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Soil water storage variability in a three-dimensional analysis in the root zone of irrigated melon

ABSTRACT

A detailed knowledge of the soil water storage variability in the root zone can promote recommendations regarding the ideal positioning of sensors, as well as make the calculation of soil water balance more precise and accurate. This study aimed to assess soil water storage variability in the melon root zone and indicate – based on spatial variation of soil water storage – the regions of highest rootactivity of the melon crop in different development stages. Soil waterstorage was measured using time domain reflectometry (TDR) in 40 monitoring points. The data were daily collected in two periods: (i) immediately before irrigation and (ii) 30 min after irrigation. The soil water storage variation in the melon root zone occurs with greater intensity throughout the time of vegetative growth and the highest values are always observed in the same distances and depths of the soil in all phases of growth. The region indicated as of greatest root activity of the melon crop under drip irrigation is delimited, inrelation to the stem, by the radial distance of 0.36 m and depth of0.3 m, for all development stages.

Key words
soil water balance; drip irrigation; irrigation management

INTRODUCTION

Detailed understanding on the spatial-temporal variation of soil water storage in the root zone of crops can promote recommendations, as well as the effective root depth for water uptake, promoting accuracy in the irrigation depth calculation (Silva et al. 2015Silva, A. J. P., Coelho, E. F. and Coelho Filho, M. A. (2015). Water extraction variability in the banana root zone affects the reliability of water balance. Scientia Agricola, 72, 1-10. https://doi.org/10.1590/0103-9016-2014-0003
https://doi.org/10.1590/0103-9016-2014-0...
; Silva et al. 2018Silva, A. J. P., Coelho, E. F., Coelho Filho, M. A. and Souza, J. L. D. (2018). Water extraction and implications on soil moisture sensor placement in the root zone of banana. Scientia Agricola, 75, 95-101. https://doi.org/10.1590/1678-992x-2016-0339
https://doi.org/10.1590/1678-992x-2016-0...
).

Applications of sustainable agricultural methodologies must take into consideration the biophysical process of water uptake by the crops (Green et al. 2006Green, S. R., Kirkham, M. B. and Clothier, B. E. (2006). Root uptake and transpiration: From measurements and models to sustainable irrigation. Agricultural Water Management, 86, 165-176. https://doi.org/10.1016/j.agwat.2006.06.008
https://doi.org/10.1016/j.agwat.2006.06....
; Dabach et al. 2016Dabach, S., Shani, U. and Lazarovitch, N. (2016). The influence of water uptake on matric head variability in a drip-irrigated root zone. Soil and Tillage Research, 155, 216-224. https://doi.org/10.1016/j.still.2015.08.012
https://doi.org/10.1016/j.still.2015.08....
). Knowledge about root system distribution can serve as a basis to recommend the positioning of sensors and application of nutrients (Sant’ana et al. 2012Sant’ana, J. D. V., Coelho, E. F., Faria, M. D., Silva, E. D. and Donato, S. L. R. (2012). Distribuição de raízes de bananeira ‘Prata-Anã’ no segundo ciclo de produção sob três sistemas de irrigação. Revista Brasileira de Fruticultura, 34, 124-132. https://doi.org/10.1590/S0100-29452012000100018
https://doi.org/10.1590/S0100-2945201200...
; Lucas et al. 2012Lucas, A. A. T., Frizzone, J. A. and Coelho Filho, M. A. (2012). Características da distribuição radicular de maracujazeiro sob fertirrigação. Irriga, 17, 245-250. https://doi.org/10.15809/irriga.2012v17n2p245
https://doi.org/10.15809/irriga.2012v17n...
). Nevertheless, studies reveal that there is not always a well-defined relationship between soil water storage distribution and root distribution (Silva et al. 2009Silva, A. J. P., Coelho, E. F., Miranda, J. H. D. and Workman, S. R. (2009). Estimating water application efficiency for drip irrigation emitter patterns on banana. Pesquisa Agropecuária Brasileira, 44, 730-737. https://doi.org/10.1590/S0100-204X2009000700013
https://doi.org/10.1590/S0100-204X200900...
; Raza et al. 2013Raza, A., Friedel, J. K., Moghaddam, A., Ardakani, M. R., Loiskandl, W., Himmelbauer, M. and Bodner, G. (2013). Modeling growth of different lucerne cultivars and their effect on soil water dynamics. Agricultural water management, 119, 100-110. https://doi.org/10.1016/j.agwat.2012.12.006
https://doi.org/10.1016/j.agwat.2012.12....
; Silva et al. 2015Silva, A. J. P., Coelho, E. F. and Coelho Filho, M. A. (2015). Water extraction variability in the banana root zone affects the reliability of water balance. Scientia Agricola, 72, 1-10. https://doi.org/10.1590/0103-9016-2014-0003
https://doi.org/10.1590/0103-9016-2014-0...
).

Some recommendations for sensor positioning and application of nutrients based on the knowledge about the effective zones of soil water storage variation by plants have been made (Soulis et al. 2015Soulis, K. X., Elmaloglou, S. and Dercas, N. (2015). Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems. Agricultural Water Management, 148, 258-268. https://doi.org/10.1016/j.agwat.2014.10.015
https://doi.org/10.1016/j.agwat.2014.10....
; Soulis and Elmaloglou 2016Soulis, K. X. and Elmaloglou, S. (2016). Optimum soil water content sensors placement in drip irrigation scheduling systems: concept of time stable representative positions. Journal of Irrigation and Drainage Engineering, 142, 04016054-1-04016054-9. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001093
https://doi.org/10.1061/(ASCE)IR.1943-47...
), although these studies report that the knowledge about the soil water storage variations in the root zones of various crops is still of prime necessity.

Silva et al. (2015)Silva, A. J. P., Coelho, E. F. and Coelho Filho, M. A. (2015). Water extraction variability in the banana root zone affects the reliability of water balance. Scientia Agricola, 72, 1-10. https://doi.org/10.1590/0103-9016-2014-0003
https://doi.org/10.1590/0103-9016-2014-0...
considered the variation of soil water storage by the root system of banana trees without disregarding the evaporation in their measurements. However, aiming at the best accuracy and precision in the measurements, these authors monitored moisture variation in four monitoring profiles and four depths: 0.1, 0.3, 0.5 and 0.7 m.

Most studies on water movement towards plant roots focus on fruit crops (Coelho et al. 2010Coelho, E. F., Silva, A. J. and Miranda, J. H. D. (2010). Sensor placement for soil water monitoring in banana crop irrigated by drip irrigation systems. Engenharia Agrícola, 30, 608-618. https://doi.org/10.1590/S0100-69162010000400005
https://doi.org/10.1590/S0100-6916201000...
; Silva et al. 2015Silva, A. J. P., Coelho, E. F. and Coelho Filho, M. A. (2015). Water extraction variability in the banana root zone affects the reliability of water balance. Scientia Agricola, 72, 1-10. https://doi.org/10.1590/0103-9016-2014-0003
https://doi.org/10.1590/0103-9016-2014-0...
; Silva et al. 2018Silva, A. J. P., Coelho, E. F., Coelho Filho, M. A. and Souza, J. L. D. (2018). Water extraction and implications on soil moisture sensor placement in the root zone of banana. Scientia Agricola, 75, 95-101. https://doi.org/10.1590/1678-992x-2016-0339
https://doi.org/10.1590/1678-992x-2016-0...
) and annual crops (Zarebanadkouki et al. 2012Zarebanadkouki, M., Kim, Y. X., Moradi, A. B., Vogel, H. J., Kaestner, A. and Carminati, A. (2012). Quantification and modeling of local root water uptake using neutron radiography and deuterated water. Vadose Zone Journal, 11, 3. https://doi.org/10.2136/vzj2011.0196
https://doi.org/10.2136/vzj2011.0196...
), and only a few studies deal with curcubitaceous vegetable, such as melon (Mota et al. 2010Mota, J. C. A., Libardi, P. L., Brito, A. D. S., Assis Júnior, R. N. D. and Amaro Filho, J. (2010). Armazenagem de água e produtividade de meloeiro irrigado por gotejamento, com a superfície do solo coberta e desnuda. Revista Brasileira de Ciência do Solo, 34, 1721-1731. https://doi.org/10.1590/S0100-06832010000500024
https://doi.org/10.1590/S0100-0683201000...
).

In this study we investigated the hypothesis that soil water storage variability affects soil water balance reliability and irrigation management, with the objective of evaluate soil water storage variability in the melon root zone; and indicate – based on spatial variation of soil water storage – the region of highest root activity of the melon crop in different development stages.

MATERIALS AND METHODS

The study was carried out at field at the Federal Institute of Education, Science and Technology of Bahia – IF Baiano, Campus of Senhor do Bonfim-BA (10º 26’ 44’’ S ; 40° 08’ 55’’ W and 532 m alt). A melon orchard was planted on May 3, 2016, using “Redondo Gaúcho” melon. In the cultivation area, 21 drainage lysimeters were installed, with volume of 1.12 m3, length of 1.4 m, width of 1 m and depth of 0.8 m. The soil used to fill the lysimeter came from the planting area, and some of its physical-hydraulic characteristics are presented in Table 1.

Table 1
Soil water retention, soil density (ds) and soil textural classification.

To induce free drainage, the lysimeters had a 0.1-m-thick layer of crushed stone and a 0.1-m-thick layer of washed sand at the bottom, as well as perforated PVC pipes to convey the drained water to taps at the lowest part of the terrain.

Microirrigation was used in the experiment by installing a drip system with KATIF emitters with flow rate of 2.3 L·h-1, spaced by 0.65 m between the emitters and 2.7 m between the lines, using one dripper per plant. After configuration of the irrigation system, the test of water distribution and uniformity was performed following the methodology proposed by Cristiansen (1942)Christiansen, J. E. (1942). Irrigation by Sprinkling. California Agricultural Experimental Station Bulletin 670. Berkeley: University of California., which showed a mean distribution uniformity of 95%.

Soil water content was monitored inside a lysimeter located in the center of the melon orchard. The lysimeter area was selected to avoid the advection effects suffered by border plants. Soil water content data were collected using Time Domain Reflectometry (TDR100), connected to a CR 800 data logger (Campbell Scientific Inc.). A program was written in BASIC language for reading and storage of dielectric constant (ka) values obtained in the 40 TDR probes installed inside the lysimeter. The data were daily collected, in the morning, at two periods: (i) immediately before irrigation; and (ii) 30 min after irrigation. The TDR probes were built at the laboratory with the following characteristics: three stainless-steel rods with diameter of 0.003 m, effective length of 0.1 m outside the resin and spaced by 0.017 m; 50-ohm coaxial cables; 0.05-m-long layer of polyester resin at the beginning of the rods.

The calibration equation of the probes was obtained based on the adjustment of the apparent (ka measured by TDR in relation to the soil water content (θ). For this, soil sample was collected in the experimental area. The soil was air-dried, sieved (2-mm screen) and stored in a PVC pipe (0.15 m – height × 0.1 m – diameter), homogeneously, approaching the soil density to 1.7 kg.dm3. At the bottom of the PVC pipe, a thin screen with the function of only allowing water to pass through it was installed. The soil was saturated inside the tubes, then the TDR probe was inserted. With the soil in a saturated state, the measurements of PVC pipe + probe + soil + screen weight were initiated, in agreement with the measurements of dielectric constant (ka). Soil water content (θ) for each weighing was determined by Eq. 1:

θ = w 1 - w 2 w 2 - w 3 d s d w (1)

where θ is the soil water content (m3·m-3); w1is the PVCpipe + water + soil + TDR probe + screen weight (kg); w2is the PVC pipe + soil + TDR probe + screen weight (kg); w3is the PVC pipe + TDR probe + screen weight (kg); ds issoil density (1700 kg.m-3); and dw is water density (1000 kg·m-3).

Equation 2 resulted from the TDR calibration process:

θ = 6 * 10 - 5 k a 3 - 3 . 4 * 10 - 3 k a 2 + 7 . 63 * 10 - 2 k a - 0 . 4234 R 2 = 0 . 989 (2)

Irrigation was daily performed and managed based on the soil water content obtained with TDR, considering the water volume necessary to bring the soil to field capacity.

Forty TDR probes were distributed inside the lysimeter in four monitoring profiles: P1, P2, P3, and P4, as illustrated in Fig.1. The profiles P1, P2, P3, and P4 represented the experimental distribution. The different monitoring positions were: 0.18, 0.36, 0.54 m for the profiles 3 and 4, while for the profiles 1 and 2, the positions of the probes were 0.18 and 0.36 m.

Figure 1
Three-dimensional distribution of TDR probes inside the lysimeter

The replicates were represented by the irrigation events, considering five irrigation events in each development stage of the plant.

The different crop phenological stages were determined based on the methodology proposed by Allen et al. (1998)Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. (1998). Crop evapotranspiration – Guidelines for computing crop water requirements – FAO Irrigation and drainage paper 56. FAO, 300, D05109. https://appgeodb.nancy.inra.fr/biljou/pdf/Allen_FAO1998.pdf
https://appgeodb.nancy.inra.fr/biljou/pd...
:

  1. Initial stage – from planting until 10% of soil cover (May 10 to May 23, 2016);

  2. Vegetative growth – 10% of soil cover until total cover (May 23 to June 1, 2016);

  3. Flowering and fruit growth stage – appearance of first inflorescence until appearance of first fruit (June 1 to June 14, 2016);

  4. Maturation of fruit – appearance of first fruit until fruit maturation (June 14 to July 4, 2016).

The soil water storage variation (Δh) in the melon root zone was quantified by Eq. 3, applied to a region of interest in the profile (RiZi):

Δ h = Σ i = 1 n 0 L θ t + 1 d z - 0 L θ 2 d z n (3)

where Δh is the value of soil water storage variation in a region of interest “RiZi” in the soil profile (cm3·cm-3); θt+1 is the soil water content 30 min after irrigation in “RiZi”; θt2 is the value of soil water content immediately before the subsequent irrigation in “RiZi” and Ri and Zi are the limits of distance and depth, respectively; and n is the number of soil water content monitoring points considered (ranging from 1 to 40).

For each monitoring point, soil water availability was determined based on the values of soil water content at field capacity (pressure head – 1 m) and permanent wilting point (– 150 m), through Eq. 4:

A W R i , Z i = θ R i , Z i - θ p w p θ f c - θ p w p (4)

where AW (Ri,Zi)is the soil water availability (%) in one point “RiZi” of the soil profile; θ(Ri,Zi)is the actual soil water content in “RiZi”; (m3·m- 3); θpwpis the soil water content referring to the permanent wilting point and θfcis the soil water content referring to the field capacity.

The variability of soil water storage in the melon root zone was obtained according to the different soil water content monitoring positions and time, measured based on the values of coefficient of variation, following the criteria proposed by Warrick and Nielsen (1980)Warrick, A. W., Nielsen, D. R. (1980). Spatial variability of soil physical properties in the field. In: HILLEL, D. (Ed.). Applications of soil physics (319-344). New York: Academic, 1980., which consider the variability as low when CV < 12%, medium when12% < CV < 60% and high when CV ≥ 60%.

In each melon development stage, a descriptive analysis of the soil water storage data was performed based on the values of mean, coefficient of variation, asymmetry and kurtosis, calculated for the four profiles and the six irrigation events.

RESULTS AND DISCUSSION

Soil water storage (Δh) variation in the melon root zone

Figure 2 shows the differences of Δh variation in the profiles with changes in the melon crop stages. Δh was > 0 in the layers (Z-0.1 to Z-0.3 m) for all development stages of the melon crop. The highest intensity of Δh occurs in the flowering and fruit growth stage. For the initial development stage, the mean daily values of Δh ranged from 5 × 10-3cm3·cm-3to 0.02 cm3·cm-3in the most superficial soil layer: Z-0.1 m (means obtained with all radial distances). In the layer Z-0.1 m, in the stages of vegetative growth, flowering and fruit growth and maturation of fruit, the mean values of soil water storage were 0.004 cm3·cm-3to 0.023 cm3·cm-3, 0.005 cm3·cm-3to 0.042 cm3·cm-3and 0.004 cm3·cm-3to0.032 cm3·cm-3, respectively.

Figure 2
Three-dimensional distribution of soil water storage (cm3cm-3) in the root zone of irrigated melon in diff erent development stages.

Despite the increase in soil water storage over time, there was no percentage increase of soil water storage in the superficial layer for the other stages, indicating the increase of root activity in subsurface even in the flowering stage. The percentage values of water outflow observed in the layer Z-0.1 m in relation to the total of the profile were 42.25%, 20.85%, 27.43% and 31.91% in the initial, vegetative growth, flowering and fruit growth stages, respectively.

There was an increase of 4.48% in uptake in the superficial layer for the fruit growth stage, indicating that the soil water storage activity occurs mostly in the layer Z-0.1 m for the melon crop under the studied conditions. In the vegetative growth stage, there was also an uptake activity in the layer Z-0.4 m, which can be attributed to the outflows through percolation inside the lysimeter, with a percentage value of 33.64% in relation to the total.

The values shown in Fig. 3 are mean contents of available water in the soil obtained in the same irrigation events, used to calculate the values of soil water storage presented in Fig. 2.The contents of available water in the most superficial soil layer are always close to 100%, indicating the adequacy of the irrigation management based on water storage variation in the melon root zone, because the replacement of water to the soil is calculated as a function of the integration of the water volume necessary to bring soil moisture back to field capacity in each TDR-monitored point.

Figure 3
Distribution of soil water availability (%) inside the lysimeter 30 minutes aft er irrigation for the diff erent development stages of the melon crop

It is possible to observe that the water distribution in the superficial layers occurs at an approximate distance of 0.25 m from the plant, forming a wet bulb with diameter of 0.5 m. Such water distribution is attributed to the emitter used, which irrigates only 14.02% of the area occupied by the plant.

Based on the coefficients of variation obtained with the values of the available water variability that generated Fig. 3, the variability of the available water contents after irrigation can be considered as high, in all evaluated soil layers (Table 2). The coefficients of variation obtained with the results of soil water storage variability that generated Fig. 2 are high, especially in the layer Z-0.1 m, where the highest uptake occurred in all crop stages.

Table 2
Coefficients of variation (%) for the radial distribution of soil water storage variation (Δh) and soil water availability (SWA) in the melon crop at different soil depths.

The water uptake in the melon root zone was not proportional to the soil water availability, which is different from the results obtained by Coelho et al. (2010)Coelho, E. F., Silva, A. J. and Miranda, J. H. D. (2010). Sensor placement for soil water monitoring in banana crop irrigated by drip irrigation systems. Engenharia Agrícola, 30, 608-618. https://doi.org/10.1590/S0100-69162010000400005
https://doi.org/10.1590/S0100-6916201000...
, Soulis et al. (2015)Soulis, K. X., Elmaloglou, S. and Dercas, N. (2015). Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems. Agricultural Water Management, 148, 258-268. https://doi.org/10.1016/j.agwat.2014.10.015
https://doi.org/10.1016/j.agwat.2014.10....
and Soulis and Elmaloglou (2016)Soulis, K. X. and Elmaloglou, S. (2016). Optimum soil water content sensors placement in drip irrigation scheduling systems: concept of time stable representative positions. Journal of Irrigation and Drainage Engineering, 142, 04016054-1-04016054-9. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001093
https://doi.org/10.1061/(ASCE)IR.1943-47...
, indicating that application of water by irrigation system does not direct influence on soil water storage variation by melon crop. Silva et al. (2015)Silva, A. J. P., Coelho, E. F. and Coelho Filho, M. A. (2015). Water extraction variability in the banana root zone affects the reliability of water balance. Scientia Agricola, 72, 1-10. https://doi.org/10.1590/0103-9016-2014-0003
https://doi.org/10.1590/0103-9016-2014-0...
already observed that the variability of soil water storage in the banana root zone does not have a well-defined relationship with water availability.

Percent distribution of the total soil water storage in layers of the soil profile

Table 3 shows the results of the descriptive statistics for the percentage values of soil water storage in the zone of root activity of the melon crop, quantified at different monitoring positions in six irrigation events, in each of the crop development stages. The values in percent variation of soil water storage were considered as medium to high, following the classification criteria proposed by Warrick and Nielsen (1980)Warrick, A. W., Nielsen, D. R. (1980). Spatial variability of soil physical properties in the field. In: HILLEL, D. (Ed.). Applications of soil physics (319-344). New York: Academic, 1980..

Table 3
Descriptive statistics for the percentage soil water storage in the region explored by melon roots at each soil monitoring positions (%), relative to four profiles and six irrigation events in each melon development stage.

Based on the criteria proposed by Jones (1969)Jones, T. A. (1969). Skewness and kurtosis as criteria of normality in observed frequency distributions. Journal of Sedimentary Research, 39, 1622-1627. https://doi.org/10.1306/74D71EC9-2B21-11D7-8648000102C1865D
https://doi.org/10.1306/74D71EC9-2B21-11...
to accept the hypothesis that a sample with 24 values follows normal distribution (4 profiles × 6 irrigations), the threshold values of asymmetry (G1) and kurtosis (G2) of the data set of soil water storage percentage obtained inside the lysimeter in each monitoring position (Rn, Zn) are -0.96 ≤ G1 ≤ 0.96 and -1.20 ≤ G2 ≤ 2.32 (n=24). Since the probes installed at a distance of 0.54 m from the plant only appear in two profiles, the values of asymmetry (G1) and kurtosis (G2) were conditioned to 12 results (2 profiles × 6 irrigations), and G1 varied from -1.278 to 1.278, while G2 varied from -1.56 to 3.12. Based on the percentage values of soil water storage by the melon crop at distance R from the plant and depth Z, it is observed that not all values follow normal distribution.

Recommendation of the effective region of soil water storage in the melon root zone.

Although there was difference in the intensity of soil water storage variation by the melon root system in the layers over time, due to increase in water demand by the crop during its growth, the percent distribution of soil water storage in the profiles does not vary as much as the intensity of soil water storage over time. This fact demonstrates that the temporal variability of water storage by the melon crop is greater than the spatial variability. A similar result was found by Silvaet al. (2015), evaluating the variability of soil water storage by the root system of banana under micro-sprinkler irrigation.

Table 4 shows the mean percentage values and their standard deviations for the region delimited by the effective soil water storage in distance from the plant and depth, in all development stages. In the initial development stage, 86.56% of the water extracted in the profiles occurred until the layer of Z-0.3 m. The same occurs for the vegetative growth and the flowering and fruit growth stages, and the uptakes were respectively equal to 75.76, 77.06 and 70.34%. Considering as the region of highest water outflow intensity the one whose minimum limit of the total water extracted in distance and depth is 70%, the ideal region to install sensors and apply nutrients in the melon root zone is comprehended between R-0.36 m from the plant and Z-0.3 m of depth.

Table 4
Limits of maximum distance and depth of the effective soil water storage activity by the melon crop in different development stages.

Considering that the soil volume for the determination of water balance in melon and other cucurbits is arbitrarily chosen (Mota et al. 2010Mota, J. C. A., Libardi, P. L., Brito, A. D. S., Assis Júnior, R. N. D. and Amaro Filho, J. (2010). Armazenagem de água e produtividade de meloeiro irrigado por gotejamento, com a superfície do solo coberta e desnuda. Revista Brasileira de Ciência do Solo, 34, 1721-1731. https://doi.org/10.1590/S0100-06832010000500024
https://doi.org/10.1590/S0100-0683201000...
; Monteiro et al. 2013Monteiro, R. O. C., Coelho, R. D., Monteiro, P. F. C., Whopmans, J. and Lennartz, B. (2013). Water consumption and soil moisture distribution in melon crop with mulching and in a protected environment. Revista Brasileira de Fruticultura, 35, 555-564. https://doi.org/10.1590/S0100-29452013000200026
https://doi.org/10.1590/S0100-2945201300...
), the results found in the present study also serve to indicate the monitoring volume of water balance, allowing to control the moisture where the root system has higher activity.

CONCLUSIONS

The soil water storage variation in the melon root zone occurs with greater intensity throughout the time of vegetative growth and the highest values are always observed in the same distances and depths of the soil in all phases of growth.

The region indicated as of greatest root activity of the melon crop under drip irrigation is delimited, in relation to the stem, by the radial distance of 0.36 m and depth of 0.3 m, for all of its development stages.

REFERENCES

  • Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. (1998). Crop evapotranspiration – Guidelines for computing crop water requirements – FAO Irrigation and drainage paper 56. FAO, 300, D05109. https://appgeodb.nancy.inra.fr/biljou/pdf/Allen_FAO1998.pdf
    » https://appgeodb.nancy.inra.fr/biljou/pdf/Allen_FAO1998.pdf
  • Coelho, E. F., Silva, A. J. and Miranda, J. H. D. (2010). Sensor placement for soil water monitoring in banana crop irrigated by drip irrigation systems. Engenharia Agrícola, 30, 608-618. https://doi.org/10.1590/S0100-69162010000400005
    » https://doi.org/10.1590/S0100-69162010000400005
  • Christiansen, J. E. (1942). Irrigation by Sprinkling. California Agricultural Experimental Station Bulletin 670. Berkeley: University of California.
  • Dabach, S., Shani, U. and Lazarovitch, N. (2016). The influence of water uptake on matric head variability in a drip-irrigated root zone. Soil and Tillage Research, 155, 216-224. https://doi.org/10.1016/j.still.2015.08.012
    » https://doi.org/10.1016/j.still.2015.08.012
  • Green, S. R., Kirkham, M. B. and Clothier, B. E. (2006). Root uptake and transpiration: From measurements and models to sustainable irrigation. Agricultural Water Management, 86, 165-176. https://doi.org/10.1016/j.agwat.2006.06.008
    » https://doi.org/10.1016/j.agwat.2006.06.008
  • Jones, T. A. (1969). Skewness and kurtosis as criteria of normality in observed frequency distributions. Journal of Sedimentary Research, 39, 1622-1627. https://doi.org/10.1306/74D71EC9-2B21-11D7-8648000102C1865D
    » https://doi.org/10.1306/74D71EC9-2B21-11D7-8648000102C1865D
  • Lucas, A. A. T., Frizzone, J. A. and Coelho Filho, M. A. (2012). Características da distribuição radicular de maracujazeiro sob fertirrigação. Irriga, 17, 245-250. https://doi.org/10.15809/irriga.2012v17n2p245
    » https://doi.org/10.15809/irriga.2012v17n2p245
  • Mota, J. C. A., Libardi, P. L., Brito, A. D. S., Assis Júnior, R. N. D. and Amaro Filho, J. (2010). Armazenagem de água e produtividade de meloeiro irrigado por gotejamento, com a superfície do solo coberta e desnuda. Revista Brasileira de Ciência do Solo, 34, 1721-1731. https://doi.org/10.1590/S0100-06832010000500024
    » https://doi.org/10.1590/S0100-06832010000500024
  • Monteiro, R. O. C., Coelho, R. D., Monteiro, P. F. C., Whopmans, J. and Lennartz, B. (2013). Water consumption and soil moisture distribution in melon crop with mulching and in a protected environment. Revista Brasileira de Fruticultura, 35, 555-564. https://doi.org/10.1590/S0100-29452013000200026
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Publication Dates

  • Publication in this collection
    13 Dec 2019
  • Date of issue
    Oct-Dec 2019

History

  • Received
    13 Feb 2019
  • Accepted
    29 Apr 2019
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