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231225s2017 xx |||||o 00| ||eng c |
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|a 10.1270/jsbbs.16161
|2 doi
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|a pubmed24n0913.xml
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|a (NLM)28744174
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|a DE-627
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|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Huang, Zhen
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Analysis of cold resistance and identification of SSR markers linked to cold resistance genes in Brassica rapa L
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| 264 |
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|c 2017
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Revised 30.09.2020
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Currently, cold temperatures are one of the main factors threatening rapeseed production worldwide; thus, it is imperative to identify cold-resistant germplasm and to cultivate cold-resistant rapeseed varieties. In this study, the cold resistance of four Brassica rapa varieties was analyzed. The cold resistance of Longyou6 and Longyou7 was better than that of Tianyou2 and Tianyou4. Thus, an F2 population derived from Longyou6 and Tianyou4 was used to study the correlation of cold resistance and physiological indexes. Our results showed that the degree of frost damage was related to the relative conductivity and MDA content (r1 = 0.558 and r2 = 0.447, respectively). In order to identify the markers related to cold resistance, 504 pairs of SSR (simple sequence repeats) primers were used to screen the two parents and F2 population. Four and five SSR markers had highly significant positive correlation to relative conductivity and MDA, respectively. In addition, three of these SSR markers had a highly significant positive correlation to both of these two indexes. These three SSR markers were subsequently confirmed to be used to distinguish between cold-resistant and non-cold-resistant varieties. The results of this study will lay a solid foundation for the mapping of cold-resistant genes and molecular markers assisted selection for the cold-resistance
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|a Journal Article
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| 650 |
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|a Brassica rapa
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| 650 |
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4 |
|a SSR markers
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| 650 |
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4 |
|a cold resistance
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| 650 |
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4 |
|a correlation
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| 700 |
1 |
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|a Zhang, Xuexian
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Jiang, Shouhua
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Qin, Mengfan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhao, Na
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lang, Lina
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liu, Yaping
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Tian, Zhengshu
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liu, Xia
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Yang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Binbin
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Xu, Aixia
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Breeding science
|d 1998
|g 67(2017), 3 vom: 25. Juni, Seite 213-220
|w (DE-627)NLM098238299
|x 1344-7610
|7 nnns
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| 773 |
1 |
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|g volume:67
|g year:2017
|g number:3
|g day:25
|g month:06
|g pages:213-220
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|u http://dx.doi.org/10.1270/jsbbs.16161
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