燕麦品种间脂肪酶活性差异及低脂肪酶优质品种的预测

doi:10.3864/j.issn.0578-1752.2022.21.002

Abstract

Abstract:

【Objective】This study explored the differences and causes of oat lipase activity of different varieties. Providing a theoretical basis for screening varieties with low lipase activity and achieving stable enzyme inactivation effect of oat products. 【Method】Six main varieties of three main oat planting regions were selected for the study, and their lipase activity, nutritional indexes, physical traits, and agronomic indexes were measured. To answer the differences in lipase activity of oat varieties, the indicators significantly related to oat lipase were screened by correlation analysis. Through cluster analysis, classified multiple oat samples by lipase activity. Transform data having correlations into composite variables for statistical analysis by principal component analysis. To derive a predictive model for lipase activity, an analytical method combining gray correlation and multiple stepwise regression was used. The indicators correlating with lipase activity were used as independent variables, and the lipase activity was used as dependent variables for quantitative model fitting. 【Result】Lipase activity was significantly positively correlated with crude fat content (r=0.32, P<0.05), and the various trends of fat content, unsaturated fatty acid content, lipase activity, and acid value were consistent. Lipase activity was significantly positively correlated with crude protein content (r=0.46, P<0.01), and the higher lipase activity was, the higher percentage of electrophoretic bands located in 31-43 kD were. It was significantly negatively correlated with grain test weight (r=-0.71, P<0.01) and positively associated with growth period (r=0.37, P<0.01). Baiyan 18 and Diyan 1 had low lipase activity and high nutrition varieties according to grey relational analysis, and the relevance value with ideal variety X₀ were 0.951 and 0.883, respectively. Stepwise regression analysis only retained the test weight and protein content as independent variables. The prediction model of lipase activity was established as Y=720.274-2.255×test weight (g·L^-1)+75.761× protein content (%), P<0.01, R²=0.658.【Conclusion】The varieties had significant effects on oat lipase activity. Protein content, fat content, test weight, and growth period were the main influencing factors of oat lipase activity. Grey relational analysis combined with stepwise regression analysis could be used to comprehensively evaluate oat varieties effectively and quickly select varieties with low lipase activity.

Key words: oat varieties, planting area, lipase activity, correlation analysis, prediction model

XIANG YuTing, WANG XiaoLong, HU XinZhong, REN ChangZhong, GUO LaiChun, LI Lu. Lipase Activity Difference of Oat Varieties and Prediction of Low Lipase Activity Variety with High Quality[J].Scientia Agricultura Sinica, 2022, 55(21): 4104-4117.

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Figures/Tables 12

Table 1

Table 2

Results of quality indicators of oat grains of different varieties"

品种 Variety	营养指标（干基）Nutritive index (dry)												物理指标Physical index						脂肪酶活性 Lipase activity (µmol·h^-1·g^-1)			生育期 Period of duration (d)
	粗脂肪 Crude lipid (%)			粗蛋白 Crude protein (%)			粗淀粉 Crude starch (%)			β-葡聚糖 β-glucan (%)			千粒重 Thousand seed weight (g)			容重 Test weight (g·L^-1)			脂肪酶活性 Lipase activity (µmol·h^-1·g^-1)			生育期 Period of duration (d)
	平均值 Mean	变幅 Range	变异系数SV	平均值 Mean	变幅 Range	变异系数SV	平均值 Mean	变幅 Range	变异系数SV	平均值 Mean	变幅 Range	变异系数SV	平均值 Mean	变幅 Range	变异系数SV	平均值 Mean	变幅 Range	变异系数 SV	平均值 Mean	变幅 Range	变异系数SV	平均值 Mean	变幅 Range	变异系数SV
迪燕1号 Diyan 1	6.62a	6.17- 6.99	3.92	14.44ab	14.20- 14.70	1.04	61.47b	60.20- 62.37	1.40	4.06a	3.73- 4.39	4.93	27.11c	25.64- 27.97	2.95	720.57ab	695.25- 740.05	2.49	168.31ab	83.23- 235.64	39.10	99b	82- 108	12.70
魏都莜5号 Weiduyou 5	6.55a	6.16- 6.97	4.48	14.87bc	14.23- 15.31	3.03	60.37ab	58.53- 62.01	1.97	4.41b	4.23- 4.60	3.17	23.92b	22.49- 26.13	5.48	729.24b	712.00- 748.40	1.90	206.02abc	122.29- 334.00	43.62	89ab	76- 101	12.20
晋燕17号 Jinyan 17	6.12a	5.41- 6.57	6.80	14.99c	14.39- 15.81	3.27	59.38a	58.40 -60.10	0.98	4.82c	4.32- 5.22	6.85	24.50b	23.51- 24.87	2.00	727.19b	708.65- 741.83	1.87	220.91bc	86.90- 310.93	45.71	91ab	79- 104	12.02
张莜9号 Zhangyou 9	6.54a	5.79- 7.71	11.65	14.58bc	13.63- 15.30	4.80	60.45ab	58.69- 62.75	2.45	4.73c	4.18- 5.51	12.26	26.73c	25.62- 27.95	2.62	706.26a	670.30- 726.65	3.27	274.90c	161.01- 387.16	34.09	101b	93- 109	6.90
坝莜18号 Bayou18	6.68a	5.79- 8.25	15.13	14.11a	13.37- 14.65	3.83	61.59b	57.30- 67.21	6.77	4.81c	4.61- 5.03	3.33	26.43c	24.10- 29.44	7.98	703.10a	659.00- 739.10	4.77	163.20ab	84.24- 303.46	67.40	99b	88- 104	8.11
白燕18号 Baiyan18	6.19a	5.02- 6.73	10.53	14.82bc	14.58- 15.20	1.21	60.46ab	58.76- 61.76	1.90	4.78c	4.51- 5.39	6.07	21.27a	19.93- 21.81	2.82	768.66c	764.70- 774.65	0.42	120.74a	77.83- 168.11	28.82	83a	66- 100	17.68

Table 2

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References 38

[1]	任长忠, 胡跃高. 中国燕麦学. 北京: 中国农业出版社, 2013.
	REN C Z, HU Y G. Chinese Oatology. Beijing: China Agriculture Press, 2013. (in Chinese)
[2]	周素梅, 申瑞玲. 燕麦的营养及其加工利用. 北京: 化学工业出版社, 2009.
	ZHOU S M, SHEN R L. Nutrition and Processing and Utilization of Oats. Beijing: Chemical Industry Press, 2009. (in Chinese)
[3]	胡新中, 魏益民, 任长忠. 燕麦品质与加工. 北京: 科学出版社, 2009.
	HU X Z, WEI Y M, REN C Z. Oat Quality and Processing. Beijing: Science Press, 2009. (in Chinese)
[4]	戚向阳, 曹少谦, 刘合生, 陈伟. 不同品种燕麦的油脂组成及与其它营养物质相关性研究. 中国食品学报, 2014, 14(5): 63-71.
	QI X Y, CAO S Q, LIU H S, CHEN W. Studies on the lipid composition of different oat varieties and its relationship with other nutrients. Journal of Chinese Institute of Food Science and Technology, 2014, 14(5): 63-71. (in Chinese)
[5]	JUNG H, MOON S J. Purification,distribution, and characterization activity of lipase from oat seeds (Avena sativa L.). Journal of the Korean Society for Applied Biological Chemistry, 2013, 56(6): 639-645.
[6]	ANGAJALA G, PAVAN P, SUBASHINI R. Lipases: An overview of its current challenges and prospective in the revolution of biocatalysis. Biocatalysis and Agricultural Biotechnology, 2016, 7: 257-270.
[7]	李兴军. 谷物及其加工品脂肪酶解的生化机制. 粮食科技与经济, 2012, 37(6): 55-58.
	LI X J. Enzymic degradation of lipids in cereal and their products. Grain Science and Technology and Economy, 2012, 37(6): 55-58. (in Chinese)
[8]	林伟静, 吴广枫, 李春红, 王燕, 周素梅. 品种与环境对我国裸燕麦营养品质的影响. 作物学报, 2011, 37(6): 1087-1092.
	LIN W J, WU G F, LI C H, WANG Y, ZHOU S M. Effects of cultivar and environment on nutritional quality of Chinese naked oats. Acta Agronomica Sinica, 2011, 37(6): 1087-1092. (in Chinese)
[9]	曹品豹. 燕麦油脂及在燕麦发芽过程中的变化和微胶囊化制备工艺[D]. 武汉: 华中农业大学, 2009.
	CAO P B. Lipids of oat, their changes during germination and preparation technics of microencapsulation[D]. Wuhan: Huazhong Agricultural University, 2009. (in Chinese)
[10]	ZIEGLER V, FERREIRA C D, DA SILVA J, ZAVAREZE E D R, DIAS A R G, OLIVEIRA M D, ELIAS M C. Heat-moisture treatment of oat grains and its effects on lipase activity and starch properties. Starch-Stärke, 2018, 70(1/2): 1700010.
[11]	GAO Y C, WANG L L, QIU J, BAI G L, LI Z G. Effects of different lipase inactivation treatments on physicochemical properties of naked oat globulins. Cereal Chemistry, 2016, 93(3): 248-254.
[12]	胡新中, 罗勤贵, 欧阳韶晖, 郑建梅, 张国权. 裸燕麦酶活性抑制方法及品质比较. 中国粮油学报, 2006(5): 46-50.
	HU X Z, LUO Q G, OUYANG S H, ZHENG J M, ZHANG G Q. Comparison of naked oat stabilizing methods and their quality effect. Journal of the Chinese Cereals and Oils Association, 2006(5): 46-50. (in Chinese)
[13]	刘婷玉, 佟立涛, 王丽丽, 周素梅, 刘丽娅. 燕麦籽粒不同灭酶方式对燕麦乳稳定性和营养物质的影响. 中国粮油学报, 2021, 36(10): 22-28.
	LIU T Y, TONG L T, WANG L L, ZHOU S M, LIU L Y. Effects of different enzyme inactivating modes on the stability and nutrients of oat milk. Journal of the Chinese Cereals and Oils Association, 2021, 36(10): 22-28. (in Chinese)
[14]	甄红敏, 栾广忠, 胡新中, 张培培, 徐超, 郑建梅. 灭酶方法对燕麦淀粉和蛋白质体外消化特性的影响. 麦类作物学报, 2011, 31(3): 475-479.
	ZHEN H M, LUAN G Z, HU X Z, ZHANG P P, XU C, ZHENG J M. Effects of different lipase deactivated treatments on in vitro starch and protein digestibility of oat whole meal. Journal of Triticeae Crops, 2011, 31(3): 475-479. (in Chinese)
[15]	倪香艳, 顾军强, 钟葵, 佟立涛, 刘丽娅, 周素梅. 燕麦品种的品质性状及聚类分析. 中国粮油学报, 2016, 31(10): 18-24.
	NI X Y, GU J Q, ZHONG K, TONG L T, LIU L Y, ZHOU S M. Quality characteristics of oat cultivars and cluster analysis. Journal of the Chinese Cereals and Oils Association, 2016, 31(10): 18-24. (in Chinese)
[16]	KWON D Y, RHEE J S. A simple and rapid colorimetric method for determination of free fatty acids for lipase assay. Journal of the American Oil Chemists’ Society, 1986, 63(1): 89-92.
[17]	胡新中. 燕麦的酶活性及其食品加工中抑制工艺研究[D]. 杨凌: 西北农林科技大学, 2007.
	HU X Z. Oat enzyme activity and its deactivation for food processing[D]. Yangling: Northwest A&F University, 2007. (in Chinese)
[18]	卢丹, 张文婷, 赵武奇, 胡新中, 李小平. 超临界CO₂萃取燕麦油工艺研究. 中国油脂, 2018, 43(4): 1-6.
	LU D, ZHANG W T, ZHAO W Q, HU X Z, LI X P. Supercritical CO₂ extraction of oat oil. China Oils and Fats, 2018, 43(4): 1-6. (in Chinese)
[19]	石珂心, 赵武奇, 谷如祥, 张文婷. 超临界CO₂萃取樱桃仁油及GC-MS分析. 中国粮油学报, 2016, 31(1): 60-64+69.
	SHI K X, ZHAO W Q, GU R X, ZHANG W T. The supercritical carbon dioxide fluid extraction of cherry kernel oil and analysis by GC-MS. Journal of the Chinese Cereals and Oils Association, 2016, 31(1): 60-64+69. (in Chinese)
[20]	刘建垒. 燕麦蛋白的提取及其亚基与功能特性研究[D]. 晋中: 山西农业大学, 2013.
	LIU J L. Oat protein isolatie: Extraction, protein subunits and functional properties[D]. Jinzhong: Shanxi Agricultural University, 2013. (in Chinese)
[21]	LAEMMLI U K. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature, 1970, 227(5259): 680-685.
[22]	王建芳, 高山, 牟德华. 基于主成分分析和聚类分析的不同品种燕麦品质评价. 食品工业科技, 2020, 41(13): 85-91.
	WANG J F, GAO S, MOU D H. Quality evaluation of different varieties of oat based on principal components analysis and cluster analysis. Science and Technology of Food Industry, 2020, 41(13): 85-91. (in Chinese)
[23]	王青, 戴思兰, 何晶, 季玉山, 王朔. 灰色关联法和层次分析法在盆栽多头小菊株系选择中的应用. 中国农业科学, 2012, 45(17): 3653-3660.
	WANG Q, DAI S L, HE J, JI Y S, WANG S. Application of grey correlation analysis and AHP method in selection of potted Chrysanthemum. Scientia Agricultura Sinica, 2012, 45(17): 3653-3660. (in Chinese)
[24]	李诗炜. 熟化谷物粉在储藏过程中的氧化及其评价指标分析[D]. 无锡: 江南大学, 2017.
	LI S W. Analysis of oxidation and evaluation indexes of instant cereal flours during storage[D]. Wuxi: Jiangnan University, 2017. (in Chinese)
[25]	MIRMOGHTADAIE L, KADIVAR M, SHAHEDI M. Effects of succinylation and deamidation on functional properties of oat protein isolate. Food Chemistry, 2009, 114(1): 127-131.
[26]	管骁, 姚惠源. 燕麦麸蛋白的组成及功能性质研究. 食品科学, 2006, 27(7): 72-76.
	GUAN X, YAO H Y. Composition and functional properties of oat bran protein. Food Science, 2006, 27(7): 72-76. (in Chinese)
[27]	URQUAHART A A, ALTOSAAR I, MATLASHEWSKI G J. Localization of lipase activity in oat grains and milled oat fractions. Cereal Chemistry, 1983, 60(2): 181-183.
[28]	KUMAR L, SEHRAWAT R, KONG Y Z. Oat proteins: A perspective on functional properties. LWT- Food Science and Technology, 2021, 152: 112307.
[29]	YU C W, ZHENG L F, CHENG M Y, YU X Y, WANG S Y, FAN Y W, DENG Z Y. Purification, identification, characterization and catalytic mechanism of two lipases from rice bran (Oryza sativa). LWT- Food Science and Technology, 2021, 140: 110693.
[30]	车海先, 李海玉. 玉米容重影响因素浅析. 粮食与食品工业, 2011, 18(1): 56-58+61.
	CHE H X, LI H Y. Analysis of influencing factors on maize test weight. Cereal & Food Industry, 2011, 18(1): 56-58+61. (in Chinese)
[31]	PETERSON D M. Lipase activity and lipid metabolism during oat malting. Cereal Chemistry, 1999, 76: 159-163.
[32]	任长忠, 杨才. 中国燕麦品种志. 北京: 中国农业出版社, 2018.
	REN C Z, YANG C. Oat Varieties of China. Beijing: China Agriculture Press, 2018. (in Chinese)
[33]	李涵鑫, 李小平, 马蓁, 李俊俊, 胡新中, 任长忠. 燕麦籽粒特性与理化及加工品质特性的关系. 麦类作物学报, 2015, 35(4): 499-507.
	LI H X, LI X P, MA Z, LI J J, HU X Z, REN C Z. Relationships between oat kernel, physicochemical and processing parameters. Journal of Triticeae Crops, 2015, 35(4): 499-507. (in Chinese)
[34]	HU X Z, WEI Y M, REN C Z, ZHAO J. Relationship between kernel size and shape and lipase activity of naked oat before and after pearling treatment. Journal of the Science of Food and Agriculture, 2009, 89(8): 1424-1427.
[35]	MEL R, MALALGODA M. Oat protein as a novel protein ingredient: Structure, functionality, and factors impacting utilization. Cereal Chemistry, 2021, 99(1): 21-36.
[36]	赵春, 宁堂原, 焦念元, 韩宾, 李增嘉. 基因型与环境对小麦籽粒蛋白质和淀粉品质的影响. 应用生态学报, 2005(7): 1257-1260.
	ZHAO C, NING T Y, JIAO N Y, HAN B, LI Z J. Effects of genotype and environment on protein and starch quality in wheat grain. Chinese Journal of Applied Ecology, 2005(7): 1257-1260. (in Chinese)
[37]	金欣欣, 姚艳荣, 贾秀领, 姚海坡, 申海平, 崔永增, 李谦. 基因型和环境对小麦产量、品质和氮素效率的影响. 作物学报, 2019, 45(4): 635-644.
	JIN X X, YAO Y R, JIA X L, YAO H P, SHEN H P, CUI Y Z, LI Q. Effects of genotype and environment on wheat yield, quality and nitrogen use efficiency. Acta Agronomica Sinica, 2019, 45(4): 635-644. (in Chinese)
[38]	武辉, 侯丽丽, 周艳飞, 范志超, 石俊毅, 阿丽艳, 肉孜, 张巨松. 不同棉花基因型幼苗耐寒性分析及其鉴定指标筛选. 中国农业科学, 2012, 45(9): 1703-1713.
	WU H, HOU L L, ZHOU Y F, FAN Z C, SHI J Y, A L Y, ROU Z, ZHANG J S. Analysis of chilling-tolerance and determination of chilling-tolerance evaluation indicators in cotton of different genotypes. Scientia Agricultura Sinica, 2012, 45(9): 1703-1713. (in Chinese)

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种植地 Planting region	经度 Longitude (°)	纬度 Latitude (°)	海拔 Altitude (m)	平均气温 Average temperature (℃)	平均降水量 Average precipitation (mm)
山西右玉 Youyu, Shanxi	112.45	40.00	1345.8	5.0	472.3
甘肃通渭 Tongwei, Gansu	104.37	35.57	2450.2	5.5	605.2
河北张北 Zhangbei, Hebei	114.73	41.13	1600.0	4.7	502.1

产地 Planting region	品种 Variety	脂肪含量 Lipid content (%)	不饱和脂肪酸含量 Unsaturated fatty acid content (%)	酸值 Acid value (mg KOH/100 g)	脂肪酶活性 Lipase activity (µmol·h^-1·g^-1)
山西右玉 Youyu, Shanxi	迪燕1号 Diyan 1	6.83±0.13f	78.30±0.16cd	50.67±0.44j	185.74±13.91d
	魏都莜5号 Weiduyou 5	6.74±0.15f	78.37±0.23cd	43.63±0.20f	126.35±6.04b
	晋燕17号 Jinyan 17	6.36±0.19cde	78.74±0.11de	54.24±0.40m	265.24±11.04f
	张莜9号 Zhangyou9	6.25±0.15cd	78.78±0.13de	47.46±0.19h	171.29±8.91c
	坝莜18号 Bayou18	5.65±0.26b	77.75±0.31a	38.73±0.24c	87.15±2.67a
	白燕18号 Baiyan18	6.65±0.08ef	78.24±0.31bc	48.36±0.08i	161.80±6.60c
	平均值 Mean	6.45±0.36	78.34±0.36	47.18±5.11	166.26±56.97
甘肃通渭 Tongwei, Gansu	迪燕1号 Diyan1	6.34±0.19cd	78.36±0.43cd	46.06±0.25g	233.59±1.93e
	魏都莜5号 Weiduyou5	6.21±0.06c	78.35±0.12cd	53.12±0.23l	322.90±13.22h
	晋燕17号 Jinyan17	6.38±0.21cde	78.51±0.01cde	56.72±0.61n	308.62±2.09g
	张莜9号 Zhangyou9	5.86±0.06b	77.85±0.11ab	52.22±0.18k	386.98±0.24i
	坝莜18号 Bayou18	8.01±0.22h	78.74±0.05de	61.14±1.25o	309.76±5.67g
	白燕18号 Baiyan18	6.55±0.12def	77.53±0.22a	41.22±0.30e	117.83±8.20b
	平均值 Mean	6.56±0.71	78.22±0.43	51.75±6.77	279.95±87.75
河北张北 Zhangbei, Hebei	迪燕1号 Diyan1	6.69±0.13f	78.51±0.18cde	40.47±0.14d	85.60±4.05a
	魏都莜5号 Weiduyou5	6.70±0.25f	78.96±0.21e	45.66±0.31h	168.80±2.05c
	晋燕17号 Jinyan17	5.62±0.24b	78.45±0.24cd	37.93±0.08b	88.86±2.84a
	张莜9号 Zhangyou9	7.52±0.22g	78.65±0.15cde	54.60±0.29m	266.43±2.96f
	坝莜18号 Bayou18	6.19±0.08c	77.75±0.02a	40.43±0.18d	92.69±2.22a
	白燕18号 Baiyan18	5.34±0.28a	77.67±0.18a	36.02±0.07a	82.58±4.53a
	平均值 Mean	6.34±0.77	78.30±0.50	42.52±6.34	130.84±69.60

指标 Indicator	迪燕1号 Diyan 1	魏都莜5号 Weiduyou 5	晋燕17号 Jinyan 17	张莜9号 Zhangyou 9	坝莜18号 Bayou 18	白燕18号 Baiyan 18
蛋白Protein	0.992	0.992	0.991	0.977	0.991	0.999
脂肪Lipid	0.999	0.995	0.988	0.991	0.999	0.995
淀粉Starch	0.996	0.955	0.932	0.917	0.984	0.999
β-葡聚糖β-glucan	0.989	0.992	0.997	0.993	1.000	1.000
容重Test weight	0.569	0.512	0.474	0.356	0.556	0.839
千粒重Thousand seed weight	0.999	0.944	0.948	0.963	0.998	0.924
生育期Period of duration	0.932	0.903	0.906	0.985	0.906	0.882
脂肪酶活性Lipase activity	0.584	0.456	0.422	0.334	0.593	0.971
关联度Correlation	0.883	0.844	0.832	0.814	0.878	0.951
排名Rank	2	4	5	6	3	1

变量 Variable	系数 B	标准误差 SD	t检验值 t	<BOLD>显著性</BOLD> <BOLD>P</BOLD>	模型 Model	拟度优合R²
常量Constant	720.274	297.507	2.421	0.019	Y=720.274-2.255×容重+75.761×蛋白质含量	0.658
容重Test weight (g·L^-1)	-2.255	0.268	-8.408	0.000
蛋白质含量Protein content (%)	75.761	14.547	5.208	0.000

品种 Variety	脂肪酶活性测定值Measurement value of lipase activity (µmol·h^-1·g^-1)	排序 Rank	脂肪酶活性预测值 Predictive value of lipase activity (µmol·h^-1·g^-1)	排序 Rank	误差 Error (%)
迪燕1号Diyan 1	168.31	5	189.20	5	12.41
魏都莜5号Weiduyou 5	206.01	3	202.64	4	1.64
晋燕17号Jinyan 17	220.91	2	215.85	2	2.29
张莜9号Zhangyou 9	274.90	1	232.59	1	15.39
坝莜18号Bayou 18	163.20	4	203.58	3	24.74
白燕18号Baiyan 18	120.77	6	109.72	6	9.15

Lipase Activity Difference of Oat Varieties and Prediction of Low Lipase Activity Variety with High Quality

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