2024/04/02 by Girma Negasa, Regasa, Tena, Tolemariam Chimdesa
#Assessment #Gimbi district #heavy rain #ice- rain #impact of climate variability #temperature
paper · doi:10.20372/star.v13i1.07
This study was conducted in Gimbi District with the specific objectives of assessing the impact of climate variability on sesame yield per hectare, the impact of climate variability on sesame plants or vegetative parts, and the rainfall and temperature trends over the past three decades in the study area. The primary data were collected through structured questionnaires. A simple random sampling technique was used to select 176 farmers in the study area. The data collected were analysed using tables and percentages. According to the trend formed, the temperature is increasing from year to year. It started from 260c average maximum temperature ends in average maximum temperature 270c. Extremely wet was observed in the years 1991 and 2020, and more of them are nearly neutral and moderately wet according to the SPI formed. Maximum temperature and sesame are perfectly positively correlated because the result shows a positive correlation. These mean that when temperature increases, sesame production increases in the normal condition. Also, minimum temperature and sesame are perfectly negatively correlated because the result shows a negative (-.561). This means that when the temperature decreases, sesame production decreases in this condition. Average temperature and sesame are perfectly positively correlated because the result shows a positive (.127). This means that when the temperature increases, sesame production increases in this condition. When the rainy season is prolonged at harvesting time, the shattering problem is the biggest loss of yield. To prevent this problem, late sowing is the best solution, along with preparing enough human labor. There were significant relationships between sesame yield, maximum temperature, minimum temperature, average temperature, rain fall, and the impact of climate variability. Other variables such as humidity, snowfall, fertiliser, and other nutrients in the soil need to be examined to maximise sesame production in the study area.