Zobrazeno 1 - 10
of 316
pro vyhledávání: '"Patrick S, Schnable"'
Autor:
Christopher K. Tuggle, Jennifer L. Clarke, Brenda M. Murdoch, Eric Lyons, Nicole M. Scott, Bedrich Beneš, Jacqueline D. Campbell, Henri Chung, Courtney L. Daigle, Sruti Das Choudhury, Jack C. M. Dekkers, Joao R. R. Dórea, David S. Ertl, Max Feldman, Breno O. Fragomeni, Janet E. Fulton, Carmela R. Guadagno, Darren E. Hagen, Andrew S. Hess, Luke M. Kramer, Carolyn J. Lawrence-Dill, Alexander E. Lipka, Thomas Lübberstedt, Fiona M. McCarthy, Stephanie D. McKay, Seth C. Murray, Penny K. Riggs, Troy N. Rowan, Moira J. Sheehan, Juan P. Steibel, Addie M. Thompson, Kara J. Thornton, Curtis P. Van Tassell, Patrick S. Schnable
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Dramatic improvements in measuring genetic variation across agriculturally relevant populations (genomics) must be matched by improvements in identifying and measuring relevant trait variation in such populations across many environments (ph
Externí odkaz:
https://doaj.org/article/16775bc608354ceabfd4ba8fddc9415e
Autor:
Aaron Kusmec, Lakshmi Attigala, Xiongtao Dai, Srikant Srinivasan, Cheng-Ting Eddy Yeh, Patrick S Schnable
Publikováno v:
PLoS Genetics, Vol 19, Iss 7, p e1010799 (2023)
Global climate change is increasing both average temperatures and the frequencies of extreme high temperatures. Past studies have documented a strong negative effect of exposures to temperatures >30°C on hybrid maize yields. However, these studies c
Externí odkaz:
https://doaj.org/article/ce4a8e89af1e4802936e8323367463fa
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 13, Iss 4 (2023)
AbstractTrait introgression (TI) can be a time-consuming and costly task that typically requires multiple generations of backcrossing (BC). Usually, the aim is to introduce one or more alleles (e.g. QTLs) from a single donor into an elite recipient,
Externí odkaz:
https://doaj.org/article/39f806bf50724b3b8a5898f2c9d620c7
Autor:
Christopher K. Tuggle, Jennifer Clarke, Jack C. M. Dekkers, David Ertl, Carolyn J. Lawrence-Dill, Eric Lyons, Brenda M. Murdoch, Nicole M. Scott, Patrick S. Schnable
Publikováno v:
Genome Biology, Vol 23, Iss 1, Pp 1-11 (2022)
Externí odkaz:
https://doaj.org/article/9639d32910d6461eb1ecb69c85fb1cc7
Publikováno v:
Plant Phenomics, Vol 5 (2023)
High-throughput plant phenotyping—the use of imaging and remote sensing to record plant growth dynamics—is becoming more widely used. The first step in this process is typically plant segmentation, which requires a well-labeled training dataset t
Externí odkaz:
https://doaj.org/article/7381028f2df7461d80e2201f87cf4238
Autor:
Guifang Lin, Cheng He, Jun Zheng, Dal-Hoe Koo, Ha Le, Huakun Zheng, Tej Man Tamang, Jinguang Lin, Yan Liu, Mingxia Zhao, Yangfan Hao, Frank McFraland, Bo Wang, Yang Qin, Haibao Tang, Donald R. McCarty, Hairong Wei, Myeong-Je Cho, Sunghun Park, Heidi Kaeppler, Shawn M. Kaeppler, Yunjun Liu, Nathan Springer, Patrick S. Schnable, Guoying Wang, Frank F. White, Sanzhen Liu
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-30 (2021)
Abstract Background The maize inbred line A188 is an attractive model for elucidation of gene function and improvement due to its high embryogenic capacity and many contrasting traits to the first maize reference genome, B73, and other elite lines. T
Externí odkaz:
https://doaj.org/article/5c4f734f7e1346da88a3714458a139c3
Autor:
Bridget A. McFarland, Naser AlKhalifah, Martin Bohn, Jessica Bubert, Edward S. Buckler, Ignacio Ciampitti, Jode Edwards, David Ertl, Joseph L. Gage, Celeste M. Falcon, Sherry Flint-Garcia, Michael A. Gore, Christopher Graham, Candice N. Hirsch, James B. Holland, Elizabeth Hood, David Hooker, Diego Jarquin, Shawn M. Kaeppler, Joseph Knoll, Greg Kruger, Nick Lauter, Elizabeth C. Lee, Dayane C. Lima, Aaron Lorenz, Jonathan P. Lynch, John McKay, Nathan D. Miller, Stephen P. Moose, Seth C. Murray, Rebecca Nelson, Christina Poudyal, Torbert Rocheford, Oscar Rodriguez, Maria Cinta Romay, James C. Schnable, Patrick S. Schnable, Brian Scully, Rajandeep Sekhon, Kevin Silverstein, Maninder Singh, Margaret Smith, Edgar P. Spalding, Nathan Springer, Kurt Thelen, Peter Thomison, Mitchell Tuinstra, Jason Wallace, Ramona Walls, David Wills, Randall J. Wisser, Wenwei Xu, Cheng-Ting Yeh, Natalia de Leon
Publikováno v:
BMC Research Notes, Vol 13, Iss 1, Pp 1-6 (2020)
Abstract Objectives Advanced tools and resources are needed to efficiently and sustainably produce food for an increasing world population in the context of variable environmental conditions. The maize genomes to fields (G2F) initiative is a multi-in
Externí odkaz:
https://doaj.org/article/1510427aaae942ba838b59fea25ed8cd
Autor:
Carolyn J. Lawrence-Dill, Robyn L. Allscheid, Albert Boaitey, Todd Bauman, Edward S. Buckler, Jennifer L. Clarke, Christopher Cullis, Jack Dekkers, Cassandra J. Dorius, Shawn F. Dorius, David Ertl, Matthew Homann, Guiping Hu, Mary Losch, Eric Lyons, Brenda Murdoch, Zahra-Katy Navabi, Somashekhar Punnuri, Fahad Rafiq, James M. Reecy, Patrick S. Schnable, Nicole M. Scott, Moira Sheehan, Xavier Sirault, Margaret Staton, Christopher K. Tuggle, Alison Van Eenennaam, Rachael Voas
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 4 (2022)
Externí odkaz:
https://doaj.org/article/7d921451f70e47edb4598c8b477a9ea1
Autor:
Caio L. dos Santos, Lori J. Abendroth, Jeffrey A. Coulter, Emerson D. Nafziger, Andy Suyker, Jianming Yu, Patrick S. Schnable, Sotirios V. Archontoulis
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
The relationship between collared leaf number and growing degree days (GDD) is crucial for predicting maize phenology. Biophysical crop models convert GDD accumulation to leaf numbers by using a constant parameter termed phyllochron (°C-day leaf−1
Externí odkaz:
https://doaj.org/article/d39419ee504a4cbf95fbaed95bc16110
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 9, Iss 7, Pp 2123-2133 (2019)
New genotyping technologies have made large amounts of genotypic data available for plant breeders to use in their efforts to accelerate the rate of genetic gain. Genomic selection (GS) techniques allow breeders to use genotypic data to identify and
Externí odkaz:
https://doaj.org/article/f7e9501242964747be0a05b98ab71cd1