Discernment of bee pollen loads using computer vision and one-class classification techniques

In this paper, we propose a system for authenticating local bee pollen against fraudulent samples using image processing and classification techniques. Our system is based on the colour properties of bee pollen loads and the use of one-class classifiers to reject unknown pollen samples. The latter classification techniques allow us to tackle the major difficulty of the problem, the existence of many possible fraudulent pollen types. Also presented is a multi-classifier model with an ambiguity discovery process to fuse the output of the one-class classifiers. The method is validated by authenticating Spanish bee pollen types, the overall accuracy of the final system of being 94%. Therefore, the system is able to rapidly reject the non-local pollen samples with inexpensive hardware and without the need to send the product to the laboratory.

Pollen record during the Eemian from the Fuentillejo maar-lake sequence (Ciudad Real, Spain)

The Fuentillejo maar is located in the Central Spanish Volcanic Field of Campo de Calatrava (Ciudad Real). Fuentillejo maar-Iake is a c10sed system covering over 142 m depth oflacustrine sediments; it is one ofthe best examples oflong and continuous cores at terrestrial site from the Iberian Peninsula. PalynoIogical, mineralogical and sedimentary facies analysis were performed to characterize the sedimentary record during the Last Interglacial. In core FUENT-l this period (dated in 133 ka-120 ka) is detected between 45,90-56,90 m depth. Sedimentology point of view is characterized by develop of lacustrine facies, fineIy laminated black-brown doIomicrite mud and sapropeIIayers (Sedimentary Units 16,6-17-18). The vegetation is characterised by high polIen taxa diversity (around 50 polIen taxa of terrestriaI types, 5 polIen taxa of aquatic types, spores and 9 types of non palynological microfossils-NPM) together with a high content in the Mediterranean and mesic forest components (Quercus evergreen, Oleaceae, Quercus decidous and CoryIus), tipical ofwarm and humid conditions, and a few content on Artemisia, Pinus and Juniperus taxa (typicaI of coId or warm arid phases). The scarce forest development can be interpreted from the polIen record of mesophilus and thermophilous vegetation of the FUENT-1 sequence, in which only 40-50% of total polIen come from arboreaI associations. These vaIues for arboreal pollen content are low compared with other European polIen sequences.

A small asparagine-rich protein required for S-allele-specific pollen rejection in Nicotiana

Although S-locus RNases (S-RNases) determine the specificity of pollen rejection in self-incompatible (SI) solanaceous plants, they alone are not sufficient to cause S-allele-specific pollen rejection. To identify non-S-RNase sequences that are required for pollen rejection, a Nicotiana alata cDNA library was screened by differential hybridization. One clone, designated HT, hybridized strongly to RNA from N. alata styles but not to RNA from Nicotiana plumbaginifolia, a species known to lack one or more factors necessary for S-allele-specific pollen rejection. Sequence analysis revealed a 101-residue ORF including a putative secretion signal and an asparagine-rich domain near the C terminus. RNA blot analysis showed that the HT-transcript accumulates in the stigma and style before anthesis. The timing of HT-expression lags slightly behind SC10-RNase in SI N. alata SC10SC10 and is well correlated with the onset of S-allele-specific pollen rejection in the style. An antisense-HT construct was prepared to test for a role in pollen rejection. Transformed (N. plumbaginifolia × SI N. alata SC10SC10) hybrids with reduced levels of HT-protein continued to express SC10-RNase but failed to reject SC10-pollen. Control hybrids expressing both SC10-RNase and HT-protein showed a normal S-allele-specific pollen rejection response. We conclude that HT-protein is directly implicated in pollen rejection.