Correlation and Regression Analysis of Crop Growth and Yield Attributing Characters of Soybean [Glycine max (L.) Merrill] on Weed Interference

Abstract

Background: A significant source of leguminous oilseeds in the nation, soybean [Glycine max (L.) Merrill] provides more than 30% of the nation’s vegetable oil supply and more than 50% of oilseeds. Through biological nitrogen fixation, soybean crop has the unique ability to increase soil fertility in a cropping system. Tropical and subtropical climates are ideal for the crop growth. Methods: The experiments were carried out in Randomized Block Design (RBD), with eleven treatments of with and without combinations of Diclosulam 0.9% + Pendimethalin PPI herbicides at different doses and it’s compared with hand weeding and weedy check treatments. The treatments was replicated three time. Result: As a results, Phyllanthus urinaria, Cyperus iria and Mollugo pentaphylla showed the strongest positive association with the dry weight of the weeds, according to the correlation analysis, on the other hand, Echinochloa colona exhibited the lowest association coefficient with dry weight of weeds. Regression analysis showed that when one Phyllanthus urinaria was added, the yield decreased to a certain degree. Seeds pod-1 exhibited the largest positive association among the different yield attributing parameters, followed by pods plant-1, plant population, Leaf area index, nodules plant-1, branches plant-1 and plant height, according to the various crop growth and yield attributing parameters with grain production.

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