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The opening of phenome-assisted selection era in the early seedling stage

Faster and more efficient breeding cycle is not an option to deal with unpredictable and fast global climate changes. Phenomics for collecting huge number of individuals in accurate manner could be an answer to solve this problem. We collected image data to measure plant height and manual data for s...

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Detalles Bibliográficos
Autores principales: Kim, Song Lim, Chung, Yong Suk, Silva, Renato Rodrigues, Ji, Hyeonso, Lee, Hongseok, Choi, Inchan, Kim, Nyunhee, Lee, Eungyeong, Baek, JeongHo, Lee, Gang-Seob, Kwon, Taek-Ryoun, Kim, Kyung-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616326/
https://www.ncbi.nlm.nih.gov/pubmed/31289331
http://dx.doi.org/10.1038/s41598-019-46405-3
Descripción
Sumario:Faster and more efficient breeding cycle is not an option to deal with unpredictable and fast global climate changes. Phenomics for collecting huge number of individuals in accurate manner could be an answer to solve this problem. We collected image data to measure plant height and manual data for shoot length to be compared. QTLs clustered of plant height and shoot length were detected in 2-week old seedlings, which was consistent with many other reports using various genetic resources in matured stage. Further, these traits are highly correlated with yield by pleiotropism or tight linkage of those traits. It implies the “phenome-assisted selection” can be applied for yield trait in rice in the very early stage to shorten the breeding cycle significantly in fast but low-cost manner.