Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2018
Abstract
No abstract has been registered
Authors
Leonardo Ciaccheri Lorenza Tuccio Andrea A. Mencaglia Anna G. Mignani Ewelina Hallmann Kalina Sikorska-Zimny Stanislaw Kaniszewski Michel Verheul Giovanni AgatiAbstract
Non-destructive tools for evaluating the lycopene content in tomatoes are of great interest to the entire fruit chain because of an increasing demand for beneficial health products. With the aim of developing compact low-cost reflectance sensors for lycopene determination, we compared Partial Least Squares (PLS) prediction models by using either directional or total reflectance in the 500–750 nm range. Directional reflectance at 45° with respect to the LED lighting direction was acquired by means of a compact spectrometer sensor. Total reflectance was acquired through a 50-mm integrating sphere connected to a spectrometer. The analysis was conducted on two hydroponic greenhouse cultivated red tomato varieties, namely the large round ‘Dometica’ (average diameter: 57 mm) and the small cherry ‘Juanita’ (average diameter: 26 mm). For both varieties, the spectral variance of directional reflectance was well correlated to that of total reflectance. The performances of the PLS prediction models were also similar, with R2 of cross-validation between 0.73 and 0.81. The prediction error, relative to the mean lycopene content of full ripe tomatoes, was similar: i.e. around 16–17% for both varieties and sensors. Our results showed that directional reflectance measured by means of portable, low-cost and compact LED-based sensors can be used with an adequate precision for the non-destructive assessment of lycopene in tomatoes.
Abstract
No abstract has been registered
Authors
Kaishan Song Zhidan Wen Yijun Xu Hong Yang Lili Lyu Ying Zhao Chong Fang Yingxin Shang Jia DuAbstract
Dissolved carbon in lakes play a vital role in the global carbon cycling. The concentration and dynamics of lake dissolved carbon can be influenced by both the surrounding landscape and a combination of physical, chemical and biological processes within the lakes themselves. From 2009 to 2016, we conducted a large-scale assessment of dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC) in 249 lakes across a diverse range of climatic, geopedologic, topographical and hydrological conditions in five Chinese limnetic regions: the East Limnetic Region (ELR), the Northeast Limnetic Region (NLR), the Inner Mongolia-Xinjiang Limnetic Region (MXR), the Yungui Limnetic Region (YGR), and the Tibet-Qinghai Limnetic Region (TQR). We found that the density of the organic matter in the soil in the surrounding landscape plays an important role in the DOC and DIC in lake water, as was evidenced by the high DOC and DIC levels in the NLR, where the soil is respectively organically rich. Conditions in the arid and semi-arid environments (i.e. TQR and MXR) have created a number of brackish/saline lakes and here we found that, DOC and DIC levels (median: 21.79 and 93.72 mg/L, respectively) are significantly higher than those in the freshwater lakes (median: 5.80 and 29.38 mg/L). It also appears to be the case that the trophic state of freshwater lakes influences the spatial variation of DOC. This can be seen in the relationships between DOC and trophic state index (TSI) in agriculturally-dominated regions such as the ELR (R2 = 0.59, p < 0.01), NLR (R2 = 0.65, p < 0.001), and YGR (R2 = 0.78, p < 0.001). Additionally, a close relationship between DOC and DIC can be found in lake waters with different trophic states (eutrophic: slp = 0.63, R2= 0.69; mesotrophic: slp = 1.03, R2 = 0.65; oligotrophic: slp = 1.00, R2 = 0.64). This indicates that human activities influence the quantity and quality of dissolved carbon in inland water across China. This study is able to provide insights regarding the potential effects of climate change and changes in land-use upon the amount of dissolved carbon in lake water.
Authors
E. Stefanczyk M. Brylinska May Bente Brurberg Ragnhild Nærstad Abdelhameed Elameen S. Sobkowiak J. SliwkaAbstract
The oomycete Phytophthora infestans, the cause of late blight, is one of the most important potato pathogens. During infection, it secretes effector proteins that manipulate host cell function, thus contributing to pathogenicity. This study examines sequence differentiation of two P. infestans effectors from 91 isolates collected in Poland and Norway and five reference isolates. A gene encoding the Avr-vnt1 effector, recognized by the potato Rpi-phu1 resistance gene product, is conserved. In contrast, the second effector, AvrSmira1 recognized by Rpi-Smira1, is highly diverse. Both effectors contain positively selected amino acids. A majority of the polymorphisms and all selected sites are located in the effector C-terminal region, which is responsible for their function inside host cells. Hence it is concluded that they are associated with a response to diversified target protein or recognition avoidance. Diversification of the AvrSmira1 effector sequences, which existed prior to the large-scale cultivation of plants containing the Rpi-Smira1 gene, may reduce the predicted durability of resistance provided by this gene. Although no isolates virulent to plants with the Rpi-phu1 gene were found, the corresponding Avr-vnt1 effector has undergone selection, providing evidence for an ongoing ‘arms race’ between the host and pathogen. Both genes remain valuable components for resistance gene pyramiding.
Authors
Zhibo HamborgAbstract
No abstract has been registered
Abstract
In spite of its important role as predator of small game species, estimating the density of red fox Vulpes vulpes has been hampered by the species’ highly variable ranging pattern and elusive behavior. DNA analysis from scats combined with spatially explicit capture–recapture (SECR) modeling might remedy this. In a 50-km2 coniferous forest in southeast Norway, we collected scats on logging roads in late winter. DNA was extracted, amplified, and genotyped using 11 microsatellite markers. Of 184 samples collected, 126 were genotyped successfully, of which 46 (36.5%) produced individual genetic profiles. Twenty-five of these were different individuals: 13 females and 12 males. Nine of them were identified in multiple scats; mean recapture rate among all was 1.8/animal. Applying a conventional capture–recapture model (CAPWIRE) to the genotyped samples, 36 (95% CI 26–52) different individuals were estimated to have been present in the area during the sampling period. For estimating population density, we constructed three differently sized occupancy areas based on distances between recaptures, viz. ½ and 1/1 mean maximum distance moved (MMDM) and the local convex hull home range method (LoCoH). Areas varied from 60 km2 (½MMDM) to 112 km2 (MMDM), producing density estimates of 0.60 and 0.32 foxes/km2, respectively; the 95% LoCoH range method produced an estimate of 0.44 animals/km2 . Based on SECR modeling, the density was estimated at 0.38 (95% CI 0.21–0.70) animals/km2 . Smaller confidence intervals are expected with more appropriate sampling design than used in this pilot study.
Authors
Melissa MagerøyAbstract
No abstract has been registered
Authors
Melissa Magerøy Hugh B. Cross Torstein Tengs Carl Gunnar Fossdal Pierre Petriacq Adam Vivian-Smith Tao Zhao Paal KrokeneAbstract
No abstract has been registered
Authors
Gunnhild SøgaardAbstract
No abstract has been registered