Plant, Soil and Environment, 2007 (vol. 53), issue 10
A neural network model for prediction of deoxynivalenol content in wheat grain based on weather data and preceding crop
K. Klem, M. Váňová, J. Hajšlová, K. Lancová, M. Sehnalová
Plant Soil Environ., 2007, 53(10):421-429 | DOI: 10.17221/2200-PSE 
Deoxynivalenol (DON) is the most prevalent Fusarium toxin in Czech wheat samples and therefore forecasting this mycotoxin is a potentially useful tool to prevent it from entering into food chain. The data about DON content in wheat grain, weather conditions during the growing season and cultivation practices from two field experiments conducted in 2002-2005 were used for the development of neural network model designed for DON content prediction. The winning neural network is based on five input variables: a categorial variable - preceding crop, and continuous variables - average April temperature, sum of April precipitation, average temperature 5...
Chlorophyll fluorescence as an indicator of fluoranthene phototoxicity
M. Kummerová, L. Váňová
Plant Soil Environ., 2007, 53(10):430-436 | DOI: 10.17221/2197-PSE
The effect of the short-time exposure (12, 24 and 48 h) of increasing concentration (0.1, 1 and 10 mg/l) of intact (FLT) and photo-modified (phFLT) fluoranthene on the chlorophyll fluorescence parameters (F0, FV/FM and ΦII) in pea plants (Pisum sativum L. cv. Lantra) was investigated. Plants took up both forms of fluoranthene by two different ways, via roots or via leaves. The obtained results demonstrated a significant increase in F0 and decrease in FV/FM and ΦII in plants treated by 1 and 10 mg/l FLT and...
Cot-based cloning and sequencing of the short arm of wheat chromosome 1B
H. Šimková, J. Janda, E. Hřibová, J. Šafář, J. Doležel
Plant Soil Environ., 2007, 53(10):437-441 | DOI: 10.17221/2195-PSE
Sequencing of cereal genomes is not a feasible task due to their large size and high content of repetitive DNA sequences. There are two basic approaches to simplify analysis of such genomes: reduced representation approaches, such as EST sequencing, methyl filtration and Cot-based cloning and sequencing; on the other side there is analysis of genomes in a step-wise manner, e.g. through creation of chromosome-specific genomic resources. Combination of both approaches - i.e. Cot-based cloning and sequencing of DNA obtained from a chromosome-arm-specific BAC library - was tested in this work.
A short guide to phylogeny reconstruction
E. Michu
Plant Soil Environ., 2007, 53(10):442-446 | DOI: 10.17221/2194-PSE
This review is a short introduction to phylogenetic analysis. Phylogenetic analysis allows comprehensive understanding of the origin and evolution of species. Generally, it is possible to construct the phylogenetic trees according to different features and characters (e.g. morphological and anatomical characters, RAPD patterns, FISH patterns, sequences of DNA/RNA and amino acid sequences). The DNA sequences are preferable for phylogenetic analyses of closely related species. On the other hand, the amino acid sequences are used for phylogenetic analyses of more distant relationships. The sequences can be analysed using many computer programs. The methods...
Chromosome walking with BAC clones as a method of genome mapping
Z. Kubát
Plant Soil Environ., 2007, 53(10):447-450 | DOI: 10.17221/2198-PSE
Current sequencing projects are often based on random sequencing of genomic libraries followed by contig assembly by means of bioinformatics tools. This approach is convenient for whole genome sequencing projects. Chromosome walking described here is suitable for mapping and sequencing of short genomic regions in species where whole genome sequencing is not possible or for cloning gene from its closest known marker. This method is based on searching for overlapping BAC clones specific for the genomic region of interest.
Isolation and detection of small RNA molecules
J. Fulneček
Plant Soil Environ., 2007, 53(10):451-455 | DOI: 10.17221/2196-PSE
The article describes in detail methodical procedures for isolation of small RNA molecules, their electrophoresis, northern blotting and finally detection by hybridization with radioactively labeled riboprobes. The presented protocols were successfully introduced and used in our laboratory.
Applying statistics for nonsequential yield component analysis - Information
M. Kozak, S. Samborski, M.S. Kang, J. Rozbicki
Plant Soil Environ., 2007, 53(10):456-463 | DOI: 10.17221/2199-PSE
In the paper, an application of the methodology for analyzing yield as affected by its components that develop at the same ontogenetic level is discussed; it may also be applied to any model in which several traits developing non-sequentially affect their product. The methodology is called "nonsequential yield component analysis". Two applications are presented; the proposed approach is compared with path analysis, commonly applied for yield component analysis, and Piepho's approach. In one example, grain yield of two cultivars of winter triticale (×Triticosecale Wittmack), Fidelio and Bogo, as affected by harvest index and biomass yield, was...