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The Study of Important Agronomic Traits by Multivariate Analysis in Winter Rapeseed Cultivars

Received: 6 January 2014     Published: 10 March 2014
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Abstract

In order to group winter rapeseed cultivars according to evaluated traits, an experiment was conducted in the Research Greenhouse of Agriculture Faculty, University of Tabriz – IRAN. In the experiment were included 12 cultivars of winter rapeseed and 3 levels of water deficit stress. Gypsum blocks were used to monitor soil moisture. Water deficit stress was imposed from stem elongation to physiological maturity. According to the principal component analysis, five principal components were chosen with greater eigenvalue (more than 0.7) that are including 81.34% of the primeval variance of variables. The first component that explained the 48.02% of total variance had the high eigenvalue. The second component could justify about 13.64% of total variance and had positive association with leaf water potential and proline content and had negative relationship with leaf stomatal conductivity. The third, fourth and fifth components expressed around, 10.18, 4.83 and 4.68% of the total variance respectively. The third component had the high eigenvalue for plant dry weight. The fourth component put 1000-seed weight, seed yield, Silique per Plant and root dry weight against plant dry weight, chlorophyll fluorescence and leaf water potential. The fifth component had the high eigenvalue for root dry weight, root volume and 1000-seed weight.

Published in American Journal of Bioscience and Bioengineering (Volume 2, Issue 1)
DOI 10.11648/j.bio.20140201.13
Page(s) 15-17
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Winter Rapeseed, Water deficit Stress, Principal Component Analysis

References
[1] FAO, 2007. http:// faostat. fao. org/.
[2] Friedt, W., Snowdon, R., Ordon, F., and Ahlemeyer, J. 2007. Plant Breeding: Assessment of genetic diversity in crop plants and is exploitation in breeding. Progress in Botany, 168: 152-177.
[3] Germ, M. 2008. The response of two potato cultivars on combined effects of selenium and drought. Acta Agri. Slovenica, 91: 121-137.
[4] Jensen, C.R., Mogensen, V.O., Mortensen, G., Fieldsend, J.K., Milford, G.F.J., Anderson, M.N., and Thage, J. H. 1996. Seed glucosinolate, oil and protein content of field-grown rape (Brassica napus L.) affected by soil drying and evaporative demand. Field Crop Research, 47: 93-105.
[5] Jongdee, B., Fukai, S., and Cooper, M. 2002, Leaf water potential and osmotic adjustment as physiological traits to improve drought tolerance in rice. Field Crop Research, 76: 153-163.
[6] Kimber, D.S. and McGregor, D.I. 1995. The species and their origin, cultivation and world production. In: Kimber, D.S. and McCregorceds, D.I. (eds.). Brassica oilseed. CABI, PP: 1-7.
[7] Kumar, A. and Singh, D.P. 1998. Use of physiological indices as a screening technique for drought tolerance in oilseed Brassica species. Ann. Bot., 81: 413-420.
[8] Liang, Z.S., Diang Z.R., and Wang, S.T. 1992. Study on types of water stress adaptation in both Brassica napus L. and B. juncea L. Acta Botanica Boreali, Occidentalia Sinica., 12(1): 38-45.
[9] Mendham, N.J. and Salisbury, P.A. 1995. Physiolog: Crop development, growth and yield. In: Kimber, D. and McCregor. D.I. (eds). Brassica oilseed, CABI, Pp: 11-64.
[10] Morant-Manceau, A., Pradier, E., and Tremblin, G. 2004. Osmotic adjustment, gas exchanges and chlorophyll fluorescence of a hexaploid triticale and its parental species to salt stress. J. Plant Physiol., 169: 25-33.
[11] Morison, J.I., Baker, N.R., Mullineaux, P.M., and Davies, W.J. 2008. Improving water use in crop production. Philosophical Transactions of the Royal Society of London. Series B: Biological Sci., 363: 639-658.
[12] Mostajeran, A. and Rahimi- Eichi, V. 2009. Effect of drought stress on growth and yield of rice cultivars and accumulation of proline and soluble sugars in sheath and blades of their different age leaves. American- Eurasian J. Agri. and Envir. Sci., 5 (2): 264-272.
[13] Nasri, M., Zahedi, H., Tohidi Moghaddam, H.R., Ghooshchi F., and Paknejad, F. 2008. Investigation of water stress on macroelements in rapeseed genotypes leaf. American J. of Agri. and Biol., Sci., 3 (4): 669-672.
[14] Parry, M.A.J., Flexas, J., and Medrano, H. 2005. Prospects for crop production under drought: Research priorities and future directions. The Annals of Applied Biology, 147: 217-226.
[15] Rao, M.S.S., and Mendham, N.J. 1991. Soil-plant-water relation of oilseed rape (Brassica napus and B. compestris). J. Agric Sci. Camb., 197: 197-205.
[16] Richard, R.A. 1996. Defining selection criteria to improve yield under drought. Plant Growth Regul., 20: 157-166.
[17] Robertson, M.J. and Holland, J.F. 2004. Production risk of canola in the semi-arid subtropics of Australia. Aust. J. Agric. Res., 55: 525-538.
[18] Sio-se Mardeh, A., Ahmadi, A., Poustini, K., and Mohammadi, V. 2006. Evaluation of drought resistance indices under various environmental conditions. Field Crop Res., 98: 222-229.
[19] Strocher, V.L., Boathe I.G., and Good, R.G. 1995. Molecular cloning and expression of a turgor gene in Brassica napus. Plant Mol Biol., 27: 541-551.
[20] Sundari, T., Tohari, S., and Mangoendidjojo, W. 2005. Yield performance and tolerance of mungbeam genotypes to shading. Ilmu. Pertanian, 12 (1): 12-19.
[21] Valeric, H.R., Sulpice, R., Lefort, C., Maerskack, V., Emery, N., and Larher, F.R. 2002. The suppression of osmoinduced proline response of Brassica napus L. var. Olefera leaf discs by polyunsatutated fatty acids and methyl-jasmonate. Plant Sci., 164: 119-127.
[22] Walker, K. C., and Booth, E. J. 2007, Agricultural aspcts of rape and other Brassica products. Eur J. Lipid Sci. Technol., 103: 441-446.
[23] Yucel, D.O., Anlarsal, A.E., and Yucel, C. 2006. Genetic variability, correlation and path analysis of yield and yield components in chickpea (Cicer arietinum L.). Turk. J. Agric., 30: 183-188.
[24] Zulini, L., Rubinigg, M., Zorer, R., and Bertamini, M. 2002. Effects of drought stress on chlorophyll fluorescence and photosynthetic pigment in grapevine leaves (Vitis vinifera CV. White Riesling).www. Actahort. Org / html.
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  • APA Style

    Gader Ghaffari, Farhad Baghbani. (2014). The Study of Important Agronomic Traits by Multivariate Analysis in Winter Rapeseed Cultivars. American Journal of Bioscience and Bioengineering, 2(1), 15-17. https://doi.org/10.11648/j.bio.20140201.13

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    ACS Style

    Gader Ghaffari; Farhad Baghbani. The Study of Important Agronomic Traits by Multivariate Analysis in Winter Rapeseed Cultivars. Am. J. BioSci. Bioeng. 2014, 2(1), 15-17. doi: 10.11648/j.bio.20140201.13

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    AMA Style

    Gader Ghaffari, Farhad Baghbani. The Study of Important Agronomic Traits by Multivariate Analysis in Winter Rapeseed Cultivars. Am J BioSci Bioeng. 2014;2(1):15-17. doi: 10.11648/j.bio.20140201.13

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  • @article{10.11648/j.bio.20140201.13,
      author = {Gader Ghaffari and Farhad Baghbani},
      title = {The Study of Important Agronomic Traits by Multivariate Analysis in Winter Rapeseed Cultivars},
      journal = {American Journal of Bioscience and Bioengineering},
      volume = {2},
      number = {1},
      pages = {15-17},
      doi = {10.11648/j.bio.20140201.13},
      url = {https://doi.org/10.11648/j.bio.20140201.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20140201.13},
      abstract = {In order to group winter rapeseed cultivars according to evaluated traits, an experiment was conducted in the Research Greenhouse of Agriculture Faculty, University of Tabriz – IRAN. In the experiment were included 12 cultivars of winter rapeseed and 3 levels of water deficit stress. Gypsum blocks were used to monitor soil moisture. Water deficit stress was imposed from stem elongation to physiological maturity. According to the principal component analysis, five principal components were chosen with greater eigenvalue (more than 0.7) that are including 81.34% of the primeval variance of variables. The first component that explained the 48.02% of total variance had the high eigenvalue. The second component could justify about 13.64% of total variance and had positive association with leaf water potential and proline content and had negative relationship with leaf stomatal conductivity. The third, fourth and fifth components expressed around, 10.18, 4.83 and 4.68% of the total variance respectively. The third component had the high eigenvalue for plant dry weight. The fourth component put 1000-seed weight, seed yield, Silique per Plant and root dry weight against plant dry weight, chlorophyll fluorescence and leaf water potential. The fifth component had the high eigenvalue for root dry weight, root volume and 1000-seed weight.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - The Study of Important Agronomic Traits by Multivariate Analysis in Winter Rapeseed Cultivars
    AU  - Gader Ghaffari
    AU  - Farhad Baghbani
    Y1  - 2014/03/10
    PY  - 2014
    N1  - https://doi.org/10.11648/j.bio.20140201.13
    DO  - 10.11648/j.bio.20140201.13
    T2  - American Journal of Bioscience and Bioengineering
    JF  - American Journal of Bioscience and Bioengineering
    JO  - American Journal of Bioscience and Bioengineering
    SP  - 15
    EP  - 17
    PB  - Science Publishing Group
    SN  - 2328-5893
    UR  - https://doi.org/10.11648/j.bio.20140201.13
    AB  - In order to group winter rapeseed cultivars according to evaluated traits, an experiment was conducted in the Research Greenhouse of Agriculture Faculty, University of Tabriz – IRAN. In the experiment were included 12 cultivars of winter rapeseed and 3 levels of water deficit stress. Gypsum blocks were used to monitor soil moisture. Water deficit stress was imposed from stem elongation to physiological maturity. According to the principal component analysis, five principal components were chosen with greater eigenvalue (more than 0.7) that are including 81.34% of the primeval variance of variables. The first component that explained the 48.02% of total variance had the high eigenvalue. The second component could justify about 13.64% of total variance and had positive association with leaf water potential and proline content and had negative relationship with leaf stomatal conductivity. The third, fourth and fifth components expressed around, 10.18, 4.83 and 4.68% of the total variance respectively. The third component had the high eigenvalue for plant dry weight. The fourth component put 1000-seed weight, seed yield, Silique per Plant and root dry weight against plant dry weight, chlorophyll fluorescence and leaf water potential. The fifth component had the high eigenvalue for root dry weight, root volume and 1000-seed weight.
    VL  - 2
    IS  - 1
    ER  - 

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Author Information
  • Payame Noor University, East Azerbaijan Province, Islamic Republic of Iran

  • Payame Noor University, East Azerbaijan Province, Islamic Republic of Iran

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