Correlation and Path Analysis in China Aster  [Callistephus chinensis (L) Nees]

Naikwad, D.; Kandpal, Kavita; Patil, Manthu Gouda; Hugar, Ashok; Kulkarni, V. J.

doi:10.20546/ijcmas.2018.702.401

Cited by 2 publications

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“…The results suggested that there had been change in both magnitude and direction. Similar results have been reported by Khangjarakpam (2015), Rai et al (2017) and Naikwad et al (2018) in China aster; Singh et al (2014) and Choudhary et al (2015) in marigold.…”

Section: Path Coefficient Analysis For Various Traits In China Astersupporting

confidence: 88%

Genetic variability, character association and path coefficient analysis in China aster (Callistephus chinensis)

et al. 2019

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Forty-two genotypes of China aster [Callistephus chinensis (L.) Nees] were evaluated in RBD with two replications for growth, flowering, yield and postharvest traits to determine the variability, heritability, genotypic and phenotypic coefficient of variation, correlation and path coefficient among 13 quantitative traits, based on which selection may be made. The study was carried out at the Division of Floriculture and Medicinal Crops, ICAR-Indian Institute of Horticultural Research, Hesaraghatta, Bengaluru during 2015â€“16 and 2016â€“17. Results revealed that magnitude of the phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) for all the traits. High (>20%) PCV and GCV was recorded for plant height, number of leaves per plant, plant spread, flower stalk length, 100 flower weight, number of flowers per plant and weight of flowers per plant. Heritability estimates ranged from 92.32% (number of leaves per plant) to 99.84% (100 flower weight). High heritability coupled with high genetic gain as per cent of mean was recorded for all the traits studied. The weight of flowers per plant was significant and positively correlated with all the economic traits, except for shelf life. Path coefficient analysis using correlation coefficients revealed that number of flowers per plant contributed highest positive direct effect on weight of flowers per plant, followed by weight of 100 flowers. Therefore, the selection on the basis of traits, viz. plant height, number of leaves per plant, plant spread, flower stalk length, 100 flower weight, number and weight of flowers per plant will be more effective for improvement of traits in breeding of China aster.

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Section: Path Coefficient Analysis For Various Traits In China Astersupporting

confidence: 88%

Genetic variability, character association and path coefficient analysis in China aster (Callistephus chinensis)

et al. 2019

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“…Similar results were recorded by Poornima et al, (2006); Harishkumar et al, (2018) and Tirakannanavar et al, (2015) in China aster. The results of positive and highly significant correlation of total number of flowers per plant with plant height, plant spread in East-West, plant spread in North-South, number of branches andseed yield per plant were in agreement with earlier results reported in china aster (Harishkumar et al, 2018;Tirakannanavar et al, 2015;Naikwad et al, 2018). Similar results were also observed by Vikas et al, (2011) in dahlia.…”

Section: Resultssupporting

confidence: 92%

Evaluation of different China aster (Callistephus chinensis L. Nees) genotypes in the Terai region of West Bengal

Mughali,

Sarkar,

Goutham Kishore

et al. 2024

ECJ

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The experiment was laid out in Randomized Completely Block Design with three replications. Sixteen genotypes namely, Arka Poornima, Arka Archana, Arka Aadya, Arka Kamini, Arka Shashank, Phule Ganesh White, Phule Ganesh Pink, Phule Ganesh Purple, Phule Ganesh Light pink, Pink Cushion, Arabhavi Aster Collection-1 (AAC-1), Namadhari Pink, Selected line (L-76), Selected line (L-179), Selected line (L-179/1) and Selected line (L-56) have been collected from IIHR, Hessaraghata Lake, Bengaluru, Karnataka for the trial.The different morphological, phenological as well as floral traits have been collected during the crop period which showed significant variation among the evaluated China aster genotypes. The maximum number of flowers per plant was recorded in ‘Arka Aadya’ (71.40) and ‘Arka Shashank’ (66.27) statistically at par with ‘Arka Aadya’ and the highest vase life as cut flower was noticed in Arka Shashank (11.67 days). Flower diameter was maximum in Phule Ganesh White (8.29 cm) which was at par with Arka Poornima (6.92 cm) and Phule Ganesh Purple (6.53 cm). Among the all genotypes, the maximum weight of ten fresh flowers were observed in Arka Poornima (54.17 g) which was statistically at par with Phule Ganesh White (53.61 g). These characters are considered to be very important with respect to commercial value of the variety for fulfil the consumers demand. The genotypes Arka Poornima, Phule Ganesh White, Arka Shashank, Arka Kamini and Arka Aadya may be recommended for commercial cultivation as loose flowers as well as cut flowers in the Terai region of West Bengal.

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Correlation and Path Analysis in China Aster [Callistephus chinensis (L) Nees]

Cited by 2 publications

References 0 publications

Genetic variability, character association and path coefficient analysis in China aster (Callistephus chinensis)

Genetic variability, character association and path coefficient analysis in China aster (Callistephus chinensis)

Evaluation of different China aster (Callistephus chinensis L. Nees) genotypes in the Terai region of West Bengal

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