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Use of optical sensor for in-season nitrogen management and grain yield prediction in maize

机译:光学传感器在玉米季节氮管理和谷物产量预测中的应用

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Precision agriculture technologies have developed optical sensors which can determine plant’s normalized difference vegetation index (NDVI).To evaluate the relationship between maize grain yield and early season NDVI readings, an experiment was conducted at farm land of National Maize Research Program, Rampur, Chitwan during winter season of 2012. Eight different levels of N 0, 30, 60, 90, 120, 150, 180 and 210 kg N/ha were applied for hybrid maize RML 32 × RML 17 to study grain yield response and NDVI measurement. Periodic NDVI was measured at 10 days interval from 55 days after sowing (DAS) to 115 DAS by using Green seeker hand held crop sensor. Periodic NDVI measurement taken at a range of growing degree days (GDD) was critical for predicting grain yield potential. Poor exponential relationship existed between NDVI from early reading measured before 208 GDD (55 DAS) and grain yield. At the 261GDD (65DAS) a strong relationship (R2 = 0.70) was achieved between NDVI and grain yield. Later sensor measurements after 571 GDD (95DAS) failed to distinguish variation in green biomass as a result of canopy closure. N level had significantly influenced on NDVI reading, measured grain yield, calculated in season estimated yield (INSEY), predicted yield with added N (YPN), response index (RI) and grain N demand. Measuring NDVI reading by GDD (261–571 GDD) allow a practical window of opportunity for side dress N applications. This study showed that yield potential in maize could be accurately predicted in season with NDVI measured with the Green Seeker crop sensor.
机译:精密农业技术已经开发出可以确定植物归一化差异植被指数(NDVI)的光学传感器。为了评估玉米籽粒产量与早期NDVI读数之间的关系,在奇旺州拉姆普尔市的国家玉米研究计划的农田中进行了一项实验。 2012年冬季。将八种不同水平的N 0、30、60、90、120、150、180和210 kg N / ha用于杂交玉米RML 32×RML 17,以研究谷物产量响应和NDVI测量。通过使用Green seeker手持作物传感器,从播种后55天(DAS)到115 DAS每隔10天测量一次定期NDVI。在生长日数(GDD)范围内进行的定期NDVI测量对于预测谷物单产潜力至关重要。在208 GDD(55 DAS)之前测得的早期读数的NDVI与谷物产量之间存在差的指数关系。在261GDD(65DAS)下,NDVI与谷物产量之间具有很强的关系(R2 = 0.70)。 571 GDD(95DAS)之后的后来传感器测量结果未能区分由于冠层关闭而导致的绿色生物量变化。氮水平对NDVI读数,测得的谷物产量,以季节估算的产量(INSEY)计算,添加氮的预测产量(YPN),响应指数(RI)和谷物的氮需求量有显着影响。通过GDD(261–571 GDD)测量NDVI读数,为侧裙N应用提供了实际的机会之窗。这项研究表明,使用Green Seeker作物传感器测得的NDVI可以准确预测玉米的单产潜力。

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