不同鲜食玉米品种(系)农艺性状与产量的比较分析
郝曦煜, 张仲鹃, 郑成栋, 张斯文, 张瑾, 郑春秀, 吴世凯, 王雪

Comparative analysis of agronomic traits and yield of different fresh corn varieties (series)
HAO Xiyu, ZHANG Zhongjuan, ZHENG Chengdong, ZHANG Siwen, ZHANG Jin, ZHENG Chunxiu, WU Shikai, WANG Xue
表4 鲜食玉米农艺性状的评价结果
Tab.4 Evaluation results of agronomic traits of fresh corn
品种
Varieties
F1 F2 F3 F4 F5 F 排名
Ranking
V1 1.192 -1.130 -0.614 0.776 -1.025 0.097 33
V2 0.466 -1.214 -1.168 0.266 -0.138 -0.270 41
V3 0.753 0.579 0.814 1.143 -0.676 0.633 22
V4 2.635 2.349 -1.811 0.467 -2.698 1.412 9
V5 -0.317 -1.849 -1.580 -0.217 -0.411 -0.897 54
V6 1.471 -2.125 -0.327 -0.223 -0.654 -0.120 37
V7 -0.148 -2.607 -1.648 1.299 -0.740 -0.924 56
V8 -2.267 -2.900 1.942 2.019 1.315 -1.260 59
V9 0.914 0.645 0.102 0.259 1.330 0.714 20
V10 -0.721 0.534 0.022 -2.033 -0.778 -0.416 43
V11 1.130 0.661 -0.199 0.258 0.093 0.675 21
V12 1.691 0.565 -1.741 1.227 0.681 0.862 19
V13 2.678 -0.678 0.392 1.828 0.710 1.206 13
V14 2.751 2.728 -1.376 2.353 0.813 2.100 1
V15 1.982 0.172 1.117 0.404 -1.463 0.916 18
V16 1.353 -0.659 0.331 0.795 0.696 0.545 23
V17 1.786 1.353 -0.231 -0.338 0.010 1.077 15
V18 0.806 0.163 0.978 0.112 -1.393 0.386 28
V19 -0.634 0.639 0.485 -0.618 -1.151 -0.183 39
V20 -1.583 -1.339 1.340 1.104 1.186 -0.692 50
V21 0.615 -3.944 0.531 1.066 0.392 -0.693 51
V22 3.410 0.701 -0.375 0.125 0.745 1.654 4
V23 3.790 0.372 -2.195 0.584 1.752 1.650 5
V24 2.184 1.032 0.461 -0.377 1.175 1.314 11
V25 1.346 1.286 -0.960 -2.579 -0.844 0.493 25
V26 2.453 0.714 -0.994 -1.161 0.983 1.080 14
V27 2.326 0.205 1.060 -1.012 0.398 1.068 16
V28 2.906 0.727 0.820 -2.330 0.448 1.302 12
V29 -1.614 0.682 0.333 0.611 0.771 -0.310 42
V30 -2.448 -2.576 -1.867 -0.824 0.847 -1.985 67
V31 -1.898 -2.453 -0.308 0.279 -1.215 -1.606 62
V32 -1.631 -4.642 -0.194 0.285 -1.287 -2.126 68
V33 -2.646 -2.543 -0.650 1.258 -1.784 -1.925 66
V34 1.680 3.071 -0.567 1.979 -1.002 1.655 3
V35 1.677 2.550 -0.363 -0.066 0.523 1.436 7
V36 -2.545 -0.740 -2.031 -0.108 -0.121 -1.513 61
V37 -4.382 3.025 1.080 0.000 0.396 -0.791 53
V38 -1.279 3.364 -0.836 1.694 -0.033 0.532 24
V39 -0.737 -4.542 0.616 -1.085 -0.469 -1.713 63
V40 -5.578 3.209 -0.109 0.062 -0.759 -1.450 60
V41 -3.786 2.988 0.743 -1.577 0.253 -0.766 52
V42 -6.917 3.258 -1.226 -0.264 -0.855 -2.154 69
V43 -0.319 0.443 0.615 -1.692 0.408 -0.079 36
V44 1.971 -2.817 1.471 -2.034 -0.290 -0.078 35
V45 3.414 -0.923 -0.206 -1.449 0.871 1.048 17
V46 -0.393 -0.995 0.170 0.001 -0.386 -0.466 46
V47 -1.135 0.107 1.047 1.215 0.982 -0.121 38
V48 -2.180 -0.838 1.098 0.175 1.407 -0.898 55
V49 -1.745 1.127 1.087 -0.231 0.700 -0.246 40
V50 0.315 -0.207 2.798 -0.429 -0.615 0.278 30
V51 3.266 0.863 0.266 0.347 -1.021 1.590 6
V52 3.624 0.944 2.532 -0.032 -1.418 1.934 2
V53 1.179 -0.907 0.765 0.484 -0.728 0.299 29
V54 0.583 0.243 -0.953 -1.273 -1.169 -0.017 34
V55 -1.053 0.130 -0.855 0.122 0.123 -0.469 47
V56 1.041 0.984 0.056 -2.446 -0.092 0.463 26
V57 -2.336 -0.618 0.699 0.035 -0.289 -1.095 57
V58 -4.928 1.020 -0.418 -1.076 1.670 -1.771 64
V59 -0.399 -1.024 -0.118 -1.321 1.127 -0.522 49
V60 -0.883 -0.350 1.581 -0.091 -1.546 -0.434 45
V61 -2.445 -3.234 0.544 0.110 -0.004 -1.888 65
V62 0.959 2.287 0.973 1.097 1.226 1.383 10
V63 1.071 1.521 2.875 1.601 0.653 1.417 8
V64 -1.362 -2.428 -1.314 1.372 2.005 -1.108 58
V65 -0.460 -0.111 -0.978 -2.273 1.714 -0.425 44
V66 1.291 -0.647 -1.691 -0.781 0.990 0.165 31
V67 1.399 -0.820 -1.663 0.215 -0.993 0.104 32
V68 -2.230 1.934 -1.034 0.809 -1.165 -0.486 48
V69 -1.116 2.686 0.855 0.104 -0.184 0.407 27