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Dean Podlich

Showing results (1-10 of 8) with videos related to

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G3 (Bethesda, Md.)|February 19, 2026
Back to the future 2: the implications of germplasm structure on the balance between short and long-term genetic gain in a changing target population of environmentsFrank Technow, Dean Podlich, Mark Cooper
G3 (Bethesda, Md.)|May 5, 2021
Back to the future: implications of genetic complexity for the structure of hybrid breeding programsFrank Technow, Dean Podlich, Mark Cooper
Journal of Experimental Botany|November 3, 2010
Yield-trait performance landscapes: from theory to application in breeding maize for drought toleranceCarlos D Messina, Dean Podlich, Zhanshan Dong, et al.
Genetics|May 6, 2004
The selective values of alleles in a molecular network model are context dependentJean Peccoud, Kent Vander Velden, Dean Podlich, et al.
Plant Physiology|November 18, 2021
Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?Christine H Diepenbrock, Tom Tang, Michael Jines, et al.
Trends in Plant Science|November 10, 2006
Models for navigating biological complexity in breeding improved crop plantsGraeme Hammer, Mark Cooper, François Tardieu, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|November 19, 2009
Mixed model approaches for the identification of QTLs within a maize hybrid breeding programFred A van Eeuwijk, Martin Boer, L Radu Totir, et al.
The Plant Genome|October 31, 2025
The Big BIT maize experiment: A large multi-location, multi-year, multi-tester, multi-population predictive breeding validation studyMichael Jines, Michael Chandler, Dean Podlich, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
G3 (Bethesda, Md.)|February 19, 2026
Back to the future 2: the implications of germplasm structure on the balance between short and long-term genetic gain in a changing target population of environmentsFrank Technow, Dean Podlich, Mark Cooper
G3 (Bethesda, Md.)|May 5, 2021
Back to the future: implications of genetic complexity for the structure of hybrid breeding programsFrank Technow, Dean Podlich, Mark Cooper
Journal of Experimental Botany|November 3, 2010
Yield-trait performance landscapes: from theory to application in breeding maize for drought toleranceCarlos D Messina, Dean Podlich, Zhanshan Dong, et al.
Genetics|May 6, 2004
The selective values of alleles in a molecular network model are context dependentJean Peccoud, Kent Vander Velden, Dean Podlich, et al.
Plant Physiology|November 18, 2021
Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?Christine H Diepenbrock, Tom Tang, Michael Jines, et al.
Trends in Plant Science|November 10, 2006
Models for navigating biological complexity in breeding improved crop plantsGraeme Hammer, Mark Cooper, François Tardieu, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|November 19, 2009
Mixed model approaches for the identification of QTLs within a maize hybrid breeding programFred A van Eeuwijk, Martin Boer, L Radu Totir, et al.
The Plant Genome|October 31, 2025
The Big BIT maize experiment: A large multi-location, multi-year, multi-tester, multi-population predictive breeding validation studyMichael Jines, Michael Chandler, Dean Podlich, et al.
Pageof 1