浙江农业学报 ›› 2022, Vol. 34 ›› Issue (9): 1877-1888.DOI: 10.3969/j.issn.1004-1524.2022.09.07
郑福顺1(), 王晓敏1,2,3,4,*(
), 李国花1, 李洪磊1, 刘珮君1, 胡新华5, 付金军5
收稿日期:
2021-12-08
出版日期:
2022-09-25
发布日期:
2022-09-30
通讯作者:
王晓敏
作者简介:
*王晓敏,E-mail: wangxiaomin_1981@163.com基金资助:
ZHENG Fushun1(), WANG Xiaomin1,2,3,4,*(
), LI Guohua1, LI Honglei1, LIU Peijun1, HU Xinhua5, FU Jinjun5
Received:
2021-12-08
Online:
2022-09-25
Published:
2022-09-30
Contact:
WANG Xiaomin
摘要:
为筛选出较优的核心种质构建策略,基于前期调查的480份番茄种质资源的20个表型性状数据,依次对8个系统聚类法和5个不同的抽样比例分别进行对比;在此基础上对2个遗传距离、排名前二的抽样比例、3个抽样方法和排名前二的系统聚类法进行组合试验,并对所构建的24个核心种质进行代表性评价。结果表明,系统聚类法的排序为离差平方和法>可变法>最长距离法>可变类平均法>中间距离法>最短距离法>类平均法;抽样比例排序为15%>30%>25%>20%>10%;组合试验最佳的构建方法是:遗传距离为马氏距离,抽样比例为15%,抽样方法为偏离度取样法,系统聚类法为离差平方和法。研究结果为构建核心种质提供了最优构建策略,为宁夏地区番茄种质资源的核心种质构建与相关研究提供了理论依据和技术支持。
中图分类号:
郑福顺, 王晓敏, 李国花, 李洪磊, 刘珮君, 胡新华, 付金军. 宁夏地区番茄种质资源核心种质构建策略[J]. 浙江农业学报, 2022, 34(9): 1877-1888.
ZHENG Fushun, WANG Xiaomin, LI Guohua, LI Honglei, LIU Peijun, HU Xinhua, FU Jinjun. Construction strategy of core collections of tomato germplasm resources in Ningxia, China[J]. Acta Agriculturae Zhejiangensis, 2022, 34(9): 1877-1888.
构建方法 Construction methods | 遗传距离 Genetic distance | 抽样比例 Sampling proportions | 抽样方法 Sampling methods | 系统聚类法 Clustering methods |
---|---|---|---|---|
C1 | 欧氏距离Eulidean distance | a | 随机取样法Random sampling | A |
C2 | 欧氏距离Eulidean distance | a | 随机取样法Random sampling | B |
C3 | 欧氏距离Eulidean distance | a | 优先取样法Preferred sampling | A |
C4 | 欧氏距离Eulidean distance | a | 优先取样法Preferred sampling | B |
C5 | 欧氏距离Eulidean distance | a | 偏离度取样法Deviation sampling | A |
C6 | 欧氏距离Eulidean distance | a | 偏离度取样法Deviation sampling | B |
C7 | 欧氏距离Eulidean distance | b | 随机取样法Random sampling | A |
C8 | 欧氏距离Eulidean distance | b | 随机取样法Random sampling | B |
C9 | 欧氏距离Eulidean distance | b | 优先取样法Preferred sampling | A |
C10 | 欧氏距离Eulidean distance | b | 优先取样法Preferred sampling | B |
C11 | 欧氏距离Eulidean distance | b | 偏离度取样法Deviation sampling | A |
C12 | 欧氏距离Eulidean distance | b | 偏离度取样法Deviation sampling | B |
C13 | 马氏距离Mahalanobis distance | a | 随机取样法Random sampling | A |
C14 | 马氏距离Mahalanobis distance | a | 随机取样法Random sampling | B |
C15 | 马氏距离Mahalanobis distance | a | 优先取样法Preferred sampling | A |
C16 | 马氏距离Mahalanobis distance | a | 优先取样法Preferred sampling | B |
C17 | 马氏距离Mahalanobis distance | a | 偏离度取样法Deviation sampling | A |
C18 | 马氏距离Mahalanobis distance | a | 偏离度取样法Deviation sampling | B |
C19 | 马氏距离Mahalanobis distance | b | 随机取样法Random sampling | A |
C20 | 马氏距离Mahalanobis distance | b | 随机取样法Random sampling | B |
C21 | 马氏距离Mahalanobis distance | b | 优先取样法Preferred sampling | A |
C22 | 马氏距离Mahalanobis distance | b | 优先取样法Preferred sampling | B |
C23 | 马氏距离Mahalanobis distance | b | 偏离度取样法Deviation sampling | A |
C24 | 马氏距离Mahalanobis distance | b | 偏离度取样法Deviation sampling | B |
表1 核心种质不同构建方法信息表
Table 1 Information table of different construction methods of core collections
构建方法 Construction methods | 遗传距离 Genetic distance | 抽样比例 Sampling proportions | 抽样方法 Sampling methods | 系统聚类法 Clustering methods |
---|---|---|---|---|
C1 | 欧氏距离Eulidean distance | a | 随机取样法Random sampling | A |
C2 | 欧氏距离Eulidean distance | a | 随机取样法Random sampling | B |
C3 | 欧氏距离Eulidean distance | a | 优先取样法Preferred sampling | A |
C4 | 欧氏距离Eulidean distance | a | 优先取样法Preferred sampling | B |
C5 | 欧氏距离Eulidean distance | a | 偏离度取样法Deviation sampling | A |
C6 | 欧氏距离Eulidean distance | a | 偏离度取样法Deviation sampling | B |
C7 | 欧氏距离Eulidean distance | b | 随机取样法Random sampling | A |
C8 | 欧氏距离Eulidean distance | b | 随机取样法Random sampling | B |
C9 | 欧氏距离Eulidean distance | b | 优先取样法Preferred sampling | A |
C10 | 欧氏距离Eulidean distance | b | 优先取样法Preferred sampling | B |
C11 | 欧氏距离Eulidean distance | b | 偏离度取样法Deviation sampling | A |
C12 | 欧氏距离Eulidean distance | b | 偏离度取样法Deviation sampling | B |
C13 | 马氏距离Mahalanobis distance | a | 随机取样法Random sampling | A |
C14 | 马氏距离Mahalanobis distance | a | 随机取样法Random sampling | B |
C15 | 马氏距离Mahalanobis distance | a | 优先取样法Preferred sampling | A |
C16 | 马氏距离Mahalanobis distance | a | 优先取样法Preferred sampling | B |
C17 | 马氏距离Mahalanobis distance | a | 偏离度取样法Deviation sampling | A |
C18 | 马氏距离Mahalanobis distance | a | 偏离度取样法Deviation sampling | B |
C19 | 马氏距离Mahalanobis distance | b | 随机取样法Random sampling | A |
C20 | 马氏距离Mahalanobis distance | b | 随机取样法Random sampling | B |
C21 | 马氏距离Mahalanobis distance | b | 优先取样法Preferred sampling | A |
C22 | 马氏距离Mahalanobis distance | b | 优先取样法Preferred sampling | B |
C23 | 马氏距离Mahalanobis distance | b | 偏离度取样法Deviation sampling | A |
C24 | 马氏距离Mahalanobis distance | b | 偏离度取样法Deviation sampling | B |
构建方法 Construction methods | 均值差异百分率 Mean difference percentage | 方差差异百分率 Percentage of variance difference | 极差符合率 Coincidence rate of range | 变异系数变化率 Variable rate of coefficient of variation |
---|---|---|---|---|
CX1 | 10.00 | 10.00 | 93.46 | 100.85 |
CX2 | 0 | 15.00 | 92.22 | 109.97 |
CX3 | 5.00 | 35.00 | 91.52 | 111.8 |
CX4 | 40.00 | 45.00 | 94.86 | 119.25 |
CX5 | 0 | 5.00 | 92.44 | 108.49 |
CX6 | 0 | 10.00 | 90.94 | 104.53 |
CX7 | 0 | 15.00 | 91.34 | 106.58 |
CX8 | 0 | 15.00 | 93.66 | 109.07 |
表2 不同系统聚类法构建的核心种质与原始群体差异百分率
Table 2 Percentage difference between core collections and initial population constructed by different clustering methods %
构建方法 Construction methods | 均值差异百分率 Mean difference percentage | 方差差异百分率 Percentage of variance difference | 极差符合率 Coincidence rate of range | 变异系数变化率 Variable rate of coefficient of variation |
---|---|---|---|---|
CX1 | 10.00 | 10.00 | 93.46 | 100.85 |
CX2 | 0 | 15.00 | 92.22 | 109.97 |
CX3 | 5.00 | 35.00 | 91.52 | 111.8 |
CX4 | 40.00 | 45.00 | 94.86 | 119.25 |
CX5 | 0 | 5.00 | 92.44 | 108.49 |
CX6 | 0 | 10.00 | 90.94 | 104.53 |
CX7 | 0 | 15.00 | 91.34 | 106.58 |
CX8 | 0 | 15.00 | 93.66 | 109.07 |
性状 Traits | 参数 Parameter | 原群体 Initial population | 构建方法Construction methods | ||||||
---|---|---|---|---|---|---|---|---|---|
CX1 | CX2 | CX3 | CX5 | CX6 | CX7 | CX8 | |||
1 | 均值Mean | 6.49 | 6.50 | 6.63 | 6.52 | 6.60 | 6.56 | 6.58 | 6.58 |
方差Variance | 0.65 | 0.94 | 0.79 | 0.73 | 1.48* | 0.63 | 0.63 | 0.63 | |
变异系数CV | 12.43 | 14.89 | 13.44 | 13.04 | 18.42* | 12.13 | 12.07 | 12.07 | |
2 | 均值Mean | 151.61 | 150.88 | 145.40 | 142.83 | 109.28* | 141.10 | 146.32 | 145.76 |
方差Variance | 3 688.79 | 3 817.41 | 4 893.83 | 5 460.42* | 6 462.94** | 3 949.25 | 4 567.26 | 4 974.95 | |
变异系数CV | 40.06 | 40.95 | 48.11 | 51.74 | 73.57 | 44.54 | 46.19 | 48.39 | |
3 | 均值Mean | 27.26 | 26.25 | 25.62 | 25.07 | 21.87** | 26.79 | 26.67 | 26.06 |
方差Variance | 55.83 | 56.38 | 74.28 | 89.62** | 97.94** | 78.25* | 75.65 | 73.88 | |
变异系数CV | 27.41 | 28.61 | 33.64 | 37.76 | 45.25 | 33.02 | 32.61 | 32.98 | |
4 | 均值Mean | 11.96 | 12.09 | 11.80 | 10.86* | 10.04 | 11.85 | 11.81 | 11.41 |
方差Variance | 10.94 | 9.31 | 13.23 | 13.28 | 19.94* | 11.03 | 11.30 | 11.28 | |
变异系数CV | 27.64 | 25.23 | 30.82 | 33.54 | 44.47 | 28.04 | 28.47 | 29.43 | |
5 | 均值Mean | 55.91 | 55.98 | 54.02 | 53.59 | 47.97* | 55.52 | 55.30 | 54.57 |
方差Variance | 117.06 | 115.19 | 171.09* | 152.46 | 243.06* | 132.68 | 120.44 | 178.02* | |
变异系数CV | 19.35 | 19.17 | 24.21 | 23.04 | 32.50 | 20.75 | 19.84 | 24.45 | |
6 | 均值Mean | 64.02 | 65.76 | 61.87 | 60.60 | 54.00* | 63.41 | 63.81 | 62.23 |
方差Variance | 223.59 | 149.86* | 289.37 | 282.65 | 452.54** | 260.20 | 241.83 | 277.60 | |
变异系数CV | 23.36 | 18.61 | 27.49 | 27.74 | 39.40 | 25.44 | 24.37 | 26.77 | |
7 | 均值Mean | 3.07 | 3.12 | 2.94 | 3.03 | 2.93* | 3.07 | 3.01 | 3.03 |
方差Variance | 0.30 | 0.38 | 0.38 | 0.37 | 0.46 | 0.34 | 0.35 | 0.38 | |
变异系数CV | 17.93 | 19.80 | 20.92 | 20.03 | 23.07 | 19.10 | 19.65 | 20.46 | |
8 | 均值Mean | 6.23 | 6.02 | 6.44 | 6.51 | 6.99 | 6.32 | 6.50 | 6.33 |
方差Variance | 2.03 | 1.70 | 2.30 | 2.29 | 3.67** | 1.90 | 2.86* | 2.49 | |
变异系数CV | 22.87 | 21.67 | 23.56 | 23.26 | 27.40 | 21.84 | 26.05 | 24.97 | |
9 | 均值Mean | 4.65 | 4.58 | 4.52 | 4.52 | 3.98 | 4.60 | 4.54 | 4.41 |
方差Variance | 1.65 | 1.65 | 2.04 | 2.72 | 2.79** | 2.12 | 1.70 | 1.70 | |
变异系数CV | 27.61 | 28.05 | 31.61 | 36.50 | 41.93 | 31.60 | 28.71 | 29.48 | |
10 | 均值Mean | 7.05 | 7.11 | 6.85 | 6.65 | 6.09* | 6.86 | 6.88 | 6.63 |
方差Variance | 2.42 | 1.96 | 3.29 | 3.68* | 4.38** | 2.72 | 2.69 | 2.70 | |
变异系数CV | 22.05 | 19.70 | 26.47 | 28.84 | 34.40 | 24.03 | 23.84 | 24.80 | |
11 | 均值Mean | 7.05 | 6.77 | 7.00 | 7.23 | 7.00 | 7.02 | 7.15 | 7.06 |
方差Variance | 1.10 | 1.46 | 1.36 | 1.45 | 1.66 | 1.21 | 1.74** | 1.59* | |
变异系数CV | 14.87 | 17.83 | 16.67 | 16.70 | 18.40 | 15.68 | 18.48 | 17.84 | |
12 | 均值Mean | 6.38 | 6.21 | 7.08 | 7.23 | 8.71 | 6.63 | 6.48 | 6.85 |
方差Variance | 12.70 | 11.70 | 20.03* | 19.33* | 29.49 | 13.43 | 14.77 | 19.28* | |
变异系数CV | 55.85 | 55.10 | 63.19 | 60.82 | 62.34 | 55.32 | 59.31 | 64.06 | |
13 | 均值Mean | 2.17 | 2.18 | 2.18 | 2.18 | 2.25* | 2.17 | 2.18 | 2.18 |
方差Variance | 0.02 | 0.02 | 0.02 | 0.02 | 0.03** | 0.02 | 0.02 | 0.02 | |
变异系数CV | 6.31 | 7.09 | 6.58 | 6.61 | 7.94 | 6.35 | 7.02 | 7.18 | |
14 | 均值Mean | 2.47 | 2.44 | 2.44 | 2.52 | 2.46 | 2.52 | 2.48 | 2.40 |
方差Variance | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.24 | |
变异系数CV | 20.20 | 20.57 | 20.57 | 20.03 | 20.49 | 20.03 | 20.60 | 20.63 | |
15 | 均值Mean | 2.49 | 2.60 | 2.40 | 2.48 | 2.56 | 2.48 | 2.52 | 2.56 |
方差Variance | 0.27 | 0.33 | 0.29 | 0.30 | 0.34 | 0.30 | 0.34 | 0.29 | |
变异系数CV | 20.92 | 22.04 | 22.35 | 22.00 | 22.36 | 22.00 | 23.13 | 21.16 | |
16 | 均值Mean | 0.16 | 0.21 | 0.15 | 0.21 | 0.21 | 0.15 | 0.21 | 0.19 |
方差Variance | 0.14 | 0.17 | 0.13 | 0.17 | 0.17 | 0.13 | 0.17 | 0.16 | |
变异系数CV | 229.38 | 197.00 | 244.58 | 197.00 | 195.24 | 244.58 | 197.00 | 210.37 | |
17 | 均值Mean | 4.34 | 4.02* | 4.19 | 4.21 | 4.06 | 4.23 | 4.15 | 4.25 |
方差Variance | 0.59 | 1.04** | 0.88* | 0.93* | 0.83* | 0.90* | 0.94* | 0.83* | |
变异系数CV | 17.74 | 25.39 | 22.39 | 22.97 | 22.39 | 22.48 | 23.33 | 21.43 | |
18 | 均值Mean | 0.15 | 0.17 | 0.19 | 0.19 | 0.19 | 0.19 | 0.17 | 0.19 |
方差Variance | 0.13 | 0.14 | 0.16 | 0.16 | 0.16 | 0.16 | 0.14 | 0.16 | |
变异系数CV | 239.33 | 225.97 | 210.37 | 210.37 | 207.37 | 210.37 | 225.97 | 210.37 | |
19 | 均值Mean | 1.02 | 3.40* | 1.68 | 1.73 | 1.26 | 1.89 | 1.91 | 1.53 |
方差Variance | 14.65 | 60.54** | 26.77** | 31.23** | 25.13 | 32.66** | 29.81** | 29.28** | |
变异系数CV | 376.1 | 229.18 | 307.64 | 322.21 | 397.20 | 303.03 | 286.12 | 353.77 | |
20 | 均值Mean | 2.81 | 2.81 | 2.81 | 2.88 | 3.17 | 2.81 | 2.85 | 2.81 |
方差Variance | 0.77 | 0.79 | 0.75 | 0.96 | 1.21* | 0.88 | 1.02 | 0.88 | |
变异系数CV | 31.25 | 31.68 | 30.82 | 34.13 | 34.64 | 33.33 | 35.40 | 33.33 |
表3 不同系统聚类法构建的核心种质与原始群体差异比较
Table 3 Comparison of differences between core collections and initial population constructed by different clustering methods
性状 Traits | 参数 Parameter | 原群体 Initial population | 构建方法Construction methods | ||||||
---|---|---|---|---|---|---|---|---|---|
CX1 | CX2 | CX3 | CX5 | CX6 | CX7 | CX8 | |||
1 | 均值Mean | 6.49 | 6.50 | 6.63 | 6.52 | 6.60 | 6.56 | 6.58 | 6.58 |
方差Variance | 0.65 | 0.94 | 0.79 | 0.73 | 1.48* | 0.63 | 0.63 | 0.63 | |
变异系数CV | 12.43 | 14.89 | 13.44 | 13.04 | 18.42* | 12.13 | 12.07 | 12.07 | |
2 | 均值Mean | 151.61 | 150.88 | 145.40 | 142.83 | 109.28* | 141.10 | 146.32 | 145.76 |
方差Variance | 3 688.79 | 3 817.41 | 4 893.83 | 5 460.42* | 6 462.94** | 3 949.25 | 4 567.26 | 4 974.95 | |
变异系数CV | 40.06 | 40.95 | 48.11 | 51.74 | 73.57 | 44.54 | 46.19 | 48.39 | |
3 | 均值Mean | 27.26 | 26.25 | 25.62 | 25.07 | 21.87** | 26.79 | 26.67 | 26.06 |
方差Variance | 55.83 | 56.38 | 74.28 | 89.62** | 97.94** | 78.25* | 75.65 | 73.88 | |
变异系数CV | 27.41 | 28.61 | 33.64 | 37.76 | 45.25 | 33.02 | 32.61 | 32.98 | |
4 | 均值Mean | 11.96 | 12.09 | 11.80 | 10.86* | 10.04 | 11.85 | 11.81 | 11.41 |
方差Variance | 10.94 | 9.31 | 13.23 | 13.28 | 19.94* | 11.03 | 11.30 | 11.28 | |
变异系数CV | 27.64 | 25.23 | 30.82 | 33.54 | 44.47 | 28.04 | 28.47 | 29.43 | |
5 | 均值Mean | 55.91 | 55.98 | 54.02 | 53.59 | 47.97* | 55.52 | 55.30 | 54.57 |
方差Variance | 117.06 | 115.19 | 171.09* | 152.46 | 243.06* | 132.68 | 120.44 | 178.02* | |
变异系数CV | 19.35 | 19.17 | 24.21 | 23.04 | 32.50 | 20.75 | 19.84 | 24.45 | |
6 | 均值Mean | 64.02 | 65.76 | 61.87 | 60.60 | 54.00* | 63.41 | 63.81 | 62.23 |
方差Variance | 223.59 | 149.86* | 289.37 | 282.65 | 452.54** | 260.20 | 241.83 | 277.60 | |
变异系数CV | 23.36 | 18.61 | 27.49 | 27.74 | 39.40 | 25.44 | 24.37 | 26.77 | |
7 | 均值Mean | 3.07 | 3.12 | 2.94 | 3.03 | 2.93* | 3.07 | 3.01 | 3.03 |
方差Variance | 0.30 | 0.38 | 0.38 | 0.37 | 0.46 | 0.34 | 0.35 | 0.38 | |
变异系数CV | 17.93 | 19.80 | 20.92 | 20.03 | 23.07 | 19.10 | 19.65 | 20.46 | |
8 | 均值Mean | 6.23 | 6.02 | 6.44 | 6.51 | 6.99 | 6.32 | 6.50 | 6.33 |
方差Variance | 2.03 | 1.70 | 2.30 | 2.29 | 3.67** | 1.90 | 2.86* | 2.49 | |
变异系数CV | 22.87 | 21.67 | 23.56 | 23.26 | 27.40 | 21.84 | 26.05 | 24.97 | |
9 | 均值Mean | 4.65 | 4.58 | 4.52 | 4.52 | 3.98 | 4.60 | 4.54 | 4.41 |
方差Variance | 1.65 | 1.65 | 2.04 | 2.72 | 2.79** | 2.12 | 1.70 | 1.70 | |
变异系数CV | 27.61 | 28.05 | 31.61 | 36.50 | 41.93 | 31.60 | 28.71 | 29.48 | |
10 | 均值Mean | 7.05 | 7.11 | 6.85 | 6.65 | 6.09* | 6.86 | 6.88 | 6.63 |
方差Variance | 2.42 | 1.96 | 3.29 | 3.68* | 4.38** | 2.72 | 2.69 | 2.70 | |
变异系数CV | 22.05 | 19.70 | 26.47 | 28.84 | 34.40 | 24.03 | 23.84 | 24.80 | |
11 | 均值Mean | 7.05 | 6.77 | 7.00 | 7.23 | 7.00 | 7.02 | 7.15 | 7.06 |
方差Variance | 1.10 | 1.46 | 1.36 | 1.45 | 1.66 | 1.21 | 1.74** | 1.59* | |
变异系数CV | 14.87 | 17.83 | 16.67 | 16.70 | 18.40 | 15.68 | 18.48 | 17.84 | |
12 | 均值Mean | 6.38 | 6.21 | 7.08 | 7.23 | 8.71 | 6.63 | 6.48 | 6.85 |
方差Variance | 12.70 | 11.70 | 20.03* | 19.33* | 29.49 | 13.43 | 14.77 | 19.28* | |
变异系数CV | 55.85 | 55.10 | 63.19 | 60.82 | 62.34 | 55.32 | 59.31 | 64.06 | |
13 | 均值Mean | 2.17 | 2.18 | 2.18 | 2.18 | 2.25* | 2.17 | 2.18 | 2.18 |
方差Variance | 0.02 | 0.02 | 0.02 | 0.02 | 0.03** | 0.02 | 0.02 | 0.02 | |
变异系数CV | 6.31 | 7.09 | 6.58 | 6.61 | 7.94 | 6.35 | 7.02 | 7.18 | |
14 | 均值Mean | 2.47 | 2.44 | 2.44 | 2.52 | 2.46 | 2.52 | 2.48 | 2.40 |
方差Variance | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.24 | |
变异系数CV | 20.20 | 20.57 | 20.57 | 20.03 | 20.49 | 20.03 | 20.60 | 20.63 | |
15 | 均值Mean | 2.49 | 2.60 | 2.40 | 2.48 | 2.56 | 2.48 | 2.52 | 2.56 |
方差Variance | 0.27 | 0.33 | 0.29 | 0.30 | 0.34 | 0.30 | 0.34 | 0.29 | |
变异系数CV | 20.92 | 22.04 | 22.35 | 22.00 | 22.36 | 22.00 | 23.13 | 21.16 | |
16 | 均值Mean | 0.16 | 0.21 | 0.15 | 0.21 | 0.21 | 0.15 | 0.21 | 0.19 |
方差Variance | 0.14 | 0.17 | 0.13 | 0.17 | 0.17 | 0.13 | 0.17 | 0.16 | |
变异系数CV | 229.38 | 197.00 | 244.58 | 197.00 | 195.24 | 244.58 | 197.00 | 210.37 | |
17 | 均值Mean | 4.34 | 4.02* | 4.19 | 4.21 | 4.06 | 4.23 | 4.15 | 4.25 |
方差Variance | 0.59 | 1.04** | 0.88* | 0.93* | 0.83* | 0.90* | 0.94* | 0.83* | |
变异系数CV | 17.74 | 25.39 | 22.39 | 22.97 | 22.39 | 22.48 | 23.33 | 21.43 | |
18 | 均值Mean | 0.15 | 0.17 | 0.19 | 0.19 | 0.19 | 0.19 | 0.17 | 0.19 |
方差Variance | 0.13 | 0.14 | 0.16 | 0.16 | 0.16 | 0.16 | 0.14 | 0.16 | |
变异系数CV | 239.33 | 225.97 | 210.37 | 210.37 | 207.37 | 210.37 | 225.97 | 210.37 | |
19 | 均值Mean | 1.02 | 3.40* | 1.68 | 1.73 | 1.26 | 1.89 | 1.91 | 1.53 |
方差Variance | 14.65 | 60.54** | 26.77** | 31.23** | 25.13 | 32.66** | 29.81** | 29.28** | |
变异系数CV | 376.1 | 229.18 | 307.64 | 322.21 | 397.20 | 303.03 | 286.12 | 353.77 | |
20 | 均值Mean | 2.81 | 2.81 | 2.81 | 2.88 | 3.17 | 2.81 | 2.85 | 2.81 |
方差Variance | 0.77 | 0.79 | 0.75 | 0.96 | 1.21* | 0.88 | 1.02 | 0.88 | |
变异系数CV | 31.25 | 31.68 | 30.82 | 34.13 | 34.64 | 33.33 | 35.40 | 33.33 |
构建方法 Construction methods | 均值差异百分率 Mean difference percentage | 方差差异百分率 Percentage of variance difference | 极差符合率 Coincidence rate of range | 变异系数变化率 Variable rate of coefficient of variation |
---|---|---|---|---|
CC1 | 10.00 | 10.00 | 93.46 | 100.85 |
CC2 | 5.00 | 15.00 | 96.08 | 104.02 |
CC3 | 10.00 | 10.00 | 96.75 | 104.47 |
CC4 | 10.00 | 25.00 | 97.86 | 107.98 |
CC5 | 10.00 | 15.00 | 97.91 | 107.03 |
表4 不同抽样比例构建的核心种质与原始群体差异百分率
Table 4 Percentage difference between core collections and initial population constructed by different sampling proportions %
构建方法 Construction methods | 均值差异百分率 Mean difference percentage | 方差差异百分率 Percentage of variance difference | 极差符合率 Coincidence rate of range | 变异系数变化率 Variable rate of coefficient of variation |
---|---|---|---|---|
CC1 | 10.00 | 10.00 | 93.46 | 100.85 |
CC2 | 5.00 | 15.00 | 96.08 | 104.02 |
CC3 | 10.00 | 10.00 | 96.75 | 104.47 |
CC4 | 10.00 | 25.00 | 97.86 | 107.98 |
CC5 | 10.00 | 15.00 | 97.91 | 107.03 |
性状 Traits | 参数 Parameter | 原群体 Initial population | 构建方法Construction methods | ||||
---|---|---|---|---|---|---|---|
CC1 | CC2 | CC3 | CC4 | CC5 | |||
1 | 均值Mean | 6.49 | 6.50 | 6.47 | 6.52 | 6.54 | 6.57 |
方差Variance | 0.65 | 0.94 | 0.84 | 0.80 | 0.77 | 0.72 | |
变异系数CV | 12.43 | 14.89 | 14.20 | 13.71 | 13.43 | 12.94 | |
2 | 均值Mean | 151.61 | 150.88 | 144.93 | 148.56 | 145.22 | 145.93 |
方差Variance | 3 688.79 | 3 817.41 | 4 005.99 | 4 222.39 | 4 834.52* | 4 643.68* | |
变异系数CV | 40.06 | 40.95 | 43.67 | 43.74 | 47.88 | 46.70 | |
3 | 均值Mean | 27.26 | 26.25 | 26.04 | 26.72 | 26.02 | 26.06 |
方差Variance | 55.83 | 56.38 | 66.44 | 72.22* | 77.91** | 75.57** | |
变异系数CV | 27.41 | 28.61 | 31.30 | 31.81 | 33.93 | 33.36 | |
4 | 均值Mean | 11.96 | 12.09 | 11.89 | 11.89 | 11.62 | 11.66 |
方差Variance | 10.94 | 9.31 | 10.04 | 10.59 | 12.16 | 11.99 | |
变异系数CV | 27.64 | 25.23 | 26.65 | 27.36 | 30.02 | 29.71 | |
5 | 均值Mean | 55.91 | 55.98 | 55.17 | 55.40 | 54.74 | 54.85 |
方差Variance | 117.06 | 115.19 | 122.80 | 114.11 | 129.72 | 127.68 | |
变异系数CV | 19.35 | 19.17 | 20.09 | 19.28 | 20.81 | 20.60 | |
6 | 均值Mean | 64.02 | 65.76 | 63.73 | 63.65 | 62.16 | 62.39 |
方差Variance | 223.59 | 149.86* | 213.95 | 208.15 | 258.97 | 256.31 | |
变异系数CV | 23.36 | 18.61 | 22.95 | 22.67 | 25.89 | 25.66 | |
7 | 均值Mean | 3.07 | 3.12 | 3.11 | 3.10 | 3.08 | 3.09 |
方差Variance | 0.30 | 0.38 | 0.38 | 0.38 | 0.39* | 0.38* | |
变异系数CV | 17.93 | 19.80 | 19.72 | 19.98 | 20.24 | 20.06 | |
8 | 均值Mean | 6.23 | 6.02 | 6.19 | 6.17 | 6.34 | 6.31 |
方差Variance | 2.03 | 1.70 | 2.15 | 2.09 | 2.33 | 2.24 | |
变异系数CV | 22.87 | 21.67 | 23.67 | 0.23 | 24.09 | 23.73 | |
9 | 均值Mean | 4.65 | 4.58 | 4.54 | 4.63 | 4.50 | 4.51 |
方差Variance | 1.65 | 1.65 | 1.72 | 1.86 | 2.00 | 1.96 | |
变异系数CV | 27.61 | 28.05 | 28.85 | 29.47 | 31.43 | 31.05 | |
10 | 均值Mean | 7.05 | 7.11 | 6.95 | 6.98 | 6.88 | 6.91 |
方差Variance | 2.42 | 1.96 | 2.30 | 2.50 | 2.94 | 2.80 | |
变异系数CV | 22.05 | 19.70 | 21.78 | 22.63 | 24.90 | 24.21 | |
11 | 均值Mean | 7.05 | 6.77 | 6.82 | 6.85 | 6.91 | 6.90 |
方差Variance | 1.10 | 1.46 | 1.50* | 1.39 | 1.46* | 1.41* | |
变异系数CV | 14.87 | 17.83 | 17.97 | 17.20 | 17.50 | 17.21 | |
12 | 均值Mean | 6.38 | 6.21 | 6.64 | 6.67 | 6.89 | 6.85 |
方差Variance | 12.70 | 11.70 | 14.68 | 14.50 | 15.68 | 15.75* | |
变异系数CV | 55.85 | 55.10 | 57.72 | 57.12 | 57.45 | 57.97 | |
13 | 均值Mean | 2.17 | 2.18 | 2.19 | 2.18 | 2.19 | 2.18 |
方差Variance | 0.02 | 0.02 | 0.03 | 0.02* | 0.03** | 0.03** | |
变异系数CV | 6.31 | 7.09 | 7.38 | 7.18 | 7.52 | 7.32 | |
14 | 均值Mean | 2.47 | 2.44 | 2.40 | 2.40 | 2.41 | 2.44 |
方差Variance | 0.25 | 0.25 | 0.24 | 0.24 | 0.24 | 0.25 | |
变异系数CV | 20.20 | 20.57 | 20.56 | 20.52 | 20.50 | 20.42 | |
15 | 均值Mean | 2.49 | 2.60 | 2.53 | 2.53 | 2.52 | 2.52 |
方差Variance | 0.27 | 0.33 | 0.31 | 0.29 | 0.29 | 0.28 | |
变异系数CV | 20.92 | 22.04 | 21.99 | 21.41 | 21.23 | 20.96 | |
16 | 均值Mean | 0.16 | 0.21 | 0.21 | 0.17 | 0.16 | 0.15 |
方差Variance | 0.14 | 0.17 | 0.17 | 0.14 | 0.13 | 0.13 | |
变异系数CV | 229.38 | 197.00 | 196.30 | 224.78 | 231.53 | 242.86 | |
17 | 均值Mean | 4.34 | 4.02* | 4.11 | 4.11* | 4.15* | 4.17* |
方差Variance | 0.59 | 1.04** | 0.92** | 0.84* | 0.78* | 0.76* | |
变异系数CV | 17.74 | 25.39 | 23.29 | 22.27 | 21.34 | 20.86 | |
18 | 均值Mean | 0.15 | 0.17 | 0.15 | 0.14 | 0.16 | 0.16 |
方差Variance | 0.13 | 0.14 | 0.13 | 0.12 | 0.13 | 0.14 | |
变异系数CV | 239.33 | 225.97 | 237.14 | 254.00 | 231.53 | 230.17 | |
19 | 均值Mean | 1.02 | 3.40* | 2.99* | 2.52* | 2.20* | 1.92* |
方差Variance | 14.65 | 60.54** | 47.61** | 39.82** | 33.54** | 28.73** | |
变异系数CV | 376.10 | 229.18 | 230.66 | 250.20 | 263.78 | 278.73 | |
20 | 均值Mean | 2.81 | 2.81 | 2.86 | 2.84 | 2.86 | 2.88 |
方差Variance | 0.77 | 0.79 | 0.83 | 0.83 | 0.88 | 0.90 | |
变异系数CV | 31.25 | 31.68 | 31.76 | 32.00 | 32.80 | 32.96 |
表5 不同抽样比例构建的核心种质与原始群体差异比较
Table 5 Comparison of differences between core collections and initial population constructed by different sampling proportions
性状 Traits | 参数 Parameter | 原群体 Initial population | 构建方法Construction methods | ||||
---|---|---|---|---|---|---|---|
CC1 | CC2 | CC3 | CC4 | CC5 | |||
1 | 均值Mean | 6.49 | 6.50 | 6.47 | 6.52 | 6.54 | 6.57 |
方差Variance | 0.65 | 0.94 | 0.84 | 0.80 | 0.77 | 0.72 | |
变异系数CV | 12.43 | 14.89 | 14.20 | 13.71 | 13.43 | 12.94 | |
2 | 均值Mean | 151.61 | 150.88 | 144.93 | 148.56 | 145.22 | 145.93 |
方差Variance | 3 688.79 | 3 817.41 | 4 005.99 | 4 222.39 | 4 834.52* | 4 643.68* | |
变异系数CV | 40.06 | 40.95 | 43.67 | 43.74 | 47.88 | 46.70 | |
3 | 均值Mean | 27.26 | 26.25 | 26.04 | 26.72 | 26.02 | 26.06 |
方差Variance | 55.83 | 56.38 | 66.44 | 72.22* | 77.91** | 75.57** | |
变异系数CV | 27.41 | 28.61 | 31.30 | 31.81 | 33.93 | 33.36 | |
4 | 均值Mean | 11.96 | 12.09 | 11.89 | 11.89 | 11.62 | 11.66 |
方差Variance | 10.94 | 9.31 | 10.04 | 10.59 | 12.16 | 11.99 | |
变异系数CV | 27.64 | 25.23 | 26.65 | 27.36 | 30.02 | 29.71 | |
5 | 均值Mean | 55.91 | 55.98 | 55.17 | 55.40 | 54.74 | 54.85 |
方差Variance | 117.06 | 115.19 | 122.80 | 114.11 | 129.72 | 127.68 | |
变异系数CV | 19.35 | 19.17 | 20.09 | 19.28 | 20.81 | 20.60 | |
6 | 均值Mean | 64.02 | 65.76 | 63.73 | 63.65 | 62.16 | 62.39 |
方差Variance | 223.59 | 149.86* | 213.95 | 208.15 | 258.97 | 256.31 | |
变异系数CV | 23.36 | 18.61 | 22.95 | 22.67 | 25.89 | 25.66 | |
7 | 均值Mean | 3.07 | 3.12 | 3.11 | 3.10 | 3.08 | 3.09 |
方差Variance | 0.30 | 0.38 | 0.38 | 0.38 | 0.39* | 0.38* | |
变异系数CV | 17.93 | 19.80 | 19.72 | 19.98 | 20.24 | 20.06 | |
8 | 均值Mean | 6.23 | 6.02 | 6.19 | 6.17 | 6.34 | 6.31 |
方差Variance | 2.03 | 1.70 | 2.15 | 2.09 | 2.33 | 2.24 | |
变异系数CV | 22.87 | 21.67 | 23.67 | 0.23 | 24.09 | 23.73 | |
9 | 均值Mean | 4.65 | 4.58 | 4.54 | 4.63 | 4.50 | 4.51 |
方差Variance | 1.65 | 1.65 | 1.72 | 1.86 | 2.00 | 1.96 | |
变异系数CV | 27.61 | 28.05 | 28.85 | 29.47 | 31.43 | 31.05 | |
10 | 均值Mean | 7.05 | 7.11 | 6.95 | 6.98 | 6.88 | 6.91 |
方差Variance | 2.42 | 1.96 | 2.30 | 2.50 | 2.94 | 2.80 | |
变异系数CV | 22.05 | 19.70 | 21.78 | 22.63 | 24.90 | 24.21 | |
11 | 均值Mean | 7.05 | 6.77 | 6.82 | 6.85 | 6.91 | 6.90 |
方差Variance | 1.10 | 1.46 | 1.50* | 1.39 | 1.46* | 1.41* | |
变异系数CV | 14.87 | 17.83 | 17.97 | 17.20 | 17.50 | 17.21 | |
12 | 均值Mean | 6.38 | 6.21 | 6.64 | 6.67 | 6.89 | 6.85 |
方差Variance | 12.70 | 11.70 | 14.68 | 14.50 | 15.68 | 15.75* | |
变异系数CV | 55.85 | 55.10 | 57.72 | 57.12 | 57.45 | 57.97 | |
13 | 均值Mean | 2.17 | 2.18 | 2.19 | 2.18 | 2.19 | 2.18 |
方差Variance | 0.02 | 0.02 | 0.03 | 0.02* | 0.03** | 0.03** | |
变异系数CV | 6.31 | 7.09 | 7.38 | 7.18 | 7.52 | 7.32 | |
14 | 均值Mean | 2.47 | 2.44 | 2.40 | 2.40 | 2.41 | 2.44 |
方差Variance | 0.25 | 0.25 | 0.24 | 0.24 | 0.24 | 0.25 | |
变异系数CV | 20.20 | 20.57 | 20.56 | 20.52 | 20.50 | 20.42 | |
15 | 均值Mean | 2.49 | 2.60 | 2.53 | 2.53 | 2.52 | 2.52 |
方差Variance | 0.27 | 0.33 | 0.31 | 0.29 | 0.29 | 0.28 | |
变异系数CV | 20.92 | 22.04 | 21.99 | 21.41 | 21.23 | 20.96 | |
16 | 均值Mean | 0.16 | 0.21 | 0.21 | 0.17 | 0.16 | 0.15 |
方差Variance | 0.14 | 0.17 | 0.17 | 0.14 | 0.13 | 0.13 | |
变异系数CV | 229.38 | 197.00 | 196.30 | 224.78 | 231.53 | 242.86 | |
17 | 均值Mean | 4.34 | 4.02* | 4.11 | 4.11* | 4.15* | 4.17* |
方差Variance | 0.59 | 1.04** | 0.92** | 0.84* | 0.78* | 0.76* | |
变异系数CV | 17.74 | 25.39 | 23.29 | 22.27 | 21.34 | 20.86 | |
18 | 均值Mean | 0.15 | 0.17 | 0.15 | 0.14 | 0.16 | 0.16 |
方差Variance | 0.13 | 0.14 | 0.13 | 0.12 | 0.13 | 0.14 | |
变异系数CV | 239.33 | 225.97 | 237.14 | 254.00 | 231.53 | 230.17 | |
19 | 均值Mean | 1.02 | 3.40* | 2.99* | 2.52* | 2.20* | 1.92* |
方差Variance | 14.65 | 60.54** | 47.61** | 39.82** | 33.54** | 28.73** | |
变异系数CV | 376.10 | 229.18 | 230.66 | 250.20 | 263.78 | 278.73 | |
20 | 均值Mean | 2.81 | 2.81 | 2.86 | 2.84 | 2.86 | 2.88 |
方差Variance | 0.77 | 0.79 | 0.83 | 0.83 | 0.88 | 0.90 | |
变异系数CV | 31.25 | 31.68 | 31.76 | 32.00 | 32.80 | 32.96 |
构建方法 Construction methods | 均值差异百分率 Mean difference percentage | 方差差异百分率 Percentage of variance difference | 极差符合率 Coincidence rate of range | 变异系数变化率 Variable rate of coefficient of variation |
---|---|---|---|---|
C1 | 0 | 10.00 | 94.54 | 106.02 |
C2 | 0 | 10.00 | 96.82 | 108.63 |
C3 | 60.00 | 65.00 | 100.00 | 120.76 |
C4 | 50.00 | 65.00 | 100.00 | 120.37 |
C5 | 0 | 35.00 | 97.26 | 111.00 |
C6 | 0 | 15.00 | 97.20 | 107.31 |
C7 | 0 | 15.00 | 91.87 | 100.35 |
C8 | 0 | 5.00 | 94.51 | 99.58 |
C9 | 45.00 | 55.00 | 100.00 | 121.31 |
C10 | 60.00 | 55.00 | 100.00 | 121.24 |
C11 | 0 | 45.00 | 98.54 | 109.98 |
C12 | 5.00 | 50.00 | 98.37 | 112.79 |
C13 | 0 | 5.00 | 97.27 | 104.09 |
C14 | 0 | 0 | 97.78 | 105.39 |
C15 | 0 | 35.00 | 100.00 | 109.34 |
C16 | 0 | 40.00 | 100.00 | 110.60 |
C17 | 0 | 20.00 | 99.88 | 105.80 |
C18 | 0 | 15.00 | 99.88 | 105.63 |
C19 | 0 | 5.00 | 96.26 | 99.20 |
C20 | 0 | 0 | 96.50 | 100.17 |
C21 | 10.00 | 40.00 | 100.00 | 111.78 |
C22 | 40.00 | 40.00 | 100.00 | 111.81 |
C23 | 5.00 | 60.00 | 99.56 | 108.47 |
C24 | 5.00 | 40.00 | 99.67 | 107.45 |
表6 不同构建方法构建的核心种质与原始群体差异百分率
Table 6 Percentage difference between core collections and initial population constructed by different construction methods %
构建方法 Construction methods | 均值差异百分率 Mean difference percentage | 方差差异百分率 Percentage of variance difference | 极差符合率 Coincidence rate of range | 变异系数变化率 Variable rate of coefficient of variation |
---|---|---|---|---|
C1 | 0 | 10.00 | 94.54 | 106.02 |
C2 | 0 | 10.00 | 96.82 | 108.63 |
C3 | 60.00 | 65.00 | 100.00 | 120.76 |
C4 | 50.00 | 65.00 | 100.00 | 120.37 |
C5 | 0 | 35.00 | 97.26 | 111.00 |
C6 | 0 | 15.00 | 97.20 | 107.31 |
C7 | 0 | 15.00 | 91.87 | 100.35 |
C8 | 0 | 5.00 | 94.51 | 99.58 |
C9 | 45.00 | 55.00 | 100.00 | 121.31 |
C10 | 60.00 | 55.00 | 100.00 | 121.24 |
C11 | 0 | 45.00 | 98.54 | 109.98 |
C12 | 5.00 | 50.00 | 98.37 | 112.79 |
C13 | 0 | 5.00 | 97.27 | 104.09 |
C14 | 0 | 0 | 97.78 | 105.39 |
C15 | 0 | 35.00 | 100.00 | 109.34 |
C16 | 0 | 40.00 | 100.00 | 110.60 |
C17 | 0 | 20.00 | 99.88 | 105.80 |
C18 | 0 | 15.00 | 99.88 | 105.63 |
C19 | 0 | 5.00 | 96.26 | 99.20 |
C20 | 0 | 0 | 96.50 | 100.17 |
C21 | 10.00 | 40.00 | 100.00 | 111.78 |
C22 | 40.00 | 40.00 | 100.00 | 111.81 |
C23 | 5.00 | 60.00 | 99.56 | 108.47 |
C24 | 5.00 | 40.00 | 99.67 | 107.45 |
性状 Traits | 参数 Parameter | 原群体 Initial population | 构建方法 Construction methods | |||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C1 | C2 | C5 | C6 | C7 | C8 | C11 | C12 | C13 | C14 | C15 | C16 | C17 | C18 | C19 | C20 | C21 | C23 | C24 | ||||||||||||||||||||||||
1 | 均值Mean | 6.49 | 6.44 | 6.56 | 6.56 | 6.58 | 6.54 | 6.58 | 6.44 | 6.47 | 6.48 | 6.47 | 6.54 | 6.53 | 6.51 | 6.53 | 6.53 | 6.53 | 6.53 | 6.43 | 6.42 | |||||||||||||||||||||
方差Variance | 0.65 | 0.93* | 0.84 | 0.81 | 0.73 | 0.56 | 0.73 | 0.84 | 0.76 | 0.74 | 0.8 | 0.80 | 0.85* | 0.74 | 0.73 | 0.70 | 0.64 | 0.87* | 0.85* | 0.83* | ||||||||||||||||||||||
变异系数CV | 12.43 | 14.94 | 14.00 | 13.76 | 12.94 | 11.46 | 12.94 | 14.24 | 13.47 | 13.28 | 13.79 | 13.63 | 14.14 | 13.22 | 13.06 | 12.80 | 12.26 | 14.24 | 14.32 | 14.21 | ||||||||||||||||||||||
2 | 均值Mean | 151.61 | 147.41 | 143.41 | 149.09 | 150.05 | 150.66 | 150.57 | 147.86 | 146.65 | 147.14 | 148.27 | 143.99 | 144.67 | 154.70 | 153.90 | 151.52 | 150.86 | 141.43 | 146.66 | 149.34 | |||||||||||||||||||||
方差Variance | 3 688.79 | 4 526.67 | 4 696.06 | 4 876.88* | 4 282.62 | 3 552.78 | 4 052.65 | 4 588.49 | 4 936.38* | 4 340.35 | 4 189.12 | 4 817.92* | 5 012.71** | 4 389.72 | 4 304.74 | 3 745.36 | 4 027.53 | 4 877.82* | 4 518.45 | 4 416.71 | ||||||||||||||||||||||
变异系数CV | 40.06 | 45.64 | 47.79 | 46.84 | 43.61 | 39.56 | 42.28 | 45.81 | 47.91 | 44.78 | 43.65 | 48.21 | 48.94 | 42.83 | 42.63 | 40.39 | 42.07 | 49.38 | 45.83 | 44.50 | ||||||||||||||||||||||
3 | 均值Mean | 27.26 | 26.47 | 26.10 | 27.15 | 27.56 | 27.65 | 27.32 | 27.03 | 26.21 | 26.74 | 26.6 | 26.10 | 25.78 | 27.47 | 27.39 | 26.93 | 27.04 | 25.10 | 26.49 | 26.80 | |||||||||||||||||||||
方差Variance | 55.83 | 69.51 | 71.68 | 72.27 | 65.17 | 54.22 | 66.39 | 69.45 | 74.28* | 67.85 | 63.12 | 75.67** | 76.17** | 64.96 | 65.78 | 59.01 | 65.77 | 71.77* | 67.55 | 66.60 | ||||||||||||||||||||||
变异系数CV | 27.41 | 31.50 | 32.44 | 31.31 | 29.29 | 26.64 | 29.83 | 30.84 | 32.88 | 30.80 | 29.86 | 33.32 | 33.85 | 29.34 | 29.61 | 28.53 | 30.00 | 33.75 | 31.02 | 30.45 | ||||||||||||||||||||||
4 | 均值Mean | 11.96 | 11.82 | 11.49 | 11.68 | 11.82 | 12.01 | 12.12 | 11.59 | 11.43 | 11.83 | 11.72 | 11.56 | 11.40 | 11.91 | 11.85 | 12.03 | 11.99 | 11.53 | 11.71 | 11.77 | |||||||||||||||||||||
方差Variance | 10.94 | 11.64 | 10.97 | 12.68 | 11.61 | 9.33 | 11.56 | 14.26 | 14.84* | 11.68 | 10.96 | 13.57* | 13.43 | 11.90 | 12.18 | 10.20 | 11.35 | 14.99** | 14.15* | 13.38 | ||||||||||||||||||||||
变异系数CV | 27.64 | 28.87 | 28.82 | 30.50 | 28.83 | 25.43 | 28.04 | 32.58 | 33.70 | 28.88 | 28.25 | 31.87 | 32.14 | 28.97 | 29.46 | 26.55 | 28.09 | 33.58 | 32.12 | 31.06 | ||||||||||||||||||||||
5 | 均值Mean | 55.91 | 55.73 | 54.88 | 54.95 | 55.77 | 55.70 | 56.21 | 53.87 | 54.00 | 55.25 | 55.71 | 54.32 | 54.31 | 55.59 | 55.54 | 56.18 | 55.80 | 54.17 | 54.73 | 54.94 | |||||||||||||||||||||
方差Variance | 117.06 | 126.20 | 169.46* | 153.81 | 138.87 | 146.28 | 127.51 | 188.91** | 184.34** | 135.97 | 145.95* | 154.17* | 157.82* | 148.55* | 148.43* | 118.53 | 120.92 | 160.71** | 159.93** | 161.31** | ||||||||||||||||||||||
变异系数CV | 19.35 | 20.16 | 23.72 | 22.57 | 21.13 | 21.71 | 20.09 | 25.52 | 25.14 | 21.11 | 21.69 | 22.86 | 23.13 | 21.93 | 21.94 | 19.38 | 19.71 | 23.40 | 23.11 | 23.12 | ||||||||||||||||||||||
6 | 均值Mean | 64.02 | 64.14 | 62.48 | 63.83 | 65.02 | 64.84 | 64.16 | 63.03 | 63.22 | 63.46 | 63.53 | 62.01 | 61.82 | 64.34 | 64.21 | 64.50 | 63.84 | 61.61 | 63.14 | 63.66 | |||||||||||||||||||||
方差Variance | 223.59 | 274.41 | 268.22 | 306.48* | 290.81 | 204.72 | 224.70 | 287.69 | 320.56* | 261.16 | 251.83 | 304.44** | 313.16** | 258.65 | 256.34 | 218.71 | 226.27 | 308.57** | 282.09* | 275.57 | ||||||||||||||||||||||
变异系数CV | 23.36 | 25.83 | 26.21 | 27.43 | 26.23 | 22.07 | 23.37 | 26.91 | 28.32 | 25.47 | 24.98 | 28.14 | 28.63 | 25.00 | 24.94 | 22.93 | 23.56 | 28.51 | 26.60 | 26.08 | ||||||||||||||||||||||
7 | 均值Mean | 3.07 | 3.02 | 3.04 | 3.11 | 3.12 | 3.13 | 3.15 | 3.13 | 3.09 | 3.07 | 3.05 | 3.04 | 3.00 | 3.10 | 3.10 | 3.12 | 3.09 | 3.07 | 3.10 | 3.10 | |||||||||||||||||||||
方差Variance | 0.30 | 0.34 | 0.39 | 0.50** | 0.50** | 0.37 | 0.35 | 0.48** | 0.48** | 0.34 | 0.36 | 0.34 | 0.37 | 0.42** | 0.41* | 0.31 | 0.32 | 0.36 | 0.43** | 0.39* | ||||||||||||||||||||||
变异系数CV | 17.93 | 19.30 | 20.39 | 22.87 | 22.66 | 19.42 | 18.70 | 22.20 | 22.46 | 18.99 | 19.57 | 19.23 | 20.20 | 20.83 | 20.63 | 17.86 | 18.41 | 19.45 | 21.11 | 20.20 | ||||||||||||||||||||||
8 | 均值Mean | 6.23 | 6.43 | 6.31 | 6.38 | 6.28 | 6.23 | 6.23 | 6.27 | 6.24 | 6.30 | 6.25 | 6.41 | 6.40 | 6.26 | 6.20 | 6.24 | 6.24 | 6.41 | 6.25 | 6.27 | |||||||||||||||||||||
方差Variance | 2.03 | 2.64 | 2.62 | 3.24** | 2.81* | 2.20 | 1.96 | 3.01** | 2.79* | 2.37 | 2.37 | 2.63* | 2.44 | 2.61* | 2.55* | 1.99 | 2.06 | 2.48 | 2.87** | 2.76** | ||||||||||||||||||||||
变异系数CV | 22.87 | 25.28 | 25.62 | 28.21 | 26.73 | 23.81 | 22.50 | 27.66 | 26.75 | 24.46 | 24.65 | 25.32 | 24.43 | 25.82 | 25.75 | 22.61 | 22.99 | 24.58 | 27.11 | 26.47 | ||||||||||||||||||||||
9 | 均值Mean | 4.65 | 4.63 | 4.46 | 4.67 | 4.72 | 4.65 | 4.71 | 4.74 | 4.72 | 4.55 | 4.63 | 4.52 | 4.43 | 4.68 | 4.70 | 4.62 | 4.65 | 4.36* | 4.63 | 4.67 | |||||||||||||||||||||
方差Variance | 1.65 | 1.70 | 1.63 | 2.20* | 2.09 | 1.86 | 1.67 | 2.42* | 2.57** | 1.76 | 1.73 | 2.00 | 1.97 | 2.00 | 2.00 | 1.75 | 1.77 | 1.94 | 2.12* | 2.11* | ||||||||||||||||||||||
变异系数CV | 27.61 | 28.21 | 28.66 | 31.76 | 30.62 | 29.34 | 27.48 | 32.86 | 33.95 | 29.17 | 28.46 | 31.28 | 31.66 | 30.18 | 30.09 | 28.63 | 28.57 | 31.93 | 31.51 | 31.14 | ||||||||||||||||||||||
10 | 均值Mean | 7.05 | 6.93 | 6.73 | 6.96 | 7.11 | 7.10 | 7.04 | 7.06 | 6.90 | 6.96 | 6.93 | 6.81 | 6.83 | 7.09 | 7.07 | 7.02 | 6.96 | 6.77 | 6.94 | 6.95 | |||||||||||||||||||||
方差Variance | 2.42 | 2.67 | 2.81 | 3.07 | 2.77 | 2.38 | 2.28 | 2.98 | 3.08 | 2.72 | 2.73 | 2.84 | 3.15* | 2.89 | 2.91 | 2.40 | 2.42 | 3.03* | 2.93 | 2.77 | ||||||||||||||||||||||
变异系数CV | 22.05 | 23.57 | 24.92 | 25.20 | 23.40 | 21.75 | 21.45 | 24.44 | 25.43 | 23.68 | 23.84 | 24.76 | 26.00 | 23.95 | 24.11 | 22.07 | 22.35 | 25.74 | 24.69 | 23.92 | ||||||||||||||||||||||
11 | 均值Mean | 7.05 | 7.10 | 7.01 | 7.04 | 7.08 | 6.90 | 6.94 | 6.99 | 7.15 | 7.08 | 7.06 | 7.03 | 7.06 | 7.08 | 7.09 | 7.01 | 7.00 | 6.97 | 6.97 | 6.99 | |||||||||||||||||||||
方差Variance | 1.10 | 1.47* | 1.48* | 1.87** | 1.96** | 1.10 | 1.07 | 1.76** | 1.79** | 1.19 | 1.31 | 1.27 | 1.30 | 1.55** | 1.52** | 1.20 | 1.08 | 1.43* | 1.44* | 1.55** | ||||||||||||||||||||||
变异系数CV | 14.87 | 17.08 | 17.34 | 19.43 | 19.79 | 15.22 | 14.88 | 18.99 | 18.72 | 15.42 | 16.23 | 16.05 | 16.15 | 17.61 | 17.41 | 15.64 | 14.83 | 17.13 | 17.21 | 17.78 | ||||||||||||||||||||||
12 | 均值Mean | 6.38 | 6.61 | 6.86 | 6.76 | 6.49 | 5.88 | 6.40 | 6.44 | 7.01 | 6.54 | 6.49 | 7.02 | 6.99 | 6.38 | 6.47 | 6.26 | 6.43 | 7.14 | 6.67 | 6.51 | |||||||||||||||||||||
方差Variance | 12.70 | 14.66 | 17.22* | 18.97** | 17.15 | 8.65* | 11.77 | 16.05 | 20.49** | 14.08 | 12.94 | 17.95** | 17.50** | 14.11 | 14.73 | 12.04 | 12.9 | 19.74** | 16.51* | 15.54 | ||||||||||||||||||||||
变异系数CV | 55.85 | 57.92 | 60.48 | 64.40 | 63.86 | 50.05 | 53.57 | 62.17 | 64.54 | 57.37 | 55.45 | 60.35 | 59.87 | 58.92 | 59.36 | 55.40 | 55.86 | 62.24 | 60.90 | 60.52 | ||||||||||||||||||||||
13 | 均值Mean | 2.17 | 2.18 | 2.18 | 2.17 | 2.17 | 2.15 | 2.17 | 2.17 | 2.19 | 2.18 | 2.17 | 2.19 | 2.19 | 2.17 | 2.17 | 2.16 | 2.17 | 2.19 | 2.18 | 2.17 | |||||||||||||||||||||
方差Variance | 0.02 | 0.02 | 0.02 | 0.03* | 0.03* | 0.02 | 0.02 | 0.02 | 0.03** | 0.02 | 0.02 | 0.02* | 0.03** | 0.02 | 0.02* | 0.02 | 0.02 | 0.03* | 0.03** | 0.03* | ||||||||||||||||||||||
变异系数CV | 6.31 | 6.76 | 6.79 | 7.46 | 7.30 | 6.09 | 6.40 | 7.22 | 7.69 | 6.50 | 6.47 | 7.08 | 7.25 | 6.97 | 7.00 | 6.19 | 6.62 | 7.23 | 7.31 | 7.31 | ||||||||||||||||||||||
14 | 均值Mean | 2.47 | 2.49 | 2.42 | 2.47 | 2.49 | 2.50 | 2.44 | 2.51 | 2.49 | 2.47 | 2.44 | 2.47 | 2.47 | 2.49 | 2.47 | 2.49 | 2.49 | 2.49 | 2.50 | 2.48 | |||||||||||||||||||||
方差Variance | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | ||||||||||||||||||||||
变异系数CV | 20.20 | 20.25 | 20.54 | 20.34 | 20.25 | 20.14 | 20.47 | 20.02 | 20.25 | 20.30 | 20.40 | 20.30 | 20.26 | 20.17 | 20.26 | 20.17 | 20.17 | 20.17 | 20.07 | 20.22 | ||||||||||||||||||||||
15 | 均值Mean | 2.49 | 2.50 | 2.57 | 2.56 | 2.56 | 2.49 | 2.54 | 2.51 | 2.56 | 2.50 | 2.51 | 2.56 | 2.51 | 2.52 | 2.51 | 2.46 | 2.51 | 2.51 | 2.51 | 2.53 | |||||||||||||||||||||
方差Variance | 0.27 | 0.31 | 0.28 | 0.33 | 0.33 | 0.28 | 0.34 | 0.31 | 0.33 | 0.29 | 0.28 | 0.29 | 0.28 | 0.29 | 0.29 | 0.26 | 0.29 | 0.28 | 0.29 | 0.29 | ||||||||||||||||||||||
变异系数CV | 20.92 | 22.27 | 20.48 | 22.65 | 22.65 | 21.34 | 22.82 | 22.14 | 22.65 | 21.68 | 21.10 | 21.09 | 21.10 | 21.48 | 21.62 | 20.9 | 21.55 | 21.10 | 21.62 | 21.41 | ||||||||||||||||||||||
16 | 均值Mean | 0.16 | 0.18 | 0.18 | 0.21 | 0.21 | 0.15 | 0.18 | 0.26 | 0.28* | 0.18 | 0.14 | 0.17 | 0.19 | 0.17 | 0.18 | 0.21 | 0.19 | 0.17 | 0.25* | 0.24* | |||||||||||||||||||||
方差Variance | 0.14 | 0.15 | 0.15 | 0.17 | 0.17 | 0.13 | 0.15 | 0.20* | 0.20** | 0.15 | 0.12 | 0.14 | 0.15 | 0.14 | 0.15 | 0.17 | 0.16 | 0.14 | 0.19** | 0.19** | ||||||||||||||||||||||
变异系数CV | 229.38 | 214.53 | 214.53 | 196.30 | 196.30 | 237.14 | 214.53 | 168.19 | 162.38 | 213.78 | 249.87 | 224.39 | 208.89 | 224.39 | 213.78 | 195.62 | 204.25 | 218.94 | 173.81 | 177.09 | ||||||||||||||||||||||
17 | 均值Mean | 4.34 | 4.17 | 4.28 | 4.21 | 4.28 | 4.25 | 4.31 | 4.21 | 4.14 | 4.20 | 4.28 | 4.24 | 4.33 | 4.26 | 4.28 | 4.24 | 4.25 | 4.21 | 4.24 | 4.21 | |||||||||||||||||||||
方差Variance | 0.59 | 0.82* | 0.77 | 0.84* | 0.79 | 0.84* | 0.53 | 0.90** | 1.02** | 0.74* | 0.69 | 0.67 | 0.70 | 0.78* | 0.75* | 0.69 | 0.65 | 0.68 | 0.80* | 0.82** | ||||||||||||||||||||||
变异系数CV | 17.74 | 21.69 | 20.47 | 21.82 | 20.84 | 21.54 | 16.83 | 22.54 | 24.43 | 20.41 | 19.44 | 19.36 | 19.30 | 20.75 | 20.22 | 19.56 | 18.98 | 19.65 | 21.08 | 21.56 | ||||||||||||||||||||||
18 | 均值Mean | 0.15 | 0.17 | 0.15 | 0.21 | 0.19 | 0.14 | 0.17 | 0.24 | 0.22 | 0.16 | 0.17 | 0.17 | 0.14 | 0.19 | 0.19 | 0.18 | 0.19 | 0.15 | 0.22 | 0.22 | |||||||||||||||||||||
方差Variance | 0.13 | 0.14 | 0.13 | 0.17 | 0.16 | 0.12 | 0.14 | 0.18* | 0.18* | 0.14 | 0.14 | 0.14 | 0.12 | 0.15 | 0.15 | 0.15 | 0.15 | 0.13 | 0.17* | 0.17* | ||||||||||||||||||||||
变异系数CV | 239.33 | 225.18 | 237.14 | 196.3 | 204.97 | 250.75 | 225.18 | 181.13 | 188.40 | 230.17 | 224.39 | 224.39 | 249.87 | 208.89 | 208.89 | 213.78 | 208.89 | 236.31 | 191.59 | 191.59 | ||||||||||||||||||||||
19 | 均值Mean | 1.02 | 1.77 | 1.22 | 1.84 | 2.25 | 1.49 | 1.64 | 2.14 | 1.68 | 1.42 | 1.06 | 1.13 | 1.10 | 1.61 | 1.54 | 1.27 | 1.25 | 0.99 | 1.45 | 1.45 | |||||||||||||||||||||
方差Variance | 14.65 | 24.43** | 20.59** | 27.88** | 36.61 | 21.31** | 22.19** | 34.49** | 31.02** | 19.26** | 16.16 | 18.51* | 15.93 | 23.67** | 23.15** | 19.75** | 16.75 | 16 | 23.35** | 23.35** | ||||||||||||||||||||||
变异系数CV | 376.1 | 278.88 | 372.09 | 286.58 | 269.22 | 310.28 | 287.90 | 274.81 | 332.26 | 308.70 | 378.61 | 381.74 | 364.10 | 302.10 | 312.70 | 351.27 | 327.13 | 404.20 | 334.14 | 334.14 | ||||||||||||||||||||||
20 | 均值Mean | 2.81 | 2.85 | 2.82 | 2.82 | 2.78 | 2.76 | 2.75 | 2.76 | 2.86 | 2.83 | 2.80 | 2.89 | 2.86 | 2.82 | 2.82 | 2.78 | 2.80 | 2.94 | 2.88 | 2.85 | |||||||||||||||||||||
方差Variance | 0.77 | 0.92 | 0.80 | 1.00 | 0.88 | 0.75 | 0.75 | 0.92 | 0.91 | 0.81 | 0.82 | 0.91 | 0.95 | 0.83 | 0.85 | 0.73 | 0.76 | 0.97* | 0.94 | 0.88 | ||||||||||||||||||||||
变异系数CV | 31.25 | 33.69 | 31.68 | 35.38 | 33.76 | 31.26 | 31.57 | 34.62 | 33.34 | 31.79 | 32.34 | 33.03 | 33.99 | 32.40 | 32.67 | 30.83 | 31.22 | 33.50 | 33.64 | 32.88 |
表7 不同方法构建的核心种质与原始群体差异比较
Table 7 Comparison of differences between core collections and initial population constructed by different construction methods
性状 Traits | 参数 Parameter | 原群体 Initial population | 构建方法 Construction methods | |||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C1 | C2 | C5 | C6 | C7 | C8 | C11 | C12 | C13 | C14 | C15 | C16 | C17 | C18 | C19 | C20 | C21 | C23 | C24 | ||||||||||||||||||||||||
1 | 均值Mean | 6.49 | 6.44 | 6.56 | 6.56 | 6.58 | 6.54 | 6.58 | 6.44 | 6.47 | 6.48 | 6.47 | 6.54 | 6.53 | 6.51 | 6.53 | 6.53 | 6.53 | 6.53 | 6.43 | 6.42 | |||||||||||||||||||||
方差Variance | 0.65 | 0.93* | 0.84 | 0.81 | 0.73 | 0.56 | 0.73 | 0.84 | 0.76 | 0.74 | 0.8 | 0.80 | 0.85* | 0.74 | 0.73 | 0.70 | 0.64 | 0.87* | 0.85* | 0.83* | ||||||||||||||||||||||
变异系数CV | 12.43 | 14.94 | 14.00 | 13.76 | 12.94 | 11.46 | 12.94 | 14.24 | 13.47 | 13.28 | 13.79 | 13.63 | 14.14 | 13.22 | 13.06 | 12.80 | 12.26 | 14.24 | 14.32 | 14.21 | ||||||||||||||||||||||
2 | 均值Mean | 151.61 | 147.41 | 143.41 | 149.09 | 150.05 | 150.66 | 150.57 | 147.86 | 146.65 | 147.14 | 148.27 | 143.99 | 144.67 | 154.70 | 153.90 | 151.52 | 150.86 | 141.43 | 146.66 | 149.34 | |||||||||||||||||||||
方差Variance | 3 688.79 | 4 526.67 | 4 696.06 | 4 876.88* | 4 282.62 | 3 552.78 | 4 052.65 | 4 588.49 | 4 936.38* | 4 340.35 | 4 189.12 | 4 817.92* | 5 012.71** | 4 389.72 | 4 304.74 | 3 745.36 | 4 027.53 | 4 877.82* | 4 518.45 | 4 416.71 | ||||||||||||||||||||||
变异系数CV | 40.06 | 45.64 | 47.79 | 46.84 | 43.61 | 39.56 | 42.28 | 45.81 | 47.91 | 44.78 | 43.65 | 48.21 | 48.94 | 42.83 | 42.63 | 40.39 | 42.07 | 49.38 | 45.83 | 44.50 | ||||||||||||||||||||||
3 | 均值Mean | 27.26 | 26.47 | 26.10 | 27.15 | 27.56 | 27.65 | 27.32 | 27.03 | 26.21 | 26.74 | 26.6 | 26.10 | 25.78 | 27.47 | 27.39 | 26.93 | 27.04 | 25.10 | 26.49 | 26.80 | |||||||||||||||||||||
方差Variance | 55.83 | 69.51 | 71.68 | 72.27 | 65.17 | 54.22 | 66.39 | 69.45 | 74.28* | 67.85 | 63.12 | 75.67** | 76.17** | 64.96 | 65.78 | 59.01 | 65.77 | 71.77* | 67.55 | 66.60 | ||||||||||||||||||||||
变异系数CV | 27.41 | 31.50 | 32.44 | 31.31 | 29.29 | 26.64 | 29.83 | 30.84 | 32.88 | 30.80 | 29.86 | 33.32 | 33.85 | 29.34 | 29.61 | 28.53 | 30.00 | 33.75 | 31.02 | 30.45 | ||||||||||||||||||||||
4 | 均值Mean | 11.96 | 11.82 | 11.49 | 11.68 | 11.82 | 12.01 | 12.12 | 11.59 | 11.43 | 11.83 | 11.72 | 11.56 | 11.40 | 11.91 | 11.85 | 12.03 | 11.99 | 11.53 | 11.71 | 11.77 | |||||||||||||||||||||
方差Variance | 10.94 | 11.64 | 10.97 | 12.68 | 11.61 | 9.33 | 11.56 | 14.26 | 14.84* | 11.68 | 10.96 | 13.57* | 13.43 | 11.90 | 12.18 | 10.20 | 11.35 | 14.99** | 14.15* | 13.38 | ||||||||||||||||||||||
变异系数CV | 27.64 | 28.87 | 28.82 | 30.50 | 28.83 | 25.43 | 28.04 | 32.58 | 33.70 | 28.88 | 28.25 | 31.87 | 32.14 | 28.97 | 29.46 | 26.55 | 28.09 | 33.58 | 32.12 | 31.06 | ||||||||||||||||||||||
5 | 均值Mean | 55.91 | 55.73 | 54.88 | 54.95 | 55.77 | 55.70 | 56.21 | 53.87 | 54.00 | 55.25 | 55.71 | 54.32 | 54.31 | 55.59 | 55.54 | 56.18 | 55.80 | 54.17 | 54.73 | 54.94 | |||||||||||||||||||||
方差Variance | 117.06 | 126.20 | 169.46* | 153.81 | 138.87 | 146.28 | 127.51 | 188.91** | 184.34** | 135.97 | 145.95* | 154.17* | 157.82* | 148.55* | 148.43* | 118.53 | 120.92 | 160.71** | 159.93** | 161.31** | ||||||||||||||||||||||
变异系数CV | 19.35 | 20.16 | 23.72 | 22.57 | 21.13 | 21.71 | 20.09 | 25.52 | 25.14 | 21.11 | 21.69 | 22.86 | 23.13 | 21.93 | 21.94 | 19.38 | 19.71 | 23.40 | 23.11 | 23.12 | ||||||||||||||||||||||
6 | 均值Mean | 64.02 | 64.14 | 62.48 | 63.83 | 65.02 | 64.84 | 64.16 | 63.03 | 63.22 | 63.46 | 63.53 | 62.01 | 61.82 | 64.34 | 64.21 | 64.50 | 63.84 | 61.61 | 63.14 | 63.66 | |||||||||||||||||||||
方差Variance | 223.59 | 274.41 | 268.22 | 306.48* | 290.81 | 204.72 | 224.70 | 287.69 | 320.56* | 261.16 | 251.83 | 304.44** | 313.16** | 258.65 | 256.34 | 218.71 | 226.27 | 308.57** | 282.09* | 275.57 | ||||||||||||||||||||||
变异系数CV | 23.36 | 25.83 | 26.21 | 27.43 | 26.23 | 22.07 | 23.37 | 26.91 | 28.32 | 25.47 | 24.98 | 28.14 | 28.63 | 25.00 | 24.94 | 22.93 | 23.56 | 28.51 | 26.60 | 26.08 | ||||||||||||||||||||||
7 | 均值Mean | 3.07 | 3.02 | 3.04 | 3.11 | 3.12 | 3.13 | 3.15 | 3.13 | 3.09 | 3.07 | 3.05 | 3.04 | 3.00 | 3.10 | 3.10 | 3.12 | 3.09 | 3.07 | 3.10 | 3.10 | |||||||||||||||||||||
方差Variance | 0.30 | 0.34 | 0.39 | 0.50** | 0.50** | 0.37 | 0.35 | 0.48** | 0.48** | 0.34 | 0.36 | 0.34 | 0.37 | 0.42** | 0.41* | 0.31 | 0.32 | 0.36 | 0.43** | 0.39* | ||||||||||||||||||||||
变异系数CV | 17.93 | 19.30 | 20.39 | 22.87 | 22.66 | 19.42 | 18.70 | 22.20 | 22.46 | 18.99 | 19.57 | 19.23 | 20.20 | 20.83 | 20.63 | 17.86 | 18.41 | 19.45 | 21.11 | 20.20 | ||||||||||||||||||||||
8 | 均值Mean | 6.23 | 6.43 | 6.31 | 6.38 | 6.28 | 6.23 | 6.23 | 6.27 | 6.24 | 6.30 | 6.25 | 6.41 | 6.40 | 6.26 | 6.20 | 6.24 | 6.24 | 6.41 | 6.25 | 6.27 | |||||||||||||||||||||
方差Variance | 2.03 | 2.64 | 2.62 | 3.24** | 2.81* | 2.20 | 1.96 | 3.01** | 2.79* | 2.37 | 2.37 | 2.63* | 2.44 | 2.61* | 2.55* | 1.99 | 2.06 | 2.48 | 2.87** | 2.76** | ||||||||||||||||||||||
变异系数CV | 22.87 | 25.28 | 25.62 | 28.21 | 26.73 | 23.81 | 22.50 | 27.66 | 26.75 | 24.46 | 24.65 | 25.32 | 24.43 | 25.82 | 25.75 | 22.61 | 22.99 | 24.58 | 27.11 | 26.47 | ||||||||||||||||||||||
9 | 均值Mean | 4.65 | 4.63 | 4.46 | 4.67 | 4.72 | 4.65 | 4.71 | 4.74 | 4.72 | 4.55 | 4.63 | 4.52 | 4.43 | 4.68 | 4.70 | 4.62 | 4.65 | 4.36* | 4.63 | 4.67 | |||||||||||||||||||||
方差Variance | 1.65 | 1.70 | 1.63 | 2.20* | 2.09 | 1.86 | 1.67 | 2.42* | 2.57** | 1.76 | 1.73 | 2.00 | 1.97 | 2.00 | 2.00 | 1.75 | 1.77 | 1.94 | 2.12* | 2.11* | ||||||||||||||||||||||
变异系数CV | 27.61 | 28.21 | 28.66 | 31.76 | 30.62 | 29.34 | 27.48 | 32.86 | 33.95 | 29.17 | 28.46 | 31.28 | 31.66 | 30.18 | 30.09 | 28.63 | 28.57 | 31.93 | 31.51 | 31.14 | ||||||||||||||||||||||
10 | 均值Mean | 7.05 | 6.93 | 6.73 | 6.96 | 7.11 | 7.10 | 7.04 | 7.06 | 6.90 | 6.96 | 6.93 | 6.81 | 6.83 | 7.09 | 7.07 | 7.02 | 6.96 | 6.77 | 6.94 | 6.95 | |||||||||||||||||||||
方差Variance | 2.42 | 2.67 | 2.81 | 3.07 | 2.77 | 2.38 | 2.28 | 2.98 | 3.08 | 2.72 | 2.73 | 2.84 | 3.15* | 2.89 | 2.91 | 2.40 | 2.42 | 3.03* | 2.93 | 2.77 | ||||||||||||||||||||||
变异系数CV | 22.05 | 23.57 | 24.92 | 25.20 | 23.40 | 21.75 | 21.45 | 24.44 | 25.43 | 23.68 | 23.84 | 24.76 | 26.00 | 23.95 | 24.11 | 22.07 | 22.35 | 25.74 | 24.69 | 23.92 | ||||||||||||||||||||||
11 | 均值Mean | 7.05 | 7.10 | 7.01 | 7.04 | 7.08 | 6.90 | 6.94 | 6.99 | 7.15 | 7.08 | 7.06 | 7.03 | 7.06 | 7.08 | 7.09 | 7.01 | 7.00 | 6.97 | 6.97 | 6.99 | |||||||||||||||||||||
方差Variance | 1.10 | 1.47* | 1.48* | 1.87** | 1.96** | 1.10 | 1.07 | 1.76** | 1.79** | 1.19 | 1.31 | 1.27 | 1.30 | 1.55** | 1.52** | 1.20 | 1.08 | 1.43* | 1.44* | 1.55** | ||||||||||||||||||||||
变异系数CV | 14.87 | 17.08 | 17.34 | 19.43 | 19.79 | 15.22 | 14.88 | 18.99 | 18.72 | 15.42 | 16.23 | 16.05 | 16.15 | 17.61 | 17.41 | 15.64 | 14.83 | 17.13 | 17.21 | 17.78 | ||||||||||||||||||||||
12 | 均值Mean | 6.38 | 6.61 | 6.86 | 6.76 | 6.49 | 5.88 | 6.40 | 6.44 | 7.01 | 6.54 | 6.49 | 7.02 | 6.99 | 6.38 | 6.47 | 6.26 | 6.43 | 7.14 | 6.67 | 6.51 | |||||||||||||||||||||
方差Variance | 12.70 | 14.66 | 17.22* | 18.97** | 17.15 | 8.65* | 11.77 | 16.05 | 20.49** | 14.08 | 12.94 | 17.95** | 17.50** | 14.11 | 14.73 | 12.04 | 12.9 | 19.74** | 16.51* | 15.54 | ||||||||||||||||||||||
变异系数CV | 55.85 | 57.92 | 60.48 | 64.40 | 63.86 | 50.05 | 53.57 | 62.17 | 64.54 | 57.37 | 55.45 | 60.35 | 59.87 | 58.92 | 59.36 | 55.40 | 55.86 | 62.24 | 60.90 | 60.52 | ||||||||||||||||||||||
13 | 均值Mean | 2.17 | 2.18 | 2.18 | 2.17 | 2.17 | 2.15 | 2.17 | 2.17 | 2.19 | 2.18 | 2.17 | 2.19 | 2.19 | 2.17 | 2.17 | 2.16 | 2.17 | 2.19 | 2.18 | 2.17 | |||||||||||||||||||||
方差Variance | 0.02 | 0.02 | 0.02 | 0.03* | 0.03* | 0.02 | 0.02 | 0.02 | 0.03** | 0.02 | 0.02 | 0.02* | 0.03** | 0.02 | 0.02* | 0.02 | 0.02 | 0.03* | 0.03** | 0.03* | ||||||||||||||||||||||
变异系数CV | 6.31 | 6.76 | 6.79 | 7.46 | 7.30 | 6.09 | 6.40 | 7.22 | 7.69 | 6.50 | 6.47 | 7.08 | 7.25 | 6.97 | 7.00 | 6.19 | 6.62 | 7.23 | 7.31 | 7.31 | ||||||||||||||||||||||
14 | 均值Mean | 2.47 | 2.49 | 2.42 | 2.47 | 2.49 | 2.50 | 2.44 | 2.51 | 2.49 | 2.47 | 2.44 | 2.47 | 2.47 | 2.49 | 2.47 | 2.49 | 2.49 | 2.49 | 2.50 | 2.48 | |||||||||||||||||||||
方差Variance | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | 0.25 | ||||||||||||||||||||||
变异系数CV | 20.20 | 20.25 | 20.54 | 20.34 | 20.25 | 20.14 | 20.47 | 20.02 | 20.25 | 20.30 | 20.40 | 20.30 | 20.26 | 20.17 | 20.26 | 20.17 | 20.17 | 20.17 | 20.07 | 20.22 | ||||||||||||||||||||||
15 | 均值Mean | 2.49 | 2.50 | 2.57 | 2.56 | 2.56 | 2.49 | 2.54 | 2.51 | 2.56 | 2.50 | 2.51 | 2.56 | 2.51 | 2.52 | 2.51 | 2.46 | 2.51 | 2.51 | 2.51 | 2.53 | |||||||||||||||||||||
方差Variance | 0.27 | 0.31 | 0.28 | 0.33 | 0.33 | 0.28 | 0.34 | 0.31 | 0.33 | 0.29 | 0.28 | 0.29 | 0.28 | 0.29 | 0.29 | 0.26 | 0.29 | 0.28 | 0.29 | 0.29 | ||||||||||||||||||||||
变异系数CV | 20.92 | 22.27 | 20.48 | 22.65 | 22.65 | 21.34 | 22.82 | 22.14 | 22.65 | 21.68 | 21.10 | 21.09 | 21.10 | 21.48 | 21.62 | 20.9 | 21.55 | 21.10 | 21.62 | 21.41 | ||||||||||||||||||||||
16 | 均值Mean | 0.16 | 0.18 | 0.18 | 0.21 | 0.21 | 0.15 | 0.18 | 0.26 | 0.28* | 0.18 | 0.14 | 0.17 | 0.19 | 0.17 | 0.18 | 0.21 | 0.19 | 0.17 | 0.25* | 0.24* | |||||||||||||||||||||
方差Variance | 0.14 | 0.15 | 0.15 | 0.17 | 0.17 | 0.13 | 0.15 | 0.20* | 0.20** | 0.15 | 0.12 | 0.14 | 0.15 | 0.14 | 0.15 | 0.17 | 0.16 | 0.14 | 0.19** | 0.19** | ||||||||||||||||||||||
变异系数CV | 229.38 | 214.53 | 214.53 | 196.30 | 196.30 | 237.14 | 214.53 | 168.19 | 162.38 | 213.78 | 249.87 | 224.39 | 208.89 | 224.39 | 213.78 | 195.62 | 204.25 | 218.94 | 173.81 | 177.09 | ||||||||||||||||||||||
17 | 均值Mean | 4.34 | 4.17 | 4.28 | 4.21 | 4.28 | 4.25 | 4.31 | 4.21 | 4.14 | 4.20 | 4.28 | 4.24 | 4.33 | 4.26 | 4.28 | 4.24 | 4.25 | 4.21 | 4.24 | 4.21 | |||||||||||||||||||||
方差Variance | 0.59 | 0.82* | 0.77 | 0.84* | 0.79 | 0.84* | 0.53 | 0.90** | 1.02** | 0.74* | 0.69 | 0.67 | 0.70 | 0.78* | 0.75* | 0.69 | 0.65 | 0.68 | 0.80* | 0.82** | ||||||||||||||||||||||
变异系数CV | 17.74 | 21.69 | 20.47 | 21.82 | 20.84 | 21.54 | 16.83 | 22.54 | 24.43 | 20.41 | 19.44 | 19.36 | 19.30 | 20.75 | 20.22 | 19.56 | 18.98 | 19.65 | 21.08 | 21.56 | ||||||||||||||||||||||
18 | 均值Mean | 0.15 | 0.17 | 0.15 | 0.21 | 0.19 | 0.14 | 0.17 | 0.24 | 0.22 | 0.16 | 0.17 | 0.17 | 0.14 | 0.19 | 0.19 | 0.18 | 0.19 | 0.15 | 0.22 | 0.22 | |||||||||||||||||||||
方差Variance | 0.13 | 0.14 | 0.13 | 0.17 | 0.16 | 0.12 | 0.14 | 0.18* | 0.18* | 0.14 | 0.14 | 0.14 | 0.12 | 0.15 | 0.15 | 0.15 | 0.15 | 0.13 | 0.17* | 0.17* | ||||||||||||||||||||||
变异系数CV | 239.33 | 225.18 | 237.14 | 196.3 | 204.97 | 250.75 | 225.18 | 181.13 | 188.40 | 230.17 | 224.39 | 224.39 | 249.87 | 208.89 | 208.89 | 213.78 | 208.89 | 236.31 | 191.59 | 191.59 | ||||||||||||||||||||||
19 | 均值Mean | 1.02 | 1.77 | 1.22 | 1.84 | 2.25 | 1.49 | 1.64 | 2.14 | 1.68 | 1.42 | 1.06 | 1.13 | 1.10 | 1.61 | 1.54 | 1.27 | 1.25 | 0.99 | 1.45 | 1.45 | |||||||||||||||||||||
方差Variance | 14.65 | 24.43** | 20.59** | 27.88** | 36.61 | 21.31** | 22.19** | 34.49** | 31.02** | 19.26** | 16.16 | 18.51* | 15.93 | 23.67** | 23.15** | 19.75** | 16.75 | 16 | 23.35** | 23.35** | ||||||||||||||||||||||
变异系数CV | 376.1 | 278.88 | 372.09 | 286.58 | 269.22 | 310.28 | 287.90 | 274.81 | 332.26 | 308.70 | 378.61 | 381.74 | 364.10 | 302.10 | 312.70 | 351.27 | 327.13 | 404.20 | 334.14 | 334.14 | ||||||||||||||||||||||
20 | 均值Mean | 2.81 | 2.85 | 2.82 | 2.82 | 2.78 | 2.76 | 2.75 | 2.76 | 2.86 | 2.83 | 2.80 | 2.89 | 2.86 | 2.82 | 2.82 | 2.78 | 2.80 | 2.94 | 2.88 | 2.85 | |||||||||||||||||||||
方差Variance | 0.77 | 0.92 | 0.80 | 1.00 | 0.88 | 0.75 | 0.75 | 0.92 | 0.91 | 0.81 | 0.82 | 0.91 | 0.95 | 0.83 | 0.85 | 0.73 | 0.76 | 0.97* | 0.94 | 0.88 | ||||||||||||||||||||||
变异系数CV | 31.25 | 33.69 | 31.68 | 35.38 | 33.76 | 31.26 | 31.57 | 34.62 | 33.34 | 31.79 | 32.34 | 33.03 | 33.99 | 32.40 | 32.67 | 30.83 | 31.22 | 33.50 | 33.64 | 32.88 |
[1] | 刘珮君, 王晓敏, 李国花, 等. 166份番茄种质资源的综合评价[J]. 云南大学学报(自然科学版), 2020, 42(4): 792-803. |
LIU P J, WANG X M, LI G H, et al. Comprehensive evaluation of 166 tomato germplasm resources[J]. Journal of Yunnan University (Natural Sciences Edition), 2020, 42(4): 792-803. (in Chinese with English abstract) | |
[2] | 龚亚菊, 吴丽艳, 黎志彬, 等. 大果番茄种质资源的遗传多样性和聚类分析[J]. 西南农业学报, 2013, 26(6): 2447-2450. |
GONG Y J, WU L Y, LI Z B, et al. Genetic diversity and cluster analysis of big fruit tomato germplasm resources[J]. Southwest China Journal of Agricultural Sciences, 2013, 26(6): 2447-2450. (in Chinese with English abstract) | |
[3] | 冯晶晶. 醋栗番茄(Solanum pimpinellifolium)遗传多样性及重要农艺性状全基因组关联分析[D]. 北京: 中国农业科学院, 2017. |
FENG J J. Genetic diversity and genome-wide association study on the key agronomic traits of wild tomato Solanum pimpinellifolium[D]. Beijing: Chinese Academy of Agricultural Sciences, 2017. (in Chinese with English abstract) | |
[4] | 袁东升, 王晓敏, 赵宇飞, 等. 100份番茄种质资源表型性状的遗传多样性分析[J]. 西北农业学报, 2019, 28(4): 594-601. |
YUAN D S, WANG X M, ZHAO Y F, et al. Genetic diversity analysis of 100 tomato germplasm resources based on phenotypic traits[J]. Acta Agriculturae Boreali-Occidentalis Sinica, 2019, 28(4): 594-601. (in Chinese with English abstract) | |
[5] | 刘子记, 牛玉, 朱婕, 等. 苦瓜核心种质资源构建方法的比较[J]. 华南农业大学学报, 2017, 38(1): 31-37. |
LIU Z J, NIU Y, ZHU J, et al. Comparison of different methods to construct core collections of Momordica charantia[J]. Journal of South China Agricultural University, 2017, 38(1): 31-37. (in Chinese with English abstract) | |
[6] | FRANKEL O H, BROWN A H D. Plant genetic resources today: a critical appraisal[M]// HOLDENJ H W, WILLIAMSJ T. Crop genetic resources:conservation and evaluation. London: George Allan and Unwin, 1984: 249-257. |
[7] | 李辛雷, 李纪元, 范正琪. 植物遗传资源核心种质研究进展[J]. 食品安全质量检测学报, 2014, 5(11): 3733-3738. |
LI X L, LI J Y, FAN Z Q. Advances in core collection of plant germplasm resources[J]. Journal of Food Safety & Quality, 2014, 5(11): 3733-3738. (in Chinese with English abstract) | |
[8] | 牛玉, 刘维侠, 杨衍, 等. 樱桃番茄核心种质资源构建策略[J]. 热带作物学报, 2019, 40(12): 2356-2363. |
NIU Y, LIU W X, YANG Y, et al. Construction strategy of core germplasm of cherry tomato[J]. Chinese Journal of Tropical Crops, 2019, 40(12): 2356-2363. (in Chinese with English abstract) | |
[9] | 贺滉, 杨衍, 牛玉, 等. 基于基因型值大果番茄核心种质的构建策略[J]. 北方园艺, 2020(15): 8-14. |
HE H, YANG Y, NIU Y, et al. Construction strategy of large fruit tomato core germplasm based on genotype value[J]. Northern Horticulture, 2020(15): 8-14. (in Chinese with English abstract) | |
[10] | 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. |
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) | |
[11] | 李锡香, 杜永臣. 番茄种质资源描述规范和数据标准[M]. 北京: 中国农业出版社, 2006. |
[12] | HU J, ZHU J, XU H M. Methods of constructing core collections by stepwise clustering with three sampling strategies based on the genotypic values of crops[J]. Theoretical and Applied Genetics, 2000, 101(1/2): 264-268. |
[13] | 钱玉源, 刘祎, 崔淑芳, 等. 基于表型的棉花种质资源遗传多样性分析及核心种质的抽提[J]. 华北农学报, 2019, 34(S1): 29-35. |
QIAN Y Y, LIU Y, CUI S F, et al. Analysis of genetic diversity of cotton germplasm resources and extraction of core germplasm based on phenotypic traits[J]. Acta Agriculturae Boreali-Sinica, 2019, 34(S1): 29-35. (in Chinese with English abstract) | |
[14] | 李秀诗, 付瑜华, 周祥, 等. 基于表型性状的薏苡初级核心种质库构建[J]. 热带作物学报, 2020, 41(4): 669-675. |
LI X S, FU Y H, ZHOU X, et al. Establishment of Coix lacrymajobi L. core germplasm collection based on phenotypic characters[J]. Chinese Journal of Tropical Crops, 2020, 41(4): 669-675. (in Chinese with English abstract) | |
[15] | 刘艳阳, 梅鸿献, 杜振伟, 等. 基于表型和SSR分子标记构建芝麻核心种质[J]. 中国农业科学, 2017, 50(13): 2433-2441. |
LIU Y Y, MEI H X, DU Z W, et al. Construction of core collection of sesame based on phenotype and molecular markers[J]. Scientia Agricultura Sinica, 2017, 50(13): 2433-2441. (in Chinese with English abstract) | |
[16] | 龙萄. 狗牙根核心种质构建与评价[D]. 海口: 海南大学, 2016. |
LONG T. Construction and evaluation of core collection in Cynodon Rich[D]. Haikou: Hainan University, 2016. (in Chinese with English abstract) | |
[17] | 邓学斌, 刘磊, 闫喆, 等. 加工番茄核心种质构建及其遗传背景分析[J]. 园艺学报, 2015, 42(7): 1299-1312. |
DENG X B, LIU L, YAN Z, et al. Development of a core collection of processing tomato germplasms and analysis of genetic background[J]. Acta Horticulturae Sinica, 2015, 42(7): 1299-1312. (in Chinese with English abstract) | |
[18] | 郭琰. 狗牙根表型遗传多样性分析及核心种质构建研究[D]. 洛阳: 河南科技大学, 2015. |
GUO Y. Study on phenotypic diversity and construction core collection of bermudagrass[D]. Luoyang: Henan University of Science and Technology, 2015. (in Chinese with English abstract) | |
[19] | 王建成. 构建植物遗传资源核心种质新方法的研究[D]. 杭州: 浙江大学, 2006. |
WANG J C. Studies on new methods for constructing core collection of plant germplasm resources[D]. Hangzhou: Zhejiang University, 2006. (in Chinese with English abstract) | |
[20] | 雷刚, 周坤华, 方荣, 等. 基于表型数据的辣椒核心种质构建研究[J]. 西北植物学报, 2016, 36(4): 804-810. |
LEI G, ZHOU K H, FANG R, et al. Studies on the constructing of pepper core collection based on phenotypic data[J]. Acta Botanica Boreali-Occidentalia Sinica, 2016, 36(4): 804-810. (in Chinese with English abstract) | |
[21] | 郝晓鹏, 王燕, 田翔, 等. 基于农艺性状的山西普通菜豆初级核心种质构建[J]. 植物遗传资源学报, 2016, 17(5): 815-823. |
HAO X P, WANG Y, TIAN X, et al. Construction of primary core collection of common bean (Phaseolus vulgaris L.) based on agronomic traits in Shanxi Province[J]. Journal of Plant Genetic Resources, 2016, 17(5): 815-823. (in Chinese with English abstract) | |
[22] | 张欢, 王东, 段帆, 等. 基于水青树叶表型性状的核心种质资源库构建策略[J]. 林业科学研究, 2019, 32(2): 166-173. |
ZHANG H, WANG D, DUAN F, et al. Construction strategy of core collection based on leaf phenotypic traits of Tetracentron sinense[J]. Forest Research, 2019, 32(2): 166-173. (in Chinese with English abstract) | |
[23] | 徐盛春, 郑华章, 冯志娟, 等. 菜用豌豆核心种质构建的关键策略[J]. 浙江大学学报(农业与生命科学版), 2019, 45(4): 401-406. |
XU S C, ZHENG H Z, FENG Z J, et al. Key construction strategies for core germplasm collection in vegetable pea (Pisum sativum)[J]. Journal of Zhejiang University (Agriculture and Life Sciences), 2019, 45(4): 401-406. (in Chinese with English abstract) |
[1] | 金宝霞, 王伟杰, 朱晓林, 王贤, 魏小红. 不同激素组合对番茄离体再生和相关基因表达的影响[J]. 浙江农业学报, 2022, 34(9): 1889-1900. |
[2] | 闫梅, 姚彦东, 牟开萍, 淡媛媛, 李伟泰, 廖伟彪. 脱落酸通过提高抗氧化酶活性与基因表达参与富氢水增强番茄幼苗抗旱性[J]. 浙江农业学报, 2022, 34(9): 1901-1910. |
[3] | 杨海龙, 王晖, 雷锦超, 蔡金洋. 浙江省早籼稻种质资源的表型多样性分析与评价[J]. 浙江农业学报, 2022, 34(8): 1571-1581. |
[4] | 李旺雄, 张洋, 唐中祺, 郁继华. 平衡施肥对设施基质栽培番茄生长、品质、矿质元素含量与产量的影响[J]. 浙江农业学报, 2022, 34(8): 1648-1660. |
[5] | 戴前莉, 朱恒星, 卢敏, 黄飞逸, 陈本文, 陈琴, 尹思琴, 祝元春. 重庆老鹰茶种质资源调查与评价[J]. 浙江农业学报, 2022, 34(3): 447-456. |
[6] | 王慧茹, 李建设, 闫思华, 高艳明. 整枝方式对樱桃番茄冠层截获和荧光特性的影响[J]. 浙江农业学报, 2022, 34(3): 525-533. |
[7] | 裴芸, 徐秀红, 陆锦彪, 陈阿敏, 张万萍. 151份贵州地方樱桃番茄资源的遗传多样性分析[J]. 浙江农业学报, 2022, 34(2): 310-316. |
[8] | 莫言玲, 张文静, 罗亚兰, 曾静, 陈静静, 刘义华. 宽柄芥种质资源农艺性状与营养品质性状鉴定与评价[J]. 浙江农业学报, 2022, 34(2): 317-328. |
[9] | 龚伟杰, 刘洪, 黄萍, 王慧, 周倩. 番茄匍柄霉原生质体的制备与再生体系构建[J]. 浙江农业学报, 2022, 34(2): 337-342. |
[10] | 王郅琪, 孙建, 梁俊超, 赵云燕, 颜廷献, 颜小文, 危文亮, 乐美旺. 基于分子标记的江西省芝麻地方种质遗传多样性分析[J]. 浙江农业学报, 2021, 33(9): 1565-1580. |
[11] | 何庆海, 刘本同, 周政德, 方茹, 杨少宗. 基于枝条和叶片表型性状的掌叶覆盆子种质资源多样性研究[J]. 浙江农业学报, 2021, 33(9): 1660-1667. |
[12] | 赵洪喜, 刘继兵. 宁夏部分地区奶牛球虫感染情况调查与遗传进化分析[J]. 浙江农业学报, 2021, 33(8): 1379-1384. |
[13] | 张静珍, 王连军, 雷剑, 柴沙沙, 杨新笋, 张文英. 基于cpSSR标记的山药种质资源DNA指纹图谱构建及遗传多样性分析[J]. 浙江农业学报, 2021, 33(7): 1222-1233. |
[14] | 安红卫, 宋勤飞, 牛素贞. 贵州茶树种质资源遗传多样性、群体结构和遗传分化研究[J]. 浙江农业学报, 2021, 33(7): 1234-1243. |
[15] | 张宁, 吴华瑞, 韩笑, 缪祎晟. 基于多尺度和注意力机制的番茄病害识别方法[J]. 浙江农业学报, 2021, 33(7): 1329-1338. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||