Evaluation of Weed Management Effects through Regression Analysis in Black Gram
Saketh Pallerla
*
Department of Agronomy, Agricultural College, Jagtial, India, Professor Jayashankar Telangana Agricultural University, India.
G Satyanarayana Reddy
Department of Agronomy, Agricultural College, Jagtial, India, Professor Jayashankar Telangana Agricultural University, India.
E. Rajanikanth
Agronomy, NARP, Regional Agricultural Research Station, Jagtial, India, Professor Jayashankar Telangana Agricultural University, India.
*Author to whom correspondence should be addressed.
Abstract
A field experiment was carried out at agricultural college, jagtial in rabi season using eight treatments with randomised block experimental design in which two pre-emergence herbicidal treatments and four post emergence treatments along with hand-weeding twice and followed by unweeded check were evaluated to determine the effective weed management practice among the different herbicidal combinations. Among all the treatments hand weeding treatment at 15 and 30 days after sowing (DAS) have made the lowest weed dry weight. Among the herbicidal treatments Fomesafen + Fluzifop-p-butyl 11.1%+11.1% SL (pre-mix) 220 g ha-1 PoE at 20 DAS has resulted with lowest weed dry weight. After the experimental analysis it was observed that effect of different weed control treatments has profound influence on crop dry weight in while there is an inverse relation between weed dry weight and seed yield whereas increasing relation between seed yield and crop dry weight. As analysis of relationship among the crop dry weight, weed dry weight and seed yield was made using regression analysis.
Keywords: Crop dry weight, herbicide, regression, weed dry weight