Search Results - "GORE, Michael"

Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning by DeChant, Chad, Wiesner-Hanks, Tyr, Chen, Siyuan, Stewart, Ethan L, Yosinski, Jason, Gore, Michael A, Nelson, Rebecca J, Lipson, Hod

“…Northern leaf blight (NLB) can cause severe yield loss in maize; however, scouting large areas to accurately diagnose the disease is time consuming and…”
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GAPIT: genome association and prediction integrated tool by LIPKA, Alexander E, FENG TIAN, WANG, Oishan, PEIFFER, Jason, MENG LI, BRADBURY, Peter J, GORE, Michael A, BUCKLER, Edward S, ZHIWU ZHANG

“…Software programs that conduct genome-wide association studies and genomic prediction and selection need to use methodologies that maximize statistical power,…”
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Genome-Wide Association Study in New York Phytophthora capsici Isolates Reveals Loci Involved in Mating Type and Mefenoxam Sensitivity by Vogel, Gregory, Gore, Michael A, Smart, Christine D

“…is a soilborne oomycete plant pathogen that causes severe vegetable crop losses in New York (NY) state and worldwide. This pathogen is difficult to manage, in…”
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Mixed linear model approach adapted for genome-wide association studies by Zhang, Zhiwu, Ersoz, Elhan, Lai, Chao-Qiang, Todhunter, Rory J, Tiwari, Hemant K, Gore, Michael A, Bradbury, Peter J, Yu, Jianming, Arnett, Donna K, Ordovas, Jose M, Buckler, Edward S

“…Zhiwu Zhang and colleagues report a mixed linear model approach for correcting for population structure and family relatedness in genome-wide association…”
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genetic architecture of maize height by Peiffer, Jason A, Romay, Maria C, Gore, Michael A, Flint-Garcia, Sherry A, Zhang, Zhiwu, Millard, Mark J, Gardner, Candice A. C, McCullen, Michael D, Holland, James B, Bradbury, Peter J, Buckler, Edward S

“…Height is one of the most heritable and easily measured traits in maize (Zea mays L.). Given a pedigree or estimates of the genomic identity-by-state (IBS)…”
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Image set for deep learning: field images of maize annotated with disease symptoms by Wiesner-Hanks, Tyr, Stewart, Ethan L, Kaczmar, Nicholas, DeChant, Chad, Wu, Harvey, Nelson, Rebecca J, Lipson, Hod, Gore, Michael A

“…Automated detection and quantification of plant diseases would enable more rapid gains in plant breeding and faster scouting of farmers' fields. However, it is…”
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Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data by Wiesner-Hanks, Tyr, Wu, Harvey, Stewart, Ethan, DeChant, Chad, Kaczmar, Nicholas, Lipson, Hod, Gore, Michael A, Nelson, Rebecca J

“…Computer vision models that can recognize plant diseases in the field would be valuable tools for disease management and resistance breeding. Generating enough…”
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A combined BSA-Seq and linkage mapping approach identifies genomic regions associated with Phytophthora root and crown rot resistance in squash by Vogel, Gregory, LaPlant, Kyle E., Mazourek, Michael, Gore, Michael A., Smart, Christine D.

“…Key message Two QTL mapping approaches were used to identify a total of six QTL associated with Phytophthora root and crown rot resistance in a biparental…”
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From association to prediction: statistical methods for the dissection and selection of complex traits in plants by Lipka, Alexander E, Kandianis, Catherine B, Hudson, Matthew E, Yu, Jianming, Drnevich, Jenny, Bradbury, Peter J, Gore, Michael A

“…•Controlling for spurious associations in statistical models is essential.•Computationally efficient approaches are critical for large data sets.•Statistical…”
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Network-Guided GWAS Improves Identification of Genes Affecting Free Amino Acids by Angelovici, Ruthie, Batushansky, Albert, Deason, Nicholas, Gonzalez-Jorge, Sabrina, Gore, Michael A., Fait, Aaron, DellaPenna, Dean

“…Amino acids are essential for proper growth and development in plants. Amino acids serve as building blocks for proteins but also are important for responses…”
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The patterns of deleterious mutations during the domestication of soybean by Kim, Myung-Shin, Lozano, Roberto, Kim, Ji Hong, Bae, Dong Nyuk, Kim, Sang-Tae, Park, Jung-Ho, Choi, Man Soo, Kim, Jaehyun, Ok, Hyun-Choong, Park, Soo-Kwon, Gore, Michael A., Moon, Jung-Kyung, Jeong, Soon-Chun

“…Globally, soybean is a major protein and oil crop. Enhancing our understanding of the soybean domestication and improvement process helps boost…”
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First-Generation Haplotype Map of Maize by Gore, Michael A, Chia, Jer-Ming, Elshire, Robert J, Sun, Qi, Ersoz, Elhan S, Hurwitz, Bonnie L, Peiffer, Jason A, McMullen, Michael D, Grills, George S, Ross-Ibarra, Jeffrey, Ware, Doreen H, Buckler, Edward S

“…Maize is an important crop species of high genetic diversity. We identified and genotyped several million sequence polymorphisms among 27 diverse maize inbred…”
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A foundation for provitamin A biofortification of maize: genome-wide association and genomic prediction models of carotenoid levels by Owens, Brenda F, Lipka, Alexander E, Magallanes-Lundback, Maria, Tiede, Tyler, Diepenbrock, Christine H, Kandianis, Catherine B, Kim, Eunha, Cepela, Jason, Mateos-Hernandez, Maria, Buell, C Robin, Buckler, Edward S, DellaPenna, Dean, Gore, Michael A, Rocheford, Torbert

“…Efforts are underway for development of crops with improved levels of provitamin A carotenoids to help combat dietary vitamin A deficiency. As a global staple…”
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Genome-Wide Analysis of Branched-Chain Amino Acid Levels in Arabidopsis Seeds by Angelovici, Ruthie, Lipka, Alexander E., Deason, Nicholas, Gonzalez-Jorge, Sabrina, Lin, Haining, Cepela, Jason, Buell, Robin, Gore, Michael A., DellaPenna, Dean

“…Branched-chain amino acids (BCAAs) are three of the nine essential amino acids in human and animal diets and are important for numerous processes in…”
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Field-based phenomics for plant genetics research by White, Jeffrey W., Andrade-Sanchez, Pedro, Gore, Michael A., Bronson, Kevin F., Coffelt, Terry A., Conley, Matthew M., Feldmann, Kenneth A., French, Andrew N., Heun, John T., Hunsaker, Douglas J., Jenks, Matthew A., Kimball, Bruce A., Roth, Robert L., Strand, Robert J., Thorp, Kelly R., Wall, Gerard W., Wang, Guangyao

“…► Identifying genetic markers for yield requires rapid quantification of crop traits. ► Proximal sensing offers promise for field-based phenotyping (FBP). ►…”
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Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning by Stewart, Ethan L., Wiesner-Hanks, Tyr, Kaczmar, Nicholas, DeChant, Chad, Wu, Harvey, Lipson, Hod, Nelson, Rebecca J., Gore, Michael A.

“…Plant disease poses a serious threat to global food security. Accurate, high-throughput methods of quantifying disease are needed by breeders to better develop…”
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Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions by Ferguson, John N, Fernandes, Samuel B, Monier, Brandon, Miller, Nathan D, Allen, Dylan, Dmitrieva, Anna, Schmuker, Peter, Lozano, Roberto, Valluru, Ravi, Buckler, Edward S, Gore, Michael A, Brown, Patrick J, Spalding, Edgar P, Leakey, Andrew D B

“…Sorghum (Sorghum bicolor) is a model C4 crop made experimentally tractable by extensive genomic and genetic resources. Biomass sorghum is studied as a…”
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The Quest for Understanding Phenotypic Variation via Integrated Approaches in the Field Environment by Pauli, Duke, Chapman, Scott C., Bart, Rebecca, Topp, Christopher N., Lawrence-Dill, Carolyn J., Poland, Jesse, Gore, Michael A.

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Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat by Krause, Margaret R, González-Pérez, Lorena, Crossa, José, Pérez-Rodríguez, Paulino, Montesinos-López, Osval, Singh, Ravi P, Dreisigacker, Susanne, Poland, Jesse, Rutkoski, Jessica, Sorrells, Mark, Gore, Michael A, Mondal, Suchismita

“…Hyperspectral reflectance phenotyping and genomic selection are two emerging technologies that have the potential to increase plant breeding efficiency by…”
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Decreased CO2 availability and inactivation of Rubisco limit photosynthesis in cotton plants under heat and drought stress in the field by Carmo-Silva, A. Elizabete, Gore, Michael A., Andrade-Sanchez, Pedro, French, Andrew N., Hunsaker, Doug J., Salvucci, Michael E.

“…► Cotton plants were subjected to drought and heat stress under field conditions. ► Both drought and heat stresses were associated with water availability. ►…”
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