Effect of Plant Densities and Integrated Nutrient Management on Growth and Productivity of Sweet Corn (Zea mays L. Saccharata)
Journal: International Journal of Scientific Engineering and Research (IJSER) (Vol.6, No. 6)Publication Date: 2018-06-05
Authors : Jasvinder Kour; Neeraj Jain; Coguide Pankaj Singh; Himani;
Page : 54-56
Keywords : Plant densities; INM; Sweet corn; Green Cob;
Abstract
An investigation was carried out to examine the effect of plant densities and Integrated Nutrient Management (INM) on growth and productivity of sweet corn during Winter season of 2016-17. The treatment consisting of three plant densities levels viz., C1 - 60 cm x 20 cm (83, 333 Plants ha-1), C2 - 45 cm x 20 cm (1, 11, 111 Plants ha-1), C3 - 45 cm X 30 cm (74, 074 Plants ha-1) and seven levels of INM practices viz., T1-100% RDF (120N, 60 P2O, 60K2O)- Control, T2- 50% RDF NPK + Vermicompost, T3-75% RDF NPK + Vermicompost, T4- 50% RDF NPK +FYM, T5-75% RDF NPK + FYM, T6-50% RDF NPK + Azospirillum 5kg ha-1 and T7-75% RDF NPK + Azospirillum 7.5kg ha-1. The results indicated that plant densities of 45 cm x 30 cm exerted significantly higher growth and number of green cobs per hectare over rest of plant densities levels. Among the INM level 75% RDF+ Vermicompost recorded significantly higher growth and yield attributes, that resulted into higher number of green cobs per hectare.
Other Latest Articles
- Burkholderia cepacia MSA47, A New Strain Isolated from the Rhizosphere of an Egyptian Salt Marsh Plant, Produced Potent Biosurfactant Applied for the Bioremediation of Oil Sludge-Polluted Soil
- Nanotechnology in Agriculture
- Drug Adherence and Status of Blood Pressure Control among Hypertensive Patients
- Effects of Green Tea in Oral Bacteria
- A Novel Energy-Efficient Clustering Algorithm (NEEC) for Wireless Sensor Networks
Last modified: 2021-07-08 16:23:29