Crops ›› 2016, Vol. 32 ›› Issue (1): 33-37.doi: 10.16035/j.issn.1001-7283.2016.01.007

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The Isolation of Crude Fat and Fatty Acid Components in a RIL Population of Oil Flax and Their Correlation Analysis

Zhao Li,Wang Limin,Zhao Wei,Dang Zhao,Zhang Jianping,Dang Zhanhai   

  1. Crop Institute,Gansu Academy of Agricultural Sciences,Lanzhou 730070,Gansu,China
  • Received:2015-10-29 Revised:2015-12-21 Online:2016-02-15 Published:2018-08-25

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Abstract:

In order to understand the isolation and distribution of crude fat and fatty acids composition in the RIL population of oil flax, the paper analyzed the isolation and distribution about crude fat, palmitic acid, stearic acid, oleic acid, linoleic acid and linolenic acid of oil flax seed and their correlations among each other in a recombinant inbred lines (RIL, DYM×STS, F6∶7) and their parents. The results showed that the above quality characters appeared continuous variation. The frequency of their content, the skewness and kurtosis fitted normal distribution, and appeared transgressive segregation. They were expressed as the number of genetic traits. The genetic characteristic of crude fat content tended to the DYM, and 5 kinds of fatty acid composition were inclined to the average value of parents. The oleic acid had a significant negative correlation with crude fat and linolenic acid, and had a very significant negative correlation with linoleic acid, and had a very significantly positive correlation with stearic acid. Linolenic acid had a very significantly negative correlation with palmitic acid, stearic acid and linoleic acid content. Linoleic acid content had a significant positive correlation with palmitic acid content. 16 lines with special excellent quality traits were selected for quality breeding.

Key words: Flaxseed, Recombinant inbred lines, Crude fat, Fatty acid, Correlation analysis

Fig.1

Content of crude fat frequency distribution"

Table 1

The variation of crude fat and fatty acid in the RIL population"

品质性状
Quality character		 亲本（Parents） RIL群体（RIL population）
母本
（%）
Female		 父本
（%）
Male		 平均数
（%）
Average		 平均数（%）
Average		 变幅
（%）
Range		 变异系数（%）
Coefficient of
variation		 标准差
Stdev		 偏度
Coefficientof
skewness		 峰度
Kurtosis
粗脂肪含量Crude content 40.79 43.32 42.06 41.38 34.56~47.50 5.07 2.10 -0.441 0.375
棕榈酸含量Palmitic acid 6.46 5.58 6.02 6.03 4.90~7.04 7.46 0.45 -0.340 -0.716
硬脂酸含量Stearic acid 4.83 3.78 4.31 4.28 2.89~6.18 16.96 0.73 0.190 -0.779
油酸含量Oleic acid 21.94 24.91 23.43 23.90 17.65~31.29 10.97 2.62 -0.091 -0.607
亚油酸含量Linoleic acid 27.31 13.51 20.41 19.69 11.47~30.87 25.49 5.02 0.198 -1.450
亚麻酸含量Linolenic acid 39.47 52.23 45.85 46.10 35.56~58.04 10.46 4.82 -0.014 -0.891

Fig.2

Content of pahnitic acid frequency distribution"

Fig.3

Content of stearic acid frequency distribution"

Fig.4

Content of oleic acid frequency distribution"

Fig.5

Content of linoleic acid frequency distribution"

Fig.6

Content of linolenic acid frequency distribution"

Table 2

The comparation of crude fat and fatty acid in the RIL population and their parents"

性状
Character		 超高亲株系
Lines over parents with high value		 介于双亲之间株系
Lines between parents		 超低亲株系
Lines less than parents with low value
数量(个)Amount 比率（%）Rate 数量（个）Amount 比率（%）Rate 数量（个）Amount 比率（%）Rate
粗脂肪含量Crude content 35 15.22 128 55.65 67 29.13
棕榈酸含量Palmitic acid 40 17.39 144 62.61 46 20.00
硬脂酸含量Stearic acid 58 25.22 102 44.35 70 30.43
油酸含量Oleic acid 90 39.13 83 36.09 57 24.78
亚油酸含量Linoleic acid 9 3.91 106 46.09 15 6.52
亚麻酸含量Linolenic acid 24 10.43 186 80.87 20 8.70

Table 3

The correlations of the quality characters in the RIL population"

性状
Character		 粗脂肪含量
Crude conten		 棕榈酸含量
Palmitic acid		 硬脂酸含量
Stearic acid		 油酸含量
Oleic acid		 亚油酸含量
Linoleic acid		 亚麻酸含量
Linolenic acid
粗脂肪含量Crude content 1
棕榈酸含量Palmitic acid 0.00 1
硬脂酸含量Stearic acid -0.74 -0.069 1
油酸含量Oleic acid -0.139* -0.037 0.228** 1
亚油酸含量Linoleic acid 0.023 0.137* -0.033 -0.406** 1
亚麻酸含量Linolenic acid 0.062 -0.205** -0.234** -0.153* -0.828** 1
[1] 廖丽萍, 肖爱平, 冷鹃 , 等. 不同品种亚麻籽脂肪酸含量的GC-MS分析. 中国麻业科学, 2014,36(2):68-71.
[2] 狄济乐 . 亚麻籽作为一种功能食品来源的研究. 中国油脂, 2002,27(4):55-57.
[3] Ranbotar G S . Lipidemic response in rats of flaxseed oil and meal. Cereal Chemistry, 1993,70(3):364-366.
[4] Bhatty R S . Compositional analysis of laboratory-prepared and commercial samples of linseed meal and of hull isolated from flax. Journal of the American Oil Chemists Society, 1990,67(2):79-84.
doi: 10.1007/BF02540631
[5] 王利华, 霍贵成 . ω-3不饱和脂肪酸的生物学作用. 东北农业大学学报, 2001,32(1):53-55.
[6] 杭晓敏, 唐涌濂, 柳向龙 . 多不饱和脂肪酸的研究进展. 生物工程进展, 2001,21(4):18-20.
[7] 王萍, 张银波, 江木兰 . 多不饱和脂肪酸的研究进展. 中国油脂, 2008,33(12):42-46.
[8] 周亚东, 李明, 苏钰 , 等. 亚麻种质资源脂肪酸组分含量与品质性状的相关分析. 东北农业大学学报, 2010,41(9):21-26
[9] 赵利, 党占海, 张建平 , 等. 不同类型胡麻品种资源品质特性及其相关性研究. 干旱地区农业研究, 2008,26(5):6-9,16.
[10] 赵利, 党占海, 张建平 . 甘肃胡麻地方品种种质资源品质分析. 中国油料作物学报, 2006,28(3):282-286.
[11] 赵利, 党照, 王利民 , 等. 胡麻资源的品质分析.山西特色农产品, 2015(2):18-20.
[12] 王利民, 党占海, 张建平 , 等. 胡麻农艺性状与品质性状的相关性分析. 中国农学通报, 2013,29(27):88-92.
[13] 党照, 赵利 . 利用近红外分析技术测定胡麻种质资源品质. 西北农业学报, 2008,17(2):110-113
[14] 赵利, 党占海, 李毅 . 甘肃胡麻地方种质资源品质特性研究. 西北植物学报, 2006,26(12):2453-2457.
[15] 石培春, 张薇, 曹连莆 , 等. 小麦RIL群体中籽粒蛋白质组分的分离与主要品质性状的相关分析. 石河子大学学报(自然科学版), 2005,23(4):457-460
[16] 李卫华, 许奇, 李保云 . 小麦高分子量麦谷蛋白亚基在RIL群体中的分离及遗传分析. 新疆农业大学学报, 2010,33(2):101-104.
[17] 李卫华, 张世华, 郅洁 , 等. 小麦品质性状在RIL群体中的分离分布规律及与Zeleny 沉淀值的回归分析. 新疆农业科学, 2007,44(2):132-136.
[18] 马政, 薄凯亮, 冀刚 , 等. 西双版纳黄瓜RIL群体叶绿素含量的遗传分析. 中国瓜菜, 2011,24(6):11-13.
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