International Journal of Innovative Approaches in Agricultural Research
Abbreviation: IJIAAR | ISSN (Online): 2602-4772 | DOI: 10.29329/ijiaar

Original article    |    Open Access
International Journal of Innovative Approaches in Agricultural Research 2019, Vol. 3(2) 183-192

Evaluation of New Cotton Linesin View of Selection

Valentina Dimitrova, Minka Koleva & Ana Stoilova

pp. 183 - 192   |  DOI:

Published online: June 30, 2019  |   Number of Views: 57  |  Number of Download: 497


The selection value of 8 new cotton lines and the standard variety was studied on the base of significant differences between the most important agronomic characters and their phenotypic stability, over a four-year period 2014-2017. The years of the investigation appeared to be as different ecological environments. Four stability parameters - bi (Finlay and Wilkinson, 1963), σ2i and S2i (Shukla, 1972) and YSi (Kang, 1993) were used. It was found that the studied cotton lines interacted significantly with the environmental conditions (years) in terms of total yield, boll weigt, fiber length and lint persentage. All lines had bigger breeding value than the standard cultivar Chirpan-539 exceeding it by one or more traits.  In a complex assessment as best line for the studied period outlined No. 550 distinguished by 9.7% higher yield than the standard, 0.4 mm longer fiber and 1.2% higher lint percentage. This line showed stability for the ball weight and fiber length, and responsiveness above the average to the environmental conditions for the seed cotton yield and lint percentage, but both traits were with low stability. Lines Nos. 553 and 426 showed a high average level and high stability for yield, Nos. 489 and 535 – for ball weight, No. 553 – for fiber lint percentage and No. 489 – for fiber length, which makes them very valuable for the selection of these traits. A complex breeding value (average level and stability) for all studied traits was found for line No. 553. 

Keywords: G. hirsutum L., Genotype-inveronment interaction, Phenotypic stability, Agronomic traits

How to Cite this Article

APA 6th edition
Dimitrova, V., Koleva, M. & Stoilova, A. (2019). Evaluation of New Cotton Linesin View of Selection . International Journal of Innovative Approaches in Agricultural Research, 3(2), 183-192. doi: 10.29329/ijiaar.2019.194.4

Dimitrova, V., Koleva, M. and Stoilova, A. (2019). Evaluation of New Cotton Linesin View of Selection . International Journal of Innovative Approaches in Agricultural Research, 3(2), pp. 183-192.

Chicago 16th edition
Dimitrova, Valentina, Minka Koleva and Ana Stoilova (2019). "Evaluation of New Cotton Linesin View of Selection ". International Journal of Innovative Approaches in Agricultural Research 3 (2):183-192. doi:10.29329/ijiaar.2019.194.4.

  1. Balakrishna, B., V. Chenga Reddy and M. Lal Ahamed (2016). Stability analysis for seed cotton yield & its component traits in inter-specific hybrids of cotton (G. hirsutum × G. barbadense). Green Farming, 7 (5), 1013-1018  [Google Scholar]
  2. Baxevanos, D., C. Goulas,, J. Rossi and E. Braojos (2008). Separation of cotton cultivar testing sites based on representativeness and discriminating ability using GGE biplots. Agron. J., 100, 1230-1236 [Google Scholar]
  3. Becker, H.C. and  J. Leon (1988). Stability analysis in plant breeding. Plant Breeding, 101, 1-23. [Google Scholar]
  4. Eberhart, S.A and W.A. Russell (1966). Stability parameters for comparing varieties. Crop Sci., 6, 36-40. [Google Scholar]
  5. Farias, F.J., L. P. Carvalho, J.L. Silva Filho and P.E.  Teodoro (2016). Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso. Genet. Mol. Res., 15 (2), gmr.15028009  [Google Scholar]
  6. Fasoula, V.A. (2013). Prognostic breeding: A new para¬digm for crop improvement. Plant Breeding Rev., 37, 297–347 [Google Scholar]
  7. Fasoulas, A.C. (1988). The Honeycomb Methodology of Plant Breeding. Thessaloniki, Aristoteles University of Thessaloniki.  [Google Scholar]
  8. Finlay, K.W. and G.N. Wilkinson (1963). The analysis of adaptation in a plant-breeding programme. Aust. J. Agric. Res., 14, 742-754. [Google Scholar]
  9. Greveniotis, V., E. Sioki and C G. Ipsilandis (2018). Estimations of Fibre Trait Stability and Type of Inheritance in Cotton. Czech J. Genet. Plant Breed., 54, 2018 (1): 00–00 Short Communication  [Google Scholar] [Crossref] 
  10. Gauch, H.G., Jr. and R.W. Zobel (1988). Predictive and postdictive success of statistical analyses of yield trials. Theor. Appl. Genet. 76,  1-10.  [Google Scholar]
  11. Güvercin, R.Ș.,  E. Karademir ,  Ç. Karademir ,  N. Özkan,  R. i and G.  Borzan  (2017). Adaptability and stability analysis of some cotton (Gossypium hirsutum L.) cultivars in East Mediterranean and GAP region (South-Eastern Anatolia Project) conditions. Harran Tarım ve Gıda Bilimleri Dergisi/ Harran J. Agric. Food Sci., 21 (1): 41-52.  [Google Scholar]
  12. Kang, M. S. (1993). Simultaneous selection for yield and stability and yield statistic. Agron. J., 85, 754-757. [Google Scholar]
  13. Killi, F. and E. Harem (2006). Genotype X environment interaction and stability analysis of cotton yield in Aegean region of Turkey. J. Environ.  Biol., 27 (2), 427-430. [Google Scholar]
  14. Lin, C. S., M. R. Binns, and L. P.  Lefkovich (1986). Stability analysis: Where do we Stand. Crop Sci., 26,  894-900. [Google Scholar]
  15. Maleia, M.P., A. Raimundo, L. D. Moiana, J. O. Teca, F. Chale, E. Jamal, J. N. Dentor and B. A. Adamugy (2017). Stability and adaptability of cotton (Gossypium hirsutum L.) genotypes based on AMMI analysis. Aust. J. Crop Sci., 11 (4), 367-372. [Google Scholar]
  16. Orawu, M., G. Amoding, L. Serunjogi, G. Ogwang, C. Ogwang (2017). Yield stability of cotton genotypes at three diverse agro-ecologies of Uganda. J. Plant Breeding Genet., 5 (3), 101-114. [Google Scholar]
  17. Shukla, G. K. (1972). Some statistical aspects of partitioning genotype–environmental components of variability. Heredity, 29, 237-245.  [Google Scholar]
  18. Singh S., V.V. Singh and A.D. Choudhary (2014). Genotype × environment interaction and yield stability analysis in multienvironment. Trop. Subtrop. Agroecosyst., 17, 477 – 482. [Google Scholar]
  19. Stoilova, A. and I. Saldzhiev (2015). Interspecific hybridizacion in cotton and its use in breeding. Agric. Sci. Techn., 7 (1), 49-60. [Google Scholar]
  20. Xu, N., M. Fok., G. Zhang., J. Li. and Z. Zhou (2013). The application of GGE Bi-plot analysis for evaluating test locations and mega-environment investigation of cotton regional trials. J. Integr. Agric., 13(9), 1921-1923.  [Google Scholar]
  21. Westcott, B. (1986). Some methods of analysing genotype - environment interaction. Heredity, 56, 243-253. [Google Scholar]
  22. Yan. W., L.A. Hunt, Q. Sheng and Z. Szlavnics (2000). Cultivar evaluation and mega-environment Investigation based on the GGE biplot. Crop Sci., 40, 597-605. [Google Scholar]