Person: Foulkes, John
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Foulkes
First Name
John
Name
Foulkes, J.
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0000-0002-7765-8340 21 results
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Now showing 1 - 10 of 21
- Dissecting the genetic basis of fruiting efficiency for genetic enhancement of harvest index, grain number, and yield in wheat(BioMed Central Ltd., 2025) Shahi, D.; Jia Guo; Md Ali Babar; Pradhan, S.; Avci, M.; McBreen, J.; Zhao Liu; Guihua Bai; St. Amand, P.; Bernardo, A.; Reynolds, M.P.; Molero, G.; Sukumaran, S.; Foulkes, J.; Khan, J.
Publication - Source-sink relationships in wheat and the role of N: Source and sink interactions and balance, and applications in breeding(CIMMYT, 2024) Rivera-Amado, C.; Reynolds, M.P.; Foulkes, J.
Publication - Associations between endogenous spike cytokinins and grain-number traits in spring wheat genotypes(Elsevier, 2024) Love, B.; Molero, G.; Rivera-Amado, C.; Müller, M.; Munne-Bosch, S.; Reynolds, M.P.; Foulkes, J.
Publication - Interaction of planting system with radiation-use efficiency in wheat lines(John Wiley and Sons Inc., 2024) Moroyoqui-Parra, M.A.; Molero, G.; Reynolds, M.P.; Gaju, O.; Murchie, E.; Foulkes, J.
Publication - A 'wiring diagram' for sink strength traits impacting wheat yield potential(Oxford University Press, 2023) Slafer, G.; Foulkes, J.; Reynolds, M.P.; Murchie, E.; Carmo Silva, E.; Flavell, R.; Gwyn, J.; Sawkins, M.C.; Griffiths, S.
Publication - A 'wiring diagram' for source strength traits impacting wheat yield potential(Oxford University Press, 2023) Murchie, E.; Reynolds, M.P.; Slafer, G.; Foulkes, J.; Acevedo-Siaca, L.G.; McAusland, L.; Sharwood, R.; Griffiths, S.; Flavell, R.; Gwyn, J.; Sawkins, M.C.; Carmo Silva, E.
Publication - Chapter 21. Yield potential(Springer Nature, 2022) Foulkes, J.; Molero, G.; Griffiths, S.; Slafer, G.; Reynolds, M.P.
Publication - Prediction of photosynthetic, biophysical, and biochemical traits in wheat canopies to reduce the phenotyping bottleneck(Frontiers, 2022) Robles-Zazueta, C.A.; Pinto Espinosa, F.; Molero, G.; Foulkes, J.; Reynolds, M.P.; Murchie, E.
Publication - Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat(BioMed Central, 2022) Shahi, D.; Jia Guo; Pradhan, S.; Khan, J.; Avci, M.; Khan, N.; McBreen, J.; Guihua Bai; Reynolds, M.P.; Foulkes, J.; Babar, A.
Publication - Field-based remote sensing models predict radiation use efficiency in wheat(Oxford University Press, 2021) Robles-Zazueta, C.A.; Molero, G.; Pinto Espinosa, F.; Foulkes, J.; Reynolds, M.P.; Murchie, E.
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