William Rooney

Regents Professor

Texas A&M University

United States

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William Rooney is a Regents Professor at Texas A&M University in the United States. His research primarily focuses on agronomy, with recent publications exploring biomass sorghum hybrids, genomic prediction of agronomic traits, and the genetic variation of sorgoleone. He actively contributes to the understanding of sorghum breeding and its applications in sustainable agriculture.

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Collaborators (11)

Tiffany Jamann

Assistant Professor

University of Illinois at Urbana-Champaign

UNITED STATES

Texas A&M University

UNITED STATES

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Seth Murray

Professor and Eugene Butler Endowed Chair

Texas A&M University

UNITED STATES

View details

Lloyd Wilson

Texas A&M University

UNITED STATES

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William Rooney

Research Interests

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Articles (22)

Ground-Active Arthropod Diversity Under Energycane and Biomass Sorghum Production

Synthesis, function, and genetic variation of sorgoleone, the major biological nitrification inhibitor in sorghum

Identifying the Best High‐Biomass Sorghum Hybrids Based on Biomass Yield Potential and Feedstock Quality Affected by Nitrogen Fertility Management Under Various Environments

Near-Infrared Spectroscopy-Based Phenomics Data Can Improve Genomic Prediction of Agronomic and Grain Quality Traits Across Multi-Environment Sorghum Hybrid Trials

General combining abilities and stability analysis to assess the value of grain sorghum hybrids made across public and private sector breeding programs

Registration of Tx3499–Tx3503 sorghum germplasm resistant to acetyl‐coenzyme A carboxylase‐inhibiting herbicides

Evaluating and Predicting the Performance of Sorghum Lines in an Elite by Exotic Backcross-Nested Association Mapping Population

Near‐infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments

Combining abilities and quantitative inheritance of sorgoleone exudation in Sorghum bicolor

Historical multi‐environmental trials reveal trends in hybrid grain sorghum performance from 1970 to 2021 in Texas

Envirotyping can increase genomic prediction accuracy of new environments in grain sorghum trials depending on mega‐environment

Use of genomic prediction to screen sorghum B‐lines in hybrid testcrosses

Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a Screening Method

Assessing The Agronomic Potential of Sorghum B‐Lines Using Genomic Prediction

Biophysical, Nutraceutical, and Technofunctional Features of Specialty Cereals: Pigmented Popcorn and Sorghum

Inbred phenotypic data and non‐additive effects can enhance genomic prediction models for hybrid grain sorghum

Non-Destructive Direct Pericarp Thickness Measurement of Sorghum Kernels Using Extended-Focus Optical Coherence Microscopy

Evaluation of Diverse Sorghum for Leaf Dhurrin Content and Post-Anthesis (Stay-Green) Drought Tolerance

Mega-environment analysis to assess adaptability, stability, and genomic predictions in grain sorghum hybrids

Identification of quantitative trait loci for sorghum leaf blight resistance

Prediction of regrowth and biomass of perennial sorghum using unoccupied aerial systems

Comparing the effects of grain weathering and presence of fungal communities on waxy and non‐waxy sorghum hybrids grown across Texas

Collaborators (11)

Tiffany Jamann

DoKyoung Lee

Jesse Morrison

Michael Thomson

Aart Verhoef

NITHYA RAJAN

Santiago Mideros

Patricia Klein

Alexei Sokolov

Seth Murray

Lloyd Wilson

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