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However, Grossman et al. [ 11] developed a new model for lactation curves which allows the definition of persistency as the number of days at peak lactation.
An important outcome of these results is that combining Wood's model for lactation yield estimation and as few as four, five or six strategically placed test-day records can produce estimates of lactation yield that are comparable with estimates based on monthly test-day records using the test-interval method.
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Overall, we validated the use of RNA extracted from human and macaque milk and provided evidence to support the use of lactating macaques as a model for human lactation.
In summary, we validated the use of RNA extracted from human and macaque milk and provided evidence to support the use of lactating macaques as a model for human lactation.
This study presents evidence for the use of lactating rhesus macaques as a model for human lactation.
Methods: ICRP95 developed a comprehensive model for the lactating breast, and breast dose during lactation was calculated.
The number and their placement are often empirical, although White and colleagues [ 2] have suggested that eight knot points is usually sufficient for modelling lactation curves.
The model for y included a fixed fourth order polynomial for age at calving and a fixed ninth-order polynomial for lactation length, while the model for ψ s included a third and a sixth order polynomial for age at calving and lactation length, respectively.
For modelling the lactation curves, lactation data from different generations, AMM backcross (AMM), AM_AMM double backcross (DBC) and intercross (INT) progeny (n = 622), were used.
Although we simplified our model from the mouse model (Lee et al. 2007), we maintained the most relevant compartments (fat, mammary tissue for lactation, liver for metabolism).
Thus, in addition to the important nutritional implications, lactation provides a model for basic biological processes such as the proliferation, differentiation, survival and death of cells.
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