Search Results - "phenotypic"

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

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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... by Pardo, Alan Maxs, Maizon, Daniel Omar, Munilla, Sebastian

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The Amblyomma maculatum Koch, 1844 (Acari: Ixodidae) group of ticks: phenotypic plasticity or incipient speciation? by 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

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

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

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The response of a radiation-induced dwarf bean mutant to gibberellic acid by Moh, C.C., Alan, J.J.

Subjects: “…Fenotipo||phenotypes||fenótipo||phénotype…”
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Validation of diagnostic markers for streak virus disease resistance in maize by Sime, S.S., Menkir, A., Adetimirin, Victor O., Gedil, Melaku A, Kumar, P.

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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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Crop protection - Entomology by Gómez Jiménez, Maria Isabel

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

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NIRS Database on fresh blended yellow cassava for DM, HCN, TCC, TBC & cooking time at CIAT, Colombia by Tran, Thierry, Belalcazar Martinez, John Eiver

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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... by Conejo Rodriguez, F., Gonzalez Guzman, J., Ramirez, Gil J., Urban, Milan Oldřich, Wenzl, Peter

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Machine learning methods in near infrared spectroscopy for predicting sensory traits in sweetpotatoes by Nantongo, J.S., Serunkuma, E., Burgos, C., Nakitto, M., Davrieux, F., Ssali, R.T.

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RGB Image Dataset of Urochloa Hybrids for High-Throughput Phenotyping and Artificial Intelligence Applications by 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

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Nitrogenous fertilizer reduces resistance but enhances tolerance to the brown planthopper in fast-growing, moderately resistant rice by Horgan, Finbarr G., de Freitas, Thais Fernanda S., Crisol-Martínez, Eduardo, Mundaca, Enrique A., Bernal, Carmencita C.

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

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

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Optimal machine learning algorithms and UAV multispectral imagery for crop phenotypic trait estimation: a comprehensive review and meta-analysis by Ndour, Adama, Blasch, Gerald, Valente, João, Bisrat Gebrekidan, Sida, Tesfaye Shiferaw

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Leaf Na+ effects and multi-trait GWAS point to salt exclusion as the key mechanism for reproductive stage salinity tolerance in rice by de Ocampo, Marjorie P., Tam, Bui Phuoc, Egdane, James A, Chebotarov, Dmytro, Doi, Kazuyuki, Yamauchi, Akira, Ismail, Abdelbagi M, Henry, Amelia, Mitsuya, Shiro

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Dataset: Multi-view video sequences of Megathyrsus maximus in greenhouse conditions for 3D reconstruction and temporal phenotyping by Ruiz-Hurtado, Andres Felipe, Arrechea-Castillo, Darwin Alexis, Mayorga Cobos, Mildred Julieth, Madera Doria, Yaira Yulieth, Escobar Graciano, Miller, Cardoso Arango, Juan Andres

Subjects: “…high-throughput phenotyping…”
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