Zobrazeno 1 - 10
of 26
pro vyhledávání: '"quantitative trait nucleotides (QTNs)"'
Autor:
Xu Wu, Yuhe Wang, Jiapei Xie, Zhenhong Yang, Haiyan Li, Yongguang Li, Weili Teng, Xue Zhao, Yuhang Zhan, Yingpeng Han
Publikováno v:
Agronomy, Vol 14, Iss 11, p 2457 (2024)
Soybean (Glycine max (L.) Merr.) is an important crop for both food and feed, playing a significant role in agricultural production and the human diet. During long-term storage, soybean seeds often exhibit reduced quality, decreased germination, and
Externí odkaz:
https://doaj.org/article/a53415f902784a4a9875dc19ad446232
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ammar Elakhdar, Jan J. Slaski, Takahiko Kubo, Aladdin Hamwieh, Guillermo Hernandez Ramirez, Aaron D. Beattie, Ludovic J.A. Capo-chichi
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Low-temperature stress (LTS) is among the major abiotic stresses affecting the geographical distribution and productivity of the most important crops. Understanding the genetic basis of photosynthetic variation under cold stress is necessary for deve
Externí odkaz:
https://doaj.org/article/8054ce1b04664f3ebc3c003751cf25b7
Autor:
Yanan Niu, Tianxiao Chen, Chunchao Wang, Kai Chen, Congcong Shen, Huizhen Chen, Shuangbing Zhu, Zhichao Wu, Tianqing Zheng, Fan Zhang, Jianlong Xu
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-14 (2021)
Abstract Background Grain weight and grain shape are important agronomic traits that affect the grain yield potential and grain quality of rice. Both grain weight and grain shape are controlled by multiple genes. The 3,000 Rice Genomes Project (3 K R
Externí odkaz:
https://doaj.org/article/ec9eb39acbba401788dce5611a143fe1
Autor:
Liqiang He, Jin Xiao, Khalid Y. Rashid, Zhen Yao, Pingchuan Li, Gaofeng Jia, Xiue Wang, Sylvie Cloutier, Frank M. You
Publikováno v:
Frontiers in Plant Science, Vol 9 (2019)
Pasmo is one of the most widespread diseases threatening flax production. To identify genetic regions associated with pasmo resistance (PR), a genome-wide association study was performed on 370 accessions from the flax core collection. Evaluation of
Externí odkaz:
https://doaj.org/article/d35588c7f9a54554a175b088489c9f5c
Autor:
Frank M. You, Khalid Y. Rashid, Chunfang Zheng, Nadeem Khan, Pingchuan Li, Jin Xiao, Liqiang He, Zhen Yao, Sylvie Cloutier
Publikováno v:
International Journal of Molecular Sciences; Volume 23; Issue 9; Pages: 4960
Powdery mildew (PM), caused by the fungus Oidium lini in flax, can cause defoliation and reduce seed yield and quality. To date, one major dominant gene (Pm1) and three quantitative trait loci (QTL) on chromosomes 1, 7 and 9 have been reported for PM
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Hui-Zhen Chen, Kai Chen, Fan Zhang, Tianxiao Chen, Congcong Shen, Tianqing Zheng, Chunchao Wang, Yanan Niu, Zhichao Wu, Jianlong Xu, Shuangbing Zhu
Publikováno v:
BMC Genomics
BMC Genomics, Vol 22, Iss 1, Pp 1-14 (2021)
BMC Genomics, Vol 22, Iss 1, Pp 1-14 (2021)
Background Grain weight and grain shape are important agronomic traits that affect the grain yield potential and grain quality of rice. Both grain weight and grain shape are controlled by multiple genes. The 3,000 Rice Genomes Project (3 K RGP) great
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Kyle Hauck, Chunfang Zheng, Sylvie Cloutier, Frank M. You, Scott Duguid, Madison McCausland, Samuel Lan, Helen M. Booker
Publikováno v:
International Journal of Molecular Sciences, Vol 21, Iss 5, p 1577 (2020)
International Journal of Molecular Sciences
Volume 21
Issue 5
International Journal of Molecular Sciences
Volume 21
Issue 5
Molecular markers are one of the major factors affecting genomic prediction accuracy and the cost of genomic selection (GS). Previous studies have indicated that the use of quantitative trait loci (QTL) as markers in GS significantly increases predic