.9  386.5  3752.5  416.9 
Machines and 
equipment  1536.1  199.5  1781.8  198.0  2028.6  202.9  1768.9  196.5  1832.7  203.6 
Water   
delivery 
65.6 
69.9 
39.4 
5.1 
62.9 
7.0 
7.3 
7.0 
57.7 
6.4 
Transportation  82.1 
10.7 
53.0 
5.9 
93.4 
9.3 
83.1 
9.2 
100.7 
11.2 
Total 
9411.3  135.8  10,561.5  130.4  12,910.8  143.5  10,797.7  133.3  10,859.6  134.1 
*Currency exchange rates were downloaded as of January 28, 2016 from the web-site of the Central Bank of 
Uzbekistan: http://cbu.uz/uzc/arkhiv-kursov-valyut/dinamika-kursov-valyut/ [5]. 
736 
Agricultural Sciences 
 
DOI: 10.4236/as.2017.88054