Vol. 7, Issue 5 (2019)
Performance of integrated fertilizer prescriptions for garlic (Allium sativum L.) through targeted yield model in Mollisols of Tarai regions of Uttarakhand
Author(s): Anil Kumar Saxena, Suneeta Singh and Sobaran Singh
Abstract: The response of garlic (Allium sativum L.) to the selected combinations of 4 levels of each fertilizer N, P and K and 3 levels of FYM with simultaneous variations in initially available soil forms of these nutrients were studied under technical programme of AICRP on Soil Test Crop Response (STCR) calibration in an Aquic Hapludoll of Crop Research Centre of GBPUA&T, Pantnagar, Uttarakhand. In a preparatory trial i.e. first phase during kharif season, the whole plot was divided into 3 equal strips and fertility gradients were created artificially and in the second phase every strip was further sub-divided into 24 equal plots of 2m x 2m having 21 treated and 3 control plots in the main experiment in Rabi season with garlic as test crop. The response of garlic var. ‘Pant Lohit’ under selected treatment combinations 4 levels for each N (0, 75, 100 and 125 kg/ha), P (0, 25, 50 and 75 kg/ha), K (0, 25, 50 and 75 kg/ha) and 3 levels of FYM (0, 10 and 20 t/ha) was studied. Results showed that the bulb and leaves yield with plant and soil analysis data were utilized to formulate equations each for chemical alone and integrated mode of fertilizer prescription connecting the fertilizer doses with varying yield targets at different fertility levels. The validity of these equations has been tested in the verification trial. Targeted and actual yields have been shown within ± 4.17% and target yield gave higher yield, net benefit and B/C ratio with or without FYM over farmer’s practice.
Pages: 992-995 | 309 Views 49 Downloads
download (6482KB)
How to cite this article:
Anil Kumar Saxena, Suneeta Singh, Sobaran Singh. Performance of integrated fertilizer prescriptions for garlic (Allium sativum L.) through targeted yield model in Mollisols of Tarai regions of Uttarakhand. Int J Chem Stud 2019;7(5):992-995.
