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APA citation
Robles-Zazueta, C. A., Pinto Espinosa, F., Molero, G., Foulkes, M. J., Reynolds, M. P., & Murchie, E. H. (2022). Prediction of photosynthetic, biophysical, and biochemical traits in wheat canopies to reduce the phenotyping bottleneck. Frontiers in Plant Science, 13, 828451. https://doi.org/10.3389/fpls.2022.828451
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To achieve food security, it is necessary to increase crop radiation use efficiency (RUE) and yield through the enhancement of canopy photosynthesis to increase the availability of assimilates for the grain, but its study in the field is constrained by low throughput and the lack of integrative measurements at canopy level. In this study, partial least squares regression (PLSR) was used with high-throughput phenotyping (HTP) data in spring wheat to build predictive models of photosynthetic, biophysical, and biochemical traits for the top, middle, and bottom layers of wheat canopies. The combined layer model predictions performed better than individual layer predictions with a significance as follows for photosynthesis R2 = 0.48, RMSE = 5.24 μmol m–2 s–1 and stomatal conductance: R2 = 0.36, RMSE = 0.14 mol m–2 s–1. The predictions of these traits from PLSR models upscaled to canopy level compared to field observations were statistically significant at initiation of booting (R2 = 0.3, p < 0.05; R2 = 0.29, p < 0.05) and at 7 days after anthesis (R2 = 0.15, p < 0.05; R2 = 0.65, p < 0.001). Using HTP allowed us to increase phenotyping capacity 30-fold compared to conventional phenotyping methods. This approach can be adapted to screen breeding progeny and genetic resources for RUE and to improve our understanding of wheat physiology by adding different layers of the canopy to physiological modeling.
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Journal
Frontiers in Plant Science
Journal volume
13
Journal issue
Article number
828451
Place of Publication
Switzerland
Publisher
Frontiers
Related Datasets
CGIAR Initiatives
Initiative
Accelerated Breeding
Impact Area
Nutrition, health & food security
Action Area
Genetic Innovation
Donor or Funder
International Wheat Yield Partnership (IWYP)
Secretaría de Agricultura y Desarrollo Rural, Mexico (SADER)
International Maize and Wheat Improvement Center (CIMMYT)
Consejo Nacional de Ciencia y Tecnología, Mexico (CONACyT)
Biotechnology and Biological Sciences Research Council (BBSRC)
Secretaría de Agricultura y Desarrollo Rural, Mexico (SADER)
International Maize and Wheat Improvement Center (CIMMYT)
Consejo Nacional de Ciencia y Tecnología, Mexico (CONACyT)
Biotechnology and Biological Sciences Research Council (BBSRC)