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Humphris Farm, Tongala
PERENNIAL PASTURE
Accumulation Rates
(kgDM/ha/day)
The following figures were calculated using readings from the Automated Pasture Reader (APR) and calibration cuts taken through the same time period. For details on the methodology, see here.
The figures in the first column are derived from previous research: R. Stockdale (1983) 'Irrigated pasture productivity and its variability in the Shepparton region of northern Victoria' Australian Journal of Experimental Agriculture and Animal Husbandry 23(121) 131 - 139
Nutritional Information
Pasture samples were tested using Near Infrared Reflectance spectroscopy (NIR) and the DairyOne method. For further information on this method, click here. Samples were taken just prior to grazing. Where there were multiple samples for a given month, results have been averaged (mean).
Stewart & Matthews Farm, Yarrawalla
PERENNIAL & ANNUAL PASTURE
Accumulation Rates
(kgDM/ha/day)
The following figures were calculated using readings from the Automated Pasture Reader (APR) and calibration cuts taken through the same time period. Measurements were taken on two bays watered at different irrigation intervals. One equated to one irrigation per grazing (longer), the other to three irrigations in two grazings (shorter). The difference in irrigation intervals was not maintained through the second year of the project due to unforeseen wet weather, meaning that both bays received similar treatment. For details on the methodology, see here.
LUCERNE
Accumulation Rates
(kgDM/ha/day)
The following figures were calculated using readings from the Automated Pasture Reader (APR) and calibration cuts taken through the same time period. Measurements were taken on two bays watered at different irrigaiton intervals. For details on the methodology, see here.
SORGHUM X SUDAN
Yield estimates
Yield estimates are based on quadrat cuts (forage DM/unit area) taken at ~6 sites across each bay, with an attempt to represent the variability within each one.
Standard deviation (SD) is a measure that is used to quantify the amount of variation of a set of data values. A low standard deviation indicates that the data points tend to be close to the mean (average of all data), while a high standard deviation indicates that the data points are spread out over a wider range of values.
SORGHUM X SUDAN
Yield estimates
Yield estimates are based on quadrat cuts (forage DM/unit area) taken at ~6 sites across each bay, with an attempt to represent the variability within each one.
Standard deviation (SD) is a measure that is used to quantify the amount of variation of a set of data values. A low standard deviation indicates that the data points tend to be close to the mean (average of all data), while a high standard deviation indicates that the data points are spread out over a wider range of values.
Annuals = Italians
Accelerating Change
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