A simple statistical model for predicting herbage production from permanent grassland

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F06%3A00102904" target="_blank" >RIV/62156489:43210/06:00102904 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

A simple statistical model for predicting herbage production from permanent grassland

Original language description

The considerable year-to-year and seasonal variation in grassland production is of major importance to dairy farmers in Europe, as production systems must allow for the risk of unfavourable weather conditions. A large portion of the variability is causedby weather and its interaction with soil conditions and grassland management. The present study takes advantage of the interactions between weather, soil conditions and grassland management to derive a reliable grassland statistical model (GRAM) for grasslands under various management regimes using polynomial regressions (GRAM-R) and neural networks (GRAM-N). The model performance was tested with a focus on predicting its capability during unusually dry or wet years using long-term experimental data from Austrian sites. The GRAM model was then coupled with the Met&Roll stochastic weather generator to provide estimates of harvestable herbage dry matter (DM) production early in the season. It was found that, with the GRAM-N or GRAM-R

Czech name

Jednoduchý statistický model pro prognózu výnosu na trvalých travních porostech

Czech description

Podrobný popis viz. anglický abstrakt.

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GC - Plant growing, crop rotation

OECD FORD branch

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Project

<a href="/en/project/GA205%2F05%2F2265" target="_blank" >GA205/05/2265: Calibration of weather generator for sites without or with incomplete meteorological observations</a><br>

Continuities

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

Publication year

2006

Confidentiality

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

Name of the periodical

Grass and Forage Science.

ISSN

1365-2494

e-ISSN

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Volume of the periodical

61

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

19

Pages from-to

253-271

UT code for WoS article

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EID of the result in the Scopus database

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