FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2018009078> ?p ?o ?g. }

• W2018009078 endingPage "268" @default.
• W2018009078 startingPage "253" @default.
• W2018009078 abstract "The current trend in energy feeding systems for ruminants toward a nutrient-based system requires dietary energy supply to be determined in terms of amount and nature of absorbed energy-yielding nutrients. The objective of this study was to establish response equations on the net portal appearance (NPA) of VFA and glucose, and their secondary metabolites beta-hydroxybutyrate (BHBA) and lactate, to changes in intake level and chemical dietary characteristics based on the Institut National de la Recherche Agronomique Feed Evaluation System for Ruminants. Meta-analyses were applied on published data compiled from the FLORA database, which pools the results on net splanchnic nutrient fluxes in multi-catheterized ruminants from international publications. For each nutrient, several prediction variables were tested. We obtained robust models for intakes up to 30 g of DM x d(-1) x kg of BW(-1) and diets containing less than 70 g of concentrate per 100 g of DM. These models were designed to predict the NPA (mmol x h(-1) x kg of BW(-1)) of total VFA based on the amount of ruminally fermented OM (RfOM) intake [adjusted R(2) (R(2)(adj)) = 0.95; residual means square errors (RMSE) = 0.24], to predict VFA profile (mol/100 mol of total VFA) based on type of RfOM intake (acetate: R(2)(adj) = 0.85, RMSE = 2.2; propionate: R(2)(adj) = 0.76, RMSE = 2.2; butyrate: R(2)(adj) = 0.76, RMSE = 1.09), and to predict the NPA (mmol x h(-1) x kg of BW(-1)) of glucose based on the starch digested in the small intestine independent of ruminant species, and while presenting no interfering factors on the residuals and individual slopes. The model predicting the NPA (mmol x h(-1) x kg of BW(-1)) of BHBA based on the amount of RfOM intake (R(2)(adj) = 0.91; RMSE = 0.036) was species-dependent, and the model predicting NPA (mmol x h(-1) x kg of BW(-1)) of lactate based on starch digested in the rumen (R(2)(adj) = 0.77; RMSE = 0.042) presented a wide dispersion. However, the NPA (mmol x h(-1) x kg of BW(-1)) of BHBA was related to the NPA of both butyrate (R(2)(adj) = 0.85; RMSE = 0.054) and acetate (R(2)(adj) = 0.85; RMSE = 0.052), and the NPA (mmol x h(-1) x kg of BW (-1)) of lactate was related to the NPA of propionate (R(2)(adj) = 0.51; RMSE = 0.096). This research showed that it is possible to accurately predict the amount and nature of absorbed nutrient fluxes based on dietary characteristics in both sheep and cattle. This work aims to quantify the consequences of digestion and portal-drained viscera metabolism on nutrient availability. These results can provide deeper insight into biological processes and help develop improved tools for dietary formulation." @default.
• W2018009078 created "2016-06-24" @default.
• W2018009078 creator A5009889792 @default.
• W2018009078 creator A5014902534 @default.
• W2018009078 creator A5026722424 @default.
• W2018009078 creator A5051790512 @default.
• W2018009078 creator A5074405852 @default.
• W2018009078 creator A5078436292 @default.
• W2018009078 date "2009-01-01" @default.
• W2018009078 modified "2023-10-18" @default.
• W2018009078 title "Empirical prediction of net portal appearance of volatile fatty acids, glucose, and their secondary metabolites (β-hydroxybutyrate, lactate) from dietary characteristics in ruminants: A meta-analysis approach1" @default.
• W2018009078 cites W1210684002 @default.
• W2018009078 cites W1481284785 @default.
• W2018009078 cites W1491936230 @default.
• W2018009078 cites W1556106041 @default.
• W2018009078 cites W1571897410 @default.
• W2018009078 cites W175264545 @default.
• W2018009078 cites W1754420951 @default.
• W2018009078 cites W1761932985 @default.
• W2018009078 cites W1768058393 @default.
• W2018009078 cites W1779899521 @default.
• W2018009078 cites W1794811791 @default.
• W2018009078 cites W1873959870 @default.
• W2018009078 cites W1914724083 @default.
• W2018009078 cites W1967647948 @default.
• W2018009078 cites W1980280471 @default.
• W2018009078 cites W1992273288 @default.
• W2018009078 cites W2004315928 @default.
• W2018009078 cites W2007797840 @default.
• W2018009078 cites W2009545107 @default.
• W2018009078 cites W2011524071 @default.
• W2018009078 cites W2017117546 @default.
• W2018009078 cites W2025472699 @default.
• W2018009078 cites W2029410337 @default.
• W2018009078 cites W2030120276 @default.
• W2018009078 cites W2033071505 @default.
• W2018009078 cites W2042090300 @default.
• W2018009078 cites W2043696785 @default.
• W2018009078 cites W2043870571 @default.
• W2018009078 cites W2047448003 @default.
• W2018009078 cites W2049310168 @default.
• W2018009078 cites W2055850017 @default.
• W2018009078 cites W2062641863 @default.
• W2018009078 cites W2065685470 @default.
• W2018009078 cites W2065828441 @default.
• W2018009078 cites W2067839643 @default.
• W2018009078 cites W2077084428 @default.
• W2018009078 cites W2080484555 @default.
• W2018009078 cites W2083748695 @default.
• W2018009078 cites W2087600363 @default.
• W2018009078 cites W2107219795 @default.
• W2018009078 cites W2110865452 @default.
• W2018009078 cites W2112309462 @default.
• W2018009078 cites W2116102183 @default.
• W2018009078 cites W2124808553 @default.
• W2018009078 cites W2135571548 @default.
• W2018009078 cites W2146236844 @default.
• W2018009078 cites W2161425997 @default.
• W2018009078 cites W2168201179 @default.
• W2018009078 cites W2267359369 @default.
• W2018009078 cites W2304461027 @default.
• W2018009078 cites W2324826332 @default.
• W2018009078 cites W2406440866 @default.
• W2018009078 cites W2409297700 @default.
• W2018009078 cites W2416919280 @default.
• W2018009078 cites W2417418172 @default.
• W2018009078 cites W2418389388 @default.
• W2018009078 cites W2418931097 @default.
• W2018009078 cites W2435298853 @default.
• W2018009078 cites W263794920 @default.
• W2018009078 cites W26750561 @default.
• W2018009078 cites W277373243 @default.
• W2018009078 cites W2945994536 @default.
• W2018009078 cites W320152627 @default.
• W2018009078 cites W329567878 @default.
• W2018009078 cites W337353832 @default.
• W2018009078 cites W4244106141 @default.
• W2018009078 cites W4247649632 @default.
• W2018009078 cites W4250366374 @default.
• W2018009078 cites W74570429 @default.
• W2018009078 cites W813801718 @default.
• W2018009078 doi "https://doi.org/10.2527/jas.2008-0939" @default.
• W2018009078 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18791148" @default.
• W2018009078 hasPublicationYear "2009" @default.
• W2018009078 type Work @default.
• W2018009078 sameAs 2018009078 @default.
• W2018009078 citedByCount "40" @default.
• W2018009078 countsByYear W20180090782012 @default.
• W2018009078 countsByYear W20180090782013 @default.
• W2018009078 countsByYear W20180090782014 @default.
• W2018009078 countsByYear W20180090782015 @default.
• W2018009078 countsByYear W20180090782016 @default.
• W2018009078 countsByYear W20180090782018 @default.
• W2018009078 countsByYear W20180090782019 @default.
• W2018009078 countsByYear W20180090782020 @default.
• W2018009078 countsByYear W20180090782021 @default.
• W2018009078 countsByYear W20180090782022 @default.
• W2018009078 countsByYear W20180090782023 @default.

• next