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Your search keyword '"Bauchet, Guillaume J."' showing total 15 results
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15 results on '"Bauchet, Guillaume J."'

2. Validation of KASP-SNP markers in cassava germplasm for marker-assisted selection of increased carotenoid content and dry matter content

Author

Ige, Adenike D., primary, Olasanmi, Bunmi, additional, Bauchet, Guillaume J., additional, Kayondo, Ismail S., additional, Mbanjo, Edwige Gaby Nkouaya, additional, Uwugiaren, Ruth, additional, Motomura-Wages, Sharon, additional, Norton, Joanna, additional, Egesi, Chiedozie, additional, Parkes, Elizabeth Y., additional, Kulakow, Peter, additional, Ceballos, Hernán, additional, Dieng, Ibnou, additional, and Rabbi, Ismail Y., additional

Published
2022
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3. Breedbase: a digital ecosystem for modern plant breeding

Author

Morales, Nicolas, primary, Ogbonna, Alex C, additional, Ellerbrock, Bryan J, additional, Bauchet, Guillaume J, additional, Tantikanjana, Titima, additional, Tecle, Isaak Y, additional, Powell, Adrian F, additional, Lyon, David, additional, Menda, Naama, additional, Simoes, Christiano C, additional, Saha, Surya, additional, Hosmani, Prashant, additional, Flores, Mirella, additional, Panitz, Naftali, additional, Preble, Ryan S, additional, Agbona, Afolabi, additional, Rabbi, Ismail, additional, Kulakow, Peter, additional, Peteti, Prasad, additional, Kawuki, Robert, additional, Esuma, Williams, additional, Kanaabi, Micheal, additional, Chelangat, Doreen M, additional, Uba, Ezenwanyi, additional, Olojede, Adeyemi, additional, Onyeka, Joseph, additional, Shah, Trushar, additional, Karanja, Margaret, additional, Egesi, Chiedozie, additional, Tufan, Hale, additional, Paterne, Agre, additional, Asfaw, Asrat, additional, Jannink, Jean-Luc, additional, Wolfe, Marnin, additional, Birkett, Clay L, additional, Waring, David J, additional, Hershberger, Jenna M, additional, Gore, Michael A, additional, Robbins, Kelly R, additional, Rife, Trevor, additional, Courtney, Chaney, additional, Poland, Jesse, additional, Arnaud, Elizabeth, additional, Laporte, Marie-Angélique, additional, Kulembeka, Heneriko, additional, Salum, Kasele, additional, Mrema, Emmanuel, additional, Brown, Allan, additional, Bayo, Stanley, additional, Uwimana, Brigitte, additional, Akech, Violet, additional, Yencho, Craig, additional, de Boeck, Bert, additional, Campos, Hugo, additional, Swennen, Rony, additional, Edwards, Jeremy D, additional, and Mueller, Lukas A, additional

Published
2022
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4. Validation of SNP markers for marker-assisted selection of genotypes with increased carotenoid and dry matter contents in cassava

Author

Ige, Adenike D., primary, Olasanmi, Bunmi, additional, Bauchet, Guillaume J., additional, Kayondo, Ismail S., additional, Mbanjo, Edwige Gaby Nkouaya, additional, Uwugiaren, Ruth, additional, Motomura-Wages, Sharon, additional, Norton, Joanna, additional, Egesi, Chiedozie, additional, Parkes, Elizabeth Y., additional, Kulakow, Peter, additional, Ceballos, Hernan, additional, and Rabbi, Ismail Y., additional

Published
2022
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5. Can Cross-Country Genomic Predictions Be a Reasonable Strategy to Support Germplasm Exchange? – A Case Study With Hydrogen Cyanide in Cassava

Author

Torres, Lívia Gomes, primary, Oliveira, Eder Jorge de, additional, Ogbonna, Alex C., additional, Bauchet, Guillaume J., additional, Mueller, Lukas A., additional, Azevedo, Camila Ferreira, additional, Fonseca e Silva, Fabyano, additional, Simiqueli, Guilherme Ferreira, additional, and Resende, Marcos Deon Vilela de, additional

Published
2021
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6. Conversion and Validation of Uniplex SNP Markers for Selection of Resistance to Cassava Mosaic Disease in Cassava Breeding Programs

Author

Ige, Adenike D., primary, Olasanmi, Bunmi, additional, Mbanjo, Edwige Gaby Nkouaya, additional, Kayondo, Ismail S., additional, Parkes, Elizabeth Y., additional, Kulakow, Peter, additional, Egesi, Chiedozie, additional, Bauchet, Guillaume J., additional, Ng, Enghwa, additional, Lopez-Lavalle, Luis Augusto Becerra, additional, Ceballos, Hernan, additional, and Rabbi, Ismail Y., additional

Published
2021
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12. The future of legume genetic data resources: Challenges, opportunities, and priorities

Author

Bauchet, Guillaume J., primary, Bett, Kirstin E., additional, Cameron, Connor T., additional, Campbell, Jacqueline D., additional, Cannon, Ethalinda K.S., additional, Cannon, Steven B., additional, Carlson, Joseph W., additional, Chan, Agnes, additional, Cleary, Alan, additional, Close, Timothy J., additional, Cook, Douglas R., additional, Cooksey, Amanda M., additional, Coyne, Clarice, additional, Dash, Sudhansu, additional, Dickstein, Rebecca, additional, Farmer, Andrew D., additional, Fernández‐Baca, David, additional, Hokin, Samuel, additional, Jones, Elizabeth S., additional, Kang, Yun, additional, Monteros, Maria J., additional, Muñoz‐Amatriaín, María, additional, Mysore, Kirankumar S., additional, Pislariu, Catalina I., additional, Richards, Chris, additional, Shi, Ainong, additional, Town, Christopher D., additional, Udvardi, Michael, additional, Wettberg, Eric Bishop, additional, Young, Nevin D., additional, and Zhao, Patrick X., additional

Published
2019
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14. Large‐scale genome‐wide association study, using historical data, identifies conserved genetic architecture of cyanogenic glucoside content in cassava (Manihot esculenta Crantz) root.

Author

Ogbonna, Alex C., Braatz de Andrade, Luciano Rogerio, Rabbi, Ismail Y., Mueller, Lukas A., Jorge de Oliveira, Eder, and Bauchet, Guillaume J.

Subjects
CASSAVA, ROOT crops, GLUCOSIDES, SWEETNESS (Taste), HYDROCYANIC acid, PLANT defenses
Abstract

Summary: Manihot esculenta (cassava) is a root crop originating from South America that is a major staple in the tropics, including in marginal environments. This study focused on South American and African germplasm and investigated the genetic architecture of hydrogen cyanide (HCN), a major component of root quality. HCN, representing total cyanogenic glucosides, is a plant defense component against herbivory but is also toxic for human consumption. We genotyped 3354 landraces and modern breeding lines originating from 26 Brazilian states and 1389 individuals were phenotypically characterized across multi‐year trials for HCN. All plant material was subjected to high‐density genotyping using genotyping by sequencing. We performed genome‐wide association mapping to characterize the genetic architecture and gene mapping of HCN. Field experiments revealed strong broad‐ and narrow‐sense trait heritability (0.82 and 0.41, respectively). Two major loci were identified, encoding for an ATPase and a MATE protein, and contributing up to 7 and 30% of the HCN concentration in roots, respectively. We developed diagnostic markers for breeding applications, validated trait architecture consistency in African germplasm and investigated further evidence for the domestication of sweet and bitter cassava. Fine genomic characterization revealed: (i) the major role played by vacuolar transporters in regulating HCN content; (ii) the co‐domestication of sweet and bitter cassava major alleles are dependent upon geographical zone; and (iii) the major loci allele for high HCN in M. esculenta Crantz seems to originate from its ancestor, M. esculenta subsp. flabellifolia. Taken together, these findings expand our insights into cyanogenic glucosides in cassava roots and its glycosylated derivatives in plants. [ABSTRACT FROM AUTHOR]

Published
2021
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15. Breedbase: a digital ecosystem for modern plant breeding.

Author

Morales N, Ogbonna AC, Ellerbrock BJ, Bauchet GJ, Tantikanjana T, Tecle IY, Powell AF, Lyon D, Menda N, Simoes CC, Saha S, Hosmani P, Flores M, Panitz N, Preble RS, Agbona A, Rabbi I, Kulakow P, Peteti P, Kawuki R, Esuma W, Kanaabi M, Chelangat DM, Uba E, Olojede A, Onyeka J, Shah T, Karanja M, Egesi C, Tufan H, Paterne A, Asfaw A, Jannink JL, Wolfe M, Birkett CL, Waring DJ, Hershberger JM, Gore MA, Robbins KR, Rife T, Courtney C, Poland J, Arnaud E, Laporte MA, Kulembeka H, Salum K, Mrema E, Brown A, Bayo S, Uwimana B, Akech V, Yencho C, de Boeck B, Campos H, Swennen R, Edwards JD, and Mueller LA

Subjects
Algorithms, Crops, Agricultural genetics, Software, Ecosystem, Plant Breeding
Abstract

Modern breeding methods integrate next-generation sequencing and phenomics to identify plants with the best characteristics and greatest genetic merit for use as parents in subsequent breeding cycles to ultimately create improved cultivars able to sustain high adoption rates by farmers. This data-driven approach hinges on strong foundations in data management, quality control, and analytics. Of crucial importance is a central database able to (1) track breeding materials, (2) store experimental evaluations, (3) record phenotypic measurements using consistent ontologies, (4) store genotypic information, and (5) implement algorithms for analysis, prediction, and selection decisions. Because of the complexity of the breeding process, breeding databases also tend to be complex, difficult, and expensive to implement and maintain. Here, we present a breeding database system, Breedbase (https://breedbase.org/, last accessed 4/18/2022). Originally initiated as Cassavabase (https://cassavabase.org/, last accessed 4/18/2022) with the NextGen Cassava project (https://www.nextgencassava.org/, last accessed 4/18/2022), and later developed into a crop-agnostic system, it is presently used by dozens of different crops and projects. The system is web based and is available as open source software. It is available on GitHub (https://github.com/solgenomics/, last accessed 4/18/2022) and packaged in a Docker image for deployment (https://hub.docker.com/u/breedbase, last accessed 4/18/2022). The Breedbase system enables breeding programs to better manage and leverage their data for decision making within a fully integrated digital ecosystem., (© The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America.)

Published
2022
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