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Estimations of fibre trait stability and type of inheritance in cotton

Author

Listed:
  • Vasileios GREVENIOTIS
  • Evangelia SIOKI

    (Cotton Centre, Hellenic Agricultural Organization - DEMETER, Karditsa, Greece)

  • Constantinos G. IPSILANDIS

    (Regional Administration of Central Macedonia, Thessaloniki, Greece)

Abstract

Traits affecting fibre quality were evaluated in a multi-location environmental experiment. Four main cotton regions in Greece were selected as different environments. Five commercial cotton cultivars were used for evaluation of 10 fibre quality traits. Each cultivar was sown in 10 different fields in each region. Environmental fluctuations within regions affected each quality trait differently showing a different degree of inheritance. Four traits showed the lowest stability index values indicating quantitative inheritance, further four traits with intermediate values indicated determination by a few genes, while the more stable and thus with qualitative inheritance traits were considered to indicate fibre maturity and uniformity. The mean estimation of stability in multi-location experiments was found the same as in multi-genotype evaluation. Two cultivars (Elsa and Celia) were found to be more stable across the Greek environments and two regions favoured stability for almost all traits. Correlations between regions were high and the same was found between genotypes.

Suggested Citation

  • Vasileios GREVENIOTIS & Evangelia SIOKI & Constantinos G. IPSILANDIS, 2018. "Estimations of fibre trait stability and type of inheritance in cotton," Czech Journal of Genetics and Plant Breeding, Czech Academy of Agricultural Sciences, vol. 54(4), pages 190-192.
  • Handle: RePEc:caa:jnlcjg:v:54:y:2018:i:4:id:12-2017-cjgpb
    DOI: 10.17221/12/2017-CJGPB
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    Cited by:

    1. Vasileios Greveniotis & Elisavet Bouloumpasi & Adriana Skendi & Athanasios Korkovelos & Dimitrios Kantas & Stylianos Zotis & Constantinos G. Ipsilandis, 2024. "Modeling Stability of Alfalfa Yield and Main Quality Traits," Agriculture, MDPI, vol. 14(4), pages 1-17, March.

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