Estimation of physiological genomic estimated breeding values (PGEBV) combining full hyperspectral and marker data across environments for grain yield under combined heat and drought stress in tropical maize (Zea mays L.)

High throughput phenotyping technologies are lagging behind modern marker technology impairing the use of secondary traits to increase genetic gains in plant breeding. We aimed to assess whether the combined use of hyperspectral data with modern marker technology could be used to improve across loca...

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Veröffentlicht in:	PloS one 2019-03, Vol.14 (3), p.e0212200-e0212200
Hauptverfasser:	Trachsel, Samuel, Dhliwayo, Thanda, Gonzalez Perez, Lorena, Mendoza Lugo, Jose Alberto, Trachsel, Mathias
Format:	Artikel
Sprache:	eng
Schlagworte:	Abiotic stress Accuracy Agricultural production Agriculture - methods Aircraft Bayes Theorem Bayesian analysis Biology and Life Sciences Biomarkers Cameras Climate change Computer and Information Sciences Corn Crop diseases Crop yield Decision trees Drought Droughts Ecology and Environmental Sciences Edible Grain - genetics Forecasting - methods Genome, Plant - genetics Genomes Genomics Genotype Germplasm Heat Heat stress Heat tolerance Heat-Shock Response - genetics Hot Temperature Mathematical models Methods Mexico Models, Genetic Phenotype Phenotyping Physical Sciences Physiology Plant breeding Plant Breeding - methods Plant diseases Plant sciences Population (statistical) Quantitative genetics Regression Remote sensing Research and Analysis Methods Salt Tolerance - genetics Selection, Genetic - genetics Statistical analysis Statistical models Technology Unmanned aerial vehicles Zea mays - genetics
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