Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Models Analyses for Allelopathic Effects of Chicory at Equivalent Coupling of Nitrogen Supply and pH Level on F. arundinacea, T. repens and M. sativa

  • Quanzhen Wang ,

    wangquanzhen191@163.com

    Affiliation Department of Grassland Science, College of Animal Sciences and Technology, Northwest Agriculture and Forestry University, Yangling, Shaanxi Province, People's Republic of China

  • Bao Xie,

    Affiliation Department of Grassland Science, College of Animal Sciences and Technology, Northwest Agriculture and Forestry University, Yangling, Shaanxi Province, People's Republic of China

  • Chunhui Wu,

    Affiliation Department of Grassland Science, College of Animal Sciences and Technology, Northwest Agriculture and Forestry University, Yangling, Shaanxi Province, People's Republic of China

  • Guo Chen,

    Affiliation Department of Grassland Science, College of Animal Sciences and Technology, Northwest Agriculture and Forestry University, Yangling, Shaanxi Province, People's Republic of China

  • Zhengwei Wang,

    Affiliation Department of Grassland Science, College of Animal Sciences and Technology, Northwest Agriculture and Forestry University, Yangling, Shaanxi Province, People's Republic of China

  • Jian Cui,

    Affiliation Department of Plant Science, College of life Science, Northwest Agriculture and Forestry University, Yangling, Shaanxi Province, People's Republic of China

  • Tianming Hu,

    Affiliation Department of Grassland Science, College of Animal Sciences and Technology, Northwest Agriculture and Forestry University, Yangling, Shaanxi Province, People's Republic of China

  • Pawel Wiatrak

    Affiliation Clemson University/Edisto Research and Education Center, Blackville, South Carolina, United States of America

Abstract

Alllelopathic potential of chicory was investigated by evaluating its effect on seed germination, soluble sugar, malondialdehyde (MDA) and the chlorophyll content of three target plants species (Festuca arundinacea, Trifolium repens and Medicago sativa). The secretion of allelochemicals was regulated by keeping the donor plant (chicory) separate from the three target plant species and using different pH and nitrogen levels. Leachates from donor pots with different pH levels and nitrogen concentrations continuously irrigated the target pots containing the seedlings. The allelopathic effects of the chicory at equivalent coupling of nitrogen supply and pH level on the three target plants species were explored via models analyses. The results suggested a positive effect of nitrogen supply and pH level on allelochemical secretion from chicory plants. The nitrogen supply and pH level were located at a rectangular area defined by 149 to 168 mg/l nitrogen supply combining 4.95 to 7.0 pH value and point located at nitrogen supply 177 mg/l, pH 6.33 when they were in equivalent coupling effects; whereas the inhibitory effects of equivalent coupling nitrogen supply and pH level were located at rectangular area defined by 125 to 131 mg/l nitrogen supply combining 6.71 to 6.88 pH value and two points respectively located at nitrogen supply 180 mg/l with pH 6.38 and nitrogen supply 166 mg/l with pH 7.59. Aqueous extracts of chicory fleshy roots and leaves accompanied by treatment at different sand pH values and nitrogen concentrations influenced germination, seedling growth, soluble sugar, MDA and chlorophyll of F. arundinacea, T. repens and M. sativa. Additionally, we determined the phenolics contents of root and leaf aqueous extracts, which were 0.104% and 0.044% on average, respectively.

Introduction

Allelopathy was first defined by Molisch as a direct or indirect interaction among plants that causes harmful or beneficial effects through the release of chemicals [1][3]. A number of scientists have recognized the importance of allelopathy and other molecular mechanisms in crop and forage production. Hopefully, the technologies developed as a result of that recognition will significantly reduce the use of herbicides while still effectively protecting biodiversity. In turn, these advances could dramatically increase agricultural production and enhance the quality of many crop products [4][8]. Allelopathy plays an important role in agro-ecosystems and often has a great influence on the interactions of biotic communities [9], such as the vegetation community composition [10]. Such influences and interactions are mainly the result of allelochemical release from donor plants to target plants [9]. Allelochemicals are mainly a variety of secondary metabolites which include organic acids, phenols, terpenes, fatty acids and L-tryptophan [11], [12]. Researchers and farmers have both widely proven that these secondly metabolites possess insecticidal, antimicrobial and nematicidal properties. Additionally, microbes can use these secondary metabolites as carbon sources, and bacteria utilize these compounds for quorum-sensing [13]. Thus, allelochemical secretion plays a major role in the success of plants and in maintaining ecological balance.

Chicory (Cichorium intybus L.), a perennial ratoon plant of the family Compositae, originated in the Mediterranean, central Asia and northern Africa. Cultivation of this plant has been reported as early as the ancient Roman and Greek eras [14], [15]. Chicory is one of the most promising novel plant candidates among the carbohydrates with a potential for utilization in both food and non-food products [16], [17]. Four thousand years ago, chicory roots were used as a substitute for coffee in ancient Egypt [18], [19]. Chicory has a higher content of sodium, zinc, copper, iron, calcium, magnesium and sulphur compared to ryegrass and lucerne [20], [21]. Thus, chicory supplementation in a grass mixture can supply protein, minerals and vitamins to livestock [22]. Grazing chicory has shown a better growth rate than perennial ryegrass or other grasses [23], [24]. The optimal chicory growth temperature is 17–20°C with an assimilation function abating at more than 20°C. Chicory needs sufficient moisture, light and nutrients throughout the growth process. This plant is highly adaptable to acidic and alkaline soil conditions, but exorbitant acidity inhibits its growth.

The gramineae of F. arundinacea grows well in fertile, moist, fine loamy soil that is rich in organic matter with a pH value range of 4.7–8.5. This plant does not withstand high temperatures, drought or trampling. It is resistant to half cloudy conditions and is sensitive to fertilizer. It is a plant suited for warm humid subtropical to temperate regions.

The legume of T. repens can adapt to all kinds of soil types and grows well in partially acidic environments. T. repens is resistant to trimming and trampling and has a strong regeneration ability. In high shade conditions, it grows poorly. It is highly resistant to diseases, harmful insects and gas pollution.

M. sativa is a perennial, highly resistant legume forage crop that has adapted to grow in many climates and soil environments. It thrives in dry, warm and sunny climates with less rainy weather. The optimal temperature is 25 to 30°C. An annual rainfall between 400–800 mm facilitates growth, but rainfall over 1,000 mm is detrimental. This alfalfa species has adapted to growth in neutral and slightly alkaline soil, but not in strongly acidic and alkaline soils. The optimum soil pH value is around 7–8.

However, the allelopathic effect of chickory on other grasses is not well documented. Nitrogen is one of the main nutrients required by plants [25]. Inadequate nitrogen supply will limit plant growth and decrease yield potential [2], [26], [27]. Additionally, soil pH can affect nutrient absorption and plant growth [28], [29]. Therefore, we addressed three main questions in our study: 1) Is the germination and growth of F. arundinacea, T. repens and M. sativa affected by aqueous extracts of the fleshy roots and leaves of chicory grown in sands with different pH and nitrogen levels? 2) Do chicory secreting allelopathic compounds in leachates affect soluble sugar, malondialdehyde (MDA) and chlorophyll contents of the three target plant species? 3) How does the integrative effect of nitrogen and pH coupling via donor plant influence seedling growth of the three target plant species?

Results

Effects of chicory leaching on the total soluble sugar, MDA and chlorophyll content of target plants

The highest soluble sugar content was in F. arundinacea under donor condition of nitrogen and pH at 65 mg/l and 8.5 respectively; then comes that in T. repens at 65 mg/l of nitrogen and pH = 7.0 (Fig. 1 A). The content of soluble sugar in F. arundinacea was higher than that in T. repens and M. sativa (Fig. 1 A). Both the highest and the second highest MDA content were in T. repens under donor condition of 130 mg/l of nitrogen combining pH = 5.5 and 260 mg/l of nitrogen combining pH = 8.5 respectively (Fig. 1 B). Additionally, for F. arundinacea, the content of MDA was lower than the other two target plants (Fig. 1 B). The highest chlorophyll content was in F. arundinacea under donor condition of 260 mg/l of nitrogen and pH = 5.5 (Fig. 1 C). The variance analysis indicated that the experimental factors, nitrogen pH and target plants, individual effect, the pairwise effects and interacts of the three were significant in terms of the soluble sugar, MDA and chlorophyll content (Table 1).

thumbnail
Figure 1. Contents of soluble sugar, MDA and chlorophyll in T. repens, M. sativa and F. arundinacea under orthogonal designed experiment.

Note: (A) soluble sugar, (B) MDA and (C) chlorophyll.

https://doi.org/10.1371/journal.pone.0031670.g001

thumbnail
Table 1. The variance analysis of the soluble sugar, MDA and chlorophyll content of the target plants under different treatments of nitrogen and pH.

https://doi.org/10.1371/journal.pone.0031670.t001

Effects of crude chicory root and leaf water-soluble extract on germination and growth of T. repens

The results of the T. repens germination potential and rate, radicle and hypocotyl length with the concentrations of chicory root water-soluble extract under three combinations of different pH levels and nitrogen concentrations are shown in Fig. 2. The integrative trends of germination potential, germination rate, lengths of radicle and hypocotyls were decreased with an exception of hypocotyls at lower 25 g/l of extract when the extracts concentration increased from 0 to 50 g/l. The range (R) can described as the degree of influence the factors had on the test results. The effects of the chicory root and leaf extracts at the all pH levels and nitrogen concentration combinations on the germination potential of T. repens was as follows: R3 (261 mg/L nitrogen at pH 8.5)>R2 (130 mg/L nitrogen at pH 5.5)>R1 (65 mg/L nitrogen at pH 7.0); and germination rate as follows: R3>R1>R2. The chicory plant produced more secondary metabolites when grown in 261.22 mg/L nitrogen at pH 8.5. Generally, the lower concentrations of chicory root and leaf extracts fail to significantly influence the germination potential and germination rate of T. repens, which decreased with an increase in the extract concentration. The 50 g/L treatment significantly inhibited the T. repens germination potential and rate.

thumbnail
Figure 2. Effects of aquatic lixivium of different concentrations of chicory root and leaf extracts on the germination potential, germination rate, and radicle and hypocotyl length of T. repens under varying nitrogen and pH treatments.

https://doi.org/10.1371/journal.pone.0031670.g002

The ranges of the chicory root extracts from the three pH levels and three nitrogen concentrations combinations on the radicle and hypocotyl length of T. repens were as follows: R3>R2>R1 and R3>R1>R2, respectively. In contrast, the range of the chicory leaf extracts from the three pH and three nitrogen concentration combinations on the radicle length of T. repens was R3>R1>R2; and on the hypocotyl length was R3>R2>R1. The radicles were more sensitive to inhibition than the hypocotyls. When extract concentrations were very low (6.25 g/L), the growth of the radicle was inhibited. However, the growth of the hypocotyl was normal in lower extract concentrations and was not inhibited until the extract concentration reached 50 g/L or higher.

Effects of crude chicory leaf and root water-soluble extract on germination and growth of M. sativa

The results of the M. sativa germination potential and rate, radicle and hypocotyl length with the crude chicory water-soluble extract concentrations under three combinations of both different pH levels and nitrogen concentrations are shown in Fig. 3. The integrative trends of radicle length, germination potential and germination rate at 2 and 3 groups were decreased when the extracts concentration increased from 0 to 50 g/l. Fig. 3 also shows that the extract combination 2 that contains 130.61 mg/L nitrogen with a pH of 8.5 can exhibit a strong inhibiting result especially with the 50 g/L extract concentration. All of the three other extract combinations do not exhibit this suppressive effect as the 6.25 g/L, 12.5 g/L, 25 g/L extracts show almost no difference compared with control. However, all 50 g/L extracts show obvious growth hindrances. For M. sativa, the germination potential exhibited a larger difference than the germination rate under the same combination and extract concentration.

thumbnail
Figure 3. Effects of aquatic lixivium of different concentrations of chicory root and leaf extracts on germination potential, germination rate, and radicle and hypocotyl length of M. sativa under varying nitrogen and pH treatments.

https://doi.org/10.1371/journal.pone.0031670.g003

The extract of combination 2 (130.61 mg/L nitrogen and pH 8.5) exhibited a strong prohibitive result on the M. sativa radicle and hypocotyl growth. Fig. 3 also illustrated that the M. sativa radicle is more sensitive than the hypocotyl. When the extract concentration was 50 g/L, almost the growth of all radicals was obvious different compared to control, but the hypocotyls no significant difference.

Effects of crude chicory leaf and root water-soluble extracts on germination and growth of F. arundinacea

The results of F. arundinacea germination potential and rate, radicle and hypocotyl length with the crude chicory water-soluble extract concentrations under the three combinations of different pH levels and nitrogen concentrations are shown in Fig. 4. The integrative trends of germination potential, germination rate, lengths of radicle and hypocotyl were decreased when the extracts concentration increased from 0 to 50 g/l. The effect of the chicory root extracts of the three pH and nitrogen concentration combinations on the germination potential and rate of F. arundinacea was R1>R2>R3. When the root extract concentration was 50 g/L, all the trials were significantly different than the control. The extract concentration combinations 1 and 3 were different only up to 25 g/L with some change at 12.5 g/L. The effect of the chicory leaf extracts from the three pH levels and nitrogen concentration combinations on the germination potential and rate of F. arundinacea was R3>R2>R1. When the leaf extract concentration was 6.25 g/L, the treatments began to show a significant difference compared to the control. For F. arundinacea, all the R values for germination potential were greater than germination rate under the same treatment conditions.

thumbnail
Figure 4. Effects of aquatic lixivium of different concentrations of chicory root and leaf extracts on the germination potential, germination rate, and radicle and hypocotyl length of F. arundinacea under varying nitrogen and pH treatments.

https://doi.org/10.1371/journal.pone.0031670.g004

Both root and leaf extracts at a concentration of 12.5 g/L, play a part in the growth of the radicle. However, extract concentrations of 25 g/L were needed to affect the lengths of the hypocotyl. Generally, F. arundinacea radicle and hypocotyl lengths showed obvious differences with increase of chicory root and leaf extract concentrations.

Phenolics analysis and pH determination of chicory crude water-soluble extraction

Phenolics inhibit seed germination and seeding growth, which is generally accepted. Phenolics were analyzed using high-performance liquid chromatography (HPLC) (Fig. S1). The phenolics contents of chicory root and leaf extracts were determinated by caffeoylquinic acids and by caffeoylquinic acids and quercetin glucuronide, respectively. The root and leaf extracts made up 0.10 and 0.06 g per 100 g of dry mass, respectively. And pH of root and leaf extracts ranged from 4.88 to 5.84 and 4.34 to 6.57, respectively.

Models analyses for allelopathic effects on equivalent coupling of nitrogen (X1) and pH (X2)

Under equivalent coupling effects of X1 and X2, curves of the quadratic models of radicles and hypocotyls lengths at aquatic lixivium of fleshy root were shown in Fig. 5. The lengths of radicles and hypocotyls had maximum values. This indicated that the coupling effects of X1 and X2 facilitated the growths of radicles and hypocotyls. Therefore, the responding X1 and X2 of maximum points compose optimal ranges of the seedling growth as 2.29<X1<2.59 and 0.90<X2<1.27 respectively. The ranges decoded as 149 mg/l<nitrogen (X1)<168 mg/l and 4.95<pH (X2)<7.0 (Table 2 and Fig. 5).

thumbnail
Figure 5. Nitrogen and pH equivalent coupling effects of models for the effects of aquatic lixivium of chicory root on the radicle and hypocotyl length of the three plants.

https://doi.org/10.1371/journal.pone.0031670.g005

thumbnail
Table 2. Orthogonal matrix of the experimental design L9(34).

https://doi.org/10.1371/journal.pone.0031670.t002

However, the curves of the quadratic models of radicles and hypocotyls lengths at aquatic lixivium of leaves were shown that the lengths of radicles and hypocotyls had minimum values on equivalent coupling effects of X1 and X2 (Fig. 6). It indicated that the coupling effects of X1 and X2 inhibited the growths of radicles and hypocotyls. Therefore, the responding X1 and X2 of minimum points compose ranges of the inhibitory effects as 1.93<X1<2.02 and 1.22<X2<1.25 respectively. The ranges decoded as 125 mg/l<nitrogen (X1)<131 mg/l and 6.71<pH (X2)<6.88 (Table 2 and Fig. 6).

thumbnail
Figure 6. Nitrogen and pH equivalent coupling effects of models for the effects of aquatic lixivium of chicory leaf on the radicle and hypocotyl length of the three plants.

https://doi.org/10.1371/journal.pone.0031670.g006

Under equivalent coupling effects of X1 and X2, curves of the quadratic models of MDA content with X1 and X2 were shown in Fig. 7. The MDA contents had maximum values. The responding X1 and X2 of maximum points compose the point of the equivalent coupling effect at X1 = 2.77 and X2 = 1.16. The point decoded as nitrogen (X1) = 180 mg/l and pH (X2) = 6.38 (Table 2 and Fig. 7).

thumbnail
Figure 7. Nitrogen and pH equivalent coupling effects of models for the coupling effects in terms of the MDA content in the target plants.

https://doi.org/10.1371/journal.pone.0031670.g007

The contents of soluble sugar and chlorophyll in the target plant species as dependent variables with the nitrogen and pH treatments were respectively approached to two-variable quadratic regression models. The response surface and contour charts for the coupling effects of nitrogen and pH on the soluble sugar content shown that had a minimum point at 177 mg/l and pH = 6.33 (Fig. 8). Fig. 9 showed that on chlorophyll also had a minimum point at 166 mg/l and pH = 7.59.

thumbnail
Figure 8. Response surface and contour chart for the coupling effects of nitrogen and pH on soluble sugar content in the target plants.

https://doi.org/10.1371/journal.pone.0031670.g008

thumbnail
Figure 9. Response surface and contour chart for the coupling effects of nitrogen and pH on chlorophyll in content the target plants.

https://doi.org/10.1371/journal.pone.0031670.g009

Discussion

The results of this research agree with that allelopathy is an accepted phenomenon of chemical interactions with widespread significance in natural ecosystems [9], [30]. The released allelochemicals naturally function on other plants, weeds or microorganisms in inhibitory or excitatory ways [31]. The occurrence of allelopathic interactions implies that plants are less passive than expected, as they interact directly with other plants by transmitting, receiving or responding to chemicals [32]. The allelopathic competence of the leaves and roots of many plants and trees are well documented in both laboratory and greenhouse experiments [31]. The results of this study accorded with above points to some extent (Fig. 1, 2, 3, 4).

Plants are affected by artificially controlled environmental factors, such as altering the media pH, increasing the soil nitrogen content and enhancing light. Plant culture pH would impact its growth by changing the decomposition of organic matter in the soil. It was reported that organic matter decomposition is greatest at a neutral pH and is reduced with an increase or decrease from neutral [33]; however, others have shown that organic matter decomposition increased from slightly acidic to alkaline pH [34]. Both of the viewpoints were inferred from Fig. 1 and Fig. 5, 6, 7, 8, 9 in this study. Inconsistent decomposition may be due to other complicated soil factors [35]. The culture pH also affects the enzymatic activity of the culture medium. For example, phenol oxidase and peroxidase were found to change with pH change. Therefore pH can affect normal plant growth through the alteration of the enzymatic activity. Additionally, nitrogen fertilization may have a profound impact on below-ground decomposition. It may modify the microbial community composition and thus alter the production of soil enzymes involved in the depolymerization of soil organic matter and plant litter [36][38]. In our experiments, the results that the points of maximum lengths of radicle and hypocotyls were at 149 to 168 mg/l range of nitrogen (Fig. 5). An increase in soil nitrogen availability may suppress the activity of oxidative enzymes. The effect of nitrogen on decomposition is dependent on the chemical composition of the organic matter [39] and may further affect plant growth metabolism.

Chicory root and leaf water-soluble extracts shown allelopathic effects as illustrated by the inhibition of germination potential, germination rate, and growth of the radicles and hypocotyls in all three target plants tested at different levels of extracts (Fig. 2, 3, 4). The most effective concentration was 50 g/L, which had a more pronounced inhibitory effect on the germination potential. The germination potential, germination rate, and the growth of the radicles and hypocotyls in three bioassay indexes decreased with increasing concentration of crude chicory root and leaf water-soluble extract. The seed germination was also strongly inhibited at the early stages of the experiment (Fig. 2, 3, 4). The roots may be the primary target as they are in direct contact with the leachates containing the chicory allelochemicals [40] and were particularly sensitive to allelochemicals [41]. The stem extracts were more inhibitory to radicle growth than were the root extracts for barley (Hordeum vulgare L.) [42]. In contrast, our experimental results in Fig. 2, 3, 4 demonstrated that leaf extracts have stronger inhibitory effects than the root extracts of chicory. Furthermore, in models analyses, there were maximum length of radicle and hypocotyls under aquatic lixivium extract of chicory root (Fig. 5). This inferred that the root extract facilitated the seedling growth; whereas minimum length of those under the extract of leaf (Fig. 6) inferred that the leaf extract inhibited the seedling growth. These may be caused by a higher concentration of phytotoxins in the leaves versus the roots. These findings accorded with the reports that the study of Peganum harmala L. demonstrated the inhibitory order as: leaves>stems>roots [8], that the aqueous extracts of lettuce leaf (Lactuca sativa L.) showed marked inhibition of seed germination of alfalfa [43] and similar results were also obtained when robinia (Pseudo acacia L) leaf was grown in soil mixed with barnyard grass, white clover, lettuce and Chinese cabbage at various concentrations [44].

The membrane fat peroxidation function of plants can increase in adverse conditions, which would increase the content of MDA as one of the decomposition products [1], [45]. Under equivalent coupling effects of nitrogen and pH, curves of the quadratic models showed a maximum MDA content in this study (Fig. 7). This inferred an inhibited effect at the points of the maximum MDA contents when the point was at X1 = 2.77 and X2 = 1.16. The point decoded as nitrogen (X1) = 180 mg/l and pH (X2) = 6.38 (Table 2 and Fig. 7). MDA concentration will increase when plants are exposed to diverse stresses or become senescent [45]. The higher MDA content subjected to a coupling effect of higher nitrogen (180 mg/l) and lower pH (6.38) environment in our experiment.

Soluble sugar is important in the osmotic regulation of substances within a plant body. In adverse conditions, an increase in the soluble sugar content is expected [1], [13]. In this study, the response surface and contour charts illustrated a minimum content of soluble sugar for the coupling effects of nitrogen and pH. The point of the minimum value was at 177 mg/l and pH = 6.33 (Fig. 8). This inferred that there was a stimulative effect at the point rather than an inhibitory effect.

Chloroplasts are the locations where photosynthesis takes place. Therefore, it is used to intercept light energy. The chlorophyll content directly impacts the photosynthetic ability of a plant, and to a certain extent, it reflects the level of leaf nitrogen [6], [46]. The result of this study showed a minimum value of chlorophyll content in the target plants when models' analyzing the coupling effects of nitrogen and pH (Fig. 9). This inferred that there was a strongest inhibitory effect at the point of the minimum value which was at 166 mg/l and pH = 7.59 (Fig. 9). Plants grown in nutrient solutions with a lower pH were negatively affected by the addition of HCl, which was added when the pH level was adjusted [46]. However, under acidic pH treatment (pH = 5.5, 261 mg/l nitrogen), the chlorophyll content of the target plants showed significant differences (Fig. 1 C). These results could have been caused by the presence of either excess protons or chloride ions in the solution [46].

Changing the soil pH and nitrogen composition can alter the secondary metabolism of allelochemicals. For investigating that the integrative effect of nitrogen and pH coupling via donor plant influence seedling growth of the target plant species, the results of models analyses (Fig. 5 to 9) were combined and plotted as distribution surface of nitrogen and pH (Fig. 10). Rectangular area ‘A’ and point ‘C’ indicated the results of Fig. 5 and 8 respectively. They were combined a location defined by 149 to 168 mg/l nitrogen supply and 4.95 to 7.0 pH level (area ‘A’) and at 177 mg/l nitrogen, 6.33 pH level (point ‘C’) (Fig. 10) because both of them had positive coupling effects on the target plants in this study. In contrast, the combinative treatments of the nitrogen and pH on chicory located at rectangular area ‘B’, point ‘D’ and ‘E’ (Fig. 10), which respectively indicated the results of Fig. 6, 7 and 9, had negative coupling effects on the target plant.

thumbnail
Figure 10. Distribution surface of nitrogen and pH for the effects on the seedling growth, soluble sugar, MDA and chlorophyll in the target plants.

https://doi.org/10.1371/journal.pone.0031670.g010

Phenolic compounds are often discussed in relation to allelopathy, which have been proven with phytotoxic perhaps due to their some minor fraction in many literatures [6], [40]. The total concentrations of phenolic acids in the ecotypes of important species were positively correlated with the total organic acid concentrations found in their respective soils [47]. Exposure to phenolic acids caused depolarization and an increased ion permeability in barley root membranes, and the inhibition of ion uptake was directly related to membrane perturbation and not to cytoplasmic changes [48]. Contents of phenolics for different treatments exist obvious difference, which basically increase with extractions concentrations rising.

Increasing the nitrogen level of cultivation can result in an increase in the conversion rate of organic to mineral nitrogen by soil microbes. Thus, a positive feedback mechanism is activated that leads to an increase the leaching of NO3. The greater the total nitrogen uptake by plants, the greater the plant productivity [49], [50]. There were significant differences with regards to soluble sugar and MDA content among the 65, 130 and 261 mg/l treatment conditions (Fig. 1 A and Fig. 10). Similarly, a decrease in the soluble sugar concentration in the Lycium barbarum leaf was discovered with an increasing application rate of nitrogen fertilizer [51]. All of these changes were attributed to the complex physiological and biochemical mechanisms of plants. Therefore, these mechanisms need to be further investigated.

Different plants contain different genes. The diversity of genetic pool decides the diversity of various traits, so plants are expected to show differences in factors such as height, MDA content, chlorophyll content, etc. when they are grown in the same biotope. When the target plants were treated as factors, the soluble sugar, MDA and chlorophyll content showed significant differences. For example, F. arundinacea had a stronger nitrogen absorbability and assimilation even in the lower nitrogen supply and, as a result, had a better ability to maintain a high chlorophyll content [52]. Thus, these results can only be used to select for grass species with medium or poor nitrogen resistance.

Conclusion

This study suggested a positive effect of nitrogen supply and pH level on allelochemical secretion from chicory plants. The nitrogen supply and pH level were located at rectangular area defined by 149 to 168 mg/l nitrogen supply combining 4.95 to 7.0 pH value and point located at nitrogen supply 177 mg/l, pH 6.33 when they were in equivalent coupling effects; whereas the inhibitory effects of equivalent coupling nitrogen supply and pH level were located at rectangular area defined by 125 to 131 mg/l nitrogen supply combining 6.71 to 6.88 pH value and two points respectively located at nitrogen supply 180 mg/l with pH 6.38 and nitrogen supply 166 mg/l with pH 7.59. Aqueous extracts of chicory fleshy roots and leaves accompanied by treatment at different soil pH values and nitrogen concentrations influenced germination, seedling growth, soluble sugar, MDA and chlorophyll of F. arundinacea, T. repens and M. sativa. Further research to quantify allelochemical activity as a function of pH and nitrogen supplementation and to investigate its consequence on hydrolytic enzyme activities may help to make precise decisions on adjusting the habitat of chicory.

Materials and Methods

Two experiments composed this study. The experiment one was conducted in a completely automated PVC greenhouse, located at the Northwest A & F University (34°28′N, 108°07′E). The yearly average sunshine duration is 2,150 h. The average temperature is 12–14°C with the highest temperature between 39–40°C and the lowest temperature −21–−15°C, which represents the half-humid, warm temperate climate zone. The soil pH was 8.26, and the total nitrogen content in the top 20 cm of the soil was 0.00972% with a C∶N ratio of 11. The experiment two was germination test which was conducted in constant temperature culture base.

Experimental materials

Our chicory (C. intybus L.) plants were transplanted from the first agricultural station in Northwest A & F University to the greenhouse as donor plants and placed 70 cm above the target plants. Our target species included T. repens, F. arundinacea and M. sativa, which were sown in pots as target plants.

Experimental design

The experiment one was orthogonally designed to incorporate three factors at three levels using the L9(34) orthogonal matrix. It contained three different target species (F. arundinacea, T. repens and M. sativa), three nitrogen treatments (X1: 0.5 N, 1 N and 2 N) and three pH treatments (X2: pH 5.5, pH 7 and pH 8.5). There were total of 9 treatments with three repetitions and comprised of 27 pots (Table 3).

Multiple 25 cm diameter pots were used as donor pots, which had a 10-cm diameter gap on the bottom. In this gap, a plastic funnel (12 cm diameter) was glued to the pot. The funnel was filled with pebbles and a wire netting (made of various meshes) was placed on the top to retain the sand placed in the pot. The funnel was connected to a polyethylene (PE) tube to allow the flow of leachate. Each of three pots was supplemented with and liquid nitrogen at appropriate pH every other day, which compensated for the water loss due to evaporation and leaching.

Experiment one

pH and nitrogen treatment.

To test the allelopathic effects of the chicory, we used sand with different pH levels and nitrogen concentrations in an orthogonal design of three factors with three levels (total of nine treatments). The pH values were adjusted to 5.5, 7, 8.5±0.02 using 0.001 mol/L NaOH and HCl. The concentrations of nitrogen treatments were 65.305, 130.610 and 261.122 mg/L, respectively (half, one and double times of the nitrogen content of modified Hoagland's nutrient solution).

Soluble sugar, MDA and total chlorophyll content analysis.

Using the shoots (1 g fresh weight) corresponding to the 3 target plant species (F. arundinacea, T. repens and M. sativa) for each treatment, the amount of soluble sugar (sucrose), MDA and chlorophyll in 0.1 g was measured with a spectrophotometer (U-2001,Hitachi, Japan) at 450, 532 and 652 nm, respectively. Each experiment was conducted three times and results are presented in Fig. 1 as the mean of these three replicates.

Experiment two

Crude water-soluble extraction of chicory for experiment two.

When finished experiment one, the chicory plants in each donor pot were immediately washed with distilled water and divided into the above ground and the underground parts, then sliced up, air dried, ground into powder and passed through a 40 mesh sieve respectively. Eighteen (9×2) samples of the dry matter were got. Each one was soaked for 48 h (10.0 g of 100 mL distilled water) at 25°C with stirring once every 12 h. After a 10 minute centrifugation at 4000 rpm, the supernatant liquid was harvested and passed through filter funnels to obtain an original fluid with a concentration of 100 g/L. Each of the original fluid was then diluted to 6.25, 12.5, 25, 50 g/L and added with a control of distilled water for composing five levels of treatments. Totally 90 (9×2×5) samples of aquatic lixivium were got as treatments. The solutions were used to irrigate growing seeds of the target plants in Petri dishes every other day.

Allelochemicals analysis and pH determination of chicory crude water-soluble extraction.

HPLC was applied to phenolics of chicory allelochemicals. A column of Diamonsil 18 C (2) (250 mm×4.6 mm ID) was placed. Linear gradient elution was carried out at a flow rate of 1 ml/min. Solvent A was 3% acetic acid in distilled water, and solvent B, acetonitrile with 3% acetic acid. Detected wavelength is 280 nm, and column temperature is 38°C. Identification and quantification of phenolic compounds were performed by comparing retention times, wavelength detection, and peak areas to those of standard compounds (Fig. S1). pH meter was used to determine pH of every extractions.

Germination test.

The seeds of the three target plants species were disinfected with potassium permanganate for 15 minutes, and then rinsed repeatedly to remove the potassium permanganate completely with distilled water (5 to 6 washes). Next, the seeds were separately placed in 270 (90×3 repetition) Petri dishes (9 cm diameter and 1.7 cm deep). Fifty seeds were placed in each Petri dish. They were fitted with two pieces of 9 cm filter paper and moistened with 1 mL of the treatments respectively. The covered Petri dishes were incubated in completely dark conditions (Eyela, Eyelatron FLI-301NH, Japan) at 25°C for either 14 days for F. arundinacea or 10 days for T. repens and M. sativa. The percentage of germination potential (the 5th day for F. arundinacea and the 4th day for T. repens and M. sativa) and the germination rate (measured on the last experimental day) was recorded. The physiological characteristics of the radicles and hypocotyls and the length of both organs were also documented. This experiment was conducted three times and the results were presented in Fig. 2, 3, 4 as the mean of the three replicates.

Data analysis and statistic methods

The germination potential, germination rate and radicle and hypocotyl length along with the sucrose, MDA and chlorophyll content of target plants were analysed using the analysis of variance (ANOVA) test. The five individual plants per target pot were averaged as an experimental unit. The target species and the treatments were treated as factors. Also, the fixed factors included three nitrogen concentrations and three pH levels. For the determination of significance, post hoc LSD tests were used to identify significantly different treatments.

For generic results, the factors nitrogen and pH were denoted by X1 and X2. The levels of X1 and X2 were coded (Table 2). The dependent variables, lengths of radicles and hypocotyls treated by root aquatic lixivium and leaves aquatic lixivium were denoted by YR-R, YR-H, YL-R and YL-H respectively. The MDA contents in the target species was denoted by YMDA. These variables were approached and analyzed via two-variable (X1 and X2) quadratic regression models as [53][55]:(1)Where, β is constants. For equivalent coupling effects of X1 and X2, thus,(2)Then, one-variable quadratic models of Y with X1 and X2 were respectively obtained and their quadratic curves were presented in Fig. 5, 6, 7.

Response surface and contour charts are respectively graphed for the soluble sugar and chlorophyll contents with their responding nitrogen and pH treatments (Fig. 8 and 9). Additionally, Distribution surface of nitrogen and pH for the results of two experiments was plotted in Fig. 10. The analyses and graphical procedures specified above were all performed using SAS (v8.2) [56].

Supporting Information

Figure S1.

Chromatograms of chicory samples after water extraction; black, blue and green line respectively represent table sample, root extract and leaf extract.

https://doi.org/10.1371/journal.pone.0031670.s001

(DOC)

Acknowledgments

We are grateful to Dr. Djura Karagic, Forage Crops Department, Institute of Field and Vegetable Crops, Serbia, for creative comments on this manuscript.

Author Contributions

Conceived and designed the experiments: BX QW. Performed the experiments: BX CW GC. Analyzed the data: QW BX JC. Contributed reagents/materials/analysis tools: ZW TH. Wrote the paper: QW BX PW.

References

  1. 1. Rice EL (1984) Allelopathy, 2nd edn. Academic Press, New York, USA.
  2. 2. Fang CX, He HB, Wang QS, Qiu L, Wang HB, et al. (2010) Genomic analysis of allelopathic response to low nitrogen and barnyardgrass competition in rice (Oryza sativa L.). Plant Growth Regul 61: 277–286. Doi:https://doi.org/10.1007/s10725-010-9475-8.
  3. 3. Kato-Noguchi H (2009) Stress-induced allelopathic activity and momilactone B in rice. Plant Growth Regul 59: 153–158.
  4. 4. Fang CX, Xiong J, Qiu L, Wang HB, Song BQ, et al. (2009) Analysis of gene expressions associated with increased allelopathy in rice (Oryza sativa L.) induced by exogenous salicylic acid. Plant Growth Regul 57: 163–172.
  5. 5. Kato-Noguchi H, Yamamoto M, Tamura K, Teruya T, Suenaga K, et al. (2010) Isolation and identification of potent allelopathic substances in rattail fescue. Plant Growth Regul 60: 127–131.
  6. 6. Le Thi H, Toshiaki T, Kiyotake S, Van Chin D, Kato-Noguchi H (2008) Allelopathy and the allelothathic activity of a phenylpropanol from cucumber plants. Plant Growth Regul 56: 1–5.
  7. 7. Salam MA, Morokuma M, Teruya T, Suenaga K, Kato-Noguchi H (2009) Isolation and identification of a potent allelopathic substance in Bangladesh rice. Plant Growth Regul 58: 137–140.
  8. 8. Sodaeizadeh H, Rafieiolhossaini M, Havlik J, Van Damme P (2009) Allelopathic activity of different plant parts of Peganum harmala L. and identification of their growth inhibitors substances. Plant Growth Regul 59: 227–236.
  9. 9. Parvez SS, Parvez MM, Nishihara E, Gemma H, Fujii Y (2003b) Tamarindus indica L. leaf is a source of allelopathic substance. Plant Growth Regul 40: 107–115.
  10. 10. Lawton JH (1994) What Do Species Do in Ecosystems. Oikos 71: 367–374.
  11. 11. Ens EJ, French K, Bremner JB, Korth J (2010) Novel technique shows different hydrophobic chemical signatures of exotic and indigenous plant soils with similar effects of extracts on indigenous species seedling growth. Plant Soil 326: 403–414.
  12. 12. Nakano H, Fujii Y, Yamada K, Kosemura S, Yamamura S, et al. (2002) Isolation and identification of plant growth inhibitors as candidate(s) for allelopathic substance(s), from aqueous leachate from mesquite (Prosopis juliflora (Sw.) DC.) leaves. Plant Growth Regul 37: 113–117.
  13. 13. Hadacek F (2002) Secondary metabolites as plant traits: Current assessment and future perspectives. Critical Rev Plant Sci 21: 273–322.
  14. 14. Mulabagal V, Wang HB, Ngouajio M, Nair MG (2009) Characterization and quantification of health beneficial anthocyanins in leaf chicory (Cichorium intybus) varieties. European Food Res Techn 230: 47–53.
  15. 15. Plmuier W (1972) Chicory improvement. Revueder Agriculture 4: 567–585.
  16. 16. Wang Q, Cui J (2011) Perspectives and utilization technologies of chicory (Cichorium intybus L.): A review. Afri J Biotech 10: 1966–1977.
  17. 17. Hassan HA, Yousef MI (2010) Ameliorating effect of chicory (Cichorium intybus L.)-supplemented diet against nitrosamine precursors-induced liver injury and oxidative stress in male rats. Food Chem Toxicol 48: 2163–2169.
  18. 18. Deshusses J (1961) The content of formic acid in roasted coffee, chicory, soluble extracts of coffee and coffee substitutes. Mitt Geb Lebensmittelunters Hyg 52: 428–30.
  19. 19. Van Waes C, Baert J, Carlier L, Van Bockstaele E (1998) A rapid determination of the total sugar content and the average inulin chain length in roots of chicory (Cichorium intybus L). J Sci Food Agri 76: 107–110.
  20. 20. Belesky DP, Fedders JM, Turner KE, Ruckle JH (1999) Productivity, botanical composition, and nutritive value of swards including forage chicory. Agron J 91: 450–456.
  21. 21. Jung GA, Shaffer JA, Varga GA, Everhart JR (1996) Performance of ‘grasslands puna’ chicory at different management levels. Agron J 88: 104–111.
  22. 22. Hogh-Jensen H, Nielsen B, Thamsborg SM (2006) Productivity and quality, competition and facilitation of chicory in ryegrass/legume-based pastures under various nitrogen supply levels. European J Agron 24: 247–256.
  23. 23. Barry TN (1998) The feeding value of chicory (Cichorium intybus) for ruminant livestock. J Agri Sci 131: 251–257.
  24. 24. Turner KE, Belesky DP, Fedders JM (1999) Chicory effects on lamb weight gain and rate of in vitro organic matter and fiber disappearance. Agron J 91: 445–450.
  25. 25. Cambui CA, Svennerstam H, Gruffman L, Nordin A, Ganeteg U, et al. (2011) Patterns of Plant Biomass Partitioning Depend on Nitrogen Source. PLoS ONE 6(4): e19211.
  26. 26. Delfini R, Belgoff C, Fernandez E, Fabra A, Castro S (2010) Symbiotic nitrogen fixation and nitrate reduction in two peanut cultivars with different growth habit and branching pattern structures. Plant Growth Regul 61: 153–159. Doi:https://doi.org/10.1007/s10725-010-9461-1.
  27. 27. Zhang Y, Lv H, Wang D, Deng J, Song W, et al. (2011) Partial nitrate nutrition amends photosynthetic characteristics in rice (Oryza sativa L. var. japonica) differing in nitrogen use efficiency. Plant Growth Regul 63.Doi: 10.1007/s10725-010-9520-7.
  28. 28. Chaillou S, Vessey JK, Morotgaudry JF, Raper CD, Henry LT, et al. (1991) Expression of Characteristics of Ammonium Nutrition as Affected by Ph of the Root Medium. J Exp Bot 42: 189–196.
  29. 29. Vessey JK, Henry LT, Chaillou S, Raper CD (1990) Root-Zone Acidity Affects Relative Uptake of Nitrate and Ammonium from Mixed Nitrogen-Sources. J Plant Nutr 13: 95–116.
  30. 30. Parvez SS, Parvez MM, Fujii Y, Gemma H (2003a) Allelopathic competence of Tamarindus indica L. root involved in plant growth regulation. Plant Growth Regul 41: 139–148.
  31. 31. Parvez SS, Parvez MM, Fujii Y, Gemma H (2004) Differential allelopathic expression of bark and seed of Tamarindus indica L. Plant Growth Regul 42: 245–252.
  32. 32. Fitter A (2003) Making allelopathy respectable. Science 301: 1337–1338.
  33. 33. Delaune RD, Reddy CN, Patrick WH (1981) Organic matter decomposition in soil as influenced by pH and redox conditions. Soil Biol Biochem 13: 533–534.
  34. 34. Amato M, Ladd JN (1992) Decomposition of 14C-labelled glucose and legume material in soils: Properties influencing the accumulation of organic residue C and microbial biomass C. Soil Biol Biochem 24: 455–464.
  35. 35. Yao H, Bowman D, Rufty T, Shi W (2009) Interactions between N fertilization, grass clipping addition and pH in turf ecosystems: Implications for soil enzyme activities and organic matter decomposition. Soil Biolo Biochem 41: 1425–1432.
  36. 36. De-Forest JL, Zak DR, Pregitzer KS, Burton AJ (2004) Atmospheric nitrate deposition, microbial community composition, and enzyme activity in northern hardwood forests. Soil Sci Societ America J 68: 132–138.
  37. 37. Gallo M, Amonette R, Lauber C, Sinsabaugh RL, Zak DR (2004) Microbial community structure and oxidative enzyme activity in nitrogen-amended north temperate forest soils. Micr Ecol 48: 218–229.
  38. 38. Saiya-Cork KR, Sinsabaugh RL, Zak DR (2002) The effects of long term nitrogen deposition on extracellular enzyme activity in an Acer saccharum forest soil. Soil Biolo Biochem 34: 1309–1315.
  39. 39. Sinsabaugh RL, Carreiro MM, Repert DA (2002) Allocation of extracellular enzymatic activity in relation to litter composition, N deposition, and mass loss. Biogeochemi 60: 1–24.
  40. 40. Viard-Cretat F, Gallet C, Lefebvre M, Lavorel S (2009) A leachate a day keeps the seedlings away: mowing and the inhibitory effects of Festuca paniculata in subalpine grasslands. Annal Bot 103: 1271–1278.
  41. 41. Perry LG, Thelen GC, Ridenour WM, Weir TL, Callaway RM, et al. (2005) Dual role for an allelochemical: (+/−)-catechin from Centaurea maculosa root exudates regulates conspecific seedling establishment. J Ecolo 93: 1126–1135.
  42. 42. Oueslati O, Ben-Hammouda M, Ghorbal MH, Guezzah M, Kremer RJ (2005) Barley autotoxicity as influenced by varietal and seasonal variation. J Agron Crop Sci 191: 249–254.
  43. 43. Chon SU, Jang HG, Kim DK, Kim YM, Boo HO, et al. (2005) Allelopathic potential in lettuce (Lactuca sativa L.) plants. Sci Horticul 106: 309–317.
  44. 44. Nasir H, Iqbal Z, Hiradate S, Fujii Y (2005) Allelopathic potential of Robinia pseudo-acacia L. J Chem Ecolo 31: 2179–2192.
  45. 45. Dong J, Wu FB, Jin ZQ, Huang YQ (2006) Heterosis for yield and some physiological traits in hybrid cotton Cikangza 1. Euphytica 151: 71–77.
  46. 46. Barkosky RR, Einhellig FA, Butler JL (2000) Caffeic acid-induced changes in plant-water relationships and photosynthesis in leafy spurge Euphorbia esula. J Chem Ecol 26: 2095–2109.
  47. 47. Kidd PS, Proctor J (2000) The growth response of ecotypes of Holcus lanatus L. from different soil types in northwestern Europe to phenolic acids. Plant Biolo 2: 335–343.
  48. 48. Glass ADM, Dunlop J (1974) Influence of Phenolic Acids on Ion Uptake .4. Depolarization of Membrane-Potentials. Plant Physiol 54: 855–858.
  49. 49. Lea PJ, Azevedo RA (2006) Nitrogen use efficiency. 1. Uptake of nitrogen from the soil. Annals Appl Biolo 149: 243–247.
  50. 50. Levang-Brilz N, Biondini ME (2003) Growth rate, root development and nutrient uptake of 55 plant species from the Great Plains Grasslands, USA. Plant Ecolo 165: 117–144.
  51. 51. Chung RS, Chen CC, Ng LT (2010) Nitrogen fertilization affects the growth performance, betaine and polysaccharide concentrations of Lycium barbarum. Ind Crops Prod 32: 650–655.
  52. 52. Suriguga , Ma WL, Sun TJ, Liu SJ (2008) Comparative study on response to medium with different nitrogen supply levels of ten grass species during seedling stage. Xibei Zhiwu Xuebao 28: 1689–1694.
  53. 53. Chatterjee S, Price B (1977) Regression analysis by example. John Wiley & Sons, Inc., New York.
  54. 54. Lattin JM, Carroll JD, Green PE (2003) Analyzing multivariate data. Brooks/Cole, USA.
  55. 55. Gregory S (1978) Statistical methods and geographer. Longman Inc., New York, London and New York.
  56. 56. SAS-Institute-Inc. (1988) SAS/STAT User's Guide. SAS Institute Inc., Cary, NC.