MétaCan
Menu
Back to cohort
Record W4389934374 · doi:10.1093/af/vfad070

Meat protein alternatives: exotic species

2023· article· en· W4389934374 on OpenAlexaff
Ó. López-Campos

Bibliographic record

VenueAnimal Frontiers · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyComputational biology

Abstract

fetched live from OpenAlex

Meat is derived from animal muscle and a wide range of diverse animals are considered suitable for human consumption, albeit dependent on the cultural context. Although pork, poultry, beef, and lamb are the main meat categories nowadays, the list of potential alternatives is substantially broader (e.g., capybara, camel, rabbit, kangaroo, camel, water buffalo, and game meats). In the current cultural and political scenarios that are shaping the meat market, the production, and commercialization of meat from alternative species is expected to acquire a significant share of the market that is currently dominated by pork, poultry, beef, and lamb meats. Meat from some of these alternative species may be highly desired in some cultures but unthinkable in others due to cultural taboos or emotional reasons. Important considerations related to how meat is obtained and processed from each species need to be addressed for the successful commercialization and consumption of these alternative meat sources. The present issue of Animal Frontiers aims to shed light on the production, processing, and quality traits of meat obtained from other species as compared to traits of meat from conventional species. This special issue tackles different important aspects of meat protein options beyond the conventional options (pork, poultry, beef, and lamb) such as capybara, camel, game, rabbit, kangaroo, donkey, and water buffalo meats. López-Arévalo et al. (2023) provide an overview of the advances, challenges, and possibilities for sustainable use of capybara (Hydrochoerus hydrochaeris) in Colombia. The authors conclude that capybara populations have the potential to be used sustainably in the flooded savannas of the Colombian Orinoquia. The authors also discuss the need for effective policies to monitor and control commercial processes and sustainable use of capybara including the participation of harvesters and consumers. In this special issue, Suliman (2023) presents a perspective article reflecting on the importance of camel meat as a promising future source of high-quality protein. Camel meat has value that has long been ignored for largely unsubstantiated reasons. The author highlights the major current constraints that must be addressed in order to successfully commercialize camel meat as a source of high-quality protein. Segura Plaza et al. (2023) provide a manuscript on Game Meat and High-Resolution Magic Angle Spinning Nuclear Magnetic Resonance Spectroscopy: a traditional foodstuff vs. a novel analysis technology. One main conclusion that the authors reach in this manuscript is that the inclusion of game meat could diversify meat markets, hence carcass merit and meat quality parameters must be standardized to meet consumer requirements. On the other hand, enhancing the consistency of game meat quality parameters requires the implementation of new technologies such as the high-resolution magic angle spinning nuclear magnetic resonance to assess and characterize game meats. Failla et al. (2023) infer that alternative animal species, including rabbit, kangaroo, deer, buffalo, donkey, and likely others, produce meat with low N-glycolylneuraminic acid (Neu5Gc) and high N-acetylneuraminic acid (Neu5Ac) content. Hence, these alternative meats could prevent chronic inflammation while also providing essential nutrients for humans. Insights in yak meat are being also featured in the present special issue. Zhang et al. (2023) provide a thorough article that details the nutritional aspects of yak meat compared with cattle and sheep as well as the environmental benefits and market potential of raising yak. Furthermore, this feature article tackles the main challenges in the yak large-scale production. The present special issue concludes with two reviews by Huerta-Leidenz and Rodas-Gonzalez (2023) and Rodas-Gonzalez and Huerta-Leidenz (2023), which compare water buffaloes (Bubalus bubalis) and cattle (Bos indicus and Bos taurus) in terms of biological endpoints and meat quality, respectively. Despite much interest in the meat science field regarding similarities and differences between water buffalo and cattle, only a few studies have tackled this topic to date. The currently available data suggest that buffalo meat has satisfactory production traits, which are comparable to those of cattle. Furthermore, according to the literature reviewed, buffalo meat and beef are quite similar from a nutrient composition standpoint when produced under comparable conditions. Dr. Óscar López-Campos is a Livestock Carcass Merit and Market Competitiveness research scientist at the Agriculture and Agri-Food Canada Lacombe Research & Development Center (AAFC-Lacombe RDC). He completed his undergraduate studies in Animal Science in 2002, then entered into graduate studies and received a PhD in Animal Production in 2007 at the University of León (Spain). He also worked in research at the Mountain Cattle Institute of the Spanish National Research Council, completed a 3-yr Natural Sciences and Engineering Research Council of Canada post-doctoral fellowship, and over 2-yr term as a research associate at the AAFC-Lacombe RDC. The major objectives of Dr. Óscar López-Campos’ Livestock Carcass Merit and Market Competitiveness program are focused on identifying measuring, prioritizing, and utilizing objective and subjective carcass merit and meat quality assessments and attributes of economic importance to promote development, adaptation, and competitiveness of the whole meat value-chain in Canada. Dr. López-Campos is also member of the editorial boards of Meat Science and Canadian Journal of Animal Science. Corresponding author:oscar.lopezcampos@agr.gc.ca

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.241
Teacher spread0.218 · 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 designNot applicable
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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractno

Explore more

Same venueAnimal FrontiersSame topicProtein Hydrolysis and Bioactive PeptidesFrench-language works237,207