No abstract

The common bean (Phaseolus vulgaris L.) is the most consumed food legume in the world and is a major source of dietary protein, carbohydrates, and valuable micronutrients, especially in developing countries. Diversity Arrays Technology (DArTseq), based on genome reduction with restriction enzymes, provides a rapid, high-throughput, and cost-effective tool capable of generating thousands of genotyped single nucleotide polymorphisms (SNPs) for a genome-wide analysis of genetic diversity. In this study, we aimed to characterize common bean accessions using SNPs detected by a DArTseq approach. A total of 43,018 SNPs were identified from 173 common bean accessions, including Andean and Mesoamerican genotypes. After filtering raw and redundant data, a total of 16,366 SNPs were considered for further analyses. According to population structure analysis, the genotypes were roughly divided into 2 gene pools of Andean and Mesoamerican types. Pairwise fixation index (Fst) values were calculated to resolve the differentiation between populations. This study demonstrated that discovering SNPs from the whole genome is a potential resource for identifying naturally diverse accessions and also the information could be used in breeding programs to develop new common bean varieties.

No abstract

This study demonstrated that association mapping using a reasonable number of markers, distributed across the genome and with the appropriate number of individuals harboured to detect DNA markers linked to the traits of PF, SPP, PT, GH and DF in common bean.

The leafy vegetables contain high amount of mineral elements and health promoting compound. To solve nutritional problems in diet and reduced malnutrition among human population selection of specific cultivar among species would be help increasing elemental delivery in the human diet. While rocket plant observes several nutritional compounds no significant efforts have been made for genetic diversity for mineral composition of rocket plant accessions using multivariate analyses technique. The objective of this work was to evaluate variability for mineral accumulation of rocket accessions revealed by multivariate analysis to use further breeding program for achieve improving cultivar in targeting high nutrient concentration. A total twelve mineral element and twenty-three E. sativa accessions were investigated and considerable variation were observed in the most of concentration the principal component analysis explained that 77.67% of total variation accounted for four PC axis. Rocket accessions were classifies into three groups and present outcomes of experiments revealed that the first three principal components were highly valid to classify the examined accessions and separating mineral accumulations. Significant differences exhibited in mineral concentration among examined rocket accessions and the result could allow selecting those genotypes with higher elements

-Eruca sativa L. (rocket or arugula) and Diplotaxis tenuifolia L. (perennial wall-rocket)

No abstract

Mineral concentration levels in cultivated vegetables have received very little concern in the context of biodiversity despite the fact that most vegetables have a rich micronutrient composition. Swiss chard is an important salad crop which is high yielding and rich in minerals, vitamins and phenolic compounds. It is also extremely easy to grow. However, there is a lack of information on the genetic variability of mineral concentration of Swiss chard. Mineral composition diversity of 54 genetically diverse Swiss chard accessions, representative of all Turkish Swiss chard genetic resources, was investigated using multivariate analysis. These traits are useful in evaluating germplasm diversity in the nutritional concentration context and for use in further breeding programmes which will focus on improving mineral concentrations in Swiss chard cultivars. The results displayed significant differences among accessions and remarkably high nutrient contents. The data gathered were analyzed using principal components (PCs) and cluster analysis and revealed five major groupings. The data also observed 74.39% of total variation. The first three PCs accounted for 49.86% of the total variation in the population. Present values provided great variability among accessions and the results demonstrate that it is possible to identify genetic differentiation among Swiss chard accession for some nutritional elements. The genetic resources that exist indicate that potentially important accessions could be used as a gene source due to their high levels of K, Ca, Cu and Zn in breeding programmes.