Resultados de búsqueda - Gore, Michael A.

Wild relatives of potato may bolster its adaptation to new niches under future climate scenarios por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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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