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13. A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations

Author

Guarin, Jose, primary, Martre, Pierre, additional, Ewert, Frank, additional, Webber, Heidi, additional, Dueri, Sibylle, additional, Calderini, Daniel, additional, Reynolds, Matthew, additional, Molero, Gemma, additional, Miralles, Daniel, additional, Garcia, Guillermo, additional, Slafer, Gustavo, additional, Giunta, Francesco, additional, Pequeno, Diego, additional, Stella, Tommaso, additional, Ahmed, Mukhtar, additional, Alderman, Phillip, additional, Basso, Bruno, additional, Berger, Andres, additional, Bindi, Marco, additional, Bracho-Mujica, Gennady, additional, Cammarano, Davide, additional, Chen, Yi, additional, Dumont, Benjamin, additional, Eyshi Rezaei, Ehsan, additional, Fereres, Elias, additional, Ferrise, Roberto, additional, Gaiser, Thomas, additional, Gao, Yujing, additional, Garcia-Vila, Margarita, additional, Gayler, Sebastian, additional, Hochman, Zvi, additional, Hoogenboom, Gerrit, additional, Hunt, Leslie, additional, Kersebaum, Kurt, additional, Nendel, Claas, additional, Olesen, Jorgen, additional, Palosuo, Taru, additional, Priesack, Eckart, additional, Pullens, Johannes, additional, Rodriguez, Alfredo, additional, Rotter, Reimund, additional, Ruiz Ramos, Margarita, additional, Semenov, Mikhail, additional, Senapati, Nimai, additional, Siebert, Stefan, additional, Srivastava, Amit, additional, Stockle, Claudio, additional, Supit, Iwan, additional, Tao, Fulu, additional, Thorburn, Peter, additional, Wang, Enli, additional, Weber, Tobias, additional, Xiao, Liujun, additional, Zhang, Zhao, additional, Zhao, Chuang, additional, Zhao, Jin, additional, Zhao, Zhigan, additional, Zhu, Yan, additional, and Asseng, Senthold, additional

Published
2023
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15. AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat

Author

Liu, Bing, primary, Martre, Pierre, additional, Ewert, Frank, additional, Webber, Heidi, additional, Waha, Katharina, additional, Thorburn, Peter J., additional, Ruane, Alex C., additional, Aggarwal, Pramod K., additional, Ahmed, Mukhtar, additional, Balkovič, Juraj, additional, Basso, Bruno, additional, Biernath, Christian, additional, Bindi, Marco, additional, Cammarano, Davide, additional, Cao, Weixing, additional, Challinor, Andy J., additional, Sanctis, Giacomo De, additional, Dumont, Benjamin, additional, Espadafor, Mónica, additional, Rezaei, Ehsan Eyshi, additional, Fereres, Elias, additional, Ferrise, Roberto, additional, Garcia-Vila, Margarita, additional, Gayler, Sebastian, additional, Gao, Yujing, additional, Horan, Heidi, additional, Hoogenboom, Gerrit, additional, Izaurralde, Roberto C., additional, Jabloun, Mohamed, additional, Jones, Curtis D., additional, Kassie, Belay T., additional, Kersebaum, Kurt C., additional, Klein, Christian, additional, Koehler, Ann-Kristin, additional, Maiorano, Andrea, additional, Minoli, Sara, additional, Martin, Manuel Montesino San, additional, Müller, Christoph, additional, Kumar, Soora Naresh, additional, Nendel, Claas, additional, O’Leary, Garry J., additional, Olesen, Jørgen Eivind, additional, Palosuo, Taru, additional, Porter, John R., additional, Priesack, Eckart, additional, Ripoche, Dominique, additional, Rötter, Reimund P., additional, Semenov, Mikhail A., additional, Stöckle, Claudio, additional, Stratonovitch, Pierre, additional, Streck, Thilo, additional, Supit, Iwan, additional, Tao, Fulu, additional, Velde, Marijn Van der, additional, Wang, Enli, additional, Wolf, Joost, additional, Xiao, Liujun, additional, Zhang, Zhao, additional, Zhao, Zhigan, additional, Zhu, Yan, additional, and Asseng, Senthold, additional

Published
2023
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16. Colorectal Cancer Stage at Diagnosis Before vs During the COVID-19 Pandemic in Italy

Author

Rottoli, Matteo, Gori, Alice, Pellino, Gianluca, Flacco, Maria Elena, Martellucci, Cecilia, Spinelli, Antonino, Poggioli, Gilberto, Romano, Angela, Belvedere, Angela, Lanci Lanci, Antonio, Parlanti, Daniele, Vago, Gabriele, Pezzuto, Paola, Canavese, Anna, Dajti, Gerti, Cardelli, Stefano, Catalioto, Caterina, Russo, Iris S, Violante, Tommaso, Morezzi, Daniele, Maurino, Ludovica, Filippone, Eleonora, Cuicchi, Dajana, Bernante, Paolo, Jovine, Elio, Lombardi, Raffaele, Masetti, Michele, Cipressi, Chiara, Offi, Maria F, Larotonda, Cristina, Puglisi, Silvana B, Barbosa, Augusto, Vaiana, Roberto, Bianchi, Paolo M, Tonti, Carlo, Codignola, Claudio, Zorcolo, Luigi, Restivo, Angelo, Deidda, Simona, Marchetti, Marcello E, Ippolito, Luca, Spolverato, Gaya, Pucciarelli, Salvatore, Marchegiani, Francesco, Ghio, Giacomo, Zagolin, Gaya, Glavas, Dajana, Tomassi, Monica, Rosati, Riccardo, Elmore, Ugo, Gozzini, Lorenzo, Calef, Riccardo, Puccetti, Francesco, Cossu, Andrea, Vignali, Andrea, Morino, Mario, Allaix, Marco E, Cannata, Gaspare, Lombardi, Erica, Ammirati, Carlo A, Piceni, Chiara, Buccianti, Piero, Balestri, Riccardo, Puccini, Marco, Pezzati, Daniele, d'Ischia, Roberto, Asta, Vito F, Sargenti, Benedetta, Taddei, Giacomo, Bonari, Federica, Boni, Giulia, Ferrero, Alessandro, Mineccia, Michela, Gonella, Federica, Palisi, Marco, Danese, Francesco, Cherubini, Valeria, Perotti, Serena, Carvello, Michele, Carbone, Fabio, Luberto, Antonio, Calafiore, Eleonora, De Lucia, Francesca, Sacchi, Matteo, Sasia, Diego, Giuffrida, Maria C, Ballauri, Edoardo, Cardile, Mathieu, Armentano, Serena, Beltrami, Elsa, Preve, Gabriele, Vercellone, Barbara, Mozzon, Marta, Folliero, Cristina, Lirusso, Chiara, Vecchiato, Massimo, Ziccarelli, Antonio, Gattesco, Davide, Moretti, Luisa, Crestale, Sara, Banchini, Filippo, Capelli, Patrizio, Romboli, Andrea, Palmieri, Gerardo, Conti, Luigi, Rizzi, Nicholas, Bonfili, Deborah, de Manzini, Nicolò, Germani, Paola, Osenda, Edoardo, Cortinovis, Sara, Giunta, Carlotta, Fracon, Stefano, Abdallah, Hussein, Bogoni, Selene, Portolani, Nazario, Nascimbeni, Riccardo, Molfino, Sarah, Tiberio, Guido A M, Garosio, Ilenia, Lamperti, Giulia, Rigosa, Diego, Ercolani, Giorgio, Solaini, Leonardo, Cavaliere, Davide, Avanzolini, Andrea, D'Acapito, Fabrizio, Chiarella, Leonardo L, Di Pietrantonio, Daniela, Annunziata, Domenico, Piccolo, Roberta, Sorrentino, Mario, Pansini, Mauro, Cojutti, Alessandro, Graziano, Michele, Callegari, Francesco, Balzarotti, Laura, Dameno, Vitale R, Cattaneo, Antonio, Santolamazza, Giuliano, Altieri, Caterina, Magarini, Riccardo, Pietrabissa, Andrea, Dominioni, Tommaso, Pugliese, Luigi, Peri, Andrea, Botti, Marta, Salvetti, Francesco, Cassinotti, Elisa, Baldari, Ludovica, Boni, Luigi, Messina, Valentina, D'Abrosca, Vera, Cianci, Pasquale, Tumolo, Rocco, Gattulli, Domenico, Restini, Enrico, Minafra, Marina, Sederino, Maria G, Bottalico, Bernardino, Pilati, Pierluigi, Franzato, Boris, Mattara, Genny, De Simoni, Ottavia, Barina, Andrea, Tonello, Marco, Muratore, Andrea, Calabrò, Marcello, Federico Pipitone, Nicoletta S, Cuzzola, Bruno, Herranz van Nood, Elena, Passuello, Nicola, Frasson, Alvise, Mammano, Enzo, Faccio, Luca, Vittadello, Fabrizio, Bressan, Alice, Sarzo, Giacomo, Tamini, Nicolò, Oldani, Massimo, Cigagna, Luca, Carissimi, Francesca, De Carlo, Giulia, Baccalini, Edoardo, Nespoli, Luca, Giordano, Alessio, Cantafio, Stefano, Grifoni, Lucrezia, Matani, Davide, Livi, Serena, Delogu, Daniele, Scognamillo, Fabrizio, Marrosu, Antonio, Guerrini, Luca, Ugolini, Giampaolo, Ghignone, Federico, Frascaroli, Giacomo, Albertini, Nicola, Zattoni, Davide, Taffurelli, Giovanni, Montroni, Isacco, Colombo, Francesco, Danelli, Piergiorgio, Bondurri, Andrea, Maffioli, Anna, Bonomi, Alessandro, Pezzoli, Isabella, Cammarata, Francesco, Goletti, Orlando, Molteni, Mattia, Assisi, Alberto, Quartierini, Giorgio, Da Lio, Corrado, Verdi, Daunia, Mondi, Isabella, Peluso, Claudia, Macchi, Lorenzo, Tanzanu, Marta, Zanzi, Federico, Pellegrini, Sara, Andreuccetti, Jacopo, D'Alessio, Rossella, Pignata, Giusto, De Capua, Michele, Canfora, Ilaria, Ottaviani, Luca, Lepiane, Pasquale, Balla, Andrea, De Carlo, Antonio, Saraceno, Federica, Scaramuzzo, Rosa, Guida, Anna, Aguzzi, Daniele, Bellora, Paolo, Gentilli, Sergio, Monni, Manuela, Nikaj, Herald, Cillara, Nicola, Cannavera, Alessandro, Deserra, Antonello, Margiani, Carla, Cabula, Roberta, Dettori, Manuela, Gramignano, Giulia, Lezoche, Giovanni, Ortenzi, Monica, Orlandoni, Elena S, Curzi, Federica, Vitali, Francesca, Capomagi, Perla, Palmieri, Miriam, Giuffrida, Mario, Del Rio, Paolo, Bonati, Elena, Loderer, Tommaso, Cozzani, Federico, Rossini, Matteo, Agnesi, Stefano, Capolupo, Gabriella T, Caricato, Marco, Carannante, Filippo, Mascianà, Gianluca, Marrelli, Martina, Miacci, Valentina, Lauricella, Sara, Tonini, Valeria, Cervellera, Maurizio, Pisconti, Salvatore, Lozito, Concetta, Shahu, Juliana, Mongelli, Claudia, Morelli, Giulia, Sartarelli, Lodovico, Sica, Giuseppe S, Siragusa, Leandro, Bagaglini, Giulia, Sensi, Bruno, Guida, Andrea M, Franceschilli, Marzia, Vinci, Danilo, Taddei, Antonio, Risaliti, Matteo, Bartolini, Ilenia, Ringressi, Maria N, Tirloni, Luca, Laface, Letizia, Abate, Emmanuele, Casati, Massimiliano, Gobbi, Pietro, Opocher, Enrico, Mariani, Nicolò M, Pisani Ceretti, Andrea, Giovenzana, Marco, Giuliani, Beatrice, Sironi, Martina, Grossi, Ugo, Zanus, Giacomo, Aniello Santoro, Giulio, Brizzolari, Marco, De Leo, Eugenio, Novello, Simone, Aquilino, Krizia, Milardi, Francesco, Olmi, Stefano, Uccelli, Matteo, Bonaldi, Marta, Cesana, Giovanni C, Bindi, Marco, Galleano, Raffaele, Langone, Antonio, Botto, Massimiliano, Franceschi, Angelo, Gambino, Elena, Ronconi, Maurizio, Casiraghi, Silvia, Casole, Giovanni, Ciulla, Salvatore L, Terrosu, Giovanni, Calandra, Sergio, Scarpa, Edoardo, Cherchi, Vittorio, Calini, Giacomo, Martinuzzo, Lisa, Clocchiatti, Lucrezia, Muschitiello, Davide, Romanzi, Andrea, Vignati, Barbara, Vannelli, Alberto, Scolaro, Roberta, Milanesi, Maria, Rossi, Fabrizio, Canonico, Giuseppe, Anastasi, Alessandro, Nelli, Tommaso, Barlettai, Marco, Fratarcangeli, Riccardo, Di Martino, Carmela, Damigella, Andrea, Adinolfi, Elvira, Birindelli, Arianna, Taglietti, Lucio, Dester, Sara E, Fleres, Francesco, Cucinotta, Eugenio, Viscosi, Francesca, Biondo Santino, Antonio, Badessi, Giorgio, Catarsini, Nivia, Mazzeo, Carmelo, Rega, Daniela, Delrio, Paolo, Cervone, Carmela, Aversano, Alessia, De Franciscis, Silvia, Di Marzo, Massimiliano, Marra, Bruno, Pace, Ugo, Amato, Antonio, Batistotti, Paola, Mina, Elisa, Serventi, Alberto, Lapolla, Pierfrancesco, Mingoli, Andrea, Sapienza, Paolo, Brachini, Gioia, Cirillo, Bruno, Fiori, Enrico, Crocetti, Daniele, Clementi, Ilaria, Martines, Gennaro, Picciariello, Arcangelo, Tomasicchio, Giovanni, Dibra, Rigers, Trigiante, Giuseppe, Rinaldi, Marcella, Lantone, Giuliano, Porcu, Alberto, Perra, Teresa, Scanu, Antonio M, Feo, Claudio F, Fancellu, Alessandro, Cossu, Maria L, Ginesu, Giorgio C, Patriti, Alberto, Coletta, Diego, Petrelli, Filippo, Greco, Paola A, Spadoni, Claudia, Cassiani, Giovanna, Bianchini, Federica, Arganini, Marco, Bianchini, Matteo, Perotti, Bruno, Palmeri, Matteo, Scabini, Stefano, Deiana, Selene, Carganico, Giacomo, Pertile, Davide, Soriero, Domenico, Fioravanti, Emanuela, Sperotto, Beatrice, Nardo, Bruno, Paglione, Daniele, Crocco, Veronica, Doni, Marco, Osso, Mariasara, Perri, Roberto, Sampietro, Gianluca M, Corbellini, Carlo, Lorusso, Leonardo, Manzo, Carlo A, Cigognini, Maria, Baldi, Caterina, Palomba, Giuseppe, Aprea, Giovanni, Capuano, Marianna, Basile, Raffaele, Tutino, Roberta, Massani, Marco, Marinelli, Laura, Canitano, Nicola, Pilia, Tiziana, Podda, Mauro, Pisanu, Adolfo, Murzi, Valentina, Incani, Silvia, Frongia, Federica, Esposito, Giuseppe, Luglio, Gaetano, Tropeano, Francesca P, Pagano, Gianluca, Spina, Eduardo, De Simone, Giuseppe, Cricrì, Michele, Catena, Fausto, Vallicelli, Carlo, Zanini, Nicola, Ronconi, Diana, Favi, Francesco, Mazzucchelli, Carlo, Convertini, Girolamo, Vincenti, Leonardo, Andriola, Valeria, Bizzoca, Cinzia, Feo, Carlo V, Fabbri, Nicolò, Fazzin, Marta, Pesce, Antonio, Gennari, Silvia, Torchiaro, Marco, Severi, Silvia, Frontali, Alice, Bracchetti, Greta, Granieri, Stefano, Cotsoglou, Christian, Carlini, Massimo, Lisi, Giorgio, Spoletini, Domenico, Mastrangeli, Maria R, Campanelli, Michela, Manigrasso, Michele, Milone, Marco, De Palma, Giovanni D, Vertaldi, Sara, Chini, Alessia, Maione, Francesco, Marello, Alessandra, Selvaggi, Francesco, Sciaudone, Guido, Selvaggi, Lucio, Menegon Tasselli, Francesco, Fuschillo, Giacomo, Oddis, Lidia, Grande, Simona, Grande, Michele, Ascanelli, Simona, Chimisso, Laura, Aisoni, Filippo, Rossin, Eleonora, Pepe, Francesco, Marchetti, Francesco, Picardi, Biagio, Rossi, Stefano, Rossi Del Monte, Simone, Picarelli, Matteo, Muttillo, Irnerio A, Ratto, Carlo, Marra, Angelo A, Parello, Angelo, Litta, Francesco, Campennì, Paola, De Simone, Veronica, Pata, Francesco, Riboni, Cristiana, Rausa, Emanuele, Celentano, Valerio, Institut Català de la Salut, [Rottoli M, Gori A, Pellino G] Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero–Universitaria di Bologna, Bologna, Italy. Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero–Universitaria di Bologna, Bologna, Italy. [Pellino G] Department of Advanced Medical and Surgical Sciences, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy. Unitat de Cirurgia de Còlon i Recte, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Flacco ME, Martellucci C] Department of Environmental and Preventive Sciences, University of Ferrara, Ferrara, Italy. [Spinelli A] Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy. Colorectal Surgery, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy, Vall d'Hebron Barcelona Hospital Campus, Rottoli, Matteo, Gori, Alice, Pellino, Gianluca, Flacco, Maria Elena, Martellucci, Cecilia, Spinelli, Antonino, Poggioli, Gilberto, Romano, Angela, Belvedere, Angela, Lanci Lanci, Antonio, Parlanti, Daniele, Vago, Gabriele, Pezzuto, Paola, Canavese, Anna, Dajti, Gerti, Cardelli, Stefano, Catalioto, Caterina, Russo, Iris S, Violante, Tommaso, Morezzi, Daniele, Maurino, Ludovica, Filippone, Eleonora, Cuicchi, Dajana, Bernante, Paolo, Jovine, Elio, Lombardi, Raffaele, Masetti, Michele, Cipressi, Chiara, Offi, Maria F, Larotonda, Cristina, Puglisi, Silvana B, Barbosa, Augusto, Vaiana, Roberto, Bianchi, Paolo M, Tonti, Carlo, Codignola, Claudio, Zorcolo, Luigi, Restivo, Angelo, Deidda, Simona, Marchetti, Marcello E, Ippolito, Luca, Spolverato, Gaya, Pucciarelli, Salvatore, Marchegiani, Francesco, Ghio, Giacomo, Zagolin, Gaya, Glavas, Dajana, Tomassi, Monica, Rosati, Riccardo, Elmore, Ugo, Gozzini, Lorenzo, Calef, Riccardo, Puccetti, Francesco, Cossu, Andrea, Vignali, Andrea, Morino, Mario, Allaix, Marco E, Cannata, Gaspare, Lombardi, Erica, Ammirati, Carlo A, Piceni, Chiara, Buccianti, Piero, Balestri, Riccardo, Puccini, Marco, Pezzati, Daniele, d'Ischia, Roberto, Asta, Vito F, Sargenti, Benedetta, Taddei, Giacomo, Bonari, Federica, Boni, Giulia, Ferrero, Alessandro, Mineccia, Michela, Gonella, Federica, Palisi, Marco, Danese, Francesco, Cherubini, Valeria, Perotti, Serena, Carvello, Michele, Carbone, Fabio, Luberto, Antonio, Calafiore, Eleonora, De Lucia, Francesca, Sacchi, Matteo, Sasia, Diego, Giuffrida, Maria C, Ballauri, Edoardo, Cardile, Mathieu, Armentano, Serena, Beltrami, Elsa, Preve, Gabriele, Vercellone, Barbara, Mozzon, Marta, Folliero, Cristina, Lirusso, Chiara, Vecchiato, Massimo, Ziccarelli, Antonio, Gattesco, Davide, Moretti, Luisa, Crestale, Sara, Banchini, Filippo, Capelli, Patrizio, Romboli, Andrea, Palmieri, Gerardo, Conti, Luigi, Rizzi, Nichola, Bonfili, Deborah, de Manzini, Nicolò, Germani, Paola, Osenda, Edoardo, Cortinovis, Sara, Giunta, Carlotta, Fracon, Stefano, Abdallah, Hussein, Bogoni, Selene, Portolani, Nazario, Nascimbeni, Riccardo, Molfino, Sarah, Tiberio, Guido A M, Garosio, Ilenia, Lamperti, Giulia, Rigosa, Diego, Ercolani, Giorgio, Solaini, Leonardo, Cavaliere, Davide, Avanzolini, Andrea, D'Acapito, Fabrizio, Chiarella, Leonardo L, Di Pietrantonio, Daniela, Annunziata, Domenico, Piccolo, Roberta, Sorrentino, Mario, Pansini, Mauro, Cojutti, Alessandro, Graziano, Michele, Callegari, Francesco, Balzarotti, Laura, Dameno, Vitale R, Cattaneo, Antonio, Santolamazza, Giuliano, Altieri, Caterina, Magarini, Riccardo, Pietrabissa, Andrea, Dominioni, Tommaso, Pugliese, Luigi, Peri, Andrea, Botti, Marta, Salvetti, Francesco, Cassinotti, Elisa, Baldari, Ludovica, Boni, Luigi, Messina, Valentina, D'Abrosca, Vera, Cianci, Pasquale, Tumolo, Rocco, Gattulli, Domenico, Restini, Enrico, Minafra, Marina, Sederino, Maria G, Bottalico, Bernardino, Pilati, Pierluigi, Franzato, Bori, Mattara, Genny, De Simoni, Ottavia, Barina, Andrea, Tonello, Marco, Muratore, Andrea, Calabrò, Marcello, Federico Pipitone, Nicoletta S, Cuzzola, Bruno, Herranz van Nood, Elena, Passuello, Nicola, Frasson, Alvise, Mammano, Enzo, Faccio, Luca, Vittadello, Fabrizio, Bressan, Alice, Sarzo, Giacomo, Tamini, Nicolò, Oldani, Massimo, Cigagna, Luca, Carissimi, Francesca, De Carlo, Giulia, Baccalini, Edoardo, Nespoli, Luca, Giordano, Alessio, Cantafio, Stefano, Grifoni, Lucrezia, Matani, Davide, Livi, Serena, Delogu, Daniele, Scognamillo, Fabrizio, Marrosu, Antonio, Guerrini, Luca, Ugolini, Giampaolo, Ghignone, Federico, Frascaroli, Giacomo, Albertini, Nicola, Zattoni, Davide, Taffurelli, Giovanni, Montroni, Isacco, Colombo, Francesco, Danelli, Piergiorgio, Bondurri, Andrea, Maffioli, Anna, Bonomi, Alessandro, Pezzoli, Isabella, Cammarata, Francesco, Goletti, Orlando, Molteni, Mattia, Assisi, Alberto, Quartierini, Giorgio, Da Lio, Corrado, Verdi, Daunia, Mondi, Isabella, Peluso, Claudia, Macchi, Lorenzo, Tanzanu, Marta, Zanzi, Federico, Pellegrini, Sara, Andreuccetti, Jacopo, D'Alessio, Rossella, Pignata, Giusto, De Capua, Michele, Canfora, Ilaria, Ottaviani, Luca, Lepiane, Pasquale, Balla, Andrea, De Carlo, Antonio, Saraceno, Federica, Scaramuzzo, Rosa, Guida, Anna, Aguzzi, Daniele, Bellora, Paolo, Gentilli, Sergio, Monni, Manuela, Nikaj, Herald, Cillara, Nicola, Cannavera, Alessandro, Deserra, Antonello, Margiani, Carla, Cabula, Roberta, Dettori, Manuela, Gramignano, Giulia, Lezoche, Giovanni, Ortenzi, Monica, Orlandoni, Elena S, Curzi, Federica, Vitali, Francesca, Capomagi, Perla, Palmieri, Miriam, Giuffrida, Mario, Del Rio, Paolo, Bonati, Elena, Loderer, Tommaso, Cozzani, Federico, Rossini, Matteo, Agnesi, Stefano, Capolupo, Gabriella T, Caricato, Marco, Carannante, Filippo, Mascianà, Gianluca, Marrelli, Martina, Miacci, Valentina, Lauricella, Sara, Tonini, Valeria, Cervellera, Maurizio, Pisconti, Salvatore, Lozito, Concetta, Shahu, Juliana, Mongelli, Claudia, Morelli, Giulia, Sartarelli, Lodovico, Sica, Giuseppe S, Siragusa, Leandro, Bagaglini, Giulia, Sensi, Bruno, Guida, Andrea M, Franceschilli, Marzia, Vinci, Danilo, Taddei, Antonio, Risaliti, Matteo, Bartolini, Ilenia, Ringressi, Maria N, Tirloni, Luca, Laface, Letizia, Abate, Emmanuele, Casati, Massimiliano, Gobbi, Pietro, Opocher, Enrico, Mariani, Nicolò M, Pisani Ceretti, Andrea, Giovenzana, Marco, Giuliani, Beatrice, Sironi, Martina, Grossi, Ugo, Zanus, Giacomo, Aniello Santoro, Giulio, Brizzolari, Marco, De Leo, Eugenio, Novello, Simone, Aquilino, Krizia, Milardi, Francesco, Olmi, Stefano, Uccelli, Matteo, Bonaldi, Marta, Cesana, Giovanni C, Bindi, Marco, Galleano, Raffaele, Langone, Antonio, Botto, Massimiliano, Franceschi, Angelo, Gambino, Elena, Ronconi, Maurizio, Casiraghi, Silvia, Casole, Giovanni, Ciulla, Salvatore L, Terrosu, Giovanni, Calandra, Sergio, Scarpa, Edoardo, Cherchi, Vittorio, Calini, Giacomo, Martinuzzo, Lisa, Clocchiatti, Lucrezia, Muschitiello, Davide, Romanzi, Andrea, Vignati, Barbara, Vannelli, Alberto, Scolaro, Roberta, Milanesi, Maria, Rossi, Fabrizio, Canonico, Giuseppe, Anastasi, Alessandro, Nelli, Tommaso, Barlettai, Marco, Fratarcangeli, Riccardo, Di Martino, Carmela, Damigella, Andrea, Adinolfi, Elvira, Birindelli, Arianna, Taglietti, Lucio, Dester, Sara E, Fleres, Francesco, Cucinotta, Eugenio, Viscosi, Francesca, Biondo Santino, Antonio, Badessi, Giorgio, Catarsini, Nivia, Mazzeo, Carmelo, Rega, Daniela, Delrio, Paolo, Cervone, Carmela, Aversano, Alessia, De Franciscis, Silvia, Di Marzo, Massimiliano, Marra, Bruno, Pace, Ugo, Amato, Antonio, Batistotti, Paola, Mina, Elisa, Serventi, Alberto, Lapolla, Pierfrancesco, Mingoli, Andrea, Sapienza, Paolo, Brachini, Gioia, Cirillo, Bruno, Fiori, Enrico, Crocetti, Daniele, Clementi, Ilaria, Martines, Gennaro, Picciariello, Arcangelo, Tomasicchio, Giovanni, Dibra, Riger, Trigiante, Giuseppe, Rinaldi, Marcella, Lantone, Giuliano, Porcu, Alberto, Perra, Teresa, Scanu, Antonio M, Feo, Claudio F, Fancellu, Alessandro, Cossu, Maria L, Ginesu, Giorgio C, Patriti, Alberto, Coletta, Diego, Petrelli, Filippo, Greco, Paola A, Spadoni, Claudia, Cassiani, Giovanna, Bianchini, Federica, Arganini, Marco, Bianchini, Matteo, Perotti, Bruno, Palmeri, Matteo, Scabini, Stefano, Deiana, Selene, Carganico, Giacomo, Pertile, Davide, Soriero, Domenico, Fioravanti, Emanuela, Sperotto, Beatrice, Nardo, Bruno, Paglione, Daniele, Crocco, Veronica, Doni, Marco, Osso, Mariasara, Perri, Roberto, Sampietro, Gianluca M, Corbellini, Carlo, Lorusso, Leonardo, Manzo, Carlo A, Cigognini, Maria, Baldi, Caterina, Palomba, Giuseppe, Aprea, Giovanni, Capuano, Marianna, Basile, Raffaele, Tutino, Roberta, Massani, Marco, Marinelli, Laura, Canitano, Nicola, Pilia, Tiziana, Podda, Mauro, Pisanu, Adolfo, Murzi, Valentina, Incani, Silvia, Frongia, Federica, Esposito, Giuseppe, Luglio, Gaetano, Tropeano, Francesca P, Pagano, Gianluca, Spina, Eduardo, De Simone, Giuseppe, Cricrì, Michele, Catena, Fausto, Vallicelli, Carlo, Zanini, Nicola, Ronconi, Diana, Favi, Francesco, Mazzucchelli, Carlo, Convertini, Girolamo, Vincenti, Leonardo, Andriola, Valeria, Bizzoca, Cinzia, Feo, Carlo V, Fabbri, Nicolò, Fazzin, Marta, Pesce, Antonio, Gennari, Silvia, Torchiaro, Marco, Severi, Silvia, Frontali, Alice, Bracchetti, Greta, Granieri, Stefano, Cotsoglou, Christian, Carlini, Massimo, Lisi, Giorgio, Spoletini, Domenico, Mastrangeli, Maria R, Campanelli, Michela, Manigrasso, Michele, Milone, Marco, De Palma, Giovanni D, Vertaldi, Sara, Chini, Alessia, Maione, Francesco, Marello, Alessandra, Selvaggi, Francesco, Sciaudone, Guido, Selvaggi, Lucio, Menegon Tasselli, Francesco, Fuschillo, Giacomo, Oddis, Lidia, Grande, Simona, Grande, Michele, Ascanelli, Simona, Chimisso, Laura, Aisoni, Filippo, Rossin, Eleonora, Pepe, Francesco, Marchetti, Francesco, Picardi, Biagio, Rossi, Stefano, Rossi Del Monte, Simone, Picarelli, Matteo, Muttillo, Irnerio A, Ratto, Carlo, Marra, Angelo A, Parello, Angelo, Litta, Francesco, Campennì, Paola, De Simone, Veronica, Pata, Francesco, Riboni, Cristiana, Rausa, Emanuele, and Celentano, Valerio

Subjects
Adult, Male, Settore MED/18 - CHIRURGIA GENERALE, Otros calificadores::/diagnóstico [Otros calificadores], Hospitals, Community, colorectal cancer, Community, advanced stage, COVID-19 (Malaltia), Cohort Studies, Neoplasms::Neoplasms by Site::Digestive System Neoplasms::Gastrointestinal Neoplasms::Intestinal Neoplasms::Colorectal Neoplasms [DISEASES], Retrospective Studie, Other subheadings::/diagnosis [Other subheadings], virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES], Humans, Pandemics, Aged, Retrospective Studies, Pandemic, SARS-CoV-2, COVID-19, Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES], General Medicine, neoplasias::neoplasias por localización::neoplasias del sistema digestivo::neoplasias gastrointestinales::neoplasias intestinales::neoplasias colorrectales [ENFERMEDADES], Hospitals, Recte - Càncer - Diagnòstic, Settore MED/18, Italy, Còlon - Càncer - Diagnòstic, Cohort Studie, Colorectal Neoplasms, Human
Abstract

ImportanceDelays in screening programs and the reluctance of patients to seek medical attention because of the outbreak of SARS-CoV-2 could be associated with the risk of more advanced colorectal cancers at diagnosis.ObjectiveTo evaluate whether the SARS-CoV-2 pandemic was associated with more advanced oncologic stage and change in clinical presentation for patients with colorectal cancer.Design, Setting, and ParticipantsThis retrospective, multicenter cohort study included all 17 938 adult patients who underwent surgery for colorectal cancer from March 1, 2020, to December 31, 2021 (pandemic period), and from January 1, 2018, to February 29, 2020 (prepandemic period), in 81 participating centers in Italy, including tertiary centers and community hospitals. Follow-up was 30 days from surgery.ExposuresAny type of surgical procedure for colorectal cancer, including explorative surgery, palliative procedures, and atypical or segmental resections.Main Outcomes and MeasuresThe primary outcome was advanced stage of colorectal cancer at diagnosis. Secondary outcomes were distant metastasis, T4 stage, aggressive biology (defined as cancer with at least 1 of the following characteristics: signet ring cells, mucinous tumor, budding, lymphovascular invasion, perineural invasion, and lymphangitis), stenotic lesion, emergency surgery, and palliative surgery. The independent association between the pandemic period and the outcomes was assessed using multivariate random-effects logistic regression, with hospital as the cluster variable.ResultsA total of 17 938 patients (10 007 men [55.8%]; mean [SD] age, 70.6 [12.2] years) underwent surgery for colorectal cancer: 7796 (43.5%) during the pandemic period and 10 142 (56.5%) during the prepandemic period. Logistic regression indicated that the pandemic period was significantly associated with an increased rate of advanced-stage colorectal cancer (odds ratio [OR], 1.07; 95% CI, 1.01-1.13; P = .03), aggressive biology (OR, 1.32; 95% CI, 1.15-1.53; P P = .03).Conclusions and RelevanceThis cohort study suggests a significant association between the SARS-CoV-2 pandemic and the risk of a more advanced oncologic stage at diagnosis among patients undergoing surgery for colorectal cancer and might indicate a potential reduction of survival for these patients.

Published
2022

20. AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat

Author

Liu, Bing, Martre, Pierre, Ewert, Frank, Webber, Heidi, Waha, Katharina, Thorburn, Peter, Ruane, Alex, Aggarwal, Pramod, Ahmed, Mukhtar, Balkovič, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, Cao, Weixing, Challinor, Andy, de Sanctis, Giacomo, Dumont, Benjamin, Espadafor, Mónica, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Garcia-Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto, Jabloun, Mohamed, Jones, Curtis, Kassie, Belay, Kersebaum, Kurt, Klein, Christian, Koehler, Ann-Kristin, Maiorano, Andrea, Minoli, Sara, Montesino San Martin, Manuel, Müller, Christoph, Kumar, Soora Naresh, Nendel, Claas, O’leary, Garry, Olesen, Jørgen Eivind, Palosuo, Taru, Porter, John, Priesack, Eckart, Ripoche, Dominique, Rötter, Reimund, Semenov, Mikhail A., Stöckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, van der Velde, Marijn, Wang, Enli, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, Asseng, Senthold, Liu, Bing, Martre, Pierre, Ewert, Frank, Webber, Heidi, Waha, Katharina, Thorburn, Peter, Ruane, Alex, Aggarwal, Pramod, Ahmed, Mukhtar, Balkovič, Juraj, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, Cao, Weixing, Challinor, Andy, de Sanctis, Giacomo, Dumont, Benjamin, Espadafor, Mónica, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Garcia-Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto, Jabloun, Mohamed, Jones, Curtis, Kassie, Belay, Kersebaum, Kurt, Klein, Christian, Koehler, Ann-Kristin, Maiorano, Andrea, Minoli, Sara, Montesino San Martin, Manuel, Müller, Christoph, Kumar, Soora Naresh, Nendel, Claas, O’leary, Garry, Olesen, Jørgen Eivind, Palosuo, Taru, Porter, John, Priesack, Eckart, Ripoche, Dominique, Rötter, Reimund, Semenov, Mikhail A., Stöckle, Claudio, Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, van der Velde, Marijn, Wang, Enli, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, and Asseng, Senthold

Abstract

The climate change impact and adaptation simulations from the Agricultural Model Intercomparison and Improvement Project (AgMIP) for wheat provide a unique dataset of multi-model ensemble simulations for 60 representative global locations covering all global wheat mega environments. The multi-model ensemble reported here has been thoroughly benchmarked against a large number of experimental data, including different locations, growing season temperatures, atmospheric CO2 concentration, heat stress scenarios, and their interactions. In this paper, we describe the main characteristics of this global simulation dataset. Detailed cultivar, crop management, and soil datasets were compiled for all locations to drive 32 wheat growth models. The dataset consists of 30-year simulated data including 25 output variables for nine climate scenarios, including Baseline (1980-2010) with 360 or 550 ppm CO2, Baseline +2oC or +4oC with 360 or 550 ppm CO2, a mid-century climate change scenario (RCP8.5, 571 ppm CO2), and 1.5°C (423 ppm CO2) and 2.0oC (487 ppm CO2) warming above the pre-industrial period (HAPPI). This global simulation dataset can be used as a benchmark from a well-tested multi-model ensemble in future analyses of global wheat. Also, resource use efficiency (e.g., for radiation, water, and nitrogen use) and uncertainty analyses under different climate scenarios can be explored at different scales. The DOI for the dataset is 10.5281/zenodo.4027033 (AgMIP-Wheat, 2020), and all the data are available on the data repository of Zenodo (http://doi.org/10.5281/zenodo.4027033). Two scientific publications have been published based on some of these data here.

Published
2023

21. A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations

Author

Guarin, Jose, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeno, Diego, Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip, Basso, Bruno, Berger, Andres, Bindi, Marco, Bracho-Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Eyshi Rezaei, Ehsan, Fereres, Elias, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, Garcia-Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie, Kersebaum, Kurt, Nendel, Claas, Olesen, Jorgen, Palosuo, Taru, Priesack, Eckart, Pullens, Johannes, Rodriguez, Alfredo, Rotter, Reimund, Ruiz Ramos, Margarita, Semenov, Mikhail, Senapati, Nimai, Siebert, Stefan, Srivastava, Amit, Stockle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, Asseng, Senthold, Guarin, Jose, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeno, Diego, Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip, Basso, Bruno, Berger, Andres, Bindi, Marco, Bracho-Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Eyshi Rezaei, Ehsan, Fereres, Elias, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, Garcia-Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie, Kersebaum, Kurt, Nendel, Claas, Olesen, Jorgen, Palosuo, Taru, Priesack, Eckart, Pullens, Johannes, Rodriguez, Alfredo, Rotter, Reimund, Ruiz Ramos, Margarita, Semenov, Mikhail, Senapati, Nimai, Siebert, Stefan, Srivastava, Amit, Stockle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, and Asseng, Senthold

Abstract

Grain production must increase by 60% in the next four decades to keep up with the expected population growth and food demand. A significant part of this increase must come from the improvement of staple crop grain yield potential. Crop growth simulation models combined with field experiments and crop physiology are powerful tools to quantify the impact of traits and trait combinations on grain yield potential which helps to guide breeding towards the most effective traits and trait combinations for future wheat crosses. The dataset reported here was created to analyze the value of physiological traits identified by the International Wheat Yield Partnership (IWYP) to improve wheat potential in high-yielding environments. This dataset consists of 11 growing seasons at three high-yielding locations in Buenos Aires (Argentina), Ciudad Obregon (Mexico), and Valdivia (Chile) with the spring wheat cultivar Bacanora and a high-yielding genotype selected from a doubled haploid (DH) population developed from the cross between the Bacanora and Weebil cultivars from the International Maize and Wheat Improvement Center (CIMMYT). This dataset was used in the Agricultural Model Intercomparison and Improvement Project (AgMIP) Wheat Phase 4 to evaluate crop model performance when simulating high-yielding physiological traits and to determine the potential production of wheat using an ensemble of 29 wheat crop models. The field trials were managed for non-stress conditions with full irrigation, fertilizer application, and without biotic stress. Data include local daily weather, soil characteristics and initial soil conditions, cultivar information, and crop measurements (anthesis and maturity dates, total above-ground biomass, final grain yield, yield components, and photosynthetically active radiation interception). Simulations include both daily in-season and end-of-season results for 25 crop variables simulated by 29 wheat crop models.

Published
2023

22. MACSUR SciPol Policy Brief 6: Stakeholder Consultation on Italian Key Policy Questions on Climate Change Mitigation and Adaptation Strategies

Author

Padovan, Gloria, Bindi, Marco, Baralla, Silvia, Grando, Stefano, Muscat, Abigail, and Mckhann, Heather

Subjects
italy, climate mitigation and adaptation policy, climate neutrality, stakeholder, agriculture
Abstract

The policy brief provides a systems analysis of the needs and challenges identified by diverse Italian stakeholders involved in the primary sector, showing that more action is needed to reduce climate change effects The MACSUR SciPol knowledge forum is a pilot exercise initiated by the Joint Programming Initiative for Agriculture, Food Security and Climate Change (FACCE JPI) to bring science and policy actors together for the strategic design of climate change adaptation and mitigation solutions in the agri-food sector in Europe This policy brief contributes to this mission by providing evidence-based information to policy for achieving carbon neutrality by 2050 adapting to climate change and understanding synergies and trade-offs in achieving these targets.

Published
2023
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25. VISTOCK: A simplified model for simulating grassland systems

Author

Bellini, Edoardo, primary, Moriondo, Marco, additional, Dibari, Camilla, additional, Bindi, Marco, additional, Staglianò, Nicolina, additional, Cremonese, Edoardo, additional, Filippa, Gianluca, additional, Galvagno, Marta, additional, and Argenti, Giovanni, additional

Published
2023
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26. Evidence for increasing global wheat yield potential

Author

Guarin, Jose Rafael, primary, Martre, Pierre, additional, Ewert, Frank, additional, Webber, Heidi, additional, Dueri, Sibylle, additional, Calderini, Daniel, additional, Reynolds, Matthew, additional, Molero, Gemma, additional, Miralles, Daniel, additional, Garcia, Guillermo, additional, Slafer, Gustavo, additional, Giunta, Francesco, additional, Pequeno, Diego N L, additional, Stella, Tommaso, additional, Ahmed, Mukhtar, additional, Alderman, Phillip D, additional, Basso, Bruno, additional, Berger, Andres G, additional, Bindi, Marco, additional, Bracho-Mujica, Gennady, additional, Cammarano, Davide, additional, Chen, Yi, additional, Dumont, Benjamin, additional, Rezaei, Ehsan Eyshi, additional, Fereres, Elias, additional, Ferrise, Roberto, additional, Gaiser, Thomas, additional, Gao, Yujing, additional, Garcia-Vila, Margarita, additional, Gayler, Sebastian, additional, Hochman, Zvi, additional, Hoogenboom, Gerrit, additional, Hunt, Leslie A, additional, Kersebaum, Kurt C, additional, Nendel, Claas, additional, Olesen, Jørgen E, additional, Palosuo, Taru, additional, Priesack, Eckart, additional, Pullens, Johannes W M, additional, Rodríguez, Alfredo, additional, Rötter, Reimund P, additional, Ramos, Margarita Ruiz, additional, Semenov, Mikhail A, additional, Senapati, Nimai, additional, Siebert, Stefan, additional, Srivastava, Amit Kumar, additional, Stöckle, Claudio, additional, Supit, Iwan, additional, Tao, Fulu, additional, Thorburn, Peter, additional, Wang, Enli, additional, Weber, Tobias Karl David, additional, Xiao, Liujun, additional, Zhang, Zhao, additional, Zhao, Chuang, additional, Zhao, Jin, additional, Zhao, Zhigan, additional, Zhu, Yan, additional, and Asseng, Senthold, additional

Published
2022
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29. Priority for climate adaptation measures in European crop production systems

Author

Zhao, Jin, primary, Bindi, Marco, additional, Eitzinger, Josef, additional, Ferrise, Roberto, additional, Gaile, Zinta, additional, Gobin, Anne, additional, Holzkämper, Annelie, additional, Kersebaum, Kurt-Christian, additional, Kozyra, Jerzy, additional, Kriaučiūnienė, Zita, additional, Loit, Evelin, additional, Nejedlik, Pavol, additional, Nendel, Claas, additional, Niinemets, Ülo, additional, Palosuo, Taru, additional, Peltonen-Sainio, Pirjo, additional, Potopová, Vera, additional, Ruiz-Ramos, Margarita, additional, Reidsma, Pytrik, additional, Rijk, Bert, additional, Trnka, Mirek, additional, van Ittersum, Martin K., additional, and Olesen, Jørgen E., additional

Published
2022
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30. Frequency Characterization of Medium Voltage Cables for Fault Prevention Through Multi-Valued Neural Networks and Power Line Communication Technologies

Author

Bindi, Marco, Luchetta, Antonio, Lozito, Gabriele Maria, Carobbi, Carlo F. M., Grasso, Francesco, and Piccirilli, Maria Cristina

Abstract

This paper proposes a new prognostic method capable of preventing catastrophic failures in Medium Voltage (MV) power cables. The main objective is the development of a monitoring system focused on the detection and localization of cable overtemperatures in underground distribution networks. The predictive analysis proposed here is based on a Multi-Layer neural network with Multi-Valued Neurons (MLMVN), which elaborates measurements of high frequency signals transmitted through Power Line Communication (PLC) devices. Therefore, the prognostic method does not require the introduction of additional components since the power line is already equipped with a communication system. This allows low intrusion and the possibility of monitoring power lines during their operation. Furthermore, the MLMVN-based classifier processes magnitude and phase of the received signals without preliminary coding steps and ensures a low computational cost. The main theoretical concept on which the predictive analysis is based is the detection of malfunctions starting from their effects on the cable parameters. For this reason, an RG7H1M1 cable has been experimentally characterized in the frequency range between 90 kHz and 1 MHz, both in nominal conditions and in overheating situations generated by means of a climatic chamber. The changes in the electrical parameters of the cable modify the transmitted signal and the monitoring system proposed here allows the identification and localization of the overheated section with high accuracy.

Published
2023
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33. Smart monitoring of DC-DC converters

Author

Bindi, Marco, primary, Talluri, Giacomo, additional, Lozito, Gabriele Maria, additional, Luchetta, Antonio, additional, Piccirilli, Maria Cristina, additional, and Grasso, Francesco, additional

Published
2022
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38. Data from the AgMIP-Wheat high-yielding traits experiment for modeling potential production of wheat: field experiments and multi-model simulations

Author

Guarin, Jose, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeno, Diego N.L., Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip D., Basso, Bruno, Berger, Andres G., Bindi, Marco, Bracho Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Eyshi Rezaei, Ehsan, Fereres, Elias, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, Garcia-Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie A., Kersebaum, Kurt C., Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W.M., Rodríguez, Alfredo, Rötter, Reimund P., Ruiz Ramos, Margarita, Semenov, Mikhail A., Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, Asseng, Senthold, Guarin, Jose, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeno, Diego N.L., Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip D., Basso, Bruno, Berger, Andres G., Bindi, Marco, Bracho Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Eyshi Rezaei, Ehsan, Fereres, Elias, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, Garcia-Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie A., Kersebaum, Kurt C., Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W.M., Rodríguez, Alfredo, Rötter, Reimund P., Ruiz Ramos, Margarita, Semenov, Mikhail A., Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, and Asseng, Senthold

Abstract

The dataset reported here was created to analyze the value of physiological traits identified by the International Wheat Yield Partnership (IWYP) to improve wheat potential in high-yielding environments. This dataset consists of 11 growing seasons at three high-yielding locations in Buenos Aires (Argentina), Ciudad Obregon (Mexico), and Valdivia (Chile) with the spring wheat cultivar Bacanora and a high-yielding genotype selected from a doubled haploid (DH) population developed from the cross between the Bacanora and Weebil cultivars from the International Maize and Wheat Improvement Center (CIMMYT). This dataset was used in the Agricultural Model Intercomparison and Improvement Project (AgMIP) Wheat Phase 4 to evaluate crop model performance when simulating high-yielding physiological traits and to determine the potential production of wheat using an ensemble of 29 wheat crop models. The field trials were managed for non-stress conditions with full irrigation, fertilizer application, and without biotic stress. Data include local daily weather, soil characteristics and initial soil conditions, cultivar information, and crop measurements (anthesis and maturity dates, total above-ground biomass, final grain yield, yield components, and photosynthetically active radiation interception). Simulations include both daily in-season and end-of-season results for 25 crop variables simulated by 29 wheat crop models. The R code and formatted data used for the statistical analyses are included.

Published
2022

39. Data from the AgMIP-Wheat high-yielding traits experiment for modeling potential production of wheat: field experiments and multi-model simulations

Author

Guarín, José Rafael, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeño, Diego N. L., Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip, Basso, Bruno, Berger, Andres G., Bindi, Marco, Bracho-Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres Castiel, Elías, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, García Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie A., Kersebaum, Kurt C., Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W.M., Rodríguez, Alfredo, Rötter, Reimund P., Ruiz Ramos, Margarita, Semenov, Mikhail A., Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Ji, Zhao, Zhigan, Asseng, Senthold, Guarín, José Rafael, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeño, Diego N. L., Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip, Basso, Bruno, Berger, Andres G., Bindi, Marco, Bracho-Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres Castiel, Elías, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, García Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie A., Kersebaum, Kurt C., Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W.M., Rodríguez, Alfredo, Rötter, Reimund P., Ruiz Ramos, Margarita, Semenov, Mikhail A., Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Ji, Zhao, Zhigan, and Asseng, Senthold

Abstract

The dataset reported here was created to analyze the value of physiological traits identified by the International Wheat Yield Partnership (IWYP) to improve wheat potential in high-yielding environments. This dataset consists of 11 growing seasons at three high-yielding locations in Buenos Aires (Argentina), Ciudad Obregon (Mexico), and Valdivia (Chile) with the spring wheat cultivar Bacanora and a high-yielding genotype selected from a doubled haploid (DH) population developed from the cross between the Bacanora and Weebil cultivars from the International Maize and Wheat Improvement Center (CIMMYT). This dataset was used in the Agricultural Model Intercomparison and Improvement Project (AgMIP) Wheat Phase 4 to evaluate crop model performance when simulating high-yielding physiological traits and to determine the potential production of wheat using an ensemble of 29 wheat crop models. The field trials were managed for non-stress conditions with full irrigation, fertilizer application, and without biotic stress. Data include local daily weather, soil characteristics and initial soil conditions, cultivar information, and crop measurements (anthesis and maturity dates, total above-ground biomass, final grain yield, yield components, and photosynthetically active radiation interception). Simulations include both daily in-season and end-of-season results for 25 crop variables simulated by 29 wheat crop models. The R code and formatted data used for the statistical analyses are included. (2022-02-11).

Published
2022

40. Evidence for increasing global wheat yield potential

Author

Guarin, Jose Rafael, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeno, Diego N.L., Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip D., Basso, Bruno, Berger, Andres G., Bindi, Marco, Bracho-Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, Garcia-Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie A., Kersebaum, Kurt C., Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W.M., Rodríguez, Alfredo, Rötter, Reimund P., Ramos, Margarita Ruiz, Semenov, Mikhail A., Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, Asseng, Senthold, Guarin, Jose Rafael, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeno, Diego N.L., Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip D., Basso, Bruno, Berger, Andres G., Bindi, Marco, Bracho-Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, Garcia-Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie A., Kersebaum, Kurt C., Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W.M., Rodríguez, Alfredo, Rötter, Reimund P., Ramos, Margarita Ruiz, Semenov, Mikhail A., Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, and Asseng, Senthold

Abstract

Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a multi-model ensemble of process-based wheat crop models to estimate global wheat production. The DH field experiments were also used to determine a quantitative relationship between wheat production and solar radiation to estimate genetic yield potential. The multi-model ensemble projected a global annual wheat production of 1050 ± 145 Mt due to the improved canopy photosynthesis, a 37% increase, without expanding cropping area. Achieving this genetic yield potential would meet the lower estimate of the projected grain demand in 2050, albeit with considerable challenges.

Published
2022

41. Evidence for increasing global wheat yield potential

Author

International Wheat Yield Partnership, International Maize and Wheat Improvement Center, Comisión Nacional de Investigación Científica y Tecnológica (Chile), Fondo Nacional de Desarrollo Científico y Tecnológico (Chile), National Natural Science Foundation of China, Ministry of Education, Youth and Sports (Czech Republic), Biotechnology and Biological Sciences Research Council (UK), Guarín, José Rafael, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeño, Diego N. L., Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip, Basso, Bruno, Berger, Andres G., Bindi, Marco, Bracho-Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres Castiel, Elías, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, García Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie A., Kersebaum, Kurt C., Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W.M., Rodríguez, Alfredo, Rötter, Reimund P., Ruiz Ramos, Margarita, Semenov, Mikhail A., Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, Asseng, Senthold, International Wheat Yield Partnership, International Maize and Wheat Improvement Center, Comisión Nacional de Investigación Científica y Tecnológica (Chile), Fondo Nacional de Desarrollo Científico y Tecnológico (Chile), National Natural Science Foundation of China, Ministry of Education, Youth and Sports (Czech Republic), Biotechnology and Biological Sciences Research Council (UK), Guarín, José Rafael, Martre, Pierre, Ewert, Frank, Webber, Heidi, Dueri, Sibylle, Calderini, Daniel, Reynolds, Matthew, Molero, Gemma, Miralles, Daniel, Garcia, Guillermo, Slafer, Gustavo, Giunta, Francesco, Pequeño, Diego N. L., Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip, Basso, Bruno, Berger, Andres G., Bindi, Marco, Bracho-Mujica, Gennady, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres Castiel, Elías, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, García Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Hunt, Leslie A., Kersebaum, Kurt C., Nendel, Claas, Olesen, Jørgen E., Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W.M., Rodríguez, Alfredo, Rötter, Reimund P., Ruiz Ramos, Margarita, Semenov, Mikhail A., Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhang, Zhao, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, and Asseng, Senthold

Abstract

Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a multi-model ensemble of process-based wheat crop models to estimate global wheat production. The DH field experiments were also used to determine a quantitative relationship between wheat production and solar radiation to estimate genetic yield potential. The multi-model ensemble projected a global annual wheat production of 1050 ± 145 Mt due to the improved canopy photosynthesis, a 37% increase, without expanding cropping area. Achieving this genetic yield potential would meet the lower estimate of the projected grain demand in 2050, albeit with considerable challenges.

Published
2022

43. Editorial

Author

Bindi, Marco, Roggero, Pier Paolo, Cammarano, Davide, and Casler, Michael D.

Published
2024
Full Text
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46. Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change

Author

Stella, Tommaso, primary, Webber, Heidi, additional, Olesen, Jørgen E, additional, Ruane, Alex C, additional, Fronzek, Stefan, additional, Bregaglio, Simone, additional, Mamidanna, Sravya, additional, Bindi, Marco, additional, Collins, Brian, additional, Faye, Babacar, additional, Ferrise, Roberto, additional, Fodor, Nándor, additional, Gabaldón-Leal, Clara, additional, Jabloun, Mohamed, additional, Kersebaum, Kurt-Christian, additional, Lizaso, Jon I, additional, Lorite, Ignacio J, additional, Manceau, Loic, additional, Martre, Pierre, additional, Nendel, Claas, additional, Rodríguez, Alfredo, additional, Ruiz-Ramos, Margarita, additional, Semenov, Mikhail A, additional, Stratonovitch, Pierre, additional, and Ewert, Frank, additional

Published
2021
Full Text
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47. A novel framework of smart monitoring to face the challenges of tree management in historic gardens.

Author

Carrari E, Bellandi A, Costafreda-Aumedes S, Dibari C, Ferrini F, Fineschi S, Giuntoli A, Manganelli Del Fa R, Moriondo M, Mozzo M, Padovan G, Riminesi C, and Bindi M

Abstract

Historic gardens are green spaces characterised by tree stands with several veteran specimens of high artistic and cultural value. Such valuable plant components have to cope with biotic and abiotic stress factors as well as ongoing senescence processes. Maintaining tree health is therefore crucial to preserve their ecosystem services, but also to protect the monument and visitor health. In this context, finding smart, fast and cost-effective management solutions to monitor health and detect critical conditions for both stands and individual veteran trees can promote garden conservation. For this reason, we developed a novel framework based on Sentinel2 imagery, LiDAR sources and automatic cameras to identify risk spots regarding trees in historic gardens. The pilot study area consists of two closed Italian gardens from the 16th century, which were analysed as a unique Historic Garden System (HGS). The tree health status at stand level was assessed using a criterion based on the Normalized Difference Vegetation Index weighed on tree volume (NDVI t ) and validated by a visual crown defoliation assessment. At the tree level, the health status of four veteran trees defined by the NDVI t was also evaluated using green chromatic coordinates (GCC) obtained from digital images acquired by cameras at daily intervals during one growing season. The 33% of the tree population was classified as being in poor health, i.e. "at risk". Veteran trees classified as "at risk" showed an anticipation of phenological phases and a lower GCC compared to reference trees. Despite variability determined by Sentinel medium resolution, the proposed framework showed good accuracy (0.74) for monitoring historical gardens. The semi-automatic risk point mapping system tested here proved to be effective in facilitating the management of historic gardens, which in turn could be applied in the wider context of urban greening., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Published
2024
Full Text
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