Loading [MathJax]/jax/output/SVG/fonts/TeX/fontdata.js
Skip to main content
null
Bulletin of the EAFP
  • Menu
  • Articles
    • Case study
    • Expert Opinion
    • Method
    • Note
    • Research article
    • Review
    • Workshop Report
    • All
  • For Authors
  • Editorial Board
  • About
  • Issues
  • search

RSS Feed

Enter the URL below into your favorite RSS reader.

http://localhost:9521/feed
Research article
Vol. 43, Issue 2, 2023May 26, 2023 CEST

Lime application to condition soil to pH 11 controls growth of harmful vibrios and WSSV

E.A. Tendencia, E.B. Coniza,
Hydrated limesoil pHVibriosWSSV
Copyright Logoccby-4.0 • https://doi.org/10.48045/001c.74917
Photo by Lance Anderson on Unsplash
Bulletin of the EAFP
Tendencia, E.A., and E.B. Coniza. 2023. “Lime Application to Condition Soil to pH 11 Controls Growth of Harmful Vibrios and WSSV.” Bulletin of the European Association of Fish Pathologists 43 (2): 62–72. https:/​/​doi.org/​10.48045/​001c.74917.
Save article as...▾
Download all (2)
  • Figure 1. Averages (n=3) of the wet soil pH and bacterial flora (log 10) of soil samples at day 0 (before liming), day 1-8 (during liming) and after flushing (AF). Parameter with the same letter are not significantly different (P>0.05).
    Download
  • Figure 2. Averages (n=3) of the observed parameters before lime application (BL), average of the 8 days lime was allowed to stay in pond (LA) and after flushing (AF).
    Download

Sorry, something went wrong. Please try again.

If this problem reoccurs, please contact Scholastica Support

Error message:

undefined

View more stats

Abstract

Shrimp farming has been devastated by several diseases. Disease outbreaks can be prevented by optimising environmental conditions or by eliminating risks factors including carrier organisms. These can be achieved through proper pond preparation. One important step in pond preparation is the application of hydrated lime.

This paper describes the effect of hydrated lime application to condition pond soil to pH 11 on the pond ecosystem, more specifically on soil pH and biota. The experiment was done using three 600 m2 brackish water ponds. After hydrated lime application, the wet soil pH on the 1st-8th day was significantly higher (P<0.05) compared to the pH before liming to pH 11, and flushing after flooding for 24 h. Soil pH of 11 was observed 24-48h after lime application. Moreover, unwanted species like crabs and fish were found dead. Liming to pH 11 negatively affects the counts of green vibrio colonies thereby decreasing the percentage of green vibrios (PGV). In another experiment, three 750m2 earthen ponds were used. The pond soils were previously positive for the Whitespot Syndrome Virus (WSSV), hydrated lime were applied to bring the pond soil pH to 11. After lime application, WSSV was not detected in the pond soils.

Results showed that increasing the soil pH to ≥11 positively affects the pond ecosystem. Liming encourages the proliferation of yellow vibrios and the eradication of carrier species (i.e. crabs) as well as predators (i.e. fish) in the ponds. Furthermore, liming to pH 11 may also eradicate White spot virus from the pond sediment. To implement a 1-unit increase in wet pH, hydrated lime should be applied at 2T/ha.

INTRODUCTION

Shrimp farming has been devastated by several diseases. More shrimp diseases are emerging and re-emerging. Disease outbreaks can be avoided by making the shrimp tolerant to pathogens and by minimising stress. Stressful conditions can be prevented by optimising environmental conditions or by eliminating risks factors including carrier organisms (Tendencia, 2012). Pond soil is an important reservoir for pathogens which attack the cultured organism when stressed due to poor environmental conditions. Proper pond preparation is one way to optimise environmental conditions and eliminate pathogens in the soil. One important step in pond preparation is hydrated lime application.

Hydrated lime (calcium hydroxide, or Ca(OH)2) is a dry powder made from limestone. It is created by adding water to quick lime in order to turn oxides into hydroxides. Hydrated lime is applied in the pond to neutralise or increase soil pH, improve liberation of bases, biological activity, oxygen decomposition, to remove turbidity and as a disinfectant or to treat diseases (Chowdhury and Rhaman 2012). Application of 3-5tons/ha hydrated lime increases soil pH to 11 and kills most organisms (Boyd 2012). At pH 11, WSSV becomes non-infectious after 10 min exposure and white spot syndrome virus (WSSV) is killed within 3 h (Chang, Chen, and Wang 1998). WSSV capsids are degraded at pH 11 (Chen et al. 2012). Lime is also effective in controlling snails which are intermediate hosts of trematodes (Mitchell et al. 2007). Lime application has been reported to treat acanthocephaliasis and the epizootic ulcerative disease of fish (Huang et al. 1989; Das and Das 1993). Heterotrophic, ammonifying, denitrifying, cellulose decomposing and phosphate solubilising bacteria in the soil are drastically reduced after lime application at 1-2 tons/ha (Ganguly, Chatterjee, and Jana 2000).

In spite of the wide spread use of lime and several reports on its efficiency against some pathogens, there is limited information on its effect on pond bacterial flora. This paper describes the effect of hydrated lime applied at 5tons/ha followed by 7 tons/ ha on soil wet/dry pH and bacterial flora of brackishwater earthen ponds.

MATERIALS AND METHODS

Pond Site and Preparation

Two experiments were conducted. In the first experiment, three 600 m2 earthen ponds were used. The ponds were drained and allowed to dry for two weeks; however, the pond bed remained wet due to intermittent rain. Ponds were applied with hydrated lime at 5 tons/ha followed by another 7 tons/ ha after 24 h. The second application was done to attain the target pH of 11 which was not attained during the first application. Lime was allowed to stay in the ponds for 8 days. On the 8th day, after soil sample collection, the pond was flooded up to 50 cm water depth. Water was flushed out after 48 h.

The second experiment was conducted to determine the effect of lime application to soil pH 11 on WSSV. Three 750 m2 earthen ponds were used. WSSV positive shrimp were harvested from the ponds prior to the experiment. The ponds were drained and allowed to dry for two weeks; but due to intermittent rain, pond bottom remained wet. Lime was applied to the 3 ponds at 12T per hectare.

Soil Sampling and Analysis

Experiment 1

Soil samples were taken from the 3 ponds before hydrated lime application, daily until the 8th day before flooding and on the 10th day after water was flushed out. Soil samples were collected from the upper 6-10 cm of the pond bottom in an S type order from nine stations in each pond; a total of approximately 1kg were collected from each pond. The nine samples from each pond were thoroughly mixed before analysis. A portion of the soil samples were immediately processed for soil bacterial count and wet pH measurement. Remaining soil samples were air dried, sieved and analysed for dry pH, organic matter content, available sulfate, available iron and available phosphorus.

Wet and dry soil pH’s were measured using a pH meter (Takemura brand, Model DM-13). Available phosphorus was measured using Olsen’s method, available sulfate by turbidimetry, and available iron by colorimetry. Organic matter content was measured using the method described by Walkley and Black (1934).

The amount of lime needed to observe an increase in the wet soil pH by 1 unit (X) was computed using the following formula:

X=amount of lime appliedpH after lime application−pH before lime application

Soil Bacteria Count

Soil samples (1 g/sample) were homogenised in 9 mL sterile sea water (SSW) and serially diluted. Diluted samples (0.1mL) were plated onto nutrient agar (NA, Merck), Thiosulfate Citrate Bilesalt Sucrose Agar (TCBS, Pronadisa), Pikovskya agar (PA, Difco) and Jensen’s agar medium (JA, Difco) in duplicates. NA and TCBS plates were incubated for 24h at room temperature; PA and JA for 48h. Total bacterial count was counted on NA after incubation; luminous bacteria were observed and counted in a dark room. Phosphate solubilising bacteria were counted on PA; nitrogen fixing bacteria were counted on JA. Vibrios were counted on TCBS, a selective medium for Vibrios. No further tests were done to identify the Vibrios that grew on TCBS. Vibrios that grow yellow colonies (YV) and those that grow green colonies (GV) were separately counted on TCBS. Presumptive Vibrio count (PVC) is the sum of YV and GV. Percentage green Vibrios was computed using the following formula:

Percentage green vibrios (PGV) =green Vibrio (GV)Total Vibrio count (TVC)∗100

Statistical analysis

Bacterial counts were log transformed before analysis. Gathered data were analysed using SPSS V. 16. One-way ANOVA was used to determine any difference in the data gathered. Duncan’s multiple range tests was used to compare means. Pearson’s Correlation analysis was used to determine the correlation between the gathered data.

Data were analysed 2 ways. First, data gathered from Day 0 before lime application, daily after lime application until the 8th day lime was allowed to stay in the pond and on the 10th day after flushing were analysed to determine temporal changes in the bacterial flora. Averages of the measured parameters during the 8 days lime was allowed to stay in the pond was computed and used in the second analysis. The second analysis was done to determine if liming and flushing after liming affects pond soil microbiota. Data used in the last analysis are those gathered before lime application, averages of the replicates during days lime was allowed to stay in the pond and Day 10 after flushing.

Experiment 2

Soil pH of the three 750sqm ponds were measured before and 24h after lime application. Soil samples were analyzed for WSSV detection before and 24h after lime application using qPCR. Optimized protocol for duplex qPCR TaqMan Assay for WSSV and IHHNV was used to detect the presence of WSSV (Tendencia EA, unpublished Terminal Report). Briefly, DNA was extracted from the soil samples using NucleoSpin® Soil kit (Macherey-Nagel). Duplex qPCR TaqMan Assay for WSSV and IHHNV was performed using a 20uL reaction mixture consisting of 1X TaqMan Multiplex Master Mix, 0.2 uM WSSVq primers (WSSVqF 5’-TGGTCCC GTCC TCATCTCAG-3’ and WSSVqR 5’-GCTGCCTTGCCGGAAATTA-3’), 0.2 uM IHHNVq primers (IHHNVqF 5’-TAC TCC GGA CAC CCA ACC A-3’, IHHNVqR 5’-GGC TCT GGC AGC AAA GGT AA-3’), 0.25 uM WSSVq Probe (6-FAM 5’-AGCCATGAAGAATG CCGTCT ATCACACA-3’ TAMRA), 0.25 uM IHHNVq Probe (VIC 5’-CCAGACATAGA GCTACAAT CCTC GCCT AT TTG -3’ TAMRA) and 10 - 100ng DNA template. PCR thermal cycle was performed using Rotor-GeneTM 6000 with the following program: 95 °C for 10 minutes and 55 cycles of 95 °C for 15 seconds and 60 °C for 60 seconds. Quantification of WSSV was done using reading at green channel.

RESULTS

Average soil pH in the three 600sqm ponds before the first lime application was 6; the pH increased to 8.42 24h after lime application at 5T/ha.. The pH increased from 8.42 to 11.88 24h after the second lime application at 7T/ha. In the first application, the computed amount of lime needed to observe an increase in wet pH by 1 unit is 2.06T/ha; 2.02T/ha in the second application.

Significant differences (P<0.01) were observed in the wet pH, and the soil bacterial flora except for luminous bacteria in samples taken before liming, daily, and during the 8 days lime was allowed to stay in the pond and on 10th day after flushing (Table 1). Significantly higher (P≤0.05) soil wet pH (10.58-11.88) was observed during liming from Day 1 to Day 8 compared to pH before second liming (8.42) and after flushing (7.82) (Figure 1). Soil pH significantly increased 24h after lime application and remained high until the pond was filled with rainwater in the evening of the 2nd and 7th day; and after flooding and flushing on the 10th day. Wet pH before liming and after flushing were not significantly different (P>0.05). During the 8-day liming period, fluctuating counts were observed for TPC, PVC, YV, and GV. YV gradually increased from day 6 to day 8; while, GV gradually decreased from the 5th day (Figure 1). Consequently, PGV decreased from day 6 to day 8 and was significantly lower at AF than at BL.

Table 1.ANOVA table of observed bacterial flora and wet pH before lime application, during the 8 days lime was allowed to stay in the pond lime and after flushing.
Sum of Squares df Mean Square F Sig.
wet_pH 50.310 9 5.590 21.040 .000
TPC 18.709 9 2.079 9.769 .000
LB 4.085 9 .454 1.000 .471
YV 32.770 9 3.641 5.083 .001
GV 27.926 9 3.103 5.203 .001
PVC 34.237 9 3.804 7.739 .000
PGV 3.694 9 .410 4.594 .002
NFB 19.407 9 2.156 8.860 .000
PSB 22.461 9 2.496 5.558 .001

TPC= Total bacterial count; LBC= Luminus Bacterial Count; YV= yellow Vibrios; GV= Green Vibrios; PVC= Presumptive Vibrio Count; PGV= Percentage Green Vibrios; NFB= Nitrogen Fixing Bacteria; PSB= Phosphate Solubilizing Bacteria

Figure 1
Figure 1.Averages (n=3) of the wet soil pH and bacterial flora (log 10) of soil samples at day 0 (before liming), day 1-8 (during liming) and after flushing (AF). Parameter with the same letter are not significantly different (P>0.05).

TPC= Total Bacterial Count; YV= Yellow Vibrios; GV= Green Vibrios; PGV= Percentage Green Vibrios

Dry pH, iron and organic matter contents were not significantly different in samples taken before lime application (BL), during lime application (LA, average of the measurements of samples taken during the 8 days lime was allowed to stay in the pond), and after flushing (AF) (Table 2). Significantly higher wet pH, PSB, and NFB were observed at LA than at BL and AF; YV significantly low at LA (Figure 2). GV and PGV were significantly lower at LA than at BL, lowest was observed at AF. AP was significantly low at AF; while AS, was significantly high.

Table 2.ANOVA table of observed soil parameters before lime application, averages of parameters observed while lime was allowed to stay in the pond and after flushing.
Sum of Squares df Mean Square F Sig.
Wet pH 19.935 2 9.968 76.913 .000
Dry pH .004 2 .002 .162 .854
TPC 2.791 2 1.396 30.075 .001
YV 8.022 2 4.011 14.171 .005
GV 6.603 2 3.302 50.245 .000
PVC 4.484 2 2.242 8.570 .017
PGV .684 2 .342 30.700 .001
NFB 4.898 2 2.449 11.669 .009
PSB 3.093 2 1.547 16.558 .004
AP 354.885 2 177.443 16.228 .004
AS 361165.722 2 180582.861 45.461 .000
Iron 16537.539 2 8268.770 .771 .503
OM .900 2 .450 1.561 .285

TPC=Total Bacterial Count; YV= Yellow Vibrios; GV= Green Vibrios; PVC= Presumptive Vibrio Count; PGV= Percentage Green Vibrios; NFB= Nitrogen Fixing Bacteria; PSB= Phosphate Solubilizing Bacteria; AP= Available Phosphorus; AS= Available Sulfate; OM= Organic Matter

Figure 2
Figure 2.Averages (n=3) of the observed parameters before lime application (BL), average of the 8 days lime was allowed to stay in pond (LA) and after flushing (AF).

Parameters with the same letter are not significantly different (P>0.05).

1=wet pH
2=dry pH
3=total plate count (TPC); log 10 of count
4= luminous bacterial count ( LB); log 10 of count
5= yellow vibrios (YV); log 10 of count
6= green vibrios (GV); log 10 of count
7= percent green vibrios (PGV); percentage divided by 10
8= phosphate solubilizing bacteria (PSB), log 10 of count
9= nitrogen fixing bacteria (NFB); log 10 of count
10= organic matter content (OM); percentage divided by 10
11= available phosphate (AP); ppm divided by 10
12=available sulphate (AS); ppm divided by 1000
13=iron (Fe); ppm divided by 100

Wet pH was negatively correlated with TPC. YV and PVC (P<0.01); positively with AP (P<0.05) (Table 3). PGV is positively correlated with GV; PSB with NFB and OM. AP is positively correlated with wet pH and PGV; negatively with TPC, YV and PVC.

Table 3.Correlation matrix of different soil parameters before lime application, average of the 8 days lime was allowed to stay in the pond lime and after flushing
wpH dpH TPC LB YV GV PVC PGV AP AS Fe OM PSB NFB
wpH 1
dpH .11 1
TPC -.90 ** -.06 1
LB -.02 -.4 .05 1
YV -.93** -.3 .79* .07 1
GV .08 -.03 -.38 .24 .00 1
PVC -.87** -.35 .7* .06 .94** -.12 1
PGV .31 .02 -.51 .23 -.22 .96** -.34 1
AP .78* .04 -.85** .16 -.78* .58 -.76 * .72* 1
AS -.47 .02 .67 -.22 .3 -.88** .38 -.94** -.74* 1
Fe .32 -.58 -.16 .22 -.2 -.52 -.01 -.45 .007 .27 1
OM -.11 -.06 -.27 -.06 .082 .62 .14 .46 .31 -.38 -.5 1
PSB -.26 -.13 -.03 .55 .238 .79* .19 .65 .30 -.50 -.49 .71 * 1
NFB -.58 .06 .42 .59 .524 .48 .46 .31 -.13 -.18 -.42 .23 .76* 1

** Correlation is significant at the 0.01 level (2-tailed).
* Correlation is significant at the 0.05 level (2-tailed).
TPC=Total Bacterial Count; LB= Luminous Bacteria; YV= Yellow Vibrios; GV= Green Vibrios; PVC= Presumptive Vibrio Count; PGV= Percentage Green Vibrios; AP= Available Phosphorus; AS= Available Sulfate; Fe= Iron; OM= Organic Matter; NFB= Nitrogen Fixing Bacteria; PSB= Phosphate Solubilizing Bacteria;

Dead shrimp, crabs and fish were already observed on the first 2 days after lime application.

In experiment 2, pond soil pH before liming was 6; the pH increased to 11, 24 h after lime application. WSSV was detected from the soil of the 3 ponds at an average of 3.66 x 104 copies/g soil; the virus was not detected from the soil 24h after lime application.

DISCUSSION

The present study found that hydrated lime application at 5 tons/ha did not increase the pond soil pH to 11 after 24h. This is contrary to the report that application of 3-5tons/ha hydrated lime could increase soil pH to 11 (Boyd 2012). Previous reports did not specify the initial pH that will give a pH 11 after lime application and whether it is wet or dry pH. We found in this study that 2T/ha of hydrated lime are required to see a one unit increase in wet pH.; lime application does not affect dry pH. An increase in pH can be observed 24h after hydrated lime application and may remain high unless diluted.

Results of the study showed that lime application to increase the soil pH to 11 did not kill the natural flora of the soil. Although, growth of the heterotrophic bacteria (TPC) decreased after lime application or with an increase in pH, the count increased after flushing. The decrease in the heterotrophic bacteria after lime application is consistent with Ganguly, Chatterjee, and Jana (2000). Heterotrophic bacteria include all kinds of bacteria both harmful and beneficial. In the present study, it is possible that the heterotrophic bacteria after flushing are the beneficial ones as shown by the positive correlation between the heterotrophic bacteria and the yellow vibrios and in the increase in the yellow Vibrios and decrease in the percentage green vibrios. Yellow vibrios (YV) belong to the heterotrophic bacteria reported to use nitrogen in the water for cell growth and reproduction (Zehr and Ward 2002). Most vibrios that are beneficial or have probiotic effect belong to the yellow vibrios, while most of the harmful vibrios produce green colonies on TCBS. The probiotic effect of V. alginolyticus, a yellow Vibrio, against WSSV has been demonstrated by Sharma et al. (2010). Furthermore, lower percentage of green vibrios (PGV) has been reported to be a protective factor against some diseases like the luminous bacterial disease and WSSV (Tendencia and Verreth 2011).

The reduction in the counts of the nitrogen fixing bacteria and the phosphate solubilizing bacteria during lime application and after flushing is consistent with a previous report that ammonifying, denitrifying, and phosphate solubilizing bacteria in the soil are drastically reduced after lime application at 1-2 tons/ha (Ganguly, Chatterjee, and Jana 2000). The decrease in the phosphate solubilizing bacteria explains for the reduced available phosphate after flushing. Phosphate solubilizing bacteria enhances the availability of phosphate through the solubilization and mineralization of organic and inorganic phosphorus in the soil (Khan et al., 2009). The reduced counts for the nitrogen fixing bacteria after flushing could be attributed to the increase in the yellow vibrios. As previously mentioned, the yellow vibrios use nitrogen in the water for cell growth and reproduction. Liming increases microbial activity resulting in the increased mineralization of organic matter (Fuentes et al. 2006). This accounts for the increase in available sulfate after flushing. The present result is in accordance with Valeur and Nilsson (1993) who reported higher organic S in limed than in unlimed humus, incubated in an open system; and highest microbial activity in the former.

The non-detection of WSSV in soil after lime application to pH 11 is in consonance with the report of Sharma et al. (2010) that V. alginolyticus, a yellow Vibrio has a priobiotic effect against WSSV. The yellow Vibrios dominate over the green Vibrios in the soil after lime application to pH 11 in this study. Furthermore, at pH 11, WSSV capsid is degraded (Chen et al. 2012). Capsids shield the genetic material against the action of digestive enzymes; helps in the attachment of the virus to the host cell membrane; and it contains enzymes, or proteins that enables the virion to penetrate host cell membranes and transports nucleic acid inside the cells (Qureshi 2016). Disintegration of the capsid prevents viral attachment to the host and viral replication.

The observed dead shrimp, crabs and fish 2 days after lime application to soil pH 11 is consistent with Furtado et al. (2015) who observed a 100% mortality in Littopenaeus vannamei exposed to pH 10.5 which they attributed to oxidative stress. Gill cells are altered during exposure to high pH (Ge et al. 2022). This could negatively affect osmoregulation, respiration, and excretion of nitrogenous wastes (Evans, Piermarini, and Choe 2005) which could have caused the observed mortality of the aquatic organisms. Considering that high pH can cause mortalities in aquatic organisms and the possible negative effect of the lime powder on the gills, it is recommended to flush out the lime 8 days after application

In shrimp farming the accumulation of organic matter and sludge in the pond after harvest brings threat to the next cropping due to the risk of disease occurrence. We recommend lime application to raise the soil pH to 11 as a management tool that shrimp farmers may adopt to prevent disease outbreaks without the use of chemicals or other synthetic products which can be harmful to the environment. Liming encourages the proliferation of the yellow vibrios, controls the growth of the harmful green vibrios and WSSV; and the eradication of carrier species (i.e. crabs) as well as predators (i.e. fish) in the ponds. To implement a 1 unit increase in wet pH, hydrated lime should be applied at 2T/ha.


ACKNOWLEDGEMENT

The study was funded by the Government of Japan (GoJ), under the trust fund awarded to SEAFDEC/AQD (study code: 8300-T-RD-FH0710). Special thanks to Prof. Valeriano Corre, Former Station Head of the Brackishwater Aquaculture Center (BAC), University of the Philippines Visayas at Nabitasan, Leganes, Iloilo, Philippines for the use of the 600sqm experimental ponds; and to Ms. Romelie Torreta-Ortega and Mr. Hernie Gustilo for the technical assistance.

Submitted: October 14, 2022 CEST

Accepted: April 28, 2023 CEST

References

Boyd, C.E. 2012. “Drying, Liming, Other Treatments Disinfect Pond Bottom.” Global Aquaculture Advocate, November/December, 32–34.
Google Scholar
Chang, Poh-Shing, Li-Jing Chen, and Yu-Chi Wang. 1998. “The Effect of Ultraviolet Irradiation, Heat, pH, Ozone, Salinity and Chemical Disinfectants on the Infectivity of White Spot Syndrome Baculovirus.” Aquaculture 166 (1–2): 1–17. https:/​/​doi.org/​10.1016/​s0044-8486(97)00238-x.
Google Scholar
Chen, W, H Zhang, L Gu, F Li, and F Yang. 2012. “Effects of High Salinity, High Temperature and pH on Capsid Structure of White Spot Syndrome Virus.” Diseases of Aquatic Organisms 101 (2): 167–71. https:/​/​doi.org/​10.3354/​dao02511.
Google Scholar
Chowdhury, M.B.R., and T. Rhaman. 2012. “Use of Low-Cost Chemotherapeutic and Medicinal Plants against Thai Silver Barb (Barbonymus Gonionotus.” J. Bangladesh Agril. Univ 10 (2): 385–90.
Google Scholar
Das, M.K., and R.K. Das. 1993. “A Review of the Fish Disease Epizootic Ulcerative Syndrome in India.” Environ. Ecol 11 (1): 134–45.
Google Scholar
Evans, David H., Peter M. Piermarini, and Keith P. Choe. 2005. “The Multifunctional Fish Gill: Dominant Site of Gas Exchange, Osmoregulation, Acid-Base Regulation, and Excretion of Nitrogenous Waste.” Physiological Reviews 85 (1): 97–177. https:/​/​doi.org/​10.1152/​physrev.00050.2003.
Google Scholar
Fuentes, Juan P., David F. Bezdicek, Markus Flury, Stephan Albrecht, and Jeffrey L. Smith. 2006. “Microbial Activity Affected by Lime in a Long-Term No-till Soil.” Soil and Tillage Research 88 (1–2): 123–31. https:/​/​doi.org/​10.1016/​j.still.2005.05.001.
Google Scholar
Furtado, Plínio S., Michelle M.S. Fugimura, José María Monserrat, Diego M. Souza, Luciano de O. Garcia, and Wilson Wasielesky. 2015. “Acute Effects of Extreme pH and Its Influences on the Survival and Biochemical Biomarkers of Juvenile White Shrimp,Litopenaeus Vannamei.” Marine and Freshwater Behaviour and Physiology 48 (6): 417–29. https:/​/​doi.org/​10.1080/​10236244.2015.1086539.
Google Scholar
Ganguly, S., J. Chatterjee, and B.B. Jana. 2000. “Biogeochemical Cycling Bacterial Activity in Response to Lime and Fertilizer Applications in Pond Systems.” Aquaculture International 7 (6): 413–31. https:/​/​doi.org/​10.1023/​a:1009289823138.
Google Scholar
Ge, Qianqian, Jiajia Wang, Jitao Li, and Jian Li. 2022. “Highly Sensitive and Specific Responses of Shrimp Gill Cells to High pH Stress Based on Single Cell RNA-Seq Analysis.” Frontiers in Cell and Developmental Biology 10 (1031828). https:/​/​doi.org/​10.3389/​fcell.2022.1031828.
Google ScholarPubMed CentralPubMed
Huang, W., D. Zheng, L. Fan, and G. Ni. 1989. “The Pathology and Prevention of Acanthocephaliasis for the Carp.” Journal of Fisheries China Shuichan Zuebao 13:308–15.
Google Scholar
Mitchell, Andrew J., Scott Snyder, David J. Wise, and Charles C. Mischke. 2007. “Evaluating Pond Shoreline Treatments of Slurried Hydrated Lime for Reducing Marsh Rams-Horn Snail Populations.” North American Journal of Aquaculture 69 (4): 313–16. https:/​/​doi.org/​10.1577/​a06-065.1.
Google Scholar
Qureshi, Adnan I. 2016. “Chapter 8 - Structure and Genetics of Ebola Virus Disease.” In Ebola Virus Disease, edited by Adnan I Qureshi, 105–16. Academic Press. https:/​/​doi.org/​10.1016/​b978-0-12-804230-4.00008-x.
Google Scholar
Sharma, S.R. Krupesha , K.M. Shankar, M.L. Sathyanarayana, A.K. Sahoo, Rajreddy Patil, H.D. Narayanaswamy, and Suguna Rao. 2010. “Evaluation of Immune Response and Resistance to Diseases in Tiger Shrimp, Penaeus Monodon Fed with Biofilm of Vibrio Alginolyticus.” Fish &amp; Shellfish Immunology 29 (5): 724–32. https:/​/​doi.org/​10.1016/​j.fsi.2010.07.016.
Google Scholar
Tendencia, E.A., and J.A.J. Verreth. 2011. “Temperature Fluctuations, Low Salinity and Water Microflora Are Risk .Factors for WSSV Outbreaks in Pond Culture of Penaeus Monodon.” Israeli Journal of Aquaculture-Bamidgeh IIC 63:7.
Google Scholar
Valeur, I., and S. I. Nilsson. 1993. “Effects of Lime and Two Incubation Techniques on Sulfur Mineralization in a Forest Soil.” Soil Biology and Biochemistry 25 (10): 1343–50. https:/​/​doi.org/​10.1016/​0038-0717(93)90049-h.
Google Scholar
Zehr, Jonathan P., and Bess B. Ward. 2002. “Nitrogen Cycling in the Ocean: New Perspectives on Processes and Paradigms.” Applied and Environmental Microbiology 68 (3): 1015–24. https:/​/​doi.org/​10.1128/​aem.68.3.1015-1024.2002.
Google ScholarPubMed CentralPubMed

This website uses cookies

We use cookies to enhance your experience and support COUNTER Metrics for transparent reporting of readership statistics. Cookie data is not sold to third parties or used for marketing purposes.

Powered by Scholastica, the modern academic journal management system