“…The present study showed that domestic goose farming is a predominantly male activity regardless of the type of farming practiced (84.31%). This male tendency is consistent with results obtained in poultry farming in Burkina Faso (Pindé et al, 2020), Benin (Dèdéhou et al, 2018;Dotché et al, 2021;Orounladji et al, 2022), Togo (Soara et al, 2020). Our results are, however, contrary to those obtained by other authors who argue that poultry farming (chicken and turkey) is traditionally female and practiced by about 80% of women and disadvantaged youth in most developing countries (Fosta et al, 2007;Bakoji et al, 2017).…”
Goose farming is less developed in Benin compared to chicken and guinea fowl. The objective of this study was to characterize goose farms in northern Benin through the socio-demographic profile of the goose farmers, the modes of operation of the farms, and their constraints. Data were collected through a retrospective survey from 102 farms in four agro-ecological zones (AEZ) of northern Benin: the far northern zone of Benin (FNZB), the cotton zone of northern Benin (CZNB), the food-producing zone of southern Borgou (FZSB), and the West Atacora zone (WAZ). Multiple correspondence analysis (MCA) and ascending hierarchical clustering (AHC) identified three groups of goose farmers. Group 1 was composed of primary and secondary level goose farmers whose main activity was trade (56.1%); group 2 was composed of secondary level herders whose main activity was agriculture (59.38%); and group 3 included public servants (27.59%) with university-level education. As for the feeding of the geese, Group 3 fed more feed than Groups 1 and 2, where the majority of farmers used cereals, agro-industrial by-products, and food waste (p<0.05). The farming method and the total number of birds varied between rearing groups (p<0.05). The identification of these animals through their size and silhouette was more noticeable in Group 3 (58.62%) than in Groups 1 (46.34%) and 2 (50%). The production objective of all farmers was the production of meat for consumption. All geese farmers face almost the same difficulties, such as diseases, mortality, theft, and predators. Goose farming in northern Benin was therefore family-based, with a diversity in the activities of the goose farmers, the type of farming, and the diet. The results of this study will contribute to the implementation of programs to improve goose farming in Benin.
“…The present study showed that domestic goose farming is a predominantly male activity regardless of the type of farming practiced (84.31%). This male tendency is consistent with results obtained in poultry farming in Burkina Faso (Pindé et al, 2020), Benin (Dèdéhou et al, 2018;Dotché et al, 2021;Orounladji et al, 2022), Togo (Soara et al, 2020). Our results are, however, contrary to those obtained by other authors who argue that poultry farming (chicken and turkey) is traditionally female and practiced by about 80% of women and disadvantaged youth in most developing countries (Fosta et al, 2007;Bakoji et al, 2017).…”
Goose farming is less developed in Benin compared to chicken and guinea fowl. The objective of this study was to characterize goose farms in northern Benin through the socio-demographic profile of the goose farmers, the modes of operation of the farms, and their constraints. Data were collected through a retrospective survey from 102 farms in four agro-ecological zones (AEZ) of northern Benin: the far northern zone of Benin (FNZB), the cotton zone of northern Benin (CZNB), the food-producing zone of southern Borgou (FZSB), and the West Atacora zone (WAZ). Multiple correspondence analysis (MCA) and ascending hierarchical clustering (AHC) identified three groups of goose farmers. Group 1 was composed of primary and secondary level goose farmers whose main activity was trade (56.1%); group 2 was composed of secondary level herders whose main activity was agriculture (59.38%); and group 3 included public servants (27.59%) with university-level education. As for the feeding of the geese, Group 3 fed more feed than Groups 1 and 2, where the majority of farmers used cereals, agro-industrial by-products, and food waste (p<0.05). The farming method and the total number of birds varied between rearing groups (p<0.05). The identification of these animals through their size and silhouette was more noticeable in Group 3 (58.62%) than in Groups 1 (46.34%) and 2 (50%). The production objective of all farmers was the production of meat for consumption. All geese farmers face almost the same difficulties, such as diseases, mortality, theft, and predators. Goose farming in northern Benin was therefore family-based, with a diversity in the activities of the goose farmers, the type of farming, and the diet. The results of this study will contribute to the implementation of programs to improve goose farming in Benin.
“…These findings could serve as baseline information for breeding strategies for the conservation and improvement of indigenous guinea fowl populations in Benin. It is necessary to improve the farming conditions such as the control of habitat, diet and diseases as suggested by our previous study (Orounladji et al, 2022). The 12 guinea fowl phenotypes identified in our studies on morphobiometric characterization and biodiversity of guinea fowl (Orounladji et al, 2021) are found to be from a single population.…”
Section: Discussionmentioning
confidence: 57%
“…Despite all the advantages of this indigenous resource, its productivity is low and little is known about its genetic diversity. Indeed, their reproductive performance can be improved by raising them in appropriate habitats under strict sanitary control and subjecting them to a balanced diet (Orounladji et al, 2022). However, considering only these environmental factors (reproduction, feeding, health) would omit the genotypic factor, which is also very crucial in a genetic improvement program.…”
Abstract. This study aimed to assess the genetic diversity and population structure of 12 guinea fowl phenotypes from three climatic zones (Guinean,
Sudano-Guinean and Sudanian) of Benin. A total of 96 adult guinea fowl, aged at least 6 months, were selected for blood sampling. Fragment
analysis was carried out using 17 polymorphic microsatellite markers. The informative marker combinations revealed a total of 83 alleles
across all loci, with an average of 5 alleles per locus and a mean polymorphic information content (PIC) of 0.793. This study showed an observed
heterozygosity of 0.492. The inbreeding coefficient values ranged from −0.086 in white phenotype to 0.226 in cinnamon, showing a deficit of
heterozygotes, suggesting a moderate inbreeding level. A relatively low population differentiation was observed, with a mean fixation index (Fst)
value of 0.033. The short genetic distances between phenotypes, unlike the strong genetic identities, revealed high genetic proximity between the
12 phenotypes of indigenous guinea fowl in Benin. These data indicate the existence of a single indigenous guinea fowl population with high
intra-population genetic diversity with respect to climatic zones or phenotypes. This study will help in the selection of parental breeding stock
for genetic improvement programs, as well as in the conservation for biodiversity maintenance and sustainable use of the indigenous guinea fowl in
the study zones in Benin.
“…Orounladji (2022) conducted an extensive investigation into the guinea fowl farming system. These findings not only shed light on the diverse aspects of guinea fowl farming in Benin, but also led to the identification of four distinct typologies of farmers [ 15 ]. These typologies were delineated according to factors such as geographical location, gender, educational background, undertaken activities, and incubation methods.…”
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