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James E Specht

Showing results (1-10 of 28) with videos related to

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Scientific Reports|February 28, 2019
Defining Optimal Soybean Sowing Dates across the USSpyridon Mourtzinis, James E Specht, Shawn P Conley
Scientific Reports|September 10, 2021
Advancing agricultural research using machine learning algorithmsSpyridon Mourtzinis, Paul D Esker, James E Specht, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|August 11, 2017
Impact of seed protein alleles from three soybean sources on seed composition and agronomic traitsLillian F Brzostowski, Timothy I Pruski, James E Specht, et al.
Planta|September 18, 2012
Activity of the Arabidopsis RD29A and RD29B promoter elements in soybean under water stressSaadia Bihmidine, Jiusheng Lin, Julie M Stone, et al.
G3 (Bethesda, Md.)|May 13, 2016
Multi-Population Selective Genotyping to Identify Soybean [Glycine max (L.) Merr.] Seed Protein and Oil QTLsPiyaporn Phansak, Watcharin Soonsuwon, David L Hyten, et al.
BMC Genomics|January 3, 2014
A genome-wide association study of seed protein and oil content in soybeanEun-Young Hwang, Qijian Song, Gaofeng Jia, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 11, 2022
Genotype imputation for soybean nested association mapping population to improve precision of QTL detectionLinfeng Chen, Shouping Yang, Susan Araya, et al.
The Plant Genome|July 21, 2017
Genome-wide Association Mapping of Qualitatively Inherited Traits in a Germplasm CollectionNonoy B Bandillo, Aaron J Lorenz, George L Graef, et al.
Scientific Reports|December 10, 2017
Dissecting the Genetic Basis of Local Adaptation in SoybeanNonoy B Bandillo, Justin E Anderson, Michael B Kantar, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 28, 2010
Artificial selection for determinate growth habit in soybeanZhixi Tian, Xiaobo Wang, Rian Lee, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Scientific Reports|February 28, 2019
Defining Optimal Soybean Sowing Dates across the USSpyridon Mourtzinis, James E Specht, Shawn P Conley
Scientific Reports|September 10, 2021
Advancing agricultural research using machine learning algorithmsSpyridon Mourtzinis, Paul D Esker, James E Specht, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|August 11, 2017
Impact of seed protein alleles from three soybean sources on seed composition and agronomic traitsLillian F Brzostowski, Timothy I Pruski, James E Specht, et al.
Planta|September 18, 2012
Activity of the Arabidopsis RD29A and RD29B promoter elements in soybean under water stressSaadia Bihmidine, Jiusheng Lin, Julie M Stone, et al.
G3 (Bethesda, Md.)|May 13, 2016
Multi-Population Selective Genotyping to Identify Soybean [Glycine max (L.) Merr.] Seed Protein and Oil QTLsPiyaporn Phansak, Watcharin Soonsuwon, David L Hyten, et al.
BMC Genomics|January 3, 2014
A genome-wide association study of seed protein and oil content in soybeanEun-Young Hwang, Qijian Song, Gaofeng Jia, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 11, 2022
Genotype imputation for soybean nested association mapping population to improve precision of QTL detectionLinfeng Chen, Shouping Yang, Susan Araya, et al.
The Plant Genome|July 21, 2017
Genome-wide Association Mapping of Qualitatively Inherited Traits in a Germplasm CollectionNonoy B Bandillo, Aaron J Lorenz, George L Graef, et al.
Scientific Reports|December 10, 2017
Dissecting the Genetic Basis of Local Adaptation in SoybeanNonoy B Bandillo, Justin E Anderson, Michael B Kantar, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 28, 2010
Artificial selection for determinate growth habit in soybeanZhixi Tian, Xiaobo Wang, Rian Lee, et al.
Pageof 3