Investigation the effects of different concentration of Copper, Lead and Cadmium of soil on Zinc accumulation inside different organs of Eucalyptus camaldulensis
Notice bibliographique
Résumé
Phytoremediation is one method which initiated recent decades for amendment and clean up the contaminated soils with organic and mineral compounds. Aim of this research is investigation the effects of different concentration of Copper (Cu), Lead (Pb) and Cadmium (Cd) of soil on Zinc accumulation inside different organs of Eucalyptus camaldulensis. In this study 3 treatments of Cadmium (5, 10 and 15 ppm), 3 treatments of copper(5, 10 and 15 ppm) , study 3 treatments of Zinc(1, 3 and 10 ppm), 3 treatments of Lead (5, 100 and 200 ppm), and 3 treatments of combination these elements in 3 level and 6 replication carried out based on Completely Randomized Design for Eucalyptus camaldulensis. Result of this research clearly indicated that concentration and kind of heavy metals existent in soil are affecting on the rate of uptake and accumulation and also location of Zinc accumulation inside different organs of Eucalyptus camaldulensis. Keywords: Eucalyptus camaldulensis; copper; Cadmium; Lead; zinc; heavy metals References: Gardea-Torresdey, J. L., Peralta-Videa, J. R., De La Rosa, G., & Parsons, J. G. (2005). Phytoremediation of heavy metals and study of the metal coordination by X-ray absorption spectroscopy. Coordination chemistry reviews, 249(17-18), 1797-1810. Groppa, M. D., Tomaro, M. L., & Benavides, M. P. (2007). Polyamines and heavy metal stress: the antioxidant behavior of spermine in cadmium-and copper-treated wheat leaves. Biometals, 20(2), 185-195. Khan, A. G. (2005). Role of soil microbes in the rhizospheres of plants growing on trace metal contaminated soils in phytoremediation. Journal of Trace Elements in Medicine and Biology, 18(4), 355-364. Martinez-Sanchez, M. J., Garcia-Lorenzo, M. L., Perez-Sirvent, C., & Bech, J. (2012). Trace element accumulation in plants from an aridic area affected by mining activities. Journal of Geochemical Exploration, 123, 8-12. Mattina, M. I., Lannucci-Berger, W., Musante, C., & White, J. C. (2003). Concurrent plant uptake of heavy metals and persistent organic pollutants from soil. Environmental pollution, 124(3), 375-378. Mico, C., Recatala, L., Peris, M., & Sanchez, J. (2006). Assessing heavy metal sources in agricultural soils of an European Mediterranean area by multivariate analysis. Chemosphere, 65(5), 863-872. Pahlsson, A. M. B. (1989). Toxicity of heavy metals (Zn, Cu, Cd, Pb) to vascular plants. Water, Air, and Soil Pollution, 47(3-4), 287-319. Nascimento, C. W. A. D., & Xing, B. (2006). Phytoextraction: a review on enhanced metal availability and plant accumulation. Scientia agricola, 63(3), 299-311. Pugh, R. E., Dick, D. G., & Fredeen, A. L. (2002). Heavy metal (Pb, Zn, Cd, Fe, and Cu) contents of plant foliage near the Anvil Range lead/zinc mine, Faro, Yukon Territory. Ecotoxicology and Environmental Safety, 52(3), 273-279. Pulford, I. D., & Watson, C. (2003). 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Zinc toxicity on growth and nutrition of Eucalyptus maculata and Eucalyptus urophylla in nutrient solution. Pesquisa Agropecuaria Brasileira, 36(2), 339-348. Yildiz, N. (2005). Response of tomato and corn plants to increasing Cd levels in nutrient culture. Pakistan Journal of Botany, 37(3), 593-599. Annenkov, B. N. (1982). Mineral feeding of pigs. Mineral nutrition of animals, 355-389. Baycu, G., Tolunay, D., Ozden, H., & Gunebakan, S. (2006). Ecophysiological and seasonal variations in Cd, Pb, Zn, and Ni concentrations in the leaves of urban deciduous trees in Istanbul. Environmental pollution, 143(3), 545-554. Campbell, P. G., Tessier, A., Bisson, M., & Bougie, R. (1985). Accumulation of copper and zinc in the yellow water lily, Nuphar variegatum: relationships to metal partitioning in the adjacent lake sediments. Canadian Journal of Fisheries and Aquatic Sciences, 42(1), 23-32. EPA. (2012) A citizen`s guide to phytoremediation. United States Environmental Protection Agency, USA. Ghaderian, S. M., Hemmat, G. R., Reeves, R. D., & Baker, A. J. M. (2007). Accumulation of lead and zinc by plants colonizing a metal mining area in Central Iran. Journal of applied botany and food quality, 81(2), 145-150. Gratao, P. L., Polle, A., Lea, P. J., & Azevedo, R. A. (2005). Making the life of heavy metal-stressed plants a little easier. Functional plant biology, 32(6), 481-494. Lombi, E., Tearall, K. L., Howarth, J. R., Zhao, F. J., Hawkesford, M. J., & McGrath, S. P. (2002). Influence of iron status on cadmium and zinc uptake by different ecotypes of the hyperaccumulator Thlaspi caerulescens. Plant Physiology, 128(4), 1359-1367. MacFarlane, G. R., Koller, C. E., & Blomberg, S. P. (2007). Accumulation and partitioning of heavy metals in mangroves: a synthesis of field-based studies. Chemosphere, 69(9), 1454-1464. Machado, W., Silva-Filho, E. V., Oliveira, R. R., & Lacerda, L. D. (2002). Trace metal retention in mangrove ecosystems in Guanabara Bay, SE Brazil. 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Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».