It was previously shown that spraying with CaCl, MgCl, KCl, and KSO and high N and Mg concentrations in the irrigation water of potted cucumber plants reduced powdery mildew, while medium P and high K concentrations increased powdery mildew. In the present work, we tested the effect of irrigation with N, P, K, Ca, and Mg and spraying with salts on downy mildew () of cucumber (CDM). In potted plants, an increase in N concentration in the irrigation water resulted in a major increase in CDM severity, while an increase in K or Ca concentrations resulted in a gradual increase in CDM severity. An increase in P and Mg concentrations in the irrigation water resulted in a major CDM decrease. Spraying with Ca, Mg, and K salts with Cl and SO anions resulted in CDM suppression in most cases, and a negative correlation was obtained between the salt and anion molar concentrations and the CDM severity. Using NaCl sprays, both Na and Cl concentrations were negatively related to the CDM severity. MgCl (0.1 M Cl), KSO (0.1 M SO), MgCl + KSO, and monopotassium phosphate (MKP, 1%) sprayed under commercial-like (CL) conditions significantly reduced CDM by 36.6% to 62.6% in one disease cycle, while, in a second cycle, CDM was significantly reduced only by KSO and MKP. In conclusion, fertigation with P and Mg, and salt spraying decreased CDM, while only spraying under CL resulted in CDM suppression.
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http://dx.doi.org/10.3390/plants11081007 | DOI Listing |
BMC Public Health
January 2025
School of Public Health, Shandong Second Medical University, No. 7166, Baotong West Street, Weifang, 261053, China.
Objective: Although meteorological factors are connected with severe fever with thrombocytopenia syndrome (SFTS) incidence, available findings have been inconsistent. This study was performed to systematically evaluate the correlation between meteorological factors and SFTS incidence.
Methods: We performed a thorough literature search in PubMed, Web of Science, Embase, Cochrane Library, and Chinese databases from databases initiatives to November 30, 2024.
Diagnostics (Basel)
January 2025
Department of Regulatory Science, College of Pharmacy, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
: Earlier detection of severe immune-related hematological adverse events (irHAEs) in cancer patients treated with a PD-1 or PD-L1 inhibitor is critical to improving treatment outcomes. The study aimed to develop a simple machine learning (ML) model for predicting irHAEs associated with PD-1/PD-L1 inhibitors. : We utilized the Observational Medical Outcomes Partnership-Common Data Model based on electronic medical records from a tertiary (KHMC) and a secondary (KHNMC) hospital in South Korea.
View Article and Find Full Text PDFPharmacoepidemiol Drug Saf
January 2025
School of Population Health, RCSI University of Medicine and Health Sciences, Dublin 2, Ireland.
Background: Drug-drug interactions (DDIs), highly prevalent amongst the elderly, can lead to avoidable medication-related harm. Cardiovascular and central nervous system (CNS) drugs are commonly implicated. To date, there is no consensus on how to measure DDIs, making comparisons across countries challenging.
View Article and Find Full Text PDFBMC Nephrol
January 2025
Bayer AG, Berlin, Germany.
Background: Chronic kidney disease (CKD) is a global health problem, affecting over 840 million individuals. CKD is linked to higher mortality and morbidity, partially mediated by higher cardiovascular risk and worsening kidney function. This study aimed to identify risk factors and develop risk prediction models for selected cardiorenal clinical outcomes in patients with non-diabetic CKD.
View Article and Find Full Text PDFDiabetes Ther
December 2024
Bayer AG, Berlin, Germany.
Introduction: The clinical landscape for the treatment of patients with chronic kidney disease (CKD) and type 2 diabetes (T2D) is rapidly evolving. As part of the FOUNTAIN platform (NCT05526157; EUPAS48148), we described and compared cohorts of adult patients with CKD and T2D initiating a sodium-glucose cotransporter 2 inhibitor (SGLT2i) before the launch of finerenone in Europe, Japan, and the United States (US).
Methods: This was a multinational, multi-cohort study of patients with T2D in five data sources: the Danish National Health Registers (DNHR) (Denmark), PHARMO Data Network (The Netherlands), Valencia Health System Integrated Database (VID) (Spain), Japan Chronic Kidney Disease Database Extension (J-CKD-DB-Ex) (Japan), and Optum's de-identified Clinformatics Data Mart Database (CDM) (US).
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