Science briefs

Wheat grown in indoor controlled environment chambers at 16˚ C (optimum) and 32˚ C (high) average temperatures. Image by Kirsten Paff and Julie Wolf.

Crop simulation is an important tool for predicting and mitigating agricultural risks

May 15, 2025

Soybean field plots at the Davis Purdue Ag Center in Farmland, IN, where gypsum and cover crops were implemented. Photo by Brenda Hofmann, USDA-ARS National Soil Erosion Research Laboratory.

Gypsum is a reliable source of sulfur for soybean production

May 15, 2025

Map of saturated hydraulic conductivity at a 5-cm depth for the contiguous United States. This map shows large-scale variation with high conductivities on coarse materials (orange-red, such as Florida, mountains, glacial sediments) and low conductivities on the fine sediments in the U.S. interior (blue). Actual map holds 49,810 × 31,390 pixels (West–East × North–South) at 100-m resolution. Image by Marcel G. Schapp, Yonggen Zhang, and Craig Rasmussen.

Soil hydraulic property mapping with AI and high-performance computing

April 16, 2025

Soybean growth, development, and subsequent yield can be impacted by soil quality. This photo highlights the fragile period after germination to help illustrate this relationship. Photo by Lindsay Chamberlain Malone.

Soybean yield is positively linked to organic matter, but planting date remains more influential

April 16, 2025

Panicles from field-grown rice germplasm CS272, one of the three lines developed in this study, in Arkansas. Photo by Heather Box.

Three new and improved long-grain rice germplasm lines

April 16, 2025

A drainage ditch leading from an industrial hog farm in southeastern North Carolina. Photo by Adam Chaffin.

Industrial animal agriculture causes widespread nutrient pollution in North Carolina

April 15, 2025

Site-specific management zones of actual evapotranspiration and turfgrass quality at Eagle Lake Golf Course in Roy, UT and histograms of the four natural break classes (1-4) of estimated TQ. Blue lines identify the fairway, greens, and tee boundaries and red dots identify sprinkler heads. Image by Karem Meza.

Site-specific irrigation and turfgrass quality using UAS imagery

April 15, 2025

Monthly trends in grazing land condition ratings (measured as the CCIndex) over the 1995–2022 period. Browns represent declining grazing land conditions while greens represent improving conditions. Hatching is statistical significance at the 95% confidence level. Image adapted from Bundy et al. (2025).

Grazing land degradation on the rise

April 15, 2025

Image of web interface looking at Global Historical Climatology Network daily (GHCNd) data with example downloading a small region of data in southeast Minnesota. In the map, a user can define a bounding box (blue-square). Then in the application programming interface (API) call, the user can define the climate variable, the dates for which the data should be gathered and the type of aggregation that is requested. Image from Gall et al. (2024).

New tool simplifies collection, integration, and querying of agrometeorological data

April 2, 2025

Workflow of physics-informed neural networks (PINNs), proposed in a new article published in Vadose Zone Journal. The PINNs consist of two fully connected feedforward neural networks. Image by Koki Oikawa/Tokyo University of Agriculture and Technology.

Using machine learning to estimate soil hydraulic parameters of layered profiles

February 26, 2025

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