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Ibrahim Saygili, Ahmet Kinay, Dursun Kurt & Nejdet Kandemir

Genetic and agronomic diversity of Basma tobacco (Nicotiana tabacum L.) landrace in Turkey

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Résumé

Diversité génétique et agronomique du tabac (Nicotiana tabacum L.) de la variété Basma en Turquie

Description du sujet. En Turquie, les tabacs Basma ont été produits en tant que variétés locales. Cependant, on sait peu de choses sur la diversité génétique et agronomique de la variété locale de tabac Basma.

Objectifs. Le but de la présente étude était de déterminer le niveau de variation génétique des tabacs de type Basma utilisés dans la région de Tokat-Erbaa en Turquie, d'évaluer certaines lignées dans des conditions de terrain pour les variations agronomiques et de découvrir des lignées avec des caractères de rendement et de qualité supérieurs.

Méthode. Treize marqueurs de séquences répétées simples (SSR) ont été utilisés pour déterminer la diversité génétique parmi 40 plantes collectées dans les zones de production de tabac Basma avec le cultivar Xanthi-2A. Vingt-sept lignées différentes identifiées par les marqueurs SSR et le cultivar Xanthi-2A ont été évaluées sous les conditions de terrain dans trois zones de production de tabac Basma.

Résultats. Tous les marqueurs SSR (microsatellites) étaient polymorphes et les valeurs contenues d'information polymorphe (CIP) des marqueurs varient de 0,136 à 0,679 avec un total de 43 allèles. Il y avait des niveaux élevés de variation dans les caractères agronomiques étudiés. Les résultats des évaluations sur le terrain ont montré que la plupart des lignées avaient de bons caractères agronomiques et que certaines d'entre elles étaient considérablement de meilleure qualité que Xanthi-2A. Dans l'analyse en composantes principales réalisée avec les caractères agronomiques, les trois premières composantes ont expliqué 85,4 % de la variation totale.

Conclusions. Nous avons déterminé que les lignées 5, 7, 16, 19, 21 et 26 étaient des candidats-cultivars prometteurs avec de bonnes performances. Ces lignées pourraient être examinées davantage à des fins d'enregistrement ou pourraient être utilisées pour le développement de cultivars supérieurs.

Mots-clés : microsatellite, Solanaceae, produit non alimentaire, industrie du tabac, cigarette

Abstract

Description of the subject. In Turkey Basma tobaccos have been produced as landraces. However, little is known about the genetic and agronomic diversity of the Basma tobacco landrace.

Objectives. The aim of the present study was to determine the genetic variation level in Basma type tobaccos used in Tokat-Erbaa region of Turkey, to evaluate some lines under field conditions for agronomic variations and to find out lines with superior yield and quality characters.

Method. Thirteen simple sequence repeats (SSR) markers were used to determine the genetic diversity among 40 single plants collected from Basma tobacco production areas along with the cultivar Xanthi-2A. Twenty-seven different lines identified by SSR markers and cultivar Xanthi-2A were evaluated under field conditions in three Basma tobacco production areas.

Results. All SSR markers were polymorphic and PIC values of the markers ranged from 0.136 to 0.679 with a total of 43 alleles. There were high levels of variation in agronomic characters investigated. The results of the field evaluations showed that most lines had good agronomic characters and some of them were considerably better in quality than Xanthi-2A. In principal component analysis performed with agronomic characters, the first three components explained 85.4% of the total variation.

Conclusions. We determined that the lines 5, 7, 16, 19, 21 and 26 were promising cultivar candidates with good performance. These lines could be further examined for the aim of registration or could be used for development of superior cultivars. Microsatellites, Solanaceae, non-food products, tobacco industry, cigarettes

Keywords : genetic variation, leaf yield, microsatellite, principal component analysis

Received 8 September 2020, accepted 14 December 2021, available online 22 December 2021

This article is distributed under the terms and conditions of the CC-BY License (http://creativecommons.org/licenses/by/4.0)

1. Introduction

1Virginia, burley and oriental tobaccos are widely used in cigarette production around the world. Virginia and burley are large-leaf tobaccos, and are grown under heavy fertilization and irrigation. In contrast, oriental tobaccos are small-leaf quality type tobaccos grown under rainfed conditions with less fertilization. Basma type tobaccos (Nicotiana tabacum L.), a sub-group in the oriental type, have small- or medium-size leaves, which could be light red or dark yellow in color. Their most important feature in tobacco blends is pleasant aroma. Besides, they have a smooth texture, which could be thin or partly thick. Because of these characteristics, Basma type tobaccos are indispensable for special cigarette blends in tobacco industry (Camas et al., 2009). Turkey is a traditional producer of oriental tobaccos. These tobaccos are grown in production areas of Black Sea and Marmara regions of Turkey. Variation in local varieties grown in these production areas and maintained by farmers is a good resource for tobacco breeding.

2Local varieties or landraces are major sources of variation to be used in plant breeding. For an efficient use of landraces directly or as genetic resource, they need to be characterized (Kandemir et al., 2010). Although genetic variations are crucial in plant breeding (Zeba & Isbat, 2011), genetic mixtures within the production material compromise the yield and quality in agricultural production. Basma type tobacco in Turkey is also produced using landraces containing different genotypes (Kurt et al., 2021). Characterization of landraces reveals the genetic diversity within them, and allows isolation of genotypes with high performance. Implementing a production using isolated specific purelines from Basma tobaccos could boost yield and quality.

3DNA markers give information about variation level in a population based on allelic richness, heterozygosity and percentage of polymorphic loci (Avolio et al., 2012). DNA markers have been commonly used in determination of genetic diversity levels in different tobacco populations (Moon et al., 2009a; Moon et al., 2009b; Bindler et al., 2011; Darvishzadeh et al., 2013b). Unless supported with data from agronomic traits, information about the variation at DNA level is not very helpful for the use of germplasm resources in plant breeding (Varshney et al., 2010). The fact that each plant in a landrace could represent a different genotype (Alemayehu & Parlevliet, 1997) implies that a tremendous effort for field and quality tests is required to determine the performance of individual lines constituting a landrace. Evaluation of hundreds of lines in landraces could hinder a thorough evaluation of them due to small plot sizes and lack of replications, which is a major problem especially for agronomic traits with complex inheritance and high environmental interference. As a result, the lines with superior performance could be missed. DNA markers might help reduce the number of lines from a population systematically through determining and eliminating the identical or closely associated ones (Gross et al., 2012). Less number of lines for a detailed agronomic characterization might allow better performance tests without losing the lines with superior performance (Saygili et al., 2021).

4Widening and maintaining the genetic basis is crucial in plant breeding programs in that it serves as the source of new genes to be deployed for development of new varieties. The use of genetic resources in plant breeding depends on their characterization. Darvishzadeh et al. (2013a) characterized the genetic diversity in 100 oriental tobacco genotypes using agro-morphological characters, and found plant heights varying from 70.0 to 198.7 cm, leaf number per plant from 8.7 to 52.0, leaf widths from 10.7 to 33.3 cm and leaf lengths from 19.1 to 52.5 cm. Diversity analysis based on morphological characters showed that genotypes were clustered by their geographical distribution and growth parameters. In another study, Kalivas et al. (2016) examined a total of 34 tobacco genotypes, 28 of which were oriental, 5 flue cured virginia and 1 burley, for morphological and molecular markers. They identified genotypes which could be used as parents in future breeding programs. Porkabiri et al. (2019) carried out a morphological characterization study with 25 tobacco genotypes, and reported that leaf width and length parameters were the major determinants of ideal genotype with the highest yield. These results indicate that characterization of various genetic resources could help in widening the genetic basis for plant breeding programs.

5Modern tobacco cultivars are based on a few parental lines and their offspring (Yang et al., 2007; Moon et al., 2009a). New genetic resources are needed for the improvement of new tobacco cultivars. Landraces are used in the production of Basma type tobacco in a few regions of Turkey. Different genotypes within landraces used in the production could have important variations that could be used in crop improvement. The aim of the present study was to characterize the genetic variation level in Basma type tobaccos used in Tokat-Erbaa region of Turkey, and to evaluate lines under field conditions to identify ones with superior yield and quality characters.

2. Materials and methods

2.1. Plant material

6Basma type tobacco production areas in Erbaa district of Tokat Province (Figure 1), an area with intense Basma production, were surveyed for plants with different characteristics in flowering period, as well as morphological traits such as plant height, number, form, size and thickness of leaves, undulation of leaf margin and blistering of leaf blade. Selected plants were isolated using a paper bag to prevent outcrossing. Self-fertilized seeds of 40 single plants were harvested after they reached maturity. For DNA isolation, a few seeds were planted for each line and Xanthi-2A cultivar as the standard in peat pots containing peat and perlite (1:1), which were then thinned to a single plant for each line. The plants that were used for DNA extraction were grown, and their self-fertilized seeds produced by isolation of their flowers using paper bags were harvested and used in field trials.

Image 10000000000004FF00000275FA789B5160B9CB8D.jpgFigure 1. Map of the collection sites of the Basma lines in Tokat province of Turkey — Carte des sites de collecte des lignées Basma dans la province de Tokat en Turquie.

2.2. DNA isolation and SSR analysis

7DNA was isolated from young seedlings using Turkuaz genomic DNA extraction kit (Keskin et al., 2014). Before the DNA isolation, seedlings with two or three leaves were kept in dark for five days to reduce sugars and phenols which make good quality DNA isolation difficult. Quality of DNA were determined in 1% agarose gels run in 1 X TBE buffer while quantity of DNA was measured in a spectrophotometer (Thermo-Biomate 3) using quartz cuvettes. DNA concentration was adjusted to 50 ng·μl-1.

8Thirteen simple sequence repeats (SSR) or microsatellite markers with good quality and high polymorphic information content (PIC) value, which measures the polymorphism rate, were used. PT markers were from Bindler et al. (2007) and Bindler et al. (2011), while TM markers were from Tong et al. (2012). Polymerase Chain reactions (PCR) were performed according to Kandemir et al. (2010) with some modifications. PCR reactions were conducted in 25 μl volume, including 1 μl of genomic DNA (50 ng·μl-1), 250 nM each of the two primers, 0.2 mM each of the nucleotides, 10 x PCR buffer and one unit of Taq-DNA polymerase (Bioline). PCR conditions were as follows: 5 min at 94 °C, then 28 cycles of 30 s at 94 °C, 45 s at 55-60 °C depending on the primer, 30 s at 72 °C, and 5 min of final extension at 72 °C.

9DNA fragments produced in PCR were run on 3 or 5% MetaPhor agarose gels (Lonza cat no: 50180) in 1% TBE. PCR products were visualized with ethidium bromide added to gel and were observed using a gel image system (Vilber Lourmat CN-08). PCR products separated in gel were scored using BioCapt v.11.02 software.

10For SSR markers, the number of alleles and rare alleles and PIC were determined. The number of alleles is the total number of alleles identified per SSR locus (Darvishzadeh et al., 2013b). A rare allele is the one with less than 5% of frequency among all alleles of the loci (Moon et al., 2009b). While rare alleles of DNA marker are associated with lower PIC (Leigh et al., 2003), rare alleles of genes could be beneficial and need to be preserved (Whitlock et al., 2016). PIC values for each SSR marker were calculated using the formula:

11PIC = 1 − ∑ Pi2

12where Pi is the frequency of ith allele (Anderson et al., 1993).

2.3. Field experiments

13A total of 40 single plants were analyzed using SSR markers and 27 lines which were identified as unique genotypes based on SSR marker polymorphism were selected. These lines were evaluated under field conditions along with cultivar Xanthi-2A. Field trials were conducted in Bağpınar (40° 41’ 24.27” N and 36° 39’ 18.03” E, altitude 282 m) and Evciler (40° 36’ 53.82” N and 36° 36’ 16.71” E, altitude 494 m, figure 2) villages of Erbaa District of Tokat Province and in Kalkım village (39° 48’ 47.61” N and 27° 13’ 08.30” E, altitude 219 m) of Yenice District in Çanakkale Province. Climatic data of the experimental areas are given in figure 3, and soil analysis results are given in table 1.

Image 100000000000026A00000199D4824DFB7DD8A01B.jpgFigure 2. Image of some lines from field trial of Evciler location — Image de quelques lignes d’essais sur le terrain de l’emplacement d’Evciler.

Image 10000000000004C7000002137057FED763E229F2.jpgFigure 3. Climatic data for the experimental sites — Données climatiques pour les sites expérimentaux.

For Bağpınar and Evciler sites, data from Erbaa Meteorological Station was used, while for Kalkım data from Yenice Meteorological Station was used — pour les sites de Bağpınar et Evciler, les données de la station météorologique d’Erbaa ont été utilisées, tandis que pour Kalkım, les données de la station météorologique de Yenice ont été utilisées.

Image 10000000000004A00000018F06E29858A8A11E32.jpg

14Approximately 2,300 seedlings were grown for each line in polystyrene peat pots with float system under greenhouse conditions. The seedlings were transplanted to plots consisting of four rows of 5 m with 45 cm distances between rows. Plant spacing on the rows was 10 cm. A randomized complete block experimental design with three replications was used for all trials. The fertilizers (60 kg·ha-1 N and 40 kg·ha-1 P2O5) were applied before transplanting of the seedlings. Weeds were controlled manually twice during the growing season. Field trials were conducted under rainfed conditions without irrigation. Plant height, number of leaves per plant, leaf width and leaf length were measured in 10 plants per plot. Leaves were harvested three times and were dried under the sun. Dried leaf yields were calculated on 17% moisture basis.

15In expertise quality (quality grade index or organoleptic quality index) evaluation of dried leaves, harvests, size, texture, aroma, development of auricle, leaf shape, shape of the leaf tip, thickness of veins, color, brightness of the color, leaf integrity, defects and disease damage were evaluated. Grading was made using these characteristics based on American Grading system, and expertise quality score was determined as percentage. Expertise quality score is used to determine the purchasing price of oriental tobacco in Turkey, and is the consensus decision of three tobacco experts (Kinay et al., 2020).

2.4. Statistical analyses

16A hierarchical cluster (dendrogram) was constructed to represent similarity/diversity among lines based on SSR marker data with the unweighted pair group method using arithmetic mean (UPGMA) algorithm and relationships among the lines were calculated according to Nei (1978) using POPGENE v.1.31 software (Yeh et al., 1997). Data from the field trials were subjected to analysis of variance separately based on randomized complete blocks design using MSTAT-C software (Freed & Eisensmith, 1986) since the Bartlett variance homogeneity test showed that variances of the trials in locations were not homogeneous. Arcsine transformation was applied to percent values. Duncan multiple range test was used to compare genotype means. Principal component analyses (PCA) were conducted using Minitab V17 software.

3. Results

3.1. Genetic variations

17Thirteen SSR markers were used to determine the genetic diversity among 40 Basma single plants and a registered Basma variety (Xanthi-2A), and to identify genetically identical lines in an effort to reduce the number of the lines to be evaluated in field trials. All 13 markers studied showed polymorphism in our material. Calculated numbers of total and rare alleles, and PIC values are given in table 2. Thirteen SSR markers studied produced a total of 43 alleles (average 3.3 alleles per marker). None of the lines had heterozygous alleles of SSR markers. One marker produced five alleles, while four markers produced four alleles, six markers three alleles and two markers two alleles. Of the 43 total alleles, 10 were produced only in one genotype, and were considered rare alleles. PIC values of the markers ranged from 0.136 to 0.679.

18Based on the dendrogram prepared by SSR marker data, genotypes constituted four groups (Figure 4) It was revealed that lines no. 1, 22, 36, 37 and 40 were in fact the same as Xanthi-2A in the first group containing 15 lines. In the same group, lines 2, 13 and 24, lines 4 and 38, and lines 3 and 39 turned out to be the same genotypes based on the marker data. The second group had lines 5, 10, 12 and 17. The third group had 18 lines. In this group, lines 6 and 8, lines 18 and 20, lines 33 and 34 and lines 29, 30 and 31 were in fact identical genotypes. The fourth group had lines 19, 25, 26 and 27. As result, 13 out of 40 lines examined were identical with another line. Thus, of the 40 genotypes selected, 13 were redundant. In other words, out of 40 lines, 27 differed in at least one SSR allele and these lines were selected for agronomic evaluations.

Image 1000000000000169000001C48C586C8C70A00544.jpg

Image 10000000000004E9000004201B43CB0230E51A67.jpgFigure 4. Dendrogram based on SSR marker data — Dendrogramme basé sur les données des marqueurs SSR.

The lines with filled circles were selected for agronomic evaluation based on their genetic diversity — les lignées avec des cercles pleins ont été sélectionnées pour une évaluation agronomique en fonction de leur diversité génétique.

3.2. Agronomic variations

19Agronomic characterization of local varieties should be performed with reference to registered varieties. Identification of a line that is superior to any character over the registered varieties indicates that the population carries important alleles. Twenty-seven unique lines identified based on SSR markers and cultivar Xanthi-2A were evaluated under field trials in three locations and the data are given in table 3.

Image 10000000000002F700000247631E66616C33CBB6.jpg

Image 10000000000002F9000002585CC33127DC863EF5.jpg

20Significant differences were found among the genotypes for plant height in all locations (< 0.01). Based on the averages of all locations, plant height of the genotypes varied from 84.8 cm (line 28) to 139.6 cm (line 5). It was observed that all lines except for 3, 17, 28 and 32 were taller than Xanthi-2A. A difference of 54.8 cm between the lines with the highest and lowest plant height might indicated a high level of variation among the lines for this trait.

21Leaf numbers of the genotypes ranged between 23.3 (line 28) and 36.00 (line 5). Lines no 5 (36.0), 16 (34.1) and 10 (33.5) had considerably more leaves than Xanthi-2A (27.8). Leaf width varied from 10.6 cm (line 34) to 15.8 cm (line 30) and the average of all genotypes was 12.9 cm. All lines except for line 34 had larger leaves than that of Xanthi-2A. Leaf length varied between 20.3 cm (line 38) and 25.5 cm (line 16), and the average was 22.2 cm. All lines but lines 5, 9, 26, 36 and 39 had longer leaves compared to Xanthi-2A.

22Dried leaf yield of the lines showed a large variation ranging from 1.310 t·ha-1 (line 3) to 2.023 t·ha-1 (line 7) (average of all lines 1.843 t·ha-1). All lines except for 3 and 28 had yields higher than Xanthi-2A.

23Expertise quality score is a percentage value that represents the organoleptic evaluation by tobacco experts. It considers characteristics such as the color, aroma and strength of dried tobacco leaves. Expertise quality score of the genotypes varied between 46.1% (line 32) and 74.4% (line 21). Cultivar Xanthi-2A has an expertise quality score of 65.9%. Lines 19 (70.9%) and 21 (74.4%) had considerably higher expertise quality scores compared to cultivar Xanthi-2A. In addition, lines 26, 35, 7 and 15 had higher quality scores than Xanthi-2A.

24PCA was carried out to estimate the relative importance of the characters examined and their contribution to the total variance and to show the agronomic diversity among the 27 lines. The first three components whose Eigen value was ≥ 1 (Hagenblad et al., 2019) constituted 85.4% of the total variance. The first principal component (PC) explained 38.7% of the variance. Plant height, leaf number and dried leaf yields had the main contribution to the first PC. PC2 explained 30.1% of the variance. Most of this variance was constituted by leaf width and length (Figure 5). The third PC, which explained 16.6 % of the variation, had high loading from expertise quality score.

Image 10000000000001800000010775CC9B8808E001E8.jpgFigure 5. Loading plots for six agronomic traits — Parcelles de chargement pour six caractères agronomiques.

25Score plot illustrates the evaluation of lines based on all studied agronomic traits (Figure 6). Cultivar Xanthi-2A and lines 3, 28, 17, 30, 16, 5, 34, 38 and 36 are located on the corners of the polygon. These lines on the corners are the most responsive ones (Yan et al., 2000; Hagos & Abay, 2013). Line 3 had the lowest dried leaf yield, while line 5 had the highest plant height and leaf number, line 16 had the longest leaves, line 28 had the shortest plant and lowest leaf number, line 30 had the highest leaf width, line 34 had the lowest leaf width, and line 38 had the shortest leaves. Line 17 which did not have the highest or lowest value for any character but was on the corner of the polygon had acceptable or higher than the average values for all characters.

Image 10000000000001800000010775CC9B8808E001E8.jpgFigure 6. Score plots of Basma tobacco lines — Score plots des lignées de tabac Basma.

4. Discussion

26All markers studied had polymorphism among the lines. High polymorphism rate is possibly due to the fact that SSR markers used in the present study were selected among highly polymorphic ones reported in previous studies (Moon et al., 2009a; Moon et al., 2009b; Tong et al., 2012). We already showed their high polymorphism rates in another study of our group (Saygili et al., 2020). Average allele number in the present study (3.3) was somewhat lower than 6.8 reported by Fricano et al. (2012) who evaluated many different tobacco types. However, our average allele number was higher than 2.7 reported by Darvishzadeh et al. (2013a) who studied 100 tobacco genotypes of only one type, i.e., oriental and semi-oriental type. Average PIC value determined in the present study (0.463) was higher than the one reported by Davalieva et al. (2010), but lower than the one reported by Darvishzadeh et al. (2013a). However, compared to the results from relatively limited number of studies about tobacco genetic diversity (Yang et al., 2007; Davalieva et al., 2010; Darvishzadeh et al., 2013a), the variation level observed in our study could be regarded high for a local tobacco variety from a limited area.

27Dendrogram generated by SSR data with 40 lines studied revealed that 13 of the lines were identical. In other words, 27 Basma lines that were different for at least one allele of the 13 SSR markers were identified. The lines 1, 22, 36, 37 and 40 in the dendrogram which were collected from fields in four somewhat distant locations (Figure 1) were identical with Xanthi-2A cultivar. Xanthi-2A is a foreign cultivar, and was introduced into the region by tobacco supplier companies. It has been grown in the region for some time. Thus, our findings showed that this cultivar has spread throughout the region. Likewise, using DNA markers, Darvishzadeh et al. (2013a) revealed that one genotype from Iran was very similar to a foreign genotype from Russia. SSRs are reliable (Guney et al., 2018) and reproducible DNA markers (Darvishzadeh et al., 2011), and they allow identification and discarding of genetically identical lines within populations, or identification of lines genetically distant from others to be evaluated in field trials for more extensive tests. Eliminating the identical lines is a necessity for using the strong experimental designs with larger plots and replications which can handle only limited number of lines.

28Plant height of the lines had a wide variation (84.8-139.6 cm). Most lines were taller than Xanthi-2A (117.1 cm) grown in the region, and this finding might indicate that the farmers have favored these lines and multiplied their seeds since longer plants are preferred in Basma tobacco production. Indeed, longer plants have more leaves, and consequently their yields are higher (Kurt et al., 2020). Besides, hand-harvesting of Basma tobaccos is more difficult in shorter plants. Identification of lines with greater plant height could be useful in future tobacco breeding programs aiming to improve leaf yields and ease of harvesting.

29Leaf number has always been important in oriental tobaccos which have smaller leaves compared to the tobaccos with large leaf blades such as virginia and burley. Variation in leaf number among the Basma tobacco lines in the present study (23.3-36.0) could make an important contribution to the breeding of oriental tobaccos. Larger leaf size is associated with poor quality in oriental tobaccos (Kurt et al., 2020). Therefore, improving leaf yields should focus on increasing the number of leaves. However, in conditions with shorter growing periods, higher number of leaves in a plant could be undesirable since it could delay harvests (Wolf, 1949). Therefore, the variation observed among these lines could be used to increase the leaf number, a major yield component, in oriental tobaccos.

30Variations in local varieties that adapt to the region where they are grown are an important source for plant breeding through single plant selections among them. All lines except for 3 and 28 had higher average leaf yields than Xanthi-2A. These results indicated that there are some cultivar candidates among the lines with good yield potential. These lines could be registered and used directly as commercial varieties or used in future tobacco breeding programs. The lines 5, 7, 16, 17, 19, 21 and 26 are promising cultivar candidates with superior yield characters as well as with satisfactory quality traits.

31Oriental tobaccos have better quality characteristics compared to virginia and burley tobaccos (Kinay et al., 2020). Quality characteristics of Basma tobaccos, a sub-group in the oriental type, are even higher. The 37.6% difference between the lowest and highest expertise quality scores indicated the wide variation among the lines. Variations in this major quality trait of Basma tobaccos could be harnessed as a tobacco genetic resource. Local varieties have relatively high genetic variation, ease of hybridization and less problems from undesirable genes which could interfere with crop quality. Thus, use of local varieties in oriental tobaccos could increase the success of plant breeding efforts in this crop for which both yield and quality are essential.

32The first three PC explained 85.4% of the variation. The number of leaves, plant height and leaf yield were the characters that made up the major part of variation. Large variation in these characters is an expected result since Basma tobacco producers prefer high yielding, tall plants with more leaves for the ease of harvest. The finding that the variations of local varieties are higher for agronomic characters which farmers consider most was also reported by Zakova & Benkova (2006) and Yadav et al. (2018) in landraces of barley, a self-pollinating crop like tobacco.

33In deciding the lines to be further examined as cultivar candidates, they should be evaluated considering all characters. Sabaghnia et al. (2008) mentioned that PCA facilitates the identification of superior genotypes and the cultivar recommendation. The lines that appeared in the corners of the score plot in the present study were the lines with the lowest or highest values for the studied characters except for the quality traits. The results from the field studies showed that lines selected from local Basma tobacco population had better agronomic characters than a registered cultivar. These lines could be further examined in multilocational trials for the aim of registration or could be used as parents for the development of superior cultivars.

5. Conclusions

34In the present study, genetic, agronomic and quality characteristics of lines selected from Basma tobacco population in Tokat-Erbaa area, one of the few growing areas in the world for this type of tobacco, were studied. Characterization of lines with high yield and satisfactory quality characteristics from Basma local variety which could be used directly in tobacco production or in further tobacco breeding programs was the major outcome of the present study. These lines are now maintained as single plants with data about their characteristics, and are available for the use of plant breeders.

Acknowledgements

35We are grateful to Republic of Turkey Tobacco and Alcohol Market Regulatory Authority (TAPDK) for providing the fund for this research work.

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To cite this article

Ibrahim Saygili, Ahmet Kinay, Dursun Kurt & Nejdet Kandemir, «Genetic and agronomic diversity of Basma tobacco (Nicotiana tabacum L.) landrace in Turkey», BASE [En ligne], Volume 25 (2021), numéro 4, 279-290 URL : https://popups.ulg.ac.be/1780-4507/index.php?id=19398.

About: Ibrahim Saygili

Tokat Gaziosmanpaşa University. Faculty of Agriculture. Department of Field Crops. 60250 Tokat (Turkey). E-mail: ibrahimsaygili50@gmail.com

About: Ahmet Kinay

Tokat Gaziosmanpaşa University. Faculty of Agriculture. Department of Field Crops. 60250 Tokat (Turkey).

About: Dursun Kurt

Ondokuz Mayıs University. Vocational School of Bafra. 55400 Bafra, Samsun (Turkey).

About: Nejdet Kandemir

Tokat Gaziosmanpaşa University. Faculty of Agriculture. Department of Field Crops. 60250 Tokat (Turkey).