PRODUCTION AND CONSUMPTION OF UNDERUTILISED INDIGENOUS VEGETABLES (UIVs) AMONG MEN AND WOMEN FARMERS: EVIDENCE FROM SOUTHWEST NIGERIA
Notice bibliographique
Résumé
The study determined the variables influencing involvement of selected Nigeria-Canada Vegetable (NiCanVeg) project farmers in the production, processing and consumption of underutilised indigenous vegetables (UIVs) in Southwest Nigeria. Gender Equality Framework was used to draw a clear distinction and demonstrate inter-relationships among men and women farmers under the project. Seventy eight participating farmers in four purposively-selected sites (54 women and 24 men) under the Nigeria’s Obafemi Awolowo University coordinating team were interviewed for the study using a well structured interview schedule. The mean age of the male and female farmers were 41.9±1.39 and 37.17±11.03 years, respectively. The farmers were dominated by Christians; 74.4% of the total men population and 63.37% of the total women population, with mean annual income of N7,000 and N 5,800 from vegetable production for men and women farmers, respectively. Consumption of the various UIVs is high as majority (67.5% men and 85.7% women) of the farmers indicated that NiCanVeg project has increased awareness on the agronomic practices as well as the nutritional compositions of the various UIVs under study through the numerous expository programs of the project. Among the ten UIVs investigated, Igbagba/garden egg (Solanum macrocarpon) was the major vegetable grown by male farmers while Apiroko/Fluted pumpkin (Telfairia occidentalis) was the major vegetable grown by female farmers. Results of Pearson’s Correlation showed that farm size (r = 0.528; P ≤ 0.002) and previous experience(r = 0.671; P ≤ 0.000) were established as the correlates of the level of involvement in production and consumption of UIVs among men while farm size (r = 0.081; P ≤ 0.006); age (r = 0.813; P ≤ 0.048) and years of formal education (r = 0.053; P ≤ 0.05) correlated significantly with women’s level of involvement in production and consumption of UIVs. This is expected to increase the food security base of the people, in conformation with some studies that established that women play significant role in fighting hunger and food insecurity in developing countries as they are the ‘heart’ of agricultural activities in the region. It was therefore suggested that NiCanVeg should target more women involvement in production and encourage equal distribution of assets between gender with a view to increasing food production and reducing hunger in Nigeria.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».