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Research Detail

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S. M. F. Rabbi
Soil Science Discipline, Khulna University, Khulna-9208, Bangladesh

K. Q. Kibria
Soil Science Discipline, Khulna University, Khulna-9208, Bangladesh

M. S. Islam
Soil Science Discipline, Khulna University, Khulna-9208, Bangladesh

M. Ahsan


A. Rahman
Soil Science Discipline, Khulna University, Khulna-9208, Bangladesh

M. R. Bhuiyan
Soil Science Discipline, Khulna University, Khulna-9208, Bangladesh

Water stability of Bajoa (Typic Endoaquept), Ramgati (Typic Endoaquept) and Barisal (Typic Endoaquept) soil series of Ganges Tidal  Floodplain  was determined.  Physical and chemical  properties were also determined.  Mean weight diameter (MWD) and percent water stable aggregates (%WSA) were higher in Bajoa and Barisal than Ramgati series. Percentages of clay, silt and soil organic matter (SOM) were the three cardinal  factors affecting aggregate  stability of soils. The relative importance of silt and clay over SOM was evident. Largely the magnitude of aggregate stability was attributed by the percent of silt content of the soil

  Floodplain soil, Soil, Ganges tidal floodplain
  Ganges tidal floodplain, Bangladesh
  
  
  Crop-Soil-Water Management
  Land development productivity

To evaluate the aggregate stability of Bajoa, Ramgati and Barisal series and factors affecting their stability

Bajoa (Typic Endoaquept), Ramgati (Typic Endoaquept) and Barisal (Typic Endoaquept) soil series were collected from Ganges tidal floodplain. A master (1m x lm xlm) pit was excavated to describe and collect samples from each horizon. The undisturbed soil samples were collected in 10 em x 5 cm blocks. The soil samples were then air dried and prepared for analysis. The particle size analysis of the soils was carried out by combination of sieving and hydrometer method as described. Textural classes  were  determined   using  Marshall's Triangular Coordinator system. Bulk density of soil was determined  by core  method  as described  by Blake and Hartge (1986). Particle density was determined  by pycnometer  as described and total porosity was calculated from bulk and particle densities. Soil structure was evaluated by microaggregate analysis of the soils following the method with the exception that a combination of sieving and hydrometer method  was used  to determine   the  particle  size  distribution instead of pipette method. The state of aggregation (>0.05 mm) and dispersion factor were calculated. Hydraulic conductivity  of  soil was  determined  in  the laboratory by constant head method. In aggregate sieving analysis the aggregates passed through  8mm  sieve  but  retained on 4mm  sieve were used. Dry and wet sieving analyses were performed according  to the methods as described. For dry and  wet sieving 2mm, 1 mm, 0.5mm and 0.25mm sieves were used. Change in mean weight diameter (CMWD) = MWDdry - MWDwet. Water stable aggregates (WSA) = Total sample analyzed / Sample retained on a specific sieve  x  100. %WSA=  100 x  {(Total  sample  weight)-( weight of priman -  particles)}  /  {(weight  retained)- (weight of primary  particles)}. Soil  pH was determined electrochemically with the help of glass electrode pH meter as suggested by Jackson (1973). The electrical conductivity of the soil  was  measured  at  a soil: water ratio of 1:2 by EC meter. Soil organic carbon was  determined by wet oxidation method. The CEC of soil was determined by extracting the soil with IN  NH4 OAc  solution (pH 7.0) followed by replacing ammonium from the exchange site by 2M KCI. The concentration  of ammonium  in  the  solution was  determined. Exchangeable N a+, ca2+  and K+ was extracted  with IN NH4OAc solution (pH 7.0) as described  and  then  was analyzed  by flame photometer. Water soluble sodium and potassium was determined by  flame  photometer after extraction with distilled water.

  Bangladesh J. Soil Sci. 30(1-2): 61-69, 2004, ISSN 0253-5440
  
Funding Source:
  

They concluded  that soils   with   high   amounts  of  silt   and  fine   sand dispersed easily, while stable soils were generally related   to the sum of coarse sand  and  clay. Schnitzer  and  Kodama (1992)  reported  that percentage  of organic  carbon  associated  with  fine sand and silt particles was much lower than which associated with clay  particles. This  may  be responsible  for  collapse of  aggregates   containing high silt percentage. Percentages of clay, silt and soil organic matter (SOM) were the three cardinal  factors affecting aggregate stability of soils. The relative importance of silt and clay over SOM was evident. Largely the magnitude of aggregate stability was attributed by the percent of silt content of the soil.

  Journal
  


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