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Yield potential estimation in grain sorghum (Sorghum bicolor L.) and effects of plant height, sensing angle and height on yield prediction of corn (Zea mays L.).

机译:谷物高粱(Sorghum bicolor L.)的产量潜力估算以及株高,感测角度和高度对玉米(Zea mays L.)产量预测的影响。

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Scope and method of study. For chapter one, grain sorghum (Sorghum bicolor L. Moench) experiments were conducted to estimate the yield potential of grain sorghum at different nitrogen levels using a self illuminated had held optical sensor. A total of six experiments with four levels of nitrogen (50,100,150,200 kg ha-1) and there types of applications were arranged in a randomized complete block design in three replications. Sensor readings were taken at five different growth stages (2, 3, 5, 6 and 7). For the second chapter, in one set, a total of 20 transects of corn (Zea mays L.) each with 20 m length were used to estimate the relationship of plant height and grain yield. Plant height was measured at there different growth stages (V8, VT and R1) from the ground to the tip of extended last collar leaf at V8 and up to the base of the last collar leaf at stages VT and R1. In the other set, a total of four transects (50 plants each) were used to determine the effects of sensing height and angle on sensor readings and grain yield. Sensor measurements were taken at stages V8, VT and R1 and used to estimate the relationship of by-plant NDVI and grain yield.; Findings and conclusions. For chapter one, over years and locations, grain yield was not significantly affected by N application methods. Sorghum has shown a response to N but there were no significant differences among treatments in 2004. Significant linear or quadratic responses were observed in 2005 for irrigated sites. Simple linear regression analysis showed that grain yield was highly related to green and red NDVI and INSEY at growth stage 3, with green slightly better than red. The results of this experiment has indicated that INSEY could be used as a good predictor of sorghum yield at growth stage 3. For the second chapter, plant height was highly related to grain yield at VT over locations and years. The data suggested that including plant height as one of yield prediction component can improve corn yield prediction model. Also sensor measurements taken at 0.76 m and nadir position have shown a better relationship with grain yield and NDVI at corn growth stage VT.
机译:研究范围和方法。对于第一章,进行了谷物高粱(Sorghum bicolor L. Moench)实验,使用自发光的光学传感器估算了不同氮水平下谷物高粱的产量潜力。总共进行了六个实验,其中四个水平的氮(50,100,150,200 kg ha-1)和其中的应用类型以随机重复的完全区组设计的形式进行了三次重复。在五个不同的生长阶段(2、3、5、6和7)获取传感器读数。在第二章中,使用一组总共20个长度为20 m的玉米(Zea mays L.)样板来估计植物高度与籽粒产量的关系。在不同的生长阶段(V8,VT和R1),从地面到在V8处延伸的最后一圈叶的顶端到在VT和R1阶段直到最后一圈叶的基部,在不同的生长阶段(高度)测量植物的高度。在另一组中,总共使用了四个样点(每个样点50株植物)来确定感测高度和角度对传感器读数和谷物产量的影响。传感器测量是在阶段V8,VT和R1进行的,并用于估计副植物NDVI与谷物产量的关系。结论和结论。对于第一章,在多年和不同地点,N施用方式对谷物的产量没有显着影响。高粱已显示出对氮的响应,但2004年的处理之间没有显着差异。2005年,灌溉地点观察到了显着的线性或二次响应。简单的线性回归分析显示,在生长阶段3,谷物产量与绿色和红色NDVI和INSEY高度相关,绿色略好于红色。该实验的结果表明,INSEY可以作为生长阶段3的高粱产量的良好预测指标。对于第二章,植物高度与VT在不同位置和年份下的谷物产量高度相关。数据表明,将株高作为产量预测成分之一可以改善玉米产量预测模型。在0.76 m和最低点的位置进行的传感器测量也显示出与玉米生育期VT的谷物产量和NDVI更好的关系。

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