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MGIS: Managing banana (#Musa# spp.) genetic resources information and high-throughput genotyping data

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Ruas M., Guignon V., Sempere G., Sardos J., Hueber Y., Duvergey H., Andrieu A., Chase R., Jenny C., Hazekamp T., Irish B., Jelali K., Adeka J., Ayala-Silva T., Chao C.P., Daniells J., Dowiya B., Effa Effa B., Gueco L., Herradura L., Ibobondji L., Kempenaers E., Kilangi J., Muhangi S., Ngo Xuan P., Paofa J., Pavis C., Thiemele D., Tossou C., Sandoval J.A., Sutanto A., Vangu Paka G., Yi G., Van Den Houwe I., Roux N., Rouard M.
2017

Unraveling the genetic diversity held in genebanks on a large scale is underway, due to advances in Next-generation sequence (NGS) based technologies that produce high-density genetic markers for a large number of samples at low cost. Genebank users should be in a position to identify and select germplasm from the global genepool based on a combination of passport, genotypic and phenotypic data. ...

Génétique et amélioration des plantes

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