玉米品种穗部性状差异及其对籽粒脱水的影响

doi:10.3864/j.issn.0578-1752.2018.10.005

Abstract

Abstract:

【Objective】 The high grain dehydration rate and the low grain moisture content at harvest are two ear characters, which can be established for maize mechanical grain harvesting. Ear characters are decided by genes and have close relationship with grain dehydration. This internal relationship and the key ear characters that can characterize the traits of grain dehydration remain unknown, which are of great significance for breeding and screening of suitable varieties. 【Method】 The report researched on a total of 22 main cultivars of summer maize in HuangHuaiHai plain, and their ear characters were divided into 41 parameters covering bract, grain, cob and ear-pedicel. In 2015 and 2016, these parameters were measured and were used in correlation analysis with five grain parameters describing the dehydration rate, including the grain dehydration rate before physiological maturity (GDRbpm), the grain dehydration rate after physiological maturity (GDRapm), the total grain dehydration rate (GTDR), the grain moisture content at physiological maturity (GMCpm) and at harvest (GMCh). 【Result】 These 41 parameters were significantly different between the 22 cultivars, and there were some parameters significantly linked to grain dehydration. The bract length had a significantly negative relationship with GDRapm and a significantly positive relationship with GMCh. The value of “bract length/ear length” had a significantly negative correlation with GDRapm. The ear angle was positively correlated to GTDR at a significant level. The cob moisture content at physiological maturity had significantly positive relationships with GMCpm and GMCh. The grain number per ear was positively correlated to GDRbpm and GTDR at a significant level. The value of “ear length/grain number per row” had significantly positive relationships with GDRbpm, GDRapm and GTDR and had a significantly negative relationship with GMCh. The 100-grain dry weight at physiological maturity was negatively correlated to the grain moisture content at the significant level. There were no significant correlations between the other ear parameters and the five grain dehydration parameters.【Conclusion】 The current cultivars had different ear characters in HuangHuaiHai plain. These parameters contributed to grain dehydration rate, including the shorter bract, the lower moisture content of cob at physiological maturity, the larger ear angle, the fewer grain number per ear, and the smaller grain, which could be used in breeding and screening of mechanical grain harvest cultivars.

Key words: maize, grain dehydration, bract, grain, cob, ear-pedicel

LuLu LI, Bo MING, RuiZhi XIE, KeRu WANG, Peng HOU, ShaoKun LI. Differences of Ear Characters in Maize and Their Effects on Grain Dehydration[J].Scientia Agricultura Sinica, 2018, 51(10): 1855-1867.

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Figures/Tables 5

Table 1

Table 2

Ear parameters and their abbreviations"

序号 Ordinal number	指标 Parameter	简称 Abbreviation
1	苞叶层数Bract number	BN
2	苞叶最大厚度Max thickness of bract (mm)	BTmax
3	苞叶最小厚度Min thickness of bract (mm)	BTmin
4	苞叶面积Bract area (m²)	BA
5	苞叶面积/果穗表面积 Bract area/ear area	BA/EA
6	苞叶长度Bract length (cm)	BL
7	苞叶长度/果穗长度 Bract length/ear length	BL/EL
8	比苞叶重Bract relative weight (g·m^-2)	BRW
9	苞叶蓬松度 Fluffy degree of bract	BFD
10	苞叶生理成熟期干重Bract dry weight at physiological maturity (g)	BDWpm
11	苞叶生理成熟期鲜重Bract fresh weight at physiological maturity (g)	BFWpm
12	苞叶生理成熟期含水率Bract moisture content at physiological maturity (%)	BMCpm
13	苞叶生理成熟期含水量Bract moisture at physiological maturity (g)	BMpm
14	苞叶最大鲜重Max fresh weight of bract (g)	BFWmax
15	苞叶最大含水量Max moisture of bract (g)	BMmax
16	苞叶最大含水率Max moisture content of bract (%)	BMCmax
17	苞叶最小含水率Min moisture content of bract (%)	BMCmin
18	苞叶脱水速率Dehydration rate of bract (%·(℃·d)^-1)	BDR
19	果穗长度Ear length (cm)	EL
20	果穗直径Ear diameter (cm)	ED
21	穗轴直径Cob diameter (cm)	CD
22	果穗夹角Ear angle (°)	EA
23	果穗体积Ear volume (cm³)	EV
24	穗轴体积Cob volume (cm³)	CV
25	穗轴最大含水量Max moisture of cob (g)	CMmax
26	穗轴最大含水率Max moisture content of cob (%)	CMCmax
27	穗轴生理成熟期含水量Cob moisture at physiological maturity (g)	CMpm
28	穗轴生理成熟期含水率Cob moisture content at physiological maturity (%)	CMCpm
29	穗轴脱水速率Dehydration rate of cob (%·(℃·d)^-1)	CDR
30	穗柄长度Ear-pedicel length (cm)	EPL
31	穗柄最大含水率Max moisture content of ear-pedicel (%)	EPMCmax
32	穗柄生理成熟期含水量Ear-pedicel moisture at physiological maturity (g)	EPMpm
33	穗柄生理成熟期含水率Ear-pedicel moisture content at physiological maturity (%)	EPMCpm
34	穗柄脱水速率Dehydration rate of ear-pedicel (%·(℃·d)^-1)	EPDR
35	穗粒数 Grain number per ear	GNPE
36	穗行数 Rows per ear	RPE
37	籽粒长度Grain length (mm)	GL
38	果穗周长/穗行数Ear perimeter/ rows per ear (mm)	EP/RPE
39	果穗长度/行粒数Ear length/grain number per row (mm)	EL/GNPR
40	单粒所占空间Space of single grain (cm³)	SSG
41	生理成熟期百粒干重100-grain dry weight at physiological maturity (g)	100GDWpm
42	生理成熟期籽粒含水率Grain moisture content at physiological maturity (%)	GMCpm
43	收获期籽粒含水率Grain moisture content at harvest (%)	GMCh
44	生理成熟前籽粒脱水速率Grain dehydration rate before physiological maturity (%·(℃·d)^-1)	GDRbpm
45	生理成熟后籽粒脱水速率Grain dehydration rate after physiological maturity (%·(℃·d)^-1)	GDRapm
46	籽粒总脱水速率Total dehydration rate of grain (%·(℃·d)^-1)	GTDR

Table 2

Table 3

Bract characters of cultivars"

品种	年份	苞叶层数	苞叶最大厚度	苞叶最小厚度	苞叶面积	苞叶面积/果穗	苞叶长	苞叶长度/果穗长度	苞叶	比苞叶重	苞叶生理成熟期	苞叶生理成熟期	苞叶生理成熟期	苞叶生理成熟期	苞叶最大鲜重	苞叶最大含水量	苞叶最大含水率	苞叶最小含水率	苞叶脱水
Cultivar	Year	BN	BTmax (mm)	BTmin (mm)	BA	表面积	BL	BL/EL	蓬松度	BRW (g·m^-2)	干重	鲜重	含水率	含水量	BFWmax (g)	BMmax (g)	BMCmax	BMCmin	速率
					(m²)	BA/EA	(cm)		FD		BDWpm (g)	BFWpm (g)	BMCpm (%)	BMpm (g)			(%)	(%)	BDR (%·(℃·d)^-1)
XY335	###	10±0.7			0.15±2.1	5.2±0.5	22.3±1.1	1.2±0.1	1.44±0.1	70.6±5.7	12.63±1.5	13.90±1.2	9.33±4.7	1.27±0.5
ZD958	###	9±0.9			0.17±2.5	6.2±0.7	25.0±1.2	1.5±0.1	1.20±0.1	49.8±6.0	8.93±2.1	9.52±2.2	6.34±1.7	0.59±0.2
NH101	###	9±0.9			0.15±3.0	4.7±0.9	23.7±1.2	1.3±0.1	1.60±0.2	62.8±4.5	10.36±1.9	11.55±1.8	11.57±3.9	1.32±0.5
JNK728	###	9±1.2			0.19±9.5	6.9±3.5	24.2±0.8	1.4±0.1	1.33±0.2	60.5±2.7	11.40±1.0	13.44±1.4	14.95±5.2	2.04±0.8
NH816	###	10±0.6			0.17±2.0	5.4±0.5	26.0±1.3	1.3±0.1	1.44±0.2	60.2±5.2	10.21±1.0	14.69±2.0	30.12±4.9	4.48±1.3
ZD909	###	8±0.7			0.13±1.9	4.2±0.4	25.4±1.5	1.3±0.1	1.29±0.1	69.3±8.5	8.96±1.7	9.71±1.9	7.56±2.3	0.74±0.3
YF303	###	11±1.1			0.20±3.3	6.4±0.6	25.0±1.6	1.3±0.1	1.45±0.1	76.6±13.5	16.21±2.6	20.41±2.8	19.24±3.7	4.20±1.2
LC808	###	10±1.0			0.15±3.0	4.9±0.7	24.1±1.9	1.3±0.1	1.41±0.2	64.7±6.0	14.33±4.0	16.45±4.8	12.66±2.1	2.12±1.0
ZKY505	###	11±0.7			0.18±2.7	5.8±0.6	22.8±1.7	1.2±0.1	1.34±0.1	72.4±8.6	10.66±2.6	11.71±3.0	8.75±1.7	1.05±0.4
HT1H	###	10±1.7			0.12±1.1	4.8±0.6	21.6±1.1	1.2±0.1	1.48±0.1	69.6±8.4	9.69±2.0	12.45±2.7	20.78±3.1	2.76±0.9
NY721	###	8±0.6			0.12±2.0	3.8±0.4	23.7±1.6	1.3±0.1	1.44±0.2	83.3±9.6	9.99±1.3	12.15±1.4	17.78±4.4	2.16±0.6
XY335	###	9±0.8	3.62±0.6	1.55±0.4	0.17±2.6	6.5±1.0	24.5±1.0	1.4±0.2		77.8±12.4	10.77±1.6	14.41±2.0	25.29±3.7	3.65±0.7	67.70±9.9	53.75±8.0	79	14	0.074
ZD958	###	9±0.8	3.86±0.2	0.92±0.2	0.18±2.3	7.0±0.7	25.4±0.2	1.5±0.1		63.1±12.0	8.83±1.6	10.30±1.3	14.34±2.5	1.47±0.3	72.20±10.7	59.61±8.6	81	16	0.109
NH101	###	10±0.8	4.19±0.7	1.34±0.3	0.15±1.6	5.6±0.3	24.9±0.9	1.4±0.1		63.9±9.1	9.53±1.3	13.90±1.1	31.56±5.6	4.37±0.7	80.19±16.6	64.19±12.9	79	16	0.085
JNK728	###	10±0.7	4.55±0.2	1.56±0.3	0.16±1.8	7.7±0.5	25.2±1.3	1.7±0.1		58.2±4.0	9.79±1.3	11.18±1.4	12.44±0.6	1.39±0.2	89.09±5.9	74.07±6.0	80	13	0.128
NH816	###	10±0.6	4.40±0.3	1.69±0.2	0.17±2.5	6.1±0.4	27.2±0.8	1.4±0.1		66.5±6.3	9.29±2.6	12.58±4.7	24.37±6.8	3.28±2.3	75.58±7.0	61.75±5.6	82	16	0.082
ZD909	###	9±0.8	3.84±0.6	0.99±0.1	0.13±2.3	4.8±0.8	24.9±1.0	1.4±0.1		59.8±5.7	7.92±0.6	9.74±1.1	18.24±5.5	1.82±0.7	67.94±8.4	55.20±6.9	80	18	0.099
XD58	###	11±0.7	5.32±0.9	1.38±0.1	0.13±2.1	5.8±0.5	24.2±1.3	1.5±0.1		59.2±7.6	8.14±0.8	11.51±1.2	29.16±4.0	3.37±0.7	81.78±9.6	67.10±7.4	80	15	0.093
XD65	###	10±0.9	4.58±0.2	1.61±0.1	0.14±1.5	7.1±0.9	23.4±0.6	1.6±0.2		65.9±6.6	9.46±0.6	11.36±1.2	16.32±6.3	1.90±0.9	86.17±5.9	70.21±5.2	80	15	0.105
FK139	###	11±1.2	4.37±0.1	1.46±0.3	0.16±4.0	8.2±1.1	26.3±1.2	1.7±0.2		77.3±9.6	10.32±1.3	14.79±2.6	29.73±4.2	4.48±1.5	65.54±8.6	51.46±5.7	77	15	0.094
DK517	###	9±0.7	3.23±0.1	1.04±0.1	0.13±2.3	5.0±0.4	23.9±1.6	1.3±0.1		52.4±3.5	6.33±0.9	7.96±1.2	20.49±2.2	1.63±0.3	51.13±2.1	41.45±1.8	79	16	0.088
SD636	###	10±0.8	4.53±0.4	1.53±0.3	0.14±1.9	6.0±0.5	25.9±1.5	1.5±0.1		75.6±14.6	8.66±1.4	10.19±1.6	15.08±2.2	1.54±0.3	71.66±10.3	59.92±7.5	81	16	0.091
JH207	###	10±1.0	4.25±0.7	1.53±0.1	0.13±2.0	5.5±0.5	23.8±1.1	1.4±0.2		63.8±6.9	8.36±0.7	10.17±0.9	17.84±1.2	1.82±0.2	77.78±13.5	61.40±10.6	79	16	0.071
LD575	###	11±1.0	4.97±0.4	1.93±0.2	0.17±1.5	7.0±0.5	24.9±0.9	1.6±0.1		71.7±9.9	12.32±2.1	15.22±4.5	16.59±11.0	2.90±2.8	87.82±11.9	70.81±9.6	78	16	0.081
HM1H	###	9±0.7	4.41±0.7	1.45±0.2	0.12±1.4	4.8±0.4	25.9±0.7	1.5±0.1		68.6±3.6	10.56±2.8	15.84±6.8	29.73±10.6	5.27±4.0	66.10±4.0	53.39±3.3	79	14	0.08
JH318	###	10±0.6	4.00±0.4	1.44±0.2	0.12±0.9	5.3±0.8	22.3±0.7	1.4±0.2		67.9±3.7	8.28±0.8	11.70±1.6	28.96±2.7	3.42±0.7	57.56±4.8	44.88±7.3	78	19	0.069
JT152	###	11±0.8	4.80±0.2	1.52±0.1	0.15±2.7	6.0±0.4	26.9±0.9	1.5±0.1		59.2±7.5	11.50±1.8	14.33±2.7	19.47±2.5	2.84±0.9	82.91±3.7	66.77±2.6	81	17	0.072
ZJ323	###	8±0.7	4.29±0.2	1.32±0.2	0.12±2.2	4.6±0.4	27.0±2.1	1.5±0.1		72.0±4.5	7.72±1.2	8.28±1.3	6.82±0.7	0.56±0.1	74.57±8.8	59.01±7.2	80	15	0.075
变化范围		####	3.23-5.32	0.92-1.93	0.12-0.20	3.8-8.2	21.6-27.2	1.2-1.7	1.20-1.60	49.8-83.3	6.33-14.33	7.96-20.41	6.34-31.56	0.56-5.27	51.13-89.09	41.45-74.07	77.09-81.35	12.90-18.65	0.069-0.128
Variation range		####	3.23-5.32	0.92-1.93	0.12-0.20	3.8-8.2	21.6-27.2	1.2-1.7	1.20-1.60	49.8-83.3	6.33-14.33	7.96-20.41	6.34-31.56	0.56-5.27	51.13-89.09	41.45-74.07	77.09-81.35	12.90-18.65	0.069-0.128
样本量(n)		1 000	85	85	195	280	195	280	110	195	184	184	184	184	85	85
Sample number		1 000	85	85	195	280	195	280	110	195	184	184	184	184	85	85
F值 F value		37.49**	5.76**	7.92**	3.98**	14.09**	8.83**	15.61**	5.28**	7.47**	8.72**	7.91**	20.53**	9.04**	6.69**	7.44**

Table 3

Table 6

Fig. 1

References 26

[1]	王克如, 李少昆. 玉米机械粒收破碎率研究进展. 中国农业科学, 2017, 50(11): 2018-2026. doi: 10.3864/j.issn.0578-1752.2017.11.007
	WANG K R, LI S K.Progresses in research on grain broken rate by mechanical grain harvesting.Scientia Agricultura Sinica, 2017, 50(11): 2018-2026. (in Chinese) doi: 10.3864/j.issn.0578-1752.2017.11.007
[2]	王克如, 李少昆. 玉米籽粒脱水速率影响因素分析. 中国农业科学, 2017, 50(11): 2027-2035.
	WANG K R, LI S K.Analysis of influencing factors on kernel dehydration rate of maize hybrids.Scientia Agricultura Sinica, 2017, 50(11): 2027-2035. (in Chinese)
[3]	柴宗文, 王克如, 郭银巧, 谢瑞芝, 李璐璐, 明博, 侯鹏, 刘朝巍, 初振东, 张万旭, 张国强, 刘广周, 李少昆. 玉米机械粒收质量现状及其与含水率的关系. 中国农业科学, 2017, 50(11): 2036-2043.
	CHAI Z W, WANG K R, GUO Y Q, XIE R Z, LI L L, MING B, HOU P, LIU C W, CHU Z D, ZHANG W X, ZHANG G Q, LIU G Z, LI S K.Current status of maize mechanical grain harvesting and its relationship with grain moisture content.Scientia Agricultura Sinica, 2017, 50(11): 2036-2043. (in Chinese)
[4]	李璐璐, 雷晓鹏, 谢瑞芝, 王克如, 侯鹏, 张凤路, 李少昆. 夏玉米机械粒收质量影响因素分析. 中国农业科学, 2017, 50(11): 2044-2051. doi: 10.3864/j.issn.0578-1752.2017.11.010
	LI L L, LEI X P, XIE R Z, WANG K R, HOU P, ZHANG F L, LI S K.Analysis of influential factors on mechanical grain harvest quality of summer maize.Scientia Agricultura Sinica, 2017, 50(11): 2044-2051. (in Chinese) doi: 10.3864/j.issn.0578-1752.2017.11.010
[5]	CAVALIERI A J, SMITH O S.Grain filling and field drying of a set of maize hybrid released from 1930 to 1982.Crop Science, 1985, 25(5): 856-860. doi: 10.2135/cropsci1985.0011183X002500050031x
[6]	KANG M S, ZUBER M S, COLBERT T R, COLBERT T R, HORROCKS R D.Effect of certain agronomic traits on and relationship between rates of grain moisture reduction and grain fill during filling period in maize.Field Crop Research, 1986, 14(4): 339-347. doi: 10.1016/0378-4290(86)90068-7
[7]	KANG M S, ZUBER M S.Combining ability for grain moisture, husk moisture, and maturity in maize with yellow and white endosperms.Crop Science, 1989, 29(3): 689-692. doi: 10.2135/cropsci1989.0011183X002900030030x
[8]	闫淑琴, 苏俊, 李春霞, 龚士琛, 宋锡章, 李国良, 扈光辉, 王明泉, 贲利. 玉米籽粒灌浆、脱水速率的相关与通径分析.玉黑龙江农业科学, 2007(4): 1-4.
	YAN S Q, SU J, LI C X, GONG S C, SONG X Z, LI G L, HU G H, WANG M Q, BEN L.Correlation analysis of dry down and grain filling rate in maize.Heilongjiang Agricultural Sciences, 2007(4): 1-4. (in Chinese)
[9]	CRANE P L, MILES S R, NEWMAN J E.Factors associated with varietal differences in rate of field drying in corn.Agronomy Journal, 1959, 51(6): 318-320. doi: 10.2134/agronj1959.00021962005100060003x
[10]	HICKS D R, GEADELMANN J L, PETERSON R H.Drying rates of frosted maturing maize.Agronomy Journal, 1976, 68(3): 452-455. doi: 10.2134/agronj1976.00021962006800030004x
[11]	张林, 张宝石, 王霞, 王振华. 玉米收获期籽粒含水量与主要农艺性状相关分析. 东北农业大学学报, 2009, 40(10): 9-12. doi: 10.3969/j.issn.1005-9369.2009.10.003
	ZHANG L, ZHANG B S, WANG X, WANG Z H.Correlation analysis of agronomic characters and grain moisture in maize harvest time.Journal of Northeast Agricultural University, 2009, 40(10): 9-12. (in Chinese) doi: 10.3969/j.issn.1005-9369.2009.10.003
[12]	PURDY J D, CRANE P L.Inheritance of drying rate in “mature” corn (Zea mays L.). Crop Science, 1967, 7(4): 294-297. doi: 10.2135/cropsci1967.0011183X000700040003x
[13]	MISEVIC D, ALEXANDER D E.Twenty-four cycles of phenotypic recurrent selection for percent oil in maize. 1. per se and test-cross performance.Crop Science, 1989, 29(2): 320-324. doi: 10.2135/cropsci1989.0011183X002900020018x
[14]	孙生林, 张树光, 薛继生, 张天英, 高树仁, 向春阳. 玉米粒含水量与果穗性状相关性的研究. 黑龙江八一农垦大学学报, 1993, 7(1): 12-17.
	SUN S L, ZHANG S G, XUE J S, ZHANG T Y, GAO S R, XIANG C Y.Study on correlation between kernel dehydration and ear characters of maize.Journal of Heilongjiang August First Land Reclamation University, 1993, 7(1): 12-17. (in Chinese)
[15]	张树光, 冯学民, 高树仁, 孙生林. 玉米成熟期籽粒含水量与果穗性状的关系. 中国农学通报, 1994, 10(2): 15-17.
	ZHANG S G, FENG X M, GAO S R, SUN S L.Study on kernel moisture content and ear characters of maize hybrids with different maturity time.Chinese Agricultural Science Bulletin, 1994, 10(2): 15-17. (in Chinese)
[16]	李艳杰, 史纪明, 鞠成梅, 朱晶. 玉米子粒水分与品种性状相关性研究初报. 玉米科学, 2000, 8(4): 37-38. doi: 10.3969/j.issn.1005-0906.2000.04.012
	LI Y J, SHI J M, JU C M, ZHU J.Preliminary study on the correlation between grain moisture content and cultivar traits in maize.Journal of Maize Sciences, 2000, 8(4): 37-38. (in Chinese) doi: 10.3969/j.issn.1005-0906.2000.04.012
[17]	吕香玲, 兰进好, 张宝石. 玉米果穗脱水速率的研究. 西北农林科技大学学报(自然科学版), 2006, 34(2): 48-52. doi: 10.3321/j.issn:1671-9387.2006.02.011
	LÜ X L, LAN J H, ZHANG B S.Study on ear moisture loss rate in maize.Journal of Northwest A&F University(Natural Science Edition), 2006, 34(2): 48-52. (in Chinese) doi: 10.3321/j.issn:1671-9387.2006.02.011
[18]	张春荣, 岳竞之, 张莉, 郜永强, 孙迷平. 玉米子粒含水量与穗部性状的相关分析. 玉米科学, 2007, 15(1): 59-61.
	ZHANG C R, YUE J Z, ZHANG L, GAO Y Q, SUN M P.Correlation analysis of kernel water content and ear characteristics of maize.Journal of Maize Sciences, 2007, 15(1): 59-61. (in Chinese)
[19]	张立国, 范骐骥, 陈喜昌, 李波, 张宇, 修丽丽. 玉米生理成熟后籽粒脱水速率与主要农艺性状的相关分析. 黑龙江农业科学, 2012(3): 1-5. doi: 10.3969/j.issn.1002-2767.2012.03.001
	ZHANG L G, FAN Q J, CHEN X C, LI B, ZHANG Y, XIU L L.Correlation analysis on dry-down rate and main agricultural traits in maize after physiological maturity..Heilongjiang Agricultural Sciences, 2012(3): 1-5. (in Chinese) doi: 10.3969/j.issn.1002-2767.2012.03.001
[20]	CROSS H Z.A selection procedure for ear drying-rates in early maize.Euphytica, 1985, 34(2): 409-418. doi: 10.1007/BF00022936
[21]	李璐璐, 明博, 高尚, 谢瑞芝, 侯鹏, 王克如, 李少昆. 夏玉米籽粒脱水特性及与灌浆特性的关系. 中国农业科学, 51(10): 1878-1889.
	LI L L, MING B, GAO S, XIE R Z, HOU P, WANG K R, LI S K.Study on grain dehydration characters of summer maize and its relationship with grain filling.Scientia Agricultura Sinica, 51(10): 1878-1889. (in Chinese)
[22]	胡玉琪, 廖晓海. 玉米叶形系数研究. 作物学报, 1986, 12(1):66, 71-72.
	HU Y Q, LIAO X H. A study on the coefficient of leaves shape of maize.Acta Agronomica Sinica, 1986, 12(1):66, 71-72. (in Chinese)
[23]	刘镕源, 王纪华, 杨贵军, 黄文江, 李伟国, 常红, 李小文. 冬小麦叶面积指数地面测量方法比较. 农业工程学报, 2011, 27(3): 220-224.
	LIU R Y, WANG J H, YANG G J, HUANG W J, LI W G, CHANG H, LI X W.Comparison of ground-based LAI measuring methods on winter wheat.Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(3): 220-224. (in Chinese)
[24]
[25]	李璐璐, 谢瑞芝, 范盼盼, 雷晓鹏, 王克如, 侯鹏, 李少昆. 郑单958与先玉335子粒脱水特征研究. 玉米科学, 2016, 24(2): 57-61, 71.
	LI L L, XIE R Z, FAN P P, LEI X P, WANG K R, HOU P, LI S K.Study on dehydration in kernel between Zhengdan958 and Xianyu335.Journal of Maize Sciences, 2016, 24(2): 57-61, 71. (in Chinese)
[26]	何启平, 董树亭, 高荣岐. 玉米果穗维管束系统的发育及其与穗粒库容的关系. 作物学报, 2005, 31(8): 995-1000. doi: 10.3321/j.issn:0496-3490.2005.08.006
	HE Q P, DONG S T, GAO R Q.Relationship between development of spike vascular bundle and sink capacity of ear and kernel in maize (Zea mays L.). Acta Agronomica Sinica, 2005, 31(8): 995-1000. (in Chinese) doi: 10.3321/j.issn:0496-3490.2005.08.006

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序号 Number	品种 Cultivar	种植年度 Year	亲本 Parent
1	郑单958 ZD958	2015、2016	郑58×昌7-2 Zheng58×Chang7-2
2	先玉335 XY335	2015、2016	PH6WC×PH4CV
3	农华101 NH101	2015、2016	NH60×S121
4	农华816 NH816	2015、2016	7P402×B8328
5	京农科728 JNK728	2015、2016	京MC01×京2416 Jing MC01×Jing 2416
6	中单909 ZD909	2015、2016	郑58×HD586 Zheng58×HD586
7	裕丰303 YF303	2015	CT1669×CT3354
8	联创808 LC808	2015	CT3566×CT3354
9	中科玉505 ZKY505	2015	CT1668×CT3354
10	禾田1号 HT1H	2015	B10194×合344 B10194×He344
11	宁玉721 NY721	2015	宁晨26×宁晨137 Ningchen26×Ningchen137
12	华美1号 HM1H	2016	HF12202×HM12111
13	真金323 ZJ323	2016	H351×Z962
14	新单58 XD58	2016	新09美×新3782 Xin09mei×Xin3782
15	新单65 XD65	2016	新026×新3782 Xin026×Xin3782
16	辽单575 LD575	2016	辽3358×辽3258 Liao3358×Liao3258
17	锦华318 JH318	2016	7P402×L9097
18	锦华207 JH207	2016	京X005×京147 Jing X005×Jing147
19	金通152 JT152	2016	NY60×B8328
20	迪卡517 DK517	2016	D1798Z×HCL645
21	陕单636 SD636	2016	KA103×KB043
22	丰垦139 FK139	2016	K334×K454

序号 Ordinal number	指标 Parameter	年份 Year	品种 Cultivar	年份×品种 Year×cultivar	样本量(n) Sample number
1	苞叶层数BN	15.23**	25.37**	10.59**	365
2	苞叶面积BA	0.02	3.08*	0.50	90
3	苞叶面积/果穗表面积 BA/EA	15.10**	14.32**	0.25	120
4	苞叶长度BL	13.51**	12.59**	2.18	90
5	苞叶长度/果穗长度 BL/EL	45.02**	19.18**	4.35**	120
6	比苞叶重BRW	3.13	10.49**	4.65**	90
7	苞叶生理成熟期干重BDWpm	8.77**	7.19**	0.50	84
8	苞叶生理成熟期鲜重BFWpm	0.07	11.54**	2.62*	84
9	苞叶生理成熟期含水率BMCpm	64.94**	28.69**	18.60**	84
10	苞叶生理成熟期含水量BMpm	23.27**	20.98**	12.43**	84
11	果穗长度EL	10.89**	14.96**	1.63	120
12	果穗直径ED	83.59**	7.29**	1.77	120
13	穗轴直径CD	28.69**	31.29**	0.79	120
14	果穗夹角EA	15.96**	13.27**	3.06*	120
15	果穗体积EV	63.55**	6.39**	1.48	120
16	穗轴体积CV	5.94*	15.13**	0.97	120
17	穗轴生理成熟期含水量CMpm	2.13	14.48**	4.30**	84
18	穗轴生理成熟期含水率CMCpm	6.87*	30.87**	1.42	84
19	穗柄生理成熟期含水量EPMpm	5.09*	22.09**	1.93	84
20	穗柄生理成熟期含水率EPMCpm	14.38**	5.01**	0.69	84
21	穗粒数 GNPE	3.51	16.66**	5.01**	240
22	穗行数 RPE	0.24	8.07**	1.07	240
23	籽粒长度GL	139.72**	3.69**	2.35*	120
24	果穗周长/穗行数EP/RPE	28.94**	8.87**	1.35	120
25	果穗长度/行粒数EL/GNPR	0.27	8.78**	3.08*	120
26	单粒所占空间SSG	76.5**	1.86	0.82	120
27	生理成熟期百粒干重100GDWpm	0.86	5.68**	1.52	84
28	生理成熟期籽粒含水率GMCpm	0.94	7.76**	9.7**	84
29	收获期籽粒含水率GMCh	2.63	31.68**	2.71*	84

Differences of Ear Characters in Maize and Their Effects on Grain Dehydration

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