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Interactive effects of adaptation technology, based on no-till sowing into the mulch of cover crop residues, and nitrogen nutrition on photosynthetic performance of maize under drought stress
Opoku, Emmanuel; Holub, Petr; Findurová, Hana; Veselá, Barbora; Klem, Karel
2021 - English
The aim of this study was to evaluate the interactive effect of adaptation technology based on no-till sowing into cover crop mulch and nitrogen nutrition on photosynthetic performance of maize under short term drought stress induced by rain-out shelters. The experiment was established in two locations in the same climatic condition but differing in soil fertility. The negative effect of drought on CO2 assimilation rate was modulated by nitrogen nutrition. However, while nitrogen nutrition led to alleviating effect at the location with higher fertility, the opposite effect was found at the site with lower fertility. Adaptation technology had only a minor impact on photosynthetic response to drought, but it generally increased CO2 assimilation rate at the site with higher soil fertility and decreased at the site with lower soil fertility. We can conclude that adaptation technology, despite of assumptions, did not significantly change the resilience of maize to drought, and probably longer use of such technology is required to improve soil water retention and thus also balanced supply of water to plants. \nAt the same time, we did not find a negative impact of adaptation technology on photosynthesis which can be related to cooler soil during maize emergence and slower mineralization, although the use of adaptation technology seems to be more effective in soils with higher fertility.
Keywords:
climate change adaptation; cover crops; drought; nitrogen nutrition; photosynthetic rate
Fulltext is available at external website.
Interactive effects of adaptation technology, based on no-till sowing into the mulch of cover crop residues, and nitrogen nutrition on photosynthetic performance of maize under drought stress
The aim of this study was to evaluate the interactive effect of adaptation technology based on no-till sowing into cover crop mulch and nitrogen nutrition on photosynthetic performance of maize under ...
Modelling the onset of phenological phases of spring barley (Hordeum vulgare L.)
Dížková, Petra; Bartošová, Lenka; Hájková, L.; Balek, Jan; Bláhová, Monika; Bohuslav, Jakub; Pohanková, Eva; Trnka, Miroslav; Žalud, Zdeněk
2021 - English
The onset of phenological phases of plant species is influenced mainly by air temperature. Each phenophase has its temperature limits (base temperature and temperature sum), which must be reached for each phase to occur. With knowledge of these limits, it is possible to predict the onset of phenological phases in localities where only meteorological data are available and also in future climate conditions. In this work, we used phenological ground-based data from 33 stations within the Czech Republic to calculate the most relevant meteorological predictors. PhenoClim software was used for phenological and meteorological data calibration and modelling. The smallest error that allows us to predict the term of the phenophases was found for the heading of spring barley (Hordeum vulgare L.), as the best predictor was the maximum daily temperature and the statistical error was 3.6 days.
Keywords:
phenology; temperature; phenoclim; climate parameters
Fulltext is available at external website.
Modelling the onset of phenological phases of spring barley (Hordeum vulgare L.)
The onset of phenological phases of plant species is influenced mainly by air temperature. Each phenophase has its temperature limits (base temperature and temperature sum), which must be reached for ...
Effect of elevated CO2 concentration and nitrogen nutrition on mais response to short-term high temperature and drought stress
Simor, J.; Klem, Karel
2021 - English
Within an experiment conducted in open top chambers in which two mais genotypes differing in stay-green trait were cultivated under elevated atmospheric CO2 concentration (EC) in comparison\nwith ambient CO2 concentration (AC), and in two contrast levels of nitrogen nutrition, the effect of acclimation to these factors on photosynthetic performance and water use efficiency, and subsequent response to short-term high temperature and drought stress was studied. Although EC improved water use efficiency, this effect did not alleviate the response to drought stress, and under some combinations of factors even led to a decrease in CO2 assimilation rate under drought stress. Differences in the stay- green trait between genotypes did not have a major effect on the response to high temperature and drought stress. Differences between genotypes were manifested mainly in the interaction with nitrogen nutrition, while in the Korynt genotype, non fertilised variants showed a lower response of CO2 assimilation rate to drought. Slight alleviating effect of higher nitrogen dose was found under EC conditions, while no nitrogen fertilisation rather increased drought resilience under AC conditions.
Keywords:
mais; elevated carbon dioxide; nitrogen nutrition; drought stress
Available at various institutes of the ASCR
Effect of elevated CO2 concentration and nitrogen nutrition on mais response to short-term high temperature and drought stress
Within an experiment conducted in open top chambers in which two mais genotypes differing in stay-green trait were cultivated under elevated atmospheric CO2 concentration (EC) in comparison\nwith ...
Variation of glomalin content in the Czech soils and the relationships to the chemical soil characteristics and climatic regions
Polách, Vojtěch; Patra, Sneha; Klem, Karel
2021 - English
Glomalin is being investigated as a substance that improves soil quality, the resistance of soil aggregates and play a role in carbon sequestration. This study is the first nationwide survey of the glomalin content in the soil. Soil samples were collected from 181 locations in the Czech Republic to describe the variability of glomalin content in the soils of the Czech Republic and its dependence on soil chemical properties and climatic area. Sodium citrate buffer was used to extract easily extractable glomalin (EEG), and the glomalin concentration was determined spectrophotometrically. The soil glomalin content correlates most with the ratio of humic and fulvic acids. Moreover, the interrelation between glomalin content and climatic regions was also observed. The content of glomalin decreases from the warmest regions to the coldest. We also compared the glomalin content among different soil types groups and found out that the lowest glomalin content was found in Entic Podzols and Gleysols. On the contrary, the highest glomalin content was found in Vertisols, Phaeozems and Luvisols.
Keywords:
glomalin; humic and hulvic acids; climatic regions; soil types
Fulltext is available at external website.
Variation of glomalin content in the Czech soils and the relationships to the chemical soil characteristics and climatic regions
Glomalin is being investigated as a substance that improves soil quality, the resistance of soil aggregates and play a role in carbon sequestration. This study is the first nationwide survey of the ...
Estimation of winter wheat yield using machine learning from airborne hyperspectral data
Švik, Marian; Pikl, Miroslav; Janoutová, Růžena; Veselá, Barbora; Slezák, Lukáš; Klem, Karel; Homolová, Lucie
2021 - English
Methods based on optical remote sensing allow nowadays to assess crop conditions over larger areas. The assessment of crop conditions and potential estimation of crop yields in the early growth\nstages can help farmers to better target their management practice such as application of fertilizers. In this study we analysed airborne hyperspectral images acquired several times during the growing season over two experimental sites in the Czech Republic (Ivanovice and Lukavec). The field experiments on winter wheat included 12 levels of fertilisation (combination of organic and mineral fertilisers). Such an experiment design and the possibility of combining the data from two sites together increased the variability in our wheat yield dataset, which varied between 2.8 and 10.0 t/ha. Further, we used a machine learning method – namely gaussian process regression from the ARTMO toolbox to train two variants of models: a) combining the spectral data from both sites and from the multiple acquisition days and b) combining the spectral data from both sites for individual acquisition days.The results showed that it was feasible to predict wheat yield already at the beginning of April with R2 > 0.85. This promising result, however, requires more thorough validation and therefore we plan to include more data from other sites in the next steps.
Keywords:
hyperspectral; machine learning; remote sensing; winter wheat; yield
Available at various institutes of the ASCR
Estimation of winter wheat yield using machine learning from airborne hyperspectral data
Methods based on optical remote sensing allow nowadays to assess crop conditions over larger areas. The assessment of crop conditions and potential estimation of crop yields in the early ...
Comparing of observed and simulated field crop production in HERMES2Go model at Hněvčeves locality
Bohuslav, Jakub; Kersebaum, Kurt Christian; Madaras, M.; Hlavinka, Petr; Trnka, Miroslav; Žalud, Zdeněk
2021 - English
The main objective of this study was calibration and testing of crop growth model \nHERMES2Go under long–term field experiment in Hněvčeves locality (coordinate 50°18´N, 15°43´E, \naltitude 265 m.a.s.l.). Observed data of yields and the other parameters like a weather data, soil \nparameters, management practice, phenology phases etc. monitored in last 38 years was used for model \ncalibration. Input parameters were available for 4 different fertilizer practices: i) control, ii) manure, iii) \nmineral fertilizer and iv) manure together with mineral fertilizer on each plot. Observed data are \navailable for yields of main and by–product and above ground biomass. The main grown crops were \nsugar beet, spring barley, winter wheat, silage maize, oat and alfalfa. Outputs of the model for main \nproduct are relatively accurate, but values of by–product requires additional calibration parameters \nsettings together with above–ground biomass.
Keywords:
hermes2go; long–term experiments; simulation; yield; field crops
Fulltext is available at external website.
Comparing of observed and simulated field crop production in HERMES2Go model at Hněvčeves locality
The main objective of this study was calibration and testing of crop growth model \nHERMES2Go under long–term field experiment in Hněvčeves locality (coordinate 50°18´N, 15°43´E, \naltitude 265 ...
Forest Soil Physico-Chemical Sorption Spatial Links in Central-European Systems of Site Geographical Divisions
Samec, Pavel; Balková, M.; Kučera, A.
2020 - English
Spatial links among soil property values influence variability of soil sorption. The aim of this study was to compare the effect of geotectonic, soil-and biogeographical divisions on forest soil physicochemical sorption spatial links. The effect was investigated through optimal model selection and its comparison among the soil cover division systems of Central-European Highlands in the Czech Republic. Optimal model was selected through the closest-fitting estimations of linear global and local regressions between sorption and chemical or geomorphological forest soil properties. The optimal model comparison was carried out through linear regression with bedrock type proportion (geodiversity) at units of particular division systems. Chemical properties influenced forest soil sorption more than relief. Soil base saturation (BS) was locally more divided than cation exchange capacity (CEC). Local regression of BS with Al2O3 was divided by geotectonic systems the most, but it was not influenced by geodiversity. Geodiversity influenced local regression of CEC with Al2O3 in soil regions as well as regression with C/N in biogeographical regions. Differences between spatial links of BS and CEC suggest that forest soil sorption is divided into multi-level clusters. Spatial link modelling of soil sorption can optimalize forest growth condition division for effective management use.
Keywords:
cation-exchange capacity; organic-matter; weighted regression; resolution; fractions; ratios; soil aluminium; base saturation; geodiversity; geographically weighted regression
Available at various institutes of the ASCR
Forest Soil Physico-Chemical Sorption Spatial Links in Central-European Systems of Site Geographical Divisions
Spatial links among soil property values influence variability of soil sorption. The aim of this study was to compare the effect of geotectonic, soil-and biogeographical divisions on forest soil ...
Souhrnná výzkumná zpráva Aalto 1903
Hanuš, Jan; Fabiánek, Tomáš; Fajmon, Lukáš
2019 - English
Within the airborne hyperspectral campaign for a Finnish university Aalto University were scanned two locations - Hyytiälä (FI) - Järvselja (EST). The scanned processed data is used for other scientific purposes.\nAbstrakt: V rámci letecké hyperspektrální kampaňe pro Finskou univerzitu Aalto-yliopisto byly nasnímány dvě lokality - Hyytiälä (FI) - Järvselja (EST). Předaná zpracovaná data jsou používány pro další vědecké účely.
Keywords:
flis; hyperspectral; data; lidar; processing
Available at various institutes of the ASCR
Souhrnná výzkumná zpráva Aalto 1903
Within the airborne hyperspectral campaign for a Finnish university Aalto University were scanned two locations - Hyytiälä (FI) - Järvselja (EST). The scanned processed data is used for other ...
The Effect of temperature treatment TiO2 nanoparticles on antibacterial properties
Bytesnikova, Z.; Valeckova, V.; Švec, P.; Richtera, L.; Šmerková, K.; Vítek, Petr; Adam, V.
2019 - English
The synthesis of TiO2 nanoparticles (NPs) under various temperature treatments was described and TiO2 NPs was subsequently tested as an antibacterial agent. Scanning electron microscopy (SEM), Raman spectroscopy, Dynamic light scattering (DLS) were used to confirm structure of TiO2 NPs and detect differences between individual batches treated with different temperature. Antibacterial properties were tested on Escherichia coli (E. coli). TiO2 NPs as photocatalyst was incubated with bacterial cells under ambient light. Changes in temperature treatment can affect diameter size and crystal structure of TiO2 NPs as well as its antibacterial properties.
Keywords:
water; Titanium dioxide; pathogenic bacteria; nanoparticles; antibacterial properties; E.coli; nanomaterial
Available at various institutes of the ASCR
The Effect of temperature treatment TiO2 nanoparticles on antibacterial properties
The synthesis of TiO2 nanoparticles (NPs) under various temperature treatments was described and TiO2 NPs was subsequently tested as an antibacterial agent. Scanning electron microscopy (SEM), Raman ...
ACTRIS IMP – ÚČAST ČESKÉ REPUBLIKY V NÁRODNÍCH VÝZKUMNÝCH INFRASTRUKTURÁCH A TÉMATICKÝCH CENTRECH ACTRIS
Ondráček, Jakub; Váňa, M.; Klánová, J.; Holoubek, Ivan; Ždímal, V.
2019 - English
ACTRIS (The Aerosol, Clouds and Trace Gases Research Infrastructure) je panevropskou výzkumnou infrastrukturou, jejímž hlavním cílem je tvorba vysoce kvalitních dat a podávání informací o krátkodobých složkách atmosféry a o procesech vedoucích ke změnám těchto složek v přírodním a kontrolovaném laboratorním prostředí. ACTRIS je dlouhodobou aktivitou (již od roku 2012, viz. Obr. 1) více než 100 partnerských organizací po celé Evropě, jejichž cílem je integrace, harmonizace a distribuce vysoce kvalitních vědeckých výstupů poskytovaných nejlepšími pracovišti atmosférického výzkumu v (prozatím) 22 evropských zemích. ACTRIS je logickým pokračováním 15-tiletého rozvoje velkých výzkumných infrastruktur financovaného členskými státy a evropskou komisí (EC) prostřednictvím programu výzkumných infrastruktur (Research Infrastructure programme) zahrnujících např. Projekty EARLINET, EUSAAR, CREATE a CLOUDNET.
Available at various institutes of the ASCR
ACTRIS IMP – ÚČAST ČESKÉ REPUBLIKY V NÁRODNÍCH VÝZKUMNÝCH INFRASTRUKTURÁCH A TÉMATICKÝCH CENTRECH ACTRIS
ACTRIS (The Aerosol, Clouds and Trace Gases Research Infrastructure) je panevropskou výzkumnou infrastrukturou, jejímž hlavním cílem je tvorba vysoce kvalitních dat a podávání informací o krátkodobých ...
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