scholarly journals Genetic diversity of Albanian pea (Pisum sativum L.) landraces assessed by morphological traits and molecular markers

2014 ◽  
Vol 50 (No. 2) ◽  
pp. 177-184 ◽  
Author(s):  
B. Gixhari ◽  
M. Pavelková ◽  
H. Ismaili ◽  
H. Vrapi ◽  
A. Jaupi ◽  
...  

In order to investigate the genetic diversity present in the pea germplasm stored in the Albanian genebank, we analyzed 28 local pea genotypes of Albanian origins for 23 quantitative morphological traits, as well as 14 retrotransposon-based insertion polymorphism (RBIP) molecular markers. The study of morphological characters carried out during three growing seasons (2010, 2011 and 2012) had the objective of characterization of traits useful in breeding programs. RBIP marker analysis revealed the genetic similarity in range from 0.06 to 0.45. ANOVA, principal component analysis (PCA) and cluster analysis was used to visualize the association among different traits. Most of the quantitative morphological traits showed significant differences. PCA and cluster analysis (Ward’s method) carried out for morphological traits divided the local pea genotypes into three clusters. Finally, the study identified the agronomicaly important traits which will facilitate the maintenance and agronomic evaluation of the collections.

2006 ◽  
Vol 131 (6) ◽  
pp. 770-779 ◽  
Author(s):  
Santiago Pereira-Lorenzo ◽  
María Belén Díaz-Hernández ◽  
Ana María Ramos-Cabrer

Morphological characters (six traits) and isozymes (four systems, five loci) were used to discriminate between Spanish chestnut cultivars (Castanea sativa Mill.) from the Iberian Peninsula. A total of 701 accessions (representing 168 local cultivars) were analyzed from collections made between 1989 and 2003 in the main chestnut growing areas: 31 were from Andalucía (12 cultivars), 293 from Asturias (65 cultivars), 25 from Castilla-León (nine cultivars), four from Extremadura (two cultivars) and 348 from Galicia (80 cultivars). Data were synthesized using multivariate analysis, principal component analysis, and cluster analysis. A total of 152 Spanish cultivars were verified: 58 cultivars of major importance and 94 of minor importance, of which 18 had high intracultivar variation. Thirty-seven cultivars were clustered into 14 synonymous groups. Six of these were from Galicia, one from Castilla-León (El Bierzo), four from Asturias, one from Asturias and Castilla-León (El Bierzo), and two from Asturias, Castilla-León (El Bierzo), and Galicia. The chestnut cultivars from Galicia and Asturias were undifferentiated in genetic terms, indicating that they are not genetically isolated. Overall, chestnut cultivars from southern Spain showed the least variation. Many (58%) of Spanish cultivars produced more than 100 nuts/kg; removing this low market-value character will be a high priority. The data obtained will be of use in chestnut breeding programs in Spain and elsewhere.


2020 ◽  
Vol 71 (2) ◽  
pp. 155
Author(s):  
Djihad Bellemou ◽  
Teresa Millàn ◽  
Juan Gil ◽  
Aissa Abdelguerfi ◽  
Meriem Laouar

Assessment of genetic diversity among chickpea (Cicer arietinum L.) germplasm at the morphological and molecular levels is fundamental for chickpea breeding and conservation of genetic resources. Genetic variability of 46 chickpea genotypes including 42 Algerian genotypes and four control varieties was evaluated by using 15 agro-morphological traits. Eleven molecular markers including nine simple sequence repeats, one sequence characterised amplified region (SCY17) and one gene-specific (CaETR4) were used to characterise the 46 genotypes and eight references varieties added for disease resistance or susceptibility. Genotypes resistant to ascochyta blight were identified by the markers SCY17 and CaETR4 present together. High diversity was observed for all measured morphological traits between genotypes. Yield components, plant height, phenological traits and growth habit were the traits most involved in variation among genotypes and were partitioned into four groups by using principal component analysis. All molecular markers were polymorphic. In total, 91 alleles were obtained ranging from 2 to 21 per locus with average of 8.27 alleles per marker. Polymorphism information content ranged from 0.58 to 0.99 with an average value of 0.87. UPGMA clustering and Bayesian-based model structure analysis grouped genotypes into two clusters, but the distribution of the genotypes by cluster was not the same for the two analyses. According to the presence of markers indicating resistance to ascochyta blight (SCY17 and CaETR4), three resistant genotypes (FLIP 82-C92, ILC 6909, ILC 7241) were selected and should be tested in controlled conditions for confirmation. Considering the narrow diversity of cultivated chickpea, the Algerian genotypes can be considered as interesting for future breeding programs.


Phytotaxa ◽  
2013 ◽  
Vol 145 (1) ◽  
pp. 1 ◽  
Author(s):  
Federico O. Robbiati ◽  
Alícia Lamarque ◽  
Ana M. Anton ◽  
Renée H. Fortunato

Multivariate and univariate analyses based on morphological characters and seed soluble protein electrophoretic profiles were carried out in order to understand the taxonomic status within the complex S. fabrisii-S. trichosepala. Twenty morphological characters from herbarium specimens were recorded and analyzed by ANOVA, principal component and cluster analysis. The seed protein electrophoretic analysis including cluster analysis was based on three populations: one of S. fabrisii and two of S. trichosepala. The results showed that both taxa differed only by three morphological features; in parallel, the CPA and CA demonstrate that no clearly separated group can be recognized. The seed protein electrophoretic profiles show a high degree of similarity. Based on these results, and due to the variability observed, the inclusion of S. fabrisii in the synonymy of S. trichosepala is proposed.


Author(s):  
Narendra Singh Rajpoot ◽  
M. K. Tripathi ◽  
Sushma Tiwari ◽  
R. S. Tomar ◽  
V. S. Kandalkar

The genus Brassica is one of the most important oil seed crops in India with high degree of genetic diversity. In present study, genetic diversity was studied in forty germplasm lines and eight cultivars of Indian mustard using morphological traits and SSR markers. Morphological characters were taken for days to 50% flowering, days to maturity, plant height (cm), length of main raceme (cm), number of primary branches/plant, number of secondary branches/plant, number of silique per plant, number of seeds per silique, 1000 seed weight (g) and seed yield per plant (g). Total 50 SSR markers were used for characterization of these lines, out of which 7 SSR markers were highly polymorphic between all the germplasms of mustard. An UPGMA phonogram was constructed for all 48 Germplasms and the similarity coefficient ranged from 0.00 to 0.91. Number of alleles ranged from 3 to 4, genetic diversity ranged from 71% to 65% with average value of 67%, heterozygosity raged from 20 to 10% with average of 12% and PIC value for markers ranged from 0.65 to 0.59 with mean PIC value 0.61. All seven SSR primers showed PIC value above 0.5 (50%) indicating high genetic diversity in the studied plant material.


2021 ◽  
Vol 948 (1) ◽  
pp. 012004
Author(s):  
I W Mulsanti ◽  
A Risliawati ◽  
N Yunani

Abstract The present study was carried out to characterize 103 Indonesian local rice germplasm on the basis of 20 agro-morphological traits. The local rice germplasm originated from Riau and Jambi province in Sumatera island. Principal Component Analysis (PCA) was used to analyzed 11 quantitative data. PCA explained the genetic diversity of the rice germplasm accession. Most of the morphological characters showed variation in different accession. PC1 and PC2 explained about 32.5% and 22.1% of the variability, respectively. PCI and PC2 mostly related with traits such as productive tiller number (PTN), vegetative tiller number (VTN), plant height (PH), and culm length (CL). PCA-Biplot showed accession from Jambi and Riau manage to be separated, even though the PCA percent is only 54.6%. Accession originated from Riau marked by number of tillers (PTN, VTN), and grain weight (GW) traits. Based on cluster analysis, rice germplasm grouped in to 4 main clusters. Most of the accession from Jambi and Riau grouped in the same cluster, which is cluster I. Whereas eight local accessions from Riau grouped in the same cluster separately (cluster II). Two accession which are Padi Jarum (Acc 2711) and Ketan Hitam (Acc 9300) are individually, separated from others.


Genetika ◽  
2013 ◽  
Vol 45 (3) ◽  
pp. 811-824 ◽  
Author(s):  
Danijela Ristic ◽  
Vojka Babic ◽  
Violeta Andjelkovic ◽  
Jelena Vancetovic ◽  
Snezana Mladenovic-Drinic ◽  
...  

Maize Research Institute ?Zemun Polje? genebank maintains a collection of landraces grouped into 18 agro-ecological collected from ex-Yugoslavia territories. The application and comparison of different marker systems are important for the characterization and use of maize landraces in breeding program, as potential sources of desirable traits. In this study, 15 morphological traits, 7 RAPD primers and 10 SSR primer pairs were applied to i) to determine genetic distance between 21 maize dent landraces and ii) compare results obtained on morphological and molecular markers. Phenotypic analysis showed high level of heterogeneity between landraces. Higher level of genetic diversity was obtained with SSR than with RAPD. Genetic distance mean value for RAPD data was 0.35 i.e. for SSR 0.48. Based on the morphological traits and molecular markers, unweighted pairgroup method (UPGMA) analysis was applied for cluster analysis, using statistical NTSYSpc program package. Cluster analysis of morphological and molecular markers distances did not show the same population grouping. Better agreement with agro-ecological data was obtained with RAPD markers. Correlations between dissimilarity matrices for different types of markers were low. Data obtained in this work could be useful for further study of a larger number of landraces, and conservation of genetic resources and their genetic diversity.


The Analyst ◽  
2000 ◽  
Vol 125 (11) ◽  
pp. 2044-2048 ◽  
Author(s):  
Concepción Domingo ◽  
Raul W. Arcis ◽  
Estrella Osorio ◽  
Manuel Toledano ◽  
Javier Saurina

2021 ◽  
Author(s):  
Luis Augusto Becerra Lopez-Lavalle ◽  
Adriana Bohorquez-Chaux ◽  
Xiaofei Zhang

The identification of cassava cultivars is important for understanding the crop’s production system, enabling crop improvement practitioners to design and deliver tailored solutions with which farmers can secure high yields and sustainable production. Across the lowland tropics today, a large number improved varieties and landraces of cassava are under cultivation, making it inefficient for breeders and geneticists to set improvement goals for the crop. The identification and characterization of cassava genotypes is currently based on either morphological characters or molecular features. The major aim of cultivar identification is to catalog the crop’s genetic diversity, but a consensus approach has still not been established. Of the two approaches to the identification of variety, morphological characters seem to account for most of the genetic variability reported in cassava. However, these characters must be treated with caution, as phenotypic changes can be due to environmental and climatic conditions as well as to the segregation of new highly heterozygous populations, thus, making the accurate identification of varieties difficult. The use of molecular markers has allowed researchers to establish accurate relationships between genotypes, and to measure and track their heterozygous status. Since the early 1990’s, molecular geneticists working with cassava have been developing and deploying DNA-based tools for the identification and characterization of landraces or improved varieties. Hence, in the last five years, economists and social scientists have adopted DNA-based variety identification to measure the adoption rates of varieties, and to support the legal protection of breeder’s rights. Despite the advances made in the deployment of molecular markers for cassava, multiple platform adoption, as well as their costs and variable throughput, has limited their use by practitioners of crop improvement of cassava. The post-genomic era has produced a large number of genome and transcriptome sequencing tools, and has increased our capacity to develop and deploy genome-based tools to account for the crop’s genetic variability by accurately measuring and tracking allele diversity. These technologies allow the creation of haplotype catalogs that can be widely shared across the cassava crop improvement community. Low-density genome-wide SNP markers might be the solution for the wide adoption of molecular tools for the identification of cultivars or varieties of cassava. In this review we survey the efforts made in the past 30 years to establish the tools for cultivar identification of cassava in farmer’s fields and gene banks. We also emphasize the need for a global picture of the genetic diversity of this crop, at its center of origin in South America.


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