Influence of Microclimate under different Land Configurations and Weed Management practices in Soybean

Abstract

The research experiment was conducted during the Kharif season of 2022-23 on the experimental farm of the Department of Agronomy, College of Agriculture, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani, to find out influence of microclimate under different land configurations and weed management practices on weed flora soybean. The experiment was laid out in split plot design with main plot treatments comprised of three land configurations (Two row broad bed furrow, four row broad bed furrow, flat bed) and four weed management practices (control, PE Sulfantranzone 28% + Clomazone 30% WP 350+375 g.a.i./ha (Authority) , PoE Fomesafen 12% + Quizalofop ethyl 3% w/w SC (Amora)@180+45 g. a i./ha, weed free having HW twice) as the sub plot treatmentsreplicated thrice.

The soil moisture content expressed in Percentage (%).

The moisture content expressed in percent was calculated as follows.

Weight of wet soil (g) – Weight of dry soil (g)

Soil moisture (%) = x 100

Weight of dry soil (g)

Canopy temperature of selected five plants from each net plot was recorded at each phenological stage (i.e. vegetative to maturity) in different treatments by using infrared thermometer. The observation was taken in between 1200 hrs to 1400 hrs.

Calculation of the Normalized Difference Vegetation Index (NDVI), which is available on the-fly, comes first. In addition, NDVI is often used around the world to monitor drought, forecast agricultural production, and assist in forecasting fire zones and desert offensive maps. Farming apps, like Crop Monitoring, integrate NDVI to facilitate crop scouting and give precision to fertilizer application and irrigation, among other field treatment activities, at specific growth stages.

NDVI is calculated in accordance with the formula:

NDVI = (NIR-RED / NIR+RED)

Where,

NIR – reflection in the near-infrared spectrum

RED – reflection in the red range of the spectrum