Welcome to Acta Agronomica Sinica，

Acta Agronomica Sinica ›› 2020, Vol. 46 ›› Issue (6): 858-868.doi: 10.3724/SP.J.1006.2020.91063

• CROP GENETICS & BREEDING · GERMPLASM RESOURCES · MOLECULAR GENETICS • Previous Articles     Next Articles

Genetic analysis of plant height and its components for wheat (Triticum aestivum L.) cultivars Ningmai 9 and Yangmai 158

JIANG Peng,HE Yi,ZHANG Xu,WU Lei,ZHANG Ping-Ping,MA Hong-Xiang()   

  1. Jiangsu Academy of Agricultural Sciences / Jiangsu Provincial Key Laboratory for Agrobiology / Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing 210014, Jiangsu, China
  • Received:2019-10-15 Accepted:2020-01-15 Online:2020-06-12 Published:2020-02-17
  • Contact: Hong-Xiang MA E-mail:hxma@jaas.ac.cn
  • Supported by:
    National Key Project for the Research and Development of China(2017YFD0100801);China Agriculture Research System(CARS-3);National Natural Science Foundation of China(31671690)

RichHTML369

36

PDF

1952

Abstract:

Ningmai 9 and Yangmai 158 are the main wheat cultivars and core parents in the middle and lower reaches of the Yangtze River in China. In the past three years, 80% of the released varieties in the middle and lower reaches of the Yangtze River had the background of Ningmai 9 or Yangmai 158. To make better use of these two parents, the genetic mechanism of their traits need to be further clarified. A high-density genetic map was constructed by Illumina 90k chip using 282 recombinant inbred lines (RILs) from the cross between Ningmai 9 and Yangmai 158. In this study, the traits including plant height, internode length, and spike length were determined in three consecutive growing seasons, and 14 stable QTLs were obtained by QTL mapping. By further position alignment, we focused on six chromosome intervals, which preliminarily revealed the genetic regulatory mechanism of the internode on plant height. KASP markers suitable for high-throughput analysis were developed based on the low-homology markers in the six chromosome intervals, and they were further validated in 101 wheat accessions. The polymerization of Qph-2D and Qph-5A.1 had high selection efficiency which might be decreased if further intruding Q2A. It suggests that the selection of Q2A and Q5A should mainly focus on the alleles reducing plant height, and Qd1-5D could be used in marker-assisted selection for internode length below spike (D1). The results in this study may provide assistance for wheat height genetic improvement in the middle and lower reaches of the Yangtze River.

Key words: wheat (Triticum aestivum L.), Ningmai 9, Yangmai 158, plant height, KASP marker

Fig. 1

Field phenotype for Ningmai 9 and Yangmai 158"

Fig. 2

Molecular marker test of plant height for Ningmai 9 and Yangmai 158 a: Ningmai 9; b: Yangmai 158; M: marker."

Table 1

Phenotypic analysis for plant height and its components"

性状
Trait		 环境
Environment		 宁麦9号
Ningmai 9
(cm)		 扬麦158
Yangmai 158
(cm)		 重组自交系群体 RIL population 遗传力
Heritability
最大值
Max
(cm)		 最小值
Min
(cm)		 平均值
Mean
(cm)		 标准差
SD		 变异系数
CV(%)
倒五节
D5		 2017 4.71 5.64 8.72 2.92 5.83 1.06 18.14 0.43
2018 4.39 5.66 10.15 3.49 5.84 1.06 18.17
2019 3.72 3.76 6.36 1.88 3.86 0.87 22.58
倒四节
D4		 2017 7.38 8.05 12.59 5.58 8.16 1.04 12.79 0.51
2018 6.89 7.76 12.75 5.50 8.47 1.01 11.96
2019 5.28 6.78 10.63 4.93 7.04 0.92 13.10
倒三节
D3		 2017 8.43 10.08 15.84 8.50 11.28 1.31 11.62 0.61
2018 11.56 13.80 18.87 9.09 13.05 1.56 11.92
2019 9.11 11.16 15.73 7.61 11.17 1.30 11.63
倒二节
D2		 2017 15.65 19.24 25.58 12.33 19.62 1.91 9.74 0.76
2018 18.66 20.63 27.27 16.83 22.17 1.88 8.47
2019 17.40 21.34 26.21 15.66 21.11 1.82 8.60
倒一节
D1		 2017 26.28 28.99 38.16 20.04 29.40 2.97 10.11 0.83
2018 29.83 32.31 42.63 23.87 32.43 2.82 8.70
2019 27.53 31.26 41.41 23.02 32.07 3.05 9.50
穗长
Spike length		 2017 9.85 10.43 12.37 6.50 9.49 0.89 9.40 0.72
2018 8.14 9.11 10.78 5.97 8.73 0.88 10.03
2019 7.31 8.21 10.33 5.44 7.82 0.87 11.13
株高
Plant height		 2017 72.29 82.43 101.93 59.54 83.84 6.45 7.69 0.78
2018 79.48 89.26 108.17 72.53 90.78 6.20 6.83
2019 70.35 82.51 102.62 64.25 83.07 6.11 7.36

Table 2

ANOVA for plant height and its components (F-value) "

项目
Item		 倒五节
D5		 倒四节
D4		 倒三节
D3		 倒二节
D2		 倒一节
D1		 穗长
Spike length		 株高
Plant height
基因型 Genotype 4.15** 7.08** 8.37** 18.23** 17.98 ** 13.91** 40.51**
环境 Environment 1009.08** 719.59** 783.47** 1205.13** 693.65** 1859.74** 2491.39**
基因型×环境 Genotype×Environment 2.35** 3.45** 3.25** 4.30** 3.06** 3.87** 8.81**

Table 3

Correlation analysis for plant height and its components"

性状
Trait		 环境
Environment		 倒五节D5 倒四节D4 倒三节D3 倒二节D2 倒一节D1 穗长
Spike length		 株高
Plant height
倒五节
D5		 2017 (0.266**)
2018 (0.294**)
2019 (0.049)
倒四节
D4		 2017 0.632** (0.370**)
2018 0.551** (0.400**)
2019 0.714** (0.070)
倒三节
D3		 2017 0.546** 0.631** (0.347**)
2018 0.466** 0.697** (0.500**)
2019 0.531** 0.803** (0.268**)
倒二节
D2		 2017 0.388** 0.510** 0.637** (0.506**)
2018 0.285** 0.487** 0.549** (0.639**)
2019 0.219** 0.452** 0.570** (0.459**)
倒一节
D1		 2017 0.242** 0.277** 0.309** 0.471** (0.616**)
2018 0.163** 0.320** 0.184** 0.524** (0.733**)
2019 0.057 0.190** 0.198** 0.618** (0.512**)
穗长
Spike length		 2017 0.026 0.055 0.059 0.169** 0.157** (0.467**)
2018 -0.058 -0.042 -0.171** 0.105 0.187** (0.524**)
2019 0.222** 0.125* -0.015 0.067 0.118* (0.326**)
株高
Plant height		 2017 0.610** 0.683** 0.737** 0.815** 0.771** 0.287** (0.533**)
2018 0.531** 0.719** 0.670** 0.821** 0.765** 0.199** (0.689**)
2019 0.490** 0.673** 0.678** 0.840** 0.784** 0.267** (0.456**)

Table 4

QTL analysis for plant height and its components "

序号
No.		 QTL 遗传位置
Genetic position		 区间
Interval		 2017 2018 2019
LOD 表型贡献率
PVE (%)		 加性效应
AEa		 LOD 表型贡献率
PVE (%)		 加性效应
AE		 LOD 表型贡献率
PVE (%)		 加性效应
AE
1 Qd5-5A 52.35?55.75 wsnp_Ex_rep_c104539_89224552-RFL_Contig4162_1285 5.90 8.89 0.31 3.11 4.69 0.24
2 Qd4-5A 52.35?56.55 wsnp_Ex_rep_c104539_89224552-RAC875_c103967_76 4.22 7.66 0.26 4.40 2.73 0.24
3 Qd3-5A 52.45?59.75 wsnp_Ex_c49211_53875575-BS00000365_51 6.90 7.89 0.39 4.23 5.18 0.38 4.73 5.25 0.32
4 Qd2-2A 109.15?112.05 Tdurum_contig61938_424-wsnp_Ex_c3695_6740339 3.97 5.93 ?0.46 3.34 4.26 ?0.39
5 Qd2-5A 55.85?59.25 BS00096758_51-BS00098207_51 6.58 9.97 0.58 7.50 10.18 0.60
6 Qd2-7A 49.55?51.95 RAC875_c16624_970-wsnp_Ex_c14009_21899923 4.10 6.13 ?0.48 8.13 11.05 ?0.62 5.30 6.13 ?0.49
7 Qd1-2A 109.35?110.25 Tdurum_contig61938_424-IAAV880 4.74 6.53 ?0.79 3.65 5.51 ?0.63 6.22 9.29 ?0.89
8 Qd1-5A 56.95?58.55 RAC875_c103967_76-BS00098207_51 3.46 5.20 0.60 3.51 5.38 0.66
9 Qd1-5D 9.35?13.85 Kukri_c14878_97-Kukri_c7786_81 3.57 4.87 0.67 3.92 5.90 0.64 2.96 4.30 0.59
10 Qph-2A 109.35?110.55 Tdurum_contig61938_424-IAAV880 4.65 5.79 ?1.56 3.03 3.45 ?1.26
11 Qph-2D 15.55?29.65 BS00022211_51-RAC875_c173_905 3.16 3.99 ?1.25 4.48 4.88 ?1.45
12 Qph-5A.1 18.85?26.55 wsnp_Ex_c12440_19836844-Ex_c6161_335 3.07 3.76 1.21 2.99 2.84 1.08
13 Qph-5A.2 52.65?59.75 wsnp_Ex_c49211_53875575-BS00000365_51 6.49 8.24 1.79 7.34 9.53 2.03 6.35 6.38 1.67
14 Qph-7A 43.45?52.05 Ex_c6196_971-wsnp_Ex_c14009_21899923 7.09 8.94 ?2.02 5.45 5.57 ?1.62

Fig. 3

QTL mapping for plant height and its components The numbers in the figure are consistent with the sequence numbers of QTL in Table 4. "

Table 5

Sequence of KASP markers for plant height and its components"

标记 Marker QTL SNP F1 F2 R
IAAV880 Q2A T/C ccAgaacgcagtggagagtT ccAgaacgcagtggagagtC tgcagacgggagcttagG
IACX9152 Qph-2D T/C aacagagtctcaGtctctccA aacagagtctcaGtctctccG gcctgtCattctcttttcctAtCtT
BobWhite_c1796_701 Qph-5A.1 T/G ggccccggatccaaaatcT ggccccggatccaaaatcG acggagcaaagtggtcttgt
BS00098207_51 Q5A T/C ccaagcttcccgtgacaT ccaagcttcccgtgacaC gccatgatgttTCtgaacttctcT
Kukri_c7786_81 Qd1-5D T/C catcaccttgtatccttcctcA catcaccttgtatccttcctcG ggttctttgttttgagaagagagG
wsnp_JD_c6050_7214383 Q7A A/G GtCgttccacctaacagtacT GtCgttccacctaacagtacC gCtgaatcagaagaatgcacagA

Fig. 4

Development of KASP markers for plant height and its components A indicates the allele of Ningmai 9 and B indicates the allele of Yangmai 158. "

Table 6

t-test of different alleles in the materials from regional test"

Q2A Qph-2D Qph-5A.1 Q5A Qd1-5D Q7A
宁麦9号等位变异Ningmai 9 allele (cm) 87.82 (79) 87.08 (53) 88.53 (57) 86.44 (9) 87.75 (40) 86.50 (2)
扬麦158等位变异Yangmai 158 allele (cm) 88.41 (22) 88.92 (48) 87.20 (44) 88.10 (92) 88.08 (61) 87.98 (99)
差值 Difference (cm) 0.59 1.84 1.32 1.65 0.33 1.48
t值 t-value -0.54 2.08 1.47 -1.05 0.36 0.46
P值 P-value 0.59 0.04* 0.15 0.30 0.72 0.65

Table 7

Effect of QTL polymerization"

Qph-2D+Qph-5A.1 Qph-2D+Qph-5A.1+Q2A
株高+ Plant height+ (cm) 89.64 (22) 95.50 (2)
株高? Plant height? (cm) 85.61 (18) 84.85 (14)
差值 Difference (cm) 4.03 10.65
t值 t-value 2.45 2.21
P值 P-value 0.02* 0.04*
[1] Hedden P . The genes of the green revolution. Trends Genet, 2003,19:5-9.
[2] Mo Y, Vanzetti L S, Hale I, Spagnolo E J, Guidobaldi F, Al-Oboudi J, Odle N, Pearce S, Helguera M, Dubcovsky J . Identification and characterization of Rht25, a locus on chromosome arm 6AS affecting wheat plant height, heading time, and spike development. Theor Appl Genet, 2018,131:2021-2035.
[3] Tian X, Wen W, Xie L, Fu L, Xu D, Fu C, Wang D, Chen X, Xia X, Chen Q, He Z, Cao S . Molecular mapping of reduced plant height gene Rht24 in bread wheat. Front Plant Sci, 2017, .
[4] McIntosh R A, Dubcovsky J, Rogers W J, Morris C, Xia X C . Catalogue of gene symbols for wheat: 2017 supplement. . Accessed 17 Feb 2018.
[5] Ellis M, Spielmeyer W, Gale K, Rebetzke G, Richards R . “Perfect” markers for the Rht-B1b and Rht-D1b dwarfing genes in wheat. Theor Appl Genet, 2002,105:1038-1042.
[6] Asplund L, Leino M W, Hagenblad J . Allelic variation at the Rht8 locus in a 19th century wheat collection. Sci World J, 2012,2012:385610.
[7] Börner A, Schumann E, Fürste A, Cöster H, Leithold B, Röder S, Weber E . Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat ( Triticum aestivum L.). Theor Appl Genet, 2002,105:921-936.
doi: 10.1007/s00122-002-0994-1
[8] Peng J, Yefim R, Tzion F, RiDer M L, Youchun F, Eviatar N, Abraham K . Domestication quantitative trait loci in Triticum dicoccoides, the progenitor of wheat. Proc Natl Acad Sci USA, 2003,100:2489-2494.
[9] Liu G, Xu S B, Ni Z F, Xie C J, Qin D D, Li J, Lu L H, Zhang J P, Peng H R, Sun Q X . Molecular dissection of plant height QTLs using recombinant inbred lines from hybrids between common wheat ( Triticum aestivum L.) and spelt wheat( Triticum spelta L.). Chin Sci Bull, 2011,56:1897-1903.
[10] Griffiths S, Simmonds J, Leverington M, Wang Y, Fish L, Sayers L, Alibert L, Orford S, Wingen L, Snape J . Meta-QTL analysis of the genetic control of crop height in elite European winter wheat germplasm. Mol Breed, 2012,29:159-171.
[11] Tobias W, Langer S M, Longin C F H . Genetic control of plant height in European winter wheat cultivars. Theor Appl Genet, 2015,128:865-874.
[12] Mccartney C A, Somers D J, Humphreys D G, Lukow O, Ames N, Noll J, Cloutier S, McCallum B D . Mapping quantitative trait loci controlling agronomic traits in the spring wheat cross Rl4452x ‘AC Domain’. Genome, 2005,48:870.
[13] Griffiths S, Simmonds J, Leverington M, Wang Y, Fish L, Sayers L, Alibert L, Orford S, Wingen L, Herry L, Faure S, Laurie D, Bilham L, Snape J . Meta-QTL analysis of the genetic control of ear emergence in elite European winter wheat germplasm. Theor Appl Genet, 2009,119:383-395.
[14] Cui F, Li J, Ding A, Zhao C, Wang L, Wang X, Li S, Bao Y, Li X, Feng D, Kong L, Wang H . Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat. Theor Appl Genet, 2011,122:1517-1536.
[15] Zhang N, Fan X, Cui F, Zhao C, Zhang W, Zhao X, Yang L, Pan R, Chen M, Han J . Characterization of the temporal and spatial expression of wheat ( Triticum aestivum L.) plant height at the QTL level and their influence on yield-related traits. Theor Appl Genet, 2017,130:1235-1252.
[16] Cavanagh C R, Shiaoman C, Shichen W, Bevan Emma H, Stuart S, Seifollah K, Kerrie F, Cyrille S, Brown-Guedira G L, Alina A, . Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars. Proc Natl Acad Sci USA, 2013,110:8057-8062.
[17] Wang S, Wong D, Forrest K, Allen A, Chao S, Huang B E, Maccaferri M, Salvi S, Milner S G, Cattivelli L . Characterization of polyploid wheat genomic diversity using a high-density 90,000 single nucleotide polymorphism array. Plant Biotechnol J, 2014,12:787-796.
[18] Cui F, Zhang N, Fan X, Zhang W, Zhao C, Yang L, Pan R, Chen M, Han J, Zhao X . Utilization of a wheat660k SNP array-derived high-density genetic map for high-resolution mapping of a major QTL for kernel number. Sci Rep, 2017,7:3788.
[19] Consortium T I W G S. Shifting the limits in wheat research and breeding using a fully annotated reference genome. Science, 2018, 361: eaar7191.
[20] 张晓, 张伯桥, 江伟, 吕国锋, 张晓祥, 李曼, 高德荣 . 扬麦系列品种品质性状相关基因的分子检测. 中国农业科学, 2015,48:3779-3793.
Zhang X, Zhang B Q, Jiang W, Lyu G F, Zhang X X, Li M, Gao D R . Molecular detection for quality traits-related genes in Yangmai series wheat cultivars. Sci Agric Sin, 2015,48:3779-3793 (in Chinese with English abstract).
[21] Jiang P, Zhang P P, Zhang X, Ma H X . Genetic contribution of Ningmai 9 wheat to its derivatives evaluated by using SNP markers. Int J Genomics, 2016,2016:3602986.
[22] He X, Lillemo M, Shi J, Wu J, Bjørnstad Å, Belova T, Dreisigacker S, Duveiller E, Singh P . QTL characterization of Fusarium head blight resistance in CIMMYT bread wheat line Soru#1. PLoS One, 2016,11:e0158052.
[23] Jiang P, Zhang X, Wu L, He Y, Zhuang W, Cheng X, Ge W, Ma H, Kong L . A novel QTL on chromosome 5AL of Yangmai 158 increases resistance to Fusarium head blight in wheat. Plant Pathol, 2020,69:249-258.
[24] Meng L, Li H H, Zhang L Y, Wang J K . QTL IciMapping: integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop J, 2015,3:269-283.
[25] Li H, Ye G, Wang J . A modified algorithm for the improvement of composite interval mapping. Genetics, 2007,175:361-374.
[26] Saghai-Maroof M A, Soliman K M, Jorgensen R A, Allard R W . Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. Proc Natl Acad Sci USA, 1984,81:8014-8018.
[27] 程顺和, 张勇, 张伯桥, 高德荣, 吴宏亚, 陆成彬, 吕国锋, 王朝顺 . 小麦抗赤霉病育种2条技术路线的探讨. 扬州大学学报(农业与生命科学版), 2003,24:59-62.
Cheng S H, Zhang Y, Zhang B Q, Gao D R, Wu H Y, Lu C B, Lyu G F, Wang C S . Discussion of two ways of breeding scab resistance in wheat. J Yangzhou Univ ( Agric & Life Sci), 2003,24:59-62 (in Chinese with English abstract).
[28] 朱展望, 徐登安, 程顺和, 高春保, 夏先春, 郝元峰, 何中虎 . 中国小麦品种抗赤霉病基因Fhb1的鉴定与溯源. 作物学报, 2018,44:473-482.
Zhu Z W, Xu D A, Cheng S H, Gao C B, Xia X C, Hao Y F, He Z H . Characterization of Fusarium head blight resistance gene Fhb1 and its putative ancestor in Chinese wheat germplasm. Acta Agron Sin, 2018, 44: 473-482 (in Chinese with English abstract).
[29] 张宏军, 宿振起, 柏贵华, 张旭, 马鸿翔, 李腾, 邓云, 买春艳, 于立强, 刘宏伟, 杨丽, 李洪杰, 周阳 . 利用Fhb1基因功能标记选择提高黄淮冬麦区小麦品种对赤霉病的抗性. 作物学报, 2018,44:505-511.
Zhang H J, Su Z Q, Bai G H, Zhang X, Ma H X, Li T, Deng Y, Mai C Y, Yu L Q, Liu H W . Improvement of resistance of wheat cultivars to Fusarium head blight in the Yellow-Huai rivers valley winter wheat zone with functional marker selection of Fhb1 gene. Acta Agron Sin, 2018, 44: 505-511 (in Chinese with English abstract).
[30] 陈广凤, 陈建省, 田纪春 . 小麦株高相关性状与SNP标记全基因组关联分析. 作物学报, 2015,41:1500-1509.
Chen G F, Chen J S, Tian J C . Genome-wide association analysis between SNP markers and plant height related traits in wheat. Acta Agron Sin, 2015,41:1500-1509 (in Chinese with English abstract).
[31] 武炳瑾, 冯洁, 崔紫霞, 张传量, 孙道杰 . 利用90k基因芯片进行小麦株高QTL分析 . 麦类作物学报, 2017, 5: 578-584.
Wu B J, Feng J, Cui Z X, Zhang C L, Sun D J . QTL analysis of plant height by using 90k chip technology. J Triticeae Crop, 2017,5:578-584 (in Chinese with English abstract).
[32] Ellis M H, Rebetzke G J, Azanza F, Richards R A, Spielmeyer W . Molecular mapping of gibberellin-responsive dwarfing genes in bread wheat. Theor Appl Genet, 2005,111:423-430.
[33] Wang Z H, Wu X S, Ren Q, Chang X P, Li R Z, Jing R L . QTL mapping for developmental behavior of plant height in wheat ( Triticum aestivum L.). Euphytica, 2010,174:447-458.
[34] 梁子英, 李美霞, 王竹林, 沈玮囡, 奚亚军, 孙风丽, 刘曙东 . 小麦株高相关性状的QTL分析. 西北农业学报, 2014,23:64-72.
Liang Z Y, Li M X, Wang Z L, Shen W N, Xi Y J, Sun F L, Liu S D . Mapping quantitative trait loci for plant height related characteristics in wheat. Acta Agric Boreali-Occident Sin, 2014,23:64-72 (in Chinese with English abstract).
[35] Peng Z S, Li X, Yang Z J, Liao M L . A new reduced height gene found in the tetraploid semi-dwarf wheat landrace Aiganfanmai. Genet Mol Res, 2011,10:2349.
[36] Roncallo P F, Cervigni G L, Jensen C, Miranda R, Carrera A D, Helguera M, Echenique V . QTL analysis of main and epistatic effects for flour color traits in durum wheat. Euphytica, 2012,185:77-92.
[37] Kamran A, Iqbal M, Spaner D . Flowering time in wheat ( Triticum aestivum L.): a key factor for global adaptability. Euphytica, 2014,197:1-26.
[38] Botwright Acuña T L, Rebetzke G J, He X, Maynol E, Wade L J . Mapping quantitative trait loci associated with root penetration ability of wheat in contrasting environments. Mol Breed, 2014,34:631-642.
[39] Dreisigacker S, Wang X, Martinez Cisneros B A, Jing R, Singh P K, . Adult-plant resistance to Septoria tritici blotch in hexaploid spring wheat. Theor Appl Genet, 2015,128:2317-2329.
[40] Kelbert A J, Spaner D, Briggs K G, King J R . The association of culm anatomy with lodging susceptibility in modern spring wheat genotypes. Euphytica, 2004,136:211-221.
[41] 朱新开, 郭文善, 李春燕, 封超年, 彭永欣 . 小麦株高及其构成指数与产量及品质的相关性 . 麦类作物学报, 2009, 29: 1034‒1038.
Zhu X K, Guo W S, Li C Y, Feng C N, Peng Y X . Relationship of plant height component indexes with grain yield and quality in wheat. J Triticeae Crop, 2009,29:1034-1038 (in Chinese with English abstract).
[42] 朱新开, 王祥菊, 郭凯泉, 郭文善, 封超年, 彭永欣 . 小麦倒伏的茎秆特征及对产量与品质的影响. 麦类作物学报, 2006,26:87-92.
Zhu X K, Wang X J, Guo K Q, Guo W S, Feng C N, Peng Y X . Stem characteristics of wheat with stem lodging and effects of lodging on grain yield and quality. J Triticeae Crop, 2006,26:87-92 (in Chinese with English abstract).
[1] Tang Kuan-Qiang, Li Gong-Yun, Song Mei-Yi, Zhao Xue, Chang Chun-Ling. Genome-wide association analysis and prediction model construction for soybean plant height [J]. Acta Agronomica Sinica, 2026, 52(6): 1743-1756.
[2] GUO Xu-Hu, LI Ling-Zhi, LI Feng, MA Bo-Yan, JIA Xiao-Yu. Functional study on the regulation of plant architecture by tomato type I MADS-box gene SlMADS79 [J]. Acta Agronomica Sinica, 2025, 51(4): 982-991.
[3] XU Jian-Xia, DING Yan-Qing, CAO Ning, CHENG Bin, GAO Xu, LI Wen-Zhen, ZHANG Li-Yi. Genome-wide association analysis and prediction of candidate genes for plant height and internode number in Chinese sorghum [J]. Acta Agronomica Sinica, 2025, 51(3): 568-585.
[4] ZHAO Hai-Hong, LI Meng-Yuan, LIU Jin-Jing, WANG Yuan-Yuan, DU Lei, WANG Juan, DONG Cheng-Guang, LI Cheng-Qi. Detection of QTNs and QTN-by-environment interactions for plant height in upland cotton (G. hirsutum L.) using the 3VmrMLM method [J]. Acta Agronomica Sinica, 2025, 51(10): 2619-2631.
[5] GAO Wei-Dong, HU Chen-Zhen, ZHANG Long, ZHANG Yan-Yan, ZHANG Pei-Pei, YANG De-Long, CHEN Tao. Cloning and functional analysis of ubiquitin-conjugating enzymes TaUBC16 gene in wheat [J]. Acta Agronomica Sinica, 2024, 50(8): 1971-1988.
[6] BI Jun-Ge, ZENG Zhan-Kui, LI Qiong, HONG Zhuang-Zhuang, YAN Qun-Xiang, ZHAO Yue, WANG Chun-Ping. QTL mapping and KASP marker development of grain quality-relating traits in two wheat RIL populations [J]. Acta Agronomica Sinica, 2024, 50(7): 1669-1683.
[7] QIAO Zhi-Xin, ZHANG Jie-Dao, WANG Yu, GUO Qi-Fang, LIU Yan-Jing, CHEN Rui, HU Wen-Hao, SUN Ai-Qing. Difference in germination characteristics of different winter wheat cultivars under drought stress [J]. Acta Agronomica Sinica, 2024, 50(6): 1568-1583.
[8] XU Nai-Yin, JIN Shi-Qiao, JIN Fang, LIU Li-Hua, XU Jian-Wen, LIU Feng-Ze, REN Xue-Zhen, SUN Quan, XU Xu, PANG Bin-Shuang. Genetic similarity and its detection accuracy analysis of wheat varieties based on SNP markers [J]. Acta Agronomica Sinica, 2024, 50(4): 887-896.
[9] LIU Wei, WANG Yu-Bin, LI Wei, ZHANG Li-Feng, XU Ran, WANG Cai-Jie, ZHANG Yan-Wei. Overexpression of soybean isopropyl malate dehydrogenase gene GmIPMDH promotes flowering and growth [J]. Acta Agronomica Sinica, 2024, 50(3): 613-622.
[10] DIAO Xian-Min, WANG Li-Wei, ZHI Hui, ZHANG Jun, LI Shun-Guo, CHENG Ru-Hong. Development, genetic deciphering, and breeding utilization of dwarf lines in foxtail millet [J]. Acta Agronomica Sinica, 2024, 50(2): 265-279.
[11] YANG Shi-Jie, WANG Hua-Zhi, PAN Yi-Min, HUANG Rui, HOU Sen, QIN Hui-Bin, MU Zhi-Xin, WANG Hai-Gang. Genome-wide association analysis for plant height in foxtail millet (Setaria italica L.) germplasm resources in Shanxi, China [J]. Acta Agronomica Sinica, 2024, 50(12): 2984-2997.
[12] ZHAO Yang, LI Long, YANG Jin-Wen, JING Rui-Lian, SUN Dai-Zhen, WANG Jing-Yi. An E3 ubiquitin ligase gene TaSINA-3A is associated with plant height and 1000-grain weight in various environments in wheat [J]. Acta Agronomica Sinica, 2024, 50(10): 2654-2664.
[13] YANG Chen-Xi, ZHOU Wen-Qi, ZHOU Xiang-Yan, LIU Zhong-Xiang, ZHOU Yu-Qian, LIU Jie-Shan, YANG Yan-Zhong, HE Hai-Jun, WANG Xiao-Juan, LIAN Xiao-Rong, LI Yong-Sheng. Mapping and cloning of plant height gene PHR1 in maize [J]. Acta Agronomica Sinica, 2024, 50(1): 55-66.
[14] ZHU Zhi, LI Long, LI Chao-Nan, MAO Xin-Guo, HAO Chen-Yang, ZHU Ting, WANG Jing-Yi, CHANG Jian-Zhong, JING Rui-Lian. Transcription factor TaMYB5-3B is associated with plant height and 1000- grain weight in wheat [J]. Acta Agronomica Sinica, 2023, 49(4): 906-916.
[15] ZHOU Bin-Han, YANG Zhu, WANG Shu-Ping, FANG Zheng-Wu, HU Zan-Min, XU Zhao-Shi, ZHANG Ying-Xin. Screening of active LTR retrotransposons in wheat (Triticum aestivum L.) seedlings and analysis of their responses to abiotic stresses [J]. Acta Agronomica Sinica, 2023, 49(4): 966-977.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No. 80 Xueyuan South Rd, Beijing 100081, P. R. China E-mail: zwxb301@caas.cn
Supported by Beijing Magtech Co.Ltd