Genomic Offset Analyses: Mind Your Climate Variables
Global Change Biology Communications, Volume 1, Issue 2, June 2026.Recent methods based on genomic offset (GO) statistics aim to quantify the risk of non‐adaptation of populations to future climates. This study assesses how well genomic offset values correspond to population variation in fitness, depending on the methods and climate data used.
Thomas Kaczmarek +8 more
wiley +1 more source
The impact of climate change on pest damage to subsistence agriculture in the Pamir Mountains [PDF]
, 2015 Oudenhoven, F.J.W. van
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Solutions Network Formulation Report. Using NASA Sensors to Perform Crop Type Assessment for Monitoring Insect Resistance in Corn [PDF]
The EPA (U.S. Environmental Protection Agency) is tasked to monitor for insect pest resistance to transgenic crops. Several models have been developed to understand the resistance properties of insects.
Anderson, Daniel +3 more
core +1 more source
Legume Science, Volume 8, Issue 2, June 2026.ABSTRACT Mungbean is predominantly cultivated within a subtropical climate, and its potential for cultivation in temperate regions as a summer crop has not been comprehensively assessed. This research investigates the influence of temperature and seasonal variation with sowing time on mungbean phenology, growth and yield at five locations within the ...
Sachesh Silwal +5 more
wiley +1 more source
The Plant Genome, Volume 19, Issue 2, June 2026.Abstract Wheat (Triticum aestivum L.), a crucial cereal crop for global food security, faces growing challenges from climate change. Future production requires varieties that are resilient to environmental extremes and fluctuations. The goal of this study was to assess strategies to increase selection response through genomic selection in wheat by ...
Rishap Dhakal +9 more
wiley +1 more source
Crop yield literature review for AgRISTARS crops: Corn, soybeans, wheat, barley, sorghum, rice, cotton, and sunflowers [PDF]
There are no author-identified significant results in this ...
Doraiswamy, P. C. +2 more
core +1 more source
Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel +3 more
wiley +1 more source
Drosicha corpulenta (Hemiptera: Monophlebidae) in an Arid New City: Phenology, Host Suitability, and Spatial Distribution of Overwintering Eggs. [PDF]
InsectsAbdushalam A +6 more
europepmc +1 more source
GCB Bioenergy, Volume 18, Issue 6, June 2026.Camelina sativa, a low‐input oilseed for biofuel production, was evaluated under different sulfur fertilization strategies using recycled gypsum as a S‐source. Adding a moderate sulfur supply (40 kg ha−1) to regular nitrogen fertilization increased crop productivity and reduced environmental impacts, including emissions associated with iLUC, supporting
A. Rossi +8 more
wiley +1 more source
An individual-based modeling approach to assess trap cropping management of Helicoverpa zea in tomato field in Martinique [PDF]
, 2012 Grechi, Isabelle +4 more
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