普通油茶良种资源表型性状多样性分析与综合评价

doi:10.3785/j.issn.1008-9209.2023.12.182

浙江大学学报（农业与生命科学版）

2024, Vol. 50

Issue (2): 244-257 DOI: 10.3785/j.issn.1008-9209.2023.12.182

研究论文

普通油茶良种资源表型性状多样性分析与综合评价

邢凯峰(

),张剑(

),陈尚,张立冬,谢昊星,赵耀,戎俊

南昌大学生命科学学院，江西南昌 330031

Diversity analysis of phenotypic traits and comprehensive evaluation of Camellia oleifera excellent germplasm resources

Kaifeng XING(

),Jian ZHANG(

),Shang CHEN,Lidong ZHANG,Haoxing XIE,Yao ZHAO,Jun RONG

School of Life Sciences, Nanchang University, Nanchang 330031, Jiangxi, China

全文: PDF(2295 KB) HTML

摘要：

普通油茶（Camellia oleifera）是我国总产油量最高、栽培面积最广的木本油料作物。为促进我国普通油茶良种资源的挖掘与利用，本研究使用主成分分析、相关性分析、聚类分析、巢式方差分析、多元回归分析等方法以及变异系数、表型分化系数、香农-维纳多样性指数，探究560份普通油茶良种资源的表型性状多样性及其与环境因子的相关性，并使用熵权TOPSIS法对560份普通油茶良种资源进行综合评价和排序。结果表明，560份普通油茶良种资源存在丰富的遗传多样性，34个表型性状的香农-维纳多样性指数为0.05～2.35，均值为1.06，数量性状的变异系数为3.02%～53.33%，均值为23.25%。普通油茶良种资源34个表型性状种源间和种源内的方差分量均值分别为53.591%和32.382%，说明普通油茶良种资源表型性状种源内相似性较高，其分化主要来自种源间。随着纬度的升高和年平均温度的降低，普通油茶良种资源平均单果质量、种仁含油率及饱和脂肪酸含量呈现下降趋势，而不饱和脂肪酸含量呈现上升趋势，表明纬度和年平均温度是限制普通油茶生长的主要因子。熵权TOPSIS法综合评价和排序结果显示，长林4号综合得分指数最高，浙江、云南、安徽、湖南等地区均有多个选育的良种综合排名在前30以内。本研究结果为普通油茶育种及良种推广提供了数据支撑。

关键词： 普通油茶; 良种资源; 表型性状; 熵权TOPSIS法; 综合评价

Abstract:

Camellia oleifera is the woody oil crop with the highest total oil production and the largest cultivated area in China. To improve the mining and utilization of C. oleifera excellent germplasm resources in China, this study used principal component analysis, correlation analysis, cluster analysis, nested analysis of variance, multiple regression analysis, the coefficient of variation, the phenotypic differentiation coefficient, and the Shannon-Wiener diversity index to explore the diversity of phenotypic traits of 560 C. oleifera excellent germplasm resources and the correlation between the phenotypic traits and environmental factors. The 560 C. oleifera excellent germplasm resources were comprehensively evaluated and ranked using the entropy-weighted TOPSIS method. The results showed that there was abundant genetic variation in the 560 C. oleifera excellent germplasm resources, and the Shannon-Wiener diversity indexes of 34 phenotypic traits ranged from 0.05 to 2.35, with a mean value of 1.06, while the coefficients of variation for quantitative traits ranged from 3.02% to 53.33%, with a mean value of 23.25%. The mean values of the variance components among and within provenances of C. oleifera were 53.591% and 32.382%, respectively, indicating that the phenotypic trait similarity within provenances of C. oleifera excellent germplasm resources was high and that its variation mainly originated from within provenances. With the increase of latitude and decrease of annual mean temperature, the single fruit mass, seed kernel oil content and saturated fatty acid content of C. oleifera showed a decreasing trend, while the unsaturated fatty acid content showed an increasing trend, indicating that latitude and annual mean temperature were the main environmental factors limiting the growth of C. oleifera. The comprehensive evaluation and ranking results of the entropy-weighted TOPSIS method showed that Changlin 4 had the highest comprehensive score index, and Zhejiang, Yunnan, Anhui, Hunan regions had several selected excellent germplasms in the rank of top 30. These results can provide data support for breeding and seed promotionof C. oleifera.

Key words: Camellia oleifera excellent germplasm resources phenotypic trait entropy-weighted TOPSIS method comprehensive evaluation

收稿日期: 2023-12-18 出版日期: 2024-04-25

CLC:

S794.4

基金资助: 国家自然科学基金项目(32260306);江西省自然科学基金项目(20232BAB215014)

通讯作者: 张剑 E-mail: 2286639921@qq.com;zhangjianlab@126.com

作者简介: 邢凯峰（https://orcid.org/0009-0001-5417-5151），E-mail：2286639921@qq.com

	服务
	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	邢凯峰
	张剑
	陈尚
	张立冬
	谢昊星
	赵耀
	戎俊

引用本文:

邢凯峰,张剑,陈尚,张立冬,谢昊星,赵耀,戎俊. 普通油茶良种资源表型性状多样性分析与综合评价[J]. 浙江大学学报（农业与生命科学版）, 2024, 50(2): 244-257.

Kaifeng XING,Jian ZHANG,Shang CHEN,Lidong ZHANG,Haoxing XIE,Yao ZHAO,Jun RONG. Diversity analysis of phenotypic traits and comprehensive evaluation of Camellia oleifera excellent germplasm resources. Journal of Zhejiang University (Agriculture and Life Sciences), 2024, 50(2): 244-257.

链接本文:

https://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2023.12.182 或 https://www.zjujournals.com/agr/CN/Y2024/V50/I2/244

表1 普通油茶良种资源13个数量性状的变异情况

表型性状 Phenotypic trait	种源间 Among provenances			种源内 Within provenances			随机误差 Random error		表型分化系数 V_st/%
表型性状 Phenotypic trait	均方 Mean square	F值 F value	方差分量 Variance component/%	均方 Mean square	F值 F value	方差分量 Variance component/%	均方 Mean square	方差分量 Variance component/%	表型分化系数 V_st/%
均值 Mean	4.999	8.100	53.591	5.057	6.682	32.382	0.758	14.027	62.892
树形 Tree posture	2.611	2.704^**	53.373	1.316	1.363	26.901	0.965	19.726	66.488
嫩枝绒毛 Downy hairs on shoots	0.368	0.281	18.586	0.300	0.229	15.152	1.312	66.263	55.090
叶芽颜色 Leaf bud color	3.792	6.007^**	61.900	1.703	2.698	27.800	0.631	10.300	69.008
叶芽绒毛 Leaf bud fluff	1.605	3.583^**	65.403	0.401	0.895	16.341	0.448	18.256	80.010
嫩叶颜色 Young leaf color	5.001	6.072^**	57.083	2.936	3.564	33.512	0.824	9.405	63.009
老叶颜色 Old leaf color	5.487	6.083^**	19.042	22.426	24.863^**	77.828	0.902	3.130	19.658
叶片形状 Leaf shape	12.867	22.090^**	93.742	0.277	0.475	2.018	0.582	4.240	97.893
叶缘形状 Leaf margin shape	16.800	54.871^**	89.035	1.763	5.758^*	9.343	0.306	1.622	90.503
叶尖形状 Leaf tip shape	3.040	3.914^**	79.456	0.009	0.012	0.235	0.777	20.308	99.705
叶基形状 Leaf base shape	4.368	5.865^**	38.539	6.221	8.352^**	54.888	0.745	6.573	41.250
叶长 Leaf length	1.969	2.399^**	12.598	12.839	15.642^**	82.149	0.821	5.253	13.297
叶宽 Leaf width	2.656	2.862^**	19.557	9.997	10.772^**	73.610	0.928	6.833	20.991
叶形指数 Leaf shape index	4.388	5.115^**	82.497	0.073	0.085	1.372	0.858	16.131	98.364
萼片绒毛 Sepal villus	0.713	1.103	30.588	0.971	1.501	41.656	0.647	27.756	42.340
花瓣颜色 Petal color	0.329	0.358	21.391	0.291	0.317	18.921	0.918	59.688	53.065
雄蕊与雌蕊高度 Stamen and pistil heights	3.377	3.478^**	44.405	3.257	3.354	42.827	0.971	12.768	50.904
柱头开裂 Column head cracks	8.071	8.903^**	47.902	7.871	8.682^**	46.715	0.907	5.383	50.627
子房绒毛 Ovarian villus	1.161	1.652	62.285	0	0.001	0	0.703	37.715	100.000
果实表面形状 Fruit surface shape	1.972	2.742^**	38.674	2.408	3.347	47.225	0.719	14.101	45.023
果实形状 Fruit shape	8.046	12.382^**	83.068	0.990	1.523	10.221	0.650	6.711	89.044
果实颜色 Fruit color	4.449	4.878^**	61.655	1.855	2.033	25.707	0.912	12.639	70.574
平均单果质量 Average fruit mass	8.552	11.592^**	92.046	0.001	0.001	0.011	0.738	7.943	99.988
鲜出籽率 Fresh seed yield	3.829	3.912^**	68.510	0.781	0.798	13.974	0.979	17.517	83.059
种皮颜色 Testa color	5.723	7.615^**	45.522	6.097	8.113^**	48.497	0.752	5.982	48.418
种仁含油率 Seed kernel oil content	6.963	10.945^**	66.371	2.892	4.546^*	27.566	0.636	6.062	70.654
油酸含量 Oleic acid content	2.906	3.013^**	25.309	7.612	7.893^**	66.295	0.964	8.396	27.629
亚油酸含量 Linoleic acid content	4.472	7.417^**	25.444	12.501	20.736	71.125	0.603	3.431	26.348
亚麻酸含量 Linolenic acid content	5.759	7.298^**	51.720	4.587	5.813^*	41.194	0.789	7.086	55.664
硬脂酸含量 Stearic acid content	3.510	5.517^**	59.979	1.706	2.681	29.152	0.636	10.868	67.293
棕榈酸含量 Palmitic acid content	4.545	10.749^**	91.210	0.015	0.036	0.301	0.423	8.489	99.671
饱和脂肪酸含量 Saturated fatty acid content	2.720	2.715^**	59.350	0.861	0.859	18.787	1.002	21.863	75.956
不饱和脂肪酸含量 Unsaturated fatty acid content	2.710	6.936^**	75.487	0.489	1.253	13.621	0.391	10.891	84.714
盛花期 Prime flowering period	15.932	27.966^**	64.452	8.217	14.424^**	33.242	0.570	2.306	65.974
果熟期 Fruit ripening period	9.268	12.398^**	15.903	48.262	64.558^**	82.813	0.748	1.284	16.110

表2 普通油茶良种资源表型性状方差分量及群体间表型分化系数

表3 普通油茶良种资源13个数量性状的相关性分析

表4 不同类群普通油茶良种资源表型性状的均值

图1 普通油茶良种资源13个数量性状的PCA特征值、贡献率和累计贡献率

图2 560份普通油茶良种资源基于12个数量性状的聚类分析

图3 普通油茶良种资源平均单果质量、种仁含油率、饱和脂肪酸含量、不饱和脂肪酸含量性状与纬度的相关性分析

图4 普通油茶种仁含油率、饱和脂肪酸含量、不饱和脂肪酸含量、平均单果质量性状与环境气候变量的相关性分析

表5 环境因子与普通油茶良种资源13个数量性状的相关性分析

1	QUAN W X, WANG A P, GAO C, et al. Applications of Chinese Camellia oleifera and its by-products: a review[J]. Frontiers in Chemistry, 2022, 10: 921246. DOI: 10.3389/fchem.2022.921246 doi: 10.3389/fchem.2022.921246
2	秦声远,戎俊,张文驹,等.油茶栽培历史与长江流域油茶遗传资源[J].生物多样性,2018,26(4):384-395. DOI:10.17520/biods.2017254 QIN S Y, RONG J, ZHANG W J, et al. Cultivation history of Camellia oleifera and genetic resources in the Yangtze River Basin[J]. Biodiversity Science, 2018, 26(4): 384-395. (in Chinese with English abstract) doi: 10.17520/biods.2017254
3	ZHANG F, ZHU F, CHEN B L, et al. Composition, bioactive substances, extraction technologies and the influences on characteristics of Camellia oleifera oil: a review[J]. Food Research International, 2022, 156: 111159. DOI: 10.1016/j.foodres.2022.111159 doi: 10.1016/j.foodres.2022.111159
4	谭晓风.油茶分子育种研究进展[J].中南林业科技大学学报,2023,43(1):1-24. DOI:10.14067/j.cnki.1673-923x.2023.01.001 TAN X F. Advances in the molecular breeding of Camellia oleifera [J]. Journal of Central South University of Forestry & Technology, 2023, 43(1): 1-24. (in Chinese with English abstract) doi: 10.14067/j.cnki.1673-923x.2023.01.001
5	LIN P, YIN H F, YAN C, et al. Association genetics identifies single nucleotide polymorphisms related to kernel oil content and quality in Camellia oleifera [J]. Journal of Agricultural and Food Chemistry, 2019, 67(9): 2547-2562. DOI: 10.1021/acs.jafc.8b03399 doi: 10.1021/acs.jafc.8b03399
6	LUAN F, ZENG J S, YANG Y, et al. Recent advances in Camellia oleifera Abel: a review of nutritional constituents, biofunctional properties, and potential industrial applications[J]. Journal of Functional Foods, 2020, 75: 104242. DOI: 10.1016/j.jff.2020.104242 doi: 10.1016/j.jff.2020.104242
7	孔庆博,姜惠,郭春雨,等.油茶主要化学成分及药理活性研究进展[J].中国粮油学报,2022,37(4):194-202. DOI:10.3969/j.issn.1003-0174.2022.04.029 KONG Q B, JIANG H, GUO C Y, et al. Research progress on main chemical constituents and pharmacological activities of Camellia oleifera [J]. Journal of the Chinese Cereals and Oils Association, 2022, 37(4): 194-202. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-0174.2022.04.029
8	GAO J, MA L, MA J, et al. Camellia (Camellia oleifera Abel.) seed oil regulating of metabolic phenotype and alleviates dyslipidemia in high fat-fed mice through serum branch-chain amino acids[J]. Nutrients, 2022, 14(12): 2424. DOI: 10.3390/nu14122424 doi: 10.3390/nu14122424
9	杨嵘,邱赛红,杨蓉,等.油茶籽的食用和药用价值研究进展[J].世界科学技术—中医药现代化,2019,21(12):2770-2774. DOI:10.11842/wst.20190311001 YANG R, QIU S H, YANG R, et al. Research progress of edible and medicinal value of Camellia oleifera seeds[J]. Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology, 2019, 21(12): 2770-2774. (in Chinese with English abstract) doi: 10.11842/wst.20190311001
10	YE C R, HE Z L, PENG J Y, et al. Genomic and genetic advances of oiltea—camellia (Camellia oleifera)[J]. Frontiers in Plant Science, 2023, 14: 1101766. DOI: 10.3389/fpls.2023.1101766 doi: 10.3389/fpls.2023.1101766
11	陈永忠.我国油茶科技进展与未来核心技术[J].中南林业科技大学学报,2023,43(7):1-22. DOI:10.14067/j.cnki.1673-923x.2023.07.001 CHEN Y Z. Scientific and technological progress and future core technologies of oil tea Camellia in China[J]. Journal of Central South University of Forestry & Technology, 2023, 43(7): 1-22. (in Chinese with English abstract) doi: 10.14067/j.cnki.1673-923x.2023.07.001
12	陈丰林,谢海,游昌乔,等.我国油茶资源研究与开发利用现状及展望[J].生命科学研究,2021,25(5):425-431. DOI:10.16605/j.cnki.1007-7847.2021.08.0205 CHEN F L, XIE H, YOU C Q, et al. Current situation and prospect of research, development and utilization of Camellia oleifera resources in China[J]. Life Science Research, 2021, 25(5): 425-431. (in Chinese with English abstract) doi: 10.16605/j.cnki.1007-7847.2021.08.0205
13	陈永忠.油茶优良种质资源[M].北京:中国林业出版社,2008. CHEN Y Z. Oil Tea Camellia Superior Germplasm Resources[M]. Beijing: China Forestry Publishing House, 2008. (in Chinese)
14	国家林业局国有林场和林木种苗工作总站.中国油茶品种志[M].北京:中国林业出版社,2016. State Forestry Administration. General Station for State-owned Forest Farms and Forest Tree Seedling Work. Oil-tea Camellia Cultivars in China [M]. Beijing: China Forestry Publishing House, 2016. (in Chinese)
15	姚小华,任华东.中国油茶遗传资源[M].北京:科学出版社,2020. YAO X H, REN H D. Oil-tea Camellia Genetic Resource in China [M]. Beijing: Science Press, 2020. (in Chinese)
16	谭晓风,袁军,刘繁灯.油茶栽培品种应用技术[M].北京:中国林业出版社,2020. TAN X F, YUAN J, LIU F D. Oil-tea Camellia Cultivars Application Technology [M]. Beijing: China Forestry Publishing House, 2020. (in Chinese)
17	龚守富,朱赞彬.6个油茶果实经济性状及茶油品质比较分析[J].森林工程,2022,38(3):40-46. DOI:10.16270/j.cnki.slgc.2022.03.003 GONG S F, ZHU Z B. Comparative analysis of economic characters and tea oil quality of six Camellia oleifera varieties[J]. Forest Engineering, 2022, 38(3): 40-46. (in Chinese with English abstract) doi: 10.16270/j.cnki.slgc.2022.03.003
18	杨雨晨,陈娟娟,姚小华,等.50个普通油茶果实性状综合评价[J].中国粮油学报,2022,37(12):175-182. DOI:10.20048/j.cnki.issn.1003-0174.000491 YANG Y C, CHEN J J, YAO X H, et al. Comprehensive evaluation of fruit quality of 50 varieties of Camellia oleifera [J]. Journal of the Chinese Cereals and Oils Association, 2022, 37(12): 175-182. (in Chinese with English abstract) doi: 10.20048/j.cnki.issn.1003-0174.000491
19	崔相艳,王文娟,杨小强,等.基于生态位模型预测野生油茶的潜在分布[J].生物多样性,2016,24(10):1117-1128. DOI:10.17520/biods.2016164 CUI X Y, WANG W J, YANG X Q, et al. Potential distribution of wild Camellia oleifera based on ecological niche modeling[J]. Biodiversity Science, 2016, 24(10): 1117-1128. (in Chinese with English abstract) doi: 10.17520/biods.2016164
20	吴昊,苏万龙,石美娟,等.枣种质果实性状多样性分析与综合评价[J].植物遗传资源学报,2022,23(6):1613-1625. DOI:10.13430/j.cnki.jpgr.20220417001 WU H, SU W L, SHI M J, et al. Diversity analysis and comprehensive evaluation of jujube fruit traits[J]. Journal of Plant Genetic Resources, 2022, 23(6): 1613-1625. (in Chinese with English abstract) doi: 10.13430/j.cnki.jpgr.20220417001
21	刘艺平,吴芳芳,贺丹,等.基于花色表型的荷花品种数量分类[J].浙江大学学报(农业与生命科学版),2020,46(3):319-326. DOI:10.3785/j.issn.1008-9209.2019.07.151 LIU Y P, WU F F, HE D, et al. Numerical classification of lotus cultivars based on flower color phenotype[J]. Journal of Zhejiang University (Agriculture and Life Sciences), 2020, 46(3): 319-326. (in Chinese with English abstract) doi: 10.3785/j.issn.1008-9209.2019.07.151
22	李赢,刘海翠,石晓旭,等.398份裸大麦种质资源表型性状遗传多样性分析[J].植物遗传资源学报,2023,24(5):1311-1320. DOI:10.13430/j.cnki.jpgr.20230301002 LI Y, LIU H C, SHI X X, et al. Phenotypic diversity analysis of 398 naked barley germplasm resources[J]. Journal of Plant Genetic Resources, 2023, 24(5): 1311-1320. (in Chinese with English abstract) doi: 10.13430/j.cnki.jpgr.20230301002
23	郑福顺,王晓敏,李国花,等.基于表型性状的宁夏番茄种质资源核心种质构建[J].浙江大学学报(农业与生命科学版),2021,47(2):171-181. DOI:10.3785/j.issn.1008-9209.2020.08.141 ZHENG F S, WANG X M, LI G H, et al. Core collection construction of Ningxia tomato germplasm resources based on phenotypic traits[J]. Journal of Zhejiang University (Agriculture and Life Sciences), 2021, 47(2): 171-181. (in Chinese with English abstract) doi: 10.3785/j.issn.1008-9209.2020.08.141
24	CHEN T, LIU L, ZHOU Y L, et al. Characterization and comprehensive evaluation of phenotypic characters in wild Camellia oleifera germplasm for conservation and breeding[J]. Frontiers in Plant Science, 2023, 14: 1052890. DOI: 10.3389/fpls.2023.1052890 doi: 10.3389/fpls.2023.1052890
25	郭书娟,许亚东,黄进勇.基于熵权TOPSIS模型的农业绿色发展水平评价:以河南省为例[J].浙江大学学报(农业与生命科学版),2023. GUO S J, XU Y D, HUANG J Y. Evaluation of agricultural green development level based on entropy-weighted TOPSIS model: a case study of Henan Province[J]. Journal of Zhejiang University (Agriculture and Life Sciences), 2023. (in Chinese with English abstract)
26	葛颂,王明庥,陈岳武.用同工酶研究马尾松群体的遗传结构[J].林业科学,1988,24,(4):399-409. GE S, WANG M X, CHEN Y W. Study on genetic structure of masson pine population by isozyme technique[J]. Scientia Silvae Sinicae, 1988, 24(4): 399-409. (in Chinese)
27	江锡兵,龚榜初,刘庆忠,等.中国板栗地方品种重要农艺性状的表型多样性[J].园艺学报,2014,41(4):641-652. DOI:10.16420/j.issn.0513-353x.2014.04.008 JIANG X B, GONG B C, LIU Q Z, et al. Phenotypic diversity of important agronomic traits of local cultivars of Chinese chestnut[J]. Acta Horticulturae Sinica, 2014, 41(4): 641-652. (in Chinese with English abstract) doi: 10.16420/j.issn.0513-353x.2014.04.008
28	董胜君,王若溪,张皓凯,等.不同种源东北杏果实表型性状多样性分析[J].植物资源与环境学报,2020,29(6):42-50. DOI:10.3969/j.issn.1674-7895.2020.06.05 DONG S J, WANG R X, ZHANG H K, et al. Analysis on diversity of fruit phenotypic characters of Armeniaca mandshurica from different provenances[J]. Journal of Plant Resources and Environment, 2020, 29(6): 42-50. (in Chinese with English abstract) doi: 10.3969/j.issn.1674-7895.2020.06.05
29	ZHANG M, BARG R, YIN M G, et al. Modulated fatty acid desaturation via overexpression of two distinct ω-3 desatu-rases differentially alters tolerance to various abiotic stresses in transgenic tobacco cells and plants[J]. The Plant Journal, 2005, 44(3): 361-371. DOI: 10.1111/j.1365-313X.2005.02536.x doi: 10.1111/j.1365-313X.2005.02536.x

[1]	附图1	Download
[2]	附表2	Download
[3]	附表3	Download
[4]	附表4	Download
[5]	附表5	Download
[6]	附表6	Download
[7]	附表7	Download
[8]	附表8	Download
[9]	附表9	Download

[1]	郭书娟,许亚东,黄进勇. 基于熵权TOPSIS模型的农业绿色发展水平评价[J]. 浙江大学学报（农业与生命科学版）, 2024, 50(2): 221-230.
[2]	王罗其,傅伟军,叶正钱,马闪闪,丁立忠,赵科理. 基于地理信息系统和遥感技术的山核桃产区林地土壤质量退化评价[J]. 浙江大学学报（农业与生命科学版）, 2022, 48(2): 216-226.
[3]	郑福顺,王晓敏,李国花,李洪磊,周鹏泽,王林,白圣懿,刘珮君,张雪艳,胡新华,付金军,高艳明,李建设. 基于表型性状的宁夏番茄种质资源核心种质构建[J]. 浙江大学学报（农业与生命科学版）, 2021, 47(2): 171-181.
[4]	张晓玮, 龚雪梅, 李琳, 周志翔, 柳丹. 基于层次分析法的皖北地区引种的彩叶植物综合评价[J]. 浙江大学学报（农业与生命科学版）, 2018, 44(5): 580-587.
[5]	骆健民　郑文钟　何勇　. 浙江省农业机械化发展水平评价 [J]. 浙江大学学报(农业与生命科学版), 2007, 33(2): 217-221.
[6]	徐卫国　张清宇　魏玉梅　丁峰. 大气污染物达标排放阈值模型的建立与应用[J]. 浙江大学学报(农业与生命科学版), 2006, 32(6): 687-692.
[7]	方萍　谢锦良. 水稻土养分状况的综合评价 [J]. 浙江大学学报(农业与生命科学版), 2004, 30(1): 17-21.
[8]	门宝辉　梁川. 属性识别方法在水资源系统可持续发展程度综合评价中的应用 [J]. 浙江大学学报(农业与生命科学版), 2002, 28(6): 675-678.
[9]	吕苏丹　汪光宇　邬亚浪　史舟　王珂. 东阳万亩园区土壤养分综合评价研究[J]. 浙江大学学报(农业与生命科学版), 2002, 28(3): 272-276.

Viewed

Full text

Abstract

Cited

Shared

Discussed