Whole-body fuel selection in ruminants: nutrient supply and utilization by major tissues

Ortigues, Isabelle; Visseiche, A.L.

doi:10.1079/pns19950051

Cited by 24 publications

(28 citation statements)

References 41 publications

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“…Liver, the largest visceral organ, accounts for 17 to 31% of total body energy expenditures (Eisemann & Nienaber, 1990;Ortigues and Visseiche 1995). All of the visceral organs account for up to 40 to 50% of body energy expenditures in sheep and cattle (Perry et al, 1997).…”

Section: Organs and Body Compositionmentioning

confidence: 99%

Factors That Affect Energy Efficiency and Indirect Response of Selection for Efficiency on Related Traits

Manafiazar¹,

McFadden²,

Goonewardene³

et al. 2012

Milk Production - An Up-to-Date Overview of Animal Nutrition, Management and Health

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Section: Organs and Body Compositionmentioning

confidence: 99%

Factors That Affect Energy Efficiency and Indirect Response of Selection for Efficiency on Related Traits

Manafiazar¹,

McFadden²,

Goonewardene³

et al. 2012

Milk Production - An Up-to-Date Overview of Animal Nutrition, Management and Health

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“…Ruminants are characterized by higher plasma concentrations of volatile fatty acids and ketone bodies and by lower plasma concentrations of long-chain fatty acids than monogastrics due to the characteristic features of digestion in ruminants, but glucose arterial concentration remains high (3 to 7 mM) whatever the mammalian species ( [54] and for review, see [14,73,75]). Birds, however, have a very high glycemia and lactatemia [87].…”

Section: Fate Of Glucosementioning

confidence: 99%

Facilitative glucose transporters in livestock species

Hocquette

Abé

2000

Reprod. Nutr. Dev.

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-The study of facilitative glucose transporters (GLUT) requires carefully done immunological experiments and sensitive molecular biology approaches to identify the various mechanisms which control GLUT expression at the RNA and protein levels. The cloning of species-specific GLUT cDNAs showed that GLUT4 and GLUT1 diverge less among species than other GLUT isoforms. The key role of GLUT in glucose homeostasis has been demonstrated in livestock species. In vitro studies have suggested specific roles of GLUT1 and GLUT3 in avian cells. In vivo studies have demonstrated a regulation of GLUTs (especially of GLUT4) by nutritional and hormonal factors in pigs and cattle, in lactating cows and goats and throughout the foetal life in the placenta and tissues of lambs and calves. All these results suggest that any changes in GLUT expression and activity (such as GLUT4 in muscles) could modify nutrient partitioning and tissue metabolism, and hence, the qualities of animal products (milk, meat).glucose transporter / pig / ruminant / poultry Résumé -Les transporteurs du glucose à diffusion facilitée chez les animaux de ferme. L'étude des transporteurs du glucose à diffusion facilitée (GLUT) nécessite des techniques en immunologie ou en biologie moléculaire précises et sensibles pour étudier la régulation de leur expression au niveau ARNm ou protéique. Le clonage d'ADNc des différents GLUT a montré que GLUT4 et GLUT1 divergent moins entre espèces que les autres isoformes de GLUT. Le rôle important des GLUT dans le contrôle de l'homéostasie du glucose a été démontré chez les animaux de ferme. Des études in vitro ont suggéré un rôle spécifique de GLUT1 et de GLUT3 dans les cellules aviaires. Des études in vivo ont mis en évidence une régulation des GLUT (notamment GLUT4) par des facteurs nutritionnels ou hormonaux chez le porc et le bovin, chez la vache ou la chèvre en lactation, et tout au long de la vie foetale dans le placenta et les tissus de l'agneau ou du veau. L'ensemble de ces résultats suggère que tout changement dans l'expression et l'activité des GLUT (tel que de GLUT4 dans les muscles) peut modifier la répartition des nutriments et le métabolisme tissulaire, et affecter ainsi la qualité des produits animaux (lait, viande).transporteur du glucose / porc / ruminant / volaille Reprod. Nutr. Dev. 40 (2000) 517-533 517

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“…First, the expected data volumes were significant (about 30 000 lines for nutrient fluxes) and would be impossible to manage with a spreadsheet like Excel. Second, as already experienced by [11], a powerful tool of crossing of information was necessary to answer the numerous pre-planned or new questions of research which brought into play many types of data. Moreover, by crossing information, a relational database facilitates the detection of the missing or erroneous data and identifiers.…”

Section: Discussionmentioning

confidence: 99%

“…Parameters of the chemical composition and the nutritional value of the feeds and diets were taken into account, since they are known to play a role in the metabolism of nutrients at the organ and tissue level [10,11]. Whenever this vital information was missing, it was decided to estimate it using a specific protocol (see Sect.…”

Section: Specifications For the Construction Of The Flora Databasementioning

confidence: 99%

Conception and development of a bibliographic database of blood nutrient fluxes across organs and tissues in ruminants: data gathering and management prior to meta-analysis

Vernet

Ortigues-Marty

2006

Reprod. Nutr. Dev.

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-In the organism, nutrient exchanges among tissues and organs are subject to numerous sources of physiological or nutritional variation, and the contribution of individual factors needs to be quantified before establishing general response laws. To achieve this, meta-analysis of data from publications is a useful tool. The objective of this work was to develop a bibliographic database of nutrient fluxes across organs and tissues of ruminant animals (Flora) under Access using the Merise method. The most important criteria for Flora were the ease to relate the various information, the exhaustivity and the accuracy of the data input, a complete description of the diets, taking into account the methods of the methodological procedures of measurement and analysis of blood nutrients and the traceability of the information. The conceptual data model was built in 6 parts. The first part describes the authors and source of publication, and the person in charge of data input. It clearly separates and identifies the experiments, the groups of animals and the treatments within a publication. The second part is concerned with feeds, diets and their chemical composition and nutritional value. The third and fourth parts describe the infusion of any substrates and the methods employed, respectively. The fifth part is devoted to the results of blood flows and nutrient fluxes. The sixth part gathers miscellaneous experimental information. All these parts are inter-connected. To model this database, the Merise method was utilised and 26 entities and 32 relationships were created. At the physical level, 93 tables were created, corresponding, for the majority, to entities and relationships of the data model. They were divided into reference tables (n = 65) and data tables (n = 28). Data processing was developed in Flora and included the control of the data, generic calculations of unknown data from given data, the automation of the estimation of the missing data or the chemical composition of the diets. It also included the construction of tables for meta-analyses and the study of the variations of several factors within publications (pre-coding of meta-analyses). Overall, the system was built to facilitate the gathering, input, validation, management and retrieval of data from publications.bibliography / database / Merise / Access / net nutrient fluxes

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Whole-body fuel selection in ruminants: nutrient supply and utilization by major tissues

Cited by 24 publications

References 41 publications

Factors That Affect Energy Efficiency and Indirect Response of Selection for Efficiency on Related Traits

Factors That Affect Energy Efficiency and Indirect Response of Selection for Efficiency on Related Traits

Facilitative glucose transporters in livestock species

Conception and development of a bibliographic database of blood nutrient fluxes across organs and tissues in ruminants: data gathering and management prior to meta-analysis

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