Nová metoda odhadu výnosu TTP v normálních a suchých letech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F05%3A00087212" target="_blank" >RIV/62156489:43210/05:00087212 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Method for Estimation of the Permanent Grassland Yields During Normal and Dry seasons

Popis výsledku v původním jazyce

Grasslands used either for forage production or as pastures compose significant portion of Austrian territory (22% or 1.9 mil. ha), constitute an important landscape feature as well as part of the agriculture production system. In the same time grasslandproduction vary considerably among years and also among cuts due to the climatic factors. This is of major importance to dairy farmers since the whole farming system must account for the risk of unfavorable weather conditions. The main aim of the presented work therefore was to set up a reliable statistical model for grasslands under various management regimes and apply it over a range of tasks. The GRAssland statistical Model (GRAM) was calibrated and evaluated using the long-term field experimental data from three Austrian sites at Gumpenstein (1961-2001), Piber (1971-2001) and Admont (1977-1999). GRAM performance was then thoroughly tested with focus on its predicting capability during so-called "extreme years" that were characteriz

Název v anglickém jazyce

Method for Estimation of the Permanent Grassland Yields During Normal and Dry seasons

Popis výsledku anglicky

Grasslands used either for forage production or as pastures compose significant portion of Austrian territory (22% or 1.9 mil. ha), constitute an important landscape feature as well as part of the agriculture production system. In the same time grasslandproduction vary considerably among years and also among cuts due to the climatic factors. This is of major importance to dairy farmers since the whole farming system must account for the risk of unfavorable weather conditions. The main aim of the presented work therefore was to set up a reliable statistical model for grasslands under various management regimes and apply it over a range of tasks. The GRAssland statistical Model (GRAM) was calibrated and evaluated using the long-term field experimental data from three Austrian sites at Gumpenstein (1961-2001), Piber (1971-2001) and Admont (1977-1999). GRAM performance was then thoroughly tested with focus on its predicting capability during so-called "extreme years" that were characteriz

Druh

D - Stať ve sborníku

CEP obor

GC - Pěstování rostlin, osevní postupy

OECD FORD obor

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Projekt

<a href="/cs/project/GA205%2F05%2F2265" target="_blank" >GA205/05/2265: Kalibrace generátoru meteorologických dat pro místa s žádnými či neúplnými pozorováními</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2005

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Geophysical Research Abstracts

ISBN

1029-7006

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

8383-8383

Název nakladatele

European Geosciences Union

Místo vydání

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Místo konání akce

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Datum konání akce

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Typ akce podle státní příslušnosti

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Kód UT WoS článku

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