Different Maize Germplasm Materials: Grey Correlation Analysis of Plant and Ear-kernel Traits

doi:10.11924/j.issn.1000-6850.casb2021-0382

Abstract

Abstract:

To study the relationship among the main agronomic traits of 12 maize single cross hybrids, the grey correlation analysis method was used to analyze the grey correlation degree of the main traits of plant, ear-kernel, yield and quality of the tested materials. The results showed that the plant and ear-kernel traits closely related to yield were kernel rate, kernel number per row, ear diameter, kernel weight per ear, 100-kernel weight and etc. The correlation degree was from 0.4353 to 0.3327. Plant and ear-kernel traits closely related to nutritional qualities such as crude protein, crude fat, crude starch and lysine content were kernel rate, plant height, ear length, cod diameter and kernel number per row, and etc. The correlation degree was 0.5106-0.3929. In summary, for the genetic improvement of different maize germplasm materials, it is necessary to give priority to the selection of kernel rate and 100-kernel weight on the premise of ensuring normal growth, and more attention should also be paid to the selection of plant height, ear length, cob diameter, kernel number per row, thus improving the breeding efficiency.

Key words: maize, germplasm resources, plant traits, ear-kernel traits, grey correlation analysis

CLC Number:

S513

JI Kun, WANG Bin, ZHAO Bowen, XUE Hao, WU Jianmin, ZHU Xiaojian, WANG Yixin, ZHAO Haijun, HAN Zanping. Different Maize Germplasm Materials: Grey Correlation Analysis of Plant and Ear-kernel Traits[J]. Chinese Agricultural Science Bulletin, 2022, 38(9): 27-32.

Figures/Tables 6

References 25

[1]	邓家琴, 潘中山, 李树林. 中国玉米种植产业发展现状及对策[J]. 现代农业科技, 2020, 760(2):40-42.
[2]	马翔龙, 郭党, 李小东, 等. 玉米杂交种产量相关性状灰色关联度分析及品种评价筛选探讨[J]. 山西农业科学, 2012, 40(6):585-589,595.
[3]	唐海涛, 张彪, 田玉秀, 等. 玉米杂交种“棒三叶”光合性状的灰色关联度分析[J]. 玉米科学, 2008, 16(6):38-41.
[4]	税红霞, 何丹, 王秀全, 等. 11个春玉米新品种主要农艺性状与产量的灰色关联度分析[J]. 耕作与栽培, 2020, 40(1):20-23.
[5]	沈庆荣. 凤阳地区玉米杂交种产量与主要农艺性状的灰色关联度分析[J]. 安徽农学通报, 2019, 25(23):84-87.
[6]	安治良. 豫北地区夏玉米产量与农艺性状的灰色关联度分析[J]. 农业科技通讯, 2018, 558(6):184-188.
[7]	孙峰成, 冯勇, 于卓, 等. 12个玉米群体的主要农艺性状与产量、品质的灰色关联度分析[J]. 华北农学报, 2012, 27(1):102-105.
[8]	邓聚龙. 灰色系统基本方法[M]. 武汉: 华中理工大学出版社, 1987.
[9]	史明山, 孙海昆, 杨密珠, 等. 玉米杂交种主要农艺性状的灰色关联度分析[J]. 陕西农业科学, 2008, 365(2):5-6.
[10]	邓聚龙. 灰色系统与农业[J]. 山西农业科学, 1985(5):34-37.
[11]	赵克明. 改善玉米品质推广优质玉米[J]. 玉米科学, 2000, 8(1):8-10.
[12]	史向远, 李永平, 周静, 等. 旱地玉米种植密度与产量及农艺性状的相关和灰色关联度分析[J]. 玉米科学, 2012, 20(6):94-97.
[13]	李玉玲, 牛素贞, 余永亮, 等. 空间条件对玉米自交系主要农艺性状的影响[J]. 中国农学通报, 2005, 21(8):158-161.
[14]	刘兆丽, 王同芹, 刘世敏, 等. 玉米耐热性评价研究进展[J]. 安徽农业科学, 2021, 49(2):16-18.
[15]	孙红炜, 徐晓辉, 李凡, 等. 转基因玉米双抗12-5-21的抗虫性及对草甘膦的耐受性[J]. 生物安全学报, 2021, 30(1):43-49.
[16]	姚文秋, 于海杰. 玉米棒三叶叶面喷肥对产量的影响[J]. 北京农业, 2013, 542(9):113.
[17]	张志慧, 郭锐, 白琪林, 钮笑晓, 卜鸿吉. 高产玉米组合主要性状的灰色关联度分析[J]. 山西农业科学, 2011, 39(9):930-932.
[18]	安治良. 豫南地区夏玉米产量和农艺性状的灰色关联度分析[J]. 安徽农业科学, 2018, 46(24):31-33,44.
[19]	王美霞, 陈保国, 张之奇, 等. 早熟玉米杂交组合主要农艺性状与产量的灰色关联度分析[J]. 种子, 2021, 40(1):108-111,127.
[20]	王磊, 李尚中, 赵刚, 等. 干旱地区玉米产量性状与产量的灰色关联度分析[J]. 贵州农业科学, 2010, 38(8):45-47.
[21]	吴荣华, 庄克章, 张春艳, 等. 鲁南地区玉米产量与主要农艺性状的灰色关联度分析[J]. 作物研究, 2019, 33(6):524-527.
[22]	杨宁, 孔令刚, 甄铁军, 等. 夏玉米产量与主要气象因子灰色关联度分析[J]. 农学学报, 2020, 10(11):37-42.
[23]	张中伟, 杨海龙, 付俊, 等. 辽宁地区糯玉米鲜穗产量与农艺性状灰色关联度分析[J]. 作物研究, 2021, 35(1):80-83.
[24]	贾晓军, 丁变红, 张小伟, 等. 44个玉米杂交种产量与主要农艺性状的灰色关联度分析[J]. 中国农学通报, 2015, 31(21):16-23.
[25]	魏常敏, 周文伟, 许卫猛, 等. 基于主成分和灰色关联度分析的鲜食糯玉米组合综合评价[J]. 贵州农业科学, 2020, 48(7):9-13.

代号	品种
H₁	郑单958(CK)
H₂	赛徳玉1988
H₃	神舟30
H₄	神舟38
H₅	艺玉1958
H₆	艺玉1966
H₇	豫金黄100
H₈	淦玉2号
H₉	赛徳玉301
H₁₀	神舟27
H₁₁	新玉20
H₁₂	兆丰626

代号	品种
H₁	郑单958(CK)
H₂	赛徳玉1988
H₃	神舟30
H₄	神舟38
H₅	艺玉1958
H₆	艺玉1966
H₇	豫金黄100
H₈	淦玉2号
H₉	赛徳玉301
H₁₀	神舟27
H₁₁	新玉20
H₁₂	兆丰626

	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂	Y₁	Z₁	Z₂	Z₃	Z₄
H₁	-1.3586	0.4337	-0.6781	-1.3684	1.0270	-0.1500	-0.2943	-0.8765	-0.3022	0.2397	-0.5551	0.5009	-0.1063	-1.3834	0.8119	0.8896	-1.0197
H₂	1.5132	1.4153	-0.0468	0.4222	-0.4762	0.3959	0.4687	-0.5746	-0.1099	0.7675	0.1378	-0.3578	0.3601	-0.1261	0.3217	-0.2689	-0.0784
H₃	-0.0518	0.4215	1.0183	-0.1092	1.9084	0.9646	0.7416	-0.4236	0.3571	-0.6990	-0.8010	1.3597	-1.5760	-0.4288	0.4047	-0.2027	-0.0784
H₄	-0.2522	-0.3285	1.0381	-0.3057	-0.2460	1.7693	1.6436	0.1300	0.2473	2.1171	0.0708	0.5009	0.4191	0.1416	-0.2212	0.9061	-0.5490
H₅	-1.2614	-0.5470	-1.5953	-0.0146	-0.6035	-1.1210	-1.2793	-0.2726	0.4396	-1.2830	0.3837	1.3597	1.1569	1.2942	-1.2392	2.4784	1.8040
H₆	-1.4076	-1.3664	-0.4611	-0.4003	-1.6171	-1.6247	-1.6375	1.1869	-2.7198	0.8237	2.7308	-0.3578	-0.1299	-0.4637	0.3368	-0.3848	-0.0784
H₇	0.4601	1.3338	-0.8162	0.1820	-0.8826	-0.6700	-0.5701	1.7405	1.5385	-0.1453	-0.2198	-0.3578	-1.9007	0.2231	0.1257	-0.3186	0.3922
H₈	-0.4811	-1.4846	-0.5400	1.9288	-1.0638	-0.2149	0.0783	-0.1720	0.0549	-1.5771	0.4955	-2.0753	-0.9976	2.0043	-2.2043	-0.3517	1.3334
H₉	1.3962	0.4900	0.4858	-0.7861	0.7675	-0.1395	-0.0106	-1.4805	-0.3297	-0.0544	0.2273	-1.2165	0.9090	0.5957	0.0955	-0.9806	0.3922
H₁₀	0.6795	-0.8039	-0.0074	1.6377	0.3415	0.2970	0.2602	-0.0210	0.5769	-0.5908	-0.6669	0.5009	0.4958	-0.3007	-0.5907	-0.1696	0.3922
H₁₁	0.1822	1.0525	-0.4611	-1.2738	0.2436	-0.7876	-0.8287	-0.7759	-0.2473	-0.0415	-0.8457	0.5009	1.0212	0.0136	0.4424	-0.3020	-0.5490
H₁₂	0.5815	-0.6164	2.0638	0.0873	0.6010	1.2809	1.4279	1.5392	0.4945	0.4430	-0.9574	-0.3578	0.3483	-1.5697	1.7167	-1.2950	-1.9609

	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂	Y₁	Z₁	Z₂	Z₃	Z₄
H₁	-1.3586	0.4337	-0.6781	-1.3684	1.0270	-0.1500	-0.2943	-0.8765	-0.3022	0.2397	-0.5551	0.5009	-0.1063	-1.3834	0.8119	0.8896	-1.0197
H₂	1.5132	1.4153	-0.0468	0.4222	-0.4762	0.3959	0.4687	-0.5746	-0.1099	0.7675	0.1378	-0.3578	0.3601	-0.1261	0.3217	-0.2689	-0.0784
H₃	-0.0518	0.4215	1.0183	-0.1092	1.9084	0.9646	0.7416	-0.4236	0.3571	-0.6990	-0.8010	1.3597	-1.5760	-0.4288	0.4047	-0.2027	-0.0784
H₄	-0.2522	-0.3285	1.0381	-0.3057	-0.2460	1.7693	1.6436	0.1300	0.2473	2.1171	0.0708	0.5009	0.4191	0.1416	-0.2212	0.9061	-0.5490
H₅	-1.2614	-0.5470	-1.5953	-0.0146	-0.6035	-1.1210	-1.2793	-0.2726	0.4396	-1.2830	0.3837	1.3597	1.1569	1.2942	-1.2392	2.4784	1.8040
H₆	-1.4076	-1.3664	-0.4611	-0.4003	-1.6171	-1.6247	-1.6375	1.1869	-2.7198	0.8237	2.7308	-0.3578	-0.1299	-0.4637	0.3368	-0.3848	-0.0784
H₇	0.4601	1.3338	-0.8162	0.1820	-0.8826	-0.6700	-0.5701	1.7405	1.5385	-0.1453	-0.2198	-0.3578	-1.9007	0.2231	0.1257	-0.3186	0.3922
H₈	-0.4811	-1.4846	-0.5400	1.9288	-1.0638	-0.2149	0.0783	-0.1720	0.0549	-1.5771	0.4955	-2.0753	-0.9976	2.0043	-2.2043	-0.3517	1.3334
H₉	1.3962	0.4900	0.4858	-0.7861	0.7675	-0.1395	-0.0106	-1.4805	-0.3297	-0.0544	0.2273	-1.2165	0.9090	0.5957	0.0955	-0.9806	0.3922
H₁₀	0.6795	-0.8039	-0.0074	1.6377	0.3415	0.2970	0.2602	-0.0210	0.5769	-0.5908	-0.6669	0.5009	0.4958	-0.3007	-0.5907	-0.1696	0.3922
H₁₁	0.1822	1.0525	-0.4611	-1.2738	0.2436	-0.7876	-0.8287	-0.7759	-0.2473	-0.0415	-0.8457	0.5009	1.0212	0.0136	0.4424	-0.3020	-0.5490
H₁₂	0.5815	-0.6164	2.0638	0.0873	0.6010	1.2809	1.4279	1.5392	0.4945	0.4430	-0.9574	-0.3578	0.3483	-1.5697	1.7167	-1.2950	-1.9609

品种	株高/cm		穗位高/cm		穗长/cm	穗行数/行		行粒数/粒		穗粒重/g		穗重/g		轴粗/cm	穗粗/cm
品种	X₁		X₂		X₃	X₄		X₅		X₆		X₇		X₈	X₉
H₁	254.6±5		127.93±1.09		15.33±0.91	14.67±0.68		34.6±1.14		147.29±17.34		166.56±18.36		2.89±0.3	4.57±0.3
H₂	293.87±5.42		138.4±2.05		15.97±0.39	17.13±0.41		31.53±1.75		154.02±1.31		177.21±0.91		2.95±0.19	4.64±0.35
H₃	272.47±3.07		127.8±4.04		17.05±0.31	16.4±0.33		36.4±0.59		161.03±9.13		181.02±7.72		2.98±0.14	4.81±0.15
H₄	269.73±6.04		119.8±4.27		17.07±0.32	16.13±0.19		32±1.28		170.95±8.65		193.61±10		3.09±0.22	4.77±0.34
H₅	255.93±4.16		117.47±5.56		14.4±0.27	16.53±0.68		31.27±0.9		135.32±3.94		152.81±5.14		3.01±0.11	4.84±0.13
H₆	253.93±8.88		108.73±6.4		15.55±0.19	16±0.65		29.2±1.23		129.11±8.41		147.81±9.79		3.3±1.05	3.69±0.84
H₇	279.47±5.62		137.53±2.37		15.19±1.03	16.8±0		30.7±1.1		140.88±18.19		162.71±19.31		3.41±0.01	5.24±0.26
H₈	266.6±4.55		107.47±4.26		15.47±0.77	19.2±0.57		30.33±0.96		146.49±6.86		171.76±8.48		3.03±0.05	4.7±0.16
H₉	292.27±11.53		128.53±8.4		16.51±1.18	15.47±1.64		34.07±4.33		147.42±22.14		170.52±21.65		2.77±0.05	4.56±0.21
H₁₀	282.47±5.9		114.73±1.98		16.01±0.44	18.8±1.18		33.2±1.07		152.8±5.77		174.3±6.33		3.06±0.05	4.89±0.02
H₁₁	275.67±3.34		134.53±0.98		15.55±0.51	14.8±0.86		33±1.5		139.43±10.39		159.1±11.23		2.91±0.15	4.59±0.03
H₁₂	281.13±21.41		116.73±12.31		18.11±1.55	16.67±0.19		33.73±2.82		164.93±22.26		190.6±27.56		3.37±0.12	4.86±0.08
品种	百粒重/g		秃尖长/cm	出籽率/%		产量/(kg/12m²）		粗蛋白含量/%		粗淀粉含量/%		赖氨酸含量/%		粗脂肪含量/%
品种	X₁₀	X₁₁	X₁₂		Y₁		Z₁		Z₂		Z₄		Z₃
H₁	31.55±1.96		1.12±0.42	0.88±0.01		12.65±0.81		8.09±1.2		76.78±0.85		0.32±0.01		7.96±0.77
H₂	32.77±1.56		1.43±0.48	0.87±0.01		13.44±1.16		9.17±0.61		76.13±1.51		0.34±0.03		7.26±0.11
H₃	29.38±1.37		1.01±0.48	0.89±0.01		10.16±1.3		8.91±0.29		76.24±0.44		0.34±0.02		7.3±0.61
H₄	35.89±1.79		1.4±0.09	0.88±0		13.54±0.89		9.4±0.52		75.41±1.16		0.33±0.02		7.97±0.4
H₅	28.03±1.17		1.54±0.09	0.89±0		14.79±0.72		10.39±0.91		74.06±0.62		0.38±0		8.92±0.19
H₆	32.9±1.09		2.59±0.94	0.87±0.01		12.61±0.47		8.88±0.4		76.15±0.74		0.34±0.01		7.19±0.63
H₇	30.66±1.12		1.27±1.09	0.87±0.01		9.61±1.02		9.47±0.91		75.87±1.62		0.35±0.02		7.23±0.4
H₈	27.35±0.32		1.59±0.32	0.85±0		11.14±0.75		11±0.41		72.78±0.79		0.37±0.02		7.21±0.5
H₉	30.87±3.86		1.47±0.06	0.86±0.02		14.37±0.81		9.79±0.88		75.83±0.27		0.35±0		6.83±0.99
H₁₀	29.63±0.76		1.07±0.38	0.88±0		13.67±1.33		9.02±0.6		74.92±0.82		0.35±0.02		7.32±0.24
H₁₁	30.9±1.42		0.99±0.24	0.88±0		14.56±0.73		9.29±0.6		76.29±0.64		0.33±0.01		7.24±0.46
H₁₂	32.02±0.41		0.94±0.18	0.87±0.01		13.42±0.81		7.93±0.13		77.98±1.04		0.3±0.01		6.64±1.05