Zaman-Allah, Mainassara

CGSpace

Advanced field-based phenotyping methods andopportunities for improving genetic gain in crop improvement(Araus and Cairns 2014)Pillars of crop breedingBreeders Equation (Genetic gain)Pillars for increasing genetic gainMonitoring all sources of field environmental noise Growth stage and granularity at which phenotypes need to be gathered. Combination of statistical designs and an appropriate data analysis frameworkHeritability values high enough to sustain genetic progress in the TPEA positive genetic correlation the phenotyping environment and the TPE.Selection AccuracyKey Field-based Phenotyping challengesKey Field-based Phenotyping challengesTracking spatial Field variation Stress quantification/ MonitoringData collection methodsPlot quality assessmentiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Field spatial variability mappingiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Field spatial variability mappingiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Field spatial variability mappingControlling the variationTrial mapping Use for data analysisiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Field spatial variability mappingControlling the variationiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Stress Monitoring/QuantificationAbout 3t/ha trial yield averageAbsolute yield level About 70% of yield under optimum conditionsYield reduction levelDrought Low Nitrogeniselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Stress Monitoring/QuantificationCapacitance probe PR2iselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Timing of Stress Imposition~2 Weeks before floweringiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Plot quality assessmentReducing costs > increased selection intensityiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Field + measurementcostsGeneration + management of larger populationsTrait measurementSelection intensityData Collection methodsReducing costs > increased selection intensityiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨iselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Visual scores VS image based dataLow nitrogen field at CIMMYT-Harare(Zimbabwe)iselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Visual scores VS image based dataDigital imagingVisual assessmentSen. index Sen1 (%) Sen2 (%) Sen3 (%)Heritability 0.529 0.285 0.585 0.500Mean 0.466 12.731 28.666 61.944Genetic correlation with yield -0.397** -0.179 0.006 -0.101Canopy senescenceiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Visual scores VS image based dataiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Manual measurements VS image based dataiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨• Average cob size• Cob number• Cob uniformity index• Total Kernel number• Kernel row number• Average kernel sizeImage AnalysisManual measurements VS image based dataiselection intensityr selection accuracyy cycle timegenetic variability𝝈𝑨Manual measurements VS image based dataThank you for your interest!

Advanced field-based phenotyping methods and opportunities for improving genetic gain in crop improvement

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Advanced field-based phenotyping methods and opportunities for improving genetic gain in crop improvement

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