Nicholas Santantonio

Capturing Spatial Heterogeneity Using UAV-Derived Multispectral Phenotypes and Random Regression Models Improves Genetic Evaluation in Alfalfa Breeding Trials

Environmentally-mediated yield effects of vernalization and photoperiod alleles in historic winter wheat trials

The paper analyzes historic wheat trials to show how vrn1 and Ppd1 alleles affect yield through environmental interactions, finding that vrn1 effects are more variable than Ppd1 effects.

Genomic Prediction Enables Same-Season Selection for Reduced Glycosidic Nitrile in Eastern U.S. Winter Barley

This study demonstrates that genomic selection can predict glycosidic nitrile content in winter barley during the same growing season, enabling earlier breeding decisions.

Remote sensing for estimating genetic parameters of biomass accumulation and modeling stability of growth curves in alfalfa

This study uses multi-spectral imaging to estimate genetic parameters of biomass accumulation and model growth curve stability in alfalfa across different irrigation treatments and cultivars.

Spatio-temporal modeling of high-throughput multi-spectral aerial images improves agronomic trait genomic prediction in hybrid maize

The paper improves genomic prediction of agronomic traits in maize by integrating spatio-temporal modeling of multi-spectral aerial images with genetic data.

Bearded or Smooth? Awns Improve Yield when Wheat Experiences Heat Stress During Grain Fill

The paper estimates the yield effects of awns in wheat under different environmental conditions over 12 years in the Southeast US, finding awns improve yield in heat-stressed environments.

A hybrid optimal contribution approach to drive short-term gains while maintaining long-term sustainability in a modern plant breeding program

The paper proposes a hybrid optimal contribution approach to balance short-term genetic gains with long-term sustainability in plant breeding programs.

A subfunctionalization epistasis model to evaluate homeologous gene interactions in allopolyploid wheat

The paper develops a subfunctionalization epistasis model to assess homeologous gene interactions in allopolyploid wheat and evaluates their contribution to genetic variation.

A low resolution epistasis mapping approach to identify chromosome arm interactions in allohexaploid wheat

The paper introduces a low-resolution epistasis mapping method to detect chromosome arm interactions in allohexaploid wheat, finding significant epistatic interactions for 2% of tested pairs.

Prediction of subgenome additive and interaction effects in allohexaploid wheat

The paper presents a statistical framework to predict subgenome additive and interaction effects in allohexaploid wheat, showing reliable variance estimation and comparable predictive ability to existing methods.