水稻黄华占背景选择导入系的耐低氮筛选评价与利用

doi:10.3724/SP.J.1006.2024.42002

Abstract

Abstract:

Nitrogen deficiency in medium-yield and low-yield fields is an important factor restricting the high yield in rice. It is one of effective ways to solve the problem by screening and developing rice variety with low nitrogen tolerance (LNT). In this study, the selected introgression lines (SILs) from germplasms in Huanghuazhan (HHZ) background were used to evaluate the performance of yield and its related traits under low and normal nitrogen conditions for successive three seasons. Low nitrogen had least effect on heading date, seed fertility, and 1000-grain weight (TGW) with the average low nitrogen tolerance index (LNTI) around 1.0, whereas had greatest effect on grain yield per plant (GYP) and panicle number per plant (PN) with the respective average LNTI of 0.45 and 0.62, indicating that GYP and PN were useful indicator of LNT. Based on LNTI of GYP, nine LNT lines were selected with LNTI ranging from 0.87 to 1.04. Five of the selected LNT lines verified by multiple-site trials, one line (M281) had low LNT with GYP-LNTI of 0.66 and the other four had high LNT with the average GYP-LNTI of 0.94, indicating that LNT was a characteristic with the differences at individual and population levels, thus emphasizing the importance of population verification for LNT materials which were screened from segregation population. Among the four LNT lines, M85 was mainly achieved by higher PN and TGW under low nitrogen condition, whereas the other three lines (M382, M563, and M79) were mainly supported by more filled grains per panicle (FGP) and higher TGW. Therefore, an important way was proposed to achieve high yield under low nitrogen condition through increasing FGP based on a relatively high PN. In view of salt tolerance at seedling stage, drought tolerance at reproductive stage and LNT at all growth duration of SILs, it was discussed how to simultaneously improve multiple complex abiotic stress tolerances using SILs derived from diverse donors by molecular design.

Key words: rice, selected introgression line, low nitrogen tolerance, low nitrogen tolerance index, stress tolerance improvement

SHAO Mei-Hong, ZHAO Ling-Ling, CHENG Chu, CHENG Si-Ming, ZHU Shuang-Bing, ZHAI Lai-Yuan, CHEN Kai, XU Jian-Long. Screening, evaluation, and utilization of low nitrogen tolerance for the selected introgression lines in rice with Huanghuazhan background[J].Acta Agronomica Sinica, 2024, 50(8): 1907-1919.

Figures/Tables 8

Table 1

Table 2

Table 3

Table 4

Performance of yield and its related traits for 591 SILs in HHZ background in different seasons and nitrogen fertilizer addressing"

处理 Treatment	性状 Trait	2013早季 Early season in 2013			2013晚季 Late season in 2013			2014早季 Early season in 2014
处理 Treatment	性状 Trait	平均数± 标准差 Mean ± SD	变幅 Range	变异系数 CV (%)	平均数± 标准差 Mean ± SD	变幅 Range	变异系数 CV (%)	平均数± 标准差 Mean ± SD	变幅 Range	变异系数 CV (%)
对照	单株有效穗数 PN	5.3±0.71	3.3-8.4	13.46	6.2±1.06	3.2-10.7	17.05	6.8±1.16	4.5-12.6	17.07
CK	抽穗期 HD (d)	104.4±3.64	95.5-117.0	3.49	85.6±0.05	79.5-102.0	4.71	96.8±4.28	90.0-114.0	4.42
	株高 PH (cm)	113.3±6.34	99.8-146.5	5.60	86.1±0.07	71.5-110.8	7.20	110.6±7.33	95.5-143.6	6.62
	千粒重 TGW (g)	24.7±1.61	19.1-29.9	6.53	21.3±1.65	16.9-26.7	7.73	23.3±1.53	19.8-28.6	6.59
	每穗实粒数 FGP	176.7±25.95	38.9-251.4	14.69	151.7±24.46	81.0-231.8	16.12	150.4±23.95	67.5-224.4	15.92
	每穗总粒数 SNP	200.4±23.98	135.0-278.4	11.97	168.3±25.66	87.5-259.3	15.25	179.8±24.96	116.3-267.0	13.88
	结实率 SF (%)	88.0±0.07	57.0-96.5	7.45	90.2±0.05	62.9-97.9	5.51	83.6±0.07	52.2-95.8	8.54
	单株产量 GYP (g)	21.58±3.72	9.92-34.74	17.23	17.69±3.00	9.30-28.87	16.98	19.92±4.15	9.06-35.80	20.85
低氮 LN	单株有效穗数 PN	3.2±0.44	1.9-5.3	13.88	2.9±0.51	1.8-6.7	17.65	5.2±0.94	2.9-9.3	18.12
	抽穗期 HD (d)	105.3±3.52	95.0-123.0	3.34	83.2±3.99	72.5-96.5	4.80	96.6±4.30	75.0-113.0	4.46
	株高 PH (cm)	89.8±5.15	72.4-118.1	5.73	77.1±5.03	59.7-97.2	6.53	90.4±5.90	76.3-119.0	6.53
	千粒重 TGW (g)	22.9±1.66	14.1-29.6	7.23	20.4±1.61	16.4-26.6	7.91	22.0±1.54	18.5-28.8	7.00
	每穗实粒数 FGP	151.1±22.82	92.2-220.6	15.10	125.3±22.10	60.5-190.3	17.64	130.1±22.40	62.4-211.9	17.21
	每穗总粒数 SNP	168.5±24.50	105.8-249.8	14.54	138.5±23.31	63.5-205.0	16.82	152.9±24.52	88.9-246.6	16.04
	结实率 SF (%)	89.7±0.05	50.0-98.0	5.83	90.4±0.05	71.1-98.10	4.98	85.2±0.07	48.9-95.4	7.77
	单株产量 GYP (g)	10.32±2.01	6.14-17.41	19.44	6.27±1.39	3.33-11.89	22.23	9.45±2.23	4.74-23.18	23.62
耐低氮指数 LNTI	单株有效穗数 PN	0.60±0.11	0.34-1.14	18.55	0.48±0.11	0.23-1.08	23.60	0.77±0.11	0.43-1.22	13.81
	抽穗期 HD	1.01±0.03	0.89-1.14	2.55	0.97±0.03	0.87-1.07	3.56	1.00±0.05	0.77-1.16	5.07
	株高 PH	0.79±0.04	0.67-0.93	4.94	0.90±0.05	0.70-1.09	5.91	0.82±0.04	0.66-0.96	4.72
	千粒重 TGW	0.93±0.05	0.51-1.20	5.83	0.96±0.06	0.76-1.20	5.91	0.95±0.05	0.80-1.12	5.03
	每穗实粒数 FGP	0.87±0.17	0.56-2.75	19.68	0.84±0.19	0.40-1.53	22.10	0.88±0.18	0.42-1.77	20.22
	每穗总粒数 SNP	0.85±0.13	0.58-1.57	15.56	0.84±0.18	0.44-1.54	21.03	0.86±0.15	0.54-1.79	17.48
	结实率 SF	1.02±0.11	0.59-2.96	10.56	1.00±0.06	0.79-1.34	6.23	1.02±0.09	0.73-1.45	8.53
	单株产量 GYP	0.49±0.13	0.24-1.04	25.93	0.36±0.10	0.16-0.87	27.86	0.49±0.15	0.20-1.28	30.53

Table 4

Fig. S1

Fig. 1

Table 5

Low nitrogen tolerance lines screened based on grain yield per plant"

季节 Season	株系号 Line	供体 Donor	处理 Treatment	抽穗期 HD (d)	株高 PH (cm)	单株有效穗 PN	千粒重 TGW (g)	每穗实粒数 FGP	每穗总粒数 SNP	结实率 SF (%)	单株产量 GYP (g)
2013 早季 2013 Early season	M85	OM723	正常 CK	112.5	117.5	3.7	24.2	151.4	211.0	71.8	11.79
			低氮 LN	116.5	101.9	3.9	24.1	121.1	191.5	63.2	11.60
			耐低氮指数 LNTI	1.04	0.87	1.07^a	0.99	0.80	0.91	0.88	0.98
	M336	Teqing	正常 CK	102.5	114.8	4.3	21.5	131.3	152.5	86.0	15.25
			低氮 LN	103.0	93.0	3.5	22.0	119.0	131.3	90.6	13.90
			耐低氮指数 LNTI	1.00	0.81	0.81	1.03	0.91	0.86	1.05	0.91
	M382	Teqing	正常 CK	103.0	116.4	4.8	22.7	164.7	211.2	78.0	14.70
			低氮 LN	103.0	97.1	4.1	21.9	185.7	213.1	87.1	15.32
			耐低氮指数 LNTI	1.00	0.83	0.84	0.97	1.13	1.01	1.12	1.04
	M563	PSBRc28	正常 CK	101.5	108.9	5.4	24.6	178.1	203.0	0.88	16.32
			低氮 LN	105.5	89.4	3.9	23.7	175.8	207.5	0.85	16.67
			耐低氮指数 LNTI	1.04	0.82	0.72	0.96	0.99	1.02	1.06	1.02
2014 早季 2014 Early season	M17	OM1723	正常 CK	103.5	133.4	6.1	28.0	147.3	166.5	88.2	21.68
			低氮 LN	103.0	105.6	5.4	25.3	150.6	169.3	88.9	18.75
			耐低氮指数 LNTI	1.00	0.79	0.88	0.90	1.02	1.02	1.01	0.87
	M79	OM1723	正常 CK	105.0	130.0	6.5	25.6	132.4	152.8	86.5	16.35
			低氮 LN	107.0	97.3	4.6	23.9	141.5	169.9	82.8	15.34
			耐低氮指数 LNTI	1.02	0.75	0.71	0.93	1.07	1.11	0.96	0.94
	M98	Phalguna	正常 CK	94.0	104.1	5.5	22.3	160.0	186.1	85.7	15.04
			低氮 LN	94.0	86.6	4.5	22.2	137.5	151.8	90.5	13.73
			耐低氮指数 LNTI	1.00	0.83	0.82	0.99	0.86	0.82	1.06	0.91
	M281	IR64	正常 CK	107.5	120.8	6.3	23.0	133.8	166.1	0.81	13.24
			低氮 LN	102.0	101.6	5.3	22.6	139.5	177.9	0.78	12.83
			耐低氮指数 LNTI	0.95	0.84	0.84	0.98	1.04	1.07	0.97	0.97
	M414	PSBRc66	正常 CK	90.0	105.1	5.3	21.2	163.6	188.0	87.1	17.49
			低氮 LN	101.0	90.0	4.8	18.8	161.8	194.4	83.5	15.78
			耐低氮指数 LNTI	1.12	0.86	0.90	0.89	0.99	1.03	0.96	0.90

Table 5

Table 6

Performance of low nitrogen tolerance lines in multiple trials"

试点 Site	品系 Line	处理 Treatment	抽穗期 HD (d)	株高 PH (cm)		有效穗数 PN (×10⁴ hm^-2)		千粒重 TGW (g)	穗实粒数 FGP		结实率 SF (%)		实收产量 Yield harvested (t hm^-2)
大同镇 Datong town	M85	正常 CK	108.4	114.6		16.5		20.9	166.7		77.0		6.35
		低氮 LN	108.0	102.5		15.3		21.7	141.9		82.9		5.73
		耐低氮指数 LNTI	1.00	0.89		0.93^a		1.04	0.85		1.08		0.90
	M382	正常 CK	102.4	107.7		14.9		23.1	160.4		86.3		6.49
		低氮 LN	107.0	90.1		11.3		22.2	149.4		90.2		5.90
		耐低氮指数 LNTI	1.04	0.84		0.76		0.96	0.93		1.05		0.91
	M563	正常 CK	108.9	134.7		14.9		23.7	181.9		85.6		6.35
		低氮 LN	108.5	109.3		13.0		23.5	167.9		85.6		6.12
		耐低氮指数 LNTI	1.00	0.81		0.87		0.99	0.92		1.00		0.96
	M79	正常 CK	100.8	106.2		16.0		22.4	142.2		86.4		6.49
		低氮 LN	93.0	89.7		13.3		22.5	136.9		88.6		6.27
		耐低氮指数 LNTI	0.92	0.84		0.83		1.00	0.96		1.03		0.97
	M281	正常 CK	84.3	119.0		15.5		22.33	139.8		83.0		6.42
		低氮 LN	67.4	100.6		12.7		21.7	130.7		84.6		4.17
		耐低氮指数 LNTI	0.79	0.85		0.82		0.97	0.93		1.02		0.65
	黄华占(CK)	正常 CK	82.9	106.8		15.2		21.3	155.9		89.4		7.05
	Huanghuazhan (CK)	低氮 LN	69.1	84.8		10.0		18.7	112.4		82.3		3.28
		耐低氮指数 LNTI	0.83	0.79		0.66		0.88	0.72		0.92		0.46
大慈岩镇 Daciyan town	M85	正常 CK	107.1	113.9		16.0		21.0	159.8		77.0		5.90
		低氮 LN	107.8	102.0		14.9		22.0	137.3		83.1		4.99
		耐低氮指数 LNTI	1.01	0.90		0.93		1.05	0.86		1.08		0.85
	M382	正常 CK	102.2	106.5		14.9		21.2	158.3		86.1		6.10
		低氮 LN	107.4	89.4		12.1		22.2	146.1		90.0		5.80
		耐低氮指数 LNTI	1.05	0.84		0.81		1.05	0.92		1.05		0.95
	M563	正常 CK	107.3	130.8		15.8		23.8	175.2		85.5		425.4
		低氮 LN	106.9	108.0		13.1		23.5	157.0		85.5		416.6
		耐低氮指数 LNTI	1.00	0.83		0.83		0.99	0.90		1.00		0.98
	M79	正常 CK	99.8	104.0		16.0		22.5	139.3		86.8		416.2
		低氮 LN	92.4	88.4		13.5		22.2	128.5		88.3		405.9
		耐低氮指数 LNTI	0.93	0.85		0.84		0.99	0.92		1.02		0.98
	M281	正常 CK	83.0	103.4		15.1		21.2	153.3		89.1		462.4
		低氮 LN	67.2	84.0		10.4		18.4	135.1		83.0		332.9
		耐低氮指数 LNTI	0.81	0.81		0.69		0.87	0.88		0.93		0.72
	黄华占(CK)	正常 CK	83.0	103.4		15.1		21.2	153.3		89.1		462.4
	Huanghuazhan (CK)	低氮 LN	67.2	84.0		10.4		18.4	115.1		83		214.8
		耐低氮指数 LNTI	0.81	0.81		0.69		0.87	0.75		0.93		0.46
航头镇 Hangtou town	M85	正常 CK	106.7	111.9		16.1		21.0	158.9		76.9		375.2
		低氮 LN	107.3	100.7		15.2		22.0	130.2		82.2		321.2
		耐低氮指数 LNTI	1.01	0.90		0.94		1.05	0.82		1.07		0.86
	M382	正常 CK	102.3	105.4		14.8		21.2	154.7		85.0		397.3
		低氮 LN	106.3	90.7		12.5		22.5	142.4		90.4		362.6
航头镇 Hangtou Town	M382	耐低氮指数 LNTI	1.04		0.86		0.84	1.06		0.92		1.06		0.91
	M563	正常 CK	106.9		129.4		14.3	23.8		174.7		86.1		432.6
		低氮 LN	105.0		107.3		11.3	23.5		164.1		85.3		423.7
		耐低氮指数 LNTI	0.98		0.83		0.79	0.99		0.94		0.99		0.98
	M79	正常 CK	100.6		104.0		15.6	22.8		142.1		87.1		423.7
		低氮 LN	93.2		89.8		12.6	21.9		140.1		88.1		413.3
		耐低氮指数 LNTI	0.93		0.86		0.81	0.96		0.99		1.01		0.98
	M281	正常 CK	83.5		103.1		15.5	21.3		147.7		86.0		440.7
		低氮 LN	67.2		83.4		10.8	18.7		133.1		82.8		264.4
		耐低氮指数 LNTI	0.80		0.81		0.70	0.88		0.90		0.96		0.60
	黄华占	正常 CK	83.5		103.1		15.5	21.3		147.7		86.0		440.7
	Huanghuazhan (CK)	低氮 LN	67.2		83.4		10.8	18.7		113.1		82.8		207.2
		耐低氮指数 LNTI	0.80		0.81		0.70	0.88		0.77		0.96		0.47

Table 6

References 35

[1]	Xu C C, Ji L, Chen Z D, Fang F P. Analysis of China’s rice industry in 2022 and the outlook for 2023. China Rice, 2023, 29: 1-4. doi: 10.3969/j.issn.1006-8082.2023.02.001
[2]	张启发主编. 资源节约型、环境友好型农业生产体系的理论与实践. 科学出版社, 2015. pp 1-10.
	Zhang Q F. Theory and Practice of Resource-saving and Environment-friendly Agricultural Production System. Beijing: Science Press, 2015. pp 1-10.
[3]	Peng S B, Buresh R J, Huang J L, Yang J L, Zou Y B, Zhong X H, Wang G H, Zhang F S. Strategies for overcoming low agronomic nitrogen use efficiency in irrigated rice systems in China. Field Crops Res, 2006, 96: 37-47.
[4]	Guo J H, Liu X J, Zhang Y, Shen J L, Han W X, Zhang W F, Christie P, Goulding K W T, Vitousek P M, Zhang F S. Significant acidification in major Chinese croplands. Science, 2010, 327: 1008-1010. doi: 10.1126/science.1182570 pmid: 20150447
[5]	Luo L G, Itoh S, Zhang Q W, Yang S Q, Zhang Q Z, Yang Z L. Leaching behavior of nitrogen in a long-term experiment on rice under different N management systems. Environ Monitor Assessment, 2011, 177: 141-150.
[6]	Zhao C, Liu G M, Chen Y, Jiang Y, Shi Y, Zhao L T, Liao P Q, Wang W L, Xu K, Dai Q G, Huo Z Y. Excessive nitrogen application leads to lower rice yield and grain quality by inhibiting the grain filling of inferior grains. Agriculture, 2022, 12: 962.
[7]	杨秀娟, 甘林, 阮宏椿, 杜宜新, 李科, 孙福如. 氮肥对水稻苗 POD、SOD 活性及稻瘟病发生的影响. 福建农林大学学报(自然科学版), 2011, 40: 8-12.
	Yang X J, Gan L, Ruan H C, Du Y X, Li K, Sun F R. Influence of nitrogen on the activities of POD and SOD in rice seedlings and the incidence of rice blast disease. J Fujian Agric For Univ (Nat Sci Edn), 2011, 40: 8-12 (in Chinese with English abstract).
[8]	皮楚舒, 章桃娟, 周建光, 朱凤华, 杨诚, 陈杰峰. 氮肥不同用量对早稻产量和纹枯病发生的影响. 现代农业科技, 2021, (3) : 23-24.
	Pi C S, Zhang T J, Zhou J G, Zhu F H, Yang C, Chen J F. Effect of different quantities of nitrogen fertilizer on yield and sheath blight of early season rice. Mod Agric Tech, 2021, (3): 23-24 (in Chinese).
[9]	Zhang Q. Strategies for developing green super rice. Proc Natl Acad Sci USA, 2007, 104: 16402-16409. doi: 10.1073/pnas.0708013104 pmid: 17923667
[10]	石全红, 王宏, 陈阜, 褚庆全. 中国中低产田时空分布特征及增产潜力分析. 中国农学通报, 2010, 26(19): 369-373.
	Shi Q H, Wang H, Chen F, Chu Q Q. The spatial-temporal distribution characteristics and yield potential of medium-low yielded farmland in China. Chin Agric Sci Bull, 2010, 26(19): 369-373 (in Chinese with English abstract). doi: 10.11924/j.issn.1000-6850.2010-1435
[11]	Tanksley S D, McCouch S R. Seed banks and molecular maps: unlocking genetic potential from the wild. Science, 1997, 277: 1063-1066. doi: 10.1126/science.277.5329.1063 pmid: 9262467
[12]	Duvick D N. Genetic contributions to yield gains of U.S. hybrid maize, 1930 to 1980. In:Fehr W R, ed. Genetic Contributions to Yield Gains of Five Major Crop Plants. CSSA Special Publication No. 7. Madison, WI, USA: Crop Science Society of America and American Society of Agronomy, 1984. pp 15-47.
[13]	Duvick D N. Theory, empiricism and intuition in professional plant breeding. In:Cleveland D A, Soleri D, eds. Farmers, Scientists and Plant Breeding: Integrating Knowledge and Practice. Wallingford UK: CABI Publishing, 2002. pp 189-211.
[14]	荘洁, 张宗琼, 农保选, 杨行海, 蒋显斌, 李丹婷, 夏秀忠. 广西普通野生稻渗入系耐低氮和氮素利用率的鉴定评价. 热带作物学报, 2022, 43: 2071-2079. doi: 10.3969/j.issn.1000-2561.2022.10.013
	Zhuang J, Zhang Z Q, Nong B X, Yang X H, Jiang X B, Li D T, Xia X Z. Identification and evaluation of nitrogen-deficiency tolerance and nitrogen-use efficiency for introgression lines of wild rice (Oryza rufipogon Griff.) in Guangxi. Chin J Trop Crops, 2022, 43: 2071-2079 (in Chinese with English abstract).
[15]	吴婷, 李霞, 黄得润, 黄凤林, 肖宇龙, 胡标林. 应用东乡野生稻回交重组自交系分析水稻耐低氮产量相关性状QTL. 中国水稻科学, 2020, 34: 499-511. doi: 10.16819/j.1001-7216.2020.0408
	Wu T, Li X, Huang D R, Huang F L, Xiao Y L, Hu B L. QTL Analysis for yield traits related to low nitrogen tolerance using backcrossing recombinant inbred lines derived from Dongxiang wild rice (Oryza rufipogon Griff.). Chin J Rice Sci, 2020, 34: 499-511 (in Chinese with English abstract).
[16]	孟丽君, 马秀芳, 唐志强, 沈枫, 崔彦茹, 柴路, 陈凯, 徐建龙, 黎志康. 粳稻超优1号背景回交导入系的耐热性筛选与评价. 作物学报, 2012, 38: 1949-1959. doi: 10.3724/SP.J.1006.2012.01949
	Meng L J, Ma X F, Tang Z Q, Shen F, Cui Y R, Chai L, Chen K, Xu J L, Li Z K. Screening and evaluation of heat tolerance of introgression lines with japonica Chaoyou 1 background. Acta Agron Sin, 2012, 38: 1949-1959 (in Chinese with English abstract). doi: 10.3724/SP.J.1006.2012.01949
[17]	Ali A J, Xu J L, Ismail A M, Fu B Y, Vijaykumar C H M, Gao Y M, Domingo J, Maghirang R, Yu S B, Gregorio G, Yanaghihara S, Cohen M, Carmen B, Mackill D, Li Z K. Hidden diversity for abiotic and biotic stress tolerances in the primary gene pool of rice revealed by a large backcross breeding program. Field Crops Res, 2006, 97: 66-76.
[18]	Wang Y, Zhang L B, Nafisah A, Zhu L H, Xu J L, Li Z K. Selection efficiencies for improving drought/salt tolerances and yield using introgression breeding in rice (Oryza sativa L.). Crop J, 2013, 1: 134-142.
[19]	Ali J, Xu J L, Gao Y M, Ma X F, Meng L J, Wang Y, Pang Y L, Guan Y S, Xu M R, Revilleza J E, Franje N J, Zhou S C, Li Z K. Harnessing the hidden genetic diversity for improving multiple abiotic stress tolerance in rice (Oryza sativa L.). PLoS One, 2017, 12: e0172515.
[20]	Gentleman R, Ihaka R. R: a language and environment for statistical computing. Computing, 2011, 1: 12-21.
[21]	Huang X H, Wei X H, Sang T, Zhao Q, Feng Q, Zhao Y, Li C Y, Zhu C R, Lu T T, Zhang Z W, Li M, Fan D L, Guo Y L, Wang A H Wang L, Deng L W, Li W J, Lu Y Q, Weng Q J, Liu K Y, Huang T, Zhou T Y, Jing Y F, Li W, Lin Z, Buckler E S, Qian Q, Zhang Q F, Li J Y, Han B. Genome-wide association studies of 14 agronomic traits in rice landraces. Nat Genet, 2010, 42: 961-967. doi: 10.1038/ng.695 pmid: 20972439
[22]	Jing L, Yan L, Xiao P, Sun M, Corke H, Bao J S. Genetic diversity and population structure of a diverse set of rice germplasm for association mapping. Theor Appl Genet, 2010, 121: 475-487. doi: 10.1007/s00122-010-1324-7 pmid: 20364375
[23]	曹桂兰, 张媛媛, 朴钟泽, 韩龙植. 水稻不同基因型耐低氮能力差异评价. 植物遗传资源学报, 2006, 7: 316-320.
	Cao G L, Zhang Y Y, Piao Z Z, Han L Z. Evaluation of tolerance to low N-fertilized level for rice type. J Plant Genet Resour, 2006, 7: 316-321 (in Chinese with English abstract).
[24]	朴钟泽, 韩龙植, 高熙宗. 水稻不同基因型氮素利用效率差异. 中国水稻科学, 2003, 17: 233-238.
	Piao Z Z, Han L Z, Koh H J. Variations of nitrogen use efficiency by rice genotype. Chin J Rice Sci, 2003, 17: 233-238 (in Chinese with English abstract).
[25]	江立庚, 戴廷波, 韦善清, 甘秀芹, 徐建立, 曹卫星. 南方水稻氮素吸收与利用效率的基因型差异评价. 植物生态学报, 2003, 27: 466-471. doi: 10.17521/cjpe.2003.0067
	Jiang L G, Dai T B, Wei S Q, Gan X Q, Xu J L, Cao W X. Genotypic differences and valuation in nitrogen uptake and utilization efficiency in rice. Acta Phytoecol Sin, 2003, 27: 466-471 (in Chinese with English abstract).
[26]	Samonte S O P B, Wilson L T, Medley J C, Pinson S R M, McClung A M, Lales J S. Nitrogen utilization efficiency: relationship with grain yield, grain protein, and yield-related traits in rice. Agron J, 2006, 98: 168-176.
[27]	魏海燕, 张洪程, 马群, 戴其根, 霍中洋, 许轲, 张庆, 黄丽芬. 不同氮肥吸收利用效率水稻基因型叶片衰老特性. 作物学报, 2010, 36: 645-654. doi: 10.3724/SP.J.1006.2010.00645
	Wei H Y, Zhang H C, Ma Q, Dai Q G, Huo Z Y, Xu K, Zhang Q, Huang L F. Characteristics of leaf senescence in rice genotypes with different nitrogen use efficiencies. Acta Agron Sin, 2010, 36: 645-654 (in Chinese with English abstract).
[28]	朴钟泽, 韩龙植, 高熙宗, 陆家安, 张建明. 水稻氮素利用效率的选择效果. 作物学报, 2004, 30: 651-656.
	Piao Z Z, Han L L, Koh H J, Lu J A, Zhang J M. Selection effect of nitrogen use efficiency in rice. Acta Agron Sin, 2004, 30: 651-656 (in Chinese with English abstract).
[29]	张亚丽, 樊剑波, 段英华, 王东升, 叶利庭, 沈其荣. 不同基因型水稻氮利用效率的差异及评价. 土壤学报, 2008, 45: 267-273.
	Zhang Y L, Fan J B, Duan Y H, Wang D S, Ye L T, Shen Q R. Variation of nitrogen use efficiency of rice different in genotype and its evaluation. Acta Pedol Sin, 2008, 45: 267-273 (in Chinese with English abstract).
[30]	童汉华, 余新桥, 梅捍卫, 曹一平, 章善庆, 罗利军. 水稻苗期氮素营养高效基因型的筛选. 浙江农业科学, 2007, 48: 537-541.
	Tong H H, Yu X Q, Mei H W, Cao Y P, Zhang S Q, Luo L J. An effective method to identify high nitrogen use efficiency (NUE) genotype at seedling stage in rice. J Zhejiang Agric Sci, 2007, 48: 537-541 (in Chinese with English abstract).
[31]	郑家奎, 文春阳, 张涛, 杨莉, 杨乾华, 郑建敏, 杨松涛, 唐江云, 田翠. 耐低氮水稻材料筛选及筛选指标研究. 安徽农业科学, 2009, 37: 7361-7363.
	Zheng J K, Wen C Y, Zhang T, Yang L, Yang Q H, Zheng J M, Yang S T, Tang J Y, Tian C. Studies on the screening index for low nitrogen tolerant rice and its selection. J Anhui Agric Sci, 2009, 37: 7361-7363 (in Chinese with English abstract).
[32]	Park H, Mok S K, Seok S J. Efficiency of soil and fertilizer nitrogen in relation to rice variety and application time, using ¹⁵N labeled fertilizer: V. ¹⁵N point application in fields. J Korean Agric Chem, 1982, 25: 30-34.
[33]	黎毛毛, 万建林, 黄永兰, 曹桂兰, 陈红萍, 韩龙植. 水稻微核心种质氮素利用率相关性状的鉴定评价及其相关分析. 植物遗传资源学报, 2011, 12: 352-361. doi: 10.13430/j.cnki.jpgr.2011.03.004
	Li M M, Wan J L, Huang Y L, Cao G K, Chen H P, Han L Z. Evaluation and correlation analysis of the characters rated to nitrogen use efficiency for mini core collection of rice (Oryza sativa L.) in China. J Plant Genet Resour, 2011, 12: 352-361 (in Chinese with English abstract).
[34]	钟思荣, 龚丝雨, 张世川, 陈仁霄, 刘齐元, 翟小清. 作物不同基因型耐低氮性和氮效率研究进展. 核农学报 2018, 32: 1656-1663. doi: 10.11869/j.issn.100-8551.2018.08.1656
	Zhong S R, Gong S Y, Zhang S C, Chen R X, Liu Q Y, Zhai X Q. Research progress on low nitrogen tolerance and nitrogen efficiency in crop plants. J Nucl Agric Sci, 2018, 32: 1656-1663 (in Chinese with English abstract). doi: 10.11869/j.issn.100-8551.2018.08.1656
[35]	周德贵, 李宏, 卢德城, 黄道强, 赖穗春, 王志东, 周少川. 水稻氮磷高效利用育种材料的发掘研究. 分子植物育种, 2010, 8: 1196-1201.
	Zhou D G, Li H, Lu D C, Huang D Q, Lai S C, Wang Z D, Zhou S C. The exploration and establishment of rice breeding materials of high phosphorus use efficiency and nitrogen use efficiency. Mol Plant Breed, 2010, 8: 1196-1201 (in Chinese with English abstract).

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

群体编号 Population ID	供体亲本 Donor parent	籼粳属性 Indica/japonica	来源 Source	导入系数 Number of ILs
HHZ5	OM1723	籼 Indica	越南 Vietnam	97
HHZ8	Phalguna	籼 Indica	印度 India	74
HHZ9	IR50	籼 Indica	菲律宾 Philippines	73
HHZ11	IR64	籼 Indica	菲律宾 Philippines	68
HHZ12	Teqing	籼 Indica	中国 China	84
HHZ15	PSBRc66	籼 Indica	菲律宾 Philippines	54
HHZ17	CDR22	籼 Indica	印度 India	74
HHZ19	PSBRc28	籼 Indica	菲律宾 Philippines	67

变异来源 Source	抽穗期 HD	株高 PH	有效穗数 PN	千粒重 TGW	每穗实粒数 FGP	每穗总粒数 SNP	结实率 SF	单株产量 GYP
基因型 Genotype (G)	4.11^***	12.69^***	1.04	11.93^***	2.85^***	3.46^***	4.69^***	1.53^***
环境 Environment (E)	12,656.68^***	20,694.99^***	146.96^***	4189.74^***	283.02^***	739.79^***	492.34^***	961.01^***
处理 Treatment (T)	17.48^***	19,288.91^***	3129.51^***	1378.64^***	994.48^***	1496.87^***	51.11^***	12,048.01^***
基因型×环境G × E	0.65	1.03	0.56	1.58^***	1.33^***	1.06.	2.43^***	1.03
基因型×处理G × T	0.50	1.39^***	0.39	1.01	1.14^*	1.23^***	1.11	1.18
环境×处理E × T	87.65^***	2311.09^***	261.41^***	66.72^***	4.85^*	0.07	19.31^***	6.69^**
基因型×环境×处理G × E × T	0.38	0.97	0.36	0.89	0.86	0.92	0.86	0.80^**
耐低氮指数Low nitrogen tolerance index
基因型 Genotype (G)	1.27^***	1.29^***	0.52	1.36^***	1.41^***	1.46^***	1.60^***	1.21^**
环境 Environment (E)	252.44^***	1602.53^***	495.90^***	60.41^***	5.03^*	1.12	22.07^***	292.30^***
基因型×环境 G × E	1.00	1.34^***	0.42	1.24^***	1.19^**	1.14^*	1.00	0.96

Screening, evaluation, and utilization of low nitrogen tolerance for the selected introgression lines in rice with Huanghuazhan background

RichHTML427

PDF

Abstract

Cite this article

share this article

Figures/Tables 8

References 35

Related Articles 15

Metrics

Comments

Recommended 0

性状 Trait	对照 Control (CK)			低氮 Low nitrogen (LN)			耐低氮指数 Low nitrogen tolerance index (LNTI)
性状 Trait	2013早季 Early season in 2013	2013晚季 Late season in 2013	2014早季 Early season in 2014	2013早季 Early season in 2013	2013晚季 Late season in 2013	2014早季 Early season in 2014	2013早季 Early season in 2013	2013晚季 Late season in 2013	2014早季 Early season in 2014
单株有效穗数 PN	11.5	12.3	10.7	4.8	5.6	4.6	0.42	0.46	0.43
抽穗期 HD (d)	75.3	73.1	76.5	60.1	60.1	60.1	0.80	0.82	0.79
株高 PH (cm)	95.0	92.1	94.2	75.2	75.2	75.2	0.79	0.82	0.80
千粒重 TWG (g)	23.6	22.8	23.5	19.0	21.0	19.8	0.81	0.92	0.84
每穗实粒数 FGP	164.2	153.2	170.3	106.9	103.7	107.5	0.65	0.68	0.63
每穗总粒数 SNP	187.6	167.5	189.8	134.3	122.5	137.1	0.72	0.73	0.72
结实率 SF (%)	87.5	85.1	88.1	79.6	83.8	80.1	0.91	0.98	0.91
单株产量 GYP (g)	26.3	22.7	26.9	12.7	10.5	13.7	0.48	0.46	0.51

[1]	Hu Zhao, Qian Run, Xie Feng-Pu, Ying Su-Ping. Genome-wide identification and expression analysis of the SPX gene family in rice under phosphorus treatment [J]. Acta Agronomica Sinica, 2026, 52(6): 1902-1912.
[2]	Zou Yi-Mei, Xu Min, Wang Hai-Yang, Yao Hui, Wang Jia-Feng, Liu Hao, Ren Dai-Sheng. Analysis of transcription factor regulatory networks in two-line male sterile rice seedling roots in response to salt stress [J]. Acta Agronomica Sinica, 2026, 52(6): 1728-1742.
[3]	Yan An, Jiang Kun-Wei, Wang Rong-Yuan, Tian Lin, Zhang Lu, Wang Yun, Xu Jian-Long. Identification and cloning of SVN7 controlling small vascular bundle number in the rice flag leaf [J]. Acta Agronomica Sinica, 2026, 52(5): 1364-1372.
[4]	Chen Wei, Wei Wan-Juan, Zhao Qi-Bing, Chang Dong-Wei, Yu Ling-Bo, Zhai Peng-Fei, Feng Zhi-Ming, Chen Zong-Xiang, Ren Yang-Tao, Yang Peng, Liu Hai-Lang, Li Zhen-Fu, Yang Yong-Le, Jin Yan-Gang, Zuo Shi-Min. Developing new germplasm of high-quality and early-maturing rice by editing Hd6 via CRISPR/Cas9 [J]. Acta Agronomica Sinica, 2026, 52(4): 1046-1056.
[5]	Shi Shao-Jie, Liu Kai, Chen Zi-Yi, Wang Hui-Ying, Li San-He, Zhou Lei, You Ai-Qing. Cloning and functional analysis of the dwarf and multi-tiller gene DMT1 in rice [J]. Acta Agronomica Sinica, 2026, 52(4): 1022-1034.
[6]	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.
[7]	Ye Fan, Li Shuai, Li Si-Yu, Chen Yun, Dou Chao-Yin, Liu Li-Jun. Effects of water-saving irrigation on rice yield and population quality in Northeast China [J]. Acta Agronomica Sinica, 2026, 52(3): 895-907.
[8]	Liu Ning, Fan Ping, Wang Cheng, Chen Qi-Qi, Cheng Qing-Yue, Tie Xia-Na, Tang Jing-Sha, Liu Bin-Bin, Xie Hong-Kun, Wang Jia-Yue, Shi Yuan-Qing, Ma Jun. Effects of reduced nitrogen application combined with organic fertilizer on yield formation and nitrogen utilization in mechanically transplanted rice [J]. Acta Agronomica Sinica, 2026, 52(3): 866-880.
[9]	Qin Yi-Yan, Fu Yao, Su Chang, Li Na, Xu Jing-Ru, Cheng Xiao-Ran, Zhang Qi, Zhao Ming-Hui. Functional analysis of OsST41 regulating salt tolerance in rice seedlings [J]. Acta Agronomica Sinica, 2026, 52(3): 802-812.
[10]	Zhu Jin-Juan, Wang Hui-Ping, Yang Guo-Dong, Wang Yu-Cheng, Yang Chen, Wang Bin, Agustiani Nurwulan, Tu Jun-Ming, Bi Jun-Guo, Cui Ke-Hui, Huang Jian-Liang, Peng Shao-Bing, Yuan Shen. Effects of water management and variety type on grain yield and quality in ratoon rice [J]. Acta Agronomica Sinica, 2026, 52(1): 295-315.
[11]	WANG Chan, WU Ying-Ying, LI Wen-Qi, LI Xia, WANG Fang-Quan, ZHOU Tong, YANG Jie. Development of functional markers of rice stripe disease resistance gene STV11 based on HRM technique [J]. Acta Agronomica Sinica, 2025, 51(9): 2547-2556.
[12]	GUO Bao-Wei, WANG Wang, WANG Kai, WANG Yan, ZENG Xin, JING Xiu, WANG Jing, NI Xin-Hua, XU Ke, ZHANG Hong-Cheng. Population dynamic characteristics and formation mechanisms of super high-yielding of two types of glutinous rice in the middle and lower reaches of the Yangtze Rive [J]. Acta Agronomica Sinica, 2025, 51(9): 2433-2453.
[13]	CHEN Hui-Ying, HE Jia-Xin, ZHU Bin, HUANG Shi-Xuan, ZHOU Xing-You, WU Jun-Quan, YANG Mei-Yan. Whole genome analysis and biological characterization of phage vB_XaS_ HDB2 infected with Xanthomonas oryzae pv. oryzae [J]. Acta Agronomica Sinica, 2025, 51(8): 2087-2099.
[14]	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.
[15]	WANG Fen, WU Dong-Li, ZHANG Quan-Jun. Response of phenological phase stages of single-cropping rice to climate change in Hubei province, China [J]. Acta Agronomica Sinica, 2025, 51(7): 1934-1948.