Pressures of population growth and climate change require the development of resilient higher yielding crops, particularly to drought. A spring wheat diversity panel was developed to combine high-yield potential with resilience. To assess performance under drought, which in many environments is intermittent and dependent on plant development, 150 lines were grown with drought imposed for 10 days either at jointing or at anthesis stages in Obregon, Mexico. Both drought treatments strongly reduced grain numbers compared with the fully irrigated check. Best performers under drought at jointing had more grain than poor performers, while best performers under drought at anthesis had larger grain than poor performers. Most high-yielding lines were high yielding in one drought environment only. However, some of the best-performing lines displayed yield potential and resilience across two environments (28 lines), particularly for yield under well-watered and drought at jointing, where yield was most related to grain numbers. Strikingly, only three lines were high yielding across all three environments, and interestingly, these lines had high grain numbers. Among parameters measured in leaves and grain, leaf relative water content did not correlate with yield, and proline was negatively correlated with yield; there were small but significant relationships between leaf sugars and yield. This study provides a valuable resource for further crosses and for elucidating genes and mechanisms that may contribute to grain number and grain filling conservation to combine yield potential and drought resilience.
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http://dx.doi.org/10.1002/fes3.241 | DOI Listing |
JCO Clin Cancer Inform
January 2025
SimBioSys Inc, Chicago, IL.
Purpose: Perfusion modeling presents significant opportunities for imaging biomarker development in breast cancer but has historically been held back by the need for data beyond the clinical standard of care (SoC) and uncertainty in the interpretability of results. We aimed to design a perfusion model applicable to breast cancer SoC dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) series with results stable to low temporal resolution imaging, comparable with published results using full-resolution DCE-MRI, and correlative with orthogonal imaging modalities indicative of biophysical markers.
Methods: Subsampled high-temporal-resolution DCE-MRI series were run through our perfusion model and resulting fits were compared for consistency.
J Public Health Manag Pract
November 2024
Author Affiliations: Department of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts (Drs White and Elliott, Ms Cunnington, and Dr Greece); Department of Medicine, Section of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts (Dr Drainoni); Evans Center for Implementation and Improvement Sciences, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts (Dr Drainoni); Department of Health, Law, Policy and Management, Boston University School of Public Health, Boston, Massachusetts (Dr Drainoni); and Winthrop Department of Public Health & Clinical Services, Winthrop, Massachusetts (Ms Hurley).
Objective: A pipeline is required to build a qualified and diverse public health workforce. Work-education programs offer public health students experiential learning, training, and a pathway to public health professions. However, there is a gap in the literature to guide public health practice on the types of programs, their components, and their potential impact.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Lehrstuhl für Theoretische Chemie II, Ruhr-Universität Bochum, Bochum 44780, Germany.
Training accurate machine learning potentials requires electronic structure data comprehensively covering the configurational space of the system of interest. As the construction of this data is computationally demanding, many schemes for identifying the most important structures have been proposed. Here, we compare the performance of high-dimensional neural network potentials (HDNNPs) for quantum liquid water at ambient conditions trained to data sets constructed using random sampling as well as various flavors of active learning based on query by committee.
View Article and Find Full Text PDFPlant Foods Hum Nutr
January 2025
Departamento de Farmácia, Programa de Pós-Graduação em Ciências Farmacêuticas, Laboratório de Biotecnologia de Produtos Naturais e Sintéticos (LABIPROS), Universidade Estadual de Maringá, Av. Colombo 5790, Maringá, Paraná, 87020-900, Brazil.
Stevia rebaudiana is a plant native to South America known for producing steviol glycosides and fructans used in low-calorie and functional foods. This study aimed to cultivate and isolate inulin from hydroponically grown S. rebaudiana roots.
View Article and Find Full Text PDFClin Exp Rheumatol
January 2025
Department of Organ Transplantation, and Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Objectives: The progressive decline in interstitial lung disease associated with non-scleroderma connective tissue disease (ILD-NSCTD) is linked to poor prognosis and frequently results in respiratory failure. Lung transplantation (LTx) offers a viable treatment option, yet its outcomes in ILD-NSCTD remain contentious, particularly across different subtypes.
Methods: This retrospective cohort study included patients with idiopathic pulmonary fibrosis (IPF) (n=11,610) and ILD-NSCTD (n=610) listed in the United Network for Organ Sharing (UNOS) database who underwent lung transplantation between May 5, 2005, and December 31, 2022.
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