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What plant breeding may (and may not) look like in 2050? by Bassi, Filippo, Sanchez-Garcia, Miguel, Ortiz, Rodomiro

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Implementation of an Accelerated Genomic Selection Scheme as the Key Strategy to Enhance Genetic Gain In the ICARDA Durum Wheat Breeding Program by Kabbaj, Hafssa, Kehel, Zakaria, Al-Shamaa, Khaled, Zaim, Meryem, Sall, Amadou T., Ortiz, Rodomiro, Bassi, Filippo

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Genotype vs Environment: the ICARDA durum wheat breeding program for African dryland cultivation by Bassi, Filippo, Gautam, Amit, Sall, Amadou T., El Haddad, Noureddine, Zaim, Meryam, Kabbaj, Hafssa, Bousselham, Houda, Jabbour, Yaman, Ortiz, Rodomiro, Amri, Ahmed, Govind, Ajit, Kehel, Zakaria, Visioni, Andrea, Baum, Michael

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Concerns of and compliance to using corn as a bioenergy crop by Msangi, Siwa, Ortiz, Rodomiro

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Editorial: Trends and perspectives for the use of crop wild relatives in crop breeding by Ortiz, Rodomiro, Bassi, Filippo, Rao, Mahesh, Rubiales, Diego

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Durum wheat heat tolerance loci defined via a north–south gradient by Sall, Amadou T., Kabbaj, Hafssa, ould Ely Menoum, Sidi, Cisse, Madiama, Geleta, Mulatu, Ortiz, Rodomiro, Bassi, Filippo

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Bioenergy and agriculture: Promises and challenges: Bioenergy and agricultural research for development by Ortiz, Rodomiro, Crouch, Jonathon H., Iwanaga, Masa, Sayre, Ken, Warburton, Marilyn L., Arous, José Luis, Dixon, John, Bohn, Martin, Reddy, Belum V. S., Ramesh, S., Wani, Suhas P.

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Machine learning algorithms translate big data into predictive breeding accuracy by Crossa, José, Montesinos-Lopez, Osval A., Costa-Neto, Germano, Vitale, Paolo, Martini, Johannes W.R., Runcie, Daniel E., Fritsche-Neto, Roberto, Montesinos-Lopez, Abelardo, Perez-Rodriguez, Paulino, Gerard, Guillermo S., Dreisigacker, Susanna, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Lillemo, Morten, Cuevas, Jaime, Bentley, Alison R., Ortiz, Rodomiro

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Transgenic technology: Pro-poor or pro-rich by Ortiz, Rodomiro, Smale, Melinda

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The importance of genotyping within the climate-smart plant breeding value chain – integrative tools for genetic enhancement programs by Garcia-Oliveira, Ana Luisa, Ortiz, Rodomiro, Sarsu, Fatma, Rasmussen, Søren K., Agre, Paterne, Asfaw, Asrat, Kante, Moctar, Chander, Subhash

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Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software by Crossa, José, Martini, Johannes W.R., Vitale, Paolo, Perez-Rodriguez, Paulino, Costa-Neto, Germano, Fritsche-Neto, Roberto, Runcie, Daniel E., Cuevas, Jaime, Toledo, Fernando H., Huihui Li, De Vita, Pasquale, Gerard, Guillermo S., Dreisigacker, Susanne, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Bentley, Alison R., Lillemo, Morten, Ortiz, Rodomiro, Montesinos-Lopez, Osval A., Montesinos-López, Abelardo

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Genomic prediction powered by multi-omics data by Montesinos-Lopez, Osval Antonio, Montesinos-Lopez, Abelardo, Mosqueda González, Brandon Alejandro, Delgado-Enciso, Iván, Chavira-Flores, Moises, Crossa, Jose, Dreisigacker, Susanne, Sun, Jin, Ortiz, Rodomiro

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