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Introduction

Cotton is an important commercial crop in the world. Indian economy continues to receive great support from the most important commercial fibre crop. However, the productivity of cotton crop is still below the potential because of high evaporative conditions, scarcity of groundwater, deficient rainfall, and poor water management practices like poor scheduling of cotton during water scarce conditions, lack knowledge on the frequency of irrigation during low availability of water, low water application efficiencies, water use efficiencies in surface irrigation practices and climatic conditions with poor and erratic rainfall. Therefore in irrigated areas, irrigation scheduling is a main factor for farmers to increase crop yield and save water.

Adverse environmental conditions coupled with water scarcity intrigued farmers of this region to adopt drip irrigation with mulch in Bt. Cotton for mitigating the impact of climatic aberrations. Proper irrigation scheduling is prime requirement for on farm water management.³Determination of crop evapotranspiration (ET_c) is fundamental requirement for scheduling. Crop coefficient (Kc) algorithm method is most popular to estimate ET_c.²

ET_c=Kc×ET₀

Doorenbos and Pruitt (1977) recommended accepted equations for computation of ET_o. Recently, the FAO-56¹suggested Penman-Monteith (P-M) combination equation. Various tabulated values of K_cobtained from field and lysimeter ET_cmeasurements provided in literature.^2,6,7,8,9Use of K_capproach is indisputable but its adoption for generalizing K_ccurves can lead to errors.⁵As it is difficult to develop locally K_cvalues, most researcher dependent on published values. No study is reported to develop crop coefficient for drip irrigated biodegradable mulch cotton subjected to variable irrigation regimes in this region. The objective is to develop the K_ccurves for drip irrigated mulched cotton using soil moisture sensors installed at different depth for the period 2013-2015. Generalized FAO K_cvalues adjusted for local climate and management compared with Sensor based K_c.

Materials and Methods

Experiment was conducted at Junagadh Agricultural University (21°30’ N, 70°27’ E and 77.5 above mean sea level) for two consecutive years during Kharif season of 2012-13 and 2013-14 to develop the K_c曲线为滴灌灌溉可生物降解塑料μlched (20 micron) cotton (Hy-6, BG-II) with irrigation regimes; 1.0 IW/ETc (I₁) and 0.8 IW/ETc (I₂) along with no mulch. Soil is sandy loam (1-1.5m depth) with volumetric water content at field capacity and wilting point determined at 39 and 15% respectively. Two cotton seeds were sown at 2.5cm depth directly through the holes made on the mulch film. Thinning as well as gap filling was done after germination of plants. The recommended package of agronomical practices was adopted. Recommended dose of fertilizer (160:0:120 NPK kg/ha) was applied. Fifty per cent N and K fertilizers was given as basal before spreading the mulching sheet. The remaining N and K was given as four equal splits at vegetative, bud formation, flowering and boll development stages was applied through drip irrigation. Irrigation water applied using heavy duty black colored LLDPE lateral line of 16 mm diameter x 2.5 kg/cm²with emitter discharge of 2 lph with spacing of 0.4m.

Determination of FAO K_cCurves

K_cis determined for three cases. First case is determination of crop coefficient as per the FAO approach. The second case is the determination of K_cfor a particular mulch as suggested by FAO 56. The third is determination of K_cfor a particular mulch and for a particular irrigation interval as per the sensor based daily observations.

Kc for no Mulch as per FAO 56

K_cfor the initial stage (K_{c ini}) calculated using procedure suggested by FAO for a trickle irrigation system from the following figure given by FAO 56. FAO also suggested adjustment for partial wetting by irrigation, in which,f_w, may be only 0.4. Value for K_{c ini}obtained using equation

Infiltration depth calculated using equation

The crop coefficient of cotton crop as per FAO is 0.35 (using equation 4), 1.15-1.20 and 0.70-0.50 for K_cini, K_{c mid}and K_cend, respectively from Table 12 of FAO 56 for drip irrigated cotton crop without mulch (control), The above values were corrected for non-standard conditions using FAO 56 procedure.

Crop coefficient for plastic mulched cotton as per FAO 56

As 50-80% reduction in soil evaporation, the K_cvalues decrease by an average of 10-30%. The value for K_{c ini}under mulch is often as low as 0.10 suggested by FAO 56. So the crop coefficient of cotton crop under mulching were reduced by 15% for K_{c mid}and K_cend. Corrections for local conditions were followed as per equation 3 and 4.

Actual Evapotranspiration of Cotton

Actual evapotranspiration ET_a(ET_c) was calculated using soil moisture sensors with data loggers installed at different depth in different treatment for getting soil moisture periodically. It was calculated using following equation.

Where, ET_a= Actual Evapotranspiration (mm), M₁= Moisture content after irrigation (m³m^-3), M₂= Moisture content before irrigation (m³m^-3), Zr = Rooting depth (m), BD = Bulk density (g/cc).

Irrigation was given based on the equation (1) considering the application efficiency of drip irrigation 90% at 0.8 IW/ET_cand 1.0 IW/ET_c.The rooting depth of Bt. Cotton was calculated using model developed by Fereres.⁴

The reference evapotranspiration (ET₀) was estimated using Penman Monteith (PM FAO-56) equation.

Crop coefficient based on moisture sensor observations

The actual cotton crop evapotranspiration (ET_a) estimated using sensors under different treatments (equation 5) and reference evapotranspiration (ET_o) estimated by FAO Penmen Monteith (equation 7), the sensor based K_cvalues were developed as

The sensor based K_ccurve was compared with K_ccurves developed as per FAO 56 for no mulch and with mulch conditions for different irrigation regimes (1.0 IW/ET_cand 0.8 IW/ET_c).

Results and Discussion

K_{c ini}for drip irrigated cotton without mulch for 2013-14 and 2014-15 was 0.35 as per equation 1. FAO 56 suggested K_{c mid}and K_cendvalues for drip irrigated cotton crop without mulch (control) as 1.20 and 0.50, respectively. The corrected K_{c mid}and K_cendfor local conditions for 2013-14 and 2014-15 were 1.22 and 0.48 and 1.23 and 0.48 as per equation 3 and 4 respectively. FAO 56 suggested K_cini, K_{c mid}and K_cend值下的棉花作物生物可降解塑料mulch was 0.1, 1.063 and 0.45, respectively. These values were corrected for local conditions as per the procedure suggested by FAO 56 using equation 3 and 4. The corrected values of K_cini, K_{c mid}and K_cendwere 0.1, 1.036 and 0.425 for 2014-15, respectively. Temporal variation of ET_a/ET_odepicts the seasonal trend of sensor based K_c, whereas the spikes are due to high rates of evapotranspiration. Sensor based K_ccurves were compared with the adjusted FAO K_ccurves for different mulches and irrigation regimes. Adjusted FAO K_cremain same for a particular mulch at all irrigation regimes. Adjusted FAO K_ccurves and sensor based K_ccurves at different irrigation regimes for biodegradable plastic mulch and control are shown in Figure 2 and 3.

Figure 1 Click here to View figure

Figure 2 Click here to View figure

Figure 3 Click here to View figure

The comparison of K_ccurves for biodegradable plastic mulch and control as per FAO K_cand sensor based K_cat I₂and I₁differed considerably during both years. Sensor based K_{c ini,}K_c-dev,K_c-midand K_c-endwere lower by 11.58%, 9.13%, 30.04% and 11.58% and 8.42%, 5.63%, 12.99% and 0.25% than FAO adjusted values for I₂and I_1,respectively for biodegradable plastic mulch. Whereas, it were lower by 24.51%, 21.10%, 29.27% and 16.20% and 5.32%, 8.98%, 13.21% and -1.47% than FAO adjusted for I₂and I_1,respectively for control. Adjusted FAO K_coverestimated ET_cat all growth stages during two consecutive years. A considerable deviation in pooled adjusted FAO and sensor based K_cfor biodegradable plastic mulch over control is observed in Table 1 and Figure 4 and 5. It was lower by 72.26%, 29.49%, 14.23% and 9.50% and 66.54%, 16.11%, 12.21% and 2.94% than sensor based K_cof no mulch K_c-ini, K_c-dev, K_c-midand K_c-end,respectively at I₁and I₂. Farahaniet al.(2008) also reported that during the mid-season stage, the adjusted FAO K_cwas 24% higher than the locally developed K_c.

Irrigation water demand was also estimated using Pan ET method using adjusted FAO K_cfor respective treatments and compared with water requirement estimated using sensor based ET_avalues depicted in Table 2. It indicated that cumulative irrigation water estimated by Pan ET_capproach was higher of 16.06% & 13.28% than sensor based irrigation at I₁and I₂respectively.

Figure 4 Click here to View figure

Figure 5 Click here to View figure

Table 1: Adjusted FAO K_cand average sensor based K_cfor various treatments

Table 2: Irrigation water requirement estimated by different approaches

Conclusions

Crop coefficient curves for biodegradable plastic mulched cotton was developed for two irrigation regimes. Two sets of K_ccurves were developed, sensor based K_ccurves as the ratio of measured ET_ato ET_oand the generalized K_cvalues published by FAO that were adjusted for local climate for the two years. Sensor based K_ccurves not only differed among the two years, but also from the adjusted FAO K_cvalues. Biodegradable plastic mulch reduced K_c-ini, K_c-dev, K_c-midand K_c-endvalues by 72.26%, 29.49%, 14.23% and 9.50% and 66.54%, 16.11%, 12.21% and 2.94% over control at 1.0 IW/ET_cand 0.8 IW/ET_crespectively. Overestimation of seasonal ET_cusing adjusted FAO K_cvalues, cautioning against their blind application without some verification.

References

1. Allen, R., Pereira, L. A., Raes, D. and Smith, M. Crop evapotranspiration.FAO Irrigation and Drainage Paper. No. 56 (1998).
2. Doorenbos, J. and Pruitt, W.O. Guidelines for predicting crop water requirements. FAO-ONU, Rome,Irrigation and Drainage Paper24 (rev.) (1977).
3. Farahani, J., Oweis, T. Y. and Izzi, G. Crop coefficient for drip-irrigated cotton in a Mediterranean environment.Irrigation science. 26 (5):375-383 (2008).
   CrossRef
4. Fereres, E.; Goldfien, R. E.; Pruitt, W. O.; Henderson, D. W. and Hagan, R. M. The irrigation management program: A new approach to computer assisted irrigation scheduling.of irrigation scheduling for water and energy conservationin the 80^sASAE, St. Joseph, Michigan.:202-207 (1981).
5. Hunsaker, J., Pinter, P. J., Barnes, E. M. and Kimball, B. A. Estimating cotton evapotranspiration crop coefficients with a multi spectral vegetation index.Irrig. Sci.22(2): 95–104 (2003).
   CrossRef
6. Jensen, M. E., Burman, R. D. and Allen, R.G. Evapotranspiration and irrigation water requirements.ASCE Manual No70 (1990).
7. Wright, L. Recent developments in determining crop coefficient values. Proc. 1979Irrig. and Drain Div. Spec Conf. ASCE. New York, N.Y.: ASCE.:161–162 (1979).
8. Wright, L. Crop coefficient for estimates of daily crop evapotranspiration.In:Proc. ASAE Irrig. Scheduling Conf. St. Joseph, MI: ASAE.:18–26 (1981).
9. Wright, J. L. New evapotranspiration crop coefficients.J. Irrig. Drain. Div. ASCE.108(1):57–74 (1982).