Genetic diversity among landraces of cucumber (Cucumis sativus L.) from north east India (original) (raw)
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Electronic Journal of Plant Breeding, 2019
DIVA-GIS, a Geographical Information System is designed to assist the plant genetic resources and biodiversity communities to map the range of distribution of species in which they are interested. The regions where diverse accessions occur could be found by analysing the geographical diversity distribution. In the present study, 50 landraces of cucumber procured from ICAR-NBPGR, New Delhi was evaluated for six yield contributing traits in Augmented Block Design. To study the diversity and distribution of germplasm, geo-referenced points of the collection sites of the genotypes and the agromorphological data recorded were supplemented to shape files and map geo-referenced points using DIVA-GIS software. A wide range of variability was observed for the quantitative traits studied, as evidenced by the wide range of SDI for days to first harvest (0-0.350 to 1.356-2.000) to fruit length (0-0.450 to 1.840-3.000). Highest yield per plant was observed in IC613477 (2205.29 g), a collection from West Bengal and lowest in IC331627 (94.53 g), from Uttarakhand, with an overall mean of 1189.03 g. High SDI of 1.73 to 3.00 was recorded for accessions collected from Andaman and Nicobar Islands, Tripura and Uttarakhand for yield per plant. Collections from West Bengal, Tripura and Mizoram possessed diversity for days to first harvest, fruit weight, fruit diameter and yield per plant, as indicated by the appearance of red grids in these states for these characters. Hence, future germplasm collections can be targeted from these diversity rich states and adjoining areas.
The present study was conducted to assess the nature and magnitude of association among yield and its contributing traits in cucumber. The estimates of magnitude of phenotypic coefficient of variation (PCV) were higher than corresponding genotypic coefficient of variation (GCV) for all characters studied. High PCV and GCV value were obtained for the characters viz., number of fruit per plant, marketable yield per plant, nodal position of first female flower, internodal length, number of female flower per node, days to anthesis of first female flower, vine length and fruit weight. Correlation studies revealed that yield had significant positive association with number of fruits per plant, fruit girth, fruit weight and vine length and negative with nodal position of first female flower both at phenotypic and genotypic levels. Path coefficient analysis concluded that number of fruits per plant and fruit weight were the major traits contributing towards yield and selection based on these traits will be appropriate for increasing the yield of hybrid cucumber.
Scientia Horticulturae, 2013
Cucumber (Cucumis sativus L.) is one of the most economically important plants in many countries of the world. Thirty-eight cucumber accessions were evaluated for their genetic diversity using eight agroeconomic traits (yield, fruit weight, flesh pith width, flesh pith length, fruit length, harvesting period, number of fruits per plant, and fruit color) and 20 microsatellite markers. Phenotypic data were collected in field for nine crop cycles. The correlation analysis of phenotypic data revealed that yield significantly correlated with fruit weight, flesh pith length, fruit length, harvesting period, and number of fruits per plant. Genotypic data from SSR markers identified 36 polymorphic loci. The polymorphism information content (PIC) averaged at 0.33 and ranged from 0 to 0.62. Genetic diversity and principal component analysis showed three main clusters corresponding to cucumber country of origin. Interestingly, these clusters can also be grouped by several phenotypic traits including yield and number of fruits per plant. The data obtained from this study can be used to select the best parental lines for plant breeding program and for genetic improvement in cucumber.
Assessment of genetic variability in cucumber (Cucumis sativus L.)
International Journal of Chemical Studies, 2021
Information on genetic variability of yield and quality components is of vital importance in crop improvement programme. Plant breeding is mainly the exploitation of genetic variation and in view of the possible decline of variation breeders should always examine means of conserving variability and creating new germplasm. The extent of genotypic variability indicates the amenability of given character for its improvement. The present investigation was carried out during summer season of 2018 in Tarai region of Uttarakhand. The experimental material comprised of 36 genotypes including 8 parents and 28 F1 hybrids. Assessment of genetic variability parameters revealed that there is lot of variation present among the genotypes studied. In general, the value of phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the characters studied in the present findings, indicating the considerable influence of environmental factors on the p...
The objective of this study was to estimate the genetic variability , heritability , genotypic and phenotypic coefficients of variations , genetic advance , range , genotypic and phenotypic variances and to study the genetic divergence by using multivariate analysis for yield and yield components in forty selected lines of pearl millet during 2012 and 2013 summer seasons at Sakha Agriculture Research Station. Analysis of variance manifested highly significant differences among all selected lines for all the studied traits. The phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV). Heritability in broad sense ranged from 11.12%for fresh leaf/ stem ratio to 86.87% for stem diameter. High estimates of bread sense heritability were found in all the studied traits, except dry matter and fresh leaf/stem ratio which, were medium and low, respectably. The environmental variance ranged from 13.13% for stem diameter to 88.88% for fresh leaf / stem ratio. The results also cleared that the genetic advance ranged from 0.91% for fresh leaf / stem ratio to 24.72% for total fresh forage yield. The results cleared that the ascendant order of the importance of evaluated traits were, the first factor accounted 41.78% (number of tillers, plant height, total dry forage yield and total fresh forage yield) while, the second factor accounted 59.62% (dry matter, stem diameter and fresh leaf /stem ratio) of the multivariate variance. The forty selected lines were grouped into eight clusters based on dissimilarity coefficients. Thus, the pearl millet breeder would use these selected lines from divergent cluster for hybridization in order to isolate useful recombinants in the segregating generations.
International Journal of Chemical Studies, 2018
A field experiment was undertaken during the year 2017-2018 in kharif season at Kittur Rani Channamma College of Horticulture, Arabhavi to study the extent of genetic diversity existing in local cucumber collections. The experiment was laid out in randomized block designs with two replications. A total of 21 local collection of cucumber genotypes were used in the present study. Mahalanobis D 2 analysis indicated considerable diversity and 21 genotypes were grouped into six different clusters. The cluster II showed maximum (2242.20) intra cluster distance. Inter cluster distance revealed the maximum divergence between clusters IV and cluster III (D 2 = 32489.21) followed by cluster III and cluster II (D 2 = 24315.24). Among all the 19 productivity traits studied, flesh thickness, fruit diameter, fruit length and average fruit weight contributed greatly towards divergence. These traits may give more importance in selecting the genotypes the genotype KRCCH-CC-17 in cluster V recorded highest cluster mean. This genotype can be used as a base material for future breeding programme.
Genetic diversity assessment of cucumber (Cucumis sativus L.) genotypes using molecular markers
Electronic Journal of Plant Breeding, 2017
In the present investigation, 13 genotypes of cucumber were screened for genetic diversity using eight ISSR primers. The six ISSR primers generated 52 alleles. A total of 52 loci were amplified that exhibited 92.30 per cent polymorphism. A maximum of 11 loci were detected by the primer UBC-855 and UBC-890. Unique bands were also observed by the primers namely UBC-808, UBC-840, and UBC-855. The similarity value ranged from 22 per cent to 80 per cent with the average value of 46 per cent. The genotype Pgyn-1 was found most diverse than others with 33 per cent similarity. The 13 genotypes were grouped into two major groups (A and B) based on ISSR markers. Group A consisted of the most diverse genotype, Pgyn-1. Group B contained the maximum number of genotypes and further divided in two major sub clusters IB and IIB. Sub cluster IB includes small sub cluster of seven genotypes in which Pgyn-4 was found separately whereas, sub cluster IIB contained PCUC-35 and Punjab Naveen as well as shared the cluster genetically while they differ a lot in respect to visual identification.
Local varieties are genetically diverse and well adapted to local agro-ecosystems. Local varieties are closely associated with the livelihoods of the farmers.DNA polymorphism among local varieties of Cucumis satives was assessed using RAPD Local varieties that represent diverse cucumis-types were surveyed using 12 RAPD primers. This study was aimed at finding genetic diversity among 6 local cucumber varieties available in Karnataka state, Hassan district India. The technique was employed with RAPD analysis. DNA extracted from leaves of seedlings was assessed using polymerase chain reaction (PCR) with single 10- base oligonucleotide random primers to analysis genetic difference among varieties of cucumber.The OPA-19 primer recorded the highest polymorphism (86.6%) and OPA -12 the least (10%). Electrophoresis of amplified product revealed polymorphism among genetically related varieties. Around 130 bands different bands were observed under UV light. 115 bands were polymorphic for a specific primer and can be used as differential markers. The local names, place of cultivation and phenotypic characters expressed by the varieties were not suitable for varietal differentiation. The results of this study can serve determining genetic diversity among local varieties of cucumber in Karnataka state, Hassan district. India. KEY WORDS: RAPD, Cucumber, genetic diversity, dendrogram analysis
Morphologic and molecular assessments of cucumber (Cucumis sativus L.) landraces
Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 2020
In this study, 90 locally grown cucumber (Cucumis sativus L.) landraces were collected and morphologically characterized using 20 descriptors derived from UPOV (International Union for the Protection of New Varieties of Plants). Genetic diversity and relationships of the genotypes were revealed using 20 sequence-related amplified polymorphism (SRAP) marker combinations. The discrimination power of each polymorphic marker (estimated by the polymorphism information content) ranged from 0.15 to 0.99 with an average of 0.73. Dice's similarity coefficient ranged between 0.00-1.00. The cluster analysis that was conducted using the unweighted pair group method of arithmetic averages (UPGMA) for both molecular and morphologic data showed that all of the genotypes fell into two main groups and many subdivisions. According to morphological data, fruit length, diameter and weight of the genotypes were determined between 6.5 - 32.5 cm, 25 - 52 mm and, 28 - 625 g respectively. It is clear fr...