USDA released its baseline projections for 2018-2027 last week on the same day that the U.S. Energy Information Administration (EIA) issued its Annual Energy Outlook (AEO). While the USDA baseline projects long-term commodity trends with no domestic or external shocks and a normal weather pattern, the AEO is a modeling of energy markets under various scenarios from high growth to low growth through 2050. However, the AEO does have the average most-likely scenario known as the reference case, which can be compared with USDA’s 10-year baseline. The USDA baseline forecasts corn use for domestic ethanol during the crop year, while AEO forecasts domestic ethanol production in terms of million barrels per day during a calendar year. WPI ha...
The magpie goose (Anseranas semipalmata) is the sole living representative species of the family Anseranatidae. This waterbird is found in northern Australia and southern New Guinea.[2] The species is not truly migratory but it sometimes travels large distances to find food and water, especiall...
A pika (/ˈpaɪkə, ˈpiːkə/ PY-kə, PEE-kə[3][4]) is a small, mountain-dwelling mammal native to Asia and North America. With short limbs, a very round body, an even coat of fur, and no external tail, they resemble their close relative the rabbit, but with short, rounded ears.[5] The large-eared pi...
Lobelia (/loʊˈbiːliə, lə-/[4][5][6]) is a genus of flowering plants in the family Campanulaceae comprising 415 species,[7] with a subcosmopolitan distribution primarily in tropical to warm temperate regions of the world, a few species extending into cooler temperate regions.[8] They are known g...
The hoary marmot (Marmota caligata) is a species of marmot that inhabits the mountains of northwest North America. Hoary marmots live near the tree line on slopes with grasses and forbs to eat and rocky areas for cover. It is the largest North American ground squirrel and is often nicknamed "th...
From WPI Consulting
Forecasting developments in production agriculture
On behalf of a private U.S. agricultural technology provider, WPI’s team generated an econometric model to forecast the movement of concentrated corn production north and west from the traditional U.S. Corn Belt. WPI’s model has subsequently provided quantitative support to a multi-million-dollar investment into short-season corn variety development. WPI’s methodology included a series of interviews with regional grain elevators and seed consultants. Emphasizing outreach and communication with stakeholders who possess intimate sectoral knowledge – on-the-ground insights – is a regular component of WPI’s methodologies, made possible by WPI’s ever-growing network of industry contacts.