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M Beissinger

Showing results (21-30 of 28) with videos related to

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Frontiers in Genetics|February 4, 2012
A primer on high-throughput computing for genomic selectionXiao-Lin Wu, Timothy M Beissinger, Stewart Bauck, et al.
Genetics|January 2, 2014
A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear numberTimothy M Beissinger, Candice N Hirsch, Brieanne Vaillancourt, et al.
Plant & Cell Physiology|May 20, 2021
Genetic Architecture of Maize Rind Strength Revealed by the Analysis of Divergently Selected PopulationsRohit Kumar, Abiskar Gyawali, Ginnie D Morrison, et al.
Genetics|February 16, 2013
Marker density and read depth for genotyping populations using genotyping-by-sequencingTimothy M Beissinger, Candice N Hirsch, Rajandeep S Sekhon, et al.
The Plant Cell|June 27, 2019
Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in MaizeRajandeep S Sekhon, Christopher Saski, Rohit Kumar, et al.
Genetics|July 20, 2014
Insights into the effects of long-term artificial selection on seed size in maizeCandice N Hirsch, Sherry A Flint-Garcia, Timothy M Beissinger, et al.
G3 (Bethesda, Md.)|January 10, 2023
Yield prediction through integration of genetic, environment, and management data through deep learningDaniel R Kick, Jason G Wallace, James C Schnable, et al.
BMC Research Notes|February 10, 2026
Genomes to fields 2024 maize genotype by environment prediction competitionQiuyue Chen, Jacob D Washburn, Dayane Cristina Lima, et al.
Pageof 3

Showing results (21-30 of 28) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 28 results.
Frontiers in Genetics|February 4, 2012
A primer on high-throughput computing for genomic selectionXiao-Lin Wu, Timothy M Beissinger, Stewart Bauck, et al.
Genetics|January 2, 2014
A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear numberTimothy M Beissinger, Candice N Hirsch, Brieanne Vaillancourt, et al.
Plant & Cell Physiology|May 20, 2021
Genetic Architecture of Maize Rind Strength Revealed by the Analysis of Divergently Selected PopulationsRohit Kumar, Abiskar Gyawali, Ginnie D Morrison, et al.
Genetics|February 16, 2013
Marker density and read depth for genotyping populations using genotyping-by-sequencingTimothy M Beissinger, Candice N Hirsch, Rajandeep S Sekhon, et al.
The Plant Cell|June 27, 2019
Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in MaizeRajandeep S Sekhon, Christopher Saski, Rohit Kumar, et al.
Genetics|July 20, 2014
Insights into the effects of long-term artificial selection on seed size in maizeCandice N Hirsch, Sherry A Flint-Garcia, Timothy M Beissinger, et al.
G3 (Bethesda, Md.)|January 10, 2023
Yield prediction through integration of genetic, environment, and management data through deep learningDaniel R Kick, Jason G Wallace, James C Schnable, et al.
BMC Research Notes|February 10, 2026
Genomes to fields 2024 maize genotype by environment prediction competitionQiuyue Chen, Jacob D Washburn, Dayane Cristina Lima, et al.
Pageof 3