Chinese Agricultural Science Bulletin ›› 2022, Vol. 38 ›› Issue (5): 17-22.doi: 10.11924/j.issn.1000-6850.casb2021-0154
Previous Articles Next Articles
BAI Wei1(), HU Yang1, HU Qingqing2, CUI Jinli1, ZHANG Baoying1, YANG Sumei1(
)
Received:
2021-02-19
Revised:
2021-05-27
Online:
2022-02-15
Published:
2022-03-17
Contact:
YANG Sumei
E-mail:bai_wei@126.com;yangsumei1965@163.com
CLC Number:
BAI Wei, HU Yang, HU Qingqing, CUI Jinli, ZHANG Baoying, YANG Sumei. Effect of Main Cultivation Factors on Yield of Oil Sunflower in North Hebei[J]. Chinese Agricultural Science Bulletin, 2022, 38(5): 17-22.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.casb.org.cn/EN/10.11924/j.issn.1000-6850.casb2021-0154
编码值 | X1播期(月/日) | X2密度/(株/hm2) | X3氮肥/(kg/hm2) | X4磷肥/(kg/hm2) | X5钾肥/(kg/hm2) |
---|---|---|---|---|---|
下星臂号-2 | 6/18 | 46500 | 0 | 0 | 0 |
下水平-1 | 6/25 | 51000 | 45.0 | 22.5 | 37.5 |
零水平0 | 7/2 | 55500 | 90.0 | 45.0 | 75.0 |
上水平1 | 7/9 | 60000 | 135.0 | 67.5 | 112.5 |
上星臂号2 | 7/16 | 64500 | 180.0 | 90.0 | 150.0 |
水平间隔Δ | 7 | 4500 | 45.0 | 22.5 | 37.5 |
编码值 | X1播期(月/日) | X2密度/(株/hm2) | X3氮肥/(kg/hm2) | X4磷肥/(kg/hm2) | X5钾肥/(kg/hm2) |
---|---|---|---|---|---|
下星臂号-2 | 6/18 | 46500 | 0 | 0 | 0 |
下水平-1 | 6/25 | 51000 | 45.0 | 22.5 | 37.5 |
零水平0 | 7/2 | 55500 | 90.0 | 45.0 | 75.0 |
上水平1 | 7/9 | 60000 | 135.0 | 67.5 | 112.5 |
上星臂号2 | 7/16 | 64500 | 180.0 | 90.0 | 150.0 |
水平间隔Δ | 7 | 4500 | 45.0 | 22.5 | 37.5 |
变异来源 | 平方和 | 自由度 | 均方 | 比值 | 显著水平 |
---|---|---|---|---|---|
X1 | 5.3582 | 1 | 5.3582 | 12.5842 | 0.0029 |
X2 | 1.8928 | 1 | 1.8928 | 4.4455 | 0.0522 |
X3 | 2.8017 | 1 | 2.8017 | 6.58 | 0.0215 |
X4 | 0.2904 | 1 | 0.2904 | 0.682 | 0.4218 |
X5 | 0.002 | 1 | 0.002 | 0.0047 | 0.946 |
X12 | 0.7503 | 1 | 0.7503 | 1.7622 | 0.2042 |
X22 | 3.2896 | 1 | 3.2896 | 7.726 | 0.014 |
X32 | 6.7528 | 1 | 6.7528 | 15.8598 | 0.0012 |
X42 | 0.4005 | 1 | 0.4005 | 0.9407 | 0.3475 |
X52 | 0.7381 | 1 | 0.7381 | 1.7335 | 0.2077 |
X1X2 | 1.3572 | 1 | 1.3572 | 3.1876 | 0.0944 |
X1X3 | 5.04 | 1 | 5.04 | 11.8371 | 0.0036 |
X1X4 | 0.0506 | 1 | 0.0506 | 0.1189 | 0.735 |
X1X5 | 0.1225 | 1 | 0.1225 | 0.2877 | 0.5996 |
X2X3 | 0.003 | 1 | 0.003 | 0.0071 | 0.9339 |
X2X4 | 0.0072 | 1 | 0.0072 | 0.017 | 0.8981 |
X2X5 | 0.8836 | 1 | 0.8836 | 2.0752 | 0.1703 |
X3X4 | 0.0002 | 1 | 0.0002 | 0.0005 | 0.982 |
X3X5 | 0.1521 | 1 | 0.1521 | 0.3572 | 0.559 |
X4X5 | 0.5776 | 1 | 0.5776 | 1.3566 | 0.2623 |
回归 | 30.4706 | 20 | 1.5235 | 3.57818 | 0.0044 |
剩余 | 6.3867 | 15 | 0.4258 | ||
失拟 | 3.9806 | 6 | 0.6634 | 2.48149 | 0.0718 |
误差 | 2.4062 | 9 | 0.2674 | ||
总和 | 36.8573 | 35 |
变异来源 | 平方和 | 自由度 | 均方 | 比值 | 显著水平 |
---|---|---|---|---|---|
X1 | 5.3582 | 1 | 5.3582 | 12.5842 | 0.0029 |
X2 | 1.8928 | 1 | 1.8928 | 4.4455 | 0.0522 |
X3 | 2.8017 | 1 | 2.8017 | 6.58 | 0.0215 |
X4 | 0.2904 | 1 | 0.2904 | 0.682 | 0.4218 |
X5 | 0.002 | 1 | 0.002 | 0.0047 | 0.946 |
X12 | 0.7503 | 1 | 0.7503 | 1.7622 | 0.2042 |
X22 | 3.2896 | 1 | 3.2896 | 7.726 | 0.014 |
X32 | 6.7528 | 1 | 6.7528 | 15.8598 | 0.0012 |
X42 | 0.4005 | 1 | 0.4005 | 0.9407 | 0.3475 |
X52 | 0.7381 | 1 | 0.7381 | 1.7335 | 0.2077 |
X1X2 | 1.3572 | 1 | 1.3572 | 3.1876 | 0.0944 |
X1X3 | 5.04 | 1 | 5.04 | 11.8371 | 0.0036 |
X1X4 | 0.0506 | 1 | 0.0506 | 0.1189 | 0.735 |
X1X5 | 0.1225 | 1 | 0.1225 | 0.2877 | 0.5996 |
X2X3 | 0.003 | 1 | 0.003 | 0.0071 | 0.9339 |
X2X4 | 0.0072 | 1 | 0.0072 | 0.017 | 0.8981 |
X2X5 | 0.8836 | 1 | 0.8836 | 2.0752 | 0.1703 |
X3X4 | 0.0002 | 1 | 0.0002 | 0.0005 | 0.982 |
X3X5 | 0.1521 | 1 | 0.1521 | 0.3572 | 0.559 |
X4X5 | 0.5776 | 1 | 0.5776 | 1.3566 | 0.2623 |
回归 | 30.4706 | 20 | 1.5235 | 3.57818 | 0.0044 |
剩余 | 6.3867 | 15 | 0.4258 | ||
失拟 | 3.9806 | 6 | 0.6634 | 2.48149 | 0.0718 |
误差 | 2.4062 | 9 | 0.2674 | ||
总和 | 36.8573 | 35 |
变异来源 | 平方和 | 自由度 | 均方 | 比值 | 显著水平 |
---|---|---|---|---|---|
X1 | 1.392 | 1 | 1.392 | 5.2595 | 0.0367 |
X2 | 0.1568 | 1 | 0.1568 | 0.5925 | 0.4534 |
X3 | 0.4161 | 1 | 0.4161 | 1.572 | 0.2291 |
X4 | 0.742 | 1 | 0.742 | 2.8036 | 0.1148 |
X5 | 0.4108 | 1 | 0.4108 | 1.5522 | 0.2319 |
X12 | 2.4976 | 1 | 2.4976 | 9.4368 | 0.0077 |
X22 | 1.7578 | 1 | 1.7578 | 6.6416 | 0.021 |
X32 | 3.4191 | 1 | 3.4191 | 12.9185 | 0.0027 |
X42 | 6.1075 | 1 | 6.1075 | 23.0762 | 0.0002 |
X52 | 0.7021 | 1 | 0.7021 | 2.6528 | 0.1242 |
X1X2 | 0.087 | 1 | 0.087 | 0.3288 | 0.5749 |
X1X3 | 1.2321 | 1 | 1.2321 | 4.6553 | 0.0476 |
X1X4 | 0.1056 | 1 | 0.1056 | 0.3991 | 0.5371 |
X1X5 | 2.1025 | 1 | 2.1025 | 7.9439 | 0.013 |
X2X3 | 0.5776 | 1 | 0.5776 | 2.1824 | 0.1603 |
X2X4 | 0.6972 | 1 | 0.6972 | 2.6343 | 0.1254 |
X2X5 | 3.1329 | 1 | 3.1329 | 11.8371 | 0.0036 |
X3X4 | 2.2801 | 1 | 2.2801 | 8.615 | 0.0102 |
X3X5 | 0.7482 | 1 | 0.7482 | 2.827 | 0.1134 |
X4X5 | 0.4356 | 1 | 0.4356 | 1.6458 | 0.219 |
回归 | 29.0008 | 20 | 1.45 | 5.47873 | 0.0003 |
剩余 | 3.97 | 15 | 0.2647 | ||
失拟 | 2.5215 | 6 | 0.4203 | 2.61118 | 0.0616 |
误差 | 1.4485 | 9 | 0.1609 | ||
总和 | 32.9708 | 35 |
变异来源 | 平方和 | 自由度 | 均方 | 比值 | 显著水平 |
---|---|---|---|---|---|
X1 | 1.392 | 1 | 1.392 | 5.2595 | 0.0367 |
X2 | 0.1568 | 1 | 0.1568 | 0.5925 | 0.4534 |
X3 | 0.4161 | 1 | 0.4161 | 1.572 | 0.2291 |
X4 | 0.742 | 1 | 0.742 | 2.8036 | 0.1148 |
X5 | 0.4108 | 1 | 0.4108 | 1.5522 | 0.2319 |
X12 | 2.4976 | 1 | 2.4976 | 9.4368 | 0.0077 |
X22 | 1.7578 | 1 | 1.7578 | 6.6416 | 0.021 |
X32 | 3.4191 | 1 | 3.4191 | 12.9185 | 0.0027 |
X42 | 6.1075 | 1 | 6.1075 | 23.0762 | 0.0002 |
X52 | 0.7021 | 1 | 0.7021 | 2.6528 | 0.1242 |
X1X2 | 0.087 | 1 | 0.087 | 0.3288 | 0.5749 |
X1X3 | 1.2321 | 1 | 1.2321 | 4.6553 | 0.0476 |
X1X4 | 0.1056 | 1 | 0.1056 | 0.3991 | 0.5371 |
X1X5 | 2.1025 | 1 | 2.1025 | 7.9439 | 0.013 |
X2X3 | 0.5776 | 1 | 0.5776 | 2.1824 | 0.1603 |
X2X4 | 0.6972 | 1 | 0.6972 | 2.6343 | 0.1254 |
X2X5 | 3.1329 | 1 | 3.1329 | 11.8371 | 0.0036 |
X3X4 | 2.2801 | 1 | 2.2801 | 8.615 | 0.0102 |
X3X5 | 0.7482 | 1 | 0.7482 | 2.827 | 0.1134 |
X4X5 | 0.4356 | 1 | 0.4356 | 1.6458 | 0.219 |
回归 | 29.0008 | 20 | 1.45 | 5.47873 | 0.0003 |
剩余 | 3.97 | 15 | 0.2647 | ||
失拟 | 2.5215 | 6 | 0.4203 | 2.61118 | 0.0616 |
误差 | 1.4485 | 9 | 0.1609 | ||
总和 | 32.9708 | 35 |
年份 | 单因子曲线方程 | 5因子 | 最高产量/ (kg/hm2) |
---|---|---|---|
2016 | Y1=7.746+0.473 X1-0.153 X12 | X1=7月12日 | Y1=3218.547 |
Y2=7.746-0.281 X2-0.321 X22 | X2=53529株/hm2 | Y2=3098.311 | |
Y3=7.746-0.342 X3-0.459 X32 | X3=73.265kg/hm2 | Y3=3099.119 | |
Y4=7.746+0.110 X4-0.112 X42 | X4=56.061kg/hm2 | Y4=3084.638 | |
Y5=7.746-0.009 X5-0.152 X52 | X5=73.868kg/hm2 | Y5=3073.964 | |
2017 | Y1=8.297-0.241 X1-0.279 X12 | X1=6月29日 | Y1=3313.087 |
Y2=8.297+0.081 X2-0.234 X22 | X2=56276株/hm2 | Y2=3295.258 | |
Y3=8.297-0.132 X2-0.327 X22 | X3=80.937kg/hm2 | Y3=3297.754 | |
Y4=8.297-0.176 X4-0.437 X42 | X4=40.472kg/hm2 | Y4=3299.512 | |
Y5=8.297-0.131 X5-0.148 X52 | X5=58.440kg/hm2 | Y5=3303.955 |
年份 | 单因子曲线方程 | 5因子 | 最高产量/ (kg/hm2) |
---|---|---|---|
2016 | Y1=7.746+0.473 X1-0.153 X12 | X1=7月12日 | Y1=3218.547 |
Y2=7.746-0.281 X2-0.321 X22 | X2=53529株/hm2 | Y2=3098.311 | |
Y3=7.746-0.342 X3-0.459 X32 | X3=73.265kg/hm2 | Y3=3099.119 | |
Y4=7.746+0.110 X4-0.112 X42 | X4=56.061kg/hm2 | Y4=3084.638 | |
Y5=7.746-0.009 X5-0.152 X52 | X5=73.868kg/hm2 | Y5=3073.964 | |
2017 | Y1=8.297-0.241 X1-0.279 X12 | X1=6月29日 | Y1=3313.087 |
Y2=8.297+0.081 X2-0.234 X22 | X2=56276株/hm2 | Y2=3295.258 | |
Y3=8.297-0.132 X2-0.327 X22 | X3=80.937kg/hm2 | Y3=3297.754 | |
Y4=8.297-0.176 X4-0.437 X42 | X4=40.472kg/hm2 | Y4=3299.512 | |
Y5=8.297-0.131 X5-0.148 X52 | X5=58.440kg/hm2 | Y5=3303.955 |
年份 | X1 | 平均数 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
-2 | -1.5 | -1 | -0.5 | 0 | 0.5 | 1 | 1.5 | 2 | ||||
2016 | X3 | 2 | 5.292 | 6.486 | 7.451 | 8.186 | 8.691 | 8.967 | 9.013 | 8.829 | 8.415 | 7.926 |
1.5 | 5.617 | 6.671 | 7.495 | 8.090 | 8.455 | 8.590 | 8.496 | 8.172 | 7.618 | 7.689 | ||
1 | 5.942 | 6.856 | 7.540 | 7.994 | 8.219 | 8.214 | 7.979 | 7.515 | 6.820 | 7.453 | ||
0.5 | 6.267 | 7.041 | 7.584 | 7.898 | 7.983 | 7.837 | 7.462 | 6.857 | 6.023 | 7.217 | ||
0 | 6.592 | 7.225 | 7.629 | 7.802 | 7.746 | 7.461 | 6.945 | 6.200 | 5.225 | 6.981 | ||
-0.5 | 6.917 | 7.410 | 7.673 | 7.706 | 7.510 | 7.084 | 6.428 | 5.543 | 4.428 | 6.744 | ||
-1 | 7.242 | 7.595 | 7.717 | 7.610 | 7.274 | 6.707 | 5.912 | 4.886 | 3.630 | 6.508 | ||
-1.5 | 7.567 | 7.779 | 7.762 | 7.514 | 7.038 | 6.331 | 5.395 | 4.229 | 2.833 | 6.272 | ||
-2 | 7.892 | 7.964 | 7.806 | 7.419 | 6.801 | 5.954 | 4.878 | 3.571 | 2.035 | 6.036 | ||
平均数 | 6.592 | 7.225 | 7.629 | 7.802 | 7.746 | 7.461 | 6.945 | 6.200 | 5.225 | |||
2017 | X3 | 2 | 4.280 | 5.130 | 5.816 | 6.339 | 6.698 | 6.894 | 6.926 | 6.795 | 6.500 | 6.153 |
1.5 | 5.167 | 5.947 | 6.564 | 7.017 | 7.307 | 7.434 | 7.397 | 7.196 | 6.832 | 6.762 | ||
1 | 5.914 | 6.625 | 7.173 | 7.556 | 7.777 | 7.834 | 7.728 | 7.458 | 7.024 | 7.232 | ||
0.5 | 6.522 | 7.163 | 7.641 | 7.956 | 8.107 | 8.095 | 7.919 | 7.580 | 7.077 | 7.562 | ||
0 | 6.990 | 7.562 | 7.970 | 8.215 | 8.297 | 8.215 | 7.970 | 7.562 | 6.990 | 7.752 | ||
-0.5 | 7.318 | 7.820 | 8.160 | 8.335 | 8.348 | 8.197 | 7.882 | 7.404 | 6.763 | 7.803 | ||
-1 | 7.506 | 7.939 | 8.209 | 8.316 | 8.259 | 8.038 | 7.654 | 7.107 | 6.396 | 7.714 | ||
-1.5 | 7.555 | 7.919 | 8.119 | 8.156 | 8.030 | 7.740 | 7.287 | 6.670 | 5.890 | 7.485 | ||
-2 | 7.464 | 7.758 | 7.889 | 7.857 | 7.661 | 7.302 | 6.779 | 6.093 | 5.244 | 7.116 | ||
平均数 | 6.524 | 7.096 | 7.505 | 7.750 | 7.831 | 7.750 | 7.505 | 7.096 | 6.524 |
年份 | X1 | 平均数 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
-2 | -1.5 | -1 | -0.5 | 0 | 0.5 | 1 | 1.5 | 2 | ||||
2016 | X3 | 2 | 5.292 | 6.486 | 7.451 | 8.186 | 8.691 | 8.967 | 9.013 | 8.829 | 8.415 | 7.926 |
1.5 | 5.617 | 6.671 | 7.495 | 8.090 | 8.455 | 8.590 | 8.496 | 8.172 | 7.618 | 7.689 | ||
1 | 5.942 | 6.856 | 7.540 | 7.994 | 8.219 | 8.214 | 7.979 | 7.515 | 6.820 | 7.453 | ||
0.5 | 6.267 | 7.041 | 7.584 | 7.898 | 7.983 | 7.837 | 7.462 | 6.857 | 6.023 | 7.217 | ||
0 | 6.592 | 7.225 | 7.629 | 7.802 | 7.746 | 7.461 | 6.945 | 6.200 | 5.225 | 6.981 | ||
-0.5 | 6.917 | 7.410 | 7.673 | 7.706 | 7.510 | 7.084 | 6.428 | 5.543 | 4.428 | 6.744 | ||
-1 | 7.242 | 7.595 | 7.717 | 7.610 | 7.274 | 6.707 | 5.912 | 4.886 | 3.630 | 6.508 | ||
-1.5 | 7.567 | 7.779 | 7.762 | 7.514 | 7.038 | 6.331 | 5.395 | 4.229 | 2.833 | 6.272 | ||
-2 | 7.892 | 7.964 | 7.806 | 7.419 | 6.801 | 5.954 | 4.878 | 3.571 | 2.035 | 6.036 | ||
平均数 | 6.592 | 7.225 | 7.629 | 7.802 | 7.746 | 7.461 | 6.945 | 6.200 | 5.225 | |||
2017 | X3 | 2 | 4.280 | 5.130 | 5.816 | 6.339 | 6.698 | 6.894 | 6.926 | 6.795 | 6.500 | 6.153 |
1.5 | 5.167 | 5.947 | 6.564 | 7.017 | 7.307 | 7.434 | 7.397 | 7.196 | 6.832 | 6.762 | ||
1 | 5.914 | 6.625 | 7.173 | 7.556 | 7.777 | 7.834 | 7.728 | 7.458 | 7.024 | 7.232 | ||
0.5 | 6.522 | 7.163 | 7.641 | 7.956 | 8.107 | 8.095 | 7.919 | 7.580 | 7.077 | 7.562 | ||
0 | 6.990 | 7.562 | 7.970 | 8.215 | 8.297 | 8.215 | 7.970 | 7.562 | 6.990 | 7.752 | ||
-0.5 | 7.318 | 7.820 | 8.160 | 8.335 | 8.348 | 8.197 | 7.882 | 7.404 | 6.763 | 7.803 | ||
-1 | 7.506 | 7.939 | 8.209 | 8.316 | 8.259 | 8.038 | 7.654 | 7.107 | 6.396 | 7.714 | ||
-1.5 | 7.555 | 7.919 | 8.119 | 8.156 | 8.030 | 7.740 | 7.287 | 6.670 | 5.890 | 7.485 | ||
-2 | 7.464 | 7.758 | 7.889 | 7.857 | 7.661 | 7.302 | 6.779 | 6.093 | 5.244 | 7.116 | ||
平均数 | 6.524 | 7.096 | 7.505 | 7.750 | 7.831 | 7.750 | 7.505 | 7.096 | 6.524 |
[1] | 白苇, 杨素梅, 尹海峰, 等. 冀西北地区施用氮磷钾肥对食葵产量和经济效益的影响[J]. 作物杂志, 2016(5):131-134. |
[2] | 刘文杰, 王波, 段维. 播期与密度耦合对向日葵产量、产量构成因素及品质的影响[J]. 新疆农垦科技, 2020, 43(9):3-6. |
[3] | 王文军. 食用向日葵主要性状对产量、饱满度的影响[J]. 哈尔滨师范大学自然科学学报, 2017, 33(2):104-107. |
[4] | 白苇, 杨素梅, 尹海峰, 等. 播种期、密度、氮肥、磷肥、钾肥五因子对食用向日葵栽培技术的优化[J]. 宁夏农林科技, 2015, 56(7):15-18,40. |
[5] | 杨文耀, 安玉麟, 郭富国, 等. 河套黄灌区食用向日葵高产栽培技术研究[J]. 内蒙古农业科技, 2009(3):27-29. |
[6] | 杨素梅, 杨德智, 白苇, 等. 冀西北食用向日葵不同栽培因素对产量的影响[J]. 农业科技通讯, 2010(8):85-90. |
[7] | 李瑞, 龚清世, 贺丽瑜, 等. 播期对不同向日葵品种的影响[J]. 湖北农业科学, 2017, 56(21):4021-4022,4045. |
[8] | 刘文杰, 李汉华, 魏良民, 等. 不同播期对向日葵生长、产量及病虫害发生的影响[J]. 江苏农业科学, 2015, 43(2):110-112. |
[9] | 李军, 闫文芝, 张静, 等. 种植密度对食用向日葵籽粒性状和产量及其它经济性状的影响[J]. 黑龙江农业科学, 2010(9):26-27. |
[10] | 尤艳蓉, 李锦龙, 李城德, 等. 食用向日葵杂交种SH361种植密度试验研究[J]. 中国农技推广, 2019, 35(8):59-60. |
[11] | 于欢. 不同种植密度对向日葵相关性状及产量的影响[J]. 现代农业科技, 2017(14):10-14. |
[12] | 王伟妮, 高娃, 郑硕, 等. 内蒙古典型生态区不同类型向日葵氮肥响应差异[J]. 中国土壤与肥料, 2020(4):140-149. |
[13] | 国世佳, 段玉, 张君, 等. 施氮量对食用向日葵产量及品质的影响[J]. 中国土壤与肥料, 2019(2):126-132. |
[14] | 段玉, 国世佳, 张君, 等. 氮磷钾肥对食用向日葵产量性状和养分利用特性的影响[J]. 北方农业学报, 2019, 47(3):74-78. |
[15] | 白苇, 尹海峰, 王宽, 等. 氮磷钾肥对食葵产量及养分吸收利用的影响[J]. 河北农业科学, 2017, 21(3):54-58. |
[16] | 韩成, 樊秀荣, 张红萍, 等. 临河区食用向日葵养分肥效和最佳施肥量研究[J]. 安徽农业科学, 2018, 46(36):134-136,145. |
[17] | 段玉, 张君, 梁俊梅, 等. 采用QUEFTS建立向日葵推荐施肥模型养分特征参数[J]. 植物营养与肥料学报, 2020, 26(7):1349-1359. |
[18] | 曾新宇, 宗洪霞, 张莉, 等. 施肥·密度与播期对鲜食大豆主要农艺性状及倒伏性的影响[J]. 安徽农业科学, 2020, 48(13):23-26. |
[19] | 王晓飞, 徐海军, 郭梦桥, 等. 播期、密度及施肥对寒地油用型紫苏产量的影响[J]. 作物杂志, 2018(4):126-130. |
[20] | 黄明霞, 王靖, 唐建昭, 等. 基于APSIM模型分析播期和水氮耦合对油葵产量的影响[J]. 农业工程学报, 2018, 34(13):134-143. |
[21] | 党根友, 魏亦勤, 刘旺清, 等. 灌水模式对春小麦光合性能和干物质生产的影响[J]. 麦类作物学报, 2015, 35(2):198-206. |
[1] | ZHANG Zihao, LI Xiangcheng, WU Haotian, FU Penghao, GAO Chunbao, ZHANG Yunbo, ZOU Juan. The Appropriate Sowing Rate of Wheat Under the Climate Conditions of Jianghan Plain [J]. Chinese Agricultural Science Bulletin, 2023, 39(7): 1-9. |
[2] | LU Jiaoyun, TIAN Hong, ZHANG Heshan, XIONG Junbo, LIU Yang. Nitrogen Cycling: Research Tendency Based on CNKI [J]. Chinese Agricultural Science Bulletin, 2023, 39(7): 158-164. |
[3] | CHEN Yuli, YANG Ping, BI Haibin, ZHAI Huabo, WANG Dongfeng, ZHUO Ma, GAO Minghui, GONG Fajiang. Response of Main Growth Indexes of Summer Soybean Canopy to Nitrogen [J]. Chinese Agricultural Science Bulletin, 2023, 39(7): 19-23. |
[4] | TANG Jie, CHEN Yao, CHENG Qiming. Study on Non-point Source Pollution Load of Liangtan River Basin Based on SWAT Model [J]. Chinese Agricultural Science Bulletin, 2023, 39(5): 124-130. |
[5] | KAN Jianluan, WANG Xiaoyun, SU Jianping, ZHANG Yongchun, WANG Jidong, MA Hongbo, CAI Yuntong. Effects of Different Nitrogen Fertilizer Inhibitors on Wheat Yield, Soil Fertility and Nitrogen Use Efficiency [J]. Chinese Agricultural Science Bulletin, 2023, 39(5): 69-74. |
[6] | DU Shanshan, LUO Jing, YAO Qingqing, SUN Huijian, HE Zhongsheng, WANG Dongli. Effects of Nitrogen Fertilizer Topdressing Rates on SPAD Value and Dry Matter Accumulation and Distribution of Upland Cotton in Southern Xinjiang [J]. Chinese Agricultural Science Bulletin, 2023, 39(4): 1-6. |
[7] | DU Caiyan, WU Di, LI Jiakui, BAI Jiyuan, DAI Kuai, LI Jiarui, HE Yuhua, LI Jiangzhou. Nitrogen Application Rate Affects Soil Nitrogen and Phosphorus Loss and Tobacco Nitrogen Utilization in the Fuxian Lake Basin [J]. Chinese Agricultural Science Bulletin, 2023, 39(3): 80-87. |
[8] | ZHANG Yanjun, LIU Jia, ZHANG Zhong, ZHANG Cuiping, LI Jianzeng, HU Xuanjiang, SHI Li’an, GAO Yuxi, LUO Lei, CAI Shujiang, LI Huaihong, RAO Min. Effects of Varieties, Planting Densities, Nitrogen Application Rates and Sowing Modes on Biological Characters and Yield of Waxy Sorghum [J]. Chinese Agricultural Science Bulletin, 2023, 39(2): 1-7. |
[9] | TI Junyang, ZHANG Yuqin, YANG Hengshan, ZHANG Ruifu, TAI Jicheng, SA Rula, HAN Meiqi. Effects of Soybean-Maize Rotation on Community Structure and Diversity of Soil Nitrogen-fixing Bacteria of Spring Maize [J]. Chinese Agricultural Science Bulletin, 2023, 39(2): 44-50. |
[10] | ZHOU Dongdong, ZHANG Jun, GE Mengjie, LIU Zhonghong, ZHU Xiaohuan, LI Chunyan. Effects of Different Nitrogen Treatments on Grain Yield, Nitrogen Utilization Efficiency and Quality of Late-sowing Wheat ‘Huaimai 36’ Following Rice [J]. Chinese Agricultural Science Bulletin, 2023, 39(1): 1-7. |
[11] | WANG Fuyu, CHEN Guiju, SUN Leiming, HUANG Ling, SHAO Minmin, ZHAO Kai, YANG Benzhou, ZHANG Yudan, YAN Lu, WANG Lin. Interaction Between Tillage Modes and Nitrogen Application Rates: Effects on the Growth, Yield and Quality of Wheat [J]. Chinese Agricultural Science Bulletin, 2022, 38(9): 20-26. |
[12] | HONG Bo, ZHANG Ze, ZHANG Qiang, MA Yiru, YI Xiang, LV Xin. The Nitrogen Content in Cotton Leaves: Estimation Based on Digital Image [J]. Chinese Agricultural Science Bulletin, 2022, 38(9): 49-55. |
[13] | LI Xinghua, WANG Huan, ZHANG Sheng, CAI Xingxing, ZHOU Qiang, ZHOU Nan. Nitrogen Application Rate and Mode: Effects on Yield and Dry Matter Accumulation and Transport After Flowering of Late Indica Rice [J]. Chinese Agricultural Science Bulletin, 2022, 38(9): 6-13. |
[14] | WANG Yan, ZHU Kaidi, SUN Hongren, ZHANG Jiping, LV Yucai, WANG Jian. Abundance-deficiency Index of Soil Nutrients and Appropriate Fertilizer Application Rates for Apple Planting in China: A Preliminary Study [J]. Chinese Agricultural Science Bulletin, 2022, 38(5): 69-78. |
[15] | XU Zhiqiang, LIU Huabing, ZHANG Xiaobing, ZHAO Yanping, ZHONG Yongjian, GU Chao, LI Zheng. Nitrogen Metabolism and Secondary Metabolism of Different Flue-cured Tobacco Varieties at Maturity Stage [J]. Chinese Agricultural Science Bulletin, 2022, 38(36): 42-47. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||