Forage

Forage is a plant material (mainly plant leaves and stems) eaten by grazing livestock. Historically, the term forage has meant only plants eaten by the animals directly as pasture, crop residue, or immature cereal crops, but it is also used more loosely to include similar plants cut for fodder and carried to the animals, especially as hay or silage. While the term forage has a broad definition, the term forage crop is used to define crops, annual or biennial, which are grown to be utilized by grazing or harvesting as a whole crop. Grass forages include: Agrostis spp. – bentgrasses Agrostis capillaris – common bentgrass Agrostis stolonifera – creeping bentgrass Andropogon hallii – sand bluestem Arrhenatherum elatius – false oat-grass Bothriochloa bladhii – Australian bluestem Bothriochloa pertusa – hurricane grass Brachiaria decumbens – Surinam grass Brachiaria humidicola – koronivia grass Bromus spp. – bromegrasses Cenchrus ciliaris – buffelgrass Chloris gayana – Rhodes grass Cynodon dactylon – bermudagrass Dactylis glomerata – orchard grass Echinochloa pyramidalis – antelope grass Entolasia imbricata – bungoma grass Festuca spp. – fescues Festuca arundinacea – tall fescue Festuca pratensis – meadow fescue Festuca rubra – red fescue Heteropogon contortus – black spear grass Hymenachne amplexicaulis – West Indian marsh grass Hyparrhenia rufa – jaragua Leersia hexandra – southern cutgrass Lolium spp. – ryegrasses Lolium multiflorum – Italian ryegrass Lolium perenne – perennial ryegrass Megathyrsus maximus – Guinea grass Melinis minutiflora – molasses grass Paspalum conjugatum – carabao grass Paspalum dilatatum – dallisgrass Phalaris arundinacea – reed canarygrass Phleum pratense – timothy Poa spp.

Integrating models across temporal and spatial scales to simulate landscape patterns and dynamics in mountain pasture-woodlands

Alexander Ludwig Johannes Peringer

Context Pasture-woodlands are semi-natural landscapes that result from the combined influences of climate, management, and intrinsic vegetation dynamics. These landscapes are sensitive to future changes in land use and climate, but our ability to predict t ...

Springer2017

Sensor and the Beast: Generalised Methods to Recognise Animal Behaviour and Quantify Energy Expenditure Using Inertial Sensors, and Applications

Integrating models across temporal and spatial scales to simulate landscape patterns and dynamics in mountain pasture-woodlands

Integrating models across temporal and spatial scales to simulate landscape patterns and dynamics in mountain pasture-woodlands

Sensor and the Beast: Generalised Methods to Recognise Animal Behaviour and Quantify Energy Expenditure Using Inertial Sensors, and Applications