用模拟模型预测——水稻品种在南方稻区产量表现的初步研究

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运用CSMP语言的动态模拟模型LID对早籼早中熟组品种华矮837、竹系26和早籼中熟组品种中8349、广陆矮4号4个品种在南方稻区13个点的生育期和产量作了定量模拟。通过修正早籼品种的一些特性参数,能较准确地模拟出各品种在南方稻区不同生态条件下的生育期与产量表现。4个品种的开花期模拟值与实际观察值的平均误差为2.6~3.1天,从开花至成熟天数的模拟值与观察值的平均误差为1.4~2.1天,产量的平均误差为0.5~0.7吨/公顷,以各点总平均值来看,以华矮837的模拟产量与观察产量的吻合性最好(-0.02吨/公顷),中8349和竹系26次之(-0.05吨/公顷,0.06吨/公顷)。广陆矮4号的观察产量明显低于其他3个品种,但其模拟产量显著高于其观察产量且与其他3个品种的模拟产量无显著差异(0.05水平)。本研究为利用模拟指导品种多点试验和进一步连接水、肥、病、虫等以建立较完善的模拟模型,为确定品种的最适种植区域优化栽培措施提供了基础。 Using CSMP language dynamic simulation model LID, the fertility of four varieties of early indica rice variety Zaozai 837, bamboo line 26 and early indica medium mature group 8349, and Guanglu dwarf 4 were observed at 13 points in the southern rice region Period and yield were quantitatively simulated. By modifying some characteristic parameters of early indica varieties, we can accurately simulate the growth period and yield performance of different varieties under different ecological conditions in the southern rice area. The average error between simulated and actual values ​​of the four cultivars at flowering stage was 2.6 ~ 3.1 days. The average error between simulated and observed values ​​from flowering to mature days was 1.4 ~ 2.1 days, and the average error of yield was 0.5 ~ 0.7 tons / Ha. According to the average of all the points, the simulated yield of Hua-dian 837 was the best (-0.02 t / ha), the middle of 8349 and the 26th bamboo (-0.05 t / ha, 0.06 ton / ha). The observed yield of Guangluai 4 was significantly lower than that of the other three varieties, but its simulated yield was significantly higher than its observed yield and no significant difference (0.05 level) with the simulated yield of the other three varieties. This study provided the basis for the establishment of a perfect simulation model by means of multi-point experiment with simulated guidance varieties and further connection of water, fertilizer, disease and insects, and provided the basis for the optimization cultivation measures for determining the optimum planting area of ​​varieties.
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