Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Johnathon M. Shook"'
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
The lowering genotyping cost is ushering in a wider interest and adoption of genomic prediction and selection in plant breeding programs worldwide. However, improper conflation of historical and recent linkage disequilibrium between markers and genes
Externí odkaz:
https://doaj.org/article/9a76de3c6ab947e9a7f65195b5ebb0d2
Autor:
Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, Sambuddha Ghosal, Tianshuang Gao, Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar
Publikováno v:
Plant Phenomics, Vol 2021 (2021)
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop a machine learning (ML) approach adept at soybean (Glycine max L. (Me
Externí odkaz:
https://doaj.org/article/60cbb13aeede4c3da6caf1b35d9b3d0e
Publikováno v:
Frontiers in Plant Science
Frontiers in Plant Science, Vol 12 (2021)
Frontiers in Plant Science, Vol 12 (2021)
The lowering genotyping cost is ushering in a wider interest and adoption of genomic prediction and selection in plant breeding programs worldwide. However, improper conflation of historical and recent linkage disequilibrium between markers and genes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5069663c5c0f1008ff86e173c8ad0e2f
https://doi.org/10.3389/fpls.2021.676269
https://doi.org/10.3389/fpls.2021.676269
Autor:
Johnathon M. Shook, Arti Singh, Brian W. Diers, Sarah Jones, Jiaoping Zhang, Asheesh K. Singh
Publikováno v:
G3: Genes|Genomes|Genetics
We report a meta-Genome Wide Association Study involving 73 published studies in soybean (Glycine max L. [Merr.]) covering 17,556 unique accessions, with improved statistical power for robust detection of loci associated with a broad range of traits.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eacf15fd8d469c040ee83e91d3ed1716
https://doi.org/10.1093/g3journal/jkab117
https://doi.org/10.1093/g3journal/jkab117
Autor:
Baskar Ganapathysubramanian, Johnathon M. Shook, Soumik Sarkar, Tryambak Gangopadhyay, Linjiang Wu, Asheesh K. Singh
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252402 (2021)
PLoS ONE
PLoS ONE
Accurate prediction of crop yield supported by scientific and domain-relevant insights, can help improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop production i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efbb0fd0ee39bdfd2498f82c73236a4a
https://doaj.org/article/2725d1c2b5ff4022aef0b56c9f7c68bc
https://doaj.org/article/2725d1c2b5ff4022aef0b56c9f7c68bc
Autor:
Therin J. Young, Koushik Nagasubramanian, Jiaoping Zhang, William T. Schapaugh, Seyed Vahid Mirnezami, Sarah Jones, Kevin G. Falk, Matthew E. Carroll, Arti Singh, Clayton N. Carley, Johnathon M. Shook, Baskar Ganapathysubramanian, Soumik Sarkar, Fernando E. Miguez, Liza Van der Laan, Kyle A. Parmley, Asheesh K. Singh, Kevin O. Chiteri, Talukder Z. Jubery, Mariana Victoria Chiozza, Ashlyn M. Rairdin
Publikováno v:
Concepts and Strategies in Plant Sciences ISBN: 9783030737337
Soybean [Glycine max (L.) Merr.] breeders and geneticists routinely evaluate thousands of plots per year in order to characterize various accessions and breeding populations for a multitude of traits, for example, morphological, physiological, abioti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3147aaf01dea0e036c4f82e16b2ac6ab
https://doi.org/10.1007/978-3-030-73734-4_7
https://doi.org/10.1007/978-3-030-73734-4_7
Autor:
Johnathon M. Shook, Sambuddha Ghosal, Asheesh K. Singh, Luis G. Riera, Soumik Sarkar, Baskar Ganapathysubramanian, Tianshuang Gao, Arti Singh, Matthew E. Carroll, Zhisheng Zhang, Sourabh Bhattacharya
Publikováno v:
Plant Phenomics, Vol 2021 (2021)
Plant Phenomics
Plant Phenomics
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop a machine learning (ML) approach adept at soybean ( Glycine max L. (M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b027e7af61ad1fa9718c50d26a35fc8f
https://doaj.org/article/60cbb13aeede4c3da6caf1b35d9b3d0e
https://doaj.org/article/60cbb13aeede4c3da6caf1b35d9b3d0e
The lowering genotyping cost is ushering in a wider interest and adoption of genomic prediction and selection in plant breeding programs worldwide. However, improper conflation of historical and recent linkage disequilibrium between markers and genes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::499bc37beba589fb254f9065b176cc29
https://doi.org/10.1101/2020.10.17.343780
https://doi.org/10.1101/2020.10.17.343780
Autor:
Johnathon M. Shook, Soumik Sarkar, Asheesh K. Singh, Linjiang Wu, Tryambak Gangopadhyay, Baskar Ganapathysubramanian
Realized performance of complex traits is dependent on both genetic and environmental factors, which can be difficult to dissect due to the requirement for multiple replications of many genotypes in diverse environmental conditions. To mediate these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f06d1ca9bd0c9e1cf92acc4c92c9b1
https://doi.org/10.1101/331561
https://doi.org/10.1101/331561