The periphyton biomass from coconut coir was comparatively higher (3.4995±0.31201 mg/cm
2) than the split bamboo poles (3.2011±0.30437 mg/cm
2) and coconut shell (1.6297±0.22078 mg/cm
2) during the experiment (Fig 1). The chlorophyll ‘a’ pigment recorded from coconut coir was comparatively higher (3.2949±0.27076 mg/cm
2) than the split bamboo poles (3.0062±0. 26531 mg/cm
2) and coconut shell (1.5569±0.19885 mg/cm
2) during the experiment (Fig 2).
One way ANOVA of the different data affirmed that significant difference (P<0.05) was observed in the dry matter content of the periphyton (Table 1) and chlorophyll ‘a’ pigment (Table 2) among the substrates
. As per the Duncan’s multiple range test, dry matter content of periphyton (Table 1) and chlorophyll ‘a’ pigment (Table 2) recorded for coconut coir and split bamboo poles were significantly higher (P<0.05) than coconut shell.
As per the student’s ‘t’ test analysis of the data affirmed that highly significant was observed in periphyton biomass (Table 3) and chlorophyll ‘a’ pigment (Table 4) at various depth (40, 80 and 120 cm) among all the treatments over the study period.
The mean values of periphyton biomass (mg/cm
2) observed among all the treatments for 40, 80 and 120 cm depth over the study period is given in the following descending order:
40 cm depth
[Coconut Coir (4.145) > Spit bamboo pole (3.67166) > Coconut shell (2.01583)]
80 cm depth
[Coconut Coir (3.5325) > Spit bamboo pole (3.21083) > Coconut shell (1.66)]
120 cm depth
[Coconut Coir (2.821) > Spit bamboo pole (2.72083) > Coconut shell (1.21333)]
The mean values of chlorophyll ‘a’ pigment (mg/cm
2) observed among all the treatments for 40, 80 and 120 cm depth over the study period was given in the following descending order:
40 cm depth
[Coconut Coir (4.10) > Spit bamboo pole (3.52) > Coconut shell (1.979)]
80 cm depth
[Coconut Coir (3.398) > Spit bamboo pole (2.88) > Coconut shell (1.58)]
120 cm depth
[Spit bamboo pole (2.60) > Coconut Coir (2.386) > Coconut shell (1.105)]
Student’s ‘t’ test analysis of the data relating to periphyton biomass and chlorophyll ‘a’ pigment for split bamboo pole, coconut coir and coconut shell recorded at different depths indicated that upper 0 to 40 cm depth had higher values than the other depths such as 40 to 80 and 80 to 120 cm.
In the present study, coconut coir had better surface structure for periphyton species for attachment. But,
Keshavanath et al., (2001) indicated that bamboo pole is having a better surface structure for attachment of periphyton and provide nutrients beneficial to the growth of periphyton. Several authors found that, based on the substrate type, rate of fertilization, different environment and species composition periphyton quantity is varied significantly
(Makarevich et al., 1993 and
Keshavanath et al., 2001). Keshavanath et al., (2012) made the periphyton growth comparison study and reported that the periphyton attachment was better on coconut leaf than bamboo mat, sugarcane bagasse and palm leaf.
Dutta et al., (2013) found that comparatively periphyton growth and attachment was better in palm leaf than nylon net. A positive effect of periphyton on growth of rohu was recorded using three plant substrates such as sugarcane bagasse, paddy straw and dried
Eichhornia (Wahab et al., 1999). The higher production of fish was attributed to bacterial biofilm promoted on the substrate, which forms food for zooplankton and fish. Effects of microbial biofilm production on biodegradable substrate such as sugarcane bagasse on growth of common carp, tilapia and rohu fingerlings have been evaluated by
Umesh et al., (2000) and recorded a significant increase in fish growth in pond with substrate.
Shankar et al., (1998) indicated that, the increase in growth of fish in tanks with sugar bagasse, paddy straw were largely due to the increased zooplankton density in the water. This was influenced by a phenomenal increase in biofilm on the substrate on which both zooplankton and fish grazed.
Over all, higher values of periphyton biomass (Fig 3) and chlorophyll ‘a’ pigment (Fig 4) were recorded at upper 0 to 40 cm depth than the other depths (40 to 80 and 80 to 120 cm) in all the natural substrates. Similar results were found from the findings of
Keshavanath et al., (2001), who highlighted the maximum periphytic biomass levels coinciding with photosynthetic compensation depths.
The physico-chemical water quality parameters were checked and the mean and standard deviation values are given in Table 5. In the periphyton experimental pond, there was no significant difference (P>0.05) observed in temperature, salinity, pH, BOD, nitrite and ammonia over the experimental period. But significant difference (P<0.05) was observed in secchi disk reading, dissolved oxygen, nitrate and chlorophyll ‘a’ over the experimental period (Table 5). The highest and lowest secchi disk reading was observed on 15th day (53.00±1.41cm) and final day (47.00±.00 cm). The lowest dissolved oxygen was recorded on 15
th day (5.76 ±0.22 mg/l), while it was highest in the final day (6.80± 0.34 mg/l). This shows the good sign of dissolved oxygen and provide good environment in the pond for shrimp culture. The highest and lowest level of Nitrate-N value was observed on 45th day (0.41±0.02 µg.at.NO3-N / l) and 15
th day (0.33±0.01 µg.at.NO3-N / l) of the experiment. The highest and lowest level of chlorophyll ‘a’ was observed on final day (75.25±5.89 mg/m
3) and 15
th day (40.50±9.98 mg/m
3) of the experiment. This result indicates the increment of periphyton production over the study period due to the natural substrate introduction. There is significant variations in biological oxygen demand (BOD) level among the sampling days and this manifest the differential rates of oxygen consumption over the experimental period by the organisms. Many authors proved that the BOD level was reduced in substrate installed pond compared to non substrates pond (control)
(Keshavanath et al., 2001, 2002; Dharmaraj et al., 2002; Keshavanath et al., 2004). In the present study also, the BOD level was low in the substrate installed pond compared to non substrate pond and this coincides with the findings of above said reports. ANOVA results indicated that over the experimental period, significant variations were observed in the Nitrate - N and chlorophyll ‘a’ content. Phytoplankton productivity is positively correlated with nutrient concentrations in ponds and lakes
(Boyd, 1990). In substrate treatments, higher chlorophyll ‘a’content indicates the phytoplankton production, which is the positive effect indication on plankton nutritional quality
(Azim et al., 2002).