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Enregistrement W6976812989 · doi:10.60692/d2yjj-40218

Trends in the use of feed and water additives in Egyptian tilapia culture

2022· article· en· W6976812989 sur OpenAlexaboutno aff

Notice bibliographique

RevueGreater South Information System · 2022
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAquaculture Nutrition and Growth
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTilapiaAquacultureFisheries ResearchFish <Actinopterygii>Aquatic ecosystemAquatic animal

Résumé

récupéré en direct d'OpenAlex

Aquaculture ResearchEarly View ORIGINAL ARTICLEOpen Access Trends in the use of feed and water additives in Egyptian tilapia culture Wasseem Emam, Corresponding Author Wasseem Emam wasseem.emam@stir.ac.uk orcid.org/0000-0002-4574-0921 Institute of Aquaculture, University of Stirling, Stirling, UK Correspondence Wasseem Emam, Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, UK. Email: wasseem.emam@stir.ac.ukSearch for more papers by this authorMohamed N. El-Rewiny, Mohamed N. El-Rewiny Department of Aquaculture, Faculty of Aquatic and Fisheries Sciences, Kafrelsheikh University, Kafr El-Sheikh, EgyptSearch for more papers by this authorAttia A. Abou Zaid, Attia A. Abou Zaid Department of Aquaculture, Faculty of Aquatic and Fisheries Sciences, Kafrelsheikh University, Kafr El-Sheikh, EgyptSearch for more papers by this authorWael F. El-Tras, Wael F. El-Tras Department of Aquaculture, Faculty of Aquatic and Fisheries Sciences, Kafrelsheikh University, Kafr El-Sheikh, EgyptSearch for more papers by this authorRadi A. Mohamed, Radi A. Mohamed orcid.org/0000-0003-2538-404X Department of Aquaculture, Faculty of Aquatic and Fisheries Sciences, Kafrelsheikh University, Kafr El-Sheikh, EgyptSearch for more papers by this author Wasseem Emam, Corresponding Author Wasseem Emam wasseem.emam@stir.ac.uk orcid.org/0000-0002-4574-0921 Institute of Aquaculture, University of Stirling, Stirling, UK Correspondence Wasseem Emam, Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, UK. Email: wasseem.emam@stir.ac.ukSearch for more papers by this authorMohamed N. El-Rewiny, Mohamed N. El-Rewiny Department of Aquaculture, Faculty of Aquatic and Fisheries Sciences, Kafrelsheikh University, Kafr El-Sheikh, EgyptSearch for more papers by this authorAttia A. Abou Zaid, Attia A. Abou Zaid Department of Aquaculture, Faculty of Aquatic and Fisheries Sciences, Kafrelsheikh University, Kafr El-Sheikh, EgyptSearch for more papers by this authorWael F. El-Tras, Wael F. El-Tras Department of Aquaculture, Faculty of Aquatic and Fisheries Sciences, Kafrelsheikh University, Kafr El-Sheikh, EgyptSearch for more papers by this authorRadi A. Mohamed, Radi A. Mohamed orcid.org/0000-0003-2538-404X Department of Aquaculture, Faculty of Aquatic and Fisheries Sciences, Kafrelsheikh University, Kafr El-Sheikh, EgyptSearch for more papers by this author First published: 20 March 2022 https://doi.org/10.1111/are.15840 Funding information: This research received funding from the Natural Sciences and Engineering Reseach Council of Canada through a Postgraduate Scholarship (Doctoral) to the first author and a grant from the British Council Newton Institutional Links programme to the last two authors as part of the BOLTI-EGYPT project. The first author was also awarded a minor award for travel from the Santander Foundation. AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract This study reports the outcomes of a survey on the use of additives in 120 Egyptian grow-out farms carried out between 2018 and 2019. The survey focused on farms rearing Nile tilapia (Oreochromis niloticus) in the biggest tilapia farming region in Egypt (Kafr El-Sheikh). Results were analysed to explore whether any type of additive was used, whether they were feed- or water-based and the frequency of use. A range of farm characteristics and farm management practices were used as independent variables to explain observed additive use patterns reported by farmers. The survey also gathered production data to explore a potential relationship between the use of additives and total marketable yield or mortality. The results of this survey display very low use of any sort of additive in this tilapia farming region (<33% of respondents) which is likely representative of practices in other production regions throughout the country. The most commonly reported additive classes were antibiotics, disinfectants and probiotics with the former two primarily used for treating disease after detecting mortalities in the ponds. Feed-based additives were used more frequently than water-based ones amongst which antibiotics were the most prevalent. There was no association between the use of additives and reported fish survival or total farm production. However, this is likely constrained by the small number of farms found to be using additives relative to the overall number of surveyed farms. Given the increasing trend in the use of additives in small-scale aquaculture, further efforts are needed to establish their cost-benefit and to promote their correct use where appropriate. Moreover, clear regulations are needed to prevent misuse of antimicrobials and minimise potential food safety concerns. 1 INTRODUCTION The Egyptian aquaculture industry has seen substantial growth in recent decades, and Egypt is now the top producer in Africa (FAO, 2021). As the sector has undergone intensification with larger numbers of fish being cultured, farmers have reported more frequent outbreaks of infectious diseases (Ali et al., 2020). Such outbreaks typically necessitate the use of therapeutic treatments such as antibiotics (and disinfectants which are incorrectly used as therapeutants). In many countries, the use of natural and synthetic chemicals such as antibiotics and probiotics are used to prevent and treat diseases, improve water quality and promote growth (Desbois et al., 2021). It is now standard practice during feed production for manufacturers (and fish farm operators that formulate their own feed) to add 'sensory' additives to improve palatability, 'technological' additives such as antioxidants or emulsifiers or zootechnical additives such as enzymes and microorganisms (Flachowsky, 2018). The latter group in particular has grown in popularity with numerous studies demonstrating improved growth performance of reared animals where live cultures (so-called 'probiotics') are added to feed or in culture water (Taoka et al., 2006; Wang et al., 2008; Kesarcodi-Watson et al., 2008). Although such practices were initially developed and introduced into more intensive aquaculture systems in industrialised nations, this trend now seems to have expanded into the small-scale fish farming sector in developing countries (Elsabagh et al., 2018; Welker & Lim, 2011). Egypt is the world's eighth largest aquaculture producer, producing over 1.6 million tonnes in 2019 of which the vast majority (66%) is Nile tilapia (Oreochromis niloticus; FAO, 2021). Anecdotal evidence collected during a survey of Egyptian fish farmers in 2016 by some of the same authors of this study (unpublished) suggested that a number of small-scale fish farmers were purchasing additives such as probiotics and applying it to feed and culture water themselves (Ali et al., 2020; Desbois et al., 2021). However, it was not known how widespread this practice had become across the country, what sort of additives were commonly used, and whether or not they were used correctly. Given the absence of clear regulations and of centralised government censuses to monitor such trends, there was a need to better understand the current state of water and feed treatment in Egyptian tilapia culture. Amongst other benefits, understanding such trends could mitigate against potential poor productivity caused by the incorrect use of additives, reduce the risk of propagating antimicrobial resistance and help benchmark the sector against typical best management practices. This study reports the results of a survey on the use of additives in Egypt's largest fish farming region, Kafr El-Sheikh governorate. The majority of Egyptian fish production (>85%) is based on earthen ponds situated within and around the Nile Delta and its associated lakes (Shaalan et al., 2018). The objectives of this survey were to describe the use of additives in the Egyptian aquaculture sector and explore potential relationships with production. 2 MATERIALS AND METHODS The survey was conducted in Kafr El-Sheikh governorate in the Egyptian Nile Delta given its prominence in the Egyptian tilapia production sector (>55% of the total national production of farmed fish; Macfadyen et al., 2012). Kafr El-Sheikh is located at the north end of the Nile Delta, bordering the Mediterranean Sea and the brackish Lake Burullus to the north. Locations of surveyed farms are mapped in Figure 1. FIGURE 1Open in figure viewerPowerPoint Locations of the Nile tilapia (Oreochromis niloticus) farms surveyed in Kafr El-Sheikh governorate, Egypt 2.1 Data collection Interviews were carried out between March 2018 and April 2019 in order to cover both production and marketing seasons. The main bulk of the production cycle typically takes place in the warmer months (March to October) and the market supply peaks between September and December. The survey was conducted by asking a series of questions to 120 active tilapia farms in the study area. This number of farms was selected by reviewing an inventory of the number of documented farms in the area held by Kafr El-Sheikh University. During the interviews, farmers were asked about various feed and water additives used as well as production metrics and farm management practices. The fish farms were selected by proximity wherein interviewers walked from one farm to another (within a distance of 1–5 km). If selected fish farmers opted not to take part in the survey, they were thanked by the interviewers who then moved on to the next farm. A pilot run of the questionnaire was carried out on 12 fish fa

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,036

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,004
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,199
Écart entre enseignants0,155 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

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Publié2022
Routes d'admission1
Résumé présentoui

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