National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Information on the effect of different yield components on improvement of yield will be crucial in any selection programme. Thirty four genotypes of American cotton (Gossypium hirsutum L.) were utilized to study the genetic variability and correlation of yield, its components and fibre properties and data recorded were analyzed to understand the relative contribution of different yield components in enhancing the yield and fibre quality. Study revealed high heritability observed for days to first flowering, days to fifty percent flowering, number of monopodia per plant, number of bolls per plant, ginning percentage, upper half mean length, bundle strength, fibre fineness, uniformity index and seed cotton yield. Number of monopodia per plant, number of bolls per plant and seed cotton yield shows high heritability coupled with high genetic advance over mean indicating the preponderance of additive gene action in the inheritance of these traits. Traits such as days to first flowering, days to fifty percent flowering, ginning percentage, ginning percentage, upper half mean length, bundle strength and uniformity index in which high heritability accompanied by low genetic advance was recorded indicates the effect of non-additive gene action. Significant positive association of plant height, number of bolls per plant, boll weight and seed index was observed with seed cotton yield per plant. Association of traits inter se revealed the positive and significant association of number of bolls per plant with seed index; Boll weight with seed index, lint index; seed index with fibre fineness was observed. Path coefficient analysis revealed that days to first flowering, plant height and lint index have positive and very high direct effect on seed cotton yield. Information generated on the relationship between yield components, fibre quality and seed cotton yield will help the crop breeder in enhancing the efficiency of selection.
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