Browsing by Author "Ayanda I.F"

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    Cattle Farmers’ Attitude Towards Artificial Insemination Technology in Kwara State, Nigeria
    (Tanzania Journal of Agricultural Sciences, 2025-04-28) Yusuf, O.J; Adesina, O.M; Apata, D.F; Ayanda I.F; Ishola, H; Ajibade, L.A
    This study examined the factors influencing cattle farmers' attitudes towards Artificial Insemination in Kwara State. A total of 140 indigenous cattle farmers were sampled using a snowball sampling technique, which involved initial participants referring additional farmers until the desired sample size was reached. Data collection was conducted through a structured interview schedule. Descriptive statistics were used to analyze the data. The findings revealed that most respondents were male (90.7%) and aged between 41 to 50 years (43.6%). Almost half of the respondents had no formal education (49.3%). The average household size was approximately 8 people, with an average of 12 years of experience in cattle production. The main breed reported was White Fulani (50.0%), with an average herd of 103 cattle. The average monthly income was N78,742.8. The study showed that 67.1% of respondents had a favourable attitude towards using AI, while 59.3% lacked an understanding of AI and 51.4% were unaware of its existence. Factors such as compatibility with culture/beliefs (25.0%), access to credit facilities (50.0%), and encouragement from government agencies (17.9%) were identified as important attitudinal factors for promoting the use of AI. Based on these findings, the provision of credit facilities, establishment of semen banks, improvement of infrastructure, and virile extension and veterinary services to increase farmers' interest in AI technology for improved productivity were recommended.
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    Comparative evaluation of forage grasses for stability analysis using GGE biplot and AMMI and forage yield modelling
    (Research on Crops, 2020) Lawal O.O; Abdulrahaman O.L; Ayanda I.F; Ishola Hakeem; Olatinwo L.K; Ibrahim U.Y
    The need for cultivation of forage grasses to feed animals, as a way of ameliorating the clashes between herders and crop farmers cannot be over emphasized. Therefore, this study was conducted during 2019 at three diverse agro-ecological zones in Kwara State, Nigeria to assess the yield potential, stability, and the possibilities of improving forage yield through secondary traits. Hence, three forage grasses (Elephant grass, Pennisetum purpureum; Gamba grass, Andropogon gayanus; and Ruzi grass, Brachiaria ruziziensis) were laid out in randomised complete block design (RCBD) wherein data was collected on vegetative, stress index traits and yield and were subjected to analysis of variance (ANOVA). Traits with significant G × E were subjected to stability analysis using genotype × genotype × environment interaction (GGE) biplot and additive main effects and multiplicative interaction (AMMI). Structural equation model was used to depict the association between yield and secondary traits. The results revealed significant (p < 0.05) difference among forage grasses for yield and other traits, hence, they are amendable to selection and improvement through breeding efforts. AMMI and GGE biplot effectively identified the best and most stable forage grass as Pennisetum purpureum (28.59 t/ha) for general adaptations, and Ruzi and Gamba for target environments. Plant height, number of tillers, leaf area, dry matter content and stay green are valuable secondary traits that are employable in improving forage yield. Pennisetum can meet the feed demand of herder’s animals, which, if adopted for cultivation and use, can reduce the incessant crises between farmers and herders in Nigeria.