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Cited by 12

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Biplot Analysis of Silicon Dioxide on Early Growth of Sunflower

Sabaghnia, Naser, Janmohammadi, Mohsen·2016·Plant Breeding and Seed Science
DOI 10.1515/plass-2016-0008
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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-SiO 2) 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-SiO 2 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.

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Figures

Fig. 1 X-Ray diffraction pattern of SiO2 nano-particles.
Fig. 1 X-Ray diffraction pattern of SiO2 nano-particles.CC-BY · From the PDF
Fig. 2 Large area TEM image of SiO2 nano-particles
Fig. 2 Large area TEM image of SiO2 nano-particlesCC-BY · From the PDF
Fig. 3 (A) Polygon view of TT biplot showing which treatment had the highest values for which traits and (B) vector view of TT biplot, showing the interrelationship among all measured traits of sunflower
Fig. 3 (A) Polygon view of TT biplot showing which treatment had the highest values for which traits and (B) vector view of TT biplot, showing the interrelationship among all measured traits of sunflowerCC-BY · From the PDF
Fig. 4 (A) vector view of TT biplot, showing the interrelationship among all treatments and (B) ideal entry view of TT biplot, showing the relationships of treatments with ideal entry in sunflower
Fig. 4 (A) vector view of TT biplot, showing the interrelationship among all treatments and (B) ideal entry view of TT biplot, showing the relationships of treatments with ideal entry in sunflowerCC-BY · From the PDF
Fig. 5 Tester comparison view of TT biplot showing the relationships of traits with germination percentage (GP) in sunflower
Fig. 5 Tester comparison view of TT biplot showing the relationships of traits with germination percentage (GP) in sunflowerCC-BY · From the PDF

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Research works printed but not linked: 58

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Cited by

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Metadata

Authors
Sabaghnia, N., & Janmohammadi, M.
Venue
Plant Breeding and Seed Science
Publisher
Plant Breeding and Acclimatization Institute - National Research Institute
Published
2016-06-01
Volume
73
Issue
1
Pages
87-98
ISSN
2083-599X
DOI
10.1515/plass-2016-0008
Cited by
12
References
0
Licence
creativecommons.org/licenses/by-nc-nd/3.0 (unspecified)

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CoChat. (2026). Citation check: Biplot Analysis of Silicon Dioxide on Early Growth of Sunflower. https://app.cochat.ai/papers/10.1515/plass-2016-0008
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Sabaghnia, N., & Janmohammadi, M. (2016). Biplot Analysis of Silicon Dioxide on Early Growth of Sunflower. Plant Breeding and Seed Science. https://doi.org/10.1515/plass-2016-0008