Indonesian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Environmental Biology 2013-May

Biochemical changes in some deciduous tree species around Talcher thermal power station, Odisha, India.

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
Rekha Nayak
Debasis Biswal
Rupnarayan Sett

Kata kunci

Abstrak

The present study was conducted to evaluate biochemical traits in leaves to assess the air pollution impact on plants caused by thermal power plant emissions. Ten species of deciduous trees were selected from study sites in different seasons. pH, chlorophyll, phenols, total soluble sugar content and proline content in fresh leaf was analyzed. The leaf wash pH content reveals moderately acidic (4.5-5.0) to highly acidic (3.5-4.5) range. Significant differences (p < 0.01) were observed in chlorophyll content according to the seasons and sites. Maximum reduction in chlorophyll was noticed at 2.5 km and 5.0 km west from the power plant. Greater reduction in chloropohyll 'b' than chlorophyll 'a' was noticed. An increase in total soluble sugars and phenols was observed at sites closer to thermal power plant in comparison to control. Highest concentration of total phenols was found in summer season in Dalbergia sissoo (1.52%), Butea monosperma (1.12%), Mangifera indica (1.2%), Tectona grandis (1.26%) and Acacia leucophloea (1.16%) at 2.5 km north from the source. Highest concentration of soluble sugar was found in Dalbergia sissoo (7.75%) during winter season. There was about 10-20 fold increase in proline content of leaves in comparison to the control.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge