GPH-International Journal of Agriculture and Research https://gphjournal.org/index.php/ar <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> en-US <p>Author(s) and co-author(s)&nbsp;jointly&nbsp;and severally represent and warrant that the Article is original with the author(s) and does not infringe any&nbsp;copyright or violate any other right of any third parties, and that the Article has not been published&nbsp;elsewhere.&nbsp;Author(s) agree to the terms that the <strong>GPH Journal</strong> will have the full right to remove the published article on any misconduct found in the published article.</p> drekekejohn@gmail.com (Dr. EKEKE, JOHN NDUBUEZE) info@gphjournal.org (Dossa Kossivi Fabrice) Sun, 31 Aug 2025 00:00:00 +0000 OJS 3.1.1.2 http://blogs.law.harvard.edu/tech/rss 60 EFFECT OF CLIMATE CHANGE ON SOYA BEANS (Glycine max) OUTPUT IN NIGERIA https://gphjournal.org/index.php/ar/article/view/2076 <p>The study examined climate change effects on soya beans output in Nigeria. Data were collected from the Food and Agriculture Organization (FAO) and the Nigerian Meteorological Agency (NIMET) from 1981-2018. The effect of climate change was analyzed using Autoregressive Distributed Lag Bound approach, Error Correction Model and Augmented Dickey– Fuller tests for stationarity test. On the effects of climatic variables on soya beans output, the coefficient of multiple determination (R<sup>2</sup>) 0.7965, shows that about 79.65%, of the variations in soya beans output was explained by the climatic variables. F-statistics of 24.27 is significantly higher than the lower bound of 2.9 and the upper bound of 3.8 at 5% level. This indicates that there is a long run relationship between soya beans output and the climatic variables in the model. The ECM value of soya beans output is -0.126. The magnitude of the coefficient estimate of ECM suggests that 12.6% of the disequilibrium caused by previous years’ shocks converges back to the long-run equilibrium in the current year. This reveals that the speed of adjustment will adjust to the long-term equilibrium. The study recommends the need for policy makers to establish temperature monitoring systems and thresholds to preemptively address warming that could negatively impact soya beans output.</p> Audu, I. A, Bulus, G., DANJI, M. B. ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc-nd/4.0 https://gphjournal.org/index.php/ar/article/view/2076 Sat, 13 Sep 2025 10:36:37 +0000 DIVERSITY AND TEAM MANAGEMENT AS PREDICTORS OF ORGANIZATIONAL EFFECTIVENESS OF AGRICULTURAL COOPERATIVE SOCIETIES IN ANAMBRA STATE https://gphjournal.org/index.php/ar/article/view/2108 <p>The study determined diversity and team management as predictors of organizational effectiveness of agricultural cooperative societies in Anambra State. The study was guided by two research questions and two null hypotheses tested at 0.05 level of significance. The study employed correlational research design. The area of the study was at Anambra State. The population of the study consisted of 3397 members and the sample size was of 358 members of cooperative societies in Anambra State. One instrument was used for data collection which was validated. The reliability of the instruments was established using Cronbach Alpha with coefficient of 0.855 which aim high for the study. The mean score where used to ascertain the effectiveness of two predictors. Mean and standard deviation were employed to answer research questions. The null hypotheses where tested using regression and observed probability value (P-Value) at the set probability value of 0.05 level of significance. The study found that diversity and team management significantly predict the organizational effectiveness of agricultural cooperative societies in Anambra State which reinforces existing scholarly evidence on the benefits of workforce heterogeneity. Based on these findings, the study recommended that the Agricultural cooperative societies should implement equitable management that ensure balanced representation across gender, age, ethnicity, disability status and religious affiliation.</p> Udeogu Joy Ifunanya, Udeogu Loveth Chinenye ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc-nd/4.0 https://gphjournal.org/index.php/ar/article/view/2108 Wed, 08 Oct 2025 00:00:00 +0000 A study of some of the biology of the Metapenaeus affinis in the waters of the North Western Arabian Gulf https://gphjournal.org/index.php/ar/article/view/2130 <p>The study showed that the sex ratio of shrimp <em>Metapenaeus affinis</em> was highest in the summer, reaching 65% females and 35% males. This was followed by summer (58% females and 42% males), then autumn (52% females and 48% males), and the lowest was recorded in winter (51% females and 49% males). Laboring females were recorded throughout the year at various stages of maturity, with the most mature and developed occurring in the summer and spring. The largest lengths of females and males were recorded (16.7 and 12.5) cm, respectively, while the weights were (28.9 and 15.2) g, respectively.</p> Tariq H. Y. Al-Maliky, Mahmood S. Hashim, Zahraa K.  Shakir, Intisar M. A. Jabbar ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc-nd/4.0 https://gphjournal.org/index.php/ar/article/view/2130 Sat, 30 Aug 2025 00:00:00 +0000 DYNAMICS IN CROP FARMERS USE OF E-BANKING TECHNOLOGIES TO ENHANCE FINANCIAL TRANSACTIONS UNDER THE CASHLESS POLICY ENVIRONMENT IN ENUGU STATE, NIGERIA https://gphjournal.org/index.php/ar/article/view/2117 <p>The study investigated the dynamics in crop farmers use of e-banking technologies to enhance financial transactions under the cashless policy environment in Enugu State, Nigeria. Multistage sample procedure was used to select one hundred and twenty (120) crop farmers for the study. Collection of data was done using structured interview schedule. Data analysis was done using frequency, percentage, mean scores and standard deviation. Findings show that the Information and Communication Technology channels (ICT) used by the farmers for e-banking were debit cards for e-banking (80%), Point of Sale (POS) machines (77.5%) and Automated Teller Machine (ATM) (74.2%). The positive effects of the cashless policy on crop production include: creates time for farmers to focus on their production activities (= 2.08; SD = 1.11), aids farmers in tracking cash inflow and outflow of the farm (= 1.92; SD = 1.16), and reduction in the rate of kidnapping of farmers and members of their family (= 1.92; SD = 1.07), while the negative effects include: limited access to cash for daily transaction (= 2.48; SD = 0.66), and reduction in the demand of farm products (= 2.21; SD = 0.85). The benefits of e-banking revealed by the crop farmers were enhances sending and receiving of money (93.3%), and prevention of the danger of carrying large money around (88.3%). Data show that the crop farmers are satisfied with the cashless policy because: it enhances security and protection of funds (= 1.92; SD = 1.12), and ease of online banking usage (= 1.73; SD = 1.22). Financial institutions in collaboration with the government should improve farmers access to e-banking tools through provision of provision of accessible facilities and targeted trainings in order to maximize the benefits of ICT channels, while also addressing the challenges related to cash access and demand.</p> Charles Ekene Udoye, Agwu Ekwe Agwu, Chukwuchebe Obiajulu Ugwoke, Chinedum David Okoronkwo, Chiebonam Justina Ayogu, Chisimdi Franklin Ezeogu, Chidimma Udeh, Chinwe Peace Onuorah ##submission.copyrightStatement## https://creativecommons.org/licenses/by-nc-nd/4.0 https://gphjournal.org/index.php/ar/article/view/2117 Thu, 16 Oct 2025 10:04:56 +0000