https://gphjournal.org/index.php/ar/issue/feed 2026-05-07T10:03:04+00:00 Dr. EKEKE, JOHN NDUBUEZE drekekejohn@gmail.com Open Journal Systems <p style="font-family: 'Segoe UI', sans-serif; font-size: 16px; color: #333;"><strong>GPH-International Journal of Agriculture and Research (e-ISSN&nbsp;<a href="https://portal.issn.org/resource/ISSN/3050-9602" target="_blank" rel="noopener">3050-9602</a>) </strong>is a peer-reviewed, open-access journal dedicated to advancing agricultural science and practice. The journal publishes original research, comprehensive reviews, and case studies on topics such as crop science, sustainable farming practices, agricultural economics, agri-business management, soil science, and rural development. By fostering interdisciplinary dialogue among researchers, practitioners, and policymakers, it provides a global platform for innovative solutions that promote food security and sustainable development.</p> https://gphjournal.org/index.php/ar/article/view/2389 2026-05-07T10:03:04+00:00 Oyeronke A. Adekola noreplygphjournals@gmail.com Adebukola M. Erayetan noreplygphjournals@gmail.com Beatrice I. Oyediji noreplygphjournals@gmail.com Jessica N. Ajala noreplygphjournals@gmail.com Favour O. Nwakodo noreplygphjournals@gmail.com Samson Olayemi Sennuga dr.yemisennuga@yahoo.co.uk

<p>This study examined the influence of gender roles on CSA technology adoption through extension delivery in Ogun State, Nigeria. A multistage sampling technique selected 300 respondents comprising male and female farmers and extension agents. Data were analyzed using Latent Class Analysis (LCA), Binary Logistic Regression, Z-test analysis, and Exploratory Factor Analysis (EFA). LCA identified four distinct classes of CSA technologies promoted through extension: Crop-Centred Adopters (33.0%), Soil and Water Management Adopters (26.0%), Integrated Resilience Adopters (24.0%), and Comprehensive CSA Adopters (17.0%), with the four-class solution demonstrating optimal fit (BIC = 4,802.14; Entropy = 0.876). Logistic regression revealed that education (B = 0.211, p = 0.002), extension contact frequency (B = 0.361, p &lt; 0.001), mobile phone ownership (B = 1.241, p = 0.001), and gender-sensitive training (B = 1.374, p &lt; 0.001) were the most significant predictors of adoption among female farmers. Z-test analysis confirmed significant gender disparities across all adoption categories, with male farmers recording a higher aggregate mean score (3.54 ±0.69) than female farmers (2.55 ±0.81). EFA identified five constraint dimensions explaining 67.41% of total variance: Gender-Based Socio-Cultural Barriers (Eigenvalue = 4.914; α = 0.894), Institutional and Extension System Deficits (3.881; α = 0.861), Economic and Resource Constraints (3.021; α = 0.843), Technology Access and Literacy Barriers (2.594; α = 0.826), and Climate Information and Risk Perception Gaps (2.318; α = 0.811). These findings confirm that gender roles constitute a fundamental structural barrier to equitable CSA technology adoption, calling for gender-transformative extension programming in Ogun State.</p>

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