spring-summer, 2018 and data were recorded on marketable yield and related traits. The analysis of variance revealed that mean sum of squares due to genotypes were significant for all the characters namely days to anthesis of first female flower, nodal position of first female flower, number of female flowers per node, days taken to first fruit harvest, fruit length (cm), fruit girth (cm), fruit weight (g), number of fruits per plant, marketable yield per plant (kg), harvest duration (days), internodal length (cm), vine length (m), total soluble solids (°Brix), incidence of powdery mildew disease (%) and incidence of downy mildew disease (%) that indicated the presence of sufficient genetic variability in the germplasm. Based upon overall performance, genotypes viz., Kian, DDPCG1 and Rucha found to be the most promising for marketable yield per plant as compared to other genotypes and Kian also outperformed for number of fruits per plant, fruit weight, fruit girth and vine length. High PCV and GCV estimates were obtained for number of female flowers per node which indicated that there is substantial variability ensuring ample scope for improvement of this trait through selection. High heritability coupled with high genetic advance was observed for number of female flowers per node and marketable yield per plant which indicated the importance of additive gene action for the inheritance of these traits and further improvement could be done through phenotypic selection." /> Genetic Evaluation for Fruit Yield and Related Traits in Parthenocarpic Cucumber
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For more details click here

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Int.J.Curr.Microbiol.App.Sci.2020.9(10): 1388-1404
DOI: https://doi.org/10.20546/ijcmas.2020.910.166


Genetic Evaluation for Fruit Yield and Related Traits in Parthenocarpic Cucumber
Palvi Mehta* and Parveen Sharma
Department of Vegetable Science and Floriculture, College of Agriculture, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur- 176062, India
*Corresponding author
Abstract:

The present investigation entitled, "Genetic evaluation for fruit yield and related traits in parthenocarpic cucumber" was undertaken at ‘Vegetable Research Farm’ of the Department of Vegetable Science and Floriculture, CSKHPKV Palampur with the objectives to estimate nature of variation and to identify the most promising genotypes of parthenocarpic cucumber. The experimental material comprising of 12 genotypes including two checks were evaluated in Randomized Block Design with three replications during spring-summer, 2018 and data were recorded on marketable yield and related traits. The analysis of variance revealed that mean sum of squares due to genotypes were significant for all the characters namely days to anthesis of first female flower, nodal position of first female flower, number of female flowers per node, days taken to first fruit harvest, fruit length (cm), fruit girth (cm), fruit weight (g), number of fruits per plant, marketable yield per plant (kg), harvest duration (days), internodal length (cm), vine length (m), total soluble solids (°Brix), incidence of powdery mildew disease (%) and incidence of downy mildew disease (%) that indicated the presence of sufficient genetic variability in the germplasm. Based upon overall performance, genotypes viz., Kian, DDPCG1 and Rucha found to be the most promising for marketable yield per plant as compared to other genotypes and Kian also outperformed for number of fruits per plant, fruit weight, fruit girth and vine length. High PCV and GCV estimates were obtained for number of female flowers per node which indicated that there is substantial variability ensuring ample scope for improvement of this trait through selection. High heritability coupled with high genetic advance was observed for number of female flowers per node and marketable yield per plant which indicated the importance of additive gene action for the inheritance of these traits and further improvement could be done through phenotypic selection.


Keywords: Parthenocarpic cucumber, Variability, Yield, Heritability, Genetic advance
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How to cite this article:

Palvi Mehta and Parveen Sharma. 2020. Genetic Evaluation for Fruit Yield and Related Traits in Parthenocarpic.Int.J.Curr.Microbiol.App.Sci. 9(10): 1388-1404. doi: https://doi.org/10.20546/ijcmas.2020.910.166