Effects of Temperature Variation on Plant Growth in East African Countries

Abstract

Purpose: The aim of this study was to explore the effects of temperature variation on plant growth in East African countries.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings revealed that there exists a contextual and methodological gap relating to the effects of temperature variation on plant growth in east African countries. Preliminary empirical review revealed that temperature variation influences plant nutrient uptake, nutrient assimilation and utilization by plants, impacting their growth and nutritional status. The findings emphasize the need to consider temperature effects on plant nutrient dynamics in agriculture and ecosystem management. The effects of temperature on plant growth were found in most of the studies reviewed.
 Unique Contribution to Theory, Practice and Policy: The Optimal Temperature Theory, Temperature Stress Theory (Acclimation and Heat Shock Proteins), Photoperiodism and Vernalization Theory may be used to anchor future studies on the Effects of Temperature Variation on Plant Growth in East African Countries. Studying the molecular mechanisms underlying plant responses to temperature variation is essential. Uncovering the genetic and molecular pathways involved in temperature stress responses will enable the development of crops with enhanced temperature tolerance and resilience. Additionally, the development of robust predictive models that integrate climate data, physiological processes, and crop responses is crucial. These models will assist in assessing the potential impacts of future temperature scenarios on plant growth and enable the implementation of adaptive measures in agriculture.