An alternative approach was carried out on a subset of 12 bulls in the heat-sensitive group where each had at least a moderate amount of data (8-44 sperm samples and appeared to display a clear heat-sensitive effect. The analysis was based on converting sperm quality % into 3 categories, passed (sperm quality 70% or better), a qualified pass (50% or better if pass had failed) or failed (less than 50%) as these are criteria for spermiogram assessment for cryopreservation. A nominal logistic regression model was fitted to model the proportion of pass and qualified pass as a function of Tmax 17 days prior, the failed category being the reference condition, The predictions from the model were used to prepare a plot of proportion of sperm samples meeting the pass or qualified pass conditions as a function of Tmax 17 days prior.
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