In collaboration with Scientific Association of Iranian Medicinal Plants
Volume 40 (2024)
Volume 39 (2023)
Volume 38 (2022)
Volume 37 (2021-2022)
Volume 36 (2020-2021)
Volume 35 (2019-2020)
Volume 34 (2018-2019)
Volume 33 (2017-2018)
Volume 32 (2016-2017)
Volume 31 (2015-2016)
Volume 30 (2014-2015)
Volume 29 (2013-2014)
Volume 28 (2012-2013)
Volume 27 (2011-2012)
Volume 26 (2010-2011)
Volume 25 (2009-2010)
Volume 24 (2008-2009)
Volume 23 (2007-2008)
Volume 22 (2006-2007)
Volume 21 (2005-2006)
Volume 20 (2004-2005)
Volume 19 (2003-2004)
Volume 18 (2003)
Volume 17 (2003)
Volume 16 (2003)
Volume 15 (2003)
Volume 14 (2003)
Volume 13 (2002)
Volume 12 (2002)
Volume 11 (2002)
Volume 10 (2001-4)
Volume 9 (2001-3)
Volume 8 (2001-2)
Volume 7 (2001-1)
Volume 6 (2000)
Volume 5 (2000)
Volume 4 (1999)
Volume 3 (1999)
Volume 2 (1999)
Volume 1 (1999)
Agriculture and horticulture
Study on Cuminum cyminum L. genotypes tolerance to Fusarium wilt disease

S. Aghighi; Gh. Mohammadi-Nejad; Sh. Khandani

Volume 38, Issue 4 , December 2022, , Pages 608-621

https://doi.org/10.22092/ijmapr.2022.356412.3080

Abstract
  Fusarium wilt disease is the most important disease of cumin (Cuminum cyminum L.) and causes great damage to it every year. The present study was conducted to evaluate the response of 13 cumin genotypes to Fusarium wilt disease as a factorial experiment in a completely randomized design (genotype as ...  Read More

Improving the seed yield of cumin (Cuminum cyminum L.) genotypes using different selection indices under drought stress conditions

F. Ghasemi; Gh. Mohammadinejad; A. Baghizadeh; H.R. Kavossi

Volume 35, Issue 2 , May and June 2019, , Pages 209-221

https://doi.org/10.22092/ijmapr.2019.122442.2350

Abstract
  In order to improve complex traits such as yield, one of the most effective approaches to select the desired genotypes is the use of selection indices. In this research, in order to evaluate the efficiency of different selection methods under stress conditions, 49 top cumin (Cuminum cyminum L.) genotypes, ...  Read More

Evaluation of selection indices for improving grain yield in Cuminum cyminum L.

F. Ghasemi; A. Baghizadeh; Gh. Mohammadinejad; H.R. Kavoosi

Volume 32, Issue 6 , February 2017, , Pages 1088-1098

https://doi.org/10.22092/ijmapr.2017.109326

Abstract
  The selection indices is one of the most effective methods for improving complex traits such as yield. In the current study, 50 genotypes of cumin (Cuminum cyminum L.) were evaluated to assess the efficiency of different selection indices. The experiment was conducted in a randomized complete block design ...  Read More