PATH ANALYSES OF YIELD AND YIELD-RELATED TRAITS OF COMMON VETCH (Vicia sativa L.) UNDER DIFFERENT RAINFALL CONDITIONS

Öz

This research was conducted to determine characters effecting seed yield in common vetch varieties by using simple correlation coefficient, path analysis and stepwise analysis under different rainfall conditions (high, middle and low; 707.9, 597.1, and 319.5 mm, respectively). The experiment design were randomized block design with three replications. Experiments were established in Çarşamba, Bafra and Gökhöyük in the growing season of 2003-2004. Seed yield was significantly correlated with harvest index and days to maturity in high and middle rainfall conditions. It was significantly correlated with all components except pod number and 1000-seed weight in low rainfall conditions. Harvest index and biologic yield had substantial direct effects on enhancement of seed yield under all rainfall conditions. Stepwise multiple regression analysis showed that 95.78 % of total variation in seed yield could be explained by the variation in biologic yield, pod number, days to maturity and harvest index in high rainfall conditions. It showed that 98.21 and 98.24 % of total variations in seed yield could be explained by the variation in biologic yield, pod number and harvest index in middle and low rainfall conditions respectively. Results suggest that harvest index and biologic yield are primary selection criteria for improving seed yield in common vetch in the high, middle and low rainfall conditions

Anahtar Kelimeler

• Common vetch, seed yield and components, correlation coefficient, path and stepwise analyses

Öz

Bu araştırma farklı yağış koşullarında (yüksek, orta ve düşük; sırasıyla 707.9, 597.1 ve 319.5 mm) korelasyon katsaysı, path ve stepwise analizleri kullanılarak yaygın fiğin tohum verimine etki eden karakterlerin belirlenmesi amacıyla yürütülmüştür. Denemeler tesadüf blokları deneme deseninde 3 tekrarlamalı olarak Çarşamba, Bafra ve Gökhöyük’te 2003-2004 yetiştirme peryodunda kurulmuştur. Yüksek ve orta yağış koşullarında tohum verimi hasat indeksi ve olgunlaşma gün sayısı ile önemli ilişki göstermiştir. Düşük yağış koşullarında ise tohum verimi bin tane ağırlığı hariç diğer tüm karakterlerle önemli derecede ilişkiye sahip olmuştur. Tüm yağış koşullarında hasat indeksi ve biyolojik verim tohum veriminin artmasına direkt olarak etki etmiştir. Stepwise analizi sonuçlarına göre, yüksek yağış koşullarında tohum verimine % 95.78 oranında biyolojik verim, bakla sayısı, olgunlaşma gün sayısı ve hasat indeksi etki ederken, orta yağış koşularında tohum verimine % 98.21 ve düşük yağış koşullarında % 98.24 oranında biyolojik verim, bakla sayısı ve hasat indeksi etki etmiştir. Yüksek, orta ve düşük yağış koşullarında yaygın fiğin tohum verimini artırmak için hasat indeksi ve biyolojik verim birincil derecede seleksiyon kriteri olarak kullanılabilir

Anahtar Kelimeler

• Yaygın fiğ, tohum verimi ve öğeleri, korelasyon katsayisi, path ve stepwise analizleri

Kaynakça

1. Açıkgöz, E., Turgut, İ. and Ekiz, H. 1989. Variation of seed yield and its compenents in common vetch under different conditions. XVI. International Grassland Congress. Nice-France. 641-642.
2. Albayrak, S. and Ekiz, H. 2004. Determination of characters regarding to hay yield using correlation and path analysis in some perennial forage crops. Turkish Journal of Agricultural Science. 10 (3): 250-257.
3. Albayrak, S., Sevimay, C.S. and Töngel, M.Ö. 2003a. Determination of characters regarding to seed yield using correlation and path analysis in inoculated and non-inoculated common vetch. Turkish Journal of Field Crops. 8 (2). 76-84.
4. Albayrak,S ve M.Ö. Töngel. 2003b. Fiğ hatlarında tohum verimi ve bazı bitkisel özellikler. GAP III. Tarım Kongresi. 02-03 Ekim 2003, Şanlıurfa, 213- 218.
5. Albayrak,S ve M.Ö. Töngel. 2003c. Fiğ hatlarının Samsun koşullarına adaptasyonu. Türkiye 5. Tarla Bitkileri Kongresi, Diyarbakır. (1): 326-330.
6. Çakmakçı, S., Aydınoğlu, B. and Karaca, M. 2003. Determining relationships among yield and yield components using correlation and path analysis in summer sown common vetch (Vicia sativa L.) genotypes. Pakistan Journal of Botany. 35(3): 387- 400.
7. Çakmakçı, S., Ünay, A. and Açıkgöz, E. 1998. An investigation on determination of characters regarding to seed and straw yield using different methods in common vetch. Turkish Journal of Agriculture and Forestry. 22, 161-165.
8. Dewey, D.R. and Lu, K.H. 1959. A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal. 51, 515-518.

9. Bakheit, B.R. 1988. Variation, correlation and path coeficient analysis in some world varieties of alfalfa. Journal of Agricultural Sciences. 149-163.
10. Ball, R.A., McNew, R.W., Vories, E.D., Keisling, T.C. and Purcell, L.C. 2001. Path analyses of population density effects on short-season soybean yield. Agronomy Journal. 93:187–195.
11. Bhatt, G.M. 1973. Significance of path coefficient analysis determining the nature of character association. Euphytica. 22, 89-97.
12. BellidoL.L., Fuentes, M. and Castillo, J.E. 2000. Growth and yield of white lupin under mediterranean conditions. Effect of plant density. Agronomy Journal. 92:200-205.
13. Board, J.E., Kang, M.S. and Harville, B.G. 1997. Path analyses identify ındirect selection criteria for yield of late planted soybean. Crop Science. 37: 879-884.
14. Gravois, K.A. and McNew, R.W. 1993. Genetic relationships among and selection for rice yield and yield components. Crop Science. 33:249–252.
15. Kang, M.S., Miller, J.D. and Tai. P.Y.P. 1983. Genetic and phenotypic path analyses and heritability in sugarcane. Crop Science. 23:643-647.
16. SAS Institute. 1998. INC SAS/STAT users’ guide release 7.0, Cary, NC, USA
17. Samonte, S.O., Wilson. L.T. and McClung, M. 1998. Path analyses of yield and yield-related traits of fifteen diverse rice genotypes. Crop Science. 38: 1130-1136.
18. Seker, Y. and Serin, Y. 2004. Explanation of the relationships between seed yield and some morphological traits in smooth bromegrass (Bromus inermis Leyss.) by path analysis. European Journal of Agronomy. 21: 1-6.
19. Sindhu, J.S., Singh, O.P. and Singh, K.P. 1985. Components analysis of the factors determining grain yield in faba bean (Vicia faba L.). FABIS- Newsletter ICARDA. Faba bean Imformation Service. 13: 3-5.
20. Sinebo, W. 2002. Yield relationships of barleys grown in a tropical highland environment. Crop Science 42:428-437.
21. Singh, K.B. and Chaudhary, B.D. 1977. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers. New Delhi-India, 304p.
22. Yücel, C. 2004. Correlation and path coefficient analyses of seed yield components in the narbon bean (Vicia narbonensis L.). Turkish Journal of Agriculture and Forestry. 28, 371-376.