Kamil HALİLOĞLU, Esin ŞAHİN, Hossein Zeinalzadeh TABRİZİ

Principal components analysis of some f1 sunflower hybrids at germination and early seedling growth stage

Ayçiçeği ıslah programlarında morfolojik, fizyolojik ve biyokimyasal veriler üzerinden üstün hibritlerin seçilmesi ve ıslah materyallerinin genetik çeşitliliğinin belirlenmesi oldukça önemlidir. Biplot diagramlar yoluyla genotiplerin gruplandırılmaşmda ve genetik çeşitliliğinin belirlenmesinde kullanılan, temel bileşenler analizi çok değişkenli istatistik metotlarından birisidir. Çimlenme ve erken fide gelişim aşamasında olan bazı Fı ayçiçeği hibritlerinde, temel bileşenler analizini uygulamak için tamamen tesadüfi blok denemesi 3 tekerrürlü olarak kurulmuştur. Bitki materyalleri, 6 erkek restorer hattın 18 erkek kısır dişi hatla bir North Carolina Design I planında melezlenmesi ile oluşturulmuş 18 tek melez ayçiçeği hibrit setinden oluşmaktadır. İki bileşen, orjinal verilerin değişkenliğinin % 80.93'ünü oluşturmaktadır. Birinci bileşende tohum canlılık indeksi (SVI) en yüksek ağırlığa sahip iken ikinci bileşen daha çolc sürgün/kök oranı (SHRR) ile ilişkilidir. Biplot diagramma göre bileşenler ile 3 farklı grup oluşturulmuştur.

Çimlenme ve erken fide gelişim aşamasında bazı f1 ayçiçeği melezlerinin temel bileşenler analizi

Estimating genetic diversity inside breeding materials using morphological, physiological and biochemical data and selection of superior hybrids are essential in sunflower breeding programs. Principal components analysis is one of the multivariate statistical methods that can be utilized for genetic diversity estimation and grouping of genotypes through biplot diagrams. In order to study the principal components analysis of some Fi sunflower hybrids at germination and early seedling growth stage, a randomized complete block design has been conducted with three replications. Plant materials consisted of 18 single cross sunflower hybrids set of six male restorer lines crossed with 18 female (CMS) lines using the North Carolina Design I scheme. The first calculated two components accounted for 80.93 % of the variability in the original data. Seed vigor index (SV1) has a highest weight in the first component while second component was more associated with the shoot/root ratio (SHRR). Based on the created biplot diagram, three distinct groups could be differentiated.

PDF

___

Anonymous. 2010. www.agron.agri-jahad.ir.
Arshad, M., Khan, M.A, ladoon, S., Mohmand, AS. 2010. Factor analysis in sunflower (Helianthus annum L.) to investigate desirable hybrids. Pak. J. Bot. 42 (6): 4393-4402.
De la Vega, AJ., Chapman, SC. 2001. Genotype by environment interaction and indirect selection for yield in sunflower:: II. Three-mode principal component analysis of oil and biomass yield across environments in Argentina. Field Crops Research 72 (1): 39-50.
Dong, G., Liu, G., Li, K. 2007. Studying genetic diversity in the core germplasm of confectionary sunflower (Helianthus annuus L.) in China based on AFLP and morphological analysis. Russian journal of Genetics 43 (6): 627-635.
Ghafari, M. 2004. Use of principle component analysis method for selection of superior three way cross hybrids in sunflower. Seed and Plant Improvment Journal 19 (4): 513-527.
Ghaffari, M., Farrokhi, L, Mirzapour, M. 2011. Combining ability and gene action for agronomic traits and oil content in sunflower (Helianthus annuus L.) using F, hybrids. Crop breeding journal 1 (1): 75-87.
Kroonenberg, P. 1995. Introduction to biplots for G x E tables. Department of Mathematics, Research Report 51.
Maruthi Sankar, G., Narasimha Murthy, D., Vanaja, M., Raghuram Reddy, P. 1999. A multiple selection index for selecting sunflower genotypes using- principal component analysis. Indian Journal of Dryland Agricultural Research and Development 14 (2): 93-103.
Maruthi Sankar, GR., M. V, Maruthi, V., Reddy, PR., Murthy, DN. 2004. Selection of consistent plant traits for sunflower growth using principal component analysis. Helia 27 (41): 113-122.
Mohammadi, SA. 2003. Analysis of genetic diversity in crop plants-salient statistical tools and considerations. Crop science 43 (4): 1235.
Putt, E., editor. 1997. Early History of Sunflower: American Society of Agronomy, Madison, Wis. (USA).
Statgraphics. 2007. Statgraphics. Version 15.2.11: Stat Point Inc.
Tabrizi, HZ. 2009. Estimation of genetic diversity of sunflower single cross hybrids using principle components analysis. Research Journal of Biological Sciences 4 (9): 978-981.
Tersac, M., Vares, D., Vincourt, P. 1993. Combining-groups in cultivated sunflower populations (Helianthus annuus L.) and their relationships with the country of origin. Theoretical and Applied Genetics 87 (5): 603-608.