Bayesian Non-Parametric Thermal Thresholds for Helicoverpa armigera and Their Integration into a Digital Plant Protection System

Agronomy, Journal Year: 2022, Volume and Issue: 12(10), P. 2474 - 2474

Published: Oct. 11, 2022

The development of temperature-driven pest risk thresholds is a prerequisite for the buildup and implementation smart plant protection solutions. However, challenge to convert short abrupt phenology data with limited distributional information into ecological relevant information. In this work, we present novel approach analyze based on non-parametric Bayesian methods develop degree-day (DD) Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae) be used in decision support system dry bean (Phaseolus vulgaris L.) production. replication each bootstrap generates posterior probability sampling set by considering that prior unknown distribution Dirichlet distribution. We computed R = 10,000 replicates, estimate 2.5%, 50% 95.5% percentiles (PC) flight generation peak terms heat summations. related DD were: 114.04 (PC 2.5%) 131.8 50%) 150.9 95.5%) first, 525.8 2.5%), 551.7 577.6 second 992.7 1021.5 1050 third flight, respectively. were evaluated estimating differences between predicted (2021) observed (2022) metrics are most cases acceptable levels. bootstrapped have advantage modeling noisy sets providing tailored forecast without any parametric assumptions. step above integrated sub-module digital weather-driven real time precise management crops. consists customized cloud telemetric meteorological network, established over border area Prespa National Park Northern Greece, delivers specific end user.

Language: Английский

Non-Targeted Metabolomic Analysis of Arabidopsis thaliana (L.) Heynh: Metabolic Adaptive Responses to Stress Caused by N Starvation

Metabolites, Journal Year: 2023, Volume and Issue: 13(9), P. 1021 - 1021

Published: Sept. 18, 2023

As sessile organisms, plants develop the ability to respond and survive in changing environments. Such adaptive responses maximize phenotypic metabolic fitness, allowing adjust their growth development. In this study, we analyzed plasticity of Arabidopsis thaliana response nitrate deprivation by untargeted metabolomic analysis using wild-type (WT) genotypes loss-of-function nia1/nia2 double mutant. Secondary metabolites were identified seedlings grown on a hydroponic system supplemented with optimal or limiting concentrations N (4 0.2 mM, respectively) harvested at 15 30 days age. Then, spectral libraries generated from shoots roots both ionization modes (ESI +/-) compared. Totals 3407 4521 signals (m/z_rt) obtained ESI+ ESI- modes, respectively. Of these, approximately 50 65% as differentially synthetized/accumulated. This led presumptive identification 735 KEGG codes (metabolites) belonging 79 pathways. The WT 4 mM favor synthesis/accumulation strongly related growth. contrast, for mutant (similar genotype N), synthetized/accumulated help cope stress, regulating oxidative stress preventing programmed cell death, meaning that under starvation compromise prioritize defensive response.

Language: Английский