Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Cinta Romay"'
Autor:
Yaoyao Wu, Lynn Johnson, Baoxing Song, Cinta Romay, Michelle Stitzer, Adam Siepel, Edward Buckler, Armin Scheben
Publikováno v:
The Plant Genome, Vol 15, Iss 2, Pp n/a-n/a (2022)
Abstract Alignments of multiple genomes are a cornerstone of comparative genomics, but generating these alignments remains technically challenging and often impractical. We developed the msa_pipeline workflow (https://bitbucket.org/bucklerlab/msa_pip
Externí odkaz:
https://doaj.org/article/3975d32cfd0c482f9d1e2d58bd5c3ef6
Autor:
Diego Jarquin, Natalia de Leon, Cinta Romay, Martin Bohn, Edward S. Buckler, Ignacio Ciampitti, Jode Edwards, David Ertl, Sherry Flint-Garcia, Michael A. Gore, Christopher Graham, Candice N. Hirsch, James B. Holland, David Hooker, Shawn M. Kaeppler, Joseph Knoll, Elizabeth C. Lee, Carolyn J. Lawrence-Dill, Jonathan P. Lynch, Stephen P. Moose, Seth C. Murray, Rebecca Nelson, Torbert Rocheford, James C. Schnable, Patrick S. Schnable, Margaret Smith, Nathan Springer, Peter Thomison, Mitch Tuinstra, Randall J. Wisser, Wenwei Xu, Jianming Yu, Aaron Lorenz
Publikováno v:
Frontiers in Genetics, Vol 11 (2021)
Genomic prediction provides an efficient alternative to conventional phenotypic selection for developing improved cultivars with desirable characteristics. New and improved methods to genomic prediction are continually being developed that attempt to
Externí odkaz:
https://doaj.org/article/1ce0200368274b0f8d7a77c83e0bf731
Autor:
Joseph L. Gage, Diego Jarquin, Cinta Romay, Aaron Lorenz, Edward S. Buckler, Shawn Kaeppler, Naser Alkhalifah, Martin Bohn, Darwin A. Campbell, Jode Edwards, David Ertl, Sherry Flint-Garcia, Jack Gardiner, Byron Good, Candice N. Hirsch, Jim Holland, David C. Hooker, Joseph Knoll, Judith Kolkman, Greg Kruger, Nick Lauter, Carolyn J. Lawrence-Dill, Elizabeth Lee, Jonathan Lynch, Seth C. Murray, Rebecca Nelson, Jane Petzoldt, Torbert Rocheford, James Schnable, Patrick S. Schnable, Brian Scully, Margaret Smith, Nathan M. Springer, Srikant Srinivasan, Renee Walton, Teclemariam Weldekidan, Randall J. Wisser, Wenwei Xu, Jianming Yu, Natalia de Leon
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
Breeding has increased crop productivity, but whether it has also changed phenotypic plasticity is unclear. Here, the authors find maize genomic regions selected for high productivity show reduced contribution to genotype by environment variation and
Externí odkaz:
https://doaj.org/article/bf556677ff7143cab78f80694da23eed
Autor:
Elad Oren, Asaf Dafna, Galil Tzuri, Ilan Halperin, Tal Isaacson, Meital Elkabetz, Ayala Meir, Uzi Saar, Shachar Ohali, Thuy La, Cinta Romay, Yaakov Tadmor, Arthur A. Schaffer, Edward S. Buckler, Roni Cohen, Joseph Burger, Amit Gur
Publikováno v:
The Plant Journal. 112:1525-1542
Linking genotype with phenotype is a fundamental goal in biology and requires robust data for both. Recent advances in plant-genome sequencing have expedited comparisons among multiple-related individuals. The abundance of structural genomic within-s
Autor:
Dayane Cristina Lima, Jacob D. Washburn, José Ignacio Varela, Qiuyue Chen, Joseph L. Gage, Maria Cinta Romay, James Holland, David Ertl, Marco Lopez-Cruz, Fernando M. Aguate, Gustavo de los Campos, Shawn Kaeppler, Timothy Beissinger, Martin Bohn, Edward Buckler, Jode Edwards, Sherry Flint-Garcia, Michael A. Gore, Candice N. Hirsch, Joseph E. Knoll, John McKay, Richard Minyo, Seth C. Murray, Osler A. Ortez, James C. Schnable, Rajandeep S. Sekhon, Maninder P. Singh, Erin E. Sparks, Addie Thompson, Mitchell Tuinstra, Jason Wallace, Teclemariam Weldekidan, Wenwei Xu, Natalia de Leon
Objectives: The Genomes to Fields (G2F) 2022 Maize Genotype by Environment (G x E) Prediction Competition aimed to develop models for predicting grain yield for the 2022 Maize G x E project field trials, leveraging the datasets previously generated b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d05f14144921b9bfc5847dd4ff9cca2
https://doi.org/10.21203/rs.3.rs-2973451/v1
https://doi.org/10.21203/rs.3.rs-2973451/v1
Autor:
Dayane Cristina Lima, Alejandro Castro Aviles, Ryan Timothy Alpers, Bridget A. McFarland, Shawn Kaeppler, David Ertl, Maria Cinta Romay, Joseph L. Gage, James Holland, Timothy Beissinger, Martin Bohn, Edward Buckler, Jode Edwards, Sherry Flint-Garcia, Candice N. Hirsch, Elizabeth Hood, David C. Hooker, Joseph E. Knoll, Judith M. Kolkman, Sanzhen Liu, John McKay, Richard Minyo, Danilo E. Moreta, Seth C. Murray, Rebecca Nelson, James C. Schnable, Rajandeep S. Sekhon, Maninder P. Singh, Peter Thomison, Addie Thompson, Mitchell Tuinstra, Jason Wallace, Jacob D. Washburn, Teclemariam Weldekidan, Randall J. Wisser, Wenwei Xu, Natalia de Leon
Publikováno v:
BMC Genomic Data. 24
Objectives This report provides information about the public release of the 2018–2019 Maize G X E project of the Genomes to Fields (G2F) Initiative datasets. G2F is an umbrella initiative that evaluates maize hybrids and inbred lines across multipl
Autor:
Dayane Cristina Lima, Alejandro Castro Aviles, Ryan Timothy Alpers, Alden Perkins, Dylan L. Schoemaker, Martin Costa, Shawn Kaeppler, David Ertl, Maria Cinta Romay, Joseph L. Gage, James Holland, Timothy Beissinger, Martin Bohn, Edward Buckler, Jode Edwards, Sherry Flint-Garcia, Michael A. Gore, Candice N. Hirsch, Joseph E. Knoll, John McKay, Richard Minyo, Seth C. Murray, James Schnable, Rajandeep S. Sekhon, Maninder P. Singh, Erin E. Sparks, Peter Thomison, Addie Thompson, Mitchell Tuinstra, Jason Wallace, Jacob Washburn, Teclemariam Weldekidan, Wenwei Xu, Natalia de Leon
Objectives: This release note describes the Maize G x E project datasets within the Genomes to Fields (G2F) Initiative. The Maize G x E project aims to understand genotype by environment (G × E) interactions and use the information collected to impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c4e532bb55438ea541bc672d771cce4
https://doi.org/10.21203/rs.3.rs-2908766/v1
https://doi.org/10.21203/rs.3.rs-2908766/v1
Publikováno v:
Agronomy; Volume 13; Issue 3; Pages: 801
11 páginas, 4 tablas, 1 figura
High-yielding cultivars with high water use efficiency are a main target in maize breeding; yet, no comprehensive study about the genetic regulation of photosynthesis, or about the ranges of variability for gas ex
High-yielding cultivars with high water use efficiency are a main target in maize breeding; yet, no comprehensive study about the genetic regulation of photosynthesis, or about the ranges of variability for gas ex
Autor:
Merritt Khaipho-Burch, Taylor Ferebee, Anju Giri, Guillaume Ramstein, Brandon Monier, Emily Yi, M. Cinta Romay, Edward S. Buckler
Publikováno v:
Khaipho-Burch, M, Ferebee, T, Giri, A, Ramstein, G, Monier, B, Yi, E, Cinta Romay, M & Buckler, E S 2023, ' Elucidating the patterns of pleiotropy and its biological relevance in maize ', PLOS Genetics, vol. 19, no. 3, e1010664 . https://doi.org/10.1371/journal.pgen.1010664
Pleiotropy - when a single gene controls two or more seemingly unrelated traits - has been shown to impact genes with effects on flowering time, leaf architecture, and inflorescence morphology in maize. However, the genome-wide impact of true biologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18ac71198029cad1df26c1ba545c8eae
https://pure.au.dk/portal/da/publications/elucidating-the-patterns-of-pleiotropy-and-its-biological-relevance-in-maize(507419aa-0ab4-4f51-8e72-ca4bbbb38680).html
https://pure.au.dk/portal/da/publications/elucidating-the-patterns-of-pleiotropy-and-its-biological-relevance-in-maize(507419aa-0ab4-4f51-8e72-ca4bbbb38680).html
Autor:
Jeremy Pardo, Ching Man Wai, Maxwell Harman, Annie Nguyen, Karl A. Kremling, Maria Cinta Romay, Nicholas Lepak, Taryn L. Bauerle, Edward S. Buckler, Addie M. Thompson, Robert VanBuren
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Drought tolerance is a highly complex trait controlled by numerous interconnected pathways with substantial variation within and across plant species. This complexity makes it difficult to distill individual genetic loci underlying tolerance, and to