Grey Relativity Analysis on Main Agronomic Characteristics and Yields of Sweet Sorghum Varieties (Lines)
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摘要: 为了对现时期江苏沿海地区优质高产甜高粱新品种的选育提供理论依据，通过灰色关联度分析法对15个甜高粱新品种（系）14个农艺性状与产量数据进行分析。结果表明：与鲜重产量密切相关的农艺性状有茎秆出汁率、株高、生育期、茎粗等；丝黑穗病接种发病率同时与茎粗、分蘖数、倾斜率、倒折率、穗长关系最密切。说明在甜高粱群体产量、品质改良的过程中，要注重茎秆出汁率、株高、生育期、茎粗的选育力度，同时对丝黑穗病接种发病率的鉴定也尤为重要。Abstract: To establish an information basis for breeding newhigh-quality, high-yieldcultivars for the agriculture in the coastal area of Jiangsu province, 14 agronomic characteristics and yields of 15 sweet sorghum varieties(lines) were subjected to the grey relativity analysis. The results showed that the agronomic characteristicsmost closely related to theweight of fresh matters were stem juice rate, plant height, growth period, and stem diameter. And, the incidence of head smut disease after vaccination highly correlated to the stem diameter, tiller number, tilt angle, broken stalk percentage, and length of grain ear. Hence, in breeding new varieties of sweet sorghum, the agronomic traits of stem juice rate, plant height, growth period and stem diameter, as well as the head smut vaccination efficacy, should bethe primary criteria forevaluation.
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Key words:
- sweet sorghum /
- agronomic traits /
- yield /
- grey relative analysis
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表 1 主要农艺性状的平均值
Table 1. Average values on main agronomic characteristics
编号 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 S1 348.8 2.2 1.4 135.5 25.0 11.7 26.5 64.6 28.8 67.5 17.4 49.1 2.3 282.1 5063.4 S2 341.1 2.3 1.6 130.0 19.8 9.3 27.8 58.8 22.2 78.0 17.3 46.5 54.8 232.5 5021.6 S3 366.4 2.3 1.3 141.0 25.2 6.9 27.8 34.3 25.0 0.0 19.5 50.0 1.6 216.3 5641.9 S4 354.0 2.3 1.4 134.5 27.6 18.0 32.6 58.7 23.5 82.6 15.7 49.1 19.1 257.4 5279.3 S5 351.8 2.1 1.3 131.0 32.1 19.3 27.7 65.1 30.3 93.2 15.2 45.7 2.8 260.6 4481.6 S6 360.8 2.4 1.3 133.0 24.4 19.6 28.8 65.9 27.2 87.3 17.3 46.4 5.7 300.6 4985.1 S7 319.3 2.1 1.7 122.0 28.9 27.8 27.7 56.9 25.3 88.0 17.0 48.9 59.0 230.9 4559.8 S8 312.4 2.1 1.3 124.0 27.0 26.4 31.1 59.3 27.7 0.0 16.4 45.7 15.8 259.1 4438.1 S9 350.5 3.1 1.3 134.0 30.5 13.2 26.9 75.6 22.7 0.0 15.7 48.6 13.2 284.4 4976.6 S10 350.5 2.0 1.3 130.0 34.7 19.3 28.4 68.7 28.5 94.4 17.1 46.7 5.4 296.0 4669.6 S11 354.4 2.1 1.3 135.0 27.5 14.3 28.1 75.1 28.7 94.9 14.5 47.3 1.7 305.9 5188.4 S12 338.7 2.0 1.2 135.0 19.3 12.5 28.8 65.8 31.0 0.0 18.1 45.3 0.8 257.7 4719.0 S13 355.3 2.1 1.2 129.0 28.0 16.0 31.8 59.3 26.2 62.2 17.6 46.7 18.8 285.5 4999.2 S14 340.8 2.1 1.1 132.0 23.2 14.3 25.7 52.5 31.9 0.0 19.1 48.5 0.0 256.0 5403.1 S15 371.8 2.2 1.2 138.0 26.7 14.6 32.9 55.5 22.7 84.5 17.0 51.9 17.6 215.9 5818.4 
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表 2 试验数据的标准化值
Table 2. Standardized values of test data
编号 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 S1 0.0649 -0.0993 0.4781 0.6567 -0.4003 -0.7878 -1.0533 0.3532 0.6413 0.2883 0.2995 0.7182 -0.6607 0.6573 0.1155 S2 -0.4219 0.2731 1.7821 -0.4603 -1.6545 -1.2068 -0.4681 -0.2276 -1.4541 0.5407 0.2259 -0.6753 2.1655 -1.0256 0.0129 S3 1.1776 0.2731 -0.1739 1.7736 -0.3521 -1.6257 -0.4681 -2.6811 -0.5651 -1.3343 1.8462 1.2006 -0.6984 -1.5753 1.5349 S4 0.3936 0.2731 0.4781 0.4536 0.2267 0.3119 1.6925 -0.2377 -1.0414 0.6513 -0.9525 0.7182 0.2437 -0.1807 0.6452 S5 0.2546 -0.4717 -0.1739 -0.2572 1.3120 0.5388 -0.5131 0.4032 1.1176 0.9061 -1.3208 -1.1041 -0.6338 -0.0722 -1.3121 S6 0.8235 0.6455 -0.1739 0.1489 -0.5451 0.5912 -0.0180 0.4833 0.1333 0.7643 0.2259 -0.7289 -0.4777 1.2851 -0.0767 S7 -1.8001 -0.4717 2.4341 -2.0850 0.5402 2.0225 -0.5131 -0.4179 -0.4699 0.7811 0.0049 0.6110 2.3916 -1.0799 -1.1202 S8 -2.2363 -0.4717 -0.1739 -1.6789 0.0820 1.7781 1.0173 -0.1776 0.2921 -1.3343 -0.4370 -1.1041 0.0660 -0.1231 -1.4188 S9 0.1724 3.2526 -0.1739 0.3520 0.9261 -0.5260 -0.8733 1.4547 -1.2954 -1.3343 -0.9525 0.4502 -0.0739 0.7354 -0.0975 S10 0.1724 -0.8442 -0.1739 -0.4603 1.9390 0.5388 -0.1981 0.7637 0.5461 0.9350 0.0786 -0.5681 -0.4938 1.1290 -0.8508 S11 0.4189 -0.4717 -0.1739 0.5551 0.2026 -0.3340 -0.3331 1.4046 0.6096 0.9470 -1.8364 -0.2465 -0.6930 1.4649 0.4222 S12 -0.5736 -0.8442 -0.8259 0.5551 -1.7750 -0.6482 -0.0180 0.4733 1.3398 -1.3343 0.8151 -1.3185 -0.7414 -0.1706 -0.7296 S13 0.4758 -0.4717 -0.8259 -0.6634 0.3232 -0.0372 1.3324 -0.1776 -0.1841 0.1609 0.4468 -0.5681 0.2275 0.7727 -0.0421 S14 -0.4409 -0.4717 -1.4779 -0.0542 -0.8345 -0.3340 -1.4134 -0.8585 1.6256 -1.3343 1.5516 0.3966 -0.7845 -0.2282 0.9490 S15 1.5190 -0.0993 -0.8259 1.1644 0.0096 -0.2816 1.8275 -0.5581 -1.2954 0.6970 0.0049 2.2189 0.1629 -1.5888 1.9680
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表 3 鲜重产量与各农艺性状的关联系数及关联度
Table 3. Relational coefficients and degrees between fresh matter weight and other agronomic traits
编号 ξ1 ξ2 ξ3 ξ4 ξ5 ξ6 ξ7 ξ8 ξ9 ξ10 ξ11 ξ12 ξ13 ξ14 S1 0.9780 0.9089 0.8545 0.7969 0.8046 0.7011 0.6443 0.9000 0.8016 0.9256 0.9211 0.7788 0.7320 0.7967 S2 0.8303 0.8915 0.5445 0.8179 0.5592 0.6344 0.8154 0.8990 0.5905 0.8010 0.9096 0.7550 0.4955 0.6710 S3 0.8564 0.6265 0.5531 0.8996 0.5285 0.4007 0.5135 0.3338 0.5017 0.4242 0.8726 0.8644 0.4863 0.4046 S4 0.8947 0.8513 0.9280 0.9181 0.8356 0.8648 0.6691 0.7059 0.5564 0.9986 0.5697 0.9680 0.8413 0.7196 S5 0.5745 0.7160 0.6504 0.6675 0.4461 0.5333 0.7262 0.5522 0.4653 0.4880 0.9974 0.9116 0.7577 0.6306 S6 0.7018 0.7460 0.9574 0.9047 0.8194 0.7605 0.9744 0.7913 0.9108 0.7159 0.8758 0.7649 0.8415 0.6085 S7 0.7573 0.7659 0.3729 0.6871 0.5602 0.4021 0.7776 0.7512 0.7654 0.5266 0.6530 0.5499 0.3757 0.9827 S8 0.7217 0.6910 0.6297 0.8915 0.5850 0.3980 0.4646 0.6304 0.5528 0.9629 0.6833 0.8714 0.5876 0.6203 S9 0.8878 0.3868 0.9665 0.8255 0.6742 0.8323 0.7321 0.5768 0.6386 0.6312 0.7125 0.7950 0.9904 0.7179 S10 0.6742 0.9984 0.7581 0.8450 0.4311 0.6036 0.7647 0.5671 0.6024 0.5422 0.6951 0.8831 0.8565 0.5165 S11 1.0000 0.7033 0.7807 0.9421 0.9070 0.7371 0.7373 0.6831 0.9198 0.8019 0.4835 0.7603 0.6550 0.6701 S12 0.9325 0.9499 0.9578 0.6223 0.6695 0.9643 0.7488 0.6377 0.5054 0.7783 0.5780 0.7828 0.9959 0.7916 S13 0.8040 0.8320 0.7301 0.7735 0.8536 0.9992 0.6062 0.9410 0.9383 0.9135 0.8130 0.8015 0.8880 0.7223 S14 0.6036 0.5983 0.4655 0.6786 0.5425 0.6226 0.4723 0.5392 0.7582 0.4808 0.7789 0.7936 0.5496 0.6426 S15 0.8257 0.5056 0.4307 0.7251 0.5192 0.4845 0.9389 0.4556 0.3930 0.6248 0.5186 0.8950 0.5395 0.3727 关联度 0.8029 0.7448 0.7053 0.7997 0.6491 0.6626 0.7057 0.6643 0.6600 0.7077 0.7375 0.8117 0.7062 0.6578 位次 2 4 9 3 14 11 8 10 12 6 5 1 7 13
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表 4 甜高粱各农艺性状的关联度矩阵
Table 4. Correlation matrix among agronomic characteristics of new sweet Sorghum varieties
编号 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X1 0.739 0.695 0.827 0.693 0.730 0.708 0.714 0.649 0.733 0.685 0.740 0.694 0.727 0.804 X2 0.752 0.766 0.737 0.728 0.743 0.721 0.757 0.672 0.716 0.730 0.743 0.773 0.705 0.758 X3 0.707 0.764 0.727 0.719 0.748 0.727 0.714 0.687 0.723 0.678 0.733 0.841 0.693 0.717 X4 0.835 0.734 0.726 0.659 0.673 0.705 0.724 0.692 0.696 0.718 0.797 0.687 0.718 0.809 X5 0.673 0.696 0.689 0.625 0.714 0.649 0.698 0.690 0.712 0.623 0.680 0.755 0.684 0.629 X6 0.724 0.726 0.731 0.655 0.726 0.705 0.723 0.694 0.727 0.641 0.655 0.766 0.717 0.657 X7 0.702 0.702 0.712 0.689 0.663 0.706 0.661 0.671 0.666 0.669 0.685 0.719 0.654 0.701 X8 0.726 0.755 0.714 0.725 0.729 0.740 0.680 0.753 0.747 0.715 0.656 0.685 0.810 0.678 X9 0.663 0.670 0.687 0.694 0.720 0.713 0.689 0.753 0.710 0.754 0.647 0.650 0.734 0.674 X10 0.748 0.718 0.727 0.700 0.745 0.748 0.689 0.750 0.713 0.690 0.713 0.709 0.716 0.723 X11 0.698 0.729 0.678 0.720 0.657 0.662 0.688 0.716 0.754 0.687 0.698 0.689 0.662 0.750 X12 0.729 0.718 0.711 0.781 0.687 0.649 0.678 0.627 0.618 0.687 0.671 0.691 0.639 0.805 X13 0.707 0.773 0.843 0.689 0.778 0.783 0.737 0.685 0.650 0.706 0.689 0.716 0.674 0.719 X14 0.708 0.668 0.660 0.687 0.682 0.703 0.637 0.783 0.700 0.678 0.625 0.630 0.639 0.636 X15 0.803 0.745 0.705 0.800 0.649 0.663 0.706 0.664 0.660 0.708 0.738 0.812 0.706 0.658
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表 5 甜高粱新品种(系)的加权关联度及其排序
Table 5. Weighted correlation degree and sequential order of agronomic characteristics of new sweet Sorghum varieties(lines)
品种(系) 加权关联度 排序 辽甜14-1 0.8265 2 中科甜5号 0.7345 8 311A/LTR108 0.6033 14 辽甜14-2 0.8133 3 辽甜6号 0.6577 11 辽甜14-3 0.8123 4 吉甜杂2号 0.6377 12 辽甜15-1 0.6711 10 3436A×Pi57 0.7431 7 辽甜15-2 0.7036 9 科甜5号 0.7722 6 154A3×Pi571 0.7813 5 辽甜15-4 0.8273 1 晋甜1401 0.6118 13 辽甜15-3 0.5974 15
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