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Soil Science Society of America Journal 66:1603-1609 (2002)
© 2002 Soil Science Society of America

DIVISION S-6—SOIL & WATER MANAGEMENT & CONSERVATION

High-Energy-Moisture-Characteristic Aggregate Stability as a Predictor for Seal Formation

G. J. Levy* and A. I. Mamedov

Institute of Soil, Water, and Environmental Sciences, Agricultural Research Organization (ARO), The Volcani Center, P.O. Box 6, Bet-Dagan 50-250, Israel

* Corresponding author (vwguy{at}agri.gov.il)


    ABSTRACT
 TOP
 NOTES
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 SUMMARY AND CONCLUSIONS
 REFERENCES
 
Past attempts to use aggregate stability to predict soil susceptibility to seal formation indices (final infiltration rate and runoff) have yielded inconsistent results. We hypothesized that determining aggregate stability in a method in which a controlled wetting process was used to break aggregates will correlate well with seal formation indices, as the latter strongly depend on rate of aggregate wetting. We studied aggregate stability from soils varying in clay content, and exchangeable Na percentage (ESP), using the high-energy-moisture-characteristics (HEMC) method. Aggregate stability indices were correlated with previously published seal formation data for the same soils. Aggregates were placed in a funnel equipped with a fritted disk, and wetted either fast (100 mm h-1) or slow (2 mm h-1), using a peristaltic pump. Thereafter, the aggregates were subjected to a stepwise increase in matric potential up to 5.0 J kg-1, to obtain a moisture retention curve, which served as the base for calculations of stability parameters. Aggregate stability correlated with clay content, but not with soil organic matter. Aggregate stability and sodicity correlated only in clay soils. Generally, poor correlation (R < 0.5) was obtained between aggregate stability and seal formation and runoff data, irrespective of soil ESP, when infiltration and runoff measurements were carried out on fast-wetted soils. Conversely, aggregate stability significantly correlated (R > 0.70) with seal formation and runoff data from slow wetted soils for samples having ESP of <6.6. Our results suggest that aggregate stability determined with the HEMC method could serve as a predictor for soil susceptibility for seal formation only under the aforementioned specific conditions.

Abbreviations: HEMC, high energy moisture characteristic • MC, moisture curve • ESP, exchangeable Na percentage • VDP, volume of drainable pores


    INTRODUCTION
 TOP
 NOTES
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 SUMMARY AND CONCLUSIONS
 REFERENCES
 
SOIL SUSCEPTIBILITY TO SEAL FORMATION is typically characterized by changes in soil infiltration rate and runoff volume. Sealing is the result of two complementary mechanisms (Agassi et al., 1981): (i) the physical disintegration of surface soil aggregates, and subsequent compaction of the disintegrated aggregates by raindrop impact; and (ii) the physicochemical dispersion of soil clays, which migrate into the soil with the infiltrating water clogging pores immediately beneath the surface and forming a layer of low permeability termed the "washed in" zone (McIntyre, 1958). The role of the latter mechanism in seal formation has been studied extensively (Shainberg and Levy, 1992, and references cited therein). It was concluded that seal formation and rain infiltration were influenced by soil ESP and the electrolyte concentration and composition of the applied water (Agassi et al., 1981; Kazman et al., 1983). Conversely, the mechanical process that breaks soil aggregates and compacts surface soil is less clear and is known to depend in addition to rain properties also on surface aggregate stability (Moldenhauer and Kemper, 1969).

The uncertainty clouding the effects of aggregate stability on soil susceptibility to seal formation may stem from the fact that aggregate breakdown by water may result from a variety of physical and physicochemical mechanisms. Four main mechanisms have been identified: (i) slaking, that is, breakdown caused by compression of entrapped air during fast wetting (Panabokke and Quirk, 1957); (ii) breakdown by differential swelling during fast wetting (Kheyrabi and Monnier, 1968); (iii) breakdown by impact of raindrops (McIntyre, 1958); and (iv) physicochemical dispersion because of osmotic stress upon wetting with low electrolyte water (Emerson, 1967). These mechanisms differ in the type of energy involved in aggregate disruption. For instance, swelling can overcome attractive pressures in the magnitude of megapascals (Rengasamy and Olsson, 1991) while slaking and impact of raindrops can overcome attractive pressures in the range of kilopascals only (Rengasamy and Sumner, 1998). In addition, the various mechanisms may differ in the size distribution of the disrupted products (Farres, 1980; Chan and Mullins, 1994), and in type of soil properties affecting the mechanism (Le Bissonnais, 1996). Regarding the latter, slaking may be affected by porosity and internal cohesion while physicochemical dispersion will be affected by clay mineralogy, ionic composition, and concentration.

There are numerous methods for determining aggregate stability. Common methods include wet sieving (Kemper and Koch, 1966; Kemper and Rosenau, 1986), the drop test technique (Farres, 1980), and application of ultrasonic energy (North, 1976). Recently, Le Bissonnais (1990)(1996) proposed to use wet sieving in alcohol together with three treatments (i.e., fast wetting, slow wetting, and shaking after prewetting with a nonpolar liquid) as a measure of aggregate stability. Different processes dominate in the breakdown of the aggregates in the various stability tests (Loch, 1994). Thus not surprising it has been reported that use of different methods for determining aggregate stability has resulted in different rankings of soils studied (Amezketa et al., 1996; Le Bissonnais and Arrouays, 1997).

Among the many methods known to have been used for assessing aggregate stability, yet not a very common one, is the HEMC method (Childs, 1940; Pierson and Mulla, 1989). In this method, the wetting process is accurately controlled and energy of hydration and entrapped air are the only forces responsible for breaking down of aggregates. Aggregate stability is inferred from changes in pore-size distribution following wetting. Levy and Miller (1997) used the HEMC method and obtained significant correlations between aggregate stability indices and infiltration rate and runoff for numerous predominantly kaolinitic southeastern U.S. soils.

Recently, some studies have clearly demonstrated the predominant role of aggregate wetting rate in determining soil susceptibility to sealing and runoff (Le Bissonnais and Singer, 1992; Levy et al., 1997; Mamedov et al., 2001). Furthermore, Mamedov et al. (2001) have shown that for clay soils (>40% clay), slow wetting of aggregates (2 mm h-1) almost prevented seal formation and runoff. This indicated that in these soils, impact energy of raindrop was not enough to disintegrate aggregates and lead to soil sealing. The observations of the aforementioned studies may explain, at least partially, the reason for the correlation between aggregate stability indices obtained using the HEMC method and infiltration and runoff data for southeastern U.S. soils (Levy and Miller, 1997). This correlation could be ascribed to the fact that the same mechanism (i.e., rate of aggregate wetting) largely controlled the parameters studied in the two investigations (aggregate stability vs. infiltration rate and runoff).

The objectives of the current study were: (i) to evaluate aggregate stability of several cultivated predominantly smectitic Israeli soils varying in clay content (80–690 g kg-1), and level of sodicity (0.9 < ESP < 10) using the HEMC method, and (ii) to test the suitability of the aggregate stability parameters derived from the HEMC method for assessing soil susceptibility to seal formation and runoff. Data for seal formation and runoff were obtained for the same soils from the rainfall simulation studies of Mamedov et al. (2001).


    MATERIALS AND METHODS
 TOP
 NOTES
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 SUMMARY AND CONCLUSIONS
 REFERENCES
 
Soils
Soil samples from 0- to 250-mm depth from cultivated fields in Israel, representing major agricultural soil series, were used in the current study. The soils were predominantly smectitic and contained some kaolinite and illite. Samples were taken from six sites with naturally occurring low- (ESP < 2.5), medium- (ESP ~ 5), and high-sodicity level (ESP ~ 10), all together 18 samples. Divergence in ESP level within a soil type were because of differences in water quality used for irrigation (fresh water or treated effluent, corresponding to low and medium sodicity, respectively) or because of soil leveling that was done in the 1960s (high sodicity). In addition, six more samples with low ESP were taken from different fields to obtain a wide range of soils varying in their clay content. The samples (totaling 24) were brought to the laboratory, air-dried and sieved to <2 mm. Selected physical and chemical properties of the soils, determined by standard analytical methods (Klute, 1986; Page et al., 1986), are presented in Table 1.


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Table 1. Chemical and physical properties of soils studied.

 
Aggregate Stability Determination
Theory
The HEMC method for determining aggregate stability was first proposed by Childs (1940), later modified by Collis-George and Figueroa (1984), and further modified by Pierson and Mulla (1989), where a detailed description of the method is presented.

Briefly, aggregates are wetted either slowly or rapidly in a controlled manner, and a moisture content (MC) curve at high energies (i.e., energies up to 500 mm H2O tension) is performed. An index of aggregate stability is obtained by quantifying differences in MC curves for fast and slow wetting (Fig. 1a) . For a given wetting rate, a structural index is defined as the ratio of volume of drainable pores (VDP) to modal suction (Collis-George and Figueroa, 1984). Modal suction corresponds to matric potential ({psi}, J kg-1) at the peak of the specific water capacity curve (d{theta}/d{psi}), where {theta} is the water content (kg kg-1) (Fig. 1b). The VDP is defined as the area under the specific water capacity curve and above the dotted baseline (Fig. 1b). The dotted baseline represents rate of water loss because of aggregate shrinkage rather than pore emptying (Collis-George and Figueroa, 1984). The ratio of fast/slow structural indices, termed stability ratio, is used to compare stability of aggregates on a relative scale of zero to one.



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Fig. 1. Schematic presentation of (a) moisture release, and (b) specific water capacity curves for fast and slow wetting. The dashed line in the specific water capacity curve represents soil shrinkage line for slow wetting.

 
Procedure
Fifteen grams of 0.5- to 1.0-mm air-dried aggregates were placed in a 60-mm i.d. funnel with a fritted disc to form an ~5-mm thick bed. The fritted disk had a nominal maximum pore size of 20 to 40 µm. Saturation of the fritted disc was ensured prior to placing aggregates in the funnel. The funnel was connected from its bottom via a tubing to a peristaltic pump, which was then used to wet the aggregates in the funnel either fast (100 mm h-1) or slowly (2 mm h-1). At the end of wetting, aggregates were covered by standing water to ensure saturation. Distilled water (electrical conductivity of 0.004 mS cm-1) was used for wetting the aggregates in the funnel.

A MC curve, at a matric potential range of 0 to -5.0 J kg-1, was obtained using a hanging water column, whereby height of the meniscus in the pipette was decreased in increments of 0.1 to 0.2 J kg-1 thereby increasing the suction applied. Volume of water that drained from the aggregates at each matric potential was recorded after a 2 min of equilibrium period and corresponding water content of the aggregates was calculated. Preliminary studies showed that under our experimental conditions, no additional change in volume of drainage was noted at equilibrium time >2 min. Each treatment was duplicated. Coefficient of variation between replicates of water content ({theta}) was <6%.

Data Analysis
To accurately calculate VDP and modal suction, modeling of MC curves was carried out with the following seven-parameter modified van Genuchten model (Pierson and Mulla, 1989):

[1]
where {theta}s and {theta}r are pseudo saturated and residual gravimetric water contents, respectively; {alpha} and n control location and steepness of the S-shape inflection of the MC curve, respectively; and A, B, and C are the quadratic terms added by Pierson and Mulla (1989) to improve fitting of the model to the MC curve. The term pseudo was added to saturated and residual water contents owing to modification of the original van Genuchten model (van Genuchten, 1980). Values of {theta}s and {theta}r can no longer be physically interpreted in terms of saturated and residual water contents (Pierson and Mulla, 1989).

Specific water capacity curve (d{theta}/d{psi}), needed for obtaining the value of modal suction, was computed by differentiating Eq. [1] with respect to matric potential, and had the explicit form:

[2]

The VDP, that is, the area under the specific water capacity curve and above the soil shrinkage line (Fig. 1b), was calculated by subtracting the terms for pore shrinkage (2A{psi} + B) from Eq. [2], and analytically integrating the reminder of that equation.

Seal Formation and Runoff Data
Mamedov et al. (2001) compared the effects of rate of wetting on sealing for the six soils, each at three different ESP levels, as used in the current study, using a drip-type laboratory rainfall simulator. In their study, the samples in the rainfall simulator were wetted from the bottom, at different rates (2, 8, or 64 mm h-1) using a peristaltic pump, prior to being exposed to 60 mm of distilled water rain. During each storm, water infiltrating through the soil was collected intermittently (every 4 min), in graduated cylinders placed underneath a special outlet at the bottom of the tray, and its volume was recorded. Runoff was collected continuously throughout the simulated rainfall event. Seal formation was quantitatively characterized by: (i) the measured near steady state infiltration rate at the end of the storm, termed final infiltration rate, and (ii) total volume of runoff obtained from the storm.


    RESULTS AND DISCUSSION
 TOP
 NOTES
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 SUMMARY AND CONCLUSIONS
 REFERENCES
 
Aggregate Stability Indices and Soil Properties
Results for the different indices obtained from the analysis of the MC curves for fast and slow wetting treatments of 12 soils with low ESP, are presented in Table 2. For all soils, higher mean modal suction (representing a decrease in size of the most frequent pore size), and lower VDP were obtained for fast wetting than for slow wetting. The soils demonstrated a wide range of stability ratio, and hence of aggregate stability, from 0.282 for Basra soil to 0.794 for Eilon soil (Table 2). Stability ratio range of our soils was narrower than that obtained by Levy and Miller (1997) for soils from southeastern USA (0.399–0.95). Further more, comparison of individual soils having similar clay content clearly showed that soils from the southeastern USA had higher stability ratios. For instance, Dyke soil from the USA containing 38% clay had a stability ratio of 0.950 (Levy and Miller, 1997), while Hafetz Haim soil from Israel that contained 38.1% clay had a stability ratio of only 0.659. The greater aggregate stability of the predominantly kaolinitic soils from southeastern USA compared with smectitic soils from Israel was in agreement with the study of Stern et al. (1991). These researchers investigated the effect of clay mineralogy on soil susceptibility to seal formation. It was found that kaolinitic soils maintained significantly higher infiltration rates than soils containing smectites (Stern et al., 1991).


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Table 2. Results of the analysis of the moisture characteristic (MC) curves using the modified seven-parameter van Genuchten model (Pierson and Mulla, 1989), from samples with low exchangeable Na percentage (ESP) values (0.9–2.5).

 
A second index that can be used for estimating aggregate stability, ratio of VDP of fast to slow wetting (herein referred to as VDP ratio), was higher than the respective stability ratio. This phenomenon was also noted by Levy and Miller (1997) for the USA soils. It was concluded that breakdown of aggregates from the soils studied (both USA and Israel) had a stronger effect on pore-size distribution than on VDP.

Changes in VDP ratio and stability ratio of soils with low ESP (<=2.5) as a function of organic matter content are presented in Fig. 2a . Regression analyses of the two aggregate stability indices vs. organic matter content using different functions (linear, logarithmic, hyperbolic), yielded low coefficients of determination (R2 < 0.5). Similarly, Coughlan and Loch (1984) and Goldberg et al. (1988), who studied aggregate stability of samples from semi-arid and arid-zone soils, also reported low coefficient of determinations between their aggregate stability data and organic matter content. Conversely, other studies (e.g., Kemper and Koch, 1966; Le Bissonnais and Arrouays, 1997) reported of a strong link between aggregate stability and soil organic matter. Note that in the latter two studies organic matter content in many of the soils studied was >3%. Absence of a strong relation between aggregate stability and organic matter content found in our study and those of Coughlan and Loch (1984) and Goldberg et al. (1988) could be ascribed to the fact that in semi-arid and arid soils, organic matter content is low, usually <2%. Apparently, under conditions where the range of organic matter content in the soils is limited, other soil properties (e.g., clay content, Fe oxides) may have a greater impact on aggregate stability, and hence, overshadow effects of organic matter.



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Fig. 2. Relation between volume of drainable pores (VDP) ratio or stability ratio and (a) organic matter content, and (b) clay content for the 12 samples with low ESP.

 
Unlike the case with organic matter content, the relationship between our aggregate stability and clay content was characterized by a high and significant coefficient of determination (Fig. 2b). Because stability ratio correlated with clay content better than VDP ratio, the following discussion will focus only on the stability ratio. Relationship between stability ratio and clay content was described by a hyperbolic type function; a relation of similar nature was reported by Kemper and Koch (1966) who used the wet-sieving technique. Conversely, Levy and Miller (1997) using the HEMC method, reported a linear relation between aggregate stability and clay content for humid soils from southeastern USA.

The strong links between aggregate stability and clay content and organic matter are well documented (e.g., a recent review of Kay and Angers, 1999). However, the variations in reported relations between aggregate stability and clay or organic matter content suggested that aggregate stability cannot be inferred solely from clay content or organic matter content. Thus, assessment of aggregate stability can be obtained only from the knowledge of a range of soil properties (clay, organic matter, and oxides content) which are all linked by their representation of binding processes in the soil.

Stability ratios for samples with medium (3.7–6.6) and high (7.5–10.2) ESP levels were calculated as the ratio of structural index obtained from fast wetting to structural index obtained from slow wetting for a given ESP of the same soil. The results showed that the soils studied can be divided into two groups. The first group included the loamy sand and loam soils (8 and 22.5% clay), where stability ratio was similar for all ESP levels (Fig. 3) . Furthermore, stability ratio in the loamy sand and loam was significantly lower than that in the other soils (Table 2 and Fig. 3). These observation may suggest that in soils with unstable aggregates, conditions favoring clay dispersion, for example, increased sodicity, are of minor importance in determining aggregate stability. In the second group that included the sandy clay and the three clay soils (clay content >=38%), stability ratios for high ESP were significantly lower than those for the other ESP levels (Fig. 3). Stability ratios for medium ESP were similar to or lower than those for low ESP (0.9–25). However, a significant negative linear relation was noted between stability ratio of the clay soils and ESP (Fig. 4) . Decrease in aggregate stability with increase in sodicity in the second group soils was attributed to presence of substantial amounts of clay in these soils. Increase in sodicity makes soil clay more dispersive (Oster et al., 1980), consequently at higher sodicity levels, soil clay became less effective as a cementing agent in aggregates.



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Fig. 3. Stability ratio as a function of exchangeable Na percentage (ESP) for the six soils having samples with three different sodicity levels. The soils are represented by their clay content. Bars indicate one standard deviation.

 


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Fig. 4. Relation between stability ratio and exchangeable Na percentage (ESP) for the soils with clay content >=38%.

 
Our observations were not comparable with previously published data. Shainberg et al. (1992), reported that increasing sodicity to ESP ~5 and ESP >10 caused no reduction and a significant decrease, respectively, in aggregate stability of loam as well as sandy clay soils. Conversely, Coughlan and Loch (1984) who studied 12 clay soils from Australia (0.4 < ESP < 26) and Goldberg et al. (1988) who studied 34 arid zone soils (0.2 < ESP < 19.6) did not observe any correlation between aggregate stability and ESP. The inconsistency in reported effects of sodicity on aggregate stability may stem from the difference in methods used in determining aggregate stability in the various studies; HEMC (current study), drop technique (Shainberg et al., 1992), immersion wetting (Coughlan and Loch, 1984), and wet sieving (Goldberg et al., 1988). The different methods use different forces in destroying the aggregates, which may emphasis different soil properties that affect aggregate stability.

Aggregate Stability, Seal Formation, and Runoff
Correlation analyses between stability ratios, final infiltration rate, and runoff data reported by Mamedov et al. (2001) for the same soils used in our study (Table 3) are given in Table 4. It is evident that no correlation existed between final infiltration rate or runoff obtained after fast wetting of the soil, and stability ratio (Table 4). This observation held true for each individual ESP level as well as for the case where data from the various ESP levels were pooled together. Unlike fast wetting, when slow wetting was used significant correlation coefficients (0.65 < R < 0.76) were noted between stability ratio, infiltration, and runoff data from the various ESP levels pooled together (Table 4). Moreover, for ESP levels of <2.5 and ~5, the aforementioned correlation analysis resulted in higher correlation coefficients (0.70 < R < 0.85). On the other hand, correlation coefficients for ESP 10 data were low (Table 4).


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Table 3. Final infiltration rate (FIR) and runoff obtained from Mamedov et al. (2001).

 

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Table 4. Correlation coefficients between stability ratio and final infiltration rate (FIR) and runoff for fast (64 mm h-1) and slow (2 mm h-1) wetting rate (WR).

 
Surface aggregate disintegration in soils exposed to rain increases with the increase in rate of wetting (Loch, 1994) and kinetic energy of raindrops (Moldenhauer and Kemper, 1969). This disintegration of aggregates together with physicochemical clay dispersion determine soil susceptibility to seal formation and related phenomena (Shainberg and Levy 1992 and references cited therein). Thus results of our correlation analyses indicated the following:
  1. When aggregate disintegration resulted from both mechanisms (i.e., fast wetting and rain of high kinetic energy), correlation between infiltration, runoff data, and the aggregate stability data was poor;
  2. When aggregate disintegration resulted only from raindrop impact, correlation between infiltration and runoff data, and aggregate stability data depended on the contribution of physicochemical clay dispersion to seal formation. For low and moderate ESP levels (<6) high correlation was noted, while for high ESP (>10), correlation was poor.

These results of the correlation analyses indicated that aggregate stability as determined by the HEMC method was not always effective in predicting soil susceptibility to seal formation. The HEMC aggregate stability indices performed better under the conditions where (i) only raindrop impact was responsible for aggregate disintegration in the seal formation process, and (ii) contribution of physicochemical clay dispersion to seal development was mild (i.e., low-to-moderate levels of sodicity).

These finding were in partial disagreement with our initial hypothesis that determining aggregate stability in a method in which the destructive force used to break aggregates was a controlled wetting process (e.g., HEMC method) will correlate well with seal formation indices. Levy and Miller (1997) reported that aggregate stability indices obtained with the HEMC method correlated well with seal formation indices for southeastern U.S. soils. Our study showed that aggregate stability of the predominantly smectitic Israeli soils was lower than that of the predominantly kaolinitic southeastern U.S. soils. Furthermore, Stern et al. (1991) showed that smectitic soils were more sensitive to seal formation than kaolinitic soils. It is postulated that the weaker stability of the smectitic Israeli soils compared with kaolinitic soils, could explain the inability of the HEMC aggregate stability indices to accurately predict soil sensitivity to seal formation under the aforementioned specific conditions.


    SUMMARY AND CONCLUSIONS
 TOP
 NOTES
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 SUMMARY AND CONCLUSIONS
 REFERENCES
 
Aggregates of semi-arid predominantly smectitic Israeli soils showed lower stability than that reported for aggregates from predominantly kaolinitic southeastern U.S. soils, with both studies using the HEMC method. Our aggregate stability data correlated well with clay content but not with organic matter content. The latter was ascribed to the fact that in semi-arid soils, organic matter content and range is low. In addition, aggregate stability of clay soils was negatively affected by soil sodicity mainly at high ESP levels (>=10).

Aggregate stability determined with the HEMC method could serve as a predictor for soil susceptibility for seal formation only under the following specific conditions: (i) aggregate disintegration in the course of seal formation was mainly due to impact energy of rain drops, and (ii) the contribution of physicochemical clay dispersion to the sealing process was not severe (ESP < 6).

For practical purposes, it is expected that in environments where aggregate wetting is slow (e.g., rainstorms are of low intensity [5–10 mm h-1] or aggregates have high water content), and soil ESP does not exceed 6, use of the HEMC method for determining aggregate stability will yield stability indices that can satisfactorily predict soil susceptibility to seal formation, and runoff generation.


    ACKNOWLEDGMENTS
 
This research was supported in part by a grant from the Ministry of Science, Culture and Sport, Israel, and the Bundesministerium fuer bildung and forschung (BMBF).


    NOTES
 TOP
 NOTES
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 SUMMARY AND CONCLUSIONS
 REFERENCES
 
Contributions from the Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet-Dagan 50-250, Israel. No. 610/2001 series.

Received for publication May 2, 2001.


    REFERENCES
 TOP
 NOTES
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 SUMMARY AND CONCLUSIONS
 REFERENCES
 




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