Advances in Cereal Crops Breeding |
Autore | Loskutov Igor G |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (196 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
maize
density tolerance combining ability gene effects genetic diversity rice salinity submergence tolerance blast SSR markers PCR analysis long non-coding RNAs seed development Nanopore sequencing retrotransposons triticale prediction accuracy mixed linear and Bayesian models machine learning algorithms training set size and composition parametric and nonparametric models drought stress dendrogram barley breeding marker-assisted selection genes genetic resources genome editing health benefits metabolomics oat QTL wheat Triticum aestivum L. QMrl-7B root traits grain yield nitrogen use efficiency GWAS salinity tolerance Vietnamese landraces abiotic stress root auxin YUCCA PIN proteomics mass spectrometry |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557363803321 |
Loskutov Igor G
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Forest Fire Risk Prediction |
Autore | Nolan Rachael |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (235 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
Soggetto non controllato |
fire danger rating
fire management fire regime fire size fire weather Portugal critical LFMC threshold forest/grassland fire radiative transfer model remote sensing southwest China acid rain aerosol biomass burning forest fire PM2.5 direct estimation meteorological factor regression moisture content time lag forest fire driving factors forest fire occurrence random forest forest fire management China Cupressus sempervirens fire risk fuels fuel moisture content mass loss calorimeter Seiridium cardinale vulnerability to wildfires disease alien pathogen allochthonous species introduced fungus drying tests humidity diffusion coefficients wildfire prescribed burning modeling drought flammability fuel moisture leaf water potential plant traits climate change MNI fire season fire behavior crown fire fire modeling senescence foliar moisture content canopy bulk density fire danger fire weather patterns RCP FWI system SSR occurrence of forest fire machine learning variable importance prediction accuracy epicormic resprouter eucalyptus fire severity flammability feedbacks temperate forest |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557387103321 |
Nolan Rachael
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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