The study focused on the impacts of climate change on the farmer and the farming families in Niger Delta Region of Nigeria. The study specifically evaluated the perceived resultant situations attributed to climate change to determine the extent of impacts of climate change on the farmer and the farming families and also explored adoptable strategies for coping with the situations. The study adopted descriptive survey research design. Two research questions and two hypotheses guided the study. The population for the study was 246,909 respondents made up of farmers and extension workers who are registered with the State Ministries of Agriculture. Out of the nine Niger Delta states, Bayelsa and Delta states were randomly chosen for the study. Proportionate stratified random sampling technique was used to select a sample size of 5,038 respondents. Structured questionnaire and interview were used to collect data. The instruments were validated by three experts. Cronbach Alpha method was used to determine the internal consistency of the questionnaire items which yielded a coefficient of 0.81. The Statistical Product and Service Solutions (SPSS v 20.0) was employed for data analysis. The statistical tools used for data analysis were weighted mean to answer research questions and standard deviation to validate the closeness of the respondents from the mean and from each other in their responses while t-test was used to test the null hypotheses. The findings of the study revealed that the extent of impacts of climate change on farmers and the farming families in Niger Delta region of Nigeria are moderate. Findings further revealed that climate change has led to increased poverty level and raised cost of production (input and labour cost) as indicated by the farmers. The study recommends that farmers in the region should be encouraged by providing incentives and subsidizing inputs for them by Federal and State governments as well as other non-governmental organizations, as this will go a long way in improving production especially as most farmers agree to continue cultivation even with the observed impacts.

Background: Dysmenorrhea is reported to be among the most common gynecological disorders worldwide. The current study aimed to determine the prevalence and management practices for dysmenorrhea among adolescent school girls in Nigeria. The study also aimed to determine the predictors for choosing a management option for dysmenorrhea.Methods: The study was a cross-sectional descriptive survey conducted in five conveniently selected secondary schools (high schools) in Enugu State. A 12-item questionnaire including a Visual Analog Scale was used to collect data. All data were analyzed using SPSS with significance set at p<0.05.Results: A total of 1,486 survey questionnaires were completed (88.45% response rate). The mean age of the study respondents was 15.26±1.517. The prevalence of dysmenorrhea was 51.1%. There was a significant difference (t =-6.299, p < 0.001) between the ages of the dysmenorrheic girls (15.50±1.466) and the ages of girls who were not dysmenorrheic (15.01±1.529). The mean age of Menarche was 12.64±1.450. Pain in the waist was the most common symptom reported among the respondents (57.4%, n = 853). More than one-third of the respondents reported that they take OTC medications for menstrual symptoms (31.8%, n = 472). Age and severity of dysmenorrhea significantly predicted the likelihood of taking a pharmacological agent for dysmenorrhea.Conclusion: Younger females were more likely to do nothing about menstrual pain. There is a need for adolescents to be educated on the safety and efficacy of different management options for dysmenorrhea early.

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The study focused on economic influence of climate change variables on net income of agribusinesses, particularly on crop production in Niger Delta region of Nigeria. It estimated and projected economic impacts of rainfall and temperature on the net income of crop farmers. Then it was guided by two research questions and two hypotheses. This study relied on secondary data from 129 previous studies sampled purposively. Data were collected using structured document review guide. Data were analysed using Least square multiple regression and ANOVA statistic to test the tasted null hypotheses. Findings of the study revealed that 69% of the variations in net income of crop production in Niger Delta is as a result of the alterations in rainfall and temperature, as a decrease in rainfall by 1[Formula: see text]mm resulted in decrease in net income by [Formula: see text]4.39[Formula: see text]k while an increase in temperature by 1∘C resulted in decrease in net income by [Formula: see text]6206.40[Formula: see text]k. The expected net income of crop production in Niger Delta is projected to continually decrease, from [Formula: see text]4062.14[Formula: see text][Formula: see text][Formula: see text][Formula: see text]5986.25[Formula: see text]k in the year 2025 to [Formula: see text]631.09[Formula: see text][Formula: see text][Formula: see text]5986.25[Formula: see text]k in the year 2050, based on future values of rainfall and temperature. The null hypotheses tested showed that variability in rainfall and temperature is directly proportional ([Formula: see text]) to the changes in net income of crop production for both estimation and projection in the econometric analysis. Based on the findings and implications of the study, it was recommended among others that climate change impact assessment committees should be set up at rural, state and federal levels to evaluate the impacts, and propose indigenous policies for addressing present and future losses in agribusinesses.

This paper focuses on techniques in utilizing remote sensor technology for precision crop production by farmers as climate change adaptation strategy in Nigeria. Descriptive survey research design was adopted for the study and was carried out between August 2013 and May 2014. The findings of the study revealed that 32 items were needed by farmers in utilizing sensory technology for precision crop production. The study recommended that the 32 items identified by the study should be utilized by extension agent in teaching the farmers the use of sensor technology for precision crop production while the farmers should make themselves available for the training.