Resultados de búsqueda - "Phenotype"

Desarrollo de poblaciones mutagenizadas en girasol por Fass, Monica Irinia, Conte, Mariana, Puebla, Andrea Fabiana, Nishinakamasu, Veronica, Ben Guerrero, Emiliano, Landau, Alejandra Mabel, Dominguez, Matías, Gonzalez, Sergio Alberto, Alvarez, Daniel, Lia, Verónica Viviana, Paniego, Norma Beatriz

Materias: “…Phenotypic Variation…”
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Análisis exploratorio de la información disponible en poblaciones de la gramínea forrajera nativa Leptochloa crinita = Exploratory data analysis of available information on native... por Aguirre, Marcelo Miguel Ángel, Namur, Pedro Ramón, Griffa, Sabrina Mariana, Acuña, Mariela Luciana, Quiroga, Raul Emiliano

Materias: “…Phenotypes…”
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Impacto de la estructura residual y la información genómica en modelos de norma de reacción para caracteres de crecimiento en Brangus = Impact of residual structure and genomic in... por Pardo, Alan Maxs, Maizon, Daniel Omar, Munilla, Sebastian

Materias: “…Phenotypes…”
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The Amblyomma maculatum Koch, 1844 (Acari: Ixodidae) group of ticks: phenotypic plasticity or incipient speciation? por Lado, Paula, Nava, Santiago, Mendoza-Uribe, Leonardo, Caceres, Abraham G., Delgado de la Mora, Jesus, Licona Enriquez, Jesus D., Delgado de la Mora, David, Labruna, Marcelo B., Durden, Lance A., Allerdice, Michelle E.J., Paddock, Christopher D., Szabó, Matias P.J., Venzal, José Manuel, Guglielmone, Alberto, Beati, Lorenza

Materias: “…Phenotypes…”
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Genomic and phenotypic comparison between similar wine yeast strains of Saccharomyces cerevisiae from different geographic origins por Salinas, F., Mandaković, D., Urzua, U., Massera, Ariel Fernando, Miras, S., Combina, Mariana, Ganga, M. Angélica, Martinez, Claudio

Materias: “…Phenotypes…”
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Diversity of naturalized hairy vetch (Vicia villosa Roth) populations in central Argentina as a source of potential adaptive traits for breeding por Renzi Pugni, Juan Pablo, Chantre Balacca, Guillermo Ruben, Smýkal, Petr, Presotto, Alejandro Daniel, Zubiaga, Luciano, Garayalde, Antonio Francisco, Cantamutto, Miguel Angel

Materias: “…Phenotypes…”
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Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies por Chumbimune Vivanco, Sheyla Yanett, Cárdenas Rengifo, Gloria Patricia, Saravia Navarro, David, Valqui Valqui, Lamberto, Salazar Coronel, Wilian, Arbizu Berrocal, Carlos Irvin

Materias: “…Phenotyping…”
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Phenotypic characterization of fine-aroma cocoa from Northeastern Peru por Oliva Cruz, Manuel, Goñas Goñas, Malluri, García, Ligia M., Rabanal Oyarse, Raúl, Alvarado Chuqui, Cástula, Escobedo Ocampo, Patricia, Maicelo Quintana, Jorge Luis

Materias: “…Phenotypic characterization…”
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Validation of diagnostic markers for streak virus disease resistance in maize por Sime, S.S., Menkir, A., Adetimirin, Victor O., Gedil, Melaku A, Kumar, P.

Materias: “…phenotypes…”
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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.

Materias: “…phenotypes…”
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Crop protection - Entomology por Gómez Jiménez, Maria Isabel

Materias: “…phenotypes…”
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Analysis of population structure and genetic diversity in a Southern African soybean collection based on single nucleotide polymorphism markers por Tsindi, A., Eleblu, J.S.Y., Gasura, E., Mushoriwa, H., Tongoona, P., Danquah, E., Mwadzingeni, L., Zikhali, M., Ziramba, E., Mabuyaye, G., Derera, J.

Materias: “…phenotyping…”
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NIRS Database on fresh blended yellow cassava for DM, HCN, TCC, TBC & cooking time at CIAT, Colombia por Tran, Thierry, Belalcazar Martinez, John Eiver

Materias: “…high-throughput phenotyping…”
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Digital functional phenomic descriptors featured from machine learning-driven image-based phenotyping improve the accuracy of classic descriptors: A case study on Arachis spp. and... por Conejo Rodriguez, F., Gonzalez Guzman, J., Ramirez, Gil J., Urban, Milan Oldřich, Wenzl, Peter

Materias: “…phenotyping…”
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Character association study in maize hybrids developed through integration of rapid cycle genomic selection and doubled haploid technology for heat stress tolerance por Swamy, N., Kuchanur, Prakash H., Patil, Ayyanagouda, Zaidi, Pervez H., Vinayan, M. T., Arunkumar, B., Sowmya, H. C., Dhanoji, M. M.

Materias: “…phenotypic variation…”
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Machine learning methods in near infrared spectroscopy for predicting sensory traits in sweetpotatoes por Nantongo, J.S., Serunkuma, E., Burgos, C., Nakitto, M., Davrieux, F., Ssali, R.T.

Materias: “…phenotyping…”
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RGB Image Dataset of Urochloa Hybrids for High-Throughput Phenotyping and Artificial Intelligence Applications por Arrechea-Castillo, Darwin Alexis, Espitia Buitrago, Paula Andrea, Florian Vargas, David Alberto, Estupinan Arboleda, Ronald David, Velazquez Hernandez, Riquelmer, Camelo Munevar, Rodrigo Andres, Cardoso Arango, Juan Andres

Materias: “…high-throughput phenotyping…”
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Nitrogenous fertilizer reduces resistance but enhances tolerance to the brown planthopper in fast-growing, moderately resistant rice por Horgan, Finbarr G., de Freitas, Thais Fernanda S., Crisol-Martínez, Eduardo, Mundaca, Enrique A., Bernal, Carmencita C.

Materias: “…phenotyping…”
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Generation Challenge Programme (GCP): standards for crop data por Bruskiewich, Richard, Davenport, Guy, Hazekamp, Tom, Metz, Thomas, Ruiz, Manuel, Simon, Reinhard, Masaru Takeya, Lee, Jennifer, Senger, Martin, Mclaren, Graham, Hintum, Theo Van

Materias: “…phenotypes…”
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Machine learning approach for high-throughput phenolic antioxidant screening in black Rice germplasm collection based on surface FTIR por Herath, Achini, Tiozon, Rhowell Jr., Kretzschmar, Tobias, Sreenivasulu, Nese, Mahon, Peter, Butardo, Vito

Materias: “…high-throughput phenotyping…”
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