GENETIC DIVERSITY IN LENTIL LANDRACES REVEALED BY DIVERSITY ARRAY TECHNOLOGY (DArT)

Ateş, Duygu

doi:10.17557/tjfc.656511

Cited by 5 publications

(4 citation statements)

References 48 publications

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“…Lentil ( Lens culinaris Medik.) is an annual, herbaceous, cool-season, autogamous (self-pollinated), and diploid legume with a 4 Gbps genome size that was domesticated during the same era with wheat and barley in the Fertile Crescent [ 1 , 2 ]. It is one of the oldest dry legumes domesticated about 9,000 years ago in the Near East and subsequently spread throughout the Mediterranean Basin and Central Asia [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Estimating genetic variability among diverse lentil collections through novel multivariate techniques

et al. 2022

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Lentil is an important food legume throughout the world and Pakistan stands at 18th position with 8,610 tons production from 17,457 hectares. It is rich in protein, carbohydrates, fat, fiber, and minerals that can potentially meet food security and malnutrition issues, particularly in South Asia. Two hundred and twenty lentil genotypes representing Pakistan (178), Syria (14), and the USA (22) including 6 from unknown origins were studied for yield, yield contributing traits, and cooking time (CT). Genotype 6122 (Pakistan) performed the best during both years with seed yield per plant (SY) 68±1.7 g, biological yield per plant (BY) 264±2.8 g, pod size (PS) 0.61±0.01 cm, number of seeds per pod (NSP) 2, cooking time (CT) 11 minutes, with no hard seed (HS). The genotypes 6122 (Pakistan) and 6042 (Syria) produced the highest BY, hence these have the potential to be an efficient source of fodder, particularly during extreme winter months. The genotypes 5698 (Pakistan) and 6015 (USA) were late in maturity during 2018–19 while 24783 and 5561 matured early in 2019. A minimum CT of 10 minutes was taken by the genotypes 6074 and 5745 of Pakistani origin. The lowest CT saves energy, time, and resources, keeps flavor, texture, and improves protein digestibility, hence the genotypes with minimum CT are recommended for developing better lentil cultivars. Pearson correlation matrix revealed significant association among several traits, especially SY with BY, PS, and NSP which suggests their use for the future crop improvement program. The PCA revealed a considerable reduction in components for the selection of suitable genotypes with desired traits that could be utilized for future lentil breeding. Structural Equational Model (SEM) for SY based on covariance studies indicated the perfect relationship among variables. Further, hierarchical cluster analysis establishes four clusters for 2017–18, whereas seven clusters for 2018–19. Cluster 4 of 2017–18 and cluster 5 of 2018–19 exhibited the genotypes with the best performance for most of the traits (SY, BY, PS, NSP, CT, and HS). Based on heritability; HSW, SY, BY, NSP were highly heritable, hence these traits are expected for selecting genotypes with genes of interest and for future lentil cultivars. In conclusion, 10 genotypes (5664, 5687, 6084, 6062, 6122, 6058, 6087, 5689, 6042 and 6074) have been suggested to evaluate under multi-location environments for selection of the best one/s or could be utilized in hybridization in future lentil breeding programs.

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Section: Introductionmentioning

confidence: 99%

Estimating genetic variability among diverse lentil collections through novel multivariate techniques

et al. 2022

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“…The RIL population derived from "Eston" × "PI320937" lentil parents was used in other studies to construct a consensus map using 9,793 DArT markers, identify QTLs associated with earliness, plant height using (AFLP, SSRs and RAPD markers), QTL analysis for selenium uptake (4 SSRs, and 1,780 SNPs), resistance to anthracnose (Colletotrichum lentis) and ascochyta blight (Ascochyta lentis) (RAPD and AFLP markers) and stemphylium blight resistance (Stemphylium botryosum) (Tullu et al, 2002;Tullu et al, 2006;Tullu et al, 2008;Podder, 2012;Ates et al, 2016;Ates et al, 2018;Ates, 2019).…”

Section: Resultsmentioning

confidence: 99%

INTEGRATION OF NOVEL SSR MARKERS INTO THE LENTIL (Lens culinaris Medik.) GENOME

Wakimwayi Koboyi,

Bakır

2024

Turkish Journal of Field Crops

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The development of Simple Sequence Repeat markers (SSRs) for lentil has played a pivotal role in enhancing the comprehension of the lentil genome through genetic mapping. The study aimed to determine the relative positions of newly developed microsatellites to the lentil genome using an F7-derived Recombinant Inbred Lines population (RIL) of 71 individuals developed from a cross between Eston and PI320937. Molecular analysis was performed with 100 newly developed lentil SSR markers and a linkage map was constructed using MapMaker/EXP 3.0b and MapChart 2.2 software. Among the 100 SSR markers, 12 markers exhibited polymorphism, 54 markers were identified as monomorphic, and 34 markers remained unamplified. While 10 out of the 12 polymorphic markers successfully integrated into two linkage groups, covering a cumulative length of 19.2cM, two markers remained unlinked. Linkage group-1, comprised of 8 markers, spanned 4.8cM, and linkage group-2 extended over a length of 14.4cM with two markers. Despite only partially representing 2 out of the 7 chromosomes in the lentil genome, this map holds promise for future mapping studies. Through the addition of markers, it could facilitate marker-assisted selection and the identification of QTLs associated with specific agronomic traits.

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“…Lentil (Lens culinaris Medik) is an annual, herbaceous, cool-season, autogamous (self-pollinated) and diploid legume with 4 Gbp genome size 1,2 . It is domesticated with wheat and barley.…”

Section: Introductionmentioning

confidence: 99%

Estimating genetic variability among diverse lentil collections through novel multivariate techniques

Iqbal

Hussain

Akbar

et al. 2021

Preprint

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Lentil is a significant legume crop throughout the world where Pakistan stands at 18th position with 8610 tons from 17457 hectares. It is nutritionally rich in protein, carbohydrates, mineral, fat and fiber that can potentially meet food security resolving malnutrition issues. Lentil 220 collections representing Pakistan 184, Syria 14, USA 22 and 04 of unknown origin were studied for high yield, yield contributing traits and early cooking time. Results revealed high variability, 6122 (Pakistan) was considered as best during both years due to its performance as seed yield (68 ± 1.7), biological yield (264 ± 2.8), pod size (0.61 ± 0.01), seed per pod (2), cooking time (11 minutes) and hard seed (0). Comparatively 6122 (Pakistan) and 6042 (Syria) produced the highest biological yield which could also be an efficient source for fodder. 5698 (Pak) and 6015 (USA) took 161–172 days in 2018 while 24783 (unknown) and 5561 (Pak) were matured early in 2019. Lowest cooking time 10 minutes was observed in 6074 and 5745 of Pakistani origin. Lentil with the lowest cooking time saves energy and resources, develops adequate flavor, texture and improves protein digestibility. Pearson correlation matrix, Principal component analysis, structural equational model, cluster analysis, heritability showed promising results. In conclusion 12 genotypes were selected on high yield potential and recommended for lentils breeding including 5664, 5687, 6084, 6062, 6122, 6058, 6087, 5689, 6042, 6074, Markaz 2009 & Punjab 2009.

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GENETIC DIVERSITY IN LENTIL LANDRACES REVEALED BY DIVERSITY ARRAY TECHNOLOGY (DArT)

Cited by 5 publications

References 48 publications

Estimating genetic variability among diverse lentil collections through novel multivariate techniques

Estimating genetic variability among diverse lentil collections through novel multivariate techniques

INTEGRATION OF NOVEL SSR MARKERS INTO THE LENTIL (Lens culinaris Medik.) GENOME

Estimating genetic variability among diverse lentil collections through novel multivariate techniques

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