Literature DB >> 9361206

A model to describe growth patterns of the mammary gland during pregnancy and lactation.

J Dijkstra1, J France, M S Dhanoa, J A Maas, M D Hanigan, A J Rook, D E Beever.   

Abstract

Extensive proliferation and death of cells in the mammary gland occur during pregnancy and lactation. In this study, a mechanistic model was developed that yielded a single equation to describe the pattern of mammary growth of mammals throughout pregnancy and lactation. The model contains a single pool, which is the cell population of the mammary gland; one influx, representing cell proliferation; and one efflux, representing cell death. The parameters of the equation lend themselves to direct physiological interpretation. The model fitted data on mammary gland DNA adequately and can be related to current knowledge on factors and inhibitors of mammary gland growth. A unique definition of the parameters of the model can be difficult because of the high degree of variation among animals, an improper number of observations, or timing, as indicated by analyses of simulated data. The model can also be applied to the study of the entire lactation curve. The widely applied gamma equation and the equation that was developed in this study were compared using weekly production data from dairy cows. The new model performed well, particularly when a sharp peak in milk production occurred. The model has the advantage of providing, for the first time, a simple biological description of the lactation curve that can be used to discriminate changes in lactational performance that are associated with experimental treatments.

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Year:  1997        PMID: 9361206     DOI: 10.3168/jds.S0022-0302(97)76185-X

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

1.  Segmented regression to describe cumulative milk production of grazing dual-purpose Holstein-Zebu cows.

Authors:  Epigmenio Castillo-Gallegos; Bernardo de Jesús Marín-Mejía
Journal:  Trop Anim Health Prod       Date:  2019-02-11       Impact factor: 1.559

2.  Comparison of mathematical models applied to f1 dairy sheep lactations in organic farm and environmental factors affecting lactation curve parameter.

Authors:  J C Angeles-Hernandez; B Albarran-Portillo; A V Gomez Gonzalez; N Pescador Salas; M Gonzalez-Ronquillo
Journal:  Asian-Australas J Anim Sci       Date:  2013-08       Impact factor: 2.509

3.  A new standard model for milk yield in dairy cows based on udder physiology at the milking-session level.

Authors:  Patrick Gasqui; Jean-Marie Trommenschlager
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

4.  Quantifying inter-group variability in lactation curve shape and magnitude with the MilkBot(®) lactation model.

Authors:  James L Ehrlich
Journal:  PeerJ       Date:  2013-03-12       Impact factor: 2.984

  4 in total

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