Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Sang, He"'
Autor:
Sang, He1 (AUTHOR), Jin, Han1 (AUTHOR), Song, Peng1 (AUTHOR), Xu, Wei1 (AUTHOR), Wang, Fei1 (AUTHOR) wangfei0801@126.com
Publikováno v:
Scientific Reports. 7/26/2024, Vol. 14 Issue 1, p1-11. 11p.
Publikováno v:
In iScience 21 June 2024 27(6)
Autor:
Monthana Weerawatanakorn, Sang He, Chun-Han Chang, Yen-Chun Koh, Meei-Ju Yang, Min-Hsiung Pan
Publikováno v:
ACS Omega, Vol 8, Iss 37, Pp 33997-34007 (2023)
Externí odkaz:
https://doaj.org/article/86888e41b7184094b1b1b0821b92246e
Publikováno v:
Rice, Vol 16, Iss 1, Pp 1-12 (2023)
Abstract The multi-environment genomic selection enables plant breeders to select varieties resilient to diverse environments or particularly adapted to specific environments, which holds a great potential to be used in rice breeding. To realize the
Externí odkaz:
https://doaj.org/article/3a15567ffb224707a9da86b6e447bdff
Akademický článek
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Autor:
Xintong Yang, Xingzheng Li, Qi Bao, Zhen Wang, Sang He, Xiaolu Qu, Yueting Tang, Bangmin Song, Jieping Huang, Guoqiang Yi
Publikováno v:
Genes, Vol 15, Iss 2, p 166 (2024)
In the Suidae family, warthogs show significant survival adaptability and trait specificity. This study offers a comparative genomic analysis between the warthog and other Suidae species, including the Luchuan pig, Duroc pig, and Red River hog. By in
Externí odkaz:
https://doaj.org/article/0457c4fd3c2f4412ac6e332aac30b475
Publikováno v:
Crop Journal, Vol 10, Iss 4, Pp 1073-1082 (2022)
Germplasm conserved in gene banks is underutilized, owing mainly to the cost of characterization. Genomic prediction can be applied to predict the genetic merit of germplasm. Germplasm utilization could be greatly accelerated if prediction accuracy w
Externí odkaz:
https://doaj.org/article/f09bcd5e61d5480ebe0eca0e56337d73
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0283989 (2023)
Direct seeding has been widely adopted as an economical and labor-saving technique in rice production, though problems such as low seedling emergence rate, emergence irregularity and poor lodging resistance are existing. These problems are currently
Externí odkaz:
https://doaj.org/article/468f4b43dfc44d8e8b47ab0fe5788fb0
Multi-Trait Genomic Prediction Models Enhance the Predictive Ability of Grain Trace Elements in Rice
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Multi-trait (MT) genomic prediction models enable breeders to save phenotyping resources and increase the prediction accuracy of unobserved target traits by exploiting available information from non-target or auxiliary traits. Our study evaluated dif
Externí odkaz:
https://doaj.org/article/1a692ba6ccec4ea8b2217f4536458ab8