Rice landraces have been developed through artificial selection imposed by farmers during the long-term domestication process. Although the global rice diversity is well characterized, few studies have conducted an in-depth analysis of genetic diversity on a local scale. In India, there are many locally adapted non-Basmati aromatic rice landraces in which the pace of improvement is slow, despite their high economic values. The aromatic and quality rice landraces of Manipur, locally called Chakhao (delicious), are important, considering their high economic and cultural values. To conserve and encourage improvement of these landraces, we collected Chakhao accessions from eight districts of Manipur. The aim of the current study was to investigate the level of genetic diversity and structure of 37 Chakhao landraces based on genotyping with 47 microsatellite markers. The genetic diversity analysis revealed high gene diversity (0.673) within the Chakhao population, with values ranging from 0.303 (Poireiton) to 0.471 (mixed Chakhao). The Chakhao rice accessions could be divided into six subgroups based on genetic structure analyses. The population structure derived from the STRUCTURE analysis largely correlated with the farmers' classification of Chakhao landraces. The results of genetic diversity analyses and the indigenous knowledge of the names and use of Chakhao landraces would facilitate the conservation and utilization of this unique genetic resource.

Olea europaea L. has been cultivated in the Mediterranean region for thousands of years and is of major economic importance. The origin of olive cultivars remains as complex to trace as their identification. Thus, their molecular characterization and discrimination will enable olive germplasm management. In addition, it would be a useful tool for authentication of olive products. High-resolution melting (HRM) analysis, coupled with five microsatellite markers, was integrated to facilitate molecular identification and characterization of main O. europaea cultivars collected from the National Olive Tree Germplasm Collection established in Chania, Greece. The five microsatellite loci used were highly informative and generated a unique melting curve profile for each of the 47 cultivars and for each microsatellite tested. In particular, three microsatellite markers (DCA03, DCA09 and DCA17), which generated 29 HRM profiles, were sufficient to genotype all the olive cultivars studied, highlighting their potential use for cultivar identification. Furthermore, this assay provided a flexible, cost-effective and closed-tube microsatellite genotyping method well suited for molecular characterization of olive cultivars.

Faba bean (Vicia faba L.) is one of the most important legumes in the world. Little is known about the genetic resources of faba bean in Southern Tunisia. In the present study, genetic diversity within Tunisian faba bean germplasms was investigated using 16 simple sequence repeat markers. In total, 50 alleles were detected. The number of alleles per marker ranged from 2 to 6, with an average of 3. Genetic diversity and polymorphism information content values averaged, respectively, 0.43 (range 0.34–0.51) and 0.36 (range 0.28–0.43). The mean heterozygosity value was 0.27. A model-based structure analysis based on neighbour-joining tree and factorial correspondence analysis revealed the presence of two subpopulations, consistent with the clustering based on genetic distance (GD). The overall Fis value was 0.36, indicating the importance of selfing in these populations. Analysis of molecular variance revealed that the within-population genetic variance component was much higher than the between-population or between-subpopulation variance component. The genetic relationships based on Nei's GD revealed that AGD (Aguadulce) and SAG (Super Aguadulce) and TF1 and TF2 (Tafartassa-Gafsa) were the most closely related populations. Assessment of genetic variation within faba bean populations will be informative for the conservation of germplasms and the implementation of effective breeding programmes in Tunisia.

The USA is experiencing a prolific invasion of the wood-boring emerald ash borer, Agrilus planipennis. Native to Asia, this beetle completes its life cycle on ash trees and results in nearly complete mortality of all infested trees. In the present study, we examined the levels of genetic diversity and differentiation among eight populations of Fraxinus pennsylvanica (green ash) using five polymorphic microsatellite loci. Genetic information was used to design guidelines for the establishment of a seed collection sampling strategy to conserve the genetic diversity of ash trees. We found high levels of genetic diversity, as indicated by the allelic richness, both across the populations (16.4 ± 5.18 alleles per locus) and within them (8.03 ± 1.21 alleles per locus). The expected and observed heterozygosity was also high (0.805 ± 0.38 and 0.908 ± 0.04, respectively), and there was moderate genetic differentiation among the populations (FST= 0.083) with members of these eight populations grouped into three distinct clusters. We examined the relationship between the number of individuals sampled and the number of alleles captured in a random sample taken from a population of 10,000 individuals. Only sample sizes of 100 individuals captured most of the alleles (average = 78.74 alleles), but only seven of 50 samples effectively captured all the 82 alleles. Smaller samples did not capture all alleles. A probabilistic model was used to determine an optimal sampling strategy, and it was concluded that a collection of 200 seeds from each of five mother trees would have the highest likelihood of capturing all alleles in a population.

Advances in sequencing technologies have made it possible to analyse large amounts of germplasm against low production costs, which has opened the door to screen genebank collections more efficiently for DNA sequence variation. The present study explores how these developments may affect the operations of genebanks and, consequently, how genebank agendas may change. It is argued that the new developments are more likely to have an impact on the user-oriented activities than the housekeeping operations of genebanks. To better facilitate the user community, genebanks may have to strengthen their core business, in particular, by improving quality management procedures and by providing access to a wider diversity of a crop's gene pool. In addition, genebanks may have to provide novel services, such as the introduction of specific user-oriented collection types, including research populations and genetically purified lines, and the development of novel information services, including plant genetic resources portals that should guide users to the information and materials of specific interest. To improve their user-oriented services, genebanks need to increase their communication and collaboration with the user community and to develop strategic alliances with this sector.

In this study, 15 morphological traits and 16 microsatellite markers were used to assess the morphological variability and structure of 68 (33 local and 35 foreign) almond accessions (Prunus dulcis (Mill.) D.A. Webb). Extensive phenotypic diversity was found among the accessions, and results indicated a high variation in leaf and fruit traits. Varieties were separated into two distinct groups with a similarity coefficient of 0.761. Morphological traits were categorized by principal component analysis into five components, which explained 86.5% of the total variation. Nut and kernel traits were dominant in the two first components, accounting for 49.4% of the variation. By contrast, leaf traits accounted for 18.4% of the variation in the third component. The results of molecular analysis (Bayesian clustering approach) did not correspond to morphological groupings, and the second approach was more discriminate. The combination of both approaches revealed the richness among the collected plant materials, which will be useful in breeding programmes of this species.

In this study, simple sequence repeats (SSRs) specific to marigold were developed using the inter-SSR technique and a SSR-enriched genomic DNA library. In addition, SSRs derived from sunflower (Helianthus annuus) were also tested for transferability to marigold. In total, 38 polymorphic markers with 112 observed alleles were identified in 20 African marigolds (Tagetes erecta L.) consisting of 14 commercial varieties and six Thai landraces, and six French marigolds (Tagetes patula L.). The number of alleles per locus ranged from 2 to 7. The averages of expected and observed heterozygosities were 0.48 and 0.32, respectively. Polymorphic information content values ranged from 0.10 to 0.71, and resolving power (Rp) values ranged from 0.23 to 2.77. The SSRs were successfully applied to the differentiation of the 26 marigold samples into clusters of African commercial varieties, Thai landraces and French marigold. The genetic relationship analysis revealed that the African commercial varieties were more closely related to the Thai landraces than to the French marigold. The results of the study indicate that the SSRs developed are effective for genetic diversity analysis, species classification and individual identification.

In this study, 15 simple sequence repeat (SSR) markers were used for genetic diversity analysis of 45 almond accessions, which included 25 local cultivars from La Palma Island and three other commercial cultivars. A total of 110 amplification fragments were produced, with an average value of 7.9 alleles per locus. Twelve of the SSR markers can be considered as highly informative, with values of expected heterozygosity and power of discrimination above 0.5 and 0.8, respectively. Due to cases of synonymy and homonymy, 37 different genetic profiles were obtained, with the homonymy of the soft-shell varieties known as ‘Mollar’ being the most significant. Cluster analysis identified four groups within the accessions. One of these groups exclusively consisted of the two commercial cultivars ‘Guara’ and ‘Ferraduel’. The other commercial cultivar used in the study, ‘Desmayo Largueta’, was in a cluster with three cultivars from the same locality. The analysis of molecular variance revealed that the within-localities component accounts for most of the total variation, suggesting that La Palma almond cultivars did not originate independently in different parts of the island. The results of the study reveal the genetic singularity of La Palma almond cultivars and the genetic diversity among them.

The present study is the first to compare the trait-level differentiation (Qst) and the molecular-level differentiation (Fst) between Malus× domestica and Malus sieversii. A set of 115 accessions representing M.× domestica (99) and M. sieversii (16) were genotyped using the International RosBREED SNP Consortium apple 8K SNP array and phenotyped for eight fruit quality traits in a clonally replicated experiment. A set of 3521 single nucleotide polymorphisms (SNPs) with an average call rate of 98% was retained following SNP data quality filters. About 86% of the total SNPs were polymorphic in M. sieversii, while all but three SNPs were polymorphic in M. × domestica. The patterns of linkage disequilibrium were different, especially at the longer distances, between the two species. No differentiation (Fst= 0) was observed for nearly 23% of the SNPs, but about 20% of the SNPs exhibited a high genetic differentiation (Fst≥ 0.15). A highly significant (P< 0.001) genome-level Fst= 0.12 was observed between M. × domestica and M. sieversii. The average estimated Qst value was 0.20 (range 0.08–0.40), and for three of the eight studied traits (crispness, flavour intensity and fruit weight), Qst value was more than twice the estimated genome-level Fst value. A higher Qst value than Fst value for four of the eight fruit quality traits indicated differential (or directional) selection for these traits in M. × domestica. The average posterior probability of assignment of M. × domestica accessions to the M. sieversii gene pool was 11%, supporting the hypothesis of M. sieversii being one of the progenitors of the domesticated apple.

Sustainable development of a breeding programme depends on having sufficient genetic variability to achieve genetic gains in each selection cycle. The aim of this study was to molecularly characterize families of the oil palm, Elaeis guineensis Jacq., of different origins using microsatellite molecular markers. The value of the observed heterozygosity was higher than that of the expected heterozygosity in all of the progenies. The coefficients (G ST= 0.207 and F ST= 0.174) and AMOVA showed genotypic differences among the evaluated families. Likewise, this was reflected in the groups obtained by the dendrogram and principal coordinate analyses. This difference could have evolved due to the enrichment of some of the families with germplasm from different origins. Therefore, genetic relationships estimated from molecular data would be convenient to select families more distant from each group and palms more distant from each family selected to reserve genetic variability. This information will guide us in the decision-making process when planning breeding programmes focused on crosses to develop new populations with an acceptable broad genetic base and adaptability. In this way, sources of resistance to biotic and abiotic factors can be identified for the development of new varieties with competitive advantages for the sector.

To develop synthetic varieties (Syn) of broccoli for organic agriculture, we initiated a breeding programme from a landrace (LR). A Syn was obtained through a farmer-assisted selection programme that mirrors the original LR. The diversity level of the Syn was assessed using 14 putatively neutral microsatellite markers (simple sequence repeats (SSR)) and seven SSR related to genes involved in flowering control. Four commercial F1 hybrids were also assessed. Despite the strict selection procedure applied by the farmer to reproduce the LR annually and to obtain the Syn, the detected diversity level was high and similar to that of non-selected LRs. The possible reasons for these genetic outcomes (i.e. SSR position in the genome and farmer selection methods) are discussed here.

The allelic variations at glutenin loci could significantly affect the bread baking quality, and specific glutenin alleles might be closely associated with greater gluten strength, which, in turn, is related to superior bread baking quality. In this study, allelic variations at Glu-1, Glu-A3 and Glu-B3 loci were evaluated in 222 Korean wheat landraces using gene-specific polymerase chain reaction (PCR) markers. Ten alleles were identified at Glu-1 loci. Glu-A1c, Glu-B1b, and Glu-D1a or Glu-D1f alleles were predominantly found at the respective loci and their frequencies were 86.5, 87.8 and 96.9 %, respectively. Seven Korean wheat landraces carried the Glu-D1d allele, and only one Korean wheat landrace (IT173162) achieved 10 points for the Glu-1 score. Fifteen alleles were identified at Glu-A3 and Glu-B3 loci; Glu-A3c and Glu-B3d or Glu-B3i alleles were commonly found at the respective loci and their frequencies were 77.0, 33.3 and 37.8 %, respectively. Glu-B3 alleles exhibited the highest genetic diversity than other alleles, while Glu-B1 and Glu-A1 alleles exhibited the lowest genetic diversity than other alleles. Twenty Korean wheat landraces had the Glu-A3d and Glu-B3b, Glu-B3d, Glu-B3f, Glu-B3g or Glu-B3i alleles, which were correlated with superior bread baking quality. Among these wheat lines, two (IT59787 and IT236544) carried the Glu-D1d allele.