Crops ›› 2018, Vol. 34 ›› Issue (2): 44-51.doi: 10.16035/j.issn.1001-7283.2018.02.008

Previous Articles     Next Articles

Variation of Agronomic Traits and Genetic Diversity in Wheat Germplasms

Zhang Shuai,Pang Yuhui,Wang Zhenghong,Wang Liming,Chen Chunyan,Zeng Zhankui,Wang Chunping   

  1. College of Agronomy, Henan University of Science & Technology, Luoyang 471023, Henan, China
  • Received:2017-12-13 Revised:2018-01-28 Online:2018-04-20 Published:2018-08-27

Abstract:

In order to understand the genetic variation and diversity in different ecological areas, 44 CIMMYT spring wheat and 45 domestic main wheat germplasms were analyzed by the 20 SSR primers. The results showed that the coefficient of variation in grain weight per plant, plant height and kernel number per spike were 36.7%, 16.4% and 15.6%, respectively. By 20 pairs of specific primers from 89 wheat germplasms, 162 alleles were detected, and allele number each primer ranged from 6 to 9 with the average of 8.1, in whcih the primer with the most abundant was Xgwm314; and polymorphism information content (PIC) values ranged from 0.0223 to 0.8177, with the average value of 0.5109. The range of the average effective number of alleles loci ranged from 0.2984 to 8.7818, and the most abundant polymorphism was Xgwm165 with the average value of 1.2215. Shannon’s information index ranged from 0.1114 to 0.3162, the average value was 0.2307. The results of cluster analysis showed that 89 wheat germplasms could be divided into two groups, the first category accounted for 25, and the plant height was lower; the second category accounted for 64, and most of the foreign materials were concentrated in this category. According to the main traits of wheat varieties (lines), it was urgent to broaden and create new wheat germplasm resources to provide excellent parent materials for breeding new wheat varieties.

Key words: Wheat, Germplasm, Genetic diversity, SSR marker, Agronomic trait

Table 1

Wheat varieties(lines) used in the experiment"

编号
Code
品种(系)
Variety (Line)
产地
Origin
编号
Code
品种(系)
Variety (Line)
产地
Origin
1 YAQUI 50 墨西哥 45 科林0369 中国河南
2 SONALIKA 墨西哥 46 西农2112 中国陕西
3 SIETE CERROS T66 墨西哥 47 周麦30 中国河南
4 PAVON F 76 墨西哥 48 轮选118 中国北京
5 SERI M 82 墨西哥 49 西农185 中国陕西
6 PBW343 墨西哥 50 九丰2号 中国黑龙江
7 ATTILA 墨西哥 51 豫研麦11 中国河南
8 ROELFS F2007 墨西哥 52 金麦25 中国天津
9 REEDLING #1 墨西哥 53 豫麦49 中国河南
10 KACHU #1 墨西哥 54 豫麦25 中国河南
11 SUPER 152 墨西哥 55 中育9307 中国河南
12 MISR 1 墨西哥 56 绿丰麦382 中国河南
13 BAJ #1 墨西哥 57 皖丰08991 中国安徽
14 FRANCOLIN #1 墨西哥 58 漯麦2267 中国河南
15 PICAFLOR #1 墨西哥 59 周麦31号 中国河南
16 DANPHE #1 墨西哥 60 西农16 中国陕西
17 PBW343*2/KUKUNA*2//FRTL/PIFED 墨西哥 61 小偃54 中国陕西
18 ATTILA*2/PBW65*2//KACHU 墨西哥 62 AMIGO 美国
19 CNO79//PF70354/MUS/3/ PASTOR/4/BAV92*2/5/FH6-1-7 墨西哥 63 中焦2号 中国北京
64 百农898 中国河南
20 KACHU #1/KIRITATI//KACHU 墨西哥 65 淮麦20 中国江苏
21 ATTILA*2/PBW65*2//MURGA 墨西哥 66 济麦22 中国山东
22 SUP152/TECUE #1//SUP152 墨西哥 67 良星66 中国山东
23 KACHU/DANPHE 墨西哥 68 郑麦7698 中国河南
24 VILLA JUAREZ F2009/DANPHE #1 墨西哥 69 陕509 中国陕西
25 SWSR22T.B./2*BLOUK #1//WBLL1*2/KURUKU 墨西哥 70 周麦26号 中国河南
26 Korea-31 韩国 71 轮选158 中国北京
27 Korea-32 韩国 72 许科316 中国河南
28 Korea-33 韩国 73 郑麦0856 中国河南
29 Korea-39 韩国 74 众麦8号 中国河南
30 DRT-1 墨西哥 75 百农207 中国河南
31 DRT-2 墨西哥 76 申0316 中国安徽
32 DRT-3 墨西哥 77 郑麦9023 中国河南
33 DRT-4 墨西哥 78 金粒106 中国吉林
34 DRT-5 墨西哥 79 乐麦1156 中国安徽
35 DRT-6 墨西哥 80 西农3517 中国陕西
36 DRT-9 墨西哥 81 郑麦366 中国河南
37 DRT-10 墨西哥 82 西农2611 中国陕西
38 BAJ1 墨西哥 83 周麦18 中国河南
39 BAJ2 墨西哥 84 矮抗58 中国河南
40 BAJ3 墨西哥 85 西农889 中国陕西
41 CIMMYT-1 墨西哥 86 西农9817 中国陕西
42 REEDLING(Borlaug 100) 墨西哥 87 周麦28号 中国河南
43 HYBRID 墨西哥 88 长河25 中国河南
44 泛麦11 中国河南 89 农麦1号 中国江苏

Table 2

SSR primers and their located chromosome"

编号
Code
引物
Primer
染色体
Chromosome
正向引物
Forward primer(5'-3')
反向引物
Reverse primer(5'-3')
1 Xgwm33 1A GGAGTCACACTTGTTTGTGCA CACTGCACACCTAACTACCTGC
2 Xwmc134 1B CCAAGCTGTCTGACTGCCATAG AGTATAGACCTCTGGCTCACGG
3 Xbarc181 1B CGCTGGAGGGGGTAAGTCATCAC CGCAAATCAAGAACACGGGAGAAAGAA
4 Xgdm33 1D GGCTCAATTCAACCGTTCTT TACGTTCTGGTGGCTGCTC
5 Xwmc522 2A AAAAATCTCACGAGTCGGGC CCCGAGCAGGAGCTACAAAT
6 Xgwm122 2A GGGTGGGAGAAAGGAGATG AAACCATCCTCCATCCTGG
7 Xwmc54 2B TATTGTGCAATCGCAGCATCTC TGCGACATTGGCAACCACTTCT
8 Xgwm114 2B ACAAACAGAAAATCAAAACCCG ATCCATCGCCATTGGAGTG
9 Xwmc144 2D GGACACCAATCCAACATGAACA AAGGATAGTTGGGTGGTGCTGA
10 Xbarc105 3A CAGGAAGAAAAGGAAAGCATGCGACAA GCGGTGTGGCAATAATTACTTTTT
11 Xbarc158 3B TGTGTGGGAAGAAACTGAGTCATC AGGAATACCAAAAGAAGCAAACCAAC
12 Xgwm314 3D AGGAGCTCCTCTGTGCCAC TTCGGGACTCTCTTCCCTG
13 Xgwm165 4A TGCAGTGGTCAGATGTTTCC CTTTTCTTTCAGATTGCGCC
14 Xgwm113 4B ATTCGAGGTTAGGAGGAAGAGG GAGGGTCGGCCTATAAGACC
15 Xbarc319 5A GCAGAGCTACGGCAATGT GCGTAAGTCCCGGAAGTAACAGAA
16 Xgwm234 5B GAGTCCTGATGTGAAGCTGTTG CTCATTGGGGTGTGTACGTG
17 Xgdm116 5B GCTGCAATGCAAGGTCTCTT GATGTGGCTTTCTAAGGCAA
18 Xgwm565 5D GCGTCAGATATGCCTACCTAGG AGTGAGTTAGCCCTGAGCCA
19 BARC144 5D GCGTTTTAGGTGGACGACATAGATAGA GCGCCACGGGCATTTCTCATAC
20 Xgwm471 7AS CGGCCCTATCATGGCTG GCTTGCAAGTTCCATTTTGC

Table 3

Variations of three traits in 89 wheat varieties (lines)"

性状Trait 最大值
Max
最小值
Min
平均值
Mean
极差
Range
标准偏差
Standard deviation
变异系数(%)
Coefficient of variation
株高Plant height (cm) 118.00 54.60 72.31 63.40 11.85 16.4
单株产量Grain weight per plant (g) 23.81 2.71 12.72 21.11 4.66 36.7
穗粒数Kernel number per spike 86.80 38.20 57.37 48.60 8.93 15.6

Fig.1

Amplified result of 48 wheat germplasms by Xgwm314 primer"

Table 4

Number of alleles detected at 20 SSR loci and PIC value at each locus"

引物
Primer
等位基因数目
Number of alleles
多态性信息含量
PIC
引物
Primer
等位基因数目
Number of alleles
多态性信息含量
PIC
Xgwm33 7 0.5147 Xgwm314 9 0.4501
Xwmc134 6 0.1717 Xgwm165 7 0.8177
Xbarc181 7 0.2319 Xgwm113 9 0.7444
Xgdm33 7 0.6844 Xbarc319 8 0.6319
Xwmc522 9 0.3272 Xgwm234 9 0.6844
Xgwm122 7 0.5898 Xgdm116 9 0.5147
Xwmc54 7 0.0223 Xgwm565 9 0.2708
Xgwm114 9 0.3455 BARC144 9 0.6181
Xwmc144 8 0.5455 Xgwm471 8 0.8080
Xbarc105 9 0.5605 总数Total 162 -
Xbarc158 9 0.6844 平均值Average 8.1 0.5109

Table 5

Genetic diversity level of 89 wheat germplasms"

品种(系)编号
Variety (line) code
平均每位点有效
等位基因数
Average of effective alleles
Shannon’s信息指数
Shannon's
information index
1 0.9602 0.2466
2 1.7506 0.2551
3 1.1655 0.2866
4 1.3853 0.2723
5 1.2448 0.2697
6 1.9384 0.3134
7 1.1436 0.2846
8 1.7976 0.3162
9 1.0068 0.2463
10 1.0324 0.2192
11 0.9595 0.1744
12 1.3177 0.1669
13 1.0403 0.2762
14 0.8488 0.2710
15 0.9029 0.2278
16 1.0543 0.2435
17 1.1560 0.2258
18 1.1134 0.2776
19 0.8250 0.2576
20 1.6755 0.2685
21 0.8869 0.2539
22 0.9468 0.1870
23 0.8134 0.1525
24 1.2908 0.1588
25 2.9033 0.2849
26 0.8753 0.2436
27 1.8960 0.2425
28 1.0386 0.2408
29 1.2893 0.2358
30 1.0074 0.2841
31 8.7818 0.2425
32 2.0647 0.2332
33 1.3764 0.2148
34 1.3313 0.1662
35 1.6940 0.1545
品种(系)编号
Variety (line) code
平均每位点有效
等位基因数
Average of effective alleles
Shannon’s信息指数
Shannon's
information index
36 0.8584 0.2347
37 1.1075 0.2513
38 0.9105 0.2250
39 0.8281 0.2191
40 1.0978 0.2335
41 1.4654 0.2358
42 0.9007 0.2304
43 0.3738 0.1159
44 0.8311 0.2282
45 0.9495 0.2315
46 1.0255 0.2407
47 0.9278 0.2272
48 0.9300 0.2510
49 0.9945 0.2820
50 0.7336 0.2583
51 0.7336 0.2372
52 1.9845 0.2663
53 1.3347 0.2333
54 0.2984 0.1294
55 0.9356 0.1473
56 0.9693 0.2411
57 0.8795 0.2503
58 0.9155 0.2832
59 0.9090 0.2389
60 1.2180 0.2489
61 0.9015 0.2487
62 1.9762 0.2764
63 0.9018 0.2261
64 1.2690 0.2514
65 0.8839 0.1953
66 0.3163 0.1216
67 0.3473 0.1182
68 0.9675 0.2659
69 0.8211 0.2213
70 0.8558 0.2470
71 1.8161 0.2276
72 1.8041 0.2777
73 1.8576 0.2779
74 0.9633 0.2187
75 0.3596 0.1439
76 0.4190 0.1225
77 0.3202 0.1114
78 3.6040 0.2616
79 1.0020 0.2769
80 0.8792 0.2488
81 0.8471 0.2387
82 1.0692 0.2816
品种(系)编号
Variety (line) code
平均每位点有效
等位基因数
Average of effective alleles
Shannon’s信息指数
Shannon's
information index
83 1.1833 0.2396
84 1.8596 0.2833
85 1.8518 0.2706
86 1.1016 0.2599
87 0.8009 0.1806
88 0.5734 0.1531
89 0.5361 0.1552
平均Average 1.2215 0.2307

Fig.2

Cluster analysis of 89 wheat varieties (lines)"

[1] 蒲艳艳, 宫永超, 李娜娜 , 等. 中国小麦作物遗传多样性研究进展. 中国农学通报, 2016,32(30):7-13.
[2] 盖红梅, 王兰芬, 游光霞 , 等. 基于SSR标记的小麦骨干亲本育种重要性研究. 中国农业科学, 2009,42(5):1503-1511.
[3] Shearman V J, Sylvester-Bradley R, Scott R K , et al. Physiological processes associated with wheat yield progress in the UK. Crop Science, 2005,45(1):175-185.
doi: 10.1016/j.cropro.2004.06.010
[4] Fufa H, Baenziger P S, Beecher B S , et al. Comparison of phenotypic and molecular marker-based classifications of hard red winter wheat cultivars. Euphytica, 2005,145(1/2):133-146.
[5] 贾继增, 张正斌 . 小麦21条染色体RFLP作图位点遗传多样性分析. 中国科学, 2001,31(1):13-21.
[6] 肖静, 田纪春 . 小麦 ( T. aestivum L.)D基因组的研究进展. 分子植物育种, 2008,6(3):537-541.
doi: 10.3969/j.issn.1672-416X.2008.03.021
[7] 何中虎, 夏先春, 陈新民 , 等. 中国小麦育种进展与展望. 作物学报, 2011,37(2):202-215.
doi: 10.3724/SP.J.1006.2011.00202
[8] 张一铎, 胡立芹, 张明 , 等. 405份CIMMYT引进小麦种质的遗传多样性分析. 植物遗传资源学报, 2015,16(5):961-967.
doi: 10.13430/j.cnki.jpgr.2015.05.006
[9] 张勇, 吴振录, 张爱民 , 等. CIMMYT小麦在中国春麦区的适应性分析. 中国农业科学, 2006,39(4):655-663.
doi: 10.3321/j.issn:0578-1752.2006.04.002
[10] 韩烨, 何中虎, 夏先春 , 等. CIMMYT小麦材料的苗期和成株抗叶锈病鉴定. 作物学报, 2011,37(7):1125-1133.
doi: 10.3724/SP.J.1006.2011.01125
[11] Prasad M, Varshney R K, Roy J K , et al. The use of microsatellites for detecting DNA polymorphism,genotype identification and genetic diversity in wheat. Theoretical and Applied Genetics, 2000,100(3/4):584-592.
[12] 马作斌, 王昌华, 王辉 , 等. 不同国家水稻品种的遗传多样性分析. 植物遗传资源学报, 2014,15(3):540-545.
[13] 潘兆娥, 何守朴, 贾银华 , 等. 引进海岛棉种质的SSR遗传多样性分析. 植物遗传资源学报, 2014,15(2):399-404.
doi: 10.13430/j.cnki.jpgr.2014.02.026
[14] 王瑞, 张福耀, 王花云 , 等. 高粱抗旱种质筛选及遗传多样性的SSR分析. 植物遗传资源学报, 2014,15(4):871-876.
doi: 10.13430/j.cnki.jpgr.2014.04.028
[15] Reif J C, Zhang P, Dreisigacker S , et al. Wheat genetic diversity trends during domestication and breeding. Theoretical and Applied Genetics, 2005,110(5):859-864.
doi: 10.1007/s00122-004-1881-8 pmid: 15690175
[16] 傅晓艺, 张士昌, 李孟军 , 等. 18个黄淮海地区推广冬小麦品种的遗传多样性分析. 麦类作物学报, 2014,34(1):43-47.
[17] 刘丽华, 庞斌双, 刘阳娜 , 等. 2009-2014年国家冬小麦区域试验品系的遗传多样性及群体结构分析. 麦类作物学报, 2016,36(2):165-171.
doi: 10.7606/j.issn.1009-1041.2016.02.06
[18] 倪胜利, 李兴茂, 杨德龙 , 等. 国内外冬小麦品种(系)的遗传多样性分析. 西北农业学报, 2012,21(2):20-25.
doi: 10.7606/j.issn.1004-1389.2012.2.005
[19] 季伟, 王立新, 孙辉 , 等. 小麦SSR分析体系的简化. 农业生物技术学报, 2007,15(5):907-908.
[20] Liu D C, Gao M Q, Guan R X , et al. Mapping quantitative trait loci for plant height in wheat (Triticum aestivum L.) using a F2∶3 population. Acta Genetica Sinica, 2002,29(8):706-711.
[21] 周淼平, 黄益洪, 任丽娟 , 等. 利用重组自交系检测小麦株高的QTL. 江苏农业学报, 2004,20(4):201-206.
doi: 10.3969/j.issn.1000-4440.2004.04.001
[22] 李卓坤, 谢全刚, 朱占玲 , 等. 基于QTL定位分析小麦株高的杂种优势. 作物学报, 2010,36(5):771-778.
doi: 10.3724/SP.J.1006.2010.00771
[23] 张国宏, 杨德龙, 栗孟飞 , 等. 小麦株高发育动态QTL定位及其与水分环境互作遗传分析. 农业生物技术学报, 2012,20(9):996-1008.
doi: 10.3969/j.issn.1674-7968.2012.09.003
[24] 任永哲, 徐艳花, 白娇娇 , 等. 调控小麦株高的QTL定位. 种子, 2014,33(3):8-10.
doi: 10.3969/j.issn.1001-4705.2014.03.003
[25] 梁子英, 李美霞, 王竹林 , 等. 小麦株高相关性状的QTL分析. 西北农业学报, 2014,23(6):64-72.
[26] 叶亚琼, 栗孟飞, 刘媛 , 等. 小麦株高QTL定位及其水分环境互作遗传分析. 华北农学报, 2015,30(5):83-91.
doi: 10.7668/hbnxb.2015.05.014
[27] 吴旭江, 程凯, 臧淑江 , 等. 普通小麦株高的遗传分析. 吉林农业大学学报, 2016,38(3):274-280.
[28] 任艳云, 王世充, 邵敏敏 , 等. 不同水分环境下小麦株高性状QTL定位分析. 山东农业科学, 2016,48(9):10-16.
doi: 10.14083/j.issn.1001-4942.2016.09.003
[29] Röder M S, Korzun V, Wendehake K , et al. A microsatellite map of wheat. Genetics, 1998,149(4):2007-2023.
doi: 10.1016/B0-12-227620-5/00113-0 pmid: 9691054
[30] Somers D J, Isaac P, Edwards K . A high-density microsatellite consensus map for bread wheat (Triticum aestivum L. ). Theoretical and Applied Genetics, 2004,109(6):1105-1114.
doi: 10.1007/s00122-004-1740-7 pmid: 15490101
[31] 董攀, 李伟, 郑有良 . 波兰小麦主要农艺性状分析. 麦类作物学报, 2007,27(2):216-222.
doi: 10.7606/j.issn.1009-1041.2007.02.059
[32] 曾潮武, 梁晓东, 李建疆 . 中亚引进春小麦种质资源主要农艺性状的遗传多样性分析.作物杂志, 2017(2):67-71.
doi: 10.16035/j.issn.1001-7283.2017.02.011
[33] Song Q J, Shi J R, Singh S , et al. Development and mapping of microsatellite (SSR) markers in wheat. Theoretical and Applied Genetics, 2005,110(3):550-560.
doi: 10.1007/s00122-004-1871-x pmid: 15655666
[34] Torada A, Koike M, Mochida K , et al. SSR-based linkage map with new markers using an intraspecific population of common wheat. Theoretical and Applied Genetics, 2006,112(6):1042-1051.
doi: 10.1007/s00122-006-0206-5 pmid: 16450184
[35] 陈祥萍, 宋婵媛, 李夕梅 . 旱地区域试验小麦品系的遗传多样性分析. 山东农业科学, 2017,49(3):21-26.
[36] 张雪婷, 杨文雄, 王世红 , 等. 甘肃省近年来育成冬小麦品种主要农艺性状的遗传多样性分析. 作物杂志, 2015(4):27-32.
[37] 刘东军, 张宏纪, 刁艳玲 , 等. 黑龙江省春小麦品种遗传多样性的SSR分析. 核农学报, 2008,22(5):557-562.
[38] 孔欣欣, 王春平, 王黎明 , 等. 36份小麦种质资源抗麦长管蚜遗传多样性的鉴定与分析. 种子, 2016,35(11):62-66.
doi: 10.16590/j.cnki.1001-4705.2016.11.062
[39] 李艳丽, 孙树贵, 武军 , 等. 部分美国及我国小麦品种的遗传多样性分析. 麦类作物学报, 2012,32(6):1066-1071.
doi: 10.7606/j.issn.1009-1041.2012.06.010
[40] 李远, 赵檀, 王睿辉 , 等. 河北省小麦品种基于SSR标记的遗传多样性研究. 河北农业大学学报, 2012,35(4):1-5.
doi: 10.7666/d.y2143525
[41] 赵檀, 金柳艳, 李远 , 等. 基于全基因组的河北省小麦品种遗传多样性分析. 植物遗传资源学报, 2015,16(1):45-53.
doi: 10.13430/j.cnki.jpgr.2015.01.007
[42] 张一铎 . CIMMYT和黄淮麦区部分小麦种质的遗传多样性分析. 泰安:山东农业大学, 2014.
[1] Wu Hao, Li Yanmin, Xie Chuanxiao. Research Advances on Physiological Basis and Gene#br# Discovery for Thermal Tolerance in Crops [J]. Crops, 2018, 34(5): 1-9.
[2] Ma Mengli, Zheng Yun, Zhou Xiaomei, . Genetic Diversity Analysis of Red Rice from#br# Hani’s Terraced Fields in Yunnan Province [J]. Crops, 2018, 34(5): 21-26.
[3] Zhao Xin, Chen Shaofeng, Wang Hui, . Research on the Yield and Quality of Different Tartaty#br# Buckwheat Varieties in Northern Shanxi Area [J]. Crops, 2018, 34(5): 27-32.
[4] Wang Hanxia, Shan Fuhua, Tian Liping, Ma Qiaoyun, . Analysis of Stability and Adaptability of Winter#br# Wheat Varieties in the Regional Trials of#br# the Northern Wheat Region of China [J]. Crops, 2018, 34(5): 40-44.
[5] Wang Lei, Zhang Xiangping, Li Runxi, Niu Xiaoxia, . Multivariate Analysis and Evaluation on Agronomic#br# Traits and Grain Amylopectin Content of Barley [J]. Crops, 2018, 34(5): 71-76.
[6] Zhang Yizhong, Zhou Fuping, Zhang Xiaojuan, . Identification and Cluster Analysis of Photosynthetic#br# Characters and WUE in Sorghum Germplasm [J]. Crops, 2018, 34(5): 45-53.
[7] Tang Liyuan, Li Xinghe, Zhang Sujun, Wang Haitao, . QTL Mapping for Photosynthesis#br# Related Traits in Upland Cotton [J]. Crops, 2018, 34(5): 85-90.
[8] An Xia, Zhang Haijun, Jiang Fangshan, Lü Lianjie, Chen Jun. Effects of Different Sowing Dates and Sowing#br# Densities on the Population Structure and#br# Yield of Two Spike Type Winter Wheats [J]. Crops, 2018, 34(5): 132-136.
[9] Wang Jianan, Li Xiaoyan, Wei Shimei, Zhao Huijie, Zhao Mingqi, Wang Yuexia. Regulation of Exogenous 5-Aminolevulinic#br# Acid on Photosynthesis and D1 Protein of#br# Wheat Seedlings under Drought Stress [J]. Crops, 2018, 34(5): 121-126.
[10] Mei Lu,Min Sun,Aixia Ren,Miaomiao Lei,Lingzhu Xue,Zhiqiang Gao. Effects of Spraying Foliar Fertilizers on Dryland Wheat Growth and the Correlation with Yield Formation [J]. Crops, 2018, 34(4): 121-125.
[11] Huiqin Wen,Tianling Cheng,Ziyou Pei,Xue Li,Lisheng Zhang,Mei Zhu. Analysis of Comprehensive Characteristics of Wheat Varieties Registered in Shanxi Province in Recent Years [J]. Crops, 2018, 34(4): 32-36.
[12] Xingchuan Zhang, Wenxuan Huang, Kuanyu Zhu, Zhiqin Wang, Jianchang Yang. Effects of Nitrogen Rates on the Nitrogen Use Efficiency and Agronomic Traits of Different Rice Cultivars [J]. Crops, 2018, 34(4): 69-78.
[13] Fei Yang,Wenli Ma,Yongwei Chen,Zhansheng Zhang,Hao Wang. The Effects of Uniform Sowing and Drip Irrigation on the Spike Differentiation and Yield of Spring Wheat [J]. Crops, 2018, 34(4): 84-88.
[14] Guangcai Zhao,Xuhong Chang,Demei Wang,Zhiqiang Tao,Yanjie Wang,Yushuang Yang,Yingjie Zhu. General Situation and Development of Wheat Production [J]. Crops, 2018, 34(4): 1-7.
[15] Huiyao Tian,Jizhi Jiang,Chengbin Li,Fen Shen,Ning Hou. Genetic Diversity of Phytophthora infestans in Northeast China [J]. Crops, 2018, 34(3): 168-173.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] Guangcai Zhao,Xuhong Chang,Demei Wang,Zhiqiang Tao,Yanjie Wang,Yushuang Yang,Yingjie Zhu. General Situation and Development of Wheat Production[J]. Crops, 2018, 34(4): 1 -7 .
[2] Baoquan Quan,Dongmei Bai,Yuexia Tian,Yunyun Xue. Effects of Different Leaf-Peg Ratio on Photosynthesis and Yield of Peanut[J]. Crops, 2018, 34(4): 102 -105 .
[3] Xuefang Huang,Mingjing Huang,Huatao Liu,Cong Zhao,Juanling Wang. Effects of Annual Precipitation and Population Density on Tiller-Earing and Yield of Zhangzagu 5 under Film Mulching and Hole Sowing[J]. Crops, 2018, 34(4): 106 -113 .
[4] Wenhui Huang, Hui Wang, Desheng Mei. Research Progress on Lodging Resistance of Crops[J]. Crops, 2018, 34(4): 13 -19 .
[5] Yun Zhao,Cailong Xu,Xu Yang,Suzhen Li,Jing Zhou,Jicun Li,Tianfu Han,Cunxiang Wu. Effects of Sowing Methods on Seedling Stand and Production Profit of Summer Soybean under Wheat-Soybean System[J]. Crops, 2018, 34(4): 114 -120 .
[6] Mei Lu,Min Sun,Aixia Ren,Miaomiao Lei,Lingzhu Xue,Zhiqiang Gao. Effects of Spraying Foliar Fertilizers on Dryland Wheat Growth and the Correlation with Yield Formation[J]. Crops, 2018, 34(4): 121 -125 .
[7] Xiaofei Wang,Haijun Xu,Mengqiao Guo,Yu Xiao,Xinyu Cheng,Shuxia Liu,Xiangjun Guan,Yaokun Wu,Weihua Zhao,Guojiang Wei. Effects of Sowing Date, Density and Fertilizer Utilization Rate on the Yield of Oilseed Perilla frutescens in Cold Area[J]. Crops, 2018, 34(4): 126 -130 .
[8] Pengjin Zhu,Xinhua Pang,Chun Liang,Qinliang Tan,Lin Yan,Quanguang Zhou,Kewei Ou. Effects of Cold Stress on Reactive Oxygen Metabolism and Antioxidant Enzyme Activities of Sugarcane Seedlings[J]. Crops, 2018, 34(4): 131 -137 .
[9] Jie Gao,Qingfeng Li,Qiu Peng,Xiaoyan Jiao,Jinsong Wang. Effects of Different Nutrient Combinations on Plant Production and Nitrogen, Phosphorus and Potassium Utilization Characteristics in Waxy Sorghum[J]. Crops, 2018, 34(4): 138 -142 .
[10] Na Shang,Zhongxu Yang,Qiuzhi Li,Huihui Yin,Shihong Wang,Haitao Li,Tong Li,Han Zhang. Response of Cotton with Vegetative Branches to Plant Density in the Western of Shandong Province[J]. Crops, 2018, 34(4): 143 -148 .