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Biochar is recognized as an efficient amendment and soil improver. However, environmental and quality assessments are needed to ensure the sustainability of its use in agriculture. This work considers the biochar's chemical-physical characterization and its potential phyto- and geno-toxicity, assessed with germination and Ames tests, obtaining valuable information for a safe field application. Three biochar types, obtained from gasification at different temperatures of green biomasses from the Tuscan-Emilian Apennines (in Italy), were compared through a broad chemical, physical and biological evaluation. The results obtained showed the relevance of temperature in determining the chemical and morphological properties of biochar, which was shown with several analytical techniques such as the elemental composition, water holding capacity, ash content, but also with FTIR and X-ray spectroscopies. These techniques showed the presence of different relevant surface aliphatic and aromatic groups. The procedures for evaluating the potential toxicity using seeds germination and Ames genotoxicity assay highlights that biochar does not cause detrimental effects when it enters in contact with soil, micro- and macro-organisms, and plants. The genotoxicity test provided a new highlight in evaluating biochar environmental safety.
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http://dx.doi.org/10.1016/j.scitotenv.2022.156265 | DOI Listing |
Plant Cell
July 2025
Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA.
Maize (Zea mays L.) is the world's most productive grain crop and a cornerstone of global food supply. However, in temperate agricultural systems, maize exhibits 2 key anomalies.
View Article and Find Full Text PDFBiology (Basel)
April 2025
Rice Breeding Platform, International Rice Research Institute, Los Baños 4031, Laguna, Philippines.
The direct-seeded rice (DSR) system is poised to become the dominant rice cultivation method due to its advantages, including reduced water usage, less labor requirements, decreased greenhouse gas emissions, and improved adaptation to climate change. However, weeds, particularly jungle rice (), significantly hinder DSR and cause substantial yield losses. This study aimed to develop rice cultivars competitive against jungle rice through selective breeding, focusing on early seed germination (ESG) and seedling vigor (ESV).
View Article and Find Full Text PDFEnviron Monit Assess
March 2025
Laboratório de Biotecnologia, Universidade Estadual de Goiás, Câmpus Central, Anápolis, Goiás, Brazil.
Monitoring the quality of water resources is essential to determine environmental impacts and seek sustainable management solutions. In this work, we demonstrated the toxicity of effluents and surface water of an important river in Central Brazil, the Meia Ponte River, using not just physicochemical parameters but also ecotoxicological bioindicators, such as Aliivibrio fischeri, Allium cepa, Lactuca sativa, and Salmonella typhimurium. To complement this data, we analyzed soil toxicity and quality along the river bank using A.
View Article and Find Full Text PDFTheor Appl Genet
February 2025
Sweet Corn and Potato Breeding and Genomics Lab, University of Florida, Gainesville, FL, 32611, USA.
Phenomic selection using intact seeds is a promising tool to improve gain and complement genomic selection in corn breeding. Models that combine genomic and phenomic data maximize the predictive ability. Phenomic selection (PS) is a cost-effective method proposed for predicting complex traits and enhancing genetic gain in breeding programs.
View Article and Find Full Text PDFBio Protoc
February 2025
Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, USA.
In applications such as marker-assisted breeding and positional cloning, tissue sampling and plant tracking are vital steps in the genotyping pipeline. They enable the identification of desirable seedlings, saving time and reducing the cost, space, and handling required for growing adult plants, especially for greenhouses and winter nurseries. Small-scale marker-assisted selection laboratories rely heavily on leaf-based genotyping, which involves over-planting large, segregating populations followed by leaf sampling, genotyping, and backtracking to identify desired individuals, which is costly and laborious.
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