Different Approaches of the Improvement Process in Some Local Okra Varieties

Düzyaman, Eftal; Vural, Hasan

doi:10.17660/actahortic.2002.579.20

Cited by 10 publications

(9 citation statements)

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“…Group A harbored 2 African varieties, 1051 Togo and 1159 Togo. 1051 Togo is a robust okra line from West Africa with broad leaves and thick fruits and has also been found as a distinct line in many other studies (Hamon and Charrier, 1983;Hamon and Noirot, 1991;Düzyaman and Vural, 2002; Yildiz M, Ekbiç IE, Duzyaman E, Serçe S and Abak K, unpublished results). These two varieties were introduced in Turkey and used in breeding programs by different researchers.…”

Section: Discussionmentioning

confidence: 70%

“…African varieties Red Balady and 803 Burkina Faso possessed anthocyanin in the fruit stem and tip of pod and showed close similarity in the cluster analysis. Some morphological studies suggest that Turkish okra germplasm resembles the African and, to a lesser extent, the Indian germplasm (Ariyo, 1987;Düzyaman and Vural, 2002;Düzyaman, 2005). Group B consisted of 11 varieties, all from Turkey.…”

Section: Discussionmentioning

confidence: 99%

“…However, Turkey has not been the center of origin or diversity for okra. To date, only a few studies have been conducted using the Turkish okra germplasm (Martin et al, 1981;Düzyaman and Vural, 2002). Sequence related amplified polymorphism (SRAP) analysis was performed on 21 Turkish and 2 USA originated okra genotypes (Gulsen et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Genetic bottlenecks in Turkish okra germplasm and utility of iPBS retrotransposon markers for genetic diversity assessment

2015

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ABSTRACT. Lack of requisite genetic variation in Turkish okra has necessitated the use of different types of markers for estimating the genetic diversity and identifying the source of variation. Transposable elements, present abundantly in plant genomes, generate genomic diversity through their replication and are thus an excellent source of molecular markers. We hypothesized that inter-primer binding site (iPBS)-retrotransposons could be the source of variation because of their genome plasticity nature. In the present study, genetic diversity of 66 okra landraces was analyzed using iPBS-retrotransposon markers. iPBS-retrotransposons detected 88 bands with 40.2% polymorphism and an average of 6.8 bands per primer. Gene diversity and Shannon's information index ranged from 0.01 to 0.13 and 0.02 to 0.21 for iPBS-retrotransposons and from 0.06 to 0.46 and 0.14 to 0.65 for simple sequence repeat (SSR) markers, respectively. Polymorphism information content value for retrotransposons varied between 0.12 and 0.99, while that for SSR was from 0.52 to 0.81. Neighbor joining analysis based on retrotransposons and SSRs divided all the accessions into 10589 Utility of iPBS retrotransposons in okra ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (3): 10588-10602 (2015) four clusters; however, SSR markers were more efficient in clustering the landraces based on their origin. Using the STRUCTURE software for determining population structure, and two populations (at the number of hypothetical subpopulations, K = 2) were identified among the landraces. Low genetic diversity in Turkish okra highlights the need for the introduction of plants from countries with greater genetic diversity for these crops. This study also demonstrates the utility and role of iPBS-retrotransposons, a dominant and ubiquitous part of eukaryotic genomes, for diversity studies in okra.

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Section: Discussionmentioning

confidence: 70%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic bottlenecks in Turkish okra germplasm and utility of iPBS retrotransposon markers for genetic diversity assessment

2015

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“…Crop improvement through successful selection programme is only achieved using valid information about the correlation and genetic variability of traits of interest knowing full well that improvement in any crop is dependent on the amount of genetic variability in the population. (Duzyaman and Vural, 2002) reported that, phenotypically varied genotypes most probably of diverse source are often regarded as more effective in obtaining capable crosses. Therefore the aim of this study is to evaluate the nature of genetic variability, heritability and characteristics association of some quantitative traits in a cultivated variety of okra for possible improvement in Research Article quality of yield and yield components so as to enhance productivity and subsequently improve income generation to the local producers.…”

Section: Introductionmentioning

confidence: 99%

Heritability, Correlation and Path Coefficient Analysis in Fifty Seven Okra Genotypes

Ahamed

Akter

Ara

et al. 2015

Int J Appl Sci Biotechnol

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A study was undertaken to analyses the heritability, correlation and path co-efficient for growth and fruit characteristics in fifty seven okra(Abelmoschus esculentus Lam) genotypes grown at Plant Genetic Resources Centre, Regional Agricultural Research Station, BangladeshAgricultural Research Institute during kharif season of 2013. The highest range of variation was recorded in average fruit weight (18.25-25.41g), followed by yield per plant (98.90 – 1650.00g). The highest GCV (46.70 %) and PCV (47.72 %) were recorded for fruit yield perplant while both were lowest for days to maturity (8.07 % and 8.25 %). High heritability coupled with high or moderate degree of geneticadvance was estimated in plant height (99.82 % and 205.06), number of fruits per plant (99.53% and 203.63%), number of leaves per plant(99.57% and 204.49%), number of seeds per fruit (99.73% and 205.44%), leaf length (98.22% and 198.52%), leaf diameter (98.91% and203.76%), 100-seed weight (98.12% and 202.13%) and yield per plant (95.76 % and 197.26%). The highest positive correlation were observedbetween number of fruits per plant and yield per plant (r = 0.99**) and between number of fruits per plant and 100-seed weight (r = 0.44**).Also results showed that significantly positive correlation were between 100-seed weight and yield per plant (r = 0.44**), 100-seed weight andleaf length (r =0.42**), 100-seed weight and leaf diameter (0.38**), number of leaves per plant and 100-seed weight (r = 0.28*), 100-seedweight and plant height(r =0.40**), 100-seed weight and fruit length (r =0.28*). Significantly positive correlations were also observed for plantheight and number of fruits per plant, number of leaves per plant and yield per plant. The path coefficient analysis was done to determine directand indirect effects of traits on fruit yield. Direct significant positive and negative effect of number of fruits per plant (-0.091), 100-seed weight(0.174), number of seeds per plant (-0.213), average fruit yield (-0.310) towards yield.DOI: http://dx.doi.org/10.3126/ijasbt.v3i1.12142 Int J Appl Sci Biotechnol, Vol. 3(1): 127-133

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“…In a comparative study including several genotypes from diverse origins, D€ uzyaman and Vural (2002) reported that morphological traits of Turkish okras resemble more closely to the genetic material from Africa then that from India. Crosses between lines from India with those from Turkey were more promising in overall performance than were those between two Turkish lines, or between two Indian lines or those between Turkish and West African lines.…”

Section: Introductionmentioning

confidence: 99%

Phenotypic Diversity within a Collection of Distinct Okra (Abelmoschus esculentus) Cultivars Derived from Turkish Land Races

Düzyaman

2005

Genet Resour Crop Evol

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Ten traditional, Turkish okra cultivars (Bat Trakya, Akko¨y 41, Kabakl II, Denizli, Denizli uzun, Bornova (TR-57377 and TR-57420), Amasya Ç ic¸ek, Balkesir T-1, A! glasun/Burdur) and one commercial cultivar (Sultani/May Seed Company) were selected to represent the variability within domestic okra germplasm from the Anatolian Plateau. Replicated field trials were conducted to evaluate a total of 21 morphological, horticultural and physiological characteristics. Principal component (PC) analysis revealed that first two PC axes explained 49.66% of the total multivariate variation with the first six PC axes explaining 84.23%. The first PC axis separated number of locules, mature pod length and internode length, while the second PC axis separated pod yield/plant, pod number/plant, pedicel length and number of branches. All 21 characters were statistically significant among the cultivars and had at least one high coefficient in at least one of the first six PC axes, which demonstrated that all of them served as distinguishing characters among the cultivars. By using the unweighted pair-group method with arithmetic average four main clusters were consistently formed across all years. The four clusters were also related to the eco-geographic distribution of the cultivars. Each cluster members were also described for their main characteristics, which also provide useful criteria for further evaluation of okra germplasm across Turkey.

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Different Approaches of the Improvement Process in Some Local Okra Varieties

Cited by 10 publications

References 0 publications

Genetic bottlenecks in Turkish okra germplasm and utility of iPBS retrotransposon markers for genetic diversity assessment

Genetic bottlenecks in Turkish okra germplasm and utility of iPBS retrotransposon markers for genetic diversity assessment

Heritability, Correlation and Path Coefficient Analysis in Fifty Seven Okra Genotypes

Phenotypic Diversity within a Collection of Distinct Okra (Abelmoschus esculentus) Cultivars Derived from Turkish Land Races

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