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Improvement in growth parameters and essential oil content and characteristics of populations derived from intraspecific crosses ofMentha spicataandM. longifolia
Improvement in growth parameters and essential oil content and characteristics of populations derived from intraspecific crosses ofMentha spicataandM. longifolia
Biological weathering of phlogopite during enriched vermicomposting
The in-vitro biological properties of 3D printed poly lactic acid/akermanite composite porous scaffold for bone tissue engineering
A comprehensive study on Plantago ovata / PVA biocompatible nanofibers: Fabrication, characterization, and biological assessment
A comprehensive study on Plantago ovata / PVA biocompatible nanofibers: Fabrication, characterization, and biological assessment
A comprehensive study on Plantago ovata / PVA biocompatible nanofibers: Fabrication, characterization, and biological assessment
Combined photocatalytic-adsorptive removal of water contaminants using a biologically prepared CdS-diatomite nanocomposite
Combined photocatalytic-adsorptive removal of water contaminants using a biologically prepared CdS-diatomite nanocomposite
Modelling the biological invasion of Prosopis juliflora using geostatistical-based bioclimatic variables under climate change in arid zones of southwestern Iran
Influence of reducing starch in the dietswith similar protein and energy contents on lactation performance, ruminal fermentation, digestibility, behaviour and blood metabolites in primiparous andmultiparous dairy cows
Influence of reducing starch in the dietswith similar protein and energy contents on lactation performance, ruminal fermentation, digestibility, behaviour and blood metabolites in primiparous andmultiparous dairy cows
Inbred progeny of tall fescue infected withEpichlo¨ efungal endophyte have a high defence compound content and no depression in seed set
Inbred progeny of tall fescue infected withEpichlo¨ efungal endophyte have a high defence compound content and no depression in seed set
Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran