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Record W2794190237

Evaluation of volatile fatty acid stoichiometry models to predict enteric methane production in lactating Holstein cows

2011· article· en· W2794190237 on OpenAlexfundno aff
J. Dijkstra, A. Bannink, J.L. Ellis, E. Kebreab, Y. Morvay

Bibliographic record

VenueSocio-Environmental Systems Modeling · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
FundersConsejo Superior de Investigaciones CientíficasFundação para a Ciência e a TecnologiaAustralian Centre for International Agricultural ResearchNatural Sciences and Engineering Research Council of CanadaVlaamse regeringCommonwealth Scientific and Industrial Research OrganisationUniversidad de la República UruguayBijzonder Onderzoeksfonds UGentEuropean CommissionMinisterio de Ciencia e InnovaciónUniversidad Autónoma del Estado de MéxicoInstituto Nacional de Ciência e Tecnologia de Ciência AnimalBeef Cattle Research CouncilFonds Wetenschappelijk OnderzoekAgencia Española de Cooperación Internacional para el DesarrolloGovernment of Jiangsu ProvinceNational Research FoundationSvenska Forskningsrådet FormasTeagascUniversity of SydneyAustralian GovernmentAgence Nationale de la RechercheAgriculture and Agri-Food CanadaJunta de AndalucíaMeat and Livestock AustraliaConselho Nacional de Desenvolvimento Científico e TecnológicoWashington State UniversityDepartment for Environment, Food and Rural Affairs, UK Government
KeywordsMethaneStoichiometryChemistryFatty acidProduction (economics)Dairy cattleMethane emissionsAnimal scienceFood scienceBiologyBiochemistryOrganic chemistryEconomics
DOInot available

Abstract

fetched live from OpenAlex

Introduction Dietary supplements of sunflower oil (SO) in combination with marine lipids (fish oil or marine algae; MA) are known to increase the concentration of potentially beneficial bioactive lipids, including cis-9, trans-11 conjugated linoleic acid in ovine milk (Toral et al. 2010a).Changes in milk fat composition are related to diet-induced alterations in ruminal biohydrogenation (BH) of unsaturated fatty acids (FA) and associated ruminal microbiota.Inclusion of SO with fish oil also promotes the accumulation of oxygenated 18-carbon saturated FA in ruminal digesta in sheep (Toral et al. 2010b).However, the bacterial species responsible for the formation and accumulation of keto and hydroxyl FA in the rumen are not well characterised.In the current study, ruminal fluid from lactating ewes fed a diet supplemented with SO plus incremental amounts of MA was used to investigate the association between the formation and accumulation of 18carbon saturated keto FA and the variations in the rumen bacterial community. Materials and methodsTwenty-five lactating Assaf ewes were allocated to 5 experimental treatments: a total mixed ration (TMR) without lipid supplementation (Control diet) or supplemented with 25 g SO/kg DM plus 0, 8, 16 or 24 g MA/kg DM (SO, SOMA 1 , SOMA 2 and SOMA 3 diets, respectively).After 28 days on treatments, and 3 hours after removing the morning meal, samples of ruminal fluid were collected from each animal using a stomach tube.Aliquots of ruminal fluid for DNA extraction and FA determination were immediately frozen at -80ºC, freeze-dried and stored at -80ºC.Ruminal fluid FA composition was determined by GC and HPLC (Toral et al., 2010b).Microbial DNA extraction and terminal restriction fragment length polymorphism (T-RFLP) analysis of the total bacterial community were conducted as reported previously (Belenguer et al. 2010).Data were analysed by one-way ANOVA, with the MIXED procedure of the SAS software package Version 9.1 (SAS Inst.Inc., Cary, NC, USA).Results Four 18-carbon keto acids were detected in ruminal fluid (9-, 10-, 13-and 15-O-18:0).Relative abundance of all 18-carbon keto acids was low in ruminal fluid for the Control and SO treatments.However, inclusion of MA in the diet increased the accumulation of 10-O-18:0 in ruminal fluid of up to 3% of total FA (Figure 1A).The T-RFLP analysis revealed that certain fragments (T-RF) compatible with Quinella-like bacteria were present at a higher relative frequency in ruminal fluid of sheep on SOMA treatments after HhaI (98 bp) or MspI (150 plus 268 bp) digestions (Figure 1B).A concomitant accumulation of 10-O-18:0 and increased proportion of Quinella-like bacteria in ruminal fluid was also observed in ewes fed diets containing SO plus fish oil (Belenguer et al. 2010; Toral et al. 2010b).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.256
Teacher spread0.159 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2011
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