播期对滇西北冬播藜麦农艺性状和产量的影响

杨文高, 袁文珏, 李兆光, 和桂青, 和琼姬, 王蕊, 李燕, 叶磊, 侯志江

Effects of Winter Sowing Date on Agronomic Traits and Yield of Quinoa in Northwestern Yunnan, China

Yang Wengao, Yuan Wenjue, Li Zhaoguang, He Guiqing, He Qiongji, Wang Rui, Li Yan, Ye Lei, Hou Zhijiang

表4 不同播期藜麦品系各性状的隶属函数值与综合评价

Table 4 Membership function values and comprehensive evaluation of different traits of quinoa lines at different sowing dates

处理 Treatment 品系 Line 株高 Plant height 茎粗 Stem diameter 主穗长 Main panicle length 有效分枝数 Number of effective branches 单株产量 Yield per plant 千粒重 1000-grain weight 平均值 Mean 排序 Order T1 Q1 0.068 0.252 0.580 0.029 0.076 0.575 0.263 13 Q2 0.000 0.462 0.160 0.101 0.228 0.748 0.283 12 Q4 0.416 0.172 0.654 0.072 0.355 0.909 0.430 6 Q5 0.512 1.000 0.309 0.275 1.000 1.000 0.683 1 Q6 0.313 0.355 0.173 0.188 0.505 0.921 0.409 7 Q7 0.018 0.485 0.333 0.362 0.000 0.000 0.200 17 Q8 0.388 0.495 0.420 1.000 0.206 0.339 0.474 5 Q9 0.630 0.848 1.000 0.406 0.504 0.484 0.645 2 Q201802 0.093 0.677 0.753 0.348 0.214 0.264 0.391 8 Q201807 0.352 0.034 0.259 0.000 0.199 0.732 0.263 14 Q201808 0.431 0.000 0.309 0.072 0.439 0.575 0.304 11 Q201833 0.338 0.365 0.667 0.159 0.171 0.413 0.352 9 Q201843 0.189 0.217 0.370 0.116 0.395 0.744 0.338 10 Q201904 0.053 0.065 0.037 0.246 0.310 0.701 0.235 16 Q201909 0.246 0.036 0.000 0.043 0.343 0.791 0.243 15 Q201913 0.384 0.501 0.716 0.449 0.596 0.433 0.513 4 Q202020 1.000 0.381 0.914 0.130 0.558 0.839 0.637 3 T2 Q1 1.000 0.621 1.000 0.367 0.036 0.155 0.530 7 Q2 0.006 0.590 0.056 0.633 0.368 0.785 0.407 11 Q4 0.396 0.177 0.099 0.367 0.542 0.800 0.397 12 Q5 0.226 0.169 0.127 0.000 0.314 0.822 0.276 14 Q6 0.158 0.000 0.000 0.510 0.053 0.794 0.253 16 Q7 0.545 0.561 0.500 0.653 0.507 0.409 0.529 8 Q8 0.424 0.629 0.521 0.796 0.633 0.143 0.524 9 Q9 0.554 0.867 0.500 0.857 0.718 0.459 0.659 4 Q201802 0.622 0.388 0.437 0.776 0.000 0.001 0.371 13 Q201807 0.467 0.796 0.310 0.837 0.764 0.855 0.672 2 Q201808 0.359 0.369 0.275 0.245 0.301 0.027 0.263 15 Q201833 0.000 0.213 0.239 0.408 0.184 0.469 0.252 17 Q201843 0.514 0.733 0.176 0.816 0.311 0.850 0.567 5 Q201904 0.130 0.571 0.254 0.673 0.817 0.808 0.542 6 Q201909 0.375 0.870 0.211 1.000 0.755 1.002 0.702 1 Q201913 0.427 1.000 0.444 0.735 1.000 0.368 0.662 3 Q202020 0.616 0.324 0.190 0.408 0.321 0.773 0.439 10 T3 Q1 1.000 0.322 0.688 0.077 0.000 0.056 0.357 14 Q2 0.000 0.007 0.000 0.000 0.255 0.602 0.144 17 Q4 0.387 0.303 0.679 0.359 0.382 0.917 0.505 8 Q5 0.356 0.606 0.455 0.128 0.787 1.000 0.556 4 Q6 0.260 0.097 0.384 0.359 0.186 0.947 0.372 12 Q7 0.721 0.490 0.696 0.667 0.262 0.429 0.544 5 Q8 0.461 0.236 0.393 0.205 0.186 0.664 0.357 13 Q9 0.647 0.000 0.571 0.385 0.316 0.567 0.414 11 Q201802 0.598 0.061 0.589 0.436 0.071 0.049 0.300 16 Q201807 0.731 0.076 0.188 0.256 0.499 0.855 0.434 10 Q201808 0.619 0.500 0.161 0.462 0.304 0.641 0.448 9 Q201833 0.947 0.790 0.732 1.000 0.607 0.667 0.791 1 Q201843 0.864 0.268 1.000 0.641 0.063 0.237 0.512 7 Q201904 0.656 0.671 0.259 0.821 1.000 0.793 0.700 3 Q201909 0.746 0.306 0.491 0.795 0.355 0.554 0.541 6 Q201913 0.734 1.000 0.348 0.897 0.775 0.662 0.736 2 Q202020 0.551 0.555 0.438 0.462 0.038 0.000 0.340 15