Chemical composition of essential oils of three Pistacia cultivars in Khorasan Razavi, Iran – IJAAR

Pistacia,Rahele Zhiani, Marjan Moradi, Fatemeh Abedi

Department of Chemistry, Faculty of Sciences, Neyshabur branch, Islamic Azad University, Neyshabur, Iran

Department of Chemistry, Faculty of Sciences, Khorasan Razavi Science and Research Branch, Islamic Azad University, Neyshabur, Iran

Key words: Pistacia species, analysis, GC-MS, constituents, Kovats’ indices.

Abstract

The essential oil from leaves of Pistacia lentiscus L., an aromatic member of three Pistacia (Pistacia Vera L.) cultivars, including Kalle Ghoochi, Akbari, and Sefid that were analyzed by GC-MS. These Pistacia species have been collected from Khorasan Razavi, Iran. Constituents were identified by their mass spectra and Kovats’ indices. Pistacia1,8-cineole, α-pinene, β-pinene, β-thujene, and limonene were found to be the major constituents.

Get the original articles in Source: Volume 4, Number 2, February 2014 – IJAAR

Journal Name: International Journal of Agronomy and Agricultural Research (IJAAR)

Published By: International Network for Natural Sciences

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The study of climate change in Mazandaran Province using the limit indices of temperature and precipitation – JBES

Mazandaran,Razaghian Hadi, Shahedi Kaka, Haghshenas GatabiRahman Rahman Ali, Kheirollah Poor Saraee Ahmad

Department of Watershed Management Engineering Sari Agricultural Sciences and Natural Resources University and Instructor, Dept. of Natural Resources and Environmental Engineering, Payam Noor University and, 19395-4697, Tehran, Iran

Department of Agricultural Sciences and Natural Resources Department, Sari University, Iran

Department of Natural Geography, Mazandaran Province Meteorological Department, Fourth Kilometers of Sari-Qaemshahr Road, Iran

Key words: Mazandaran, climate change, drought, SPI.

Abstract

In recent years, we could rarely find a day in which the mass media do not release news and reports about natural disasters such as intensive storms, flood, drought and their heavy damages to catchments and human’s environment. Continue reading

Proximate composition and some physical attributes of three mango (Mangifera indica L.) fruit varieties – IJAAR

Mangifera indicaS.T. Ubwa, M. O. Ishu, J. O. Offem, R. L. Tyohemba, G. O. Igbum

Department of Chemistry, Benue State University, Makurdi-Nigeria

Department of Physiology, Pharmacology & Biochemistry, Federal University of Agriculture, Makurdi-Nigeria

Key words: Mango, proximate, analysis, sensory, nutritional.

Abstract

The proximate composition and some physical parameters of three mango (Mangifera indica L.) fruit varieties; {‘Hindi’ mango (HM), ‘Julie mango (JM) and Local mango (LM)} were determined. Continue reading

Optimal site selection for temporary housing after an earthquake in urban areas using multiple criteria decision making methods and GIS (a case study of municipal district 6, Tehran metropolis) – JBES

Geographic Information System,,Faramarz Hadavi, Mehdi Zamani, Mostafa movasati, Kamal koohgard and Mohammadreza Hadavi

Geography and Urban Planning, Payame-Noor University of Tehran. Iran

Geomorphology, Tehran Azad University, Science and Research Branch. Iran

Department of Urban Planning, Art University of Isfahan, Iran

Department of Geography and Urban Planning, Azad University of Science and Research of Tehran, Iran

Expert of Zanjan Governor, Zanjan, Iran

Key words: Temporary housing, Earthquake, Geographic Information System, Municipal District No.6 of Tehran metropolis.

Abstract

Choosing an appropriate site for temporary housing of the population affected by natural disasters has always been among the issues that have been brought to the attention of organization and authorities responsible for crisis management. Continue reading

Morpho-agronomic variability and GxE interactions of Manila Hemp (Musa textilis L. Née) genotypes grown in varying agroecozones in Southern Mindanao, Philippines – IJAAR

Musa textilisFlorence Zapico, Catherine Hazel Aguilar, Marianita Eroy, Joey Real Marie Barbosa, Deocyth Sarsalejo and Sittie Rokaiya Banisil

Science Department, College of Natural Sciences and Mathematics, Mindanao State University- Fatima, General Santos City 9500 Philippines

Philippine Coconut Authority- Region 11, Bago Oshiro, Tugbok District, Davao City, 8000 Philippines

Key words: Musa textilis L. Nee, principal component analysis, GxE interaction, Pearson’s correlation, cluster Analysis.

Abstract

Taximetric statistical methods were carried out on morpho-agronomic traits from three Manila hemp (Philippine abaca) varieties planted in three locations in Southern Mindanao, Philippines. Principal Component analysis (PCA) resulted in the extraction of five principal components which collectively accounted for 99.85% of total variance. Continue reading