Publications by authors named "William Beavis"

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Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis.
Zhanyou Xu, Andreomar Kurek, Steven B Cannon, William D Beavis

PLoS One· July 2024

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Models to estimate genetic gain of soybean seed yield from annual multi-environment field trials.
Matheus D Krause, Hans-Peter Piepho, Kaio O G Dias, Asheesh K Singh, William D Beavis

Theor Appl Genet· November 2023

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Genetic basis of maize maternal haploid induction beyond and .
Henrique Uliana Trentin, Matheus Dalsente Krause, Rajkumar Uttamrao Zunjare, Vinícius Costa Almeida, Edicarlos Peterlini, William Dale Beavis

Front Plant Sci· October 2023

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Genetic architecture of protein and oil content in soybean seed and meal.
Brian W Diers, James E Specht, George L Graef, Qijian Song, Katy Martin Rainey, William D Beavis

Plant Genome· March 2023

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High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population.
Christopher M Montes, Carolyn Fox, Álvaro Sanz-Sáez, Shawn P Serbin, Etsushi Kumagai, William D Beavis

Genetics· May 2022

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Estimation of genetic variance contributed by a quantitative trait locus: correcting the bias associated with significance tests.
Fangjie Xie, Shibo Wang, William D Beavis, Shizhong Xu

Genetics· November 2021

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Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.
Vishnu Ramasubramanian, William D Beavis

Front Genet· September 2021

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Dynamic Programming for Resource Allocation in Multi-Allelic Trait Introgression.
Ye Han, John N Cameron, Lizhi Wang, Hieu Pham, William D Beavis

Front Plant Sci· June 2021

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GWASpro: a high-performance genome-wide association analysis server.
Bongsong Kim, Xinbin Dai, Wenchao Zhang, Zhaohong Zhuang, Darlene L Sanchez, William D Beavis

Bioinformatics· July 2019

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Multi-objective optimized genomic breeding strategies for sustainable food improvement.
Deniz Akdemir, William Beavis, Roberto Fritsche-Neto, Asheesh K Singh, Julio Isidro-Sánchez

Heredity (Edinb)· May 2019

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Technological advances in maize breeding: past, present and future.
Carson Andorf, William D Beavis, Matthew Hufford, Stephen Smith, Walter P Suza

Theor Appl Genet· March 2019

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Genetic Architecture of Soybean Yield and Agronomic Traits.
Brian W Diers, Jim Specht, Katy Martin Rainey, Perry Cregan, Qijian Song, William D Beavis

G3 (Bethesda)· October 2018

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Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population.
Alencar Xavier, Diego Jarquin, Reka Howard, Vishnu Ramasubramanian, James E Specht, William D Beavis

G3 (Bethesda)· February 2018

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Systematic design for trait introgression projects.
John N Cameron, Ye Han, Lizhi Wang, William D Beavis

Theor Appl Genet· October 2017

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Leveraging genomic prediction to scan germplasm collection for crop improvement.
Leonardo de Azevedo Peixoto, Tara C Moellers, Jiaoping Zhang, Aaron J Lorenz, Leonardo L Bhering, William D Beavis

PLoS One· September 2017

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Application of Response Surface Methods To Determine Conditions for Optimal Genomic Prediction.
Réka Howard, Alicia L Carriquiry, William D Beavis

G3 (Bethesda)· September 2017

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Numericware N: Numerator Relationship Matrix Calculator.
Bongsong Kim, William D Beavis, Jens Léon

J Hered· July 2017

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Genetic Characterization of the Soybean Nested Association Mapping Population.
Qijian Song, Long Yan, Charles Quigley, Brandon D Jordan, Edward Fickus, William D Beavis

Plant Genome· July 2017

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The Predicted Cross Value for Genetic Introgression of Multiple Alleles.
Ye Han, John N Cameron, Lizhi Wang, William D Beavis

Genetics· April 2017

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Numericware i: Identical by State Matrix Calculator.
Bongsong Kim, William D Beavis

Evol Bioinform Online· March 2017

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Distribution and evolution of cotton fiber development genes in the fibreless Gossypium raimondii genome.
Zhanyou Xu, Jing Yu, Russell J Kohel, Richard G Percy, William D Beavis

Genomics· July 2015

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Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures.
Réka Howard, Alicia L Carriquiry, William D Beavis

G3 (Bethesda)· April 2014

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Family-based association mapping in crop species.
Baohong Guo, Daolong Wang, Zhigang Guo, William D Beavis

Theor Appl Genet· June 2013

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Genome-wide association study for oat (Avena sativa L.) beta-glucan concentration using germplasm of worldwide origin.
Mark A Newell, Franco G Asoro, M Paul Scott, Pamela J White, William D Beavis

Theor Appl Genet· December 2012

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In silico genotyping of the maize nested association mapping population.
Baohong Guo, William D Beavis

Mol Breed· January 2011

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