Studies on the Performance and Morphological Characterization of Okra (Abelmoschus esculentus L. Moench) Genotypes for Yield and Yellow Vein Mosaic Viruses

Kumar, Amit; Kumar, Randhir; Kumar, Amrendra; Tyagi, Sudhanshu; Solankey, SS; Roy, Chandan; Verma, R. B.

doi:10.20546/ijcmas.2017.607.133

Cited by 13 publications

(20 citation statements)

References 5 publications

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“…The chief role in genetic divergence analysis demonstrated by positively ters for different PCs. The above results are in conformity with theworkers[26], workers[27], Kumar and workers[22] and Solankey and Singh…”

supporting

confidence: 91%

“…Moreover, India share 72.9% of the world okra production and among Indian states, West Bengal (14% share) is leading in okra producer followed by Bihar (12% share). The main reasons for wide genetic diversity are geographically separation, genetic barriers to crossability, and different parents of evolution [6]. Genetic diversity is a key factor for crop improvement from which useful characters can be selected for developing broad-based populations to be used in hybridization programme towards improvement [7] and [8].…”

Section: Introductionmentioning

confidence: 99%

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Implication of Multivariate Analysis in Breeding to Obtain Desired Plant Type of Okra (Abelmoschus esculentus L. Moench

Kumari

Solankey

Kumar

et al. 2019

CJAST

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Twenty diverse okra genotypes were evaluated to assess the genetic diversity based on quantitative morphological and qualitative biochemical traits in a randomized block design during 2015-16. On the basis of D2 analysis, the 20 genotypes were clustered into five groups. Cluster I constituted the largest group (10 genotypes) followed by cluster II (7 genotypes). The cluster III, IV and V contains only 1 genotype in each cluster. Among phytochemical characters, carotenoids alone contribute highest percentage (39%) toward divergence, followed by chlorophyll a (31%) and anthocyanin (17%). The five principal components have accounted 81.19% of total variation and percent variation expected were 36.27% (PC1), 18.21% (PC2), 16.42% (PC3), 5.91% (PC4) and 4.38% (PC5), respectively. The PC1 has positive association with days to first flowering, followed by yield/plant, primary branches/plant, carotenoid and phenol contents. However, PC1 has negative association for fruits length, fruit diameter and ascorbic acid content. Therefore, the traits viz., days to first flowering, first flowering node and yield per plant should be given top priority in diverse parent selection for attempting high yielding along with important phytochemical properties in okra. Allocations of germplasm into different clusters were because of cumulative effect of number of characters.

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supporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Implication of Multivariate Analysis in Breeding to Obtain Desired Plant Type of Okra (Abelmoschus esculentus L. Moench

Kumari

Solankey

Kumar

et al. 2019

CJAST

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“…The phenotypic coefficient of variation (PCV) for all characters was higher than the genotypic coefficient of variation (GCV). Kumar et al (2015) also reported higher PCV (26.25%) than GCV (23.71%) for fruit yield in okra. Similar trend for GCV and PCV was also reported by Koundinya et al (2013) and Khajuria (2016).…”

Section: Resultsmentioning

confidence: 83%

“…The phenotypic coefficient of variability expressed in terms of percentage was comparatively high for plant canopy width, number of primary branches per plant, plant height, number of seeds per pod, fruit yield per plant; moderate for number of fruits/ plant and average fruit weight; moreover, low for days to first flowering, days to 50% flowering, first flowering node, fruit length and fruit diameter (Table 2). Kumar et al (2015) also reported low PCV for days to first flowering, days to 50% flowering and moderate for number of branches, number of fruits and fruit yield in okra. In any crop species, higher the coefficient of genetic variation greater will be the chances of improvement in that character.…”

Section: Resultsmentioning

confidence: 94%

“…Moreover, the average weight and number of fruits/plant have been consistently identified as critical determinants of fruit yield (Saifullah and Rabbani, 2009).As we know that India is the richest country for diverse genotypes of okra. Geographically separation, genetic barriers to crossability, and different parents of evolution are the main reason of genetic diversity (Kumar et al 2015). As well as success of the hybridization followed by selection depends largely on the selection of parents with high genetic diversity for traits of interest (Solankey el al., 2013).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of genetic variability and character association in okra genotypes for yield and contributing characters

Kumari

Solankey

Akhtar

et al. 2017

JANS

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A study of genetic diversity in 20 okra genotypes for 22 morphological and agronomic traits (13 quantita- tive and 9 qualitative) was laid out in randomized block design with three replications during 2015-16. The phenotyp- ic and genotypic variances, phenotypic (PCV) and genotypic coefficients of variation (GCV), heritability, genetic ad- vance of the characters were studied. The genotypes demonstrated wide range of variability for all characters. In this study PCV was higher than its corresponding GCV thus revealing the role of environmental factors. High heritability (h2b) was recorded for all characters except for days to first flowering (27.76%) and days to 50% flowering (34.67%) which have moderate values. Genetic advance in per cent of mean was high for all the characters ex- cept moderate for first flowering node (12.88%), fruit length (17.59%), fruit diameter (13.99%) as well as low for days to first flowering (1.69%) and days to 50% flowering (2.28%). The higher value of genetic advance indicates that selection of genotypes on the basis of these characters is desirable. Fruit yield showed positive and highly significant (at 1% level of significance) genotypic association with fruit diameter, number of fruits per plant, average fruit weight and number of seeds per pod. The genotypes, viz. Kashi Kranti, Kashi Satdhari, VROB-159, Punjab-8 and Kashi Mohini were found promising for most of the yield contributing traits. These genotypes could be used further in hybrid breeding programme.

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Interactive Effects of Genotype and Nitrogen on the Phenology and Yield Determination of Okra [Abelmoschus esculentus (L.)]

Fatima

Khan

Nadeem

et al. 2019

Int. J. Plant Prod.

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Studies on the Performance and Morphological Characterization of Okra (Abelmoschus esculentus L. Moench) Genotypes for Yield and Yellow Vein Mosaic Viruses

Cited by 13 publications

References 5 publications

Implication of Multivariate Analysis in Breeding to Obtain Desired Plant Type of Okra (Abelmoschus esculentus L. Moench

Implication of Multivariate Analysis in Breeding to Obtain Desired Plant Type of Okra (Abelmoschus esculentus L. Moench

Assessment of genetic variability and character association in okra genotypes for yield and contributing characters

Interactive Effects of Genotype and Nitrogen on the Phenology and Yield Determination of Okra [Abelmoschus esculentus (L.)]

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