Quantitative genetic analysis of maize organogenesis

Rice, Brian Ronald

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https://hdl.handle.net/2142/113206 Copy

Description

Title

Quantitative genetic analysis of maize organogenesis

Author(s)

Rice, Brian Ronald

Issue Date

2021-07-16

Director of Research (if dissertation) or Advisor (if thesis)

Lipka, Alexander E

Doctoral Committee Chair(s)

Lipka, Alexander E

Committee Member(s)

• Bollero, German A
• Bohn, Martin O
• Studer, Anthony J

Department of Study

Crop Sciences

Discipline

Crop Sciences

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• quantitative genetics
• maize
• genomic prediction

Abstract

Uncovering the genetic architecture of complex maize phenotypes is a core goal in understanding fundamental genetics and plant breeding. Several characteristics of maize have made it a staple model organism for studying gene regulation and a global food source. Understanding the underlying genetics of maize inflorescence serves both purposes. Maize tassel, ear, and leaf organogenesis, although divergent in position on the plant, are hypothesized to share many of the same regulating genomic components. Insights into the genes regulating leaf, ear, and tassel morphology have implications for our understanding of pleiotropy, translating to knowledge on their genomic architectures. This thesis's two core focuses are to i) develop novel understanding of the genetic architecture leaf angle and tassel primary branches and ii) reveal candidate pleiotropic genes regulating the development of male and female inflorescence and leaf architecture in maize. In its totality, this thesis argues that quantitative genetic approaches need be as complex as the trait(s) they scrutinize. I discuss this notion as it applies to genomic prediction models and then apply it to investigate genetic components regulating leaf and inflorescence organogenesis in maize.

Graduation Semester

2021-08

Type of Resource

Thesis

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http://hdl.handle.net/2142/113206

Copyright and License Information

Copyright 2021 Brian Rice

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