Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Yu-Qiu LI"'
Autor:
Guang YANG, Hong ZHAI, Hong-yan WU, Xing-zheng ZHANG, Shi-xiang LÜ, Ya-ying WANG, Yu-qiu LI, Bo HU, Lu WANG, Zi-xiang WEN, De-chun WANG, Shao-dong WANG, Harada Kyuya, Zheng-jun XIA, Fu-ti XIE
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 9, Pp 1900-1912 (2017)
Flowering time and branching type are important agronomic traits related to the adaptability and yield of soybean. Molecular bases for major flowering time or maturity loci, E1 to E4, have been identified. However, more flowering time genes in cultiv
Externí odkaz:
https://doaj.org/article/8e2dd76048fb48c682c503e39d6684d4
Autor:
Ya-ying Wang, Yu-qiu Li, Hong-yan Wu, Bo Hu, Jia-jia Zheng, Hong Zhai, Shi-xiang Lv, Xin-lei Liu, Xin Chen, Hong-mei Qiu, Jiayin Yang, Chun-mei Zong, De-zhi Han, Zi-xiang Wen, De-chun Wang, Zheng-jun Xia
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
Soybean was domesticated about 5,000 to 6,000 years ago in China. Although genotyping technologies such as genotyping by sequencing (GBS) and high-density array are available, it is convenient and economical to genotype cultivars or populations using
Externí odkaz:
https://doaj.org/article/977081b2ece54ccba49038fc1890871c
Akademický článek
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Publikováno v:
2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e36ab3d583a4768ccf0c4003f1caa01e
https://doi.org/10.1109/iaecst57965.2022.10062127
https://doi.org/10.1109/iaecst57965.2022.10062127
Publikováno v:
2022 8th International Conference on Mechanical Engineering and Automation Science (ICMEAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce0a05a0235fdf353d334e016e775660
https://doi.org/10.1109/icmeas57305.2022.00022
https://doi.org/10.1109/icmeas57305.2022.00022
Autor:
Zhang, Juan, Li, Ran, Jiang, Feng-Lei, Zhou, Bo, Luo, Qing-Ying, Yu, Qiu-Li-Yang, Han, Xiao-Le, Lin, Yi, He, Hong, Liu, Yi, Wang, Yun-Long
Publikováno v:
In Colloids and Surfaces B: Biointerfaces 1 May 2014 117:68-74
Publikováno v:
Minerva Endocrinology; Jun2023, Vol. 48 Issue 2, p160-171, 12p
Publikováno v:
Biomedical & Environmental Sciences; May2023, Vol. 36 Issue 5, p458-462, 5p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
Minerva Endocrinology.
Background Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with well-established metabolic abnormalities. In the present study, untargeted metabolomics technology was applied to analyze the serum and follicular fluid samples from wom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cf3888af72f204561c78ca00e61442f
https://doi.org/10.23736/s0391-1977.20.03199-5
https://doi.org/10.23736/s0391-1977.20.03199-5