Himeur Z., Ikhlef H., Madani T. (2022). Caractérisation des exploitations agriculture-élevage et origine de linnovation dans les principaux bassins laitiers de lAlgérie. New Medit, 01/09/2022, vol. 21, n. 3, p. 47-60.
https://doi.org/10.30682/nm2203d
https://doi.org/10.30682/nm2203d
Titre : | Caractérisation des exploitations agriculture-élevage et origine de linnovation dans les principaux bassins laitiers de lAlgérie (2022) |
Auteurs : | Z. Himeur ; H. Ikhlef ; T. Madani |
Type de document : | Article |
Dans : | New Medit (vol. 21, n. 3, September 2022) |
Article en page(s) : | p. 47-60 |
Langues : | Français |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM METHODE D'ELEVAGE ; POLYCULTURE ELEVAGE ; EXPLOITATION AGRICOLE ; INNOVATION ; PRODUCTION LAITIERE ; BOVIN LAITIER ; EXPLOITATION AGRICOLE FAMILIALE ; SYSTEME DE PRODUCTION ; CLASSIFICATION ; ALGERIE ; SETIF ; SOUK AHRAS |
Résumé : | The study focuses on dairy cattle farming systems and the sources of innovation for breeders in the Setif and Souk-Ahras dairy basins recognized by cereals, dairy cattle breeding and irrigated crops. A sample of 140 family farms was selected and surveyed between 2017 and 2018. A typology of livestock systems was constructed using of a PCA and AHC. The results show three groups. G1 retains 68% of breeders with small farms, combining polyculture with dairy cattle breeding; G2, 30% of breeders, the farm is medium-sized and the productive orientation is mixed farming and dairy cattle breeding; G3, made up of large grain farmers and mixed cattle breeders (milk/meat). The cattle breeds exploited are Red Holstein and Montbeliard, 74% dominant. The origin of innovation relating to breeding practices comes mainly from local socio_x0002_technical networks, whereas formal extension by public services is ineffective (0.64 %). It appears that group1 occupies the first position in terms of acquiring information on innovations, followed by G2 and 3. Socio-technical networks operate from 27 to 33% in the 3 groups. The veterinarian contributes 25% in G1 and 2; at 41% in G3. |
Cote : | En ligne |
URL / DOI : | https://doi.org/10.30682/nm2203d |