Fluorescence phenotyping in blueberry breeding for genotype selection under drought conditions, with or without heat stress

Pre-harvest regulated deficit irrigation management effects on post-harvest quality and condition of V. corymbosum fruits cv. Brigitta

“…38 • 40 N). Stem water potential measurements done during the blueberry growth and development period showed values > −0.89 MPa for the 100% ETa treatment, corroborating that those plants were not under water deficit conditions according to Estrada et al (2015).…”

Spectral Reflectance Modeling by Wavelength Selection: Studying the Scope for Blueberry Physiological Breeding under Contrasting Water Supply and Heat Conditions

“…Low values of Chl a/b in leaves under drought conditions are caused by higher Chl a degradation rates compared to Chl b due to the conversion of Chl a to Chl b by the oxidation of the methyl group on ring II to an aldehyde group [60,61]. In this sense, using the same individuals assessed in the current study, [47] proved that Chl a/b was relevant in identifying blueberry genotypes subjected to heat stress.…”

“…The equipment was configured to deliver 20 pulses of actinic light at different levels of photosynthetically active radiation (PAR), between 0 and 2700 µmol m −2 s −1 . The parameters evaluated were those reported by [47], which were useful to discriminate between environments with water deficit and heat stress: effective photochemical quantum yield of photosystem II [Y(II)], coefficient of non-photochemical fluorescence quenching (qN), coefficient of photochemical fluorescence quenching (qP), initial slope of the fast light curve (Alpha), maximum electron transport rate (ETR max ), and the irradiance at which the electron transport rate is saturated (IK), or in other words, the PAR value at the point of intersection of the horizontal line between ETR max and Alpha.…”

Latin America: A Development Pole for Phenomics

“…Although phenomics in LAC has not yet had a proper expansion, there are some good examples of institutions focusing on it: (i) The International Maize and Wheat Improvement Center (CIMMYT—Mexico) routinely uses remote sensing and high spec sensor technologies to screen for wheat and maize's responses to biotic and abiotic stresses, among them yield and its components, biomass, senescence (stay-green), water stress, and water use efficiency, canopy cover, photosynthetic capacity and activity (Zaman-Allah et al, 2015). Special emphasis is also put on 3D reconstruction for plant height, spike number and biomass determination; (ii) The Plant Breeding and Phenomic Center (University of Talca—Chile) have focused its efforts on the prediction of physiological traits by spectrometry and thermography (e.g., gas exchange, modulated chlorophyll fluorescence, pigments concentration, stem water potential, hydric and osmotic cell potential, cell membrane stability, lipid peroxidation, proline content, C and O isotopic composition) on several breeding programs (wheat, blueberries, alfalfa, strawberries, and quinoa) oriented to abiotic stresses (salt, water deficit and high temperature) (Garriga et al, 2014; Lobos et al, 2014; Estrada et al, 2015; Hernandez et al, 2015), developing also a software for exploratory analysis of high-resolution spectral reflectance data on plant breeding (Lobos and Poblete-Echeverría, in press). …”