The vast areas of the riverine formed land (locally known as char) are often subjected to forceful flood and erosion making traditional cultivation difficult. The farmers of the char people are thus poor and malnourished. The aim of this study was to identify the socio-economic impacts that influence farmers’ decision to adopt QPMin the riverine chars of Brahmaputra and Jamuna basins of Bangladesh by using the farm household survey data collected from 60 maize farmers during 2013-14. This paper presents the results of an empirical application of maximum likelihood estimate of Binary Logistic Model. The results indicated that the mean probability of i) QPM adoption varied based on: years of agricultural experience (X2) (P<0.036), years of schooling (X3) (p<0.089), contact with extension personnel (X6) (p<0.035) and training (X7) (P<0.078)while ii) theorganic mulch adoption varied due to thefarmers age (X1) (P<0.055), years of agricultural experience (X2) (P<0.029),farm size(X5) (P<0.047) and contact with extension personnel (X6) (p<0.056). However, age, household size, farm size for QPM adoption and years of schooling, household size and training on QPM for mulch adoption had no significant influence. The farmers of the study area identified inadequate fund, seed quality with price and fertilizer cost as the main constraints for the production of QPM.