This study empirically examines the impact of climate change on cereal production in selected lower-middle-income countries with a balanced panel dataset spanning the period 1971-2016. The study uses average annual temperature, average annual rainfall, and CO 2 emissions to measure climate change. Besides this, cultivated land under cereal production, and rural population are also used as the control variables. Second generation unit root tests, i.e., CIPS, and CADF, are used to test the stationarity of the variables.Feasible Generalized Least Square (FGLS) model is used to overcome the issues of cross-sectional dependence, serial correlation, and group-wise heteroscedasticity. The ndings show that a rise in the temperature reduces the cereal production in lower-middleincome countries. While other climate variables, i.e., rainfall and CO 2, affect cereal production positively. The sensitivity of long run elasticity has been checked with the help of Driscoll-Kraay standard regression. The adverse effects of temperature on cereal production are likely to pose severe implications for food security. In conclusion, the paper recommends that governments and cereal producers should carry out adaptation activities and programmes to cope with the negative effects of temperature on cereal production.
An Open Access International Peer Reviewed Quarterly High significant variations were observed for all the traits studied under present investigation. Considering parameters, high phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were observed for the number of effective tillers per plant, grain yield per plant, plant height followed by days to 50% flowering. Heritability in broad sense was higher in all of the characters studied under present investigation. High heritability coupled with high genetic advance as percent of mean was observed in plant height, days to 50% flowering, days to maturity, number of spikelets per panicle and number of grains per panicle, indicated that these characters under additive gene control and selection for improvement might be effective. Both at the phenotypic and genotypic level, grain yield per plant had significant and positive association with plant height, panicle length,number of filled grains per panicle and number of spikelets per panicle but had significant negative association with number of effective tillers per plant and 1000-grain weight. Number of spikelets per panicle had the maximum positive and direct effect followed by days to maturity, plant height, spikelet fertility and 1000-grain weight. Based on mean performance and various genetic parameters attributes, advance line namely, MC-34-1-10-6-1-26 was observed to be promising because it is of short duration, and yielded significantly higher than the short duration check RCM-8. Promising culture would be recommended for double cropping in the valley region of the state.
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