Effects of deficit irrigation on yield and WUE of some crops under semi-arid conditions (Bekaa Valley of Lebanon) - PowerPoint PPT Presentation

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Effects of deficit irrigation on yield and WUE of some crops under semi-arid conditions (Bekaa Valley of Lebanon)

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Effects of deficit irrigation on yield and WUE of some crops under semi-arid conditions (Bekaa Valley of Lebanon) K. Karaa, F. Karam, N. Tarabey – PowerPoint PPT presentation

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Title: Effects of deficit irrigation on yield and WUE of some crops under semi-arid conditions (Bekaa Valley of Lebanon)


1
Effects of deficit irrigation on yield and WUE
of some crops under semi-arid conditions(Bekaa
Valley of Lebanon)
  • K. Karaa, F. Karam, N. Tarabey

4th WASAMED Workshop on Water Use Efficiency and
Water Productivity Amman, Sep 1st - Oct 4th
2005
2
ACTION PLAN
  • Determine water use, yield, and WUE in four
    annual crops with contrasting response to deficit
    irrigation (DI)
  • Maize (1998-1999)
  • Soybean (2000-2001)
  • Cotton (2001-2002)
  • Sunflower (2003-2004).
  • Determine the relationships between yield and
    biomass, in one hand, and evapotranspiration in
    the other.

3
  • Maize, a determinate species with a limited
    capacity to adjust grain yield in response to
    water availability (Karam et al, 2000 2003)
  • Soybean, an indeterminate species with a high
    capacity to compensate the effects of early water
    stresses (Karam et al., 2005)
  • Cotton, an indeterminate species with a larger
    capacity to adjust the number of dehiscent bolls
    under stressful conditions (Karam et al., in
    press, Agric. Water manag.)
  • Sunflower, a determinate species with a single
    inflorescence and an aptitude to tolerate
    moderate water stresses.

4
YIELD RESPONSE TO WATER
  • Yields increase with water availability in the
    root zone, until a saturation level, above which
    there is little effect.
  • Yield response curve of specific crops depends on
    weather conditions and soil type as well as
    agricultural inputs.

5
Soil Water Retention Capacity
Field Capacity ()
Management Allowed Deficit ()
Permanent Wilting Point ()
Available Water FC - PWP
MAD 40-50 AW
6
Soil Water Vs. Depth
7
Water relations in a warmer world
8
Changes in VPD with temperature
9
Solutions
  • Develop new irrigation scheduling approaches, not
    necessarily based on full crop water requirement,
    but ones designed to ensure the optimal use of
    allocated water Partial irrigation

10
Deficit Irrigation
  • DI or RDI is one way of maximizing water use
    efficiency (WUE) for higher yields per unit of
    irrigation water applied.
  • The crop is exposed to a certain level of water
    stress either during a particular growth period
    or throughout the whole growing season, without
    significant reduction in yields.

11
Objectives
  • To increase WUE of a crop by eliminating
    irrigations that have little impact on yield.
  • The resulting yield reduction may be small
    compared with the benefits gained through
    diverting the saves water to irrigate other crops.

12
Water Use Efficiency
  • WUEg,b (kg/m3) Yield or biomass (kg/m2)/ ET
    (m3/m2)
  • (1 kg m-3 1 g m-2 mm-1).
  • Subscripts g, and b indicate grain yield and
    biomass

13
Water Use Efficiency
  • For maize, soybean, and sunflower WUE was
    calculated as the ratio of yield (Y) and biomass
    (B) at dry bases to the amount of crop ET (Y/ET)
    and (B/ET).
  • For cotton, WUE was calculated as dry lint yield
    to the amount of ET.

14
Working hypothesis
  • The relationship between yield and ET is an
    appropriate framework to investigate the pattern
    of DI.
  • Linear models were fitted to the data
  • Y a1 (ET) b1
  • B a2 (ET) b2
  • (WUE Y ET-1 WUE B ET-1)

15
Advantages
  • Simplest and more often used to describe the
    relationship between Y and B, and ET.
  • Have important implications for WUE, either at
    grain or seed basis, or biomass basis.
  • Depending on whether the slope is constant or
    variable, and whether the intercept is zero or
    negative, the expected relationship between Y and
    B and ET can be outlined (WUE Y ET-1)
  • Departure from linearity can be tested through
    regression of log Y on log ET, or log B on log ET.

16
Disadvantage
  • Can produce misleading results when the
    y-intercept differs from zero. At this point,
    polynomial regressions are preferred.

17
CROP WATER REQUIREMENTS
  • Defined as the amount of water, applied at
    appropriate periods of time, to control the soil
    moisture deficit, caused by the potential
    evapotranspiration of the crop.
  • An estimation of the crop water requirements can
    be made using different methods.
  • Hourly
  • Daily
  • Seasonally

18
CROP WATER REQUIREMENTS
  • Two general methods were used for CWR
  • Indirect Method The Climatic-Water Balance
  • Empirical formulas
  • Direct Method The Soil-Water Balance
  • Rye-grass Lysimeter
  • Crop Drainage Lysimeter
  • Crop Weighing Lysimeter

19
The Climatic-Water Balance FAO Penman-Montheith
Equation
ETc ETo Kc
20
Daily Time Course of Potential Evapotranspiration
at Tal Amara
21
CONCEPT OF THE SOIL-WATER BALANCE
  • Dynamic-oriented Process
  • Where t2t1 is the time interval over which
    measurements are made, zo is the soil surface and
    z is the depth to the lowest point of measurement
    and ? is the volumetric soil water content.

22
Weighing Lysimeter (ETcrop)
  • ET measurements (Hourly and Daily)
  • Location (middle of the Exp. field)
  • Area (4 ? 4 m²)
  • Watered at 30 of SWD
  • Linked to a weight indicator
  • Weight loss recorded (4 times/hr 94
    readings/day)

23
Drainage Lysimeters (ETcrop and ETref)
  • ET measurements (3-to-4 day interval)
  • Location (middle of the Exp. field)
  • Area (2 ? 2 m²)
  • Watered at 30 of SWD using digital water markers
  • ET I D ?Q
  • (?Q 0 when irrigation are frequent)

24
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25
Irrigation treatments
26
Daily and Seasonal ET of Soybean by the weighing
lysimeter
27
Daily Crop Coefficients of Soybean
28
Daily and Seasonal ET of Cotton by the Drainage
lysimeter
29
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30
Maize (1998 - 1999)
(data points are means of five quadrates of 1m2
each per treatment)
31
Soybean (2000-2001)
(data points are means of five quadrates of 1m2
each per treatment)
32
Cotton (2001-2002)
(data points are means of five quadrates of 1m2
each per treatment)
33
Sunflower (2003-2004)
(data points are means of five quadrates of 1m2
each per treatment)
34
Concluding remarks
  • Improvement of water use efficiency of the
    cultivated crops requires information on water
    stock in the root zone
  • Irrigation timing and volume requires information
    on the sensitivity of the different growth stages
    to DI
  • Creation of a national database for the irrigated
    crops in Lebanon with emphasis to agro-climatic
    zoning.
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