Crops ›› 2023, Vol. 39 ›› Issue (6): 47-53.doi: 10.16035/j.issn.1001-7283.2023.06.007

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Agronomic Characteristics Evaluation on Introduced Flax Germplasm Resources

Qu Zhihua(), Zhang Lili, Hu Yang, Qiao Haiming, Li Feng, Bai Wei()   

  1. Zhangjiakou Academy of Agricultural Sciences, Zhangjiakou 075000, Hebei, China
  • Received:2023-02-13 Revised:2023-06-08 Online:2023-12-15 Published:2023-12-15

Abstract:

In order to utilize efficient 110 flax germplasm resources imported from the United States, ten main agronomic characteristics were analysed. The results showed that the genetic diversity indexes were 0.26 to 2.04, the variation coefficients were 13.85% to 90.79%. Correlation analysis and path analysis showed that the seed yield per plot forms highly significant positive correlation with tiller stem number, branching number, capsule number and seeds per plant, and the capsule number had the highest effect on the seed yield per plot, and had high direct effect and indirect effect. Through principal component analysis, the yield factor, fiber factor and ineffective factor were extracted, and the accumulating contribution rate was 72.796%. Through clustering analysis, the 110 flax germplasm were divided into six categories, among which the resource materials in categories IV, V, and VI had excellent agronomic traits and high utilization value.

Key words: Flax (Linum usitatissimum L.), Germplasm resources, Agronomic characteristics

Table 1

The names of flax germplasms"

序号
Code
全国统一编号
National uniform number
名称
Name
类型
Type
序号
Code
全国统一编号
National uniform number
名称
Name
类型
Type
1 53 LONG 83 油用 56 377 CI679×BISON (II-33-P5) 两用
2 148 RUSSIAN INTRO. 油用 57 379 LIRAL MONARCH 油用
3 284 BIWING (BISON×REDW) 两用 58 380 KOTO×BISON (D40-8) 油用
4 286 BISON×REDWING 油用 59 383 KOTO×RENEWLD40-30 油用
5 287 AVON 油用 60 385 ARROW 油用
6 288 BISON×ABY.YELLOW 两用 61 386 DAKOTA 两用
7 289 BISON×ABY.YELLOW 两用 62 390 KBO×RDWY 两用
8 290 RIO×CI 26 SEL 2 油用 63 391 80.29.25 SELECTION 两用
9 292 BISON×CI 36 油用 64 392 80.377.4 SELECTION 两用
10 294 BISON×CI36 油用 65 393 MINN.II-36-P4 两用
11 295 BISON×CI 36 油用 66 397 RIO×B GOLD×BUDA 两用
12 296 BISON × CI 36 油用 67 398 BISON/REWLD//479/BIS 油用
13 297 RISON ×CI 36 油用 68 399 RENEW×BISON 油用
14 298 CI 300×355 油用 69 402 RENEW×BISON 油用
15 299 CI 300×355 油用 70 403 RENEW×KOTO 两用
16 300 CI 300×355 油用 71 404 KOTO×REDWING 两用
17 301 CI 342×B GOLDEN 油用 72 406 KOTO×CI 914 油用
18 302 CI 342×644.SEL.6 油用 73 407 GIBE×914 油用
19 303 CI 342×644.SEL.7 油用 74 408 OTTAWA 770B×BISON 两用
20 304 B GOLD×REDWING 644×3 油用 75 409 KLEIN NO.11 两用
21 305 B GOLD×REDWING 644×3 油用 76 411 6962/40 两用
22 306 B GOLD×REDWING 644×3 油用 77 412 7223/40 油用
23 308 B GOLD×REDWING 644×3 油用 78 413 6916/40 油用
24 310 B GOLD×REDWING 644×3 油用 79 423 CRYSTAL×REDSON (II-41) 两用
25 311 B GOLD×BISON 644×3 油用 80 429 BISON/JWS//1073 两用
26 313 B GOLD×BISON 644×3 油用 81 432 MINN.11-36-P254 油用
27 316 BUDA×BISON 油用 82 433 MINN.II-36-P255 两用
28 317 BISON×RIO 油用 83 436 BIWING×CI980 (II-40-3 油用
29 318 BISON×RIO 油用 84 437 BIWING×CI980 (II-40-3) 油用
30 320 BISON×REDWING 11-29- 油用 85 453 CI 975×SHEYENNE 油用
31 321 BISON×REDWING II-29- 油用 86 458 CRY.×REDSON (II-41-2) 油用
32 322 BISON×479 II-30-52 油用 87 494 QUERANDI 两用
33 323 WALSH×BUDA 油用 88 495 LA PREVISION 两用
34 324 BUDA×ARG.NO.1 油用 89 496 PERGAMINA6962-1 两用
35 325 CRYSTAL 油用 90 497 PERGAMINO 6962-2 两用
36 326 BISON×649 油用 91 498 PERGAMINO 7223-1 油用
37 327 BISON ×649 II-31-2 油用 92 515 10392/46 两用
38 328 RISON×649 油用 93 516 10394/46 油用
39 329 BISON×387-1 II-31-13 两用 94 517 10395/46 油用
40 330 BISON×387-1 II-31-13 油用 95 518 10396/46 油用
41 331 ITALIN ROMA 油用 96 519 10397/46 油用
42 332 PS 1600 油用 97 520 10398/46 两用
43 333 Q-1 油用 98 521 10399/46 油用
44 334 EWIGEN 100 油用 99 522 10401/46 两用
45 335 INDIAN 12-12 两用 100 523 10402/46 油用
46 336 BUDA 80×RIOvB.GOL 两用 101 524 10403/46 油用
47 337 CREPITANA (PRIMAVERA) 油用 102 525 10404/46 油用
48 339 CREPITANS MOURISCOET 油用 103 526 10407/46 油用
49 341 MED.TYPE MOURISCOE17 油用 104 565 10457/46 油用
50 350 TASH 两用 105 573 10469/46 纤用
51 353 C.I. 355× BISON 两用 106 575 10471/46 纤用
52 354 C.I.355×BISON 两用 107 576 10472/46 油用
53 373 KOTO×RENEW, SEL 4028 油用 108 623 CONCU RRENT 油用
54 374 KOTO×BUDA 80.SEL 40 油用 109 625 HERCULESE 油用
55 376 CI679×BISON (II-33-P4) 两用 110 626 HOLLANDIA 油用

Table 2

The variation parameter of main agronomic characteristics"

性状
Characteristic
平均值
Mean
标准差
Standard
deviation
变异系数
Coefficient of
variation
最小值
Minimum
最大值
Maximum
遗传多样
性指数
H′
频率分布
Ratio of distribution (%)
1 2
株高Plant height 58.01 8.04 13.85 26.80 82.50 1.92
工艺长度Technial length 35.69 6.36 17.82 22.30 57.35 2.04
分茎数Tiller stem number 1.16 0.59 50.43 0.10 2.70 2.02
分枝数Branching number 6.48 1.55 23.96 0.60 11.60 1.99
蒴果数Capsule number 32.74 15.03 45.90 9.90 97.70 1.95
无效果数Invalid capsule number 0.99 0.90 90.79 0.10 4.80 1.50
单株粒数Seeds per plant 153.95 21.40 13.90 70.00 193.00 1.86
小区种子产量Seed yield per plot 25.53 12.63 49.48 5.00 82.80 1.91
果皮颜色Capsule color 1.42 0.50 34.94 1.00 2.00 0.68 58.18 41.82
果实形状Capsule shape 1.07 0.26 24.32 1.00 2.00 0.26 92.73 7.27

Table 3

The correlation coefficients of main agronomic characteristics"

性状Characteristic X1 X2 X3 X4 X5 X6 X7
X1 1
X2 0.708** 1
X3 0.037 -0.083 1
X4 0.162 -0.081 0.379** 1
X5 0.233* -0.087 0.556** 0.612** 1
X6 -0.072 -0.081 0.046 0.091 0.038 1
X7 0.029 0.055 0.145 0.279** 0.291** -0.065 1
X8 0.118 -0.151 0.594** 0.598** 0.930** 0.027 0.363**

Table 4

The path coefficient analysis between yield and agronomic characteristics"

性状
Characteristic
直接通径系数
Direct path coefficient
间接通径系数Indirect path coefficient
X1 X2 X3 X4 X5 X6 X7
X1 -0.078 -0.013 0.004 0.004 0.197 0.001 0.003
X2 -0.018 -0.055 -0.008 -0.002 -0.074 0.001 0.005
X3 0.101 -0.003 0.001 0.010 0.470 -0.001 0.014
X4 0.028 -0.013 0.001 0.038 0.518 -0.001 0.027
X5 0.846 -0.018 0.002 0.056 0.017 0.000 0.028
X6 -0.012 0.006 0.001 0.005 0.003 0.032 -0.006
X7 0.097 -0.002 -0.001 0.015 0.008 0.246 0.001

Table 5

The principal component analysis of agronomic characteristics"

性状
Characteristic
第1主成分
The first principal component
第2主成分
The second principal component
第3主成分
The third principal component
X1 0.205 0.903 0.157
X2 -0.086 0.924 0.084
X3 0.700 -0.104 0.093
X4 0.759 -0.058 0.088
X5 0.928 0.019 0.031
X6 0.061 -0.206 0.874
X7 0.447 0.073 -0.463
X8 0.938 -0.076 -0.035
特征值Eigenvalue 3.062 1.734 1.028
贡献率Contribution rate (%) 38.271 21.673 12.852
累积贡献率Cumulative contribution rate (%) 38.271 59.944 72.796

Fig.1

The cluster dendrogram of 110 flax germplasm resources"

[1] 张家口市农业科学院. 冀北农业科普教材. 北京: 中国农业科学技术出版社, 2012.
[2] Xie D W, Dai Z G, Yang Z M, et al. Genome-wide association study identifying candidate genes influencing important agronomic traits of flax (Linum usitatissimum L.) using SLAF-seq. Frontiers in Plant Science, 2017, 8:2232-2335.
doi: 10.3389/fpls.2017.02232
[3] Vijaimohan K, Jainu M, Sabitha K E, et al. Beneficial effects of alpha linoleic acid rich flax seed oil on growth performance and hepatic cholesterol metabolism in high fat diet fed rat. Life Sciences, 2006, 79(5):448-454.
pmid: 16490217
[4] Xu J Q, Wei Y, Deng Q C, et al. Flaxseed oil and α-lipoic acid combination reduces atherosclerosis risk factors in rats fed a high-fat diet. Lipids in Health and Disease, 2012, 11(1):148-154.
doi: 10.1186/1476-511X-11-148
[5] 王莉, 冯贝贝, 张龑, 等. 新疆地方种亚麻农艺性状多元统计分析. 分子植物育种, 2021, 19(2):640-646.
[6] 冯章丽, 于文全, 顾广军, 等. 东北部分地区山荆子种质资源表型多样性及聚类分析. 植物遗传资源学报, 2016, 17(6):984-992.
[7] 万述伟, 宋凤景, 郝俊杰, 等. 271份豌豆种质资源农艺性状遗传多样性分析. 植物遗传资源学报, 2017, 18(1):10-18.
doi: 10.13430/j.cnki.jpgr.2017.01.002
[8] 郭栋良, 江海霞, 张喻, 等. 国外引进亚麻种质资源遗传多样性分析. 新疆农业科学, 2019, 56(11):2112-2122.
doi: 10.6048/j.issn.1001-4330.2019.11.018
[9] 王玉富, 贾婉琪, 薛召东, 等. 国外引进亚麻种质资源的聚类分析及评价. 植物遗传资源学报, 2010, 11(5):548-554.
[10] 王利民, 张建平, 米君, 等. 国外引进油用亚麻品种资源农艺性状分析与评价. 中国油料作物学报, 2011, 33(4):356-361.
[11] 李秋芝, 姜颖, 鲁振家, 等. 300份亚麻种质资源主要农艺性状的鉴定及评价. 中国麻业科学, 2017, 39(4):172-179.
[12] 张丽丽, 刘晶晶, 乔海明, 等. 从俄罗斯引进亚麻种质资源的农艺性状评价. 中国油料作物学报, 2017, 39(5):698-703.
[13] 曲志华, 白苇, 张丽丽, 等. 170份亚麻种质资源主要农艺性状分析. 作物杂志, 2019(4):77-83.
[14] 侯静静, 晋芳, 赵利, 等. 16个油用亚麻新品系的农艺及品质性状综合评价. 作物杂志, 2022(5):42-48.
[15] 邓欣, 陈信波, 龙松华, 等. 10个亚麻品种亲缘关系的RAPD分析. 中国麻业科学, 2007, 29(4):184-188.
[16] 李明. 亚麻种质资源遗传多样性与亲缘关系的AFLP分析. 作物学报, 2011, 37(4):635-640.
[17] Habibollahi H, Noormohammadi Z, Sheidai M, et al. SSR and EST-SSR-based population genetic structure of Linum L. (Linaceae) species in Iran. Genetic Resources and Crop Evolution, 2015, 63(7):1127-1138.
doi: 10.1007/s10722-015-0306-7
[18] 李斌, 卢宝明, 顾万春. 白皮松天然群体种实性状表型多样性研究. 生物多样性, 2002, 10(2):181-188.
doi: 10.17520/biods.2002023
[19] 王玉富, 粟建光. 亚麻种质资源描述规范和数据标准. 北京: 中国农业出版社, 2006.
[20] 陈雪燕, 王亚娟, 雒景吾, 等. 陕西省小麦地方品种主要性状的遗传多样性研究. 麦类作物学报, 2007, 27(3):456-460.
[21] 田彩平, 党占海, 张建平. 外引亚麻品种资源的聚类分析及评价. 西北农业学报, 2008, 17(5):200-203.
[22] 宋军生, 党占海, 张建平, 等. 油用亚麻品种资源农艺性状的主成分及聚类分析. 西南农业学报, 2015, 28(2):492-497.
[23] 李建增, 杨若菡, 吴学英, 等. 外引油用亚麻品种资源鉴定与评价. 西南农业学报, 2017, 30(10):2210-2217.
[24] Martynov S P, Dobrotvorskaya T V. Genealogical analysis of diversity of russian winter wheat cultivars (Triticum aestivum L.). Genetic Resources and Crop Evolution, 2006, 53(2):379-386.
doi: 10.1007/s10722-004-0572-2
[25] Masumbuko L I, Bryngelsson T. Inter simple sequence repeat (ISSR) analysis of diploid coffee species and cultivated Coffea arabica L. from Tanzania. Genetic Resources and Crop Evolution, 2006, 53(2):357-366.
doi: 10.1007/s10722-004-0577-x
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