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AGRIVITA VOLUME 35 No. 1 FEBRUARY - 2013 ISSN : 0126-0537

ARBUSCULAR FUNGI AS AN INDICATOR OF SOIL FERTILITY

Muhammad Akhid Syib’li*), Anton Muhibuddin and Syamsuddin Djauhari

Faculty of University of Brawijaya Jl. Veteran Malang 65145 East Java Indonesia *)Corresponding author phone: +62341 575843 E-mail: [email protected]

Received: November 23, 2012/ Accepted: April 25, 2013

ABSTRACT Malang Raya is located in the East Java, Indonesia, with an extent approximately Arbuscular mycorrhizal fungi (AMF) are 4,888.36 km2, and includes Malang city, Batu ubiquitous organism that forms association with city and Malang regency. Annual precipitation is the of most terrestrial plants. AMF around 1,883 mm, average temperature is association also influence soil fertility through 24.13o C, and monthly precipitation ranges from the enhancement of chemical, biological and 0-200 mm, but from January-October 2012, physical content. In this study, we enumerated monthly precipitation ranges from 20-32o C. This AMF spores from of Tithonia area has diverse soil fertility level and different difersivolia as an indicator of soil fertility. The topography from north to south. In the north, results showed that the most fertile soil had the Malang Raya has some volcanic mountains, and highest AMF spores density. This research has some Limestone Mountains in the south. These confirmed that AMF has high interaction with natural conditions cause difference in soil quality organic carbon, organic matter, total , in every region especially because the areas cation exchange capacity, water level, soil fungi near the volcanic mountains have much volcanic and soil bacteria. Partial regression analysis material which gives fertility to the soils. revealed the mathematic equation for their Therefore, research about mycorrhiza spore interaction. This equation used the abundant of number in every region related to the three AMF spores as an indicator for chemical, aspects of soil fertility interested the authors to biological and physical fertility of the soil. conduct this research. Tithonia difersivolia (Hems) Gray, commonly Keywords: fungi (AMF), known as the Paitan in Indonesia, belongs to indicator, soil fertility, Tithonia asteraceae, a shrub species and widely dis- difersivolia tributed in Malang Raya. This plant has some functions especially as green manure for INTRODUCTION agricultural plant. In addition, T. difersivolia has tight relationship with AMF and is reported that Arbuscular mycorrhiza fungi (AMF) are the degree of colonization by AMF was in critical symbionts in the association with more average 40% (Sharrock, et al., 2004). Therefore, than 80% of terrestrial plant (Smith and Read, T. difersivolia was used as material in our 1977). They are developed in the root tissue to current research. focus on their role to increase plant growth and yield. AMF (phylum ) are almost MATERIALS AND METHODS certainly the most abundant fungi in the soil (Opik et al., 2008) and also have direct effect on Study Site soil structure (Gosling et al., 2006). Many Nine study sites were selected: Sumber- studies have shown that AMF association has brantas village, Bumiaji sub-district, Batu city multiple benefits to the soil fertility through (SB) (07045’17.9”S; 112031’52.7”E), with an improving the quality of chemical, biological and altitude of 1694 m (Figure 1, No. 1). Sumber- physical aspects. This research examines the brantas village, Bumiaji sub-district, Batu city relationship between AMF spore number and (SBB) (07045’17.9”S; 112031’52.7E) with an these three fertility aspects. altitude of 1675 m (Figure 1, No. 2). Bulukerto village, Bumiaji sub-district, Batu city (BBB) Accredited SK No.: 81/DIKTI/Kep/2011 http://dx.doi.org/10.17503/Agrivita-2013-35-1-p044-053 45

Muhammad Akid Syib’li et al.: Arbuscular Mycorrhiza Fungi as an Indicator…………………………………………

(07051’14.3”S; 112032’20.5”E) with an altitude of Collection of Soil Samples 935 m asl.(Figure 1, No. 3). Pakisaji village, Soil samples in Malang Raya were Pakisaji sub-district, Malang regency (PPM) collected with cluster sampling method. Samples (08003’44.7”S; 112035’34.2”E) with an altitude of were taken from rhizosphere of T. difersivolia, 393 m asl.(Fig. 1, No.4). Palaan village, Ngajum with the depth of 30 cm from January-October sub-distrct, Malang regency (PNM) (08006’48.7”S; 2012. Each sample was replicated three times. 112033’05.3”E) with an altitude of 346 m asl.(Fig. They were placed in the plastic bag and moved 1, No. 5). Jenggolo village, Kepanjen sub-district, to the laboratory. Sub-samples from every Malang regency (JK) (08010’51.6”S; 112032’47.3” replication were used for chemical, biological E) with an altitude of 292 m asl. (Fig 1, No. 6). and physical analysis. Jenggolo village, Kepanjen sub-district, Malang regency (JKM) (08012’41.0”S; 112033’08.7”E) with Soil Chemical Analysis an altitude of 385 m asl. (Figure 1, No.7). Sempol Chemical analysis was used to investigate viallage, Pagak sub-district, Malang regency (SP) pH, organic carbon, organic matter, total (08016’01.3”S; 112030’01.0”E) with an altitude of phosphorus and cation exchange capacity 446 m asl.(Fig.1, No. 8). Sempol village, Pagak (CEC). pH was calculated in water (1:5), organic sub-district, Malang regency (SPM) (08016’36.9”S; carbon and material was measured with Walkey 112029’44.4”E) with an altitude of 426 m asl. and Black method (Walkey and Black, 1934), (Figure 1, No. 9). total phosphorus was assessed with Olsen method using NaHCO3 pH 8,5 (Olsen et al., 1954) and CEC was assessed with kjeldahl method (Chamuah and Dey, 1982).

Remarks: 1, 2, 3, 4, 5, 6, 7, 8 and 9 represent SB, SBB, BBB, PPM, PNM, JK, JKM, SP, SPM, respectively

Figure 1. Study site in Sumberbrantas village, Bumiaji sub-district, Batu city

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Muhammad Akid Syib’li et al.: Arbuscular Mycorrhiza Fungi as an Indicator…………………………………………

Soil Biological Analysis Statistical Analysis Dilution plate method was used to The data was analyzed by ANOVA, partial calculate the abundance of fungi and bacteria regression and correlation of soil aspect as a (Waksman, 1922). Sub-sample was diluted up to dependent variable with AMF as an independent 10-5 and 10-9 for fungi and bacteria analysis, variable. Significant F-tests (P < 0.05) were respectively. Diluted suspension was plate used for testing differences. All analysis was spread on the potato dextrose agar (PDA) and measured using statistical program SPSS. natrium agar (NA) medium for fungi and bacteria, respectively. PDA was added with RESULTS AND DISCUSSION chlorampenicol (250 mg/liter) before autoclaving to inhibit bacterial growth. Soil Chemical Content Based on AMF Spore The cultures were incubated at 23o C in the Number laboratory. The number of colonies/ colony forming AMF spore number was not significantly unit (cfu) was enumerated after 7 days and 48 correlated with pH variable (Table 1), the pH hours for fungi and bacteria, respectively. value decreased with the increase of AMF spore The abundance of soil fungi and bacteria numbers (Y = 6.745 – 0.003X; R2 = 0.051). We was calculated to find out the estimation of total assumed that pH value from sample 1-9 ranging number of cfu per gram soil (Pepper and Gerba, from 6.2-7.4 (data not shown) still remained in 2004). This calculation was performed by the the normal value and did not give significant formula: influence for AMF development in the soil.

Table 1. Pearson’s correlation coefficient (r) of AMF spore number with soil chemical 1 퐴 = 푛 × 퐶 content. Correlation coefficients in bold Where:10 A : number of cfu, indicate significance at P < 0.05 (df = 8) n : dilution factor Soil Chemical Correlation coefficients (r) C : number of colonies on Petri dish Content with AMF

pH -0.227 Soil Physical Analysis Organic Carbon 0.738 Physical analysis was used to find out Organic Matter 0.737 aggregate stability and water level of the soil. Total Phosphorus 0.788 Aggregate stability and water level of the soil Cation Exchange 0.732 were measured with wet sieving and gravimetric Capacity (CEC) water content method, respectively (Frei et al., 2003; McKenzie and Dexter, 1987). Wang et al. (1993) conducted AMF re- search in the various pH value condition and Extraction of AMF spores concluded that AMF developed the optimum Spores were extracted from 10g air-dried number of spores in the pH value ranging from soil from every sample by wet sieving and 5.5-7.5. Our present study is also in accordance decanting method (Muhibuddin et al., 2007). with Van Noordwijk and Hairiah (1986) who AMF Spores were collected on a filter paper and observed AMF in the forest of northern Sumatra, calculated using hand counter under microscope it showed that AMF infection in root of mixed observation (40-time magnification). vegetation was negatively correlated with soil pH.

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AMF contributed to soil chemical fertility phorus, the increase of total phosphorus value directly and indirectly. According to regression was followed by the increase of AMF spore analysis and curves in Figure 2. AMF were number (Y = 224.858 + 9.776X; R2 = 0.62). positively and significantly correlated with Harrison et al. (2010) confirmed that AMF organic carbon, organic matter, total phosphorus transported phosphorus (P) to plant in and CEC. The mathematic equation revealed the highest quantities compared with other that the value of organic carbon increased with . Therefore, it concluded that AMF had increasing AMF spore number (Y = 1.476 + very close relationship with P nutrient. Bell et al. 0.041X; R2 = 0.544). This data confirmed that (1989) stated that AMF colonization increased organic carbon had very close relationship with significantly as P rate increased from 0-30 AMF, so we can predict its value through AMF kg/ha,and no more significant increase following. spore number. This shows that in the certain value of P Cardoso and Kuyper (2006) reported that concentration AMF would increase, but in the AMF is playing role in the carbon cycling, more value of P concentration, it could reduce consequently increasing AMF will increase AMF. Grant et al. (2005) supported this statement carbon flow into soil. Interaction between host and stated that AMF decreased with plant and AMF indirectly affect soil carbon increasing tissue P concentration. Therefore in the storage (Zhu and Miller, 2003) especially high P level in the soil, probably it could increase because carbon flow from host to AMF can lose or decrease AMF association depending on the into up to 70% as organic certain quantity of P concentration. carbon and CO2 (Jakobsen and Rosendahl, Additionally, AMF also contributed to 1990). In addition, AMF also produce make P nutrient in the soil available for plant by which can store soil carbon (Driver et al., 2005). producing phosphatase enzyme (Kojima et al., It represents considerable amount about 4 - 5% 1998). AMF hyphae absorbed the available P, of total soil carbon, higher than contribution of when other hyphae were still hydrolyzing P microbial biomass carbon only ranging from 0.08 nutrient in the soil. Hence, during the uptake – 0.2 % (Rillig et al., 2001). Therefore, not only process much P nutrient became available for AMF participate actively in the carbon cycling plant. Furthermore, AMF were ready to absorb but also in the soil carbon storage. and transport P nutrient into the host plant, so Figure 2 shows that the value of organic AMF received the carbon from plant for matter increased as proportionally as the proliferation. increase in AMF spore number (Y = 2.552 + AMF can explain cation exchange 0.071X; R2 = 0.543). Ramos et al. (1993) also capacity (CEC) in the soil. We revealed that reported in their research that AMF colonization CEC increased with the increase of AMF spore was positively correlated with number (Y = 28.801 + 0.187X; R2 = 0.535). CEC in native corn plant. Organic matter improves all value described the level of the maximum aspects in the soil (chemical, biological and quantity of total cation in the soil. The increase physical), therefore its availability is critical. AMF of CEC is strongly influenced by material organic and organic matter are two component that (Lax et al., 1986). For that reason, AMF, which always influence each other. According to Gude had very close interaction with organic matter (r et al. (2012) fresh organic input drives soil = 0.738) (Table 1 ; Figure 2), indirectly explains organic matter dynamic. This material stimulated the CEC value. Beside, the involvement of AMF in a higher amount of fungal and bacteria in the decomposing process was absolutely to biomass in decomposing the material (Vaidya et improve CEC in the soil. CEC showed the al., 2007). Through this process, nutrient can be available soil nutrient value for plant growth. As available (carbon, and ) for we know AMF can absorb and transport cation plant and organism in the soil ecosystem. As we into plant in much more quantities (Carpio et al., know that nutrient can be used by AMF to 2009). We presumed in that process AMF could develop together with host plant, then we can lose the cation and release it in mycorhizos- find organic matter quantity using this AMF phere like carbon cases. spore number. Our research also revealed the equation for relationship between AMF with total phos- 48

Muhammad Akid Syib’li et al.: Arbuscular Mycorrhiza Fungi as an Indicator…………………………………………

Y = 1.476 + 0.041X Y = 224.858 + 9.776X R2 = 0.544 R2 = 0.62

P < 0.05 P < 0.05 s s

Total Phosphoru

Organic Carbon

AMF Spore Number AMF Spore Number

Y = 28.801 + 0.187X Y = 2.552 + 0.071X R2 = 0.535 2 R = 0.543 P < 0.05 P < 0.05

OrganicMatter

Cation Capacity Exchange

AMF Spore Number AMF Spore Number

pH Y = 6.745 – 0.003X R2 = 0.051 P > 0.05

AMF Spore Number Figure 2. Regression analysis and curves of AMF spore number with soil chemical fertility

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Muhammad Akid Syib’li et al.: Arbuscular Mycorrhiza Fungi as an Indicator…………………………………………

Soil Biological Content based on AMF Spore and notably nitrogen-fixing bacteria. In the Number mutualistic interaction, AMF showed its ability to AMF indicated positively were correlated work together with Azospirillum, Pseudomonas with fungi and bacteria in the soil (Table 2). The and Trichoderma. The result revealed that none abundance of fungi (Y = 605871925. + of this microbes disturbed AMF establishment. 21069.460X; R2 = 0.446) and bacteria (Y = In fact, enzyme that was produced by these 1.274E10+ 2.970E8X; R2 = 0.483) increased three microorganisms increased the abundance with the increase of AMF spore number. Based of AMF (Vazquez et al., 2000). Another study on this data, we estimated that AMF association confirmed the relationship between AMF and promoted the abundance of fungi and bacteria in Plant growth promoting rhizobacteria (PGPR). the soil. PGPR are among soil bacteria that can stimulate AMF to develop and colonize the root. This bacteria also work simultaneously with AMF r) of Table 2. Pearson’s correlation coefficient ( in enhancing crop yield (Miransari, 2011). In AMF spore number with soil biological fact, in the mycorrhizosphere were found more content. Correlation coefficients in bold bacterial species than in the rhizosphere. This indicate significance at P < 0.05 (df = 8) result indicated that natural from root Soil Biological Correlation coefficients colonized by AMF, probably has potential and Content (r) with AMF contributed in the composition and proliferation Fungi 0.668 of rhizobacteria (Andrade et al., 1997). Even Bacteria 0.695 some scientists were tempted to speculate that chemical compounds produced from colonized Our observation was supported by Fitter root by AMF had a wider biological implication in and Garbaye (1993) that AMF can modify its the soil (Garcia-Garrido et al., 2009). interaction with other organisms in the soil, such as root-inhabiting nematodes and fungi, mutualists

Y = 605871.925 + 21069.460X Y = 1.274E10+ 2.970E8X R2 = 0.446 R2 = 0.483 P < 0.05 P < 0.05

Fungi

Bacteria

AMF Spore Number AMF Spore Number

Figure. 3 Regression analysis and curves of AMF spore number with soil biological content

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Muhammad Akid Syib’li et al.: Arbuscular Mycorrhiza Fungi as an Indicator…………………………………………

Soil physical content based on AMF spore seems to support the conclusion of Bao-hua et number al. (2007) where soil organic matter enhanced The result of our analysis has revealed soil water contents in their study conducted in the correlation between AMF and soil physical the forests on east slope of Gongga Mountain. content. It indicated significance only for water Because AMF were significantly correlated with level variable but not for organic matter, AMF explained water level in the variable (Table 3). Water level increased with soil. increasing AMF spore number (Y = 0.402+ Additionally, we also assumed that there 0.001X; R2 = 0.734), while soil aggregate were other factors influencing the soil aggregate stability decreased with the increase of AMF stability. We understood that, in this case, we spore number (Y = 2.376-0.012X; R2 = 0.118. have difficulties to explain the correlation because of data limitation. To measure more Table 3. Pearson’s correlation coefficient (r) of aggregate stability, we need to consider the AMF spore number with soil biological vegetation type (root system) (Fattet et al., content. Correlation coefficients in bold 2011), organic matter (Alago and Yilmaz, 2009) indicate significance at P < 0.05 (df = 8) and AMF (Hoorman et al., 2009).

Soil Physical Correlation coefficients Arbuscular Mycorrhiza Fungi as an Indicator Content (r) with AMF of Soil Fertility Water Level 0.857 Soil Aggregate Stability -0.343 Soil fertility is the potential of agricultural (DMR) site to give chemical, biological and physical requirement for plant productivity, reproduction AMF association caused soil aggregate to and quality. (Havlin et al., 2005; Abbott and become more stable because fungi and root Murphy, 2007). These three aspects illustrated plant can organize and bring microaggregates extreme diversity and complexity in the soil altogether.(Hormon et al., 2009). This result is in system (Lavelle and Spain, 2001). Researchers contrast with our data observation that AMF did worldwide tried many ways to get the not significantly influence the aggregate stability. explanation about this. Hence, one of its However, our result is more similar to the study approaches has been used as an indicator. by Martin et al. (2012) where aggregate stability According to Heink and Kowarik (2010), was not affected by AMF, but by the presence of indicator in ecological perspective could be . defined as a component of environmentally relevant phenomena used for evaluating environmental conditions. Then, to select this Table 4. Pearson’s correlation coefficient (r) of component as an indicator, we need to consider organic matter with water level. some requirements. Dale and Bayeler (2001) Correlation coefficients in bold indicate stated that basic criteria for indicator selection, significance at P < 0.05 (df = 8) such as easy measurement, sensitivity to environ- Soil Physical Correlation coefficients mental stress, integration: the component could Content (r) with Organic Matter measure the key point in the ecological system Water Level 0.725 (e.g. soils, vegetation types, temperature , etc.). Arbuccular mycorrhizal fungi (AMF) as component Table 4 shows that AMF were significantly in the soil system were absolutely appropriate with correlated with water level. We predicted this the criteria of ecological indicator. In this case, it result as an indirect influence. Through organic was to be used to examine soil fertility. matter AMF influenced water level. This result

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Muhammad Akid Syib’li et al.: Arbuscular Mycorrhiza Fungi as an Indicator…………………………………………

Y = 2.376-0.012X R2 = 0.118 P > 0.05

Y = 0.402+ 0.001X Water Level R2 = 0.734 P < 0.05

Soil Stability Aggregate (DMR)

AMF Spore Number AMF Spore Number

Figure 4. Regression analysis and curves of AMF spore number with soil physical content

It was concluded that AMF had strong in the soil from land area. Advanced study to correlation with chemical, biological and physical understand system in the soil related to its fertility aspect of soil fertility. This explains how the AMF is required. indicates soil fertility condition. The alteration for every soil fertility variable could change the AMF CONCLUSIONS spore number. Mäder et al. (2000) stated that The results of the study indicate that colonized root by AMF was significantly higher in arbuscular mycorrhizal fungi (AMF) had positive the low input field (organic, biological) (30-60%) correlation with chemical, biological and physical than that in the high input field (conventional). This aspect of soil fertility. This emphasizes that AMF research also explains that AMF was not only can become an indicator of soil fertility. Our study influenced by chemical nutrients but also biological has also revealed the equation can estimate the and physical aspect. Related to indicator of soil quantity for most fertility aspects, except for pH fertility, we used reverse logic to use AMF as an and aggregate stability. Therefore, the abundance indicator. When the AMF spore number changed, of AMF spore can be used as estimation for soil there must have been a change in the aspect of fertility. soil fertility. According to Turnhout et al. (2007), eco- REFERENCES logical indicator concept can be constructed with Abbott, L.K. and D.V. Murphy. 2007., What is Soil data selection, parameter integration and criteria Biological Fertility? In L. K. Abbott, and D. aggregation in order to decide the ecological V. Murph (Eds.). Soil biological fertility-a quality. The number of AMF spore data revealed key to sustainable land use in agriculture. for the quantity of soil fertility through the Springer. mathematic equation. Then, the fertile soil Alago, Z. and E. Yilmaz. 2009. Effects of different parameter is expected to be able to help scientist sources of organic matter on soil determine in which criteria the quantity of soil aggregate formation and stability: A chemical, biological and phisical fertility can be laboratory study on a Lithic Rhodoxeralf involved. Through this criteria, we can decide for from Turkey. Soil & Tillage Research , the quality of soil fertility. In general, AMF spore 103, 419-424. number can be used to indicate soil quality. Andrade, G., Mihara, K. L., Linderman, R. G., and Our analysis formulated the mathematic G.J. Bethlenfalvay. 1997. Bacteria from equation to estimate soil fertility condition. This rhizosphere and hyphosphere soils of mathematic equation is not perfect after all. different arbuscular mycorrhizal fungi. However, we can use it to estimate soil fertility Plant and Soil , 192: 71-79. condition through input data of AMF spore number 52

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