Abstract: Provided herein are methods for evaluating associations between candidate genes and a trait of interest in a population. The methods include a combination of genome-wide association analysis and one or more of nested association mapping (NAM), expression QTL analysis (eQTL), and allele epistastic analysis (AEA). Markers are selected or prioritized if they are shown to be positively-correlated with a trait of interest using GWA and a combination of one or both of NAM and eQTL. Also provided are models for evaluating the association between a candidate marker and a trait in a nested population of organisms. These methods include single marker regression and multiple marker regression models. Markers identified using the methods of the invention can be used in marker assisted breeding and selection, as genetic markers for constructing linkage maps, for gene discovery, for identifying genes contributing to a trait of interest, and for generating transgenic organisms having a desired trait.

Abstract: Methods for introgressing an allele of interest of a locus associated with a yield trait into Zea mays germplasm are provided. In some embodiments, the methods include providing a Zea mays plant that contains an allele of interest of a locus associated with a yield trait, wherein the locus associated with the yield trait is identifiable by PCR amplification of a Zea mays nucleic acid with a pair of oligonucleotides primers as disclosed herein, and introgressing the allele of interest into Zea mays germplasm that lacks the allele. Also provided are methods for identifying Zea mays plants that contain at least one allele associated with improved yield, improved maize plants, elite Zea mays plants, biomass produced from improved Zea mays plants, isolated and purified genetic markers, and compositions that include an amplification primer pair capable of amplifying a Zea mays nucleic acid to generate a Zea mays marker amplicon.

Abstract: The presently disclosed subject matter relates to methods and compositions for identifying, selecting, and/or producing drought tolerant maize plants or germplasm. Maize plants or germplasm that have been identified, selected, and/or produced by any of the methods of the presently disclosed subject matter are also provided.

Abstract: Methods for introgressing an allele of interest of a locus associated with a yield trait into Zea mays germplasm are provided. In some embodiments, the methods include providing a Zea mays plant that contains an allele of interest of a locus associated with a yield trait, wherein the locus associated with the yield trait is identifiable by PCR amplification of a Zea mays nucleic acid with a pair of oligonucleotides primers as disclosed herein, and introgressing the allele of interest into Zea mays germplasm that lacks the allele. Also provided are methods for identifying Zea mays plants that contain at least one allele associated with improved yield, improved maize plants, elite Zea mays plants, biomass produced from improved Zea mays plants, isolated and purified genetic markers, and compositions that include an amplification primer pair capable of amplifying a Zea mays nucleic acid to generate a Zea mays marker amplicon.

Abstract: Provided herein are methods for evaluating associations between candidate genes and a trait of interest in a population. The methods include a combination of genome-wide association analysis and one or more of nested association mapping (NAM), expression QTL analysis (eQTL), and allele epistastic analysis (AEA). Markers are selected or prioritized if they are shown to be positively-correlated with a trait of interest using GWA and a combination of one or both of NAM and eQTL. Also provided are models for evaluating the association between a candidate marker and a trait in a nested population of organisms. These methods include single marker regression and multiple marker regression models. Markers identified using the methods of the invention can be used in marker assisted breeding and selection, as genetic markers for constructing linkage maps, for gene discovery, for identifying genes contributing to a trait of interest, and for generating transgenic organisms having a desired trait.

Abstract: Provided herein are methods for evaluating associations between candidate markers and a trait of interest in a plant population. In various embodiments, the plant population is a breeding population, particularly early stage breeding populations. The methods include obtaining a genotypic value for candidate markers and correlating the marker with the trait. Various association models can be used to evaluate the association, and include statistical methods relevant to the structure of plant breeding populations. Population structure may be accounted for in the association models by using Principle Component Analysis. Further provided is a novel statistical approach for association mapping in early stage breeding materials using a transmission disequilibrium based methodology.