BIPLOT ANALYSIS OF SILICON DIOXIDE ON EARLY GROWTH OF SUNFLOWER

Naser Sabaghnia; Mohsen Janmohammadi

BIPLOT ANALYSIS OF SILICON DIOXIDE ON EARLY GROWTH OF SUNFLOWER

Naser Sabaghnia

sabaghnia@maragheh.ac.ir
Department of Agronomy and Plant Breeding, Agriculture College, University of Maragheh, Iran (Iran, Islamic Republic of)

Mohsen Janmohammadi

Department of Agronomy and Plant Breeding, Agriculture College, University of Maragheh, Iran (Poland)

Abstract

Research into nanotechnology has advanced in almost all fields of technology and the aim of this study
was to evaluate the role of nano-silicon dioxide (nano-SiO₂) in germination performance sunflower. Germination and seedling growth are the most important stage of plant development and are critical factors to crop
production and are essential to achieve optimum performance. The effects of pre-germination hydration in
solutions of nano-SiO2 (0, 0.2, 0.4, 0.6, 0.8, 1 and 1.2 mM for 8 h) on germination characteristics of sunflower were investigated. The trait by treatment (TT) biplot explained 93% of the total variation of the standardized data (77% and 16% for the first and second principal components, respectively). According to polygon-view of TT biplot, T2 (0.2 mM) had the highest values for all of the measured traits except mean germination time and the time to 50% germination. The germination percentage was determined as the best trait and
showed the high association with promptness index, energy of germination and germination rate traits. The
results of the present study indicated that pre-sowing seed treatments with low concentration of nano-SiO₂ had
favorable effect sunflower seed germination and seedling early growth. Such a similar outcome could be
applied in the future to outline other crops in response to nano-particles as well as to help define tolerance
tools for recommendations in stressful conditions in the world.

Keywords:

germination rate, nano-sized materials, seed priming, TT biplot

References

AOSA (Association of Official seed Analysis). 1991. Rules for testing seeds. Seed Science and Technology 12: 18–19.
Google Scholar

Ashraf M., Foolad M. R. 2005. Pre-sowing seed treatment—a shotgun approach to improve germination, plant growth, and crop yield under saline and non‐saline conditions. Advances in Agronomy 88: 223–271.
Google Scholar

Ashraf M.Y., Akhtar K., Hussain F., Iqbal J. 2006. Screening of different accessions of three potential grass species from Cholistan desert for salt tolerance. Pakistan Journal of Botany 38: 1589–1597.
Google Scholar

Bao-Shan L., Shao-Qi D., Chun-Hui L., Li-Jun F., Shu-Chun Q., Min Y. 2004. Effect of TMS (nanostructured silicon dioxide) on growth of Changbai Larch seedlings. Journal of Forestry Research 15: 138–140.
Google Scholar

Basra S.M.A., Farooq M., Wahid A., Khan M. B. 2006. Rice seed invigoration by hormonal and vitamin priming. Seed Science and Technology 34: 753–758.
Google Scholar

Dehghani D., Omidi H., Sabaghnia N. 2008. Graphic analysis of trait relations of canola (Brassica napus L.) using biplot method. Agronomy Journal 100: 760–764.
Google Scholar

Ellis R. H., Roberts E. H. 1981. The quantification of ageing and survival in orthodox seeds. Seed Science and Technology 9: 373–409.
Google Scholar

FAOSTAT. 2012. FAOSTAT. Food and Agricultural Organisation of the United Nations. Available at: http:// faostat.fao.org.
Google Scholar

Farooq M., Basra S.M.A., Hafeez K., Ahmad N. 2005. Thermal hardening: a new seed vigour enhancement tool in rice. Acta Botanica Sinica 47: 187–193.
Google Scholar

Haghighi M., Afifipour Z., Mozafarian M. 2012. The effect of N–Si on tomato seed germination under salinity levels. Journal of Biological and Environmental Science 6: 87–90.
Google Scholar

Harris D., Joshi A., Khan P.A., Gothkar P., Sodhi P. S. 1999. On-farm seed priming in semi-arid agriculture: development and evaluation in maize, rice and chickpea in India using participatory methods. Experimental Agriculture 35: 15–29.
Google Scholar

Iqbal M., Ashraf M. 2007. Seed treatment with auxins modulates growth and ion partitioning in salt-stressed wheat plants. Journal of Integrative Plant Biology 49: 1003–1015.
Google Scholar

Liang Y., Sun W., Zhu Y.G., Christie P. 2007. Mechanisms of silicon-mediated alleviation of abiotic stresses in higher plants: a review. Environmental Pollution 147: 422–428.
Google Scholar

Ma J. F. 2004. Role of silicon in enhancing the resistance of plants to biotic and abiotic stresses. Soil Science and Plant Nutrition 50: 11–18.
Google Scholar

Ma J. F., Yamaji N. 2008. Functions and transport of silicon in plants. Cellular and Molecular Life Sciences 65: 3049–3057.
Google Scholar

Mijic A., Liovic I., Zdunic Z., Maric S., Jeromela A. M., Jankulovska M. 2009. Quantitative analysis of oil yield and its components in sunflower (Helianthus annuus L.). Romanian Agricultural Research 26: 41–46
Google Scholar

Nair R., Poulose A. C., Nagaoka Y., Yoshida Y., Maekawa T., Kumar D. S. 2011. Uptake of FITC labeled silica nanoparticles and quantum dots by rice seedlings: effects on seed germination and their potential as biolabels for plants. Journal of fluorescence 21: 2057–2068.
Google Scholar

Ranal M. A., Santana, D. G. D. 2006. How and why to measure the germination process?. Brazilian Journal of Botany 29: 1–11.
Google Scholar

Ruan S., Xue Q., Tylkowska K. 2002. The influence of priming on germination of rice (Oryza sativa L.) seeds and seedling emergence and performance in flooded soil. Seed Science and Technology 30: 61–67.
Google Scholar

Rubio J., Cubero J.I., Martín L.M., Suso M.J., Flores F. 2004. Biplot analysis of trait relations of white lupin in Spain. Euphytica 135: 217–224.
Google Scholar

Sabaghnia N., Dehghani H., Alizadeh B., Moghaddam M. 2011. Yield analysis of rapeseed (Brassica napus L.) under water-stress conditions using GGE biplot methodology. Journal of Crop Improvement 25: 26–45.
Google Scholar

Sabaghnia N., Janmohammadi M. 2014. Graphic analysis of nano-silicon by salinity stress interaction on germination properties of lentil using the biplot method. Agriculture and Forestry 60: 29–40.
Google Scholar

Siddiqui M. H., Al-Whaibi M. H. 2014. Role of nano-SiO2 in germination of tomato (Lycopersicum esculentum seeds Mill.). Saudi Journal of Biological Sciences 21: 13–17.
Google Scholar

Wahid A., Noreen A., Basra S. M., Gelani S., Farooq M. 2008. Priming-induced metabolic changes in sunflower (Helianthus annuus) achenes improve germination and seedling growth. Botanical Studies 49: 343–350.
Google Scholar

Yan W. 2001. GGEbiplot–A Windows application for graphical analysis multienvironment trial data and other types of two-way data. Agronomy Journal 93: 1111–1118.
Google Scholar

Yan W., Hunt L.A., Sheng Q., Szlavnics Z. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science 40: 597–605
Google Scholar

Yan W., Kang M S., Ma B., Woods S., Cornelius P.L. 2007. GGE biplot vs. AMMI analysis of genotype-byenvironment data. Crop Science 47: 643–655.
Google Scholar

Yan W., Rajcan I. 2002. Biplot evaluation of test sites and trait relations of soybean in Ontario. Crop Science,
Google Scholar