Search Results - Gore, Michael A.

Wild relatives of potato may bolster its adaptation to new niches under future climate scenarios by Fumia, Nathan, Pironon, Samuel, Rubinoff, Daniel, Khoury, Colin K., Gore, Michael A., Kantar, Michael B.

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Interactions between breeding system and ploidy affect niche breadth in Solanum by Fumia, Nathan, Rubinoff, Daniel, Zenil-Ferguson, Rosana, Khoury, Colin K., Pironon, Samuel, Gore, Michael A., Kantar, Michael B.

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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

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Genomic prediction of tocochromanols in exotic-derived maize by Tibbs-Cortes, Laura E., Guo, Tingting, Li, Xianran, Tanaka, Ryokei, Vanous, Adam E., Peters, David, Gardner, Candice, Magallanes-Lundback, Maria, Deason, Nicholas T., DellaPenna, Dean, Gore, Michael A., Yu, Jianming

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Science–graphic art partnerships to increase research impact by Khoury, Colin K., Kisel, Yael, Kantar, Michael B., Barber, Ellie, Ricciardi, Vincent, Klirs, Carni, Kucera, Leah, Mehrabi, Zia, Johnson, Nathanael, Klabin, Simone, Valiño, Álvaro, Nowakowski, Kelsey, Bartomeus, Ignasi, Ramankutty, Navin, Miller, Allison, Schipanski, Meagan, Gore, Michael A., Novy, Ari

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Data from: Science-graphic art partnerships to increase research impact by Khoury, Colin K., Kisel, Yael, Kantar, Michael B., Barber, Ellie, Ricciardi, Vincent, Klirs, Carni, Kucera, Leah, Mehrabi, Zia, Johnson, Nathanael, Klabin, Simone, Valiño, Álvaro, Nowakowski, Kelsey, Bartomeus, Ignasi, Ramankutty, Navin, Miller, Allison, Schipanski, Meagan, Gore, Michael A., Novy, Ari

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Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain by Tanaka, Ryokei, Wu, Di, Li, Xiaowei, Tibbs-Cortes, Laura E., Wood, Joshua C., Magallanes-Lundback, Maria, Bornowski, Nolan, Hamilton, John P., Vaillancourt, Brieanne, Li, Xianran, Deason, Nicholas T., Schoenbaum, Gregory R., Buell, Robin C., DellaPenna, Dean, Yu, Jianming, Gore, Michael A.

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Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain by Wu, Di, Li, Xiaowei, Tanaka, Ryokei, Wood, Joshua C., Tibbs-Cortes, Laura E., Magallanes-Lundback, Maria, Bornowski, Nolan, Hamilton, John P., Vaillancourt, Brieanne, Diepenbrock, Christine H., Li, Xianran, Deason, Nicholas T., Schoenbaum, Gregory R., Yu, Jianming, Buell, C. Robin, DellaPenna, Dean, Gore, Michael A.

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Breedbase: a digital ecosystem for modern plant breeding by Morales, Nicolas, Ogbonna, Alex C., Ellerbrock, Bryan J., Bauchet, Guillaume J., Tantikanjana, Titima, Tecle, Isaak Y., Powell, Adrian F., Lyon, David, Menda, Naama, Simoes, Christiano C., Saha, Surya, Hosmani, Prashant, Flores, Mirella, Panitz, Naftali, Preble, Ryan S., Agbona, Afolabi, Rabbi, Ismail, Kulakow, Peter A., Peteti, Prasad, Kawuki, Robert, Esuma, Williams, Kanaabi, Micheal, Chelangat, Doreen M., Uba, Ezenwanyi, Olojede, Adeyemi, Onyeka, Joseph, Shah, Trushar, Karanja, Margaret, Egesi, Chiedozie N., Tufan, Hale Ann, Paterne, Agre, Asfaw, Asrat, Jannink, Jean-Luc, Wolfe, Marnin, Birkett, Clay L., Waring, David J., Hershberger, Jenna M., Gore, Michael A., Robbins, Kelly R., Rife, Trevor, Courtney, Chaney, Poland, Jesse A., Arnaud, Elizabeth, Laporte, Marie-Angélique, Kulembeka, Heneriko, Salum, Kasele, Mrema, Emmanuel, Brown, Allan, Bayo, Stanley, Uwimana, Brigitte, Akech, Violet, Yencho, Craig, Boeck, Bert de, Campos, Hugo, Swennen, Rony L., Edwards, Jeremy D., Mueller, Lukas A.

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