PJB-2022-30
CORRELATION COEFFICIENT ANALYSIS AMONG MORPHOLOGICAL CHARACTERS UNDER NORMAL AND TEMPERATURE STRESS IN SOYBEAN (Glycine max L.)
Warda Mustafa
Abstract
World is facing severe climate change today, mainly due to global warming which is continuous rise in earth’s temperature. Its most striking effect is being felt on agriculture especially in the yield and quality of crop that is ultimately a threat to food security of ever-growing population. Like many other crops, soybean, being a climate sensitive crop, is greatly affected by rising temperature. So, it is the dire need of the hour to develop climate ready genotype of soybean. That is why, research was conducted to check the effect of high temperature on soybean genotypes and to determine correlation among morphological traits. Germplasm was collected and two experiments were conducted in laboratory and in wire house of Department of Plant Breeding and Genetics, University of Agriculture Faisalabad in 2019-2020. Split plot arrangement was made with completely randomized design and randomized complete block design for lab and field experiments, respectively. Three temperature treatments namely To =30ºC (Control), T1 =35ºC and T3 =40ºC were replicated thrice. Data of different morphological traits were recorded and subjected to ANOVA and correlation coefficient analysis. Results of ANOVA for varieties and their interaction with high temperature were significant for most of the traits. Correlation coefficient analysis explained that the No. of leaves/plant, pods/plant, days to 50% flowering and pod setting had positive association with high temperature. On the other hand, seeds/pod and 100-seed weight had negative correlation with rise of temperature. Number of leaves and seeds/pod had positive and significant correlation with 100-seed weight which means that increase in these traits would benefit in terms of yield. So, the plant with higher No. leaves and seeds/pod would be a good criterion for the selection of the high yielding and climate ready genotype that would benefit in future against elevated temperature. Keywords: Climate change, Correlation, Morphological traits, Temperature, Soybean (Glycine max L.)
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