Legume Research
Chief EditorJ. S. Sandhu
Print ISSN 0250-5371
Online ISSN 0976-0571
NAAS Rating 6.80
SJR 0.391
Impact Factor 0.8 (2024)
Chief EditorJ. S. Sandhu
Print ISSN 0250-5371
Online ISSN 0976-0571
NAAS Rating 6.80
SJR 0.391
Impact Factor 0.8 (2024)
Residual Effects of Microbial Treated Paddy Residues Applied to Zero Till Maize on Growth and Yield of Summer Greengram
Submitted10-08-2023|
Accepted02-01-2024|
First Online 14-03-2024|
doi 10.18805/LR-5230
Background: Farmers’ conventional tillage and residue removal practices in rice-maize-greengram systems in India are input-intensive, costly and soil degradative. A number of soil quality issues have emerged due to continuous cropping and burning of residues threatening the sustainability of rice based cropping systems for the last more than four decades. Nevertheless, the in-situ or in-field decomposition of crop residue using microbial inoculum is rarely studied. This necessitated the use of microbial consortia developed by a combination of potent strains of fungi which can perform harmoniously for rapid decomposition of crop residues.
Methods: A field experiment was conducted during 2020-21 and 2021-22 with eight residue-management treatments and three fertility levels to zero till maize at college farm, Rajendranagar, PJTSAU using strip plot design and the residual effect on the succeeding greengram was studied.
Result: Greengram growth and yield were significantly higher under residual effect of incorporation of residues treated with microbial consortia consisting of Trichoderma viridae, Aspergillus awamori and Phanerocheate spp. along with 300:100:100 kg ha-1 of N, P2O5 and K2O (125% RDF) and P supplied in the form of single super phosphate (SSP) under zero tillage during summer, 2021 and 2022. Growth parameters like plant height, leaf area index, dry matter production and yield attributes like number of pods plant-1, pod length and number of seeds pod-1 in greengram were higher under residue incorporated plots compared to residue burning, removal and retention plots with 125% RDF.
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