Dimensions of Consciousness and the Moral Status of Brain Organoids DOI
J. Lomax Boyd,

Nethanel Lipshitz

Neuroethics, Journal Year: 2023, Volume and Issue: 17(1)

Published: Nov. 22, 2023

Language: Английский

New insights in improving sustainability in meat production: opportunities and challenges DOI
Pavan Kumar, Ahmed Abubakar Abubakar, Akhilesh K. Verma

et al.

Critical Reviews in Food Science and Nutrition, Journal Year: 2022, Volume and Issue: 63(33), P. 11830 - 11858

Published: July 12, 2022

Treating livestock as senseless production machines has led to rampant depletion of natural resources, enhanced greenhouse gas emissions, gross animal welfare violations, and other ethical issues. It essentially instigated constant scrutiny conventional meat by various experts scientists. Sustainably in the sector is a big challenge which requires multifaced holistic approach. Novel tools like digitalization farming system market, precision farming, application remote sensing artificial intelligence manage environmental impact/GHG emission, can help attaining sustainability this sector. Further, improving nutrient use efficiency recycling feed through integration with agroecology industrial ecology, individual herd health ensuring proper biosecurity measures selective breeding, mitigating stress during are also key elements achieving production. In addition, bears direct relationship social dimensions such non-market attributes, balance between demand consumption, market policy failures. The present review critically examines aspects that significantly impact

Language: Английский

Citations

77

A consensus on the definition of positive animal welfare DOI Creative Commons
Jean‐Loup Rault, Melissa Bateson,

Alain Boissy

et al.

Biology Letters, Journal Year: 2025, Volume and Issue: 21(1)

Published: Jan. 1, 2025

The concept of animal welfare is evolving due to progress in our scientific understanding biology and changing societal expectations. Animal science has been primarily concerned with minimizing suffering, but there growing interest also promoting positive experiences, grouped under the term (PAW). However, are discrepancies use PAW. An interdisciplinary group arrived at a consensus that ‘PAW can be defined as flourishing through experience predominantly mental states development competence resilience. PAW goes beyond ensuring good physical health prevention alleviation suffering. It encompasses animals experiencing resulting from rewarding including having choices opportunities actively pursue goals achieve desired outcomes’. definition considers individual species-specific differences. provides framework for researchers investigate thereby generate innovative, informative reproducible science. Studies contribute richer picture an animal’s life may elucidate biological foundations happiness. creates inspire align care practices, legislation markets

Language: Английский

Citations

8

Optimism, pessimism and judgement bias in animals: A systematic review and meta-analysis DOI
Malgorzata Lagisz, Josefina Zidar, Shinichi Nakagawa

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2020, Volume and Issue: 118, P. 3 - 17

Published: July 16, 2020

Language: Английский

Citations

116

Review: Towards an integrated concept of animal welfare DOI Creative Commons
Inonge Reimert,

Laura E. Webb,

Manon A. van Marwijk

et al.

animal, Journal Year: 2023, Volume and Issue: 17, P. 100838 - 100838

Published: Aug. 1, 2023

Animal welfare is an important field of study due to animal sentience, yet there date no consensus on the definition welfare. There have been four key developments in science since its birth: theoretical and empirical affective states, hence our understanding thereof, has increased; a shift from primary focus unpleasant experiences towards inclusion pleasant experiences; increasing mention investigation notion cumulation time, with this, importance time component both states come forward. Following others, we define as balance or over time. The period depends when considerations are necessary, may range duration single relatively short-term entire life animal. We further propose that conceptualised this way can be assessed at three levels: level 1 represents assessment environment ‘internal factors’ such health personality, which interact their impact animals; 2 states; 3 these advancement research necessitates studies more less comparable, would facilitated by researchers mentioning concept they basing work on, working, assumptions might drawing infer interest focusing even if not mirrored timing practice. Assessment levels still needs much study, levels, including agreements validation tools.

Language: Английский

Citations

35

Vertebrate decision making leads to the interdependence of behaviour and wellbeing DOI Creative Commons
Jarl Giske, Sergey Budaev, Sigrunn Eliassen

et al.

Animal Behaviour, Journal Year: 2025, Volume and Issue: 221, P. 123101 - 123101

Published: Feb. 11, 2025

Language: Английский

Citations

1

Pharmacological manipulations of judgement bias: A systematic review and meta-analysis DOI Creative Commons
Vikki Neville, Shinichi Nakagawa, Josefina Zidar

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2019, Volume and Issue: 108, P. 269 - 286

Published: Nov. 17, 2019

Validated measures of animal affect are crucial to research spanning numerous disciplines. Judgement bias, which assesses decision-making under ambiguity, is a promising measure affect. One way validating this administer drugs with affect-altering properties in humans non-human animals and determine whether the predicted judgement biases observed. We conducted systematic review meta-analysis using data from 20 published articles that use approach, 557 effect sizes were extracted. Pharmacological manipulations overall altered bias at probe cues as predicted. However, there several moderating factors including neurobiological target drug, drug induced relatively positive or negative affective state humans, dosage, presented cue. This may partially reflect interference adverse effects should be considered when interpreting results. Thus, pattern change appears hence valuable valence.

Language: Английский

Citations

70

Does training method matter? Evidence for the negative impact of aversive-based methods on companion dog welfare DOI Creative Commons
Ana Catarina Vieira de Castro,

Danielle Fuchs,

Gabriela Munhoz Morello

et al.

PLoS ONE, Journal Year: 2020, Volume and Issue: 15(12), P. e0225023 - e0225023

Published: Dec. 16, 2020

Dog training methods range broadly from those using mostly positive punishment and negative reinforcement (aversive-based) to primarily (reward-based). Although aversive-based has been strongly criticized for negatively affecting dog welfare, there is no comprehensive research focusing on companion dogs mainstream techniques, most studies rely owner-reported assessment of behavior. The aim the present study was evaluate effects aversive- reward-based welfare within outside context. Ninety-two were recruited three schools (Group Reward, n = 42), four schools, two low proportions Mixed, 22) high Aversive, 28). For evaluating during training, video recorded sessions six saliva samples collected, at home (baseline levels) after (post-training levels). Video recordings used examine frequency stress-related behaviors (e.g., lip lick, yawn) overall behavioral state tense, relaxed), analyzed cortisol concentration. context, participated in a cognitive bias task. Results showed that Group Aversive displayed more behaviors, frequently tense states panted exhibited higher post-training increases levels than Reward. Additionally, 'pessimistic' task Dogs Mixed Finally, although Groups did not differ their performance nor levels, former states. These findings indicate methods, especially if proportions, compromise both

Language: Английский

Citations

55

Optimism and pasture access in dairy cows DOI Creative Commons
Andrew Crump,

Kirsty Jenkins,

Emily Bethell

et al.

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: March 1, 2021

Abstract Allowing dairy cattle to access pasture can promote natural behaviour and improve their health. However, the psychological benefits are poorly understood. We compared a cognitive indicator of emotion in either with or without access. In crossover experiment, 29 Holstein–Friesian cows had 18 days overnight full-time indoor housing. To assess emotional wellbeing, we tested on spatial judgement bias task. Subjects learnt approach rewarded bucket location, but not another, unrewarded location. then presented three “probe” buckets intermediate between trained locations. Approaching probes reflected an expectation reward under ambiguity—an “optimistic” bias, suggesting positive states. analysed data using linear mixed-effects models. There were no treatment differences latency probe buckets, approached known slower when they than indoors full-time. Our results indicate that, housed indoors, display less anticipatory towards reward. This reduced anticipation suggests that is more rewarding environment, which may induce states

Language: Английский

Citations

44

Going Deeper than Tracking: A Survey of Computer-Vision Based Recognition of Animal Pain and Emotions DOI Creative Commons
Sofia Broomé, Marcelo Feighelstein, Anna Zamansky

et al.

International Journal of Computer Vision, Journal Year: 2022, Volume and Issue: 131(2), P. 572 - 590

Published: Nov. 25, 2022

Abstract Advances in animal motion tracking and pose recognition have been a game changer the study of behavior. Recently, an increasing number works go ‘deeper’ than tracking, address automated animals’ internal states such as emotions pain with aim improving welfare, making this timely moment for systematization field. This paper provides comprehensive survey computer vision-based research on emotional animals, addressing both facial bodily behavior analysis. We summarize efforts that presented so far within topic—classifying them across different dimensions, highlight challenges gaps, provide best practice recommendations advancing field, some future directions research.

Language: Английский

Citations

37

Affective State Recognition in Livestock—Artificial Intelligence Approaches DOI Creative Commons
Suresh Neethirajan

Animals, Journal Year: 2022, Volume and Issue: 12(6), P. 759 - 759

Published: March 17, 2022

Farm animals, numbering over 70 billion worldwide, are increasingly managed in large-scale, intensive farms. With both public awareness and scientific evidence growing that farm animals experience suffering, as well affective states such fear, frustration distress, there is an urgent need to develop efficient accurate methods for monitoring their welfare. At present, not scientifically validated 'benchmarks' quantifying transient emotional (affective) no established measures of good welfare, only indicators poor injury, pain fear. Conventional approaches livestock welfare time-consuming, interrupt farming processes involve subjective judgments. Biometric sensor data enabled by artificial intelligence emerging smart solution unobtrusively livestock, but its potential ground-breaking solutions application yet be realized. This review provides innovative collecting big on animal emotions, which can used train models classify, quantify predict individual pigs cows. Extending this the group level, social network analysis applied model dynamics contagion among animals. Finally, 'digital twins' capable simulating predicting behaviour real time a near-term possibility.

Language: Английский

Citations

34