Green House Investigation And Modelling Effects of Extreme Temperature And Moisture Strenght on Growth, Development And Yield on Soya Bean

ABSTRACT

Climate change is a major stressor that would adversely affect tropical agriculture, which is largely rainfed. Available evidence shows that associated with climate change is an increasing trend in temperature and in some locations, decline in rainfall leading to repeated droughts during the growing season. In this study, the effects of increased temperature and drought on soybean, a C3 plant, was investigated under greenhouse conditions. An understanding of how soybean would respond to climate change effect is a major key to improving food security for the global population and continues to be of research interest. This research was conducted in a greenhouse in the year 2018 with the purpose of determining the effect of climate variables such as temperature, relative humidity (RH), vapour pressure deficit (VPD) and soil water (W) on the phenology, biomass and grain yield of the plant. The research also aimed at developing and testing a simple temperature and water stress model for simulating the effect of these climate variables on the growth and yield of soybean. The experiment was set in a Split Plot Design with three average environmental conditions as main plots: E1 (36 oC, RH = 55 %), E2 (34 oC, RH = 57 % ) and E3 (33 oC, RH = 44 %) resulting in VPD values of 2.7, 2.5 and 3.0 kPa for E1, E2 and E3, respectively. Additionally, there were three water treatments: W1 (near saturation), W2 (Field capacity) and W3 (Drought) and two soybean varieties (Afayak and Jenguma) were used in the study. These treatments were replicated nine times. The results showed that high temperature environment (E1) accelerated soybean development particularly towards flowering. The days from emergence to flowering were 37, 38 and 40 for Afayak (V1) for environments E1, E2, and E3, respectively. In xiv the case of Jenguma (V2), the days from emergence to flowering were 39, 40 and 41 for E1, E2 and E3, respectively. The cumulative evapotranspiration (ET) were 224, 208 and 185 mm for the environments E1, E2 and E3, respectively. Biomass and yield were drastically reduced under the combined effect of high temperature (E1) and drought (W3) compared to combined ambient temperature (E3) and well-watered condition (W1). The water treatment W3 (drought) had the lowest mean pod weights of 1.29, 1.54 and 3.35 g/plant for E1, E2 and E3 respectively, while W1 (near saturation) had the highest mean pod weight. The interactive effect of environment and drought treatment (W3) was most severe under E1 and E2 giving relatively lower grain yield of 0.45 and 0.53 g/plant compared to the ambient environment E3 which had mean weight of 1.54 g/plant. The varieties differed statistically in their responses to drought in both E1 and E2 environments with Jenguma significantly having higher yields than Afayak. The model developed performed quite well, correctly predicting the time-course of the total dry weight (TDW) of both soybean varieties under the range of temperature and soil water conditions. The final seed weights were also well predicted. In general, the agreement between the predicted and observed TDW was good, with R2= 0.74 and Willmott d -index =0.9. It was concluded that increasing environmental stresses associated with climate change would adversely affect the productivity of soybean in general, but some varieties may be more resilient. Breeding efforts should be directed to improving not only drought but also temperature tolerance