Behavioral and health problems of poultry related to rearing systems

Relic, Renata; Sossidou, E.; Dedousi, Anna; Perić, Lidija; Božičković, İvana; Đukić-Stojčić, M.

doi:10.33988/auvfd.597496

Cited by 16 publications

(20 citation statements)

References 45 publications

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“…This is particularly evident in the poultry meat production, in fact, modern broilers reach slaughtering weights in short cycles of about 40 days with a high percentage of meat yield [3]. Unfortunately, in addition to all the benefits listed above these high-performance strains (HPS) show welfare and health issues, skeletal imbalances, metabolic disorders, and muscle abnormalities, which affect the appearance of the meat, nutritional traits, and acceptance by consumers [4,5].…”

Section: Introductionmentioning

confidence: 99%

Poultry biodiversity for alternative farming systems development

et al. 2022

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Poultry biodiversity represents a key factor to improve poultry resilience and promote sustainable and low input farming systems. The EU and member states promote protection of livestock biodiversity and the development of alternative farming through funding projects such as “Local Chicken Breeds in Alternative Production Chain: Welfare, Quality and Sustainability” (funded by the Italian Ministry of Research and University). The aim of the present research was to identify among five different poultry genotypes Bionda Piemontese (BP), Robusta Maculata (RM), RM x Sasso (RMxS), BP x Sasso (BPxS) and a commercial hybrid (Ross 308) the best suitable breed in terms of productivity and welfare for alternative housing system. A total of 300 (60 x genotype), 21 days old male birds were randomly allotted in two housing systems: 1) standard intensive farming (controlled environment, 33 kg/m2 and standard diet) and 2) free-range (“natural” environmental conditions, 21 kg/m2, access to outdoor area and low-input diet). Slaughtering was performed at 81 days of age. During the trial, the productive performance and behaviour of the animals were evaluated. The housing system, the genotype and their interaction significantly affected many of the studied variables, showing broiler not the ideal genotype for extensive farming system, which is more suited for low/medium performance strains.

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Section: Introductionmentioning

confidence: 99%

Poultry biodiversity for alternative farming systems development

et al. 2022

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“…Chickens restricted to enclosure are also much more likely to be attacked by predators [ 21 ] and parasites [ 22 ]. In non-cage systems, there is a higher risk of coccidiosis and a higher incidence of bacterial infections, such as rubella, E. coli, pasteurellosis, histomoniasis and ascariasis in comparison to the cage systems [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of the Type of Non-Caged Housing System, Genotype and Age on the Behaviour of Laying Hens

Sokołowicz

Dykiel

Topczewska

et al. 2020

Animals

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This study investigated the welfare of laying hens in different non-caged housing systems, namely a deep-litter barn system (BS), a free-range system (FRS) and an organic system (OS). The study was conducted on 270 hens of a native breed Green-legged Partridge (Z-11) and 270 Hy-Line Brown hybrids. Visual scans were performed to record behaviour of hens. Hens were housed in groups of 30 and observed over the course of one day at 20, 36 and 56 weeks of age. Dustbathing, scratching, wing stretching, wing flapping and preening were recorded as comfort behaviours. Pecking, fighting, threatening and chasing were recorded as agonistic behaviours. The percentage of run use was higher in native hens than in commercial hens (p < 0.05). The proportion of hens exhibiting comfort behaviours housed in the FRS and OS was similar but over twice as high as in the BS (p < 0.05). In the FRS and OS, the percentage of hens displaying comfort behaviours increased with age (p < 0.05). In all the production systems, the percentage of birds displaying comfort behaviours was higher in native breed hens than in commercial breeds (p < 0.05). In the BS, the higher proportion of hens displaying an agonistic behaviour was seen more in commercial breed than in the native breed hens (p < 0.05). The percentage of birds displaying an agonistic behaviour declined with hen age, both in commercial and native breed hens.

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“…Non-invasive sensors comprising video and thermal imaging cameras, microphones, and wearable TNO Holst 3-in-1 patches (monitoring heart rate, respiration rate, and activity) will help in the collection of data on behavioral and affective states. Data collected during natural behaviour, without any interference from experimenters, and the data collected during protocols in which defined positive and negative affective states will be induced in the animals using established protocols, including withholding high-value food from animals to induce disappointment [96]; placing animals in crowded situations to induce frustration [97,98]; and petting and socializing the animals to induce contentment [99,100] are some possibilities.…”

Section: Modelling Farm Animal Affective State and Behaviour Using Mu...mentioning

confidence: 99%

“…Antagonistic social interactions, such as aggressive behaviours, are a serious health and welfare problem that affects not only the animals but also the animal caretakers. They include tail biting among pigs [143], feather pecking and cannibalistic behaviour among poultry [97], and microaggressions among cattle [144]. In contrast, synergistic interactions between individuals in a herd decrease stress, reduce inter-animal aggression, and help to prevent challenging or dangerous human-animal interactions from arising.…”

Section: Comparative Analysis Of Annotated Affective and Behavioural ...mentioning

confidence: 99%

Affective State Recognition in Livestock – Artificial Intelligence Approaches

Neethirajan¹

2022

Preprint

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Emotions or affective states recognition in farm animals is an underexplored research domain. Despite significant advances in the animal welfare research, the animal affective computing through the development and application of devices and platforms that can not only recognize but interpret and process the emotions, are in nascent stage. By capitalizing on the immense potential of biometric sensors, the artificial intelligence enabled big data methods substantially offers advancement of animal welfare standards and meet the urgent need of caretakers to respond effectively to maintain the wellbeing of their animals. 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 as affective states such as fear, frustration and distress, there is an urgent need to develop efficient and accurate methods for monitoring their welfare. At present, there are no scientifically validated ‘benchmarks’ for quantifying transient emotional (affective) states in farm animals, and no established measures of good welfare, only indicators of poor welfare, such as injury, pain and fear. Conventional approaches to monitoring livestock welfare are time consuming, interrupt farming processes and involve subjective judgments. Biometric sensors data enabled by Artificial Intelligence are an emerging smart solution to unobtrusively monitoring livestock, but their potential for quantifying affective states and groundbreaking solutions in their application are yet to be realized. This review provides innovative methods for collecting big data on farm animal emotions, which can be used to train artificial intelligence models to classify, quantify and predict affective states in individual pigs and cows. Extending this to the group level, social network analysis can be applied to model emotional dynamics and contagion among animals. Finally, ‘digital twins’ of animals capable of simulating and predicting their affective states and be-havior in real time are a near-term possibility.

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Behavioral and health problems of poultry related to rearing systems

Cited by 16 publications

References 45 publications

Poultry biodiversity for alternative farming systems development

Poultry biodiversity for alternative farming systems development

The Effect of the Type of Non-Caged Housing System, Genotype and Age on the Behaviour of Laying Hens

Affective State Recognition in Livestock – Artificial Intelligence Approaches

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