Plant Water Potential Improves Prediction of Empirical Stomatal Models

PLoS ONE - United States
doi 10.1371/journal.pone.0185481
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Dietary Information Improves Cardiovascular Disease Risk Prediction Models

European Journal of Clinical Nutrition
MedicineNutritionDietetics
2012English

Ensemble Learning of QTL Models Improves Prediction of Complex Traits

G3: Genes, Genomes, Genetics
MedicineGeneticsMolecular Biology
2015English

Stomatal Diffusion Resistance of Snap Beans. I. Influence of Leaf-Water Potential

Plant Physiology
Plant ScienceGeneticsPhysiology
1969English

An Empirical Study on Sea Water Quality Prediction

Knowledge-Based Systems
SoftwareInformation SystemsManagementArtificial IntelligenceManagement Information Systems
2008English

Empirical Best Prediction Under Unit-Level Logit Mixed Models

Journal of Official Statistics
2016English

Chlorella Triggers Stomatal Closure Mediated by NADPH Oxidase and Improves Instantaneous Water Use Efficiency inVicia Faba

Plant Signaling & Behavior
2014English

A Theoretical and Empirical Assessment of Stomatal Optimization Modeling

New Phytologist
Plant SciencePhysiology
2020English

Effect of Different Soil Water Potential on Leaf Transpiration and on Stomatal Conductance in Poinsettia

Acta Agrobotanica
EvolutionEcologyCrop ScienceSystematicsPlant ScienceBehaviorAgronomy
2013English

Addition of Clinical Measures Improves Risk-Prediction Models of 30 Day Post-TJR Readmission

Osteoarthritis and Cartilage
Sports MedicineRheumatologyOrthopedicsBiomedical Engineering
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy