We present quantitative reconstructions of regional vegetation cover in north-western Europe, western Europe north of the Alps, and eastern Europe for five time windows in the Holocene [around 6k, 3k, 0.5k, 0.2k, and 0.05k calendar years before present (bp)] at a 1° × 1° spatial scale with the objective of producing vegetation descriptions suitable for climate modelling. The REVEALS model was applied on 636 pollen records from lakes and bogs to reconstruct the past cover of 25 plant taxa grouped into 10 plant-functional types and three land-cover types [evergreen trees, summer-green (deciduous) trees, and open land]. The model corrects for some of the biases in pollen percentages by using pollen productivity estimates and fall speeds of pollen, and by applying simple but robust models of pollen dispersal and deposition. The emerging patterns of tree migration and deforestation between 6k bp and modern time in the REVEALS estimates agree with our general understanding of the vegetation history of Europe based on pollen percentages. However, the degree of anthropogenic deforestation (i.e. cover of cultivated and grazing land) at 3k, 0.5k, and 0.2k bp is significantly higher than deduced from pollen percentages. This is also the case at 6k in some parts of Europe, in particular Britain and Ireland. Furthermore, the relationship between summer-green and evergreen trees, and between individual tree taxa, differs significantly when expressed as pollen percentages or as REVEALS estimates of tree cover. For instance, when Pinus is dominant over Picea as pollen percentages, Picea is dominant over Pinus as REVEALS estimates. These differences play a major role in the reconstruction of European landscapes and for the study of land cover-climate interactions, biodiversity and human resources.
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BMC Plant Biol
January 2025
Department of Agricultural, Food and Environmental Sciences, University of Perugia, via Borgo XX giugno 74, Perugia, 06121, Italy.
Whole genome duplication (WGD) is a powerful evolutionary mechanism in plants. Autopolyploids have been comparatively less studied than allopolyploids, with sexual autopolyploidization receiving even less attention. In this work, we studied the transcriptomes of neotetraploids (2n = 4x = 32) obtained by crossing two diploid (2n = 2x = 16) plants of Medicago sativa that produce a significant percentage of either 2n eggs or pollen.
View Article and Find Full Text PDFTheor Appl Genet
December 2024
Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR-CONICET-UNR), Parque Villarino S/N, Z2125ZAA Zavalla, Rosario, Santa Fe, Argentina.
Transcriptomics- and FAME-GC-MS-assisted apomixis breeding generated Paspalum notatum hybrids with clonal reproduction and increased α-linolenic acid content, offering the potential to enhance livestock product's nutritional quality and reduce methane emissions A low omega-6:omega-3 fatty acid ratio is considered an indicator of the nutritional impact of milk fat on human health. In ruminants, major long-chain fatty acids, such as linoleic acid (18:2, omega-6) and α-linolenic acid (18:3, omega-3), originate from dietary sources and reach the milk via the bloodstream. Since forages are the primary source of long-chain fatty acids for such animals, they are potential targets for improving milk lipid composition.
View Article and Find Full Text PDFFront Plant Sci
November 2024
Biology Department, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.
is used in a variety of medicinal and aromatic products. The effects of various treatments on sage () plants were investigated in an open-field experiment conducted between 2021 and 2022. During the experiment, ZnO nanoparticles (NPs) were used at concentrations of 1.
View Article and Find Full Text PDFPlants (Basel)
November 2024
Departamento de Química Farmacológica y Toxicológica, Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago 8380000, Chile.
Microsc Res Tech
November 2024
Environmental Sciences Department, Fatima Jinnah Women University, Rawalpindi, Pakistan.
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