Disentangling the relative roles of resource acquisition and allocation on animal feed efficiency: insights from a dairy cow model.
BACKGROUND
Feed efficiency of farm animals has greatly improved through genetic selection for production. Today, we are faced with the limits of our ability to predict the effect of selection on feed efficiency, partly because the relative importance of the components of this complex phenotype changes across environments. Thus, we developed a dairy cow model that incorporates the dynamic interplay between life functions and evaluated its behaviour with a global sensitivity analysis on two definitions of feed efficiency. A key model feature is to consider feed efficiency as the result of two processes, acquisition and allocation of resources. Acquisition encapsulates intake and digestion, and allocation encapsulates partitioning rules between physiological functions. The model generates genetically-driven trajectories of energy acquisition and allocation, with four genetic-scaling parameters controlling these processes. Model sensitivity to these parameters was assessed with a complete factorial design.


RESULTS
Acquisition and allocation had contrasting effects on feed efficiency (ratio between energy in milk and energy acquired from the environment). When measured over a lactation period, feed efficiency was increased by increasing allocation to lactation. However, at the lifetime level, efficiency was increased by decreasing allocation to growth and increasing lactation acquisition. While there is a strong linear increase in feed efficiency with more allocation to lactation within a lactation cycle, our results suggest that there is an optimal level of allocation to lactation beyond which increasing allocation to lactation negatively affects lifetime feed efficiency.


CONCLUSIONS
We developed a model to predict lactation and lifetime feed efficiency and show that breaking-down feed conversion into acquisition and allocation, and introducing genetically-driven trajectories that control these mechanisms, permitted quantification of their relative roles on feed efficiency. The life stage at which feed efficiency is evaluated appears to be a key aspect for selection. In this model, body reserves are also a key component in the prediction of lifetime feed efficiency since they integrate the feedback of acquisition and allocation on survival and reproduction. This modelling approach provided new insights into the processes that underpin lifetime feed efficiency in dairy cows.
UMR Modélisation Systémique Appliquée aux Ruminants, INRA, AgroParisTech, Université Paris-Saclay, 75005, Paris, France. laurence.puillet@agroparistech.fr.
Laurence
L
Puillet
Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, QC, H3C 3P8, Canada.
Denis
D
Réale
UMR Modélisation Systémique Appliquée aux Ruminants, INRA, AgroParisTech, Université Paris-Saclay, 75005, Paris, France.
Nicolas C
NC
Friggens
Animal. 2007 Feb;1(1):87-97
22444212
J Vet Med A Physiol Pathol Clin Med. 2006 Oct;53(8):383-93
16970626
Animal. 2008 Dec;2(12):1742-7
22444079
J Anim Sci. 2014 Nov;92(11):5251-66
25349367
Animal. 2016 Jan;10(1):106-16
26301951
J Anim Sci. 2013 Apr;91(4):1594-613
23345557
Animal. 2010 Dec;4(12):2030-47
22445378
J Anim Sci. 2009 Jun;87(6):2160-7
19286817
J Anim Sci. 2001 Nov;79(11):2805-11
11768108
Genet Sel Evol. 2015 Jan 17;47:2
25595328
Animal. 2010 Dec;4(12):2048-56
22445379
J Dairy Sci. 2015 Sep;98(9):6522-34
26188577
Trends Plant Sci. 2003 Jan;8(1):9-14
12523994
Trends Genet. 2013 Apr;29(4):206-14
23261029
Mech Ageing Dev. 2015 Jul;149:50-64
26086438
J Dairy Sci. 2006 Apr;89(4):1280-91
16537960
Animal. 2015 Feb;9(2):191-207
25387784
J Anim Sci. 1997 Mar;75(3):836-45
9078504
J Dairy Sci. 1997 Mar;80(3):525-9
9098803
J Dairy Sci. 2007 Nov;90(11):5291-305
17954770
J Dairy Sci. 2006 Dec;89(12):4907-20
17106123
J Dairy Sci. 2005 Mar;88(3):1255-63
15738259
J Dairy Sci. 2003 Jul;86(7):2308-19
12906047
J Anim Sci. 1984 Mar;58(3):766-78
6370948