Due to climate change, intensification of cropping systems, and excessive water withdrawal from surface and groundwater sources, more than 171 million acres of irrigated agricultural lands worldwide are experiencing severe drought stress. This needs a reliable and cost-effective system, and flexible in nature irrigation system that draws relatively lower volumes of water be evaluated. To address the research question, an experiment was conducted on corn using a subsurface drip irrigation (SDI) system. The experimental design employed a split plot arrangement, consisting of a total of 96 treatments. The main plots were assigned to different irrigation strategies, including no irrigation, 36-inch dripline spacing, 72-inch dripline spacing, 36-inch dripline spacing with fertigation, 72-inch dripline spacing with fertigation, and 36-inch dripline spacing with soil matric potential sensors. Within each main plot, sub-plots were designated for three planting rates: 24,000, 30,000, 36,000, and 42,000 seeds per acre. These sub-plots were organized in blocks, measuring 8 rows wide and 57 feet long. The sub-sub plots, measuring 4 rows in width and 25 feet in length, received varying nitrogen (N) rates: 120, 180, 240, and 300 lb N per acre. The N was applied using different methods, including at planting, sidedress with N injection applicator, and fertigation through irrigation water at a rate of 10 lb N per week, followed by a single sidedress application at the V7 stage for fertigation treatments, while others received 40 lbs at planting and balance for respective rates applied at sidedness (V7). NDVI, soil and tissue monitoring were conducted during the season to asses plant health and efficiency of nutrients. Harvesting was performed on the center two rows of the four-row plots using a Zurn 150 small plot combine equipped with a Harvestmaster Classic Graingauge. Grain yields were reported at 15.5% moisture and a test weight of 25.4 kg/bu. The collected data was analyzed using a split-split plot design in R-studio version 3.4.3, and main effects and interactions analyzed using turkey hsd. Results were surprising as sensor based SDI at 300 pounds of N, and 30k plants per acre oubtyielded all other treatments. These results indicated the potential of advanced SDI system in sustainable yield increase in corn. For more information, Contact Tidewater Agricultural and Research Center for Virginia Tech, or write to me at Uniusa21@vt.edu

This is a dashboard on fewer metrics related to the Bellabeat fitness tracker data, from 33 monitored users during 31 days.

this is from my undergraduate project

06 Assignment

Sampling Methods overview

Un ingeniero de desarrollo desea determinar si variar el contenido de algodon en una fibra sintética influye en la resistencia a la tensión, y para ello ha realizado un experimento completamente aleatorizado con cinco niveles de porcentaje de algodón y cinco repeticiones. (Montgomery, 1991)

Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern.

UL 2023 First Entrance Exams & Aptitude Tests Exam Numbers and Room Numbers