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Meteorological drought is the primary cause of agricultural drought. Studying how agricultural drought responds to meteorological drought is crucial for understanding drought evolution. This paper takes the inland river basin of the Inner Mongolia Plateau as the research object, characterizes meteorological drought and agricultural drought respectively by the standardized precipitation evapotranspiration Index (SPEI) and the standardized Soil Water Index (SSMI), analyzes the spatio-temporal continuous dynamic evolution characteristics of drought in the study area from 1961 to 2021, explores the spatio-temporal response characteristics of meteorological and agricultural drought, and establishes a drought characteristic response model. The results show that: (1) The three dimensional (3D) identification method can accurately and comprehensively understand the dynamic evolution process of drought events and regional drought development law; (2) A total of 28 drought event pairs were successfully matched from 1961 to 2021, and the matching results can ensure that the complex relationship between the two types of droughts on the temporal and spatial scale is closer to reality; (3) The optimal response models for duration, area and severity of drought in the study area are Gaussian Copula function, Clayton Copula function and Clayton Copula function, respectively. This study provides a new method for accurately assessing the spatio-temporal variation and response of drought.
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http://dx.doi.org/10.1038/s41598-025-14236-0 | DOI Listing |
Biotechnol J
September 2025
Department of Molecular Biosciences and Bioengineering, University of Hawai'i at Mānoa, Honolulu, Hawai'i, USA.
CRISPR technologies are rapidly transforming agriculture by enabling precise and programmable modifications across a wide range of organisms. This review provides an overview of CRISPR applications in crops, livestock, aquaculture, and microbial systems, highlighting key advances in sustainable agriculture. In crops, CRISPR has accelerated the improvement of traits such as drought tolerance, nutrient efficiency, and pathogen resistance.
View Article and Find Full Text PDFEnviron Technol
September 2025
College of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu, People's Republic of China.
The soil in reclaimed shale gas sites is compacted and suffers from issues like poor drainage, drought conditions, and nutrient deficiency, posing challenges for agricultural production. In this study, rare earth tailings were incorporated into biochar at different mass ratios (rare earth tailings: biochar = 1:1, 1:2, 1:3, 1:4). Subsequently, a series of rare earth tailings-doped biochar materials (REE-BC) were prepared by calcination at 700°C.
View Article and Find Full Text PDFNaturwissenschaften
September 2025
Colorado Water Center, Colorado State University, Fort Collins, CO, 80523, USA.
Drought stress is the most vulnerable abiotic factor affecting plant growth and yield. The use of silicic acid as seed priming treatment is emerging as an effective approach to regulate maize plants susceptibility to water stress. The study was formulated for investigating the effect of silicic acid seed priming treatment in modulating the oxidative defense and key physio-biochemical attributes of maize plants under drought stress conditions.
View Article and Find Full Text PDFGlob Chang Biol
September 2025
Chair of Silviculture, Faculty of Environment and Natural Resources, Institute of Forest Sciences, University of Freiburg, Freiburg, Germany.
Mixed-species forests are proposed to enhance tree resistance and resilience to drought. However, growing evidence shows that tree species richness does not consistently improve tree growth responses to drought. The underlying mechanisms remain uncertain, especially under unprecedented multiyear droughts.
View Article and Find Full Text PDFFront Genet
August 2025
Center for Applied Genetic Technologies, University of Georgia, Athens, GA, United States.
This study introduces a Drought Adaptation Index (DAI), derived from Best Linear Unbiased Prediction (BLUP), as a method to assess drought resilience in switchgrass ( L.). A panel of 404 genotypes was evaluated under drought-stressed (CV) and well-watered (UC) conditions over four consecutive years (2019-2022).
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