越冬栽培稻产量性状相关QTL定位

doi:10.3724/SP.J.1006.2019.82045

Abstract

Abstract:

Overwintering cultivated rice is a type of special rice that can survive through cold-winter season, germinate in spring of the coming year, seed and be harvested. In this study, four genetic linkage maps contained 108, 116, 111, and 184 SSR markers were constructed using three half-sib F₂ populations from overwintering cultivated rice for the identification of QTLs affecting yield traits, respectively. Phenotypic values for yield traits were investigated for QTL mapping and other statistical analysis using Microsoft Excel 2003, GraphPadPrism 5.0, and QTL IciMapping 4.10. The phenotypic values for yield traits exhibited a continuously normal distribution and might be controlled by quantitative trait locus (QTL). A total of 37 QTLs affecting 15 yield traits and 26 epistatic QTL pairs with one or more interactions were detected in the three populations, explaining the wide phenotypic variance ranging from 2.32% to 36.31% and from 1.04% to 2.05% respectively. Among these QTLs, nine QTLs affecting two or more traits were detected on chromosomes 1, 3, 6, 8, 11, and 12 respectively. Thirteen QTLs affecting yield-related traits were detected by nested association mapping (NAM) mapping; four out of thirteen were overlapped with QTLs detected in single mapping population. The additive-dominance QTL affecting yield traits played an important role than that of epistatic QTL. Overall, this research lays a good foundation for the mining of yield-related genes from overwintering cultivated rice and their breeding innovation and utilization.

Key words: QTL mapping, yield traits, overwintering cultivated rice

YAN Chao,ZHENG Jian,DUAN Wen-Jing,NAN Wen-Bin,QIN Xiao-Jian,ZHANG Han-Ma,LIANG Yong-Shu. Locating QTL controlling yield traits in overwintering cultivated rice[J].Acta Agronomica Sinica, 2019, 45(4): 522-537.

Figures/Tables 9

Fig. 1

Table 1

Field performance of yield traits in the biparents, hybrid F1, and F2 populations"

性状 Trait	亲本 Parent				T测验值 T-test value			杂种F₁Hybrid F₁			平均值±标准差 Means±SD			变幅 Range
性状 Trait	绵恢725 Mianhui 725	W1	W2	W3	W1	W2	W3	OW1	OW2	OW3	OW1	OW2	OW3	OW1	OW2	OW3
株高PH (cm)	122.67	139.13	99.79	115.70	2.26	3.27^*	3.01^*	155.58	143.75	142.80	133.51±19.58	112.97±15.50	128.22±18.88	89.80-174.80	84.20-151.3	88.50-176.50
有效穗数PN	12	17	21	23	2.38	4.92^**	3.31^*	18	16	115	15.63±5.92	13.26±5.08	13.10±6.54	5-29	5-29	4-43
穗长PL (cm)	29.27	27.43	19.67	19.23	3.76^*	18.02^**	29.96^**	32.50	24.50	26.50	27.75±2.84	22.70±2.79	25.41±3.43	20.86-30.57	18.23-29.87	18.75-33.21
穗实粒数 NFG	334	188	192	142	6.41^**	6.27^**	25.56^**	105	95	87	144.06±80.47	133.47±75.20	142.14±78.10	2-379	6-308	2-327
穗空粒数NEG	16.33	47.38	39.00	40.80	3.19^*	1.07	3.90^*	282	226	215	118.15±73.44	135.90±67.83	140.75±91.52	24-387	26-310	6-423
穗总粒数SPP	350	235	231	183	5.76^**	5.63^**	14.07^**	387	321	302	262.22±77.31	269.37±70.59	280.20±86.51	76-442	108-441	133-603
结实率 SSR (%)	95.33	79.86	83.10	77.68	3.42^*	1.33	7.12^**	27.13	29.60	28.81	51.80±12.90	46.44±9.67	50.64±4.82	7.69-60.98	14.29-52.53	25.00-55.88
穗粒密度GSD	11.96	8.57	11.70	7.90	5.13^**	0.31	4.23^**	11.90	13.10	11.35	9.47±2.94	11.96±3.25	11.02±3.06	2.84-15.13	5.80-20.31	4.71-19.82
粒长GL (mm)	9.74	7.11	7.13	6.84	15.65^**	10.58^**	16.16^**	8.11	8.25	8.30	8.27±0.57	7.83±0.83	7.94±0.43	7.16-9.66	2.80-9.41	7.11-9.20
粒宽GW (mm)	2.34	3.43	3.42	3.26	11.61^**	8.14^**	13.29^**	3.25	3.18	3.20	2.84±0.26	2.88±0.61	2.89±0.28	2.27-3.65	2.15-7.67	2.38-3.60
粒厚GT (mm)	1.92	2.44	2.41	2.20	2.25	5.77^**	6.60^**	2.55	2.45	2.35	2.01±0.09	2.05±0.13	2.06±0.16	1.82-2.21	1.70-2.34	1.60-2.59
粒长宽比LWR	4.18	2.08	2.09	2.09	17.65^**	14.25^**	13.90^**	2.20	2.60	2.60	2.93±0.33	2.78±0.44	2.78±0.31	2.32-3.69	0.98-3.95	2.14-3.46
千粒重TGW (g)	21.06	22.49	23.33	24.78	2.38	1.49	7.95^**	24.70	25.50	24.80	21.76±1.85	20.94±1.57	23.34±1.84	15.0-31.90	15.10-49.50	16.20-40.00
主穗重MPW (g)	7.26	4.15	3.43	3.36	8.52^**	10.10^**	25.81^**	2.45	2.04	1.85	3.83±1.84	3.47±1.56	3.94±1.83	0.45-8.77	0.90-7.10	1.06-9.87
单株产量GYP (g)	69.02	59.43	55.85	50.47	0.93	0.26	1.50	47.85	37.56	33.56	32.71±24.28	24.79±20.13	30.60±31.11	0.39-126.30	0.46-76.96	0.78-188.85

Table 1

Fig. 2

Table 2

Correlation (r) coefficients among yield traits in three populations"

性状 Trait	群体 Population	穗数 NP	穗长 PL	穗实粒数 NFG	穗空粒数 NEG	穗总粒数 SPP	结实率 SSR	穗粒密度 GSD	粒长 GL	粒宽 GW	粒厚 GT	长宽比 LWR	单穗重 MPW	千粒重 TGW	单株重 GYP
株高 PH	OW1	0.17^*	0.45^**	0.36^**	0.01	0.38^**	0.23^**	0.25^**	0.17^*	0.02	-0.18^*	0.10	0.48^**	0.12	0.31^**
	OW2	0.12	0.55^**	0.22^**	0.06	0.29^**	0.12	0.04	0.18^*	-0.15^*	-0.14	0.25^**	0.27^**	-0.05	0.25^**
	OW3	0.34^**	0.63^**	0.16^*	0.18^*	0.32^**	-0.04	0.10	0.06	0.06	-0.10	-0.04	0.03	0.21^**	0.26^**
穗数 NP	OW1		-0.01	0.16^*	-0.09	0.08	0.18^*	0.10	-0.02	-0.02	-0.05	0.00	0.18^*	-0.03	0.55^**
	OW2		0.02	0.29^**	-0.12	0.19^*	0.18^*	0.18^*	0.08	-0.12	-0.01	0.15^*	0.23^**	0.01	0.63^**
	OW3		0.38^**	0.31^**	-0.04	0.23^**	0.17^*	0.08	-0.06	0.10	-0.02	-0.07	0.17^*	0.04	0.73^**
穗长PL	OW1			0.18^*	0.04	0.23^**	0.10	-0.09	0.21^**	0.04	0.09	0.09	0.21^**	-0.09	0.11
	OW2			0.06	0.12	0.18^*	0.03	-0.25^**	0.16^*	-0.22^**	-0.16^*	0.27^**	0.18^*	0.01	0.11
	OW3			0.29^**	0.17^*	0.43^**	0.04	0.02	0.24^**	0.08	-0.21^**	0.13	0.07	0.17^*	0.38^**
穗实粒数 NFG	OW1				-0.50^**	0.57^**	0.84^**	0.51^**	0.02	-0.15^*	0.00	0.09	0.94^**	0.02	0.69^**
	OW2				-0.52^**	0.57^**	0.88^**	0.54^**	0.16^*	-0.08	-0.11	0.23^**	0.88^**	-0.19^*	0.78^**
	OW3				-0.45^**	0.41^**	0.81^**	0.32^**	0.01	0.05	0.15^*	0.03	0.21^**	0.08	0.67^**
穗空粒数 NEG	OW1					0.43^**	-0.81^**	0.43^**	-0.07	0.11	-0.17^*	-0.12	-0.36^**	-0.02	-0.37^**
	OW2					0.41^**	-0.81^**	0.34^**	-0.12	0.07	-0.07	-0.22^**	-0.43^**	0.07	-0.45^**
	OW3					0.63^**	-0.83^**	0.62^**	-0.01	-0.11	-0.27^**	0.20^**	-0.13	-0.20^**	-0.35^**
穗总粒数 SPP	OW1						0.11	0.95^**	-0.05	-0.05	-0.16^*	-0.01	0.64^**	0.00	0.36^**
	OW2						0.16^*	0.90^**	0.05	-0.02	-0.18^*	0.03	0.53^**	-0.13	0.40^**
	OW3						-0.14	0.90^**	0.00	-0.08	-0.14	0.22^**	0.05	-0.13	0.22^**
结实率 SSR	OW1							0.07	0.05	-0.13	0.17^*	0.11	0.74^**	0.03	0.60^**
	OW2							0.16^*	0.13	-0.09	-0.03	0.24^**	0.76^**	-0.19^*	0.68^**
	OW3							-0.17^*	0.01	0.11	0.28^**	-0.10	0.21^**	0.22^**	0.57^**
穗粒密度 GSD	OW1								-0.13	-0.06	-0.20^**	-0.05	0.58^**	0.02	0.34^**
	OW2								-0.01	0.09	-0.10	-0.09	0.44^**	-0.14	0.35^**
	OW3								-0.12	-0.11	-0.06	0.18^*	0.03	-0.21^**	0.07
粒长 GL	OW1									0.04	-0.02	0.59^**	0.10	0.24^**	0.07
	OW2									0.06	-0.12	0.62^**	0.23^**	0.05	0.19^*
	OW3										-0.05	-0.24^**	0.42^**	-0.14	0.03
粒宽GW	OW1										0.36^**	-0.78^**	-0.04	0.23^**	-0.06
	OW2										0.14	-0.66^**	-0.04	0.16^*	-0.12
	OW3										-0.02	-0.71^**	0.06	0.01	0.21^**
粒厚 GT	OW1											-0.30^**	0.03	0.09	0.07
	OW2											-0.32^**	0.00	0.38^**	-0.11
	OW3											-0.20^**	0.05	0.39^**	0.08
长宽比 LWR	OW1												0.06	-0.04	0.06
	OW2												0.18^*	-0.23^**	0.25^**
	OW3												-0.24^**	-0.25^**	-0.16^*
单穗重 MPW	OW1													0.10	0.68^**
	OW2													0.09	0.78^**
	OW3													0.16^*	0.16^*
千粒重TGW	OW1														0.20^**
	OW2														-0.02
	OW3														0.15^*

Table 2

Table 3

Locating QTLs for yield traits in three populations"

性状 Trait	群体 Population	QTL	染色体 Chr.	标记区间 Marker interval	LOD值 LOD value	加性效应 Additive	显性效应 Dominant	贡献率 R²(%)	作图群体或参考文献Mapping populations
株高 PH	OW1	qPH1	1	RM3362-RM3738	7.18	18.19	15.29	36.31	[30]
穗数 PN	OW2	qPN10	10	RM1146-RM25664	3.10	2.43	-3.09	5.42
穗数 PN	OW2	qPN12	12	RM7018-RM1227	3.17	4.53	-4.84	15.70	W2
穗数 PN	OW3	qPN11	11	RM5599-RM7240	3.35	-6.39	-8.75	5.11
穗空粒数NEG	OW1	qNEG1	1	RM7405-RM8084	5.48	71.96	-85.60	8.67
穗空粒数NEG	OW1	qNEG5	5	RM6517-RM3170	7.25	69.77	-112.64	9.22
穗空粒数NEG	OW1	qNEG6a	6	RM276-RM1369	3.44	89.52	-71.69	8.43
穗空粒数NEG	OW2	qNEG11	11	RM4746-RM254	3.83	-12.01	113.53	2.93
穗空粒数NEG	OW3	qNEG6b	6	RM8242-RM3138	3.71	-30.06	81.06	20.68	Mianhui 725
穗总粒数SPP	OW1	qSPP1	1	RM3604-RM5359	3.19	-61.55	-16.63	20.99	[31]
结实率SSR	OW1	qSSR3a	3	RM5686-RM6291	3.58	1.57	-23.13	14.23	W1
结实率SSR	OW1	qSSR5	5	RM3170-RM3348	3.44	8.62	11.50	9.33	W1
结实率SSR	OW1	qSSR8	8	RM22418-RM6838	3.94	0.44	-21.23	12.41
结实率SSR	OW2	qSSR3b	3	RM1350-RM487	3.54	-11.85	-6.74	9.91
性状 Trait	群体 Population	QTL	染色体 Chr.	标记区间 Marker interval	LOD值 LOD value	加性效应 Additive	显性效应 Dominant	贡献率 R²(%)	作图群体或参考文献Mapping populations
结实率SSR	OW3	qSSR6	6	RM8242-RM3138	3.22	8.82	-29.68	16.24	[35]
穗粒密度 GSD	OW1	qGSD1	1	RM3604-RM5359	4.49	-2.39	-0.49	26.30
粒长 GL	OW1	qGL3	3	RM6291-RM6038	4.87	-0.47	-0.09	25.30	[32]
粒长 GL	OW2	qGL7	7	RM3859-RM1306	3.23	2.52	2.64	2.32
粒宽 GW	OW1	qGW3a	3	RM15281-RM6959	3.70	0.16	0.02	16.06	[33-34]
粒宽 GW	OW1	qGW5	5	RM1024-RM6517	4.99	0.19	-0.01	25.56	[39]
粒宽GW	OW2	qGW3b	3	RM5639-RM1284	3.25	-1.22	1.30	6.69
粒宽 GW	OW2	qGW11	11	RM26652-RM4746	21.43	-0.05	4.82	25.02
粒长宽比LWR	OW1	qLWR3	3	RM15281-RM6959	7.69	-0.26	-0.12	23.81	[36-37]
粒长宽比 LWR	OW1	qLWR4	4	RM6540-RM5979	3.06	-0.07	0.24	10.18	[38]
粒长宽比LWR	OW1	qLWR6	6	RM276-RM1369	3.51	-0.20	0.12	12.92	Mianhui 725
粒长宽比LWR	OW3	qLWR8	8	RM5637-RM6948	4.84	-1.21	1.35	5.10
千粒重TGW	OW1	qTGW1a	1	RM3362-RM3738	6.04	10.26	10.00	5.17
千粒重TGW	OW1	qTGW1b	1	RM3738-RM6887	6.56	10.39	9.74	5.19
千粒重TGW	OW1	qTGW3a	3	RM6509-RM85	9.72	-10.66	8.70	5.40
千粒重TGW	OW1	qTGW3b	3	RM85-RM186	9.80	-11.60	7.26	6.20
千粒重TGW	OW1	qTGW6	6	RM1370-RM6395	3.43	-9.84	10.39	3.81	[40]
单株产量 GYP	OW2	qGYP3a	3	RM1350-RM487	3.24	-19.29	-18.18	6.19
单株产量 GYP	OW2	qGYP3b	3	RM487-RM6484	4.52	-19.23	-22.11	6.28
单株产量 GYP	OW2	qGYP11	11	RM4746-RM254	4.24	1.33	39.74	7.01
单株产量 GYP	OW2	qGYP12	12	RM7018-RM1227	6.23	22.07	-20.40	6.50	[41]
单株产量 GYP	OW3	qGYP5	5	RM5994-RM1237	3.77	-59.59	-57.78	7.06
单株产量 GYP	OW3	qGYP8	8	RM5637-RM6948	5.31	49.58	-57.95	8.04

Table 3

Fig. 3

Table 4

Table 5

Epistasis QTL underlying yield traits in te three populations"

名称 ID	群体 Population	性状 Trait	染色体 Chr.	区间1 Interval 1	染色体 Chr.	区间2 Interval 2	LOD值 LOD value	贡献率 R²(%)	加性1 Add 1	加性2 Add 2	显性1 Dom 1	显性2 Dom 2	加性-加性 Add by Add	加性-显性 Add by Dom	显性-加性 Dom by Add	显性-显性 Dom by Dom
IA-1	OW1	TGW	3	RM85-RM186	1	RM7405-RM8084	15.43	1.32	3.65	2.92	11.06	8.17	-6.49	-2.29	-5.61	-14.63
IA-2	OW1	TGW	3	RM85-RM186	8	RM6976-RM7631	14.55	1.22	-0.20	-0.15	-1.15	-7.33	1.01	-12.62	-1.49	7.11
IA-3	OW1	NEG	5	RM6517-RM3170	11	RM5599-RM202	7.90	1.23	54.35	52.43	29.34	-17.72	66.90	-96.47	-111.77	-52.55
IA-4	OW1	NEG	6	RM276-RM1369	1	RM7405-RM8084	8.73	1.34	66.13	64.19	-156.91	-93.93	-17.74	-39.60	-63.95	96.94
IA-5	OW2	NEG	5	RM6229-RM289	7	RM3859-RM1306	5.28	1.92	16.05	4.43	78.99	17.93	13.54	-59.95	77.93	10.25
IA-6	OW2	NEG	11	RM4746-RM254	3	RM1350-RM487	5.49	2.05	20.12	1.88	39.89	130.61	-12.33	33.49	-75.32	-146.32
IA-7	OW2	NEG	11	RM4746-RM254	10	RM1146-RM25664	5.01	1.67	18.62	-30.10	-34.46	43.81	10.42	-97.83	36.29	71.52
IA-8	OW2	SSR	3	RM1350-RM487	1	RM572-RM129	5.43	2.04	0.47	5.70	17.32	22.18	-21.60	3.53	-14.12	-54.89
IA-9	OW2	SSR	3	RM1350-RM487	6	RM6395-RM1340	5.71	2.45	-9.59	-15.15	-0.19	-7.41	-7.56	-22.14	34.33	6.11
IA-10	OW2	SSR	5	RM1024-RM163	7	RM3859-RM1306	5.44	2.35	2.47	-6.13	-13.23	13.23	12.19	5.73	5.066	-41.14
IA-11	OW2	SSR	5	RM1024-RM163	9	RM6497-RM24085	5.67	2.23	1.21	-0.00	42.36	10.05	11.01	-24.85	-4.23	-37.28
IA-12	OW2	SSR	5	RM1024-RM163	10	RM590-RM1146	5.49	2.29	11.22	-9.96	-9.73	-14.86	-2.95	-36.15	37.65	11.41
IA-13	OW2	GL	7	RM3859-RM1306	11	RM4746-RM254	10.63	1.43	1.05	1.51	1.46	0.77	-1.19	-0.44	-1.49	-0.03
IA-14	OW2	GW	3	RM5639-RM1284	5	RM6229-RM289	17.48	1.18	0.46	0.75	-0.63	-1.88	0.68	-1.61	-0.85	2.20
IA-15	OW2	GW	3	RM5639-RM1284	12	RM7018-RM1227	17.57	1.18	-0.11	-1.15	0.08	-0.37	-1.31	-0.02	1.30	0.12
IA-16	OW2	GW	11	RM26652-RM4746	5	RM6229-RM289	25.85	1.91	-0.04	-0.06	-0.07	2.45	0.10	2.42	0.10	-2.32
IA-17	OW2	GW	11	RM26652-RM4746	8	RM6838-RM22418	28.02	2.03	0.17	-0.06	-0.08	2.12	-0.05	-2.86	0.07	-1.84
IA-18	OW2	TGW	8	RM6838-RM22418	7	RM3859-RM1306	13.57	1.39	-7.92	6.58	-19.26	-8.18	-5.14	7.88	2.00	19.47
IA-19	OW2	TGW	8	RM6838-RM22418	11	RM4746-RM254	13.12	1.56	4.33	9.93	-7.15	-16.13	5.78	6.95	-10.99	13.79
IA-20	OW2	GYP	3	RM1350-RM487	7	RM3859-RM1306	10.88	1.33	-7.87	1.96	-37.45	-37.77	15.86	1.93	-3.76	52.98
IA-21	OW2	GYP	3	RM1350-RM487	11	RM4746-RM254	8.69	1.30	-24.38	5.65	-12.24	6.35	-8.16	45.26	4.54	-8.83
IA-22	OW3	PN	11	RM5599-RM7240	1	RM3604-RM1287	6.27	1.82	-6.87	-8.03	-0.70	2.06	5.14	0.02	7.39	-10.36
IA-23	OW3	LWR	8	RM5637-RM6948	9	RM1328-RM1189	9.37	1.04	-0.02	0.07	-0.14	-1.38	-0.06	-1.17	-0.35	1.50
IA-24	OW3	GYP	5	RM5994-RM1237	1	RM3738-RM6470	7.80	1.22	-2.53	7.25	39.42	-13.38	-10.94	0.65	-74.54	-35.93
IA-25	OW3	GYP	5	RM5994-RM1237	6	RM8242-RM3138	9.46	1.45	7.72	15.93	-30.03	27.63	0.44	-75.59	-11.40	-11.70
IA-26	OW3	GYP	11	RM5599-RM7240	5	RM5994-RM1237	8.26	1.41	4.01	-19.14	-29.06	29.10	-1.18	-73.32	14.84	-9.05

Table 5

Table 6

References 44

[1]	Xiao J H, Li J M, Yuan L P, Tanksley S D . Dominance is the major genetic basis of heterosis in rice as revealed by QTL analysis using molecular markers. Genetics, 1995,140:745-754. doi: 10.1007/BF01441162 pmid: 7498751
[2]	Xue W Y, Xing Y Z, Weng X Y, Zhao Y, Tang W J, Wang L, Zhou H J, Yu S B, Xu C G, Li X H, Zhang Q F . Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice. Nat Genet, 2008,40:761-767.
[3]	Mao H L, Sun S Y, Yao J L, Wang C R, Yu S B, Xu C G, Li X H . Linking differential domain functions of the GS3 protein to natural variation of gain size in rice. Proc Natl Acad Sci USA, 2010,107:19579-19584.
[4]	Wang Y X, Xiong G S, Hu J, Jiang L, Yu H, Xu J, Fang Y X, Zeng L J, Xu E B, Xu J, Ye W J, Meng X B, Liu R F, Chen H Q, Jing Y H, Wang Y H, Zhu X D, Li J Y, Qian Q . Copy number variation at the GL7 locus contributes to grain size diversity in rice. Nat Genet, 2015,47:944-948. doi: 10.1038/ng.3346 pmid: 26147619
[5]	Ashikari M, Sakakibara H, Lin S Y, Yamamoto T, Takashi T, Nishimura A, Angeles E R, Qian Q, Kitano H, Matsuoka M . Cytokinin oxidase regulates rice grain production. Science, 2005,309:741-745. doi: 10.1126/science.1113373 pmid: 15976269
[6]	Song X J, Huang W, Shi M, Zhu M Z, Lin H X . A QTL for rice grain width and weight encodes a previously unknown RING- type E3 ubiquitin ligase. Nat Genet, 2007,39:623-630. doi: 10.1038/ng2014 pmid: 17417637
[7]	Weng J F, Gu S H, Wan X Y, Guo T, Su N, Lei C L, Zhang X, Cheng Z J, Guo X P, Wang J L, Jiang L, Zhai H Q, Wan J M . Isolation and initial characterization of GW5, a major QTL associated with rice grain width and weight. Cell Res, 2008,18:1199-1209. doi: 10.1038/cr.2008.307 pmid: 19015668
[8]	Wang S K, Wu K, Yuan Q B, Liu X Y, Liu Z B, Lin X Y, Zeng R Z, Zhu H T, Dong G J, Qian Q, Zhang G Q, Fu X D . Control of grain size, shape and quality by OsSPL16 in rice. Nat Genet, 2012,44:950-954. doi: 10.1038/ng.2327 pmid: 22729225
[9]	Ishimaru K, Hirotsu N, Madoka Y, Murakami N, Hara N, Onodera H, Kashiwagi T, Ujiie K, Shimizu B, Onishi A, Miyagawa H, Katoh E . Loss of function of the IAA-glucose hybrolase gene TGW6 enhances rice grain weight and increases yield. Nat Genet, 2013,45:707-711. doi: 10.1038/ng.2612 pmid: 23583977
[10]	He G, Luo X, Tian F, Li K, Zhu Z, Su W, Qian X, Fu Y, Wang X K, Sun C Q, Yang J C . Haplotype variation in structure and expression of a gene cluster associated with a quantitative trait locus for improved yield in rice. Genome Res, 2006,16:618-626. doi: 10.1101/gr.4814006 pmid: 16606701
[11]	Si L Z, Chen J Y, Huang X H, Gong H, Luo J H, Hou Q Q, Zhou T Y, Lu T T, Zhu J J , Shang-guan Y Y, Chen E W, Gong C X, Zhao Q, Jing Y Y, Zhao Y, Li Y, Cui L L, Fan D L, Lu Y Q, Weng Q J, Wang Y C, Zhang Q L, Liu K Y, Wei X H, An K G, An G, Han B. OsSPL13 controls grain size in cultivated rice. Nat Genet, 2016,48:447-456. doi: 10.1038/ng.3518 pmid: 26950093
[12]	严斧 . 水稻的越冬性. 生物学通报, 1959, ( 12):551.
	Yan F . Overwintering characteristic of rice. Bull Biol, 1959, ( 12):551 (in Chinese).
[13]	严斧 . 越冬再生水稻的研究现状与前景. 作物研究, 2012,26(1):79-84.
	Yan F . Research status and prospect of overwintering rice. Crop Res, 2012,26(1):79-84 (in Chinese).
[14]	陈金铨, 刘志兵, 李义珍, 王玲, 高诚, 将家换 . 多年生粳稻留桩高度研究. 福建稻麦科技, 1996,14(4):22-24.
	Chen J Q, Liu Z B, Li X Z, Wang L, Gao C, Jiang J H . The study on retained stubble height of perennial japonica rice. Fujian Sci Technol Rice & Wheat, 1996,14(4):22-24 (in Chinese).
[15]	缪国民, 沈培清, 徐东方 . 自然越冬稻桩再生栽培成功. 上海农业科学, 2001, ( 3):80-81.
	Miu G M, Shen P Q, Xu D F . Sucessful cultivation of natural regnerating overwintering rice. Shanghai Agric Sci, 2001, ( 3):80-81(in Chinese).
[16]	刘传光, 伍时照, 冯正炼, 王雪梅, 阳小白 . 宿根性水稻D.S89-1越冬特性及其应用前景初探. 中国稻米, 1997, ( 1):13-15.
	Liu C G, Wu S Z, Ma Z L, Wang X M, Yang X B . Overwintering characteristic and application prospects of ratooning rice D ^.S89-1 . China Rice, 1997, ( 1):13-15 (in Chinese).
[17]	刘传光, 伍时照, 王雪梅, 阳小白 . 宿根性水稻的越冬机制初探. 作物研究, 1999,13(4):12-13.
	Liu C G, Wu S Z, Wang X M, Yang X B . Preliminary study on overwintering mechanism of ratoon rice. Crop Res, 1999,13(4):12-13.
[18]	赵正武, 王述民, 李世平, 严明建, 雷树凡, 吕直文, 袁项成, 冉彦秀 . 珍稀稻种资源越冬糯稻89-1研究初报. 杂交水稻, 2000,16(3):3-4.
	Zhao Z W, Wang S M, Li S P, Yan M J, Lei S F, Lu Z W, Yuan X C, Ran Y X . A preliminary study on the overwintering glutinous rice 89-1. Hybrid Rice, 2000,16(3):3-4 (in Chinese with English abstract).
[19]	赵正武, 李仕贵, 雷树凡 . 糯稻89-1越冬性遗传研究. 中国农业科学, 2006,39:2399-2405.
	Zhao Z W, Li S G, Lei S F . Genetic analysis on overwintering character of glutinous rice 89-1. Sci Agric Sin, 2006,39:2399-2405 (in Chinese with English abstract).
[20]	陈大洲, 肖叶青, 皮勇华, 邬文昌, 胡兰香, 罗世友, 吴小燕 . 越冬粳稻品种“东野1号”的选育. 作物研究, 2007,21(3):254.
	Chen D Z, Xiao Y Q, Pi Y H, Wu W C, Hu L X, Luo S Y, Wu X Y . Breeding japonica rice varieties overwinter of “Dongwild 1”. Crop Res, 2007,21(3):254 (in Chinese).
[21]	贺浩华, 胡达礼, 傅军如, 刘宜宾, 李海波, 邹小云, 彭小松, 陈小荣, 贺晓鹏, 朱昌兰 . 水稻越冬品系及越冬不育系的选育. 江西农业大学学报, 2005,27:659-661.
	He H H, Hu D L, Fu J R, Liu Y B, Li H B, Zou X Y, Peng X S, Chen X R, He X P, Zhu C L . Breeding of surviving-in-winter lines and surviving-in-winter sterile lines in rice. Acta Agric Univ Jiangxiensis, 2005,27:659-661 (in Chinese with abstract English).
[22]	傅军如, 李海波, 胡达礼, 刘宜宾, 邹小云, 贺浩华 . 水稻越冬品系的杂种优势及配合力分析. 江西农业大学学报, 2007,29:323-330.
	Fu J R, Li H B, Hu D L, Liu Y B, Zou X Y, He H H . Analysis on heterosis and combining ability of surviving in winter (SW) lines in rice. Acta Agric Univ Jiangxiensis, 2007,29:323-330 (in Chinese with abstract English).
[23]	Liang Y S, Zheng J, Yan C, Li X X, Liu S F, Zhou J J, Qin X J, Nan W, Yang Y Q, Zhang H M . Locating QTLs controlling overwintering trait in Chinese perennial Dongxiang wild rice. Mol Genet Genomics, 2018,293(1):81-93. doi: 10.1007/s00438-017-1366-5 pmid: 28879498
[24]	申宗坦 . 作物育种学实验. 中国农业出版社, 1995. pp 112-114.
	Shen Z D. . Crop Breeding Experiment. Beijing: Chinese Agricultural Press, 1995. pp 112-114(in Chinese).
[25]	McCouch S R, Teytelman L, Xu Y B, Lobos K B, Clare K, Walton M, Fu B Y, Maghirang R, Li Z K, Xing Y Z, Zhang Q F, Kono I, Yano M, Fjellstrom R, DeClerrck G, Schneider D, Cartinhour S, Ware D, Stein L . Development of 2240 new SSR markers for rice ( Oryza sativa L.). DNA Res, 2002,9:199-207.
[26]	张凤娟, 张满良, 朱水芳 . 一种改进的水稻总DNA的快速提取方法. 植物检疫, 2004,18:330-332.
	Zhang F J, Zhang M Y, Zhu S F . An improved rapid method of plant total DNA extraction. Plant Quarant, 2004,18:330-332 (in Chinese with English abstract).
[27]	Li H H, Ribaut J M, Li Z H, Wang J K . Inclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations. Theor Appl Genet, 2008,116:243-260. doi: 10.1007/s00122-007-0663-5 pmid: 17985112
[28]	McCouch S R, Cho Y G, Yang M . Report on QTL nomenclature. Rice Genet Newsl, 1997,14:11-13.
[29]	王建康, 李慧慧, 张学才, 尹长斌, 黎裕, 马有志, 李新海, 邱丽鹃, 万建民 . 中国作物分子设计育种, 作物学报, 2011,37:191-201.
	Wang J K, Li H H, Zhang X C, Yin C B, Li Y, Ma Y Z, Li X H, Qiu L J, Wan J M . Molecular design breeding in crops in China. Acta Agron Sin, 2011,37:191-201 (in Chinese with English abstract).
[30]	张玲, 李晓楠, 王伟, 杨生龙, 李清, 王嘉宇 . 水稻株型相关性状的QTL分析. 作物学报, 2014,40:2128-2135.
	Zhang L, Li X N, Wang W, Yang S L, Li Q, Wang J Y . Analysis of QTLs for plant type traits in rice (Oryza sativa). Acta Agron Sin, 2014,40:2128-2135 (in Chinese with English abstract).
[31]	郭龙彪, 罗利军, 邢永忠, 徐才国, 王一平, 梅捍卫, 钟代彬, 应存山, 石春海 . 水稻汕优63重组自交系重要农艺性状的QTLs和互作分析. 农业生物技术学报, 2002,10:327-333.
	Guo L B, Luo L J, Xiong Y Z, Xu C G, Wang Y P, Mei H W, Zhong D B, Ying C S, Shi C H . QTL mapping and interaction analysis for the important agronomic traits of Shanyou 63 recombinant inbred lines in rice. J Agric Biotechnol, 2002,10:327-333 (in Chinese with English abstract).
[32]	陈国威, 刘荣家, 高冠军, 张庆路, 何予卿 . 水稻粒形和垩白的QTL分析. 分子植物育种, 2018,16:840-847.
	Chen G W, Liu R J, Gao G J, Zhang Q L, He Y Q . QTL analysis of grain shape and chalkiness of rice. Mol Plant Breed, 2018,16:840-847 (in Chinese with English abstract).
[33]	张光恒 . 稻谷粒型、稻米胚及延伸性性状遗传分析. 浙江大学硕士学位论文, 浙江杭州, 2002.
	Zhang G H . Genetics Analysis of Grain Shape, Embryo and Elongation in Rice (Oryza sativa L.). MS Thesis of Zhejiang University, Hangzhou, Zhejiang, China, 2002.
[34]	谭友斌 . 利用高世代回交群体分析水稻粒型QTLs. 华中农业大学硕士学位论文, 湖北武汉, 2006.
	Tan Y B . QTLs Analysis of Rice Grain Shape by Using Advanced Backcross Populations. MS Thesis of Huazhong Agricultural University, Wuhan, Hubei,China, 2006 (in Chinese with English abstract).
[35]	圣忠华, 朱子亮, 马宁, 李威, 贺记外, 魏详进, 邵高能, 王建龙, 胡培松, 唐绍清 . 超级稻品种中嘉早17产量相关性状QTL定位研究. 中国水稻科学, 2016,30:35-43.
	Sheng Z H, Zhu Z L, Ma N, Li W, He J W, Wei X J, Sao G N, Wang J L, Hu P S, Tang S Q . QTL mapping of yield related traits in super rice variety Zhongjiaozao 17. Chin J Rice Sci, 2016, 30:34-43 (in Chinese with English abstract).
[36]	刘进, 李清, 张宇, 任春元, 杨贤莉, 姚晓云, 王嘉宇 . 不同年份水稻粒形性状的QTL分析. 核农学报, 2014,28:2153-2158.
	Liu J, Li Q, Zhang Y, Ren C Y, Yan X L, Yao X Y, Wang J Y . Dissection of QTLs for grain shape traits in rice in different years. J Nucl Agric Sci, 2014,28:2153-2158 (in Chinese with English abstract).
[37]	刘忠良 . 粳稻粒型和粒重QTL定位研究. 东北农业大学硕士学位论文, 黑龙江哈尔滨, 2014.
	Liu Z L . Study on QTL Mapping for Grain Shape and Weight of Japonica Rice. MS Thesis of Northeast Agricultural University, Harbin, Heilongjiang,China, 2014 (in Chinese with English abstract).
[38]	徐建龙, 薛庆中, 罗利军, 黎志康 . 水稻粒重及其相关性状的遗传解析. 中国水稻科学, 2002,16:7-11.
	Xu J L, Xue Q Z, Luo L J, Li Z K . Genetic dissection of grain weight and its related traits in rice (Oryza sativa L.). Chin J Rice Sci, 2002,16:6-10 (in Chinese with English abstract).
[39]	高志强 . 水稻遗传图谱构建及粒形和粒重QTL定位. 中国农业科学院硕士学位论文, 北京, 2011.
	Gao Z Q . QTL Mapping for Rice Grain Shape and Grain Weight Based on Constructed Genetic Linkage Map. MS Thesis of Chinese Academy of Agricultural Sciences, Beijing,China, 2011 (in Chinese with English abstract).
[40]	李兴星, 郑剑, 周军杰, 秦小健, 南文斌, 杨永清, 张汉马, 李贤勇, 梁永书 . 粳稻资源‘热粳35’重要农艺性状的QTLs定位. 植物生理学报, 2016,52:1176-1190.
	Li X X, Zheng J, Zhou J J, Qin X J, Nan W B, Yang Y Q, Zhang H M, Li X Y, Liang Y S . Locating QTLs for important agronomic traits in japonica rice ‘Rejing 35’. Plant Physiol J, 2016,52:1176-1190 (in Chinese with English abstract).
[41]	谭震波, 沈利爽, 袁祚廉, 陆朝福, 陈英, 朱立煌, 周开达, 袁祚廉 . 水稻再生能力和头季稻产量性状的QTL定位及其遗传效应分析. 作物学报, 1997,23:289-295.
	Tan Z B, Shen L S, Yuan Z L, Lu C F, Chen Y, Zhou K D, Zhu L H . Identification of QTLs for rationing ability and grain yield traits of rice and analysis of their genetic effects. Acta Agron Sin, 1997,23:289-295 (in Chinese with English abstract).
[42]	Yu S B, Li J X, Xu C G, Tan Y F, Li X H, Zhang Q F . Identification of quantitative trait loci and epistatic interactions for plant height and heading date in rice. Theor Appl Genet, 2002,104:19-35. doi: 10.1007/s00122-001-0772-5 pmid: 12582666
[43]	Jiang G H, Xu C G, Li X H, He Y Q . Characterization of the main effects, epistatic effects and their environmental interactions of QTL on the genetic basis of plant height and heading date in rice. Agric Sci China, 2005,4:161-168.
[44]	Liang Y S, Zhan X D, Wang H M, Gao Z Q, Lin Z C, Chen D B, Shen X H, Cao L Y, Cheng S H . Locating QTLs controlling several adult root traits in an elite Chinese hybrid rice. Gene, 2013,526:331-335. doi: 10.1016/j.gene.2013.04.010 pmid: 23624393

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

Locating QTL controlling yield traits in overwintering cultivated rice

RichHTML346

PDF

Abstract

Cite this article

share this article

Figures/Tables 9

References 44

Related Articles 15

Metrics

Comments

Recommended 0

性状 Trait	Chr.	标记区间 Marker intervals	LOD值 LOD value	贡献率 R²(%)	LOD_OW1	LOD_OW2	LOD_OW3	Add_OW1	Add_OW2	Add_OW3
株高 PH	7	RM3859-RM20882	3.17	4.71	0.05	2.53	0.59	-1.48	8.27	4.56
穗长PL	1	RM493-RM7075	3.10	4.30	0.20	2.39	0.51	-0.28	-0.95	0.52
穗长PL	2	RM6611-RM6509	3.14	5.95	3.03	0.10	0.00	-1.40	-0.30	0.05
穗长PL	6	RM3827-RM3138	3.79	6.83	1.86	0.05	1.88	-0.99	0.17	-1.24
穗空粒数NEG	11	RM1341-RM206	3.40	7.73	0.12	1.26	2.03	5.48	-16.72	-29.72
结实率SSR	5	RM1366-RM289	3.42	5.97	3.27	0.15	0.00	21.44	-3.52	-0.33
结实率SSR	5	RM6229-RM18452	3.19	1.04	2.94	0.08	0.17	9.02	-1.54	2.36
穗粒密度GSD	8	RM7356-RM7631	4.02	5.84	1.91	0.80	1.30	-1.00	-0.94	-0.96
粒长GL	3	RM3545-RM6038	3.44	8.48	2.79	0.51	0.14	-0.20	-0.13	-0.04
粒长GL	3	RM6929-RM15281	3.35	8.53	2.78	0.36	0.20	-0.18	-0.10	0.04
粒宽GW	6	RM6818-RM20092	3.19	0.87	3.06	0.01	0.13	0.10	0.01	-0.22
粒厚GT	7	RM6776-RM418	3.33	5.31	2.12	0.75	0.47	0.03	-0.02	0.02
长宽比LWR	3	RM15281-RM1350	6.33	7.34	4.78	0.99	0.56	-0.19	-0.11	-0.08

[1]	Zheng Yu-Zhen, Qi Fei-Yan, Sun Zi-Qi, Liu Hua, Qin Li, Shi Lei, Wang Juan, Wang Meng-Meng, Han Suo-Yi, Xu Jing, Miao Li-Juan, Huang Bing-Yan, Dong Wen-Zhao, Zheng Zheng, Zhang Xin-You. QTL mapping of total very long-chain fatty acids and seven fatty acid components in peanut seeds [J]. Acta Agronomica Sinica, 2026, 52(6): 1646-1657.
[2]	Liu Chang-You, Wang Shen, Shi Hui-Ying, Shen Ying-Chao, Sun Lei, Wang Yan, Zhang Zhi-Xiao, Su Qiu-Zhu, Tian Jing, Fan Bao-Jie. QTL mapping for bruchid resistance in an adzuki bean distant hybridization population using rice bean genetic resources [J]. Acta Agronomica Sinica, 2026, 52(3): 936-944.
[3]	Zhao Xiang, Li Jia-Yi, Li Shuang, Han Wen-Hui, Huang Jun-Xia, Yao Xing-Dong, Zhang Hui-Jun, Wang Hai-Ying, Xie Fu-Ti. Effects of high temperature on dry matter accumulation and sugar metabolism in different soybean varieties [J]. Acta Agronomica Sinica, 2026, 52(3): 857-865.
[4]	YANG Hai-Yang, WU Lin-Xuan, LI Bo-Wen, SHI Han-Feng, YUAN Xi-Long, LIU Jin-Zhao, CAI Hai-Rong, CHEN Shi-Yi, GUO Tao, WANG Hui. OsWRI3, identified based on QTL mapping, regulates seed shattering in rice [J]. Acta Agronomica Sinica, 2025, 51(7): 1712-1724.
[5]	HU Meng, SHA Dan, ZHANG Sheng-Rui, GU Yong-Zhe, ZHANG Shi-Bi, LI Jing, SUN Jun-Ming, QIU Li-Juan, LI Bin. QTL mapping and candidate gene screening for branch number in soybean [J]. Acta Agronomica Sinica, 2025, 51(7): 1747-1756.
[6]	SHAO Shun-Wei, CHEN Zhuo, LAN Zhen-Dong, CAI Xing-Kui, ZOU Hua-Fen, LI Chen-Xi, TANG Jing-Hua, ZHU Xi, ZHANG Yu, DONG Jian-Ke, JIN Hui, SONG Bo-Tao. QTL mapping of tuber eye depth based on BSA-seq technique [J]. Acta Agronomica Sinica, 2025, 51(7): 1725-1735.
[7]	ZHANG Jin-Ze, ZHOU Qing-Guo, XIAO Li-Jing, JIN Hai-Run, OU-YANG Qing-Jing, LONG Xu, YAN Zhong-Bin, TIAN En-Tang. QTL mapping and candidate gene analysis of glucosinolate content in various tissues of Brassica juncea [J]. Acta Agronomica Sinica, 2025, 51(5): 1166-1177.
[8]	YONG Rui, HU Wen-Jing, WU Di, WANG Zun-Jie, LI Dong-Sheng, ZHAO Die, YOU Jun-Chao, XIAO Yong-Gui, WANG Chun-Ping. Identification and validation of quantitative trait loci for grain number per spike showing pleiotropic effect on thousand grain weight in bread wheat (Triticum aestivum L.) [J]. Acta Agronomica Sinica, 2025, 51(2): 312-323.
[9]	GUO Shu-Hui, PAN Zhuan-Xia, ZHAO Zhan-Sheng, YANG Liu-Liu, HUANG-FU Zhang-Long, GUO Bao-Sheng, HU Xiao-Li, LU Ya-Dan, DING Xiao, WU Cui-Cui, LAN Gang, LYU Bei-Bei, TAN Feng-Ping, LI Peng-Bo. Genetic analysis of a major fiber length locus on chromosome D11 of upland cotton [J]. Acta Agronomica Sinica, 2025, 51(2): 383-394.
[10]	WANG Zhe, HU Yan-Ling, GONG Fang-Yi, YI Rui, ZHAO Shu-Hong, LIU Rui-Qin, LIU Yu-Hang, ZHANG Tian, ZHANG Ya-Zhou, ZHENG You-Liang, LIU Deng-Cai, HUANG Lin, WU Bi-Hua. QTL mapping of grain protein content in the introgression line BAd7-209 derived from wild emmer [J]. Acta Agronomica Sinica, 2025, 51(12): 3238-3250.
[11]	ZHANG Han, YU Jin-Jin, TAN Lin-Lu, ZHANG Jing-Quan, WANG Xiao-Dong, XIE Zhuang, XIE Ke-Ying, LING Ying-Hua, ZHAO Fang-Ming. Genetic dissection and breeding application of rice yield-related QTL using single and dual segment substitution lines derived from CSSL-Z267 [J]. Acta Agronomica Sinica, 2025, 51(12): 3157-3170.
[12]	XU Xiao-Wei, FENG Jing, WANG Feng-Tao, TONG Zhao-Yang, ZHANG Jian-Zhou, LI Chun-Ying, LIN Rui-Ming. QTL mapping of adult plant resistance to stripe rust in the Chinese wheat landrace Canlaomai [J]. Acta Agronomica Sinica, 2025, 51(11): 2933-2943.
[13]	YANG Jing-Fa, YU Xin-Lian, YAO You-Hua, YAO Xiao-Hua, WANG Lei, WU Kun-Lun, LI Xin. QTL mapping of tiller angle in qingke (Hordeum vulgare L.) [J]. Acta Agronomica Sinica, 2025, 51(1): 260-272.
[14]	HAN Li, TANG Sheng-Sheng, LI Jia, HU Hai-Bin, LIU Long-Long, WU Bin. Construction of SNP high-density genetic map and localization of QTL for β-glucan content in oats [J]. Acta Agronomica Sinica, 2024, 50(7): 1710-1718.
[15]	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.