Search Results - "Ertl, David"

Embryo-specific silencing of a transporter reduces phytic acid content of maize and soybean seeds by Meeley, Robert B, Schellin, Kathleen, Stoop, Johan M, Glassman, Kimberly, Faller, Marianna, Ertl, David S, Li, Bailin, Shi, Jinrui, Ranch, Jerry P, Wang, Hongyu

“…Phytic acid in cereal grains and oilseeds is poorly digested by monogastric animals and negatively affects animal nutrition and the environment. However,…”
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The effect of artificial selection on phenotypic plasticity in maize by Gage, Joseph L., Jarquin, Diego, Romay, Cinta, Lorenz, Aaron, Buckler, Edward S., Kaeppler, Shawn, Alkhalifah, Naser, Bohn, Martin, Campbell, Darwin A., Edwards, Jode, Ertl, David, Flint-Garcia, Sherry, Gardiner, Jack, Good, Byron, Hirsch, Candice N., Holland, Jim, Hooker, David C., Knoll, Joseph, Kolkman, Judith, Kruger, Greg, Lauter, Nick, Lawrence-Dill, Carolyn J., Lee, Elizabeth, Lynch, Jonathan, Murray, Seth C., Nelson, Rebecca, Petzoldt, Jane, Rocheford, Torbert, Schnable, James, Schnable, Patrick S., Scully, Brian, Smith, Margaret, Springer, Nathan M., Srinivasan, Srikant, Walton, Renee, Weldekidan, Teclemariam, Wisser, Randall J., Xu, Wenwei, Yu, Jianming, de Leon, Natalia

“…Remarkable productivity has been achieved in crop species through artificial selection and adaptation to modern agronomic practices. Whether intensive…”
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Current challenges and future of agricultural genomes to phenomes in the USA by Tuggle, Christopher K, Clarke, Jennifer L, Murdoch, Brenda M, Lyons, Eric, Scott, Nicole M, Beneš, Bedrich, Campbell, Jacqueline D, Chung, Henri, Daigle, Courtney L, Das Choudhury, Sruti, Dekkers, Jack C M, Dórea, Joao R R, Ertl, David S, Feldman, Max, Fragomeni, Breno O, Fulton, Janet E, Guadagno, Carmela R, Hagen, Darren E, Hess, Andrew S, Kramer, Luke M, Lawrence-Dill, Carolyn J, Lipka, Alexander E, Lübberstedt, Thomas, McCarthy, Fiona M, McKay, Stephanie D, Murray, Seth C, Riggs, Penny K, Rowan, Troy N, Sheehan, Moira J, Steibel, Juan P, Thompson, Addie M, Thornton, Kara J, Van Tassell, Curtis P, Schnable, Patrick S

“…Dramatic improvements in measuring genetic variation across agriculturally relevant populations (genomics) must be matched by improvements in identifying and…”
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The Agricultural Genome to Phenome Initiative (AG2PI): creating a shared vision across crop and livestock research communities by Tuggle, Christopher K, Clarke, Jennifer, Dekkers, Jack C M, Ertl, David, Lawrence-Dill, Carolyn J, Lyons, Eric, Murdoch, Brenda M, Scott, Nicole M, Schnable, Patrick S

“…Towards these ends, this AG2PI project is organizing virtual field days, conferences, training workshops, and awarding seed grants to conceive new insights…”
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Utility of Climatic Information via Combining Ability Models to Improve Genomic Prediction for Yield Within the Genomes to Fields Maize Project by Jarquin, Diego, de Leon, Natalia, Romay, Cinta, Bohn, Martin, Buckler, Edward S, Ciampitti, Ignacio, Edwards, Jode, Ertl, David, Flint-Garcia, Sherry, Gore, Michael A, Graham, Christopher, Hirsch, Candice N, Holland, James B, Hooker, David, Kaeppler, Shawn M, Knoll, Joseph, Lee, Elizabeth C, Lawrence-Dill, Carolyn J, Lynch, Jonathan P, Moose, Stephen P, Murray, Seth C, Nelson, Rebecca, Rocheford, Torbert, Schnable, James C, Schnable, Patrick S, Smith, Margaret, Springer, Nathan, Thomison, Peter, Tuinstra, Mitch, Wisser, Randall J, Xu, Wenwei, Yu, Jianming, Lorenz, Aaron

“…Genomic prediction provides an efficient alternative to conventional phenotypic selection for developing improved cultivars with desirable characteristics. New…”
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The Maize Low-Phytic Acid Mutant lpa2 Is Caused by Mutation in an Inositol Phosphate Kinase Gene by Shi, Jinrui, Wang, Hongyu, Yunsheng Wu, Hazebroek, Jan, Meeley, Robert B., David S. Ertl

“…Reduced phytic acid content in seeds is a desired goal for genetic improvement in several crops. Low-phytic acid mutants have been used in genetic breeding,…”
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Ten simple rules to ruin a collaborative environment by Lawrence-Dill, Carolyn J, Allscheid, Robyn L, Boaitey, Albert, Bauman, Todd, Buckler, 4th, Edward S, Clarke, Jennifer L, Cullis, Christopher, Dekkers, Jack, Dorius, Cassandra J, Dorius, Shawn F, Ertl, David, Homann, Matthew, Hu, Guiping, Losch, Mary, Lyons, Eric, Murdoch, Brenda, Navabi, Zahra-Katy, Punnuri, Somashekhar, Rafiq, Fahad, Reecy, James M, Schnable, Patrick S, Scott, Nicole M, Sheehan, Moira, Sirault, Xavier, Staton, Margaret, Tuggle, Christopher K, Van Eenennaam, Alison, Voas, Rachael

“…The ideas contained in this work were developed during two virtual meetings of members of the Agricultural Genome to Phenome Initiative (AG2PI; www.ag2pi.org)…”
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Yield prediction through integration of genetic, environment, and management data through deep learning by Kick, Daniel R, Wallace, Jason G, Schnable, James C, Kolkman, Judith M, Alaca, Barış, Beissinger, Timothy M, Edwards, Jode, Ertl, David, Flint-Garcia, Sherry, Gage, Joseph L, Hirsch, Candice N, Knoll, Joseph E, de Leon, Natalia, Lima, Dayane C, Moreta, Danilo E, Singh, Maninder P, Thompson, Addie, Weldekidan, Teclemariam, Washburn, Jacob D

“…Abstract Accurate prediction of the phenotypic outcomes produced by different combinations of genotypes, environments, and management interventions remains a…”
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2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative by Lima, Dayane Cristina, Aviles, Alejandro Castro, Alpers, Ryan Timothy, Perkins, Alden, Schoemaker, Dylan L, Costa, Martin, Michel, Kathryn J, Kaeppler, Shawn, Ertl, David, Romay, Maria Cinta, Gage, Joseph L, Holland, James, Beissinger, Timothy, Bohn, Martin, Buckler, Edward, Edwards, Jode, Flint-Garcia, Sherry, Gore, Michael A, Hirsch, Candice N, Knoll, Joseph E, McKay, John, Minyo, Richard, Murray, Seth C, Schnable, James, Sekhon, Rajandeep S, Singh, Maninder P, Sparks, Erin E, Thomison, Peter, Thompson, Addie, Tuinstra, Mitchell, Wallace, Jason, Washburn, Jacob D, Weldekidan, Teclemariam, Xu, Wenwei, de Leon, Natalia

“…Abstract Objectives This release note describes the Maize GxE project datasets within the Genomes to Fields (G2F) Initiative. The Maize GxE project aims to…”
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maize low-phytic acid 3 encodes a myo-inositol kinase that plays a role in phytic acid biosynthesis in developing seeds by Shi, J, Wang, H, Hazebroek, J, Ertl, D.S, Harp, T

“…Phytic acid, myo-inositol-1,2,3,4,5,6-hexakis phosphate or Ins P6, is the most abundant myo-inositol phosphate in plant cells, but its biosynthesis is poorly…”
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Genomes to Fields 2022 Maize genotype by Environment Prediction Competition by Lima, Dayane Cristina, Washburn, Jacob D, Varela, José Ignacio, Chen, Qiuyue, Gage, Joseph L, Romay, Maria Cinta, Holland, James, Ertl, David, Lopez-Cruz, Marco, Aguate, Fernando M, de Los Campos, Gustavo, Kaeppler, Shawn, Beissinger, Timothy, Bohn, Martin, Buckler, Edward, Edwards, Jode, Flint-Garcia, Sherry, Gore, Michael A, Hirsch, Candice N, Knoll, Joseph E, McKay, John, Minyo, Richard, Murray, Seth C, Ortez, Osler A, Schnable, James C, Sekhon, Rajandeep S, Singh, Maninder P, Sparks, Erin E, Thompson, Addie, Tuinstra, Mitchell, Wallace, Jason, Weldekidan, Teclemariam, Xu, Wenwei, de Leon, Natalia

“…The Genomes to Fields (G2F) 2022 Maize Genotype by Environment (GxE) Prediction Competition aimed to develop models for predicting grain yield for the 2022…”
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Origin and Seed Phenotype of Maize low Phytic Acid 1-1 and Low Phytic Acid 2-1 by Raboy, Victor, Paola F. Gerbasi, Kevin A. Young, Sierra D. Stoneberg, Suewiya G. Pickett, Andrew T. Bauman, Pushpalatha P. N. Murthy, Sheridan, William F., David S. Ertl

“…Phytic acid (myo-inositol-1, 2, 3, 4, 5, 6-hexakisphosphate or Ins P6) typically represents approximately 75% to 80% of maize (Zea mays) seed total P. Here we…”
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72 The AG2pi Vision for Resources in Agricultural Genomics and Phenomics: How Asas Can Contribute by Tuggle, Christopher K, Scott, Nicole, Clarke, Jennifer, Murdoch, Brenda M, Dekkers, Jack C M, Ertl, David, Lyons, Eric, Lawrence-Dill, Carolyn J, Schnable, Patrick S

“…Abstract To meet the challenges of an increasing global population and multiple environmental stressors on agricultural production, it is essential to better…”
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175 Building the Tools to Solve the Genome to Phenome Puzzle in Agriculture by Tuggle, Christopher K, Scott, Nicole, Clarke, Jennifer, Murdoch, Brenda M, Dekkers, Jack C M, Ertl, David, Lawrence-Dill, Carolyn J, Lyons, Eric, Schnable, Patrick S

“…Abstract The USDA-NIFA is developing a vision for agricultural genomics to phenomics research (AG2P) through two programs. In 2017, the Functional Annotation…”
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Data‐driven identification of environmental variables influencing phenotypic plasticity to facilitate breeding for future climates by Kusmec, Aaron, Yeh, Cheng‐Ting ‘Eddy’, Bohn, Martin O., Campbell, Darwin A., Ciampitti, Ignacio A., Ertl, David S., Flint‐Garcia, Sherry A., Gore, Michael A., Hirsch, Candice N., Kaeppler, Shawn M., Knoll, Joseph E., Kolkman, Judith M., Lauter, Nick, Lawrence‐Dill, Carolyn J., Lee, Elizabeth C., Leon, Natalia, Liu, Sanzhen, Lorence, Argelia, Schnable, James C., Sekhon, Rajandeep S., Silverstein, Kevin A. T., Thelen, Kurt D., Wallace, Jason G., Weldekidan, Teclemariam, Wills, David M., Wisser, Randall J., Schnable, Patrick S.

“…Summary Phenotypic plasticity describes a genotype's ability to produce different phenotypes in response to different environments. Breeding crops that exhibit…”
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The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment by Rogers, Anna R, Dunne, Jeffrey C, Romay, Cinta, Bohn, Martin, Buckler, Edward S, Ciampitti, Ignacio A, Edwards, Jode, Ertl, David, Flint-Garcia, Sherry, Gore, Michael A, Graham, Christopher, Hirsch, Candice N, Hood, Elizabeth, Hooker, David C, Knoll, Joseph, Lee, Elizabeth C, Lorenz, Aaron, Lynch, Jonathan P, McKay, John, Moose, Stephen P, Murray, Seth C, Nelson, Rebecca, Rocheford, Torbert, Schnable, James C, Schnable, Patrick S, Sekhon, Rajandeep, Singh, Maninder, Smith, Margaret, Springer, Nathan, Thelen, Kurt, Thomison, Peter, Thompson, Addie, Tuinstra, Mitch, Wallace, Jason, Wisser, Randall J, Xu, Wenwei, Gilmour, A R, Kaeppler, Shawn M, De Leon, Natalia, Holland, James B

“…Abstract High-dimensional and high-throughput genomic, field performance, and environmental data are becoming increasingly available to crop breeding programs,…”
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Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds by Falcon, Celeste M., Kaeppler, Shawn M., Spalding, Edgar P., Miller, Nathan D., Haase, Nicholas, AlKhalifah, Naser, Bohn, Martin, Buckler, Edward S., Campbell, Darwin A., Ciampitti, Ignacio, Coffey, Lisa, Edwards, Jode, Ertl, David, Flint‐Garcia, Sherry, Gore, Michael A., Graham, Christopher, Hirsch, Candice N., Holland, James B., Jarquín, Diego, Knoll, Joseph, Lauter, Nick, Lawrence‐Dill, Carolyn J., Lee, Elizabeth C., Lorenz, Aaron, Lynch, Jonathan P., Murray, Seth C., Nelson, Rebecca, Romay, M. Cinta, Rocheford, Torbert, Schnable, Patrick S., Scully, Brian, Smith, Margaret, Springer, Nathan, Tuinstra, Mitchell R., Walton, Renee, Weldekidan, Teclemariam, Wisser, Randall J., Xu, Wenwei, Leon, Natalia

“…Plant breeders face the challenge of genotype × environment interaction (G × E) in comprehensively breeding for expanded geographic regions. An improved…”
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Ten simple rules to ruin a collaborative environment by 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

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Maize genomes to fields (G2F): 2014-2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets by McFarland, Bridget A, AlKhalifah, Naser, Bohn, Martin, Bubert, Jessica, Buckler, Edward S, Ciampitti, Ignacio, Edwards, Jode, Ertl, David, Gage, Joseph L, Falcon, Celeste M, Flint-Garcia, Sherry, Gore, Michael A, Graham, Christopher, Hirsch, Candice N, Holland, James B, Hood, Elizabeth, Hooker, David, Jarquin, Diego, Kaeppler, Shawn M, Knoll, Joseph, Kruger, Greg, Lauter, Nick, Lee, Elizabeth C, Lima, Dayane C, Lorenz, Aaron, Lynch, Jonathan P, McKay, John, Miller, Nathan D, Moose, Stephen P, Murray, Seth C, Nelson, Rebecca, Poudyal, Christina, Rocheford, Torbert, Rodriguez, Oscar, Romay, Maria Cinta, Schnable, James C, Schnable, Patrick S, Scully, Brian, Sekhon, Rajandeep, Silverstein, Kevin, Singh, Maninder, Smith, Margaret, Spalding, Edgar P, Springer, Nathan, Thelen, Kurt, Thomison, Peter, Tuinstra, Mitchell, Wallace, Jason, Walls, Ramona, Wills, David, Wisser, Randall J, Xu, Wenwei, Yeh, Cheng-Ting, de Leon, Natalia

“…Advanced tools and resources are needed to efficiently and sustainably produce food for an increasing world population in the context of variable environmental…”
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Erratum to: Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds by Falcon, Celeste M., Kaeppler, Shawn M., Spalding, Edgar P., Miller, Nathan D., Haase, Nicholas, AlKhalifah, Naser, Bohn, Martin, Buckler, Edward S., Campbell, Darwin A., Ciampitti, Ignacio, Coffey, Lisa, Edwards, Jode, Ertl, David, Flint‐Garcia, Sherry, Gore, Michael A., Graham, Christopher, Hirsch, Candice N., Holland, James B., Jarquín, Diego, Knoll, Joseph, Lauter, Nick, Lawrence‐Dill, Carolyn J., Lee, Elizabeth C., Lorenz, Aaron, Lynch, Jonathan P., Murray, Seth C., Nelson, Rebecca, Romay, M. Cinta, Rocheford, Torbert, Schnable, Patrick S., Scully, Brian, Smith, Margaret, Springer, Nathan, Tuinstra, Mitchell R., Walton, Renee, Weldekidan, Teclemariam, Wisser, Randall J., Xu, Wenwei, Leon, Natalia

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