1959
DOI: 10.1080/00288233.1959.10420317
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Mathematical analysis of growth curves replicated in time

Abstract: SummaryAlternative mathematical models for the analysis of growth curves replicated in time are fitted and their efficiencies in a field growth study compared.Modifications of the models necessary for their application to data where the time replication interval is greater than the recording interval are described.The magnitude of bias in the parameters fitted because of systematic errors in the preliminary cutting of the plots, is determined. An example of the mathematical procedure is also given.

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Cited by 6 publications
(2 citation statements)
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“…This is partly at variance with the conclusions of Brougham (1959). Having eliminated seasonal effects by using a mathematical technique due to Glenday (1959), he related weekly variations in the yield of a mixed short-rotation ryegrass/clover sward (w) to climatological factors. He found significant positive correlations of w for ryegrass with radiation and temperature range, but not with maximum or minimum temperature; however, only 23% and 12% of the variation in w was accounted for (r = 0-47 and 0-35 respectively).…”
Section: The Influence Of the Weather On Growthmentioning
confidence: 99%
“…This is partly at variance with the conclusions of Brougham (1959). Having eliminated seasonal effects by using a mathematical technique due to Glenday (1959), he related weekly variations in the yield of a mixed short-rotation ryegrass/clover sward (w) to climatological factors. He found significant positive correlations of w for ryegrass with radiation and temperature range, but not with maximum or minimum temperature; however, only 23% and 12% of the variation in w was accounted for (r = 0-47 and 0-35 respectively).…”
Section: The Influence Of the Weather On Growthmentioning
confidence: 99%
“…The technique Brougham used in his pasture growth studies was developed in collaboration with Glenday (1955Glenday ( , 1959 and involved layouts that provided replication in time as well as space to allow separation of temporary weather variations on growth. This enabled derivation of pasture growth curves with the influence of shortterm weather fluctuations removed.…”
Section: Effects Of Season and Weather On Pasture Productionmentioning
confidence: 99%