Study of wheat (Triticum aestivum L.) seed rehydration observed by the Dent generalized model and 1H-NMR relaxometry

IF 2 4区 农林科学 Q2 AGRONOMY International Agrophysics Pub Date : 2024-05-16 DOI:10.31545/intagr/186805
M. Bacior, Hubert Harańczyk
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通过登特广义模型和 1H-NMR 弛豫测定法观察小麦(Triticum aestivum L.)种子再水化的研究
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来源期刊
International Agrophysics
International Agrophysics 农林科学-农艺学
CiteScore
3.60
自引率
9.10%
发文量
27
审稿时长
3 months
期刊介绍: The journal is focused on the soil-plant-atmosphere system. The journal publishes original research and review papers on any subject regarding soil, plant and atmosphere and the interface in between. Manuscripts on postharvest processing and quality of crops are also welcomed. Particularly the journal is focused on the following areas: implications of agricultural land use, soil management and climate change on production of biomass and renewable energy, soil structure, cycling of carbon, water, heat and nutrients, biota, greenhouse gases and environment, soil-plant-atmosphere continuum and ways of its regulation to increase efficiency of water, energy and chemicals in agriculture, postharvest management and processing of agricultural and horticultural products in relation to food quality and safety, mathematical modeling of physical processes affecting environment quality, plant production and postharvest processing, advances in sensors and communication devices to measure and collect information about physical conditions in agricultural and natural environments. Papers accepted in the International Agrophysics should reveal substantial novelty and include thoughtful physical, biological and chemical interpretation and accurate description of the methods used. All manuscripts are initially checked on topic suitability and linguistic quality.
期刊最新文献
Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran Evaluation of the changes in Bekker's parameters and their use in determining the rolling resistance Study of wheat (Triticum aestivum L.) seed rehydration observed by the Dent generalized model and 1H-NMR relaxometry Investigation of vegetation dynamics with a focus on agricultural land cover and its relation with meteorological parameters based on the remote sensing techniques: a case study of the Gavkhoni watershed Vis/NIR and FTIR spectroscopy supported by machine learning techniques to distinguish pure from impure Iranian rice varieties
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