Clipped Cowpea (Vigna unguiculata (L.) Walp) Fodder Utilization: A Potential for Income Growths of Resource Poor Farmers in the Savannah Regions of Nigeria
Notice bibliographique
Résumé
<p>Cowpea features prominently in the farming systems of the semi-arid tropics where they are grown for fodder used as feed for livestock. Traditional farm varieties are the indeterminate, spreading type which grow fast; cover the soil surface and produce large quantities of biomass. Studies have focused on the use of such green crop materials for soil fertility improvement. But, it’s been highlighted that a green manure crop should also be a cover crop of economic value. Such crops should raise the farmers’ income not only indirectly by improving soil fertility but also directly by yielding products of economic importance such as food and fodder. In addition, trading in these residues (fodder/ haulms) can be highly remunerating. It is against this background that this study was carried out at the Institute for Agricultural Research, Ahmadu Bello University, Samaru, Zaria, Nigeria; During the 2002-2005 wet seasons; to determining the influence of intra-row spacing, clipping height and time on the productivity and income growth potential of the dual purpose cowpea (<em>Vigna unguiculata</em> (L.) Walp). The experimental lay out was a Randomized Complete Block Design (RCBD); replicated three times. The data was analyzed statistically using the analysis of variance test (ANOVA); and the means compared using the Duncan Multiple Range Test (DMRT). Results showed that, clipping management, facilitated the production of large (15 t ha<sup>-1</sup>) amounts of green plant biomass on-farm. This could be put to various uses by the resource poor farmer who usually is cash strapped at the peak of the farming (dry) season. The farmer could choose to keep and use the fodder to feed animals, and/ or trade it off and use the proceeds (<s>N</s> 41, 000.00 - <s>N</s> 46, 000.00 - Nigerian Naira equivalent) to subsidize on fertilizer requirement and/ or meet up with immediate socio-economic family demands. Additionally, considering the high amount (187 kg<sup>-1</sup>) of N-added to the soil (i.e. about 4 bags of Urea fertilizer), a cost saving of about <s>N</s> 24, 000.00 was made by the resource poor farmer; which could have otherwise been invested into the procurement of N-fertilizer input. It is concluded that such pro-poor income growths originating from the adoption of such innovative clipping management technological farming practices as this, needs to be encouraged and supported; as this hold immense potential of increasing the income of resource poor, low income, and low technology farmers. Indeed, it is a veritable tool for the reduction of food insecurity and poverty viz. economic empowerment in the region.</p><p> </p>
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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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».