Correlation and Path Coefficient Analysis in Vegetable Amaranth (Amaranthus tricolor L.) Genotypes

Tejaswini, N; Reddy, K. Ravinder; Saidaiah, P.; Ramesh, T.

doi:10.20546/ijcmas.2017.606.355

Cited by 11 publications

(7 citation statements)

References 5 publications

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“…Similar results were noticed by Varalakshmi and Devaraju (2010), Tejaswini et al, (2017) and Panda (2015).…”

Section: Resultssupporting

confidence: 89%

“…This vividly suggests the possibility of simultaneous improvement of these traits in improving total foliage yield per plant. Similar results were reported by earlier workers viz., Jangde et al, (2017), Buhroy et al, (2017), Sarker et al, (2014), Tejaswini et al, (2017), Chattopadhyay et al, (2013), Sarker et al, (2016), Buhroy et al, (2017), Diwan et al, (2017), Sarker et al, (2016) and Chattopadhyay et al, (2013) for stem girth, Varalakshmi and Devaraju (2010), Ahammed et al, (2012), Buhroy et al, (2017) and Sarker et al, (2016) for number of branches per plant, Yashwanth (2009) andSingh (2010) for spike length and Sravanti (2011), Sarker et al, (2014) and Roni (2013) for leaf area. While, plant height, days to flower initiation and 50% flowering, harvest index, protein, iron and oxalate content of leaves had no significant association with foliage yield per plant.…”

Section: Resultsmentioning

confidence: 99%

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Genotypic Correlation Coefficients among Growth, Yield and Quality Parameters in Amaranthus Genotypes (Amaranthus tricolor L.)

Sagar¹,

Hanchinamani²,

Imamsaheb³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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“…Similar results were noticed by Varalakshmi and Devaraju (2010), Tejaswini et al, (2017) and Panda (2015).…”

Section: Resultssupporting

confidence: 89%

Section: Resultsmentioning

confidence: 99%

Genotypic Correlation Coefficients among Growth, Yield and Quality Parameters in Amaranthus Genotypes (Amaranthus tricolor L.)

Sagar¹,

Hanchinamani²,

Imamsaheb³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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“…The positive correlations between vegetable yield and branch number per plant in the wet-cool season trials agree with results reported by Dinssa et al (2018). Tejaswini et al (2017) reported positive correlation between vegetable yield and each of leaf width, leaf length, and plant height, and negative correlation between vegetable yield and number of branches.…”

Section: Discussionsupporting

confidence: 89%

Yield of Vegetable Amaranth in Diverse Tanzanian Production Environments

Dinssa¹,

Hanson²,

Ledesma

et al. 2019

hortte

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Amaranth (Amaranthus sp.) is an important leafy vegetable in Africa where most farmers grow unimproved landraces. Information about amaranth genetic diversity and its adaptation to different environments will help breeders develop improved commercial varieties that meet market requirements. The objectives of this study were to investigate the performances of amaranth entries for vegetable yield across locations and seasons, assess the relative contributions of genetic vs. environmental sources of variation to yield, and cluster locations into mega-environments (MEs) to suggest future test sites. Twenty-six diverse entries were evaluated for vegetable yields in replicated trials at five locations in wet-cool and hot-dry seasons in Tanzania. Season explained the highest proportion (52.1%) of the total sum of squares followed by entries (24.9%) and locations (23.0%). Mean yield across the hot-dry season trials (27.7 t·ha−1) was 47.3% greater than the mean yield across wet-cool season trials (18.8 t·ha−1). Differences among entries in vegetable yield were higher in the hot-dry season than in the wet-cool season, indicating that gain from selection is likely to be greater in the hot-dry season. Most entries performed well in either wet-cool or hot-dry season but a few entries were adapted to both seasons. Two MEs were identified, one characterized by lower altitudes, higher temperatures, and less fertile soils, and a second ME associated with higher altitudes, lower temperatures, and more fertile soils. Each ME may serve as an initial selection site for their respective target environment. Targeting a specific season may give a better chance of finding high-yielding varieties.

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“…Therefore, it can be concluded that strains with high yields will be identified through selection based on any one of these traits, either individually or in combination. Ahammed et al [18], Kendre et al [19], Jakhwal et al [20], Shukla et al [21] and Tejaswini et al [22], were found similar trends in their investigation.…”

Section: Correlation Coefficientsupporting

confidence: 59%

Genetic Variability, Heritability, Correlation and Path Coefficient Analysis in Amaranth (Amaranthus spp.) in Western Uttar Pradesh (India)

Tomar

Kumar

Singh

et al. 2022

IJECC

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The field experiment was conducted during Rabi season in 2021-22 in randomized block design with three replications. Total 19 diverse germplasm of Amaranth were studied for 12 growth and yield parameters. Analysis of variance for 19 genotypes of Amaranthrevealed significant difference for all the 12parameters, which indicated the presence of wide spectrum of variability among the genotypes. The phenotypic coefficient of variation (PCV) was higher than the respective genotypic coefficient of variation (GCV) for all the traits. High heritability and genetic advance as per cent of mean were observed for all twelve characters. The highest heritability was recorded in biological yield per plant 99.49%and lowest for days to germination 69.95%. Correlation coefficient studies indicated that genotypic correlation coefficient was found to be higher than phenotypic correlation coefficients for most of the characters, indicating a strong inherent association between various characters and due to which it is affected by environmental components in regard to phenotypic expression. Seed yield expressed highly significant and positive correlation with plant height and biological yield per plant at both genotypic and phenotypic level, which implies that these characters were the primer contributing factors to seed yield. All the combination of traits should be considered, while breeding programme for selecting high yielding genotypes and suitable for breeders to achieving improved plant type. Path coefficient analysis revealed that highest positive direct effect on seed yield kg per ha was observed for biological yield per plant, seed yield per plant, number of leaves per plant, days to maturity, days to germination, inflorescence length, fresh leaf weight and plant height. Improvement of these characters might be improved.

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Correlation and Path Coefficient Analysis in Vegetable Amaranth (Amaranthus tricolor L.) Genotypes

Cited by 11 publications

References 5 publications

Genotypic Correlation Coefficients among Growth, Yield and Quality Parameters in Amaranthus Genotypes (Amaranthus tricolor L.)

Genotypic Correlation Coefficients among Growth, Yield and Quality Parameters in Amaranthus Genotypes (Amaranthus tricolor L.)

Yield of Vegetable Amaranth in Diverse Tanzanian Production Environments

Genetic Variability, Heritability, Correlation and Path Coefficient Analysis in Amaranth (Amaranthus spp.) in Western Uttar Pradesh (India)

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