Indian Journal of Agricultural Research

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Assessment of Mycorrhizal Colonization and Soil Biological Attributes in Healthy and Declining Khasi Mandarin (Citrus reticulata Blanco) Orchards in Acidic Inceptisols

Christy B.K. Sangma1,*, Rokozeno Chalie-u1, A. Thirugnanavel2, D.J. Rajkhowa1, V.K. Mishra3
1ICAR-Research Complex for NEH Region, Nagaland Centre, Medziphema-797 106, Nagaland, India.
2ICAR-Central Citrus Research Institute, Amravati Road, Nagpur-440 033, Maharashtra, India.
3ICAR-Research Complex for NEH Region, Umiam-793 103, Meghalaya, India.
Background: Khasi mandarin (Citrus reticulata Blanco) a loose-skinned commercial cultivar is one of the premier citrus species native to sub-tropical hill zones of Northeast India. But this fruit crop suffers a serious threat due to the dieback condition in the present years.

Methods: Khasi mandarin orchards of different categories viz. young non-bearing orchards, bearing healthy orchards, bearing old orchards and declining orchards were selected for the study from the sub-tropical hill zones of acidic Inceptisols at varying altitudes of <150 m to >1400 m amsl. In those selected orchards, a series of soil physico-chemical, biological and microbiological attributes were characterized in the healthy as well as in the declining orchards. 

Result: The results revealed that both the physico-chemical and biological parameters in the healthy orchards were found to be significantly (P≤0.05) higher than the declining orchards. Further, the mycorrhizal colonization effectively influenced the composition of microbial structure in the rhizospheric zone, affecting the health and vigour of the plant.
Khasi mandarin (Citrus reticulata Blanco, family Rutaceae) a commercial cultivar with loose-skinned is one of the premier citrus species native to sub-tropical hill zones of Northeast India. This fruit crop occupies nearly 41.5% of the total citrus production, with 0.404 million hectares out of 0.923 million hectares citrus area and 5 million tonnes production in India (www.agricoop.nic.in 2018-19). The rich agro-climatic conditions in Northeast India, favour the Khasi mandarin to thrive in undulating topography with different altitudes ranging from low to high i.e. 50 to 5000 metre above mean sea levels (m amsl) (Sanabam et al., 2015). But the Khasi mandarin trees in the present years suffer a serious threat due to dieback/rapid decline condition, with typical characteristic symptoms viz. yellowing, interveinal chlorosis and mottling like that of plant nutritional disorders. At the advanced stage dieback of branches starts from tip to downward and branches turn yellow to brown and die rapidly. This dieback is often observed at any stage of growth of the affected tree.

In general, Khasi mandarin orchards flourish well in light soils with good drainage conditions and deep soils with pH range of 5.5 to 7.5 are considered ideal for its growth. However, they can also be grown in a pH range of 4.0 or below, but, high concentration of aluminum in soil can adversely affect the feeder root zone affecting the overall growth. In North Eastern Hill (NEH) region the soils are acidic with high phosphorus (P) fixing (as iron and aluminum phosphates) capacity, making it insoluble for plant absorption. So, solubilization of P carried out by P solubilizing (bacteria or fungi) and mobilizing microorganisms (vesicular arbuscular mycorrhiza-VAM) through symbiosis play an important role in acid soils (Balota et al., 2011) by increasing the pathway for the uptake of nutrients and increase the plants’ resistance to abiotic and biotic stresses (Wu et al., 2006).

Besides the symbiotic mycorrhizal colonization, the soil physico-chemical and biological properties and density of the viable populations present in the rhizosphere, play an important role in maintaining the health and vigour of the Khasi mandarin trees. Organic carbon in soil (SOC) is the key element in determining the soil quality, productivity and sustenance of any agro-ecosystem and the biological pools viz. the microbial biomass and the microbial activity are the indicators to any changes in soil health due to management practices and their capacity to supply nutrients for both plants and microorganisms. So, a comprehensive study on soil type, chemical and biological activities in soil and presence or absence and infection percentage of VAM fungi, in bearing and non-bearing healthy and declining Khasi mandarin plants in acidic Inceptisols will give the idea to what soil conditions the healthy and declining plants are reacting to?
Description of soil sampling site and method of sampling
 
The study area consist of 16 (sixteen) no. of Khasi mandarin orchards located from 25°42.926'N to 25°47.475'N latitude and 93°48.213'E to 94°09.093'E longitude and altitude range of 141 m to 1442 m amsl in acidic Inceptisols of Northeast India (Table 1).

Table 1: Khasi mandarin orchard location with soil texture.



These selected orchards were categorized into four different types, viz. (1) Young non-bearing orchards of 0-7 years old, (2) Bearing healthy orchards of 8-30 years old, (3) Bearing old orchards of 30-45 years old and (4) Declining orchards includes, any orchard age with nutrient deficient and infested unhealthy plants. For each orchard type, 4 (four) replication orchards were taken.

Soil samples collected were a random composite of 5 spots pooled in zigzag pattern and 3 composites were collected from each orchard. The collected soils were within the radius of 60 cm of tree trunk of Khasi mandarin plant at two soil depths of 0-15 cm and 15-30 cm and air dried and sieved for physico-chemical analysis. For biological parameters soil samples were kept in a refrigerator at 4°C until analysis. Core samplers were used for the root sampling and kept at 4°C until analysis. For the determination of percent root mycorrhizal colonization, root samples were collected from Khasi mandarin plants of five types, i.e. healthy non-bearing, healthy bearing, bearing old plants, disease plants and declining plants. The replications for root samples also follow the same way as that of soil samples.

All the laboratory analytical works were carried out in ICAR Research Complex for NEH Region, Nagaland Centre, Medziphema, India and the duration of the research work was from 2016 to 2020.
 
Soil chemical parameters
 
Gravimetric soil moisture content (MC) was determined by oven drying at 105°C to constant weight. The soil texture was analysed by the hydrometer method (Buoyoucous, 1927). Soil pH was analyzed using 1:2.5 soil/water suspension (Jackson, 1973). Soil organic carbon (SOC) was determined by the wet oxidation method as described by Walkley (1947). Available nitrogen (AvlN) was determined by Subbiah and Asija (1956) method. Available phosphorus (AvlP) was determined by the stannous chloride blue colour method (Bray and Kurtz, 1945). Available potassium (AvlK) was determined by Hanway and Heidel (1952) method in flame photometer.

Soil biological parameters
 
Freshly collected soil samples were used for microbial biomass carbon, nitrogen and phosphorus (MB-C, MB-N and MB-P) determination by the chloroform-fumigation-extraction method (Brookes and Joergensen, 2006). The difference in C, N and P content between fumigated and non-fumigated sub-samples was calculated using a conversion factor, KEC = 0.25 (Jenkinson and Powlson, 1976), KEN = 0.45 (Jenkinson, 1988) and KEP = 0.40 (Brookes et al., 1982) for MB-C, MB-N and MB-P respectively. Basal respiration (BAS) was measured by using the standard base trap method in a NaOH solution (Pell et al., 2006). Dehydrogenase activity (DHA) was determined as per the method described by Casida et al., (1964). The intensity of the reddish colour concentration of triphenyl formazan (μgTPF g-1 (dw) soil h-1) was measured in a spectrophotometer at a wavelength of 485 nm. Acid phosphomonoasterases activity (PHA) was determined in fresh soil samples as per the procedure described by Tabatabai and Bremner (1969). The intensity of the yellow colour (μg p-nitrophenol g-1(dw) soil h-1) was measured at 440 nm using a spectrophotometer. Metabolic quotient (MQ- qCO2) is derived by taking the ratio of BAS and MB-C (Anderson and Domsch, 1990).
 
The enumeration of the total viable microbial population was carried out at two soil depths (0-15 cm and 15-30 cm), in two types of media- nutrient agar (NA) for general soil bacteria and Jensen agar medium (JA) for nitrogen fixing types. The population count was quantified by following the serial dilution plate technique and expressed as cfu ml-1. Each colony that appeared on the plate was considered as one colony forming unit (cfu) (Waksman, 1927).

The sample was processed for root staining and mycorrhizal colonization following the method given by Koske and Gemma (1989), in which the roots (1 cm) were dipped in 10% KOH (potassium hydroxide- at room temperature) for the cellulose destruction, after which roots were acidified with 1% HCl (hydrochloric acid) followed by 10% H2O2 (hydrogen peroxide) for bleaching and better staining. Finally, they were stained with 0.01% trypan blue in lacto-glycerol (Brundrett et al., 1996) and mounted lengthwise on a glass slide for observing under a microscope for arbuscules, vesicles and internal hyphae in the root cortex. The percent root colonization was calculated by following the formula:

 
 
Data analysis
 
Data generated from the laboratory analysis were subjected to the statistical analyses of variance appropriate to the experimental design. Data were assessed by Duncan’s multiple range tests (Duncan, 1955) with a probability of P≤0.05. The least significant difference (LSD) between means was calculated using the SPSS program (SPSS version 21.0). The pair-wise correlation matrix was also developed irrespective of orchard type to find out the relationship between various parameters. The result obtained for the microbiological parameters (VAM and population count) were subjected to statistical analysis for mean and standard deviation by following the method for one-way ANOVA.
The healthy orchards in the selected study areas were mostly located in the high altitude regions with clay and clay loam type soil textures and the declining orchards on the other hand were mostly found in the low altitude areas and have light texture soils (Table 1). Soil pH, SOC, AvlN, AvlP and AvlK content in those healthy orchard soils were significantly (P≤0.05) higher than the other orchards (Table 2). Soil pH in the declining orchards were very low (4.69 pH), AvlN, AvlP and AvlK in declining orchards were also found to be low to moderate range. Similar observations were also reported by various researchers, where the health and productivity of the crop, whether field or fruit crop depends on the nutritional status of the soil (Obreza et al., 2008; Han et al., 2008).

Table 2: Basic soil parameters and soil microbial biomass -C, -N and -P for different Khasi mandarin orchard types.


 
Soil biological attributes in different Khasi mandarin orchard types
 
Analysis of the microbial biomass directly or indirectly determines the active nutrient status of the soil, mobilization and availability to the crops determining the quality of the soil (Deng et al., 2000). MB-C, -N and -P in the present study were also significantly higher (P≤0.05) in bearing old orchards, bearing healthy orchards and bearing old orchards respectively (Table 2), than the declining orchards. The higher microbial biomass in the study signifies the productivity of the soil, which is reflected in the growth, development and performance of the Khasi mandarin under study.

The enzyme activities are used as the index to microbial activity and are often considered to be the sensitive indicators for management-induced changes in soil fertility and stress (Wlodarczyk et al., 2002). Enzyme DHA is an index for total microbial activity and PHA, a key enzyme for hydrolyzing the organic phosphorus compounds (Pascual et al., 2002). The median values and the distribution of data on the microbial activities viz. dehydrogenase activity (DHA) and acid phosphatase activity (PHA), basal respiration (BAS) and metabolic quotient (MQ-qCO2) for the study areas were illustrated in Fig 1.

Fig 1: Violin with box-plot of dehydrogenase activity (DHA), phosphatise activity (PHA) and basal respiration (BAS). The microbial activities are expressed generally in graph as µg g-1 hr-1 whereas specifically the units are for DHA (ìg TPF g-1DW soil h-1), PHA (ìg p-nitrophenol g-1DW soil h-1), BAS (ìgCO2 g-1DW h-1) and MQ (mg CO2-Cg-1 Cmic h-1). The box indicates the interquarter range, while the whiskers show non-outlier range.



The enzyme activities in the present study corroborated with the earlier reports and higher activities were observed in those orchard types where the soil nutritional statuses and microbial biomass were higher (Zhang et al., 2007). The MQ show the stress condition in soil and higher amount of MQ in declining orchards, indicated that imbalance nutrient and disturbance in soil has negative effect on the efficiency of microbial activities and show high MQ. Laik et al., (2009) showed that higher soil respiration was observed in higher microbial biomass with enhanced soil microbial activities; identical results were also observed in the present study.
 
VAM colonization pattern in roots and viable microbial population in rhizospheric soils of Khasi mandarin plants
 
VAM infection type (Fig 2) and per cent infection in 5 types of Khasi mandarin plants were presented in Table 3.

Fig 2: Vesicles and arbuscules of VAM fungi in the roots of the Khasi mandarin plant.



The root examination showed that the vesicular (VI) and hyphal (HI) types of root infections were found in all plant types considered. But the arbuscular root infections (AI) were not found in some plant types. Percent infection was observed highest in healthy bearing plants (92.16%) and lowest in declining plants (42.66%). This showed that the clay and clay loam soil textures with higher soil pH levels (5.40 to 5.82 pH- Table 2) favoured the percent colonization more than the sandy clay loam texture soils with lower soil pH (4.69 pH).

Table 3: VAM infection type and per cent infection and viable population and number of types of micro-organisms (mean±SE) in different types of Khasi mandarin plants.



The colonization of VAM in the roots (intracellularly) of the citrus plant influences the morphology of the root system, thereby affecting the nutrient uptake and growth and development of the plant (Wu et al., 2013) and fruit quality (Nzanza et al., 2012). The per cent colonization of 19-51% was reported to be satisfactory in citrus crops (Wu and Zou, 2010). This showed that the present study corroborated with the earlier studies and the high colonization in the roots of the healthy bearing plants no doubt had high nutrient content even though the external chemical nutrients were not added and the colonization of the VAM also depends on the land disturbances and soil pH conditions (Lingfei et al., 2005). The infection observed in the Khasi mandarin roots were usually of vesicular and hyphal types and very few arbuscular infections were observed in few plants. The main reason for the absence of arbuscules (in the root cortex) might be due to the short study period and degeneration of arbuscules within 14 days, another reason might be due to the infection of roots of non-host species, which produced intercellular hyphae and form vesicles only (Giovannetti and Sbrana, 1998).

The rhizospheric zone is the region influenced by plant roots and microbial activity and is considered to be the dynamic region of plants and microbial interaction (Kennedy and de Luna, 2004). Viable microbial population enumeration in nutrient agar (NA) media and Jensen agar media are presented in Table 3. The general viable population was highest in the disease infected plants with several types of microbes comparing among the other plant types showed that there was a competition among the microorganisms and might have invaded the beneficial type of population (Johansson et al., 2004). Similarly, the VAM symbiosis and the quantity and quality of plant root exudates in the rhizospheric zone can effectively influence the microbial structure, composition and activity to a great extent (Johansson et al., 2004).

Correlation study among different soil attributes observed in Khasi mandarin orchards
 
Chemical and biological attributes obtained were subjected to pair-wise correlations among themselves, irrespective of Khasi mandarin orchard types (Fig 3).

Fig 3: Pair-wise relationship between chemical and biological attributes in Khasi mandarin orchards [SOC- Soil organic carbon, AvlN- Available nitrogen, AvlP- Available phosphorus, MBC- Microbial biomass carbon, MBN- Microbial biomasss nitrogen, MBP- Microbial biomass phosphorus, DHA- Dehydrogenase activity, PHA- Phosphatase activity, BAS- Basal respiration, MQ- Metabolic quotient]. * Significant at r 0.05= 0.71 and **Significant at r 0.01= 0.85.



Soil pH had a positive correlation with AvlN, AvlP, MBC, MBP and PHA (P<0.05). Similar observations were reported by Paul et al., (2001), where they showed that soil pH can affect the availability of nutrient elements through microbial activity as well as the decomposition in the soil. MBC had a direct correlation with AvlN, PHA and MQ (P<0.05). MBN maintain a positive correlation with AvlN, AvlK, DHA, PHA and BAS (P<0.05) and MBP also positively correlated with AvlP (r=0.76) and PHA (r=0.74). MQ in our study negatively correlated with MBC (r= 0.79, P<0.05). It was previously reported that labile fractions and their relationships are highly dependent on the land use types, microbial biomass present and the C inputs in the rhizosphere (Haynes, 2005). DHA also had a positive correlation with PHA (r=0.82, P<0.05) and BAS (r=0.93, P<0.01) and a similar relationships were previously reported by many authors (Dilly and Nannipieri, 2001; Sangma et al., 2016).
The characteristics of the soil viz. type of soil, the nutritional status and biological and microbial activities are the factors greatly influencing the growth and development of the Khasi mandarin in the present study. Besides the soil related factors, the orchard age and altitude of the place also plays a great role in the longevity or economic lifespan of the Khasi mandarin trees in acid soils. The higher microbial biomass, enzyme activities and mycorrhizal colonization in healthy bearing Khasi mandarin orchards signifies the productivity of the soil, whereas the high metabolic quotient in the declining orchards indicated the stress related factors finally leading to the dieback condition in the Khasi mandarin trees.
The authors are thankful for the financial and the laboratory facilities provided by the ICAR Research Complex for NEH Region, Nagaland Centre, Jharnapani, Nagaland 797106.
None

  1. Anderson, T.H. and Domsch, K.H. (1990). Application of ecophysiological  quotient (qCO2 and qD) on microbial biomasses from soils of different cropping histories. Soil Biology and Biochemistry. 22: 251-255.

  2. Balota, E.L., Machineski, O. and Stenzel, N.M.C. (2011). Mycorrhizal efficiency in Acerola seedlings with different levels of phosphorus.  Brazilian Archives of Biology and Technology: an International Journal. 54(3): 457-464.

  3. Bray, R.H. and Kurtz, L.T. (1945). Determination of total, organic and available form of phosphorus in soil. Soil Science. 59: 39-45.

  4. Brookes, P.C. and Joergensen R.G. (2006). Microbial Biomass Measurements by Fumigation-Extraction. In: Microbiological  methods for assessing soil quality. [Bloem, J., Hopkins, D.W., Benedetti, A. (eds)], 77-83, CABI Publishing, Oxfordshire, UK. 

  5. Brookes, P.C., Powlson, D.S. and Jenkinson, D.S. (1982). Measurement  of microbial biomass phosphorus in soil. Soil Biology and Biochemistry. 14: 319-329.

  6. Brundett, M., Bougher, N., Dell, B., Giove, T. and Malajczuk, N. (1996). Working with mycorrhiza in forestry and agriculture. Australian Centre for International Agricultural Research Monograph 32.

  7. Bouyoucos, G.J. (1927). The hydrometer as a new method for the mechanical analysis of soils. Soil Science. 23: 343-353.

  8. Casida, L.E.J.R., Klein, D.A. and Sautoro, T. (1964). Soil dehydrogenase  activity. Soil Science. 98: 371-376.

  9. Deng S.P., Moore J.M. and Tabatabai M.A. (2000). Characterization of active nitrogen pools in soils under different cropping systems. Biology and Fertility of Soils. 32: 302-309.

  10. Dilly, O. and Nannipieri, P. (2001). Response of ATP content, respiration rate and enzyme activities in an arable and a forest soil to nutrient additions. Biology and Fertility of Soils. 34: 64-72.

  11. Duncan, D.M. (1955). Multiple range and multiple F-test. Biometric. 11: 1-42.

  12. Giovannetti, M. and Sbrana, C. (1998). Meeting a non-host: Behavior of AM fungi. Mycorrhiza. 8: 123-130. 

  13. Han, S., Chen, L., Jiang, H., Smith, B., Yang, L. and Xie, C. (2008). Boron deficiency decreases growth and photosynthesis and increases starch and hexoses in leaves of citrus seedlings. Journal of Plant Physiology. 165: 1331-1341. 

  14. Hanway, J.J. and Heidel, H. (1952). Soil analysis methods as used in Iowastate college, soil testing laboratory. Iowa State College of Agriculture Bulletin. 57: 1-31.

  15. Haynes, R.J. (2005). Labile organic matter fractions as central components of the quality of agricultural soils: an overview. Advances in Agronomy. 85: 221-268.

  16. Jackson, M.L. (1973). Soil Chemical Analysis. Prentice Hall of India (Pvt.) Ltd., New Delhi.

  17. Jenkinson, D.S. (1988). Determination of Microbial Biomass Carbon and Nitrogen in Soil. In: Advances in Nitrogen Cycling in Agricultural Systems. [Wilson, J.R. (ed)], 368-386, CAB International, Wallingford, UK.

  18. Jenkinson, D.S. and Powlson, D.S. (1976). Effects of biocidal treatments on metabolism in soil. A method to measure the soil microbial biomass. Soil Biology and Biochemistry. 8: 209-213.

  19. Johansson, J.F., Paul, L.R., Finlay, R. and Johansson J.F. (2004). Microbial interactions in the mycorrhizosphere and their significance for sustainable agriculture. FEMS Microbiology Ecology. 48: 1-13.

  20. Kennedy, A.C. and de Luna, L.Z. (2004). Rhizosphere. In: Encyclopedia  of Soils in the Environment. [Hillel, D. (ed)], 399-406, Elsevier LTD, Oxford, UK.

  21. Koske, R.E. and Gemma, J.N. (1989). A modified procedure for staining roots to detect VA mycorrhizas. Mycological Research. 92(4): 486-488.

  22. Laik, R., Kumar, K., Das, D.K. and Chaturvedi, O.P. (2009). Labile soil organic matter pools in a calciorthent after 18 years of afforestation by different plantations. Applied Soil Ecology. 42: 71-78.

  23. Lingfei, L., Anna, Y. and Zhiwei, Z. (2005). Seasonality of arbuscular mycorrhizal symbiosis and dark septate endophytes in a grassland site in southwest China. FEMS Microbiology Ecology. 54: 367-373.

  24. Nzanza, B., Marais, D. and Soundy, P. (2012). Effect of arbuscular mycorrhizal fungal inoculation and biochar amendment on growth and yield of tomato. International Journal of Agriculture and Biology. 14: 965-969.

  25. Obreza, T.A., Zekri M. and Hanlon E.A. (2008). Soil and Leaf Testing. In: SL253 - Nutrition of Florida Citrus Trees. [Abreza, T.A. and Morgan, K.T. (eds)], 24-32, Gainesville, FL: Soil and Water Science Department, IFAS, University of Florida.

  26. Pascual, J.A., Moreno, J.L., Hernández, T. and García, C. (2002). Persistence of immobilized and total urease and phosphatase  activities in a soil amended with organic wastes. Bioresource Technology. 82: 73-78.

  27. Paul, K., Black, S. and Conyers, M. (2001). Development of nitrogen mineralization gradients through surface soil depth and their influence on surface soil pH. Plant and Soil. 234: 239-246.

  28. Pell, M., Stenstrom, J. and Granhall, U. (2006). Soil Respiration. In: Microbiological Methods for Assessing Soil Quality. [Bloem,  J., Hopkins, D.W. and Benedetti, A. (eds)], 300, CABI Publishing, Oxfordshire, UK. 

  29. Sanabam, R., Singh, N.S., Handique, P.J. and Devi, H.S. (2015). Disease-free Khasi mandarin (Citrus reticulata Blanco) production using in vitro microshoot tip grafting and its assessment using DAS-ELISA and RT-RCR. Scientia Horticulturae. 189: 208-213.

  30. Sangma, C.B.K., Thakuria, D. and Biam, E.D.D. (2016). Rice Ecosystems  in Hill Agriculture: Effect on soil biological pools of carbon, nitrogen and phosphorus. Journal of the Indian Society of Soil Science. 64(4): 391-401.

  31. Subbiah, B.V. and Asija, C.L. (1956). A rapid procedure for estimation  of available nitrogen in soils. Current Science. 25: 259-260.

  32. Tabatabai, M.A. and Bremmer J.M. (1969). Use of p-nitrophenyl phosphate for assay of soil phosphatase activity. Soil Biology and Biochemistry. 1: 301-307.

  33. Waksman, S.A. (1927). Principles of Soil Microbiology. Batimore, William and Wilkins Co.

  34. Walkley, A. (1947). Critical examination of rapid method for determining organic carbon in soils: Effect of variation in digestion conditions and of inorganic soil constituents. Soil Science. 63: 251-257.

  35. Wlodarczyk, T., Stepniewski, W. and Brzezinska, M. (2002). Dehydrogenase activity, redox potential and emissions of carbon dioxide and nitrous oxide from cambisols under flooding conditions. Biology and Fertility of Soils. 36: 200-206.

  36. Wu, Q., Xia, R. and Zou, Y. (2006). Arbuscular mycorrhizal fungal growth on citrus roots and its correlations with soil available phosphorus content and phosphatase activity. Yingyong Shengtai Xuebao. 17(4): 685-689.

  37. Wu, Q.S. and Zou, Y.N. (2010). Beneficial roles of arbuscular mycorrhizas in citrus seedlings at temperature stress. Scientia Horticulturae. 125: 289-93. 

  38. Wu, Q.S., Zou, Y.N. and Huang, Y.M. (2013). The arbuscular mycorrhizal fungus Diversispora spurca ameliorates effects of waterlogging on growth, root system architecture  and antioxidant enzyme activities of citrus seedlings. Fungal Ecology. 6: 37-43. www.agricoop.nic.in (2018-19 report). 

  39. Zhang, M.R., Yu, J.H., Yu, Y.M., Ye, A.M. and Ye, Z.Y. (2007). Reducing the occurrence of huanglongbing by health cultivation. Zhejiang Citrus. 24: 28-30.

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