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BIOTROPIA - The Southeast Asian Journal of Tropical Biology
Published by Southeast Asian Regional Centre for Tropical Biology
ISSN : 02156334     EISSN : 1907770X     DOI : http://dx.doi.org/10.11598/btb
Core Subject : Health, Science, Agriculture,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Immunology & microbiology Veterinary
BIOTROPIA, The Southeast Asian Journal of Tropical Biology, is a scientific publication of the Southeast Asian Ministers of Education Organization (SEAMEO) – Southeast Asian Regional Center for Tropical Biology (BIOTROP). It publishes articles in the broad areas of tropical ecosystems and environmental impacts, biodiversity conservation and sustainable development and biotechnology.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 3 Documents
 1 
Search results for , issue "No. 13 (1999)" : 3 Documents clear
INTEGRATED USE OF NEOCHETINA BRUCHI AND ALTERNARIA EICHHORNIAE IN CONTROLLING WATER HYACINTH S. DHARMAPUTRA, OKKY; KASNO, KASNO; SUNJAYA, SUNJAYA; PUTRJ, ASMARINA S.R.; HANDAYANI, HERI S.
BIOTROPIA No. 13 (1999)
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.044 KB) | DOI: 10.11598/btb.1999.0.13.151

Abstract

The study on the integrated use of the chevroned water hyacinth weevil (Neochetina bruchi Mustache) and the water hyacinth blight disease  (Alternaria eichhorniae Nag Raj & Ponnappa) in suppressing water hyacinth growth was carried out under field conditions at Situ Bagendit lake, Garut, West Java. The objectives of this study were (I) to investigate whether the combined use of the two control agents produced a better effect in suppressing water hyacinth growth, (ii) to evaluate whether there is a change in oviposition and feeding habit of the chevroned water hyacinth weevil if the water hyacinth is seriously infected by  A. eichhorniae, and (iii) to evaluate the progress of weevil establishment in the field. The following results were obtained:(1) The concentration of Tween 80 which did not interfere with spore germination was 3%.(2) There was no difference between distilled water and 1% Potato Dextrose Broth (PDB) as a medium for fungal spores production.(3) The combined use of chevroned water hyacinth weevil and the water hyacinth blight produces a better suppressing on water hyacinth growth.(4) There was no significant effect of heavy infection by the water hyacinth blight on oviposition habit of chevroned water hyacinth weevil. Heavy fungal infection only affected feeding habit of the adult chevroned water hyacinth weevil.(5) Establishment of the chevroned water hyacinth weevil is in progress at Situ Bagendit lake, Garut regency, West Java.
SPECTRAL AND TEXTURAL CHARACTERISTICS OF THE LOWLAND TROPICAL RAIN FOREST OF JAMBI, SUMATERA WASRIN, UPIK ROSALINA; ARIEF, MUCHLISIN; SETIABUDHI, SETIABUDHI
BIOTROPIA No. 13 (1999)
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.1999.0.13.152

Abstract

Analyses of Landsat TM and SPOT multispectral data were performed with a very detailed description of the vegetation cover in the field to get a relevancy and consistency of digital image classification in a semi-automatic approach. Three main vegetation types, i.e. primary forest, logged-over forest and secondary forest after clear cut were analyzed and the microclimatic parameters were also measured to describe the ecological condition of the vegetation. Spectral and textural analysis of data obtained from field measurements and spectral reflectance values of the remote sensing data are the main topic of this report as one aspect of study on the Digital Method of Detection and Monitoring on Forest Ecosystem Change Using High Resolution Satellite Data funded by the Indonesian National Research Council. This study shows that spectral reflectance values alone cannot differentiate the logged-over forest from the primary forest, but it is very sharply distinguished from the secondary forest. As for the texture analysis, it is possible to distinguish the logged-over forest from the primary forest, as shown by different values of degree of Entropy, although spatially, it is still doubtful. Key words: Indonesia/Jambi/Tropical rain forests/lowland areas/Remote sensing/Vegetation Analysis/ Logged-over forests/Primary forests/Secondary forests.
MORPHOMETRIC STUDY FOR IDENTIFICATION OF THE BACTROCERA DORSALIS COMPLEX (DIPTERA : TEPHRITIDAE) USING WING IMAGE ANALYSIS ADSAVAKULCHAI', A.; BAIMAI, V.; PRACHYABRUED, W.; GROTE, PAUL J.; LERTLUM, S,
BIOTROPIA No. 13 (1999)
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.1999.0.13.150

Abstract

The Bactrocera dorsalis complex (Diptera: Tephritidae) used in this study included B. dorsalis, B. arecae, B. propinqua, B. pyrifoliae, B. verbascifoliae, and three new species complexes are species E, species K and species P. Bactrocera tau was used as an out-group. A total of 424 adults, which emerged from pupae collected from natural populations in Thailand, were prepared for wing measurements. Morphometric analysis was performed on measurements of wing vein characters. Wing images were captured in digital format and taken through digital  image processing to calculate the Euclidean distance between wing vein junctions. Discriminant and cluster analyses were used for dichotomy of classification processes. All 424 wing specimens were classified to species in terms of the percentage of "grouped" cases which yielded about 89.6% accurate identification compared with the formal description of these species. After clustering, the percentage of "grouped"cases yielded 100.0%, 98.9%, 98.1%, 95.2% and 84.6% accurate identification between the B. dorsalis complex and B. tau; B. arecae and Species E; B. dorsalis and B. verbascifoliae; B. propinqua and B. pyrifoliae; and species K and species P, respectively. This method of numerical taxonomy may be useful for practical identification of other groups of agricultural pests. Key words: Bactrocera dorsalis complex/wing image processing/morphometric/discriminant and cluster analyses.

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