Guía Breve para la Nomenclatura en Química Orgánica
Guía Breve para la Nomenclatura en Química Orgánica Read More »
On the cover: Using a drone to survey low input turfgrass species. Photo by Zenith Tandukar. Agricultural &Environmental Letters, Volume 9, Issue 2, December 2024. Read More
Abstract Nitrous oxide (N2O) is a significant greenhouse gas and the most important currently emitted ozone depleting substance, primarily via agricultural fertilization. Current N2O emission estimation methods at the national scale are predominantly via emission factors. Models estimating national-scale emissions are focused on growing season emissions. However, a substantial fraction of N2O can be emitted
Agricultural &Environmental Letters, Volume 9, Issue 2, December 2024.Agricultural &Environmental Letters, Volume 9, Issue 2, December 2024. Read More
Revisiting agricultural science and organic farming Read More »
Schematic of the studies key steps – we analyzed a diverse dataset of 1,399 soil samples from across the United States and compared three common water-stable aggregate methods to determine which method is the most appropriate reference method for use in soil health assessment frameworks such as the Soil Health Assessment Protocol and Evaluation (SHAPE)
Atalah J, Sánchez-Jerez P, Izquierdo D, Fernandez-Jover D, Arechavala-Lopez P, Valle C, Forcada A, Toledo-Guedes K – AEI Vol 16, pages 203-211Atalah J, Sánchez-Jerez P, Izquierdo D, Fernandez-Jover D, Arechavala-Lopez P, Valle C, Forcada A, Toledo-Guedes K – AEI Vol 16, pages 203-211 Read More
Fish dispersal from a sabotage-mediated massive escape event Read More »
Estimated linear response stochastic plateau functions for winter wheat yield in Experiment 502 at Lahoma, OK. Winter wheat yield plateaued at 52 kg N ha−1 in 1971 and 61 kg N ha−1 in 2023. Increase in yield is due to increased genetic potential leading to improved nitrogen use efficiency. Abstract This study seeks to explain how the
Trends in the yield response to nitrogen of winter wheat in Oklahoma Read More »
Here, five artificial Intelligence structures are shown that the authors wish to highlight. These largely constitute the basis of many other advanced artificial intelligence algorithms and are a good starting point to begin to understand how AI is applied in soil sciences. Abstract Recognizing the fast advancement of artificial intelligence (AI) in soil science, the
Artificial intelligence in soil science: Where do we go now? Read More »
Abstract Agricultural intensification and changing landscape structure led to decreasing numbers of arable flora and fauna during the last decades. To counteract these declines, arable plant diversity needs to be restored. It is important to promote regional plant communities including endangered species to ensure adaption to agricultural landscapes. Therefore, this study examines the development of