豇豆SNP高密度遗传图谱构建及重要农艺性状QTL定位

doi:10.3724/SP.J.1006.2022.14187

作物学报 ›› 2022, Vol. 48 ›› Issue (10): 2475-2482.doi: 10.3724/SP.J.1006.2022.14187

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

豇豆SNP高密度遗传图谱构建及重要农艺性状QTL定位

李建领¹^,²(), 公丹²^,³, 王素华², 陈红霖², 程须珍², 熊涛¹^,^*(), 王丽侠²^,^*()

¹长江大学生命科学学院, 湖北荆州 434025
²中国农业科学院作物科学研究所, 北京 100081
³长江大学农学院, 湖北荆州 434025

收稿日期:2021-10-15 接受日期:2022-01-05 出版日期:2022-10-12 网络出版日期:2022-02-23
通讯作者: 熊涛,王丽侠
作者简介:第一作者联系方式: E-mail: 1411420008@qq.com
基金资助:
国家重点研发计划项目(2019YFD1001300);国家重点研发计划项目(2019YFD1001303);财政部和农业农村部国家现代农业产业技术体系项目(食用豆, CARS-08)

Construction of SNP high-density genetic map and QTL analysis of agronomic traits in cowpea (Vigna unguiculata (L.) Walp.)

LI Jian-Ling¹^,²(), GONG Dan²^,³, WANG Su-Hua², CHEN Hong-Lin², CHENG Xu-Zhen², XIONG Tao¹^,^*(), WANG Li-Xia²^,^*()

¹College of Life Science, Yangtze University, Jingzhou 434025, Hubei, China
²Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
³School of Agriculture, Yangtze University, Jingzhou 434025, Hubei, China

Received:2021-10-15 Accepted:2022-01-05 Published:2022-10-12 Published online:2022-02-23
Contact: XIONG Tao,WANG Li-Xia
Supported by:
National Key Research and Development Program of China(2019YFD1001300);National Key Research and Development Program of China(2019YFD1001303);China Agriculture Research System of MOF and MARA (Food Legume, CARS-08)

摘要/Abstract

摘要：

为促进豇豆种质资源的高效利用和新基因发掘, 本研究基于豇豆F₂群体, 利用重测序技术构建了包含2984个bin标记(142,146个SNP)的遗传连锁图谱。该图谱共11个连锁群, 总长1333.48 cM, 平均图距0.45 cM。不同连锁群的长度从84.63~183.15 cM不等, 平均图距从0.27 cM至0.89 cM不等。根据F₂、F₃的表型调查, 利用该图谱共检测到15个QTL, 分别与百粒重、花色、荚长、荚形、荚质、籽粒颜色等14个性状相关。其中荚质、荚长、主茎分枝数等分别检测到1个主效QTL区间, 其余性状检测到多个QTL区间。通过对区间内的基因注释分析, 分别确定了与荚长、单株荚数、籽粒颜色构成等性状相关的候选基因。本研究中QTL分析结果将为豇豆属重要性状的标记辅助选择奠定基础, 而候选基因筛选则有助于深入解析这些性状的遗传机理, 提高豇豆分子遗传学研究水平。

关键词: 豇豆, SNP, 遗传图谱, 农艺性状, QTL定位

Abstract:

To promote efficient utilization of cowpea germplasm resources and new gene discovery, a genetic linkage map containing 2984 Bin markers (142,146 SNPs) was constructed based on cowpea F₂ population using re-sequencing technology. The map consisted of 11 linkage groups with a total length of 1333.48 cM and an average map spacing of 0.45 cM. The length of different linkage groups ranged from 84.63 cM to 183.15 cM, and the average plot distance ranged from 0.27 cM to 0.89 cM. A total of 15 QTLs were detected to be associated with 14 traits, including 100-grain weight, flower color, pod length, pod shape, pod shape and grain color, respectively. One major QTL region was detected for pod type, pod length, and number of branches per main stem, and multiple QTLs regions were detected for other traits. Candidate genes related to pod length, number of pods per plant, and single/double color of grains were further identified by gene annotation analysis in the interval. The results of QTL analysis in this study will lay a foundation for marker-assisted selection of important traits of cowpea, and candidate gene screening will help to further analyze the genetic mechanism of these traits and improve the level of molecular genetics research of cowpea.

Key words: cowpea, SNP, genetic map, agronomic traits, QTL mapping

李建领, 公丹, 王素华, 陈红霖, 程须珍, 熊涛, 王丽侠. 豇豆SNP高密度遗传图谱构建及重要农艺性状QTL定位[J]. 作物学报, 2022, 48(10): 2475-2482.

LI Jian-Ling, GONG Dan, WANG Su-Hua, CHEN Hong-Lin, CHENG Xu-Zhen, XIONG Tao, WANG Li-Xia. Construction of SNP high-density genetic map and QTL analysis of agronomic traits in cowpea (Vigna unguiculata (L.) Walp.)[J]. Acta Agronomica Sinica, 2022, 48(10): 2475-2482.

图/表 6

表1

表2

表3

表4

表5

附表1

豇豆农艺性状定位QTL区段内的52个非同义突变基因信息"

染色体 Chr.	基因ID Gene ID	QTL区间 QTL interval	基因区间 Genetic interval	基因功能注释 Gene function annotation
3	LOC114178564	54.012-54.53	26659350-26665086	protein WVD2-like 7
3	LOC114175233	54.012-54.53	26678051-26680075	probable aquaporin NIP-type
5	LOC114184079	37.989-37.989	8952543-8954607	CASP-like protein 4B1
5	LOC114185628	37.989-37.989	8960120-8961928	soyasapogenol B glucuronide galactosyltransferase-like
5	LOC114184299	37.989-37.989	8963524-8965966	soyasapogenol B glucuronide galactosyltransferase-like
5	LOC114183879	37.989-37.989	8966609-8968346	soyasapogenol B glucuronide galactosyltransferase-like
5	LOC114183944	37.989-37.989	8973763-8975587	soyasapogenol B glucuronide galactosyltransferase-like
5	LOC114183315	37.989-37.989	8978158-8978658	uncharacterized LOC114183315
5	LOC114184286	37.989-37.989	8982079-8983730	soyasapogenol B glucuronide galactosyltransferase-like
5	LOC114184106	37.989-37.989	8987736-8989630	soyasapogenol B glucuronide galactosyltransferase-like
5	LOC114183319	37.989-37.989	8993599-8994730	uncharacterized LOC114183319
5	LOC114183325	37.989-37.989	8995420-8996926	protein MAIN-LIKE 1-like
染色体 Chr.	基因ID Gene ID	QTL区间 QTL interval	基因区间 Genetic interval	基因功能注释 Gene function annotation
5	LOC114185420	37.989-37.989	9039186-9042595	probable protein phosphatase 2C 65
5	LOC114183906	37.989-37.989	9052366-9054961	patellin-6-like
5	LOC114183956	37.989-37.989	9058059-9060862	pentatricopeptide repeat-containing protein At3g18020
5	LOC114184027	37.989-37.989	9064413-9065319	dirigent protein 22-like
5	LOC114184026	37.989-37.989	9078035-9084744	kelch-like protein 12
5	LOC114184321	37.989-37.989	9098800-9100029	F-box/kelch-repeat protein At3g23880-like
5	LOC114183366	37.989-37.989	9102509-9110139	protein SIEL
7	LOC114191246	50.738-50.997	18194589-18195465	protein FAR1-RELATED SEQUENCE 5-like
7	LOC114191250	50.738-50.997	18272456-18273566	protein MAIN-LIKE 1-like
7	LOC114190940	50.738-50.997	18288489-18290111	cytochrome P450 94A2-like
7	LOC114189521	50.738-50.997	18327604-18332035	probable myosin-binding protein 4
7	LOC114192004	50.738-50.997	18415284-18420952	fructokinase-1
7	LOC114191022	50.738-50.997	18636639-18638015	histone H1-like
7	LOC114189590	52.551-52.810	19451491-19452509	calmodulin-like protein 11
7	LOC114189868	52.551-52.810	19575072-19579311	protein indeterminate-domain 12-like
7	LOC114192564	53.328-53.587	19713195-19721744	VAN3-binding protein-like
7	LOC114192741	53.328-53.587	19735070-19741228	serine/threonine-protein kinase Nek2-like
7	LOC114190506	53.328-53.587	19953568-19958537	type I inositol polyphosphate 5-phosphatase 4-like
7	LOC114189546	67.061-67.320	24405575-24410854	flap endonuclease 1
8	LOC114194067	108.327-108.586	37576701-37580094	uncharacterized LOC114194067
8	LOC114193981	108.327-108.586	37582007-37593015	uncharacterized LOC114193981
8	LOC114195189	108.327-108.586	37602436-37608479	disease resistance protein SUMM2-like
8	LOC114195190	108.327-108.586	37614877-37621041	probable disease resistance protein At1g61180
8	LOC114195691	108.327-108.586	37627795-37655794	uncharacterized LOC114195691
8	LOC114194109	108.327-108.586	37666847-37673621	nuclear pore complex protein NUP133
8	LOC114194567	108.327-108.586	37679572-37683878	photosystem II stability/assembly factor HCF136, chloroplastic-like
8	LOC114193937	108.327-108.586	37693871-37694732	uncharacterized LOC114193937
8	LOC114194173	108.327-108.586	37707580-37710446	OBERON-like protein
8	LOC114195292	108.327-108.586	37724791-37734006	histidine kinase 2
8	LOC114193675	107.55-107.809	37231477-37234638	probable L-type lectin-domain containing receptor kinase S.7
8	LOC114193834	107.55-107.809	37251133-37255531	cellulose synthase-like protein E1
8	LOC114193715	107.55-107.809	37267920-37275855	cellulose synthase-like protein E6
8	LOC114194540	107.55-107.809	37286246-37289537	WEB family protein At5g55860-like
8	LOC114194521	107.55-107.809	37290983-37293883	uncharacterized LOC114194521
8	LOC114194615	107.55-107.809	37314388-37317944	oligopeptide transporter 1-like
9	LOC114196343	57.478-57.737	30208037-30209581	protein TRANSPARENT TESTA GLABRA 1
10	LOC114167141	160.246-160.505	35924191-35935677	proline-, glutamic acid- and leucine-rich protein 1
10	LOC114167157	160.246-160.505	35940037-35947146	mediator of RNA polymerase II transcription subunit 19a
10	LOC114166573	160.246-160.505	35969561-35974234	formin-like protein 1
11	LOC114168914	53.997-54.256	28652619-28654392	probable O-methyltransferase 3

附表1

参考文献 21

[1]	徐雁鸿, 关建平, 宗绪晓. 豇豆种质资源SSR标记遗传多样性分析. 作物学报, 2007, 33: 1206-1209.
	Xu Y H, Guan J P, Zong X X. Genetic diversity analysis of germplasm resources of cowpea based on SSR markers. Acta Agron Sin, 2007, 33: 1206-1209. (in Chinese with English abstract)
[2]	Lonardi S, Muñoz-Amatriaín M, Liang Q, Shu S, Wanamaker S I, Lo S, Tanskanen J, Schulman A H, Zhu T, Luo M C, Alhakami H, Ounit R, Hasan A M, Verdier J, Roberts P A, Santos J R P, Ndeve A, Doležel J, Vrána J, Hokin S A, Farmer A D, Cannon S B, Close T J. The genome of cowpea (Vigna unguiculata [L.] Walp.). Plant J, 2019, 98: 767-782. doi: 10.1111/tpj.14349
[3]	郑卓杰, 王述民, 宗绪晓. 中国食用豆类学. 北京: 中国农业出版社, 1997. pp 196-216.
	Zheng Z J, Wang S M, Zong X X. Chinese Edible Bean Science. Beijing: China Agriculture Press, 1997. pp 196-216. (in Chinese with English abstract)
[4]	Fatokun C A, Menancio-Hautea D I, Danesh D, Young N D. Evidence for orthologous seed weight genes in cowpea and mung bean based on RFLP mapping. Genetics, 1992, 132: 841-846. doi: 10.1093/genetics/132.3.841 pmid: 1361476
[5]	Ouédraogo J T, Gowda B S, Jean M, Close T J, Ehlers J D, Hall A E, Gillaspie A G, Roberts P A, Ismail A M, Bruening G, Gepts P, Timko M P, Belzile F J. An improved genetic linkage map for cowpea (Vigna unguiculata L.) combining AFLP, RFLP, RAPD, biochemical markers, and biological resistance traits. Genome, 2002, 45: 175-188. pmid: 11908660
[6]	Muchero W, Diop N N, Bhat P R, Fenton R D, Wanamaker S, Pottorff M, Hearne S, Cisse N, Fatokun C, Ehlers J D, Roberts P A, Close T J. A consensus genetic map of cowpea [Vigna unguiculata (L.) Walp.] and synteny based on EST-derived SNPs. Proc Natl Acad Sci USA, 2009, 106: 18159-18164. doi: 10.1073/pnas.0905886106
[7]	Lucas M R, Diop N N, Wanamaker S, Ehlers J D, Robert P A, Close T J. Cowpea-soybean synteny clarified through an improved genetic map. Plant Genome, 2011, 4: 218-225. doi: 10.3835/plantgenome2011.06.0019
[8]	Garcia-Oliveira A L, Zate Z Z, Olasanmi B, Boukar O, Gedil M, Fatokun C. Genetic dissection of yield associated traits in a cross between cowpea and yard-long bean (Vigna unguiculata (L.) Walp.) based on DArT markers. J Genet, 2020, 99: 57.
[9]	Pan L, Wang N, Wu Z, Guo R, Yu X, Zheng Y, Xia Q, Gui S, Chen C. A high density genetic map derived from RAD sequencing and its application in QTL analysis of yield-related traits in Vigna unguiculata. Front Plant Sci, 2017, 8: 1544.
[10]	Lo S, Muñoz-Amatriaín M, Boukar O, Herniter I, Cisse N, Guo Y N, Roberts P A, Xu S, Fatokun C, Close T J. Identification of QTL controlling domestication-related traits in cowpea (Vigna unguiculata L. Walp). Sci Rep, 2018, 8: 6261.
[11]	Andargie M, Pasquet R S, Muluvi G M, Timko M P. Quantitative trait loci analysis of flowering time related traits identified in recombinant inbred lines of cowpea (Vigna unguiculata). Genome, 2013, 56: 289-294. doi: 10.1139/gen-2013-0028
[12]	Herniter I A, Muñoz-Amatriaín M, Lo S, Guo Y N, Close T J. Identification of candidate genes controlling black seed coat and pod tip color in cowpea (Vigna unguiculata [L.] Walp). Genes Genom Genet, 2018, 8: 3347-3355.
[13]	Doyle J J, Doyle J L. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem Bull, 1987, 19: 11-15.
[14]	王佩芝, 李锡香. 豇豆种质资源描述规范和数据标准. 北京: 中国农业出版社, 2006. pp 11-23.
	Wang P Z, Li X X. Descriptors and Data Standard for Cowpea [Vigna unguiculata (L.) Walp.]. Beijing: China Agriculture Press, 2006. pp 11-23. (in Chinese with English abstract)
[15]	Wang L X, Wang J, Luo G L, Yuan X X, Gong D, Hu L L, Chen H L, Wang S H, Chen X, Cheng X Z. Construction of a high-density adzuki bean genetic map and evaluation of its utility based on a QTL analysis of seed size. J Integr Agric, 2021, 20: 1753-1761. doi: 10.1016/S2095-3119(20)63343-3
[16]	Liu D, Ma C, Hong W, Huang L, Liu M, Liu H, Zeng H, Deng D, Xin H, Song J, Xu C, Sun X, Hou X, Wang X, Zheng H. Construction and analysis of high-density linkage map using high- throughput sequencing data. PLoS One, 2014, 9: e98855.
[17]	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. doi: 10.1016/j.cj.2015.01.001
[18]	Angira B, Zhang Y, Scheuring C F, Zhang Y, Masor L, Coleman J R, Liu Y H, Singh B B, Zhang H B, Hays D B, Zhang M. Quantitative trait loci influencing days to flowering and plant height in cowpea, Vigna unguiculata (L.) Walp. Mol Genet Genomics, 2020, 295: 1187-1195. doi: 10.1007/s00438-020-01680-y
[19]	Wang J, Li J L, Liu Z X, Yuan X X, Wang S H, Chen H L, Chen X, Cheng X Z, Wang L X. Construction of a high-density genetic map and its application for QTL mapping of leaflet shapes in Mung bean (Vigna radiata L.). Front Genet, 2020, 11: 1032.
[20]	Herniter I A, Lo R, Muñoz-Amatriaín M, Lo S, Guo Y N, Huynh B L, Lucas M, Jia Z, Roberts P A, Lonardi S, Close T J. Seed coat pattern QTL and development in cowpea (Vigna unguiculata [L.] Walp.). Front Plant Sci, 2019, 10: 1346.
[21]	Perrin R M, Wang Y, Yuen C Y, Will J, Masson P H. WVD2 is a novel microtubule-associated protein in Arabidopsis thaliana. Plant J, 2007, 49: 961-971. pmid: 17319849

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

质量性状 Quality trait	亲本 Parent		标准差 SD	显著性差异检测Significant test
质量性状 Quality trait	PGIP14	优冠 Youguan	标准差 SD	显著性差异检测Significant test
荚质Pod type	硬荚Hard pod	软荚Soft pod	—	—
籽粒颜色构成Type of seed color	单Single	单Single	—	—
花色Flower color	白White	紫Purple	—	—
脐环色有无Presence or absence of hilum color	有Present	无Absent	—	—
粒色Seed color	白White	红Red	—	—
荚形Pod shape	圆筒形Cylinder	长圆条形Long cylinder	—	—
荚色 Pod color	紫色Purple	绿色Green	—	—
荚长Pod length	14	73	29.5^**	P < 0.01
主茎分枝数Number of branches per stem	6	12	3^*	P < 0.05
单株荚数Number of pods per plant	16	21	2.5^*	P < 0.05
单荚粒数Number of seeds per pod	12	16	2	P > 0.05
籽粒分布密度Seed density	0.86	0.22	0.32^*	P < 0.05
百粒重Hundred-grain weight	18	30	6^*	P < 0.05

性状 Quality trait	变异类型 Variation types	分布频率Frequency of distribution (%)
性状 Quality trait	变异类型 Variation types	F₂	F₃
荚质Pod type	硬荚Hard pod	92.7	44.3
荚质Pod type	软荚Soft pod	7.3	55.7
籽粒颜色构成Type of seed color	单Single	79.2	37.5
	双Double	20.8	14.1
	杂合Heterozygous		48.4
花色Flower color	紫色Purple	75.5	38.5
	白色White	24.5	18.2
	浅紫Light purple		43.2
脐环色有无Presence or absence of hilum color	有Present	39.6	75.5
脐环色有无Presence or absence of hilum color	无Absent	60.4	24.5
粒色Seed color	深色系Dark color	76.0	72.4
粒色Seed color	浅色系Light color	24.0	27.6
荚形Pod shape	圆筒形Cylinder	40.6	7.3
	长圆筒形Long cylinder	59.4	45.8
	杂合Heterozygous		46.9
荚色Pod color	紫色Purple	58.9	79.7
荚色Pod color	绿色Green	41.1	20.3

性状 Trait	F₂			F₃
性状 Trait	变异范围 Range of variation	平均 Mean value	变异系数 Variable coefficient (%)	变异范围 Range of variation	平均 Mean value	变异系数 Variable coefficient (%)
百粒重Hundred-grain weight (g)	11.3-31.3	20.0	21.56	11.4-28.5	19.7	19.61
荚长Pod length (cm)	11.6-55.2	32.4	25.83	14.4-51.3	27.6	23.97
主茎分枝数Number of branches per main stem	2-12	6.9	24.60	2-13	6.8	25.28
单株荚数Number of pods per plant	2-26	12.2	45.89	2-30	14.2	48.40
单荚粒数Number of seeds per pod	3-16	9.0	25.70	3-18	9.2	25.62
籽粒分布密度Seed density	0.13-0.90	0.40	34.40	0.14-0.80	0.35	35.93

染色体 Chromosome	SNP数量 Number of SNP	Bin标记数 Number of bin marker	总遗传距离 Total distance (cM)	平均遗传距离 Average distance (cM)	最大 Max. gap (cM)
1	4689	184	93.68	0.51	3.53
2	9661	190	84.63	0.45	3.16
3	27,206	502	137.76	0.27	6.99
4	4231	146	129.47	0.89	5.41
5	10,175	280	130.46	0.47	4.05
6	14,727	193	103.91	0.54	7.36
7	9362	193	100.75	0.52	3.22
8	13,572	286	111.80	0.39	3.48
9	10,277	298	136.10	0.46	2.96
10	8552	293	183.15	0.63	10.73
11	29,694	419	121.57	0.29	2.33
总计Total	142,146	2984	1333.28	0.45	10.73

性状 Trait	位点 QTL	染色体 Chr.	起始位置 Start	终止位置 End	加性效应 ADD	显性效应 DOM	贡献率 PVE (%)
荚质Pod type	qPt1^**	1	13.848	14.108	-0.107	0.148	21.753
荚长Pod length	qPL1	3	54.012	54.530	3.563	-1.498	14.666
荚长Pod length	qPL2^*	5	69.084	69.602	2.886	-0.486	7.032
主茎分枝数 Number of branches per stem	qNuBS1^**	5	37.989	37.989	-0.492	-0.206	1.488
籽粒颜色构成 Type of seed color	qTSC1	9	62.767	63.285	-0.340	-0.336	9.650
籽粒颜色构成 Type of seed color	qTSC2	7	67.061	67.320	0.088	0.231	4.301
花色 Flower color	qFC1	7	53.328^#	53.587	0.394	0.276	10.790
花色 Flower color	qFC2^**	7	50.738	50.997	0.350	0.261	8.180
脐环色有无 Presence or absence of hilum color	qPAHC1	7	53.328^#	53.587	-0.365	-0.313	7.342
粒色 Seed color	qSC1^**	7	52.551	52.810	2.877	2.532	13.780
	qSC2^*	5	19.178	19.437	0.621	-0.662	25.802
	qSC3^*	9	57.478	57.737	-0.375	-0.530	2.036
单株荚数Pods per plant	qPP1	8	107.550	107.809	-1.728	-1.902	1.368
单荚粒数Seeds per pod	qSP1	8	108.327^##	108.586	-0.965	-1.579	4.818
荚形Pod shape	qPS1	8	108.327^##	108.586	0.256	0.266	3.906
籽粒分布密度Seed density	qSD1^**	8	108.327^##	108.586	0.816	0.752	5.011
百粒重Hundred-grain weight	qSW1	8	108.327^##	108.586	3.471	2.837	7.784
成熟期Mature period	qMP1^**	10	160.246	160.505	-2.375	-0.958	2.408
荚色Pod color	qPC1	11	53.997	54.256	-0.602	0.409	48.682

豇豆SNP高密度遗传图谱构建及重要农艺性状QTL定位

Construction of SNP high-density genetic map and QTL analysis of agronomic traits in cowpea (Vigna unguiculata (L.) Walp.)

RichHTML

PDF

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 21

相关文章 15

Metrics

本文评价

推荐阅读 10

关于本刊

在线期刊

作者中心

相关单位

联系我们

[1]	柯会锋, 张震, 谷淇深, 赵艳, 李培育, 张冬梅, 崔彦茹, 王省芬, 吴立强, 张桂寅, 马峙英, 孙正文. 低磷胁迫下陆地棉苗期根生物量相关性状全基因组关联分析[J]. 作物学报, 2022, 48(9): 2168-2179.
[2]	胡文静, 李东升, 裔新, 张春梅, 张勇. 小麦穗部性状和株高的QTL定位及育种标记开发和验证[J]. 作物学报, 2022, 48(6): 1346-1356.
[3]	于春淼, 张勇, 王好让, 杨兴勇, 董全中, 薛红, 张明明, 李微微, 王磊, 胡凯凤, 谷勇哲, 邱丽娟. 栽培大豆×半野生大豆高密度遗传图谱构建及株高QTL定位[J]. 作物学报, 2022, 48(5): 1091-1102.
[4]	刘丹, 周彩娥, 王晓婷, 吴启蒙, 张旭, 王琪琳, 曾庆东, 康振生, 韩德俊, 吴建辉. 利用集群分离分析结合高密度芯片快速定位小麦成株期抗条锈病基因YrC271[J]. 作物学报, 2022, 48(3): 553-564.
[5]	郑向华, 叶俊华, 程朝平, 魏兴华, 叶新福, 杨窑龙. 利用SNP标记进行水稻品种籼粳鉴定[J]. 作物学报, 2022, 48(2): 342-352.
[6]	张艳波, 王袁, 冯甘雨, 段慧蓉, 刘海英. 棉籽油分和3种主要脂肪酸含量QTL分析[J]. 作物学报, 2022, 48(2): 380-395.
[7]	宋博文, 王朝欢, 赵哲, 陈淳, 黄明, 陈伟雄, 梁克勤, 武名. 基于高密度遗传图谱对水稻粒形QTL定位及分析[J]. 作物学报, 2022, 48(11): 2813-2825.
[8]	余鑫莲, 李新, 姚晓华, 姚有华, 白羿雄, 安立昆, 吴昆仑. 青稞早抽穗主效QTL cqHD2H-2的遗传定位及候选基因分析[J]. 作物学报, 2022, 48(10): 2463-2474.
[9]	张潇文, 李世姣, 张晓军, 李欣, 杨足君, 张树伟, 陈芳, 常利芳, 郭慧娟, 畅志坚, 乔麟轶. 小麦品系CH7034中耐盐QTL定位[J]. 作物学报, 2022, 48(10): 2654-2662.
[10]	许德蓉, 孙超, 毕真真, 秦天元, 王一好, 李成举, 范又方, 刘寅笃, 张俊莲, 白江平. 马铃薯StDRO1基因的多态性鉴定及其与根系性状的关联分析[J]. 作物学报, 2022, 48(1): 76-85.
[11]	赵婧, 孟凡钢, 于德彬, 邱强, 张鸣浩, 饶德民, 丛博韬, 张伟, 闫晓艳. 不同磷效率大豆农艺性状与磷/铁利用率对磷素的响应[J]. 作物学报, 2021, 47(9): 1824-1833.
[12]	张波, 裴瑞琴, 杨维丰, 朱海涛, 刘桂富, 张桂权, 王少奎. 利用单片段代换系鉴定巴西陆稻IAPAR9中的粒型基因[J]. 作物学报, 2021, 47(8): 1472-1480.
[13]	耿腊, 黄业昌, 李梦迪, 谢尚耿, 叶玲珍, 张国平. 大麦籽粒β-葡聚糖含量的全基因组关联分析[J]. 作物学报, 2021, 47(7): 1205-1214.
[14]	邓妍, 王娟玲, 王创云, 赵丽, 张丽光, 郭虹霞, 郭红霞, 秦丽霞, 王美霞. 生物菌肥与无机肥配施对藜麦农艺性状、产量性状及品质的影响[J]. 作物学报, 2021, 47(7): 1383-1390.
[15]	周新桐, 郭青青, 陈雪, 李加纳, 王瑞. GBS高密度遗传连锁图谱定位甘蓝型油菜粉色花性状[J]. 作物学报, 2021, 47(4): 587-598.