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Quantitative evaluation of grazing effect on nomadically grazed grassland ecosystems by using time-lapse cameras

Agriculture, Ecosystems and Environment, 2020
Abstract Grazing is a key factor in grassland disturbance that affects plant biomass, soil properties, and carbon exchange in grasslands. The objective of this study was to quantitatively evaluate the effects of grazing on grassland ecosystems in Mongolia.
Tomoko Nakano   +2 more
exaly   +2 more sources

The timing of birth in grazing Merino sheep

Australian Journal of Experimental Agriculture, 1993
During a 5-year study of lambing behaviour involving almost 1900 births by grazing ewes, the incidence of lambing peaked during the 5-h period 0900-1400 hours, when 28% of ewes lambed. Significant numbers of births occurred throughout the day, and so effective supervision of lambing would not be possible if attendance was restricted to daylight hours ...
Alexander, G   +3 more
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Effects of grazed stubble height and timing of grazing on resprouting of clipped oak seedlings

Agroforestry Systems, 2018
Although a number of studies have investigated the effects of grazing frequency and intensity on seedling resprouting, the influence of grazed stubble height and timing of grazing on oak seedlings is little known. In the present study, we aimed to explore the effects of grazed stubble height and timing of grazing on the seedling resprouting of twelve ...
Yihao Zhang   +4 more
openaire   +1 more source

The volatile compounds in lamb fat are affected by the time of grazing

Meat Science, 2012
This study was designed to assess whether different grazing managements affect the appearance of organic volatile compounds (VOC) in lamb fat. Forty-two lambs were divided into four groups: 9 lambs were restricted in stall and fed concentrate (S group); 12 lambs grazed from 9 am to 5 pm (8h group); 10 lambs grazed from 9 am to 1 pm (4 hAM group) and 11
Vasta V   +8 more
openaire   +2 more sources

A hybrid model for simulating grazing herds in real time

Computer Animation and Virtual Worlds, 2019
AbstractComputer simulations of animal groups are usually performed via individual‐based modelling, where simulated animals are designed on the level of individuals. With this approach, developers are able to capture behavioural nuances of real animals. However, modelling each individual as its own entity has the downside of having a high computational
Jure Demsar   +2 more
openaire   +1 more source

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