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Soil Science Society of America Journal 64:2162-2168 (2000)
© 2000 Soil Science Society of America

DIVISION S-8-NUTRIENT MANAGEMENT & SOIL & PLANT ANALYSIS

Association of Cadmium in Durum Wheat Grain with Soil Chloride and Chelate-Extractable Soil Cadmium

W.A. Norvella, J. Wub, D.G. Hopkinsc and R.M. Welcha

a U.S. Plant, Soil & Nutrition Lab., USDA-ARS, Tower Rd., Ithaca, NY 14853 USA
b Dep. Crop and Soil Sciences, Cornell Univ., Ithaca, NY 14853 USA
c Dep. Soil Science, ND State Univ., Fargo, ND 58105 USA

wan1{at}cornell.edu


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 Materials and methods
 NOTES
 Results
 Discussion
 REFERENCES
 
Cadmium uptake by food crops needs to be understood in order to limit Cd accumulation in the food chain. Cadmium is a potentially toxic heavy metal with no known benefit to humans, and plant foods are the predominant sources of Cd in human diets. In this study, 124 paired samples of soil and grain were collected from a field of durum wheat [Triticum turgidum L. subsp. durum (Desf.) Husn.] cultivar Munich in northeastern North Dakota. This field on the Langdon Research Extension Center was selected for study because it provided a range in soil pH and salinity. Cadmium in the durum grain ranged widely from 0.025 to 0.359 mg kg-1. Accumulation of Cd in grain was strongly and positively associated with soil salinity as represented by soluble chloride, soluble sulfate, or extractable Na, and also with chelate-extractable Cd. Relationships to salinity were curvilinear. Concentrations of Cd in grain were not closely related to soil pH. The relationship of Cd in grain to the logarithm of water-extractable soil Cl- (Clw) was especially close. A predictive model based on chelate-extractable Cd and logCl-w in soil accounted for 66% of the variability of Cd in grain. Based on these results, and published work for other crops, we believe that the accumulation of Cd in durum wheat grain is enhanced by Cl- in the soil. Although the mechanism is not clear, it is likely to involve increased solubility or availability of soil Cd resulting from the formation of chloro-complexes in soil solution.

Abbreviations: Cddtpa, Nadtpa, and Zndtpa, DTPA-extractable Cd, Na, and Zn • Cdg, concentration of Cd in grain • CEC, cation-exchange capacity • Clw and SO4w, Cl- and SO2-4 extracted by water • CV, coefficient of variation • DTPA, diethylenetriaminepentaacetic acid • IC, inorganic C • OC, organic C • SO4–S, sulfate expressed as S • TC, total C


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 Materials and methods
 NOTES
 Results
 Discussion
 REFERENCES
 
CADMIUM UPTAKE BY FOOD crops is a concern because Cd is a heavy metal that is potentially toxic when consumed. Dietary ingestion is the primary route of entry of Cd into the human body for nonsmokers, and plant foods are the predominant sources of Cd in human diets. In the absence of gross contamination, the major hazard from dietary ingestion of Cd by humans is kidney dysfunction (Wagner, 1993; Nordberg, 1996). Several national or international organizations regulate, or are considering regulating, the concentration of Cd in edible crops because of the potential hazard to human health (Council of Europe, 1994; Codex Alimentarius Commission, 1999).

Crop plants differ in their tendency to accumulate Cd (Wolnik et al., 1983; Wagner, 1993; Chaney et al., 1996), but many crops accumulate Cd if it is available in the soil. Among crops that can accumulate Cd to levels that cause concern are leafy vegetables such as lettuce (Lactuca sativa L.) and swiss chard (Beta vulgaris L.), tuber crops such as potato (Solanum tuberosum L.), and seed or grain crops such as sunflower (Helianthus annuus L.), rice (Oryza sativa L.), and wheat (Triticum spp.). For reasons that are not well understood, many durum wheat cultivars accumulate two to three times as much Cd in grain as do most bread wheats (T. aestivum L.) (Chaney et al., 1996; Li et al., 1997).

Regulatory limits for Cd in plant foods have been discussed at Codex Alimentarius Commission meetings for several years. No final limits have been adopted for seed and grain, but the most recent Codex Commission recommended that 0.1 mg kg-1 serve as a guideline level for Cd in cereal grains, and proposed that 0.2 mg kg-1 be the maximum level (Codex Alimentarius Commission, 1999). While the need for such limits can be debated, it is clear that their adoption would restrict the acceptability and marketability of some wheat grain, especially grain from durum wheat grown in soils that are naturally rich in trace elements. Such limits would pose an agronomic challenge and an economic concern to several nations that produce and export durum wheat, including the USA and Canada.

Soil is the principal source of Cd accumulated by plants. The availability of Cd in soil is related to the soil characteristics that affect the availability of most trace metals. These characteristics include the concentration and form of metal in the soil, pH, organic matter content, clay content, interactions with other elements, and fertilizer practices. In addition, there appears to be an enhancement of Cd uptake in some crops by elevated salinity or chloride (Bingham et al., 1984; Li et al., 1994; McLaughlin et al., 1994, 1997; Smolders and McLaughlin, 1996; Weggler–Beaton et al., 2000). The results of these studies suggest that the enhancement of Cd uptake in the presence of salinity or Cl- may be a general phenomenon that occurs in many crops, including the major cereal crops.

This study was undertaken to discover if the Cd concentration in grain of a commonly grown commercial cultivar of durum wheat was related to soil characteristics at a location with known variability in salinity and expected variation in Cl-. The work was conducted in northern North Dakota, where most of the U.S.-grown durum wheat is produced. Many of the soils in this region are relatively rich in trace elements, having developed on glacial tills containing major amounts of marine shale (Moran et al., 1976).


    Materials and methods
 TOP
 ABSTRACT
 INTRODUCTION
 Materials and methods
 NOTES
 Results
 Discussion
 REFERENCES
 
Samples of soil and grain of the durum wheat cultivar Munich were collected from a field located at the Langdon Research & Extension Center of North Dakota State University (NDSU), Cavalier County, ND. The part of the field sampled was approximately 30 by 180 m in size, with the long dimension running east to west. This field was selected, in part, because the soils provided a range in pH and salinity. In addition, Cl- was expected to be one of the major soluble anions. Variations in plant height were evident, as were localized bare areas showing visible efflorescence of dried salts at the soil surface.

Three soils are found within the sampled area (M.D. Sweeney, unpublished data, 1989. Detailed soil map of Langdon Research Center (1:3960). Dep. Soil Science, NDSU, Fargo). These are the Miranda (fine, smectitic, frigid Leptic Natrustolls); Hamerly (fine-loamy, mixed, superactive, frigid Aeric Calciaquolls); and Svea (fine-loamy, mixed, superactive, frigid Pachic Hapludolls). These soils were developed on glacial till (Simmons and Moos, 1990). The Miranda is a somewhat poorly drained, very slowly permeable, alkali soil on typically flat sites. The Hamerly is a somewhat poorly drained, highly calcareous soil located on sites with a slope of ~1%. These two soils occupy the majority of the sampled area, but their distribution is complex as a result of microtopographic variation. Groundwater depth is shallow, and in the spring the Miranda and Hamerly soils are saturated to the surface. The Svea is present only at the eastern end of the sampled area. This soil is found on well-drained or moderately well-drained sites with a slope of about 3% or more.

Sampling was conducted on 14 Aug. 1997, when the durum wheat was close to maturity. Paired samples of durum grain and soil were collected at 124 sites distributed throughout the area. Each sample pair consisted of about seven heads of wheat and 1 kg of soil taken from the 0 to 15-cm depth beneath, or immediately adjacent to, the sampled wheat plants. Sample sites were distributed at intervals from about 1 to 10 m along five east–west traverses across the area.

Grain samples were physiologically mature at harvest, but some heads were not fully ripened, so all were oven dried at about 50°C to prevent spoilage. Dry heads were threshed by hand. Subsamples of 1 g whole grain were digested in Pyrex tubes (Corning, Corning, NY) in concentrated HNO3/HClO4 acids and then dissolved in 10 mL of 0.75 M HNO3 for analysis as described below.1

Soil samples were air dried, crushed, mixed, and passed through a 2-mm stainless steel sieve. Air-dried soil was used for all analyses, and results were expressed on an air-dry soil basis. (Soil moisture, measured on a group of representative samples, ranged only from about 25 to 35 g kg-1.) The soil pH in water, pHw(1:1), was measured by glass electrode in settled suspensions, after ~30 min of intermittent stirring. Soil cation-exchange capacity (CEC) was determined by the sodium acetate (pH 8.2) method of Chapman (1965). Chelate-extractable elements were measured using the diethylenetriaminepentaacetic acid (DTPA) method of Lindsay and Norvell (1978), except that a 1:3 soil/solution ratio (g mL-1) was used to increase recovery of filtrate and decrease filtration time. After shaking for 2 h at 200 cycles per min on a horizontally-reciprocating shaker, the soil suspension was filtered through Whatman no. 42 cellulosic filter paper (Whatman, Clifton, NJ). The clear filtrate was collected and diluted 1:4 with 0.75 M HNO3 for analysis as described below. (Soils were analyzed also by digestion with HNO3/HClO4 to release elements not bound in acid-resistant silicate minerals, but these results will not be discussed here because their relationship to grain composition was poorer than for DTPA-extractable or water-soluble elements).

Chloride (Clw) and sulfate (SO4w) were extracted with water (0.25 g soil mL-1) by shaking at 200 cycles per min for one h. Suspensions were filtered through Whatman no. 42 cellulosic filter papers (Whatman) that had previously been rinsed with high-purity (18 M{Omega}) water to remove soluble contaminants, principally Cl-, and then dried before use. Clear filtrates were refrigerated and then analyzed by ion chromatography using an AS-11 anion column (DIONEX Ion Chromatograph, model DX300, Dionex Corp., Sunnyvale, CA) with isocratic elution by dilute carbonate/bicarbonate.

Acid digests of grain or soil samples and acidified DTPA-extracts were analyzed for Cd, Zn, Na, and other elements by inductively coupled, argon-plasma-emission spectrometry on a Thermo Jarrell-Ash model "Trace Analyzer" (TJA Solutions, Franklin, MA) with axial plasma. Generalized shifts in background emission were determined at off-peak wave length positions, and deducted from simultaneous measurements of intensities at on-peak wavelengths for each element. Sample and standard solution matrices were matched. Replicate samples were included routinely, and standard samples of soil and grain were analyzed occasionally. Recovery of method-of-addition increases in concentrations were between 95 and 105%, except for Na in DTPA extracts that gave recoveries in the range of 90 to 110%. Analyses on five occasions of National Institute for Standards and Testing wheat sample 1567a yielded Cd concentrations of 0.025 (±0.001) mg kg-1 in comparison to the certified value of 0.026 (±0.002) mg kg-1.

Soil total carbon (TC) and inorganic carbon (IC) were determined by the Soil and Water Environmental Chemistry Laboratory, Dep. Soil Science, NDSU. The TC was measured with a SKALAR CA-100 TOC Analyzer (Skalar Analytical B.V., DE Breda, The Netherlands), following standard methods (American Public Health Association, 1995). The IC was determined similarly by evolving CO2 with acid treatment. Organic carbon (OC) was determined as the difference between TC and IC.

Twenty-three samples of durum grain and soil were analyzed in duplicate to determine reproducibility. The variance between duplicates accounted for a negligible proportion of the total sample variance, and the coefficient of variation (CV) among duplicates was <5% for grain composition and DTPA-extractable elements. The percentage of total variance and the CV (%) for total and organic carbon analyses were <8%. Because most samples contained little or no IC, the variability among replicates was not established.

Statistical analyses and modeling were carried out with SAS using UNIVARIATE, CORR, REG, and NLIN procedures (SAS Institute Inc., 1988; Freund and Littell, 1991).


    Results
 TOP
 ABSTRACT
 INTRODUCTION
 Materials and methods
 NOTES
 Results
 Discussion
 REFERENCES
 
Cadmium concentrations in durum wheat grain (Cdg) varied almost 15-fold from 0.025 to 0.359 mg kg-1 with a mean concentration of 0.182 mg kg-1 (Table 1) . The distribution of Cdg was approximately normal, and is compared in Fig. 1 to the currently proposed limits for Cd in grain. Other elements in grain were generally less variable, ranging mostly threefold to fivefold in concentration (data not presented).


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Table 1 Summary statistics for grain cadmium and soil characteristics (n = 124)

 


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Fig. 1 Distribution of Cd concentration in 124 samples of durum grain. The proposed guideline level and maximum level for Cd in grain (Codex Alimentarius Commission, 1999) are shown for comparison

 
A summary of selected soil characteristics in the sampled area is shown also in Table 1. The variability in DTPA-extractable Cd (Cddtpa) was relatively small compared with the range found in Cdg, (i.e., Cddtpa varied less than threefold, with a mean of 0.109 mg kg-1, and a standard deviation of 0.019 mg kg-1). Concentrations of the soluble ions Clw and SO4w, and Nadtpa (DTPA-extractable Na, which should be equivalent to soluble plus exchangeable Na) varied greatly among soil samples. The most variable characteristic was Clw, with a standard deviation (244 mg kg-1) that was considerably larger than the mean (189 mg kg-1). Samples with high concentrations of Nadtpa, Clw, and SO4w generally came from areas of the field where growth of wheat was visibly reduced and where a whitish efflorescence of dried salts was seen occasionally on the soil surface. The sampled area contained a moderate range in pH, ranging from the slightly acidic pH of 5.95 to the alkaline pH of 8.07. Concentrations of OC and CEC were the least variable among the soil characteristics. Almost all TC was present as OC; little or no IC was present in the samples.

Grain Cd was closely correlated with Cddtpa, Zndtpa (DTPA-extractable Zn), and the three characteristics related to soil salinity, Clw, SO4w, and Nadtpa (Table 2) . Grain Cd was significantly, but less closely, correlated to CEC and OC. The correlation with soil pH was relatively low. Correlations among the soil characteristics (Table 2) show that Cddtpa was very closely correlated with Zndtpa. Each of these concentrations was negatively correlated to pHw, and Zndtpa was more closely correlated to pHw than to any other variable. The three soil characteristics related to salinity were themselves closely related, with the correlation between Nadtpa and SO4w being especially close.


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Table 2 Pearson correlation coefficients among grain and soil characteristics (n = 124)

 
Although Cdg was well correlated with Cddtpa and the three measures of soil salinity, inspection of the data shows that only the relationship with Cddtpa could be considered reasonably linear (Fig. 2) , while the relationships to Clw, SO4w, or Nadtpa were obviously curvilinear (Fig. 3) . The latter relationships were much better described by nonlinear functions, such as logarithmic (a + blogX), fractional power (a + bX1/n), or flexible growth {a + b [1 - exp(cX)]} models. The improvement was particularly pronounced for Clw, for which a logarithmic transformation increased the coefficient of determination, R2, from 0.259 to 0.628. Predictions of Cdg from Cl-w using the flexible growth model were almost as good, although this expression has the disadvantage of requiring three flexible parameters rather than two. For SO4w also, the best fit was obtained with a logarithmic transform, increasing R2 from 0.358 to 0.530. Here too, a flexible growth model was almost as good. For Nadtpa, the flexible growth model increased R2 from 0.386 to 0.617, while the logarithmic model was almost as good. For each of the salinity-related characteristics, the best model was used to plot the curvilinear relationships fitted to the data in Fig. 3. Fractional exponent models did not fit the data as well, and the best fits were obtained for small values of 1/n < 0.2, which are considerably lower than the value of 0.5 used by McLaughlin et al. (1994) to fit their data for Cd concentration in potato and soil Cl-.



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Fig. 2 Relationship between Cd concentrations in durum grain and DTPA-extractable concentrations of Cd in soil. The solid line represents the indicated linear regression equation

 


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Fig. 3 Cadmium concentrations in durum grain as a function of three soil characteristics: water-extractable Cl-, water-extractable SO2-4, and DTPA-extractable Na. Solid lines represent the indicated regression equations

 
Multiple linear regression and stepwise multiple linear regression were used to explore the potential for improving predictions of Cdg with a multivariable model. All measured soil characteristics were considered, and log transformed concentrations were included for those soil characteristics where the relation to Cdg appeared to be curvilinear. Multiple linear regression, with assigned combinations of variables, demonstrated that the most successful models were relatively simple, and always included Cddtpa and a log transformed salinity characteristic. No other soil characteristics, including pH, significantly improved the prediction of Cdg. The best of these relationships, shown in Eq. [1], included Cddtpa and logClw, and explained 66% of the variability in Cdg.

(1)
where Cdg is in mg kg-1 grain, Cddtpa and Clw are in mg kg-1 soil. Equation [1] was obtained also by stepwise multiple linear regression using a significance level of P < 0.05 as the criteria for retention of variables and intercept. The relationship described by Eq. [1] is depicted in Fig. 4 , which shows clearly the marked response of Cdg to relatively low concentrations of Clw (i.e., in the range of 1–200 mg kg-1 soil).



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Fig. 4 Three dimensional response surface for Cd in grain (Cdg) as a function of DTPA-extractable soil Cd (Cddtpa), and water-extractable soil Cl- (Clw). The surface is defined by Eq. [1]: Cdg = -0.06 + 1.07Cddtpa + 0.0686logClw

 
Relationships similar to Eq. [1], but using logSO4w or logNadtpa, were almost as successful (R2 of 0.601 or 0.628, respectively). However, as discussed below, we believe that the successful predictions of Cdg based on SO4w and Nadtpa were due largely to their association with Clw, rather than to direct causality.

The data set used for these regressions included a number of samples that appeared to be outliers in virtually all relationships tested. Excluding a group of 18 samples for which the absolute values of the Studentized residuals (Ott, 1993) were >1.96 increased the R2 values substantially, as would be expected, but changed the regression coefficients relatively little, e.g., for Clw

(2)

Assuming that Cl- enhances Cd accumulation at least in part by forming complexes with soil Cd, it would be reasonable to expect that a multiplicative term involving Cddtpa and Clw might be especially closely related to Cdg. However, regressions including multiplicative terms involving Cddtpa, Clw, or their logarithms provided little improvement over relationships with Clw alone, and none were as successful as the simpler additive model (Eq. [1] or Eq. [2]).

Models based on the flexible growth model were also fitted with multiple nonlinear regression. These relationships were often as successful as those based on the logarithmic model, but were not pursued because they required an additional fitted parameter, convergence on stable parameter values was difficult to achieve, and the fit to the data was similar.

The results presented above include several correlations and regressions with reasonably high R2 values. Although these empirical relationships demonstrate a close association amongst the variables, it is important to recognize that correlation cannot prove causation. It is always possible that some unmeasured factor is responsible for an observed effect, and that this unmeasured factor is correlated simultaneously with measured variables. Nor should the functional form of these empirical models be viewed as especially important, because there is more than enough scatter in the data to accommodate a satisfactory fit by a number of flexible curvilinear models.


    Discussion
 TOP
 ABSTRACT
 INTRODUCTION
 Materials and methods
 NOTES
 Results
 Discussion
 REFERENCES
 
The wide range in Cd concentrations (0.025–0.359 mg kg-1) in durum grain from the relatively small area of this study includes most of the range for durum reported by others (Wolnik et al., 1983; Chaney et al., 1996; Clarke et al., 1997; Garrett et al., 1998). The wide range in our data encompasses also the proposed concentration limits for Cd in durum wheat grain. In fact, 80% of the grain collected in this study would exceed the guideline value (0.1 mg kg-1), and almost half would exceed the maximum level (0.2 mg kg-1) that is being considered currently for Cd in wheat and other small grains. Thus, the concern that such limits could restrict markets for durum wheat appears justified.

In our study area, the salinity-related characteristics Clw, SO4w, and Nadtpa were well correlated with Cdg in the durum wheat cultivar Munich. Our data do not permit the relationship of Cdg to Clw, SO4w, or Nadtpa to be evaluated independently, because these soil characteristics were themselves so highly correlated. However, predictive relationships for Cdg based on logCl, or logCl and Cddtpa were the most successful, and stepwise regression involving all three salinity-related variables suggests that the correlations between Cdg and SO4w, or Nadtpa, were probably the result of multi-colinearity with Clw (Freund and Littell, 1991). More importantly, our results in combination with other information discussed below, lead us to conclude that elevated concentrations of Cl- in soil were primarily responsible for the increased concentrations of Cd in grain.

Chloride is well known for forming moderately stable complexes with ionic Cd2+, that is CdCl+ and CdCl02 (Smith and Martell, 1976; Lindsay, 1979). Simple stability calculations (e.g., Hahne and Kroontje, 1973; or Lindsay, 1979), indicate that formation of chloro-complexes of Cd should become significant when Cl- concentrations rise above approximately 10 mM, a range easily reached in the soil solution of salt-affected soils. Formation of complexes with Cl- tends to shift Cd from the solid to the solution phase, thereby enhancing solubility and mobility (Doner, 1978; Bingham et al., 1984; McLaughlin et al., 1997; Smolders et al., 1998). In addition to increasing transport to roots, these chloro-complexes of Cd may also be taken up directly by plant roots, but through mechanisms different than those responsible for uptake of unassociated Cd2+ (Smolders et al., 1998). Smolders and McLaughlin (1996) demonstrated that increasing Cl- in solution from 0.01 mM Cl- to 120 mM Cl- linearly increased the Cd concentration in both root and shoot of swiss chard in a solution culture system in which Cd2+ activities were well buffered by exchange resins. They noted that enhancement of Cd transport by Cl- complexation could be important within the root apoplast as well as in soils. Enhanced uptake by swiss chard and bread wheat has been demonstrated also in hydroponics or potted soil culture (e.g., Bingham et al., 1984; Smolders and McLaughlin, 1996; Weggler-Beaton et al., 2000). In the field, McLaughlin et al. (1994, 1997) showed that Cd concentrations in potato tubers were better related to concentrations of Cl- in soil solution than to activities of ionic Cd2+. Also in the field, Li et al. (1994) observed a weak but significant correlation between Cd in sunflower kernels and Cl- concentrations in subsoils. These studies suggest that the enhancement of Cd uptake in the presence of Cl- occurs in many crops, although the mechanisms are not yet fully understood.

Sulfate, too, forms a complex with Cd2+ (Lindsay, 1979), although it is of somewhat lower stability than those formed with Cl-. Evidence from studies of the effect of sulfate on Cd availability to plants suggests that this anion does not enhance Cd uptake or availability. For example, Bingham et al. (1986) found that Cd uptake by swiss chard was not increased by adding Na2SO4 to soil, which contrasted with their results for NaCl. Similarly, Li et al. (1994) reported that Cl- was much more closely related than SO2-4 to Cd accumulation in kernels of soil-grown sunflower. Very recently, McLaughlin et al. (1998) found only a small effect of SO2-4 on increasing Cd uptake by Swiss chard grown in soil, much less than that found for Cl- by Smolders et al. (1998).

Soil cations compete with one another for surface exchange sites, and there is the possibility that higher levels of salts contribute to Cd availability by displacing it from exchange sites. However, monovalent cations such as Na are relatively ineffective at displacing divalent cations such as Cd, even at relatively high concentrations, and Na seems unlikely to play any significant role in increasing Cd uptake (see also the discussion of this topic by Smolders et al., 1998). For these reasons, we are confident that the correlation between Cdg and Nadtpa does not imply a causal relationship, but is instead the indirect result of the correlation between Nadtpa and Clw.

Cadmium uptake by wheat and other crops has been reported to decrease as a result of Zn fertilization (Oliver et al., 1994; Grant et al., 1999). Our data do not suggest a similarly negative relationship between Cdg and the availability of soil Zn as measured by Zndtpa. This, however, is not surprising because the concentrations of Zndtpa were above levels where Zn-deficiency stress in crops would be expected. The absence of any Zn stress in these plants is supported also by analyses of the grain, which found concentrations of Zn to be in an adequate range (mean 26 mg kg-1, range 14-55 mg kg-1). The positive correlation noted between Cdg and Zndtpa (Table 2), was presumably an indirect result of the strong correlation between Cddtpa and Zndtpa.

The curvilinear relationship that we noted between Cdg and Clw in soil is qualitatively similar to that reported by McLaughlin et al. (1994, 1997) for Cd in potato tubers. The overall shape of these relationships is more important than the empirical models and quantitative coefficients used to describe them. These relationships show clearly that the rate of increase in plant Cd was greatest at relatively low Cl- levels. Responses to Cl- decreased substantially at higher concentrations, particularly in our data where Cd in grain appeared to approach a maximum. The specific mechanisms involved in shaping these responses to Cl- are not yet well understood and, especially in the field, are likely to involve several soil and crop characteristics. Nonetheless, it is important to note that the major stimulation of Cd uptake was obtained in a concentration range for soil Cl- that would not, on its own, place a soil in a particularly saline range. Thus, these results suggest that management of Cl- may need to be considered even in some non-saline soils, if Cl- levels are elevated and crop uptake of Cd is a concern.

Our results show a strong association of Cd in durum wheat grain with soluble Cl- in soil from the 0 to 15-cm depth of the root zone of the plant from which the grain was harvested. This close association, combined with research cited for other crops, suggests strongly that soluble Cl- in soils will enhance the accumulation of Cd in the grain of durum wheat, a major cereal crop.SAS Institute 1988


    NOTES
 TOP
 ABSTRACT
 INTRODUCTION
 Materials and methods
 NOTES
 Results
 Discussion
 REFERENCES
 
1 Mention of proprietary product or vendor does not imply approval or recommendation by the USDA. Back


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 Materials and methods
 NOTES
 Results
 Discussion
 REFERENCES
 




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The SCI Journals Agronomy Journal Crop Science
Vadose Zone Journal Journal of Plant Registrations
Journal of Natural Resources
and Life Sciences Education
Journal of
Environmental Quality