Salvia (sage) is the most important and largest genus of the Lamiaceae family. High similarities among species in this genus lead to difficulty in its systematic identification. Despite its economic importance, limited molecular studies have been conducted to evaluate the genetic diversity among and within Salvia species. In this study, SRAP (sequence-related amplified polymorphism) markers, which targeted ORFs (open reading frames) as functional regions in the genome, were used to detect the genetic diversity of five Salvia species (S. virgata Jacq., S. nemorosa L., S. officinalis L., S. cereal L. and S. sclarea L.). Fourteen primer combinations (PCs) were amplified by 265 fragments on 54 genotypes, in which 255 (96%) were polymorphic. The average polymorphism information content (PIC) value was 0.308 over all PCs. The genetic distance among species ranged from 0.126 (between S. virgata Jacq. and S. nemorosa L.) to 0.568 (between S. nemorosa L. and S. sclarea L.). Based on Jaccard's similarity coefficient and UPGMA algorithm, cluster analysis separated different species (r= 0.920). The results showed high genetic differentiation (Fst= 0.337) and negligible gene flow (Nm= 0.750) among species. Owing to the high genetic variation among and within Salvia species, it serves as a rich source of germplasm with potential for use in breeding programmes.

In this paper, we describe variations among autochthonous olive cultivars from five different areas in Basilicata (Southern Italy) classified according to 33 chemical oil components and morphological traits. While all examined descriptors show no significant differences among cultivars, means and coefficients of variations have been highlighted. Principal component analysis has then been used to reduce the number of descriptors. Cultivars have been classified by cluster analysis into three groups. Following a discussion of cultivar group similarities, results suggest that an ‘a priori’ classification of cultivars according to growing area does not strictly correspond to phenotypic grouping. From the spatial distribution of cultivars, however, it has been possible to identify ‘superior’ genotypes in terms of olive oil composition.

A systematic method for determining colour descriptor states using image analysis is proposed using pili (Canarium ovatum) as a model. Kernel images of 52 pili accessions from the core collection of the Institute of Crop Science and National Plant Genetic Resources Laboratory, University of the Philippines Los Baños were captured using a calibrated VideometerLab 3 setup. Colour descriptor states were derived from the average International Commission on Illumination lightness (L*), green–red (a*) and blue–yellow (b*) colour component values. Cluster analysis and subsequent colour-parameter averaging per cluster were performed to produce representative colour values of descriptor states. The Euclidian distance (Delta E) of 3.5 was used to cut the cluster into readily distinguishable colour differences resulting to three descriptor states – light brown, brown and dark brown. Continuous colour variation of brown colour was observed indicating a possible quantitative nature of the trait. The use of delta E in elucidating the descriptor lists served as a gauge in successfully identifying distinguishable variations between colours. The method described can be applied to the elucidation of colour descriptor states of all parts of the plant of all crop species.

Genebanks play an important role in the conservation of global plant biodiversity. The European Search Catalogue for Plant Genetic Resources (EURISCO) was created as a central entry point to provide information on these collections. However, a major challenge lies in the heterogeneity of scientific plant names. This makes the selection of suitable plant material, e.g. for research or breeding purposes, significantly more difficult. For this reason, the taxonomic backbone of EURISCO has been completely revised. Search terms entered by users are now automatically checked against taxonomic reference repositories, allowing a variety of synonyms to be identified. In addition, a fuzzy search has been implemented, which makes the search function tolerant of erroneous data (e.g. caused by typing errors). Besides improvements of the search interface, more support will be given to EURISCO's data providers. The new developments provide a tool that makes it easier to identify problem cases within the data, such as accepted/non-accepted taxonomic names, and will successively improve the quality of taxonomic information in EURISCO.

Rice varietal diversity was assessed in Guinea on the basis of surveys of 1679 farms located in 79 villages of the four natural regions of the country. The descriptors used were the number of known varieties, the number of cultivated varieties and Shannon's diversity and evenness index. On the basis of their use rates, varieties were classified as major or minor types at the village scale and as regionally and/or nationally eminent varieties at these scales. Varietal diversity was high, especially in forest Guinea and lower Guinea. Diversity pattern was typical of the subsistence farming system. The high share of local variety reflected the predominance of low management and low input cropping systems. The presence of improved varieties confirms farmers' openness to innovation and to the government policy of promoting improved varieties. Regional diversity reflected the agro-ecological diversity and specificities of each region, the history and the extent of rice-growing systems, and the importance of rice in the local diet. Recent dissemination of NERICA varieties has not caused any reduction of pre-existing varieties. The short-duration NERICA are mainly used as a complement to the long-duration traditional varieties and thus enhance varietal diversity. Risks of diversity erosion seem limited in the current setting of farming system and diversity structure. However, at the village level, the diversity pattern is fragile as the proportion of farmers who used each variety of the village is low and heterogeneous. A continuous monitoring of the dynamics of rice varietal diversity in Guinea is needed.

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.

Eryngium maritimum L. is a wild plant species threatened or endangered in most of Northern Europe, where species is on the northern margin of its distribution range. Recent studies have found reduction of size and even extinction of many populations. Assessment of genetic diversity in natural populations of endangered wild plant species can reflect condition and fitness of particular population and inform decisions on appropriate conservation measures. Application of inter simple sequence repeat markers and chloroplast DNA sequencing could not resolve genetic relationship between E. maritimum populations in Northern Europe. Therefore, the more sensitive retrotransposon-sequence-specific amplification polymorphism (SSAP) molecular marker system was developed. Six Ty1-copia long terminal repeat retrotransposons were isolated from E. maritimum genome (Tem1–Tem6) and assessed for their utility as molecular markers in this species. Two retrotransposons – Tem2 and Tem5 – were recognized as most informative based on the level of polymorphism and SSAP banding pattern quality. On average, 20.4% of SSAP bands were polymorphic for the five most informative primer combinations in a set of 150 Northern European E. maritimum plants from 13 locations, providing a useful tool for assessment of genetic diversity in this endangered species.

Root lesion nematodes of the genus Pratylenchus are important pests in crop cultivation that cause severe damage to crops throughout the world. P. neglectus is one of the most important members of this genus. The present study aimed to select barley accessions with resistance to P. neglectus in a greenhouse resistance test and to detect resistance quantitative trait loci (QTLs). Infection rates have been found to vary greatly among different barley accessions; however, immunity could not be found. An existing Igri × Franka doubled-haploid mapping population was used to map resistance genes after artificial inoculation with P. neglectus under controlled environment. QTLs were found with a likelihood of odds score between 2.71 and 6.35 and explaining phenotypic variation of 8 to 16%.

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.

This paper aims to propose an international list of descriptors for Butia odorata (jelly palm), using scientific documentation methods and farmers' knowledge to allow the germplasm characterization for conservation and sustainable use. It is an attempt to promote the development of new approaches to documenting crop genetic resources using a blend of these two sources of knowledge, frequently perceived as conflicting. This long-lived and useful palm is a neglected and subutilized species, and its genetic diversity and associated knowledge are under severe erosion. A list of 11 morphological descriptors is proposed based on observations, literature review and discussions with farmers who know and use the plant. These descriptors were used to characterize 303 adult jelly palms conserved in situ. Descriptive results are presented. Only five morphological characteristics were reported by farmers as important to discriminate individual plants, indicating that farmers have simpler and more rapid ways to differentiate diversity than do the scientists based on their uses. Standard list of descriptors developed by ex situ conservationists are widely used by breeders, but they rarely reach out to farmers and other user groups, a fact that limits the full use of germplasm collections around the world. Conversely, farmer-based descriptors, which are the expression of deep knowledge of diversity and its deployment by traditional communities, are rarely considered by breeders, mainly because they are not available. In this paper, we support the idea that a blend of these two methods – in a standard format – is highly strategic to promote an effective in situ conservation-through-use approach.

Several Desmodium species are adapted to the environment of Griffin, Georgia, USA. The determination of flavonoid concentrations, oil content and fatty acid compositions of 25 Desmodium accessions representing five species (D. discolor Vogel, D. incanum (G.Mey.) DC., D. intortum (Mill.) Urb., D. sandwicense E. Mey. and D. tortuosum (Sw.) DC.) would add value to the members of the genus Desmodium for possible use as livestock health supplements. In this study, the seeds of these 25 accessions were evaluated for flavonoid concentrations, oil content and fatty acid compositions using high-performance liquid chromatography, nuclear magnetic resonance and gas chromatography, respectively. Several accessions exhibited significantly greater values for all the traits than the controls. The Desmodium accessions produced significantly greater concentrations of quercetin and kaempferol than the best control accession (D. incanum, PI 477072). However, all the Desmodium accessions produced significantly greater concentrations of isorhamnetin and luteolin than the control accessions. All the Desmodium accessions had greater linoleic (18:2) and behenic (22:0) acid content than a couple of D. incanum control accessions in 2010 and 2011. Significant correlations were observed between several traits. The concentration of quercetin was significantly correlated with that of kaempferol (r2= 0.69***); however, the concentration of quercetin exhibited a significantly negative correlation (r2= − 0.41*) with that of isorhamnetin. Oil content was significantly correlated with palmitic acid (r2= 0.61**), stearic acid (r2= 0.81***), linolenic acid (r2= 0.58**) and lignoceric acid (r2= 0.80***) content. This information will assist breeders and other scientists in developing superior cultivars with optimum levels of flavonoid concentrations, oil content and fatty acid compositions for many of these Desmodium species.

Calotropis procera is emerging as a new, yet undomesticated, resource of fibre comparable to cotton and kapok. Screening of efficient genotypes from its wild populations would be a useful pre-domestication process. The desired genotypes can then be improved through conventional breeding programmes to develop a domesticated variety. Molecular markers play a major role in modern breeding systems. Thus, an efficient marker resource for C. procera would prove useful in germplasm selection during breeding programmes. In this study, we undertook an initial step of Simple sequence repeats (SSR) marker development for C. procera, which could be applied for germplasm selection. Furthermore, using the developed markers, we assessed the genetic diversity base within its wild populations which could be useful to identify the hotspot areas of germplasm collection. Out of 94,636 de novo assembled transcripts, 9148 sequences were found to contain 12,884 SSRs at a density of 5.5 SSRs/Mb. Twelve SSRs were found as polymorphic with a mean polymorphic information content of 0.575. We observed a moderate level of genetic diversity (Na = 3.625, Ho = 0.58) in the studied populations. Mantel's test showed significant correlation between the geographic distance and the genetic distance (r = 0.147, P = 0.010). Sirsa was found as a genetically most diverse population followed by Barnala while Gurdaspur was found with the least genetic diversity. These genetically diverse populations can serve as an important resource for effective germplasm collection for breeding programmes.

Licorice (Glycyrrhiza glabra) is an important medicinal herb and has long been used in traditional medicine for the treatment of several diseases worldwide. Understanding the genetic diversity within Glycyrrhiza species is important for the efficient conservation of these medicinal herbs. In this study, we have developed 20 polymorphic chloroplast microsatellite (cpSSR) markers using the chloroplast genome of G. lepidota. The cpSSR markers were tested on a total of 27 Glycyrrhiza individual plants. The number of alleles per locus ranged from two to eight among the Glycyrrhiza accessions. Overall, the Shannon index (I) for each cpSSR ranged from 0.315 to 1.694, the diversity indices (h) were 0.140–0.793 and the unbiased diversity indices (uh) were 0.145–0.825. In addition, the cpSSR markers were successfully divided and classified the 27 Glycyrrhiza individuals into four groups. The cpSSR markers developed in this study could be used in the assessment of genetic diversity and rapid identification of Glycyrrhiza species.

The aims of the current study were to investigate the effect of drought stress on phenological and morphological traits of sunflower genotypes and to determine the important traits for identifying drought-tolerant and drought-sensitive cultivars. For this purpose, a lattice square-design experiment was conducted with 64 sunflower genotypes in an 8 × 8 pattern with two replications under non-stress and moisture-stress conditions (irrigation holding at the flowering stage) during 2 years 2016 and 2017. Measured and recorded traits were included the some phenological and morphological traits seeds. Sil-96 genotype showed the highest yield under both non-stress and moisture-stress conditions. Among the morphological traits, the head and stem diameters were highly significant to determine the final yield. In comparing the genotypes, it was concluded that the number of seeds per head was the most influential component affecting the yield. Furthermore, 1000-seed weight was the most important factor affecting grain yield under moisture-stress conditions. The result of association analysis study shows that 45 of inter-simple sequence repeat markers in a general linear model are associated with yield and yield component traits and 23 of them were verified in a mixed linear model (MLM) association approach. Also, 32 markers were informative for morpho-physiological traits and 24 of them verified using the MLM. Finally, 19 informative markers were identified for phenological traits and 10 of them were verified by the MLM.

Jatropha curcas (jatropha) is an important non-edible oilseed crop with potential as a raw material for biofuel production. Although J. curcas has 30–35% oil content in its seeds, it has low seed yield ( < 2 ton/ha) and thus cannot become an economically viable crop. However, jatropha has many related species and genera such as J. integerrima, J. multifida, J. podagrica and Ricinus communis that are suitable for interspecific and intergeneric hybridization. The desirable features that can be obtained from these species are high number of inflorescences from J.integerrima, large fruit size from J. multifida, high oil content from J. podagrica and raceme-type inflorescence from R. communis. We were initially successful in producing hybrids between J. curcas and these related species. Hybridity was confirmed using expressed sequence tag (EST)–simple sequence repeat markers developed from the J. curcas EST database.

The characterization of genetic diversity and structure for improved cultivated varieties/elite lines is tremendously important to assist breeders in parental selection for inbred and hybrid breeding and heterotic group construction. In this study, a total of 737 improved indica varieties/lines developed recently and/or widely used by present indica breeding programmes worldwide were genotyped with a 384-single-nucleotide polymorphism assay. Model-based population structure analysis revealed the presence of two major groups with six subgroups (SGs), wherein no clear correlation was found between the groups/SGs and breeding programmes or geographical origin of the accessions. Over half of the accessions (51.8%) appeared to have less than 0.6 memberships assigned to any one of the six model-based groups, highlighting the wide range of gene flow within improved indica varieties/lines and the genetic integration of valuable alleles shared by ancestries among improved high-yielding varieties/lines through germplasm exchanges. Distance-based clustering revealed that Latin-American cultivated indica lines have tended to form their own ecological cline, which could serve as a potential heterotic ecotype for hybrid rice breeding, although they are still closely related to Asian indica lines. African cultivated indica lines, on the other hand, have not yet formed their own ecological cline. It was also observed that the most well-known hybrid rice parents, Zhenshan97B and Minghui63, were unexpectedly clustered in the same SG with a relatively narrow genetic distance, which suggests that a significant genetic distance between parents is not a prerequisite for all elite hybrid rice lines with high heterosis.

In this study, the targetting-induced local lesions in genomes approach was used to identify mutants for genes related to starch metabolism in barley. Starch is the major reserve of plants and serves as primary carbohydrate component in human and livestock diets and has also numerous industrial applications. Mutants for biosynthetic or regulatory genes of starch metabolism often produce starch granules with abnormal morphological and molecular features that could be of interest for technological applications. We report the identification of 29 mutations in five starch-related barley genes (Bmy1, GBSSI, LDA1, SSI and SSII) through the molecular screening of TILLMore, a sodium azide-mutagenized population. Almost all the mutations detected were CG–TA transitions and several (c. 60%) implied a change in amino-acid sequence and therefore possible phenotypic effects. Four mutants showed non-sense or splice-junction alterations, which could drastically affect the protein function.

Investigating genetic structure and diversity is crucial for rice improvement strategies, including mapping quantitative trait loci with the potential for improved productivity and adaptation to the upland ecology. The present study elucidated the population structure and genetic diversity of 176 rice germplasm adapted to the upland ecology using 7063 genome-wide single nucleotide polymorphism (SNP) markers from the Diversity Array Technology (DArT)-based sequencing platform (DArTseq). The SNPs were reasonably distributed across the rice genome, ranging from 432 SNPs on chromosome 9 to 989 SNPs on chromosome 1. The minimum minor allele frequency was 0.05, while the average polymorphism information content and heterozygosity were 0.25 and 0.03, respectively. The model-based (Bayesian) population structure analysis identified two major groups for the studied rice germplasm. Analysis of molecular variance revealed that all (100%) of the genetic variance was attributable to differences within the population, and none was attributable to the population structure. The estimates of genetic differentiation (PhiPT = 0.001; P = 0.197) further showed a negligible difference among the population structures. The results indicated a high genetic exchange or gene flow (number of migrants, Nm = 622.65) and a substantial level of diversity (number of private alleles, Pa = 1.52 number of different alleles, Na = 2.67; Shannon's information index, I = 0.084; and percentage of polymorphic loci, %PPL = 55.9%) within the population, representing a valuable resource for rice improvement. The findings in this study provide a critical analysis of the genetic diversity of upland rice germplasm that would be useful for rice yield improvement. We suggested further breeding and genetic analyses.

Landraces (including heritage varieties) are an important agrobiodiversity resource offering considerable value as a buffer against crop failures, as a crop for niche markets, and as a source of diversity for crop genetic improvement activities underpinning future food security. Home gardens are reservoirs of landrace diversity, but some of the accessions held in them are vulnerable or threatened with extinction. Those associated with seed saving networks have added security, for example, ca. 800 varieties are stored in the Heritage Seed Library (HSL) of Garden Organic, UK. In this study, Amplified Fragment Length Polymorphisms-based genetic analysis of accessions held in the HSL was used to (a) demonstrate the range of diversity in the collection, (b) characterize accessions to aid collection management and (c) promote broader use of the collection. In total, 171 accessions were included from six crops: Vicia faba L., Pisum sativum L., Daucus carota L., Cucumis sativus L., Lactuca sativa L. and Brassica oleracea L. var. acephala (DC.) Metzq. Average expected heterozygosity ranged from 0.18 to 0.28 in D. carota; 0.02–0.18 in P. sativum; 0.05–0.18 in L. sativa; 0.15–0.26 in B. oleracea var. acephala; 0.15–0.37 in C. sativus and 0.07–0.36 in V. faba. Genetic diversity and Fst values generally reflected the breeding system and cultivation history of the different crops. Comparisons of the diversity found in heritage varieties with that found in commercial varieties did not show a consistent pattern. Principal coordinates analysis and Unweighted Pair Group Method with Arithmetic Mean cluster analysis were used to identify four potential duplicate accession pairs.