CLUSTER ANALYSIS OF COTTON LINE TT-4 (CULTIVAR SP-04) BASED ON MEAN MAIN STEM HEIGHT AND WITHIN-SAMPLE VARIABILITY

The collected data for 80 samples of cotton line TT-4 were used to compare clustering based on mean main stem height and the coefficient of variation of this trait. Each parameter was separately to identify eight clusters using Ward's method. Samples with identical mean heights exhibited different levels of within-sample variability. The findings support the combined use of the mean and coefficient of variation for preliminary selection of samples with the target trait level and high phenotypic uniformity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23917545
Primary Topic
Research in Cotton Cultivation
Type
article
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article

CLUSTER ANALYSIS OF COTTON LINE TT-4 (CULTIVAR SP-04) BASED ON MEAN MAIN STEM HEIGHT AND WITHIN-SAMPLE VARIABILITY

Халикова Малохат Бабамурадовна, Turgun Bekkamovich Uzakov
Zenodo (CERN European Organization for Nuclear Research)
Research in Cotton Cultivation
article

CLUSTER ANALYSIS OF COTTON LINE TT-4 (CULTIVAR SP-04) BASED ON MEAN MAIN STEM HEIGHT AND WITHIN-SAMPLE VARIABILITY

Халикова Малохат Бабамурадовна, Turgun Bekkamovich Uzakov
article en

Abstract

The collected data for 80 samples of cotton line TT-4 were used to compare clustering based on mean main stem height and the coefficient of variation of this trait. Each parameter was separately to identify eight clusters using Ward's method. Samples with identical mean heights exhibited different levels of within-sample variability. The findings support the combined use of the mean and coefficient of variation for preliminary selection of samples with the target trait level and high phenotypic uniformity.

Zenodo (CERN European Organization for Nuclear Research)
Tashkent State Agrarian University (UZ)
Openalex Percentile: Top 17%
Research in Cotton Cultivation
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