Grass growth prediction in Ireland to improve grazing management practice

Autor: Ruelle, Elodie, O'Leary, M., Hennessy, D., Bonnard, L., Delaby, Luc, O'Donovan, Michael
Přispěvatelé: Bernard, Emilie
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Popis: In pasture-based systems, farmers need to make daily management decisions to ensure that their livestock have enough feed and that it is of high quality, both during the grazing season and during the housing period. Being able to predict grass growth for the following week at farm level helps farmers to betteranticipate variations in grass growth. The Moorepark St Gilles Grass Growth (MoSt GG) model works at the paddock and farm level. The model is currently used on 78 farms across Ireland. Each Tuesday, grass growth predictions for the following week are communicated to the farmers involved in the project as well as the grassland industry. The predictions are published in a weekly newsletter and other media sources. While only 78 farms are currently involved in predictions, the model will soon be incorporated into PastureBase Ireland (PBI) to predict specific farm growth for all PBI users.
Databáze: OpenAIRE