
Journal of Zhejiang Agricultural Sciences ›› 2026, Vol. 67 ›› Issue (5): 1226-1234.DOI: 10.16178/j.issn.0528-9017.20260078
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HUANG Li1(
), HUANG Xiang1, HUANG Yinan1, JIAN Guifu1, WEI Jiemei2, LIN Shiliu2, WEI Zhengmin1(
)
Received:2026-02-02
Online:2026-05-11
Published:2026-05-12
Contact:
WEI Zhengmin
CLC Number:
HUANG Li, HUANG Xiang, HUANG Yinan, JIAN Guifu, WEI Jiemei, LIN Shiliu, WEI Zhengmin. Study on the optimization of maize cultivation technology with density⁃fertilizer coupling in Karst regions[J]. Journal of Zhejiang Agricultural Sciences, 2026, 67(5): 1226-1234.
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URL: http://www.zjnykx.cn/EN/10.16178/j.issn.0528-9017.20260078
| 水平 | X1/hm-2 | X2/(kg·hm-2) | X3/(kg·hm-2) | X4/(kg·hm-2) | X5/(kg·hm-2) |
|---|---|---|---|---|---|
| -2 | 4.35 | 135 | 0 | 0 | 0 |
| -1 | 4.80 | 180 | 45 | 90 | 1 500 |
| 0 | 5.25 | 225 | 90 | 180 | 3 000 |
| 1 | 5.70 | 270 | 135 | 270 | 4 500 |
| 2 | 6.15 | 315 | 180 | 360 | 6 000 |
| Δj | 0.45 | 45 | 45 | 90 | 1 500 |
Table 1 Experimental factor levels and codes
| 水平 | X1/hm-2 | X2/(kg·hm-2) | X3/(kg·hm-2) | X4/(kg·hm-2) | X5/(kg·hm-2) |
|---|---|---|---|---|---|
| -2 | 4.35 | 135 | 0 | 0 | 0 |
| -1 | 4.80 | 180 | 45 | 90 | 1 500 |
| 0 | 5.25 | 225 | 90 | 180 | 3 000 |
| 1 | 5.70 | 270 | 135 | 270 | 4 500 |
| 2 | 6.15 | 315 | 180 | 360 | 6 000 |
| Δj | 0.45 | 45 | 45 | 90 | 1 500 |
| 项目 | 施肥时期 | 尿素/% | 过磷酸钙/% | 氯化钾/% | 干猪粪/% |
|---|---|---|---|---|---|
| 基肥 | 播种时 | 40 | 100 | 60 | 100 |
| 苗肥 | 5~6叶期 | 25 | — | 40 | — |
| 攻苞肥 | 大喇叭口期 | 35 | — | — | — |
Table 2 Fertilization stages and ratios
| 项目 | 施肥时期 | 尿素/% | 过磷酸钙/% | 氯化钾/% | 干猪粪/% |
|---|---|---|---|---|---|
| 基肥 | 播种时 | 40 | 100 | 60 | 100 |
| 苗肥 | 5~6叶期 | 25 | — | 40 | — |
| 攻苞肥 | 大喇叭口期 | 35 | — | — | — |
| 处理 | X1 | X2 | X3 | X4 | X5 | 产量/(kg·hm-2) | 株高/cm | 穗位高/cm | 茎粗/mm | 穗粒数 | 百粒重/g |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 1 | 1 | 6 973.1 | 264 | 113 | 19.95 | 435.1 | 30.9 |
| 2 | 1 | 1 | 1 | -1 | 1 | 7 373.6 | 271 | 116 | 20.29 | 502.2 | 29.1 |
| 3 | 1 | 1 | -1 | 1 | -1 | 7 288.2 | 276 | 120 | 19.87 | 478.8 | 28.9 |
| 4 | 1 | 1 | -1 | -1 | -1 | 7 005.9 | 279 | 120 | 19.12 | 462.0 | 29.7 |
| 5 | 1 | -1 | 1 | 1 | -1 | 6 612.0 | 262 | 112 | 20.91 | 435.2 | 28.5 |
| 6 | 1 | -1 | 1 | -1 | -1 | 7 078.1 | 269 | 119 | 19.58 | 455.8 | 31.3 |
| 7 | 1 | -1 | -1 | 1 | 1 | 7 281.7 | 275 | 116 | 19.59 | 443.2 | 30.8 |
| 8 | 1 | -1 | -1 | -1 | 1 | 6 900.9 | 256 | 115 | 20.32 | 438.6 | 29.3 |
| 9 | -1 | 1 | 1 | 1 | -1 | 7 314.5 | 265 | 115 | 21.03 | 511.7 | 30.6 |
| 10 | -1 | 1 | 1 | -1 | -1 | 7 170.1 | 268 | 113 | 20.23 | 519.4 | 30.8 |
| 11 | -1 | 1 | -1 | 1 | 1 | 7 367.0 | 274 | 119 | 20.21 | 541.1 | 31.5 |
| 12 | -1 | 1 | -1 | -1 | 1 | 6 756.4 | 265 | 113 | 20.56 | 509.0 | 28.5 |
| 13 | -1 | -1 | 1 | 1 | 1 | 6 953.4 | 273 | 120 | 21.32 | 500.6 | 31.7 |
| 14 | -1 | -1 | 1 | -1 | 1 | 6 585.7 | 261 | 110 | 20.87 | 468.1 | 30.9 |
| 15 | -1 | -1 | -1 | 1 | -1 | 6 690.7 | 264 | 119 | 21.10 | 468.8 | 31.3 |
| 16 | -1 | -1 | -1 | -1 | -1 | 6 034.1 | 254 | 108 | 20.01 | 454.8 | 29.8 |
| 17 | -2 | 0 | 0 | 0 | 0 | 6 329.6 | 259 | 113 | 22.41 | 529.0 | 29.4 |
| 18 | 2 | 0 | 0 | 0 | 0 | 7 216.0 | 264 | 118 | 19.75 | 448.6 | 28.8 |
| 19 | 0 | -2 | 0 | 0 | 0 | 6 250.8 | 261 | 113 | 20.30 | 446.9 | 30.8 |
| 20 | 0 | 2 | 0 | 0 | 0 | 7 531.2 | 273 | 118 | 20.78 | 512.6 | 30.0 |
| 21 | 0 | 0 | -2 | 0 | 0 | 6 861.5 | 264 | 117 | 21.46 | 491.3 | 28.4 |
| 22 | 0 | 0 | 2 | 0 | 0 | 7 340.8 | 268 | 115 | 21.15 | 498.1 | 31.2 |
| 23 | 0 | 0 | 0 | -2 | 0 | 6 907.4 | 258 | 108 | 21.49 | 489.6 | 30.2 |
| 24 | 0 | 0 | 0 | 2 | 0 | 7 091.3 | 274 | 117 | 20.90 | 466.5 | 30.9 |
| 25 | 0 | 0 | 0 | 0 | -2 | 7 248.9 | 268 | 121 | 21.49 | 475.0 | 31.7 |
| 26 | 0 | 0 | 0 | 0 | 2 | 7 518.1 | 259 | 107 | 20.48 | 476.8 | 30.8 |
| 27 | 0 | 0 | 0 | 0 | 0 | 7 386.7 | 264 | 109 | 21.12 | 478.2 | 30.4 |
| 28 | 0 | 0 | 0 | 0 | 0 | 7 688.8 | 261 | 112 | 21.10 | 510.0 | 31.0 |
| 29 | 0 | 0 | 0 | 0 | 0 | 7 767.6 | 270 | 114 | 22.44 | 493.0 | 31.5 |
| 30 | 0 | 0 | 0 | 0 | 0 | 7 504.9 | 264 | 118 | 21.13 | 483.8 | 30.9 |
| 31 | 0 | 0 | 0 | 0 | 0 | 7 459.0 | 271 | 117 | 21.88 | 481.4 | 30.3 |
| 32 | 0 | 0 | 0 | 0 | 0 | 8 003.9 | 265 | 116 | 22.56 | 515.1 | 32.6 |
| 33 | 0 | 0 | 0 | 0 | 0 | 7 419.6 | 267 | 115 | 21.82 | 494.2 | 30.0 |
| 34 | 0 | 0 | 0 | 0 | 0 | 7 327.6 | 268 | 120 | 20.04 | 486.2 | 29.8 |
| 35 | 0 | 0 | 0 | 0 | 0 | 7 813.5 | 269 | 111 | 20.09 | 500.5 | 31.9 |
| 36 | 0 | 0 | 0 | 0 | 0 | 7 360.5 | 260 | 107 | 19.91 | 480.6 | 30.2 |
Table 3 Yield and agronomic traits of maize under different treatments
| 处理 | X1 | X2 | X3 | X4 | X5 | 产量/(kg·hm-2) | 株高/cm | 穗位高/cm | 茎粗/mm | 穗粒数 | 百粒重/g |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 1 | 1 | 6 973.1 | 264 | 113 | 19.95 | 435.1 | 30.9 |
| 2 | 1 | 1 | 1 | -1 | 1 | 7 373.6 | 271 | 116 | 20.29 | 502.2 | 29.1 |
| 3 | 1 | 1 | -1 | 1 | -1 | 7 288.2 | 276 | 120 | 19.87 | 478.8 | 28.9 |
| 4 | 1 | 1 | -1 | -1 | -1 | 7 005.9 | 279 | 120 | 19.12 | 462.0 | 29.7 |
| 5 | 1 | -1 | 1 | 1 | -1 | 6 612.0 | 262 | 112 | 20.91 | 435.2 | 28.5 |
| 6 | 1 | -1 | 1 | -1 | -1 | 7 078.1 | 269 | 119 | 19.58 | 455.8 | 31.3 |
| 7 | 1 | -1 | -1 | 1 | 1 | 7 281.7 | 275 | 116 | 19.59 | 443.2 | 30.8 |
| 8 | 1 | -1 | -1 | -1 | 1 | 6 900.9 | 256 | 115 | 20.32 | 438.6 | 29.3 |
| 9 | -1 | 1 | 1 | 1 | -1 | 7 314.5 | 265 | 115 | 21.03 | 511.7 | 30.6 |
| 10 | -1 | 1 | 1 | -1 | -1 | 7 170.1 | 268 | 113 | 20.23 | 519.4 | 30.8 |
| 11 | -1 | 1 | -1 | 1 | 1 | 7 367.0 | 274 | 119 | 20.21 | 541.1 | 31.5 |
| 12 | -1 | 1 | -1 | -1 | 1 | 6 756.4 | 265 | 113 | 20.56 | 509.0 | 28.5 |
| 13 | -1 | -1 | 1 | 1 | 1 | 6 953.4 | 273 | 120 | 21.32 | 500.6 | 31.7 |
| 14 | -1 | -1 | 1 | -1 | 1 | 6 585.7 | 261 | 110 | 20.87 | 468.1 | 30.9 |
| 15 | -1 | -1 | -1 | 1 | -1 | 6 690.7 | 264 | 119 | 21.10 | 468.8 | 31.3 |
| 16 | -1 | -1 | -1 | -1 | -1 | 6 034.1 | 254 | 108 | 20.01 | 454.8 | 29.8 |
| 17 | -2 | 0 | 0 | 0 | 0 | 6 329.6 | 259 | 113 | 22.41 | 529.0 | 29.4 |
| 18 | 2 | 0 | 0 | 0 | 0 | 7 216.0 | 264 | 118 | 19.75 | 448.6 | 28.8 |
| 19 | 0 | -2 | 0 | 0 | 0 | 6 250.8 | 261 | 113 | 20.30 | 446.9 | 30.8 |
| 20 | 0 | 2 | 0 | 0 | 0 | 7 531.2 | 273 | 118 | 20.78 | 512.6 | 30.0 |
| 21 | 0 | 0 | -2 | 0 | 0 | 6 861.5 | 264 | 117 | 21.46 | 491.3 | 28.4 |
| 22 | 0 | 0 | 2 | 0 | 0 | 7 340.8 | 268 | 115 | 21.15 | 498.1 | 31.2 |
| 23 | 0 | 0 | 0 | -2 | 0 | 6 907.4 | 258 | 108 | 21.49 | 489.6 | 30.2 |
| 24 | 0 | 0 | 0 | 2 | 0 | 7 091.3 | 274 | 117 | 20.90 | 466.5 | 30.9 |
| 25 | 0 | 0 | 0 | 0 | -2 | 7 248.9 | 268 | 121 | 21.49 | 475.0 | 31.7 |
| 26 | 0 | 0 | 0 | 0 | 2 | 7 518.1 | 259 | 107 | 20.48 | 476.8 | 30.8 |
| 27 | 0 | 0 | 0 | 0 | 0 | 7 386.7 | 264 | 109 | 21.12 | 478.2 | 30.4 |
| 28 | 0 | 0 | 0 | 0 | 0 | 7 688.8 | 261 | 112 | 21.10 | 510.0 | 31.0 |
| 29 | 0 | 0 | 0 | 0 | 0 | 7 767.6 | 270 | 114 | 22.44 | 493.0 | 31.5 |
| 30 | 0 | 0 | 0 | 0 | 0 | 7 504.9 | 264 | 118 | 21.13 | 483.8 | 30.9 |
| 31 | 0 | 0 | 0 | 0 | 0 | 7 459.0 | 271 | 117 | 21.88 | 481.4 | 30.3 |
| 32 | 0 | 0 | 0 | 0 | 0 | 8 003.9 | 265 | 116 | 22.56 | 515.1 | 32.6 |
| 33 | 0 | 0 | 0 | 0 | 0 | 7 419.6 | 267 | 115 | 21.82 | 494.2 | 30.0 |
| 34 | 0 | 0 | 0 | 0 | 0 | 7 327.6 | 268 | 120 | 20.04 | 486.2 | 29.8 |
| 35 | 0 | 0 | 0 | 0 | 0 | 7 813.5 | 269 | 111 | 20.09 | 500.5 | 31.9 |
| 36 | 0 | 0 | 0 | 0 | 0 | 7 360.5 | 260 | 107 | 19.91 | 480.6 | 30.2 |
| 变异来源 | 平方和 | 自由度 | 均方 | F值 | p值 |
|---|---|---|---|---|---|
| 回归 | 6 022 392.7 | 17 | 354 258.4 | 8.604 0 | <0.000 1 |
| 残差 | 741 129.2 | 18 | 41 173.8 | — | — |
| 失拟性检验 | 265 085.5 | 9 | 29 453.9 | 0.556 9 | 0.801 9 |
| 误差 | 476 043.7 | 9 | 52 893.7 | — | — |
| 总变异 | 6 763 521.9 | 35 | — | — | — |
Table 4 Analysis of variance for the regression model
| 变异来源 | 平方和 | 自由度 | 均方 | F值 | p值 |
|---|---|---|---|---|---|
| 回归 | 6 022 392.7 | 17 | 354 258.4 | 8.604 0 | <0.000 1 |
| 残差 | 741 129.2 | 18 | 41 173.8 | — | — |
| 失拟性检验 | 265 085.5 | 9 | 29 453.9 | 0.556 9 | 0.801 9 |
| 误差 | 476 043.7 | 9 | 52 893.7 | — | — |
| 总变异 | 6 763 521.9 | 35 | — | — | — |
| 因素水平 | 产量 | ||||
|---|---|---|---|---|---|
| X4=-2 | X4=-1 | X4=0 | X4=1 | X4=2 | |
| X1=-2 | 5 339.6 | 6 064.8 | 6 525.8 | 6 722.5 | 6 654.9 |
| X1=-1 | 6 296.1 | 6 897.5 | 7 234.5 | 7 307.3 | 7 115.8 |
| X1=0 | 6 875.1 | 7 352.5 | 7 565.7 | 7 514.5 | 7 199.1 |
| X1=1 | 7 076.6 | 7 430.0 | 7 519.2 | 7 344.2 | 6 904.8 |
| X1=2 | 6 900.4 | 7 130.0 | 7 095.3 | 6 796.3 | 6 233.0 |
Table 5 Yield under the interaction of planting density and K2O application rate
| 因素水平 | 产量 | ||||
|---|---|---|---|---|---|
| X4=-2 | X4=-1 | X4=0 | X4=1 | X4=2 | |
| X1=-2 | 5 339.6 | 6 064.8 | 6 525.8 | 6 722.5 | 6 654.9 |
| X1=-1 | 6 296.1 | 6 897.5 | 7 234.5 | 7 307.3 | 7 115.8 |
| X1=0 | 6 875.1 | 7 352.5 | 7 565.7 | 7 514.5 | 7 199.1 |
| X1=1 | 7 076.6 | 7 430.0 | 7 519.2 | 7 344.2 | 6 904.8 |
| X1=2 | 6 900.4 | 7 130.0 | 7 095.3 | 6 796.3 | 6 233.0 |
| 因素水平 | 产量 | ||||
|---|---|---|---|---|---|
| X?=-2 | X?=-1 | X?=0 | X?=1 | X?=2 | |
| X?=-2 | 5 696.0 | 6 489.0 | 6 997.7 | 7 222.2 | 7 162.3 |
| X?=-1 | 6 372.2 | 7 022.5 | 7 388.4 | 7 470.0 | 7 267.4 |
| X?=0 | 6 835.1 | 7 342.5 | 7 565.7 | 7 504.5 | 7 159.1 |
| X?=1 | 7 084.6 | 7 449.2 | 7 529.6 | 7 325.6 | 6 837.4 |
| X?=1.5 | 7 129.4 | 7 422.6 | 7 431.5 | 7 156.1 | 6 596.5 |
| X?=2 | 7 120.7 | 7 342.6 | 7 280.1 | 6 933.3 | 6 302.3 |
Table 6 Yield under the interaction of P2O5 and K2O application rate
| 因素水平 | 产量 | ||||
|---|---|---|---|---|---|
| X?=-2 | X?=-1 | X?=0 | X?=1 | X?=2 | |
| X?=-2 | 5 696.0 | 6 489.0 | 6 997.7 | 7 222.2 | 7 162.3 |
| X?=-1 | 6 372.2 | 7 022.5 | 7 388.4 | 7 470.0 | 7 267.4 |
| X?=0 | 6 835.1 | 7 342.5 | 7 565.7 | 7 504.5 | 7 159.1 |
| X?=1 | 7 084.6 | 7 449.2 | 7 529.6 | 7 325.6 | 6 837.4 |
| X?=1.5 | 7 129.4 | 7 422.6 | 7 431.5 | 7 156.1 | 6 596.5 |
| X?=2 | 7 120.7 | 7 342.6 | 7 280.1 | 6 933.3 | 6 302.3 |
| 因素水平 | 产量 | ||||
|---|---|---|---|---|---|
| X2=-2 | X2=-1 | X2=0 | X2=1 | X2=2 | |
| X1=-2 | 5 022.3 | 5 933.4 | 6 526.0 | 6 800.2 | 6 755.8 |
| X1=-1 | 5 927.9 | 6 740.5 | 7 234.6 | 7 410.3 | 7 267.4 |
| X1=0 | 6 456.0 | 7 170.1 | 7 565.7 | 7 642.8 | 7 401.5 |
| X1=1 | 6 606.5 | 7 222.0 | 7 519.1 | 7 497.8 | 7 158.0 |
| X1=2 | 6 379.4 | 6 896.5 | 7 095.1 | 6 975.2 | 6 536.9 |
Table 7 Yield under the interaction of planting density and N application rate
| 因素水平 | 产量 | ||||
|---|---|---|---|---|---|
| X2=-2 | X2=-1 | X2=0 | X2=1 | X2=2 | |
| X1=-2 | 5 022.3 | 5 933.4 | 6 526.0 | 6 800.2 | 6 755.8 |
| X1=-1 | 5 927.9 | 6 740.5 | 7 234.6 | 7 410.3 | 7 267.4 |
| X1=0 | 6 456.0 | 7 170.1 | 7 565.7 | 7 642.8 | 7 401.5 |
| X1=1 | 6 606.5 | 7 222.0 | 7 519.1 | 7 497.8 | 7 158.0 |
| X1=2 | 6 379.4 | 6 896.5 | 7 095.1 | 6 975.2 | 6 536.9 |
| 因素水平 | 产量 | ||||
|---|---|---|---|---|---|
| X?=-2 | X?=-1 | X?=0 | X?=1 | X?=2 | |
| X?=-2 | 5 554.0 | 6 146.6 | 6 525.8 | 6 691.6 | 6 644.1 |
| X?=-1 | 6 464.6 | 6 956.3 | 7 234.5 | 7 299.4 | 7 150.9 |
| X?=0 | 6 997.7 | 7 388.4 | 7 565.7 | 7 529.6 | 7 280.1 |
| X?=1 | 7 153.2 | 7 442.9 | 7 519.2 | 7 382.2 | 7 031.7 |
| X?=2 | 6 931.2 | 7 119.9 | 7 095.3 | 6 857.3 | 6 405.8 |
Table 8 Yield under the interaction of planting density and P2O5 application rate
| 因素水平 | 产量 | ||||
|---|---|---|---|---|---|
| X?=-2 | X?=-1 | X?=0 | X?=1 | X?=2 | |
| X?=-2 | 5 554.0 | 6 146.6 | 6 525.8 | 6 691.6 | 6 644.1 |
| X?=-1 | 6 464.6 | 6 956.3 | 7 234.5 | 7 299.4 | 7 150.9 |
| X?=0 | 6 997.7 | 7 388.4 | 7 565.7 | 7 529.6 | 7 280.1 |
| X?=1 | 7 153.2 | 7 442.9 | 7 519.2 | 7 382.2 | 7 031.7 |
| X?=2 | 6 931.2 | 7 119.9 | 7 095.3 | 6 857.3 | 6 405.8 |
| 编码水平 | X?/(104 hm-2) | X?/(kg·hm-2) | X?/(kg·hm-2) | X?/(kg·hm-2) | X?/(kg·hm-2) |
|---|---|---|---|---|---|
| -2 | 0 | 0 | 0 | 0 | 0 |
| -1 | 1 | 0 | 5 | 2 | 2 |
| 0 | 27 | 14 | 18 | 18 | 9 |
| 1 | 4 | 18 | 9 | 12 | 12 |
| 2 | 0 | 0 | 0 | 0 | 9 |
| 方案合计 | 32 | 32 | 32 | 32 | 32 |
| 标准误 | 0.067 9 | 0.087 7 | 0.114 8 | 0.103 1 | 0.157 8 |
| 95%置信区间 | -0.039 3~0.226 8 | 0.390 6~0.734 4 | -0.100 0~0.350 0 | 0.110 5~0.514 5 | 0.565 7~1.184 3 |
| 相应农艺措施 | 5.23~5.35 | 242.6~258.0 | 85.5~105.8 | 189.9~226.3 | 3 848.6~4 776.4 |
Table 9 Optimized agronomic practices for achieving a yield >7 500 kg·hm?2
| 编码水平 | X?/(104 hm-2) | X?/(kg·hm-2) | X?/(kg·hm-2) | X?/(kg·hm-2) | X?/(kg·hm-2) |
|---|---|---|---|---|---|
| -2 | 0 | 0 | 0 | 0 | 0 |
| -1 | 1 | 0 | 5 | 2 | 2 |
| 0 | 27 | 14 | 18 | 18 | 9 |
| 1 | 4 | 18 | 9 | 12 | 12 |
| 2 | 0 | 0 | 0 | 0 | 9 |
| 方案合计 | 32 | 32 | 32 | 32 | 32 |
| 标准误 | 0.067 9 | 0.087 7 | 0.114 8 | 0.103 1 | 0.157 8 |
| 95%置信区间 | -0.039 3~0.226 8 | 0.390 6~0.734 4 | -0.100 0~0.350 0 | 0.110 5~0.514 5 | 0.565 7~1.184 3 |
| 相应农艺措施 | 5.23~5.35 | 242.6~258.0 | 85.5~105.8 | 189.9~226.3 | 3 848.6~4 776.4 |
| 评价指标 | F值 | p值 | 显著性水平 | 受影响程度 |
|---|---|---|---|---|
| 株高 | 3.997 8 | 0.002 8 | 极显著 | 较强 |
| 穗位高 | 1.465 4 | 0.214 4 | 不显著 | 较弱 |
| 茎粗 | 0.975 6 | 0.518 5 | 不显著 | 最弱 |
| 穗粒数 | 7.608 4 | 0.000 1 | 极显著 | 最强 |
| 百粒重 | 2.557 8 | 0.027 7 | 显著 | 中等 |
Table 10 Effects of different treatments on main agronomic traits and yield components of maize
| 评价指标 | F值 | p值 | 显著性水平 | 受影响程度 |
|---|---|---|---|---|
| 株高 | 3.997 8 | 0.002 8 | 极显著 | 较强 |
| 穗位高 | 1.465 4 | 0.214 4 | 不显著 | 较弱 |
| 茎粗 | 0.975 6 | 0.518 5 | 不显著 | 最弱 |
| 穗粒数 | 7.608 4 | 0.000 1 | 极显著 | 最强 |
| 百粒重 | 2.557 8 | 0.027 7 | 显著 | 中等 |
| 处理区 | 面积/hm2 | 验收面积/m2 | 有效果穗/(104 hm-2) | 产量/(kg·hm-2) |
|---|---|---|---|---|
| 验证试验 | 0.03 | 300.0 | 5.221 5 | 7 621.5 |
| 大田示范 | 2.10 | 2 801.4 | 5.208 0 | 7 543.6 |
Table 11 Yield measurement results of the high-yield agronomic scheme under verification experiment and field demonstration
| 处理区 | 面积/hm2 | 验收面积/m2 | 有效果穗/(104 hm-2) | 产量/(kg·hm-2) |
|---|---|---|---|---|
| 验证试验 | 0.03 | 300.0 | 5.221 5 | 7 621.5 |
| 大田示范 | 2.10 | 2 801.4 | 5.208 0 | 7 543.6 |
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