首页> 外文会议>Annual Australian Society of Sugar Cane Technologists Conference >WITHIN BLOCK SPATIAL VARIATION IN CCS—ANOTHER POTENTIALLY IMPORTANT CONSIDERATION IN THE APPLICATION OF PRECISION AGRICULTURE TO SUGARCANE PRODUCTION
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WITHIN BLOCK SPATIAL VARIATION IN CCS—ANOTHER POTENTIALLY IMPORTANT CONSIDERATION IN THE APPLICATION OF PRECISION AGRICULTURE TO SUGARCANE PRODUCTION

机译:在CCS的阻止空间变化中 - 在甘蔗生产中应用精密农业的另一个可能重要的考虑因素

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Growers adopting Precision Agriculture approaches to sugar cane production have been predominantly focussed on the use of variable rate management of fertilisers and soil amendments (VRT) to optimise yield. However; cane yield is only one component ofthe sugar production system; CCS (Commercial Cane Sugar) is also important. Clearly; growers using VRT to optimise yield will not want the benefit of doing so to be offset by a possible consequent CCS penalty. We collected cane stalk samples from 202 geo-referenced locations in a 6.8 ha block of cane in the Bundaberg district during the 2011 harvest and analysed them in the laboratory for brix, pol and CCS. CCS varied from 13.29 to 16.84 with a mean of 15.73 and median of 15.80; the coefficient of variation (CV) was only 3.5%. However, the variation in CCS was spatially structured: that is, it was not random. Brix and pol followed the same patterns of variation. Future work will seek to characterise CCS variation in potentially more variable blocks and explore the drivers of CCS variation. Nevertheless, the present results suggest that spatial variation in CCS is something that adopters of PA should consider, alongside variation in yield and soil properties. They also lend weight to the need for a harvester-mounted on-the-go sensor for CSS determination as a complement to yield monitoring technology.
机译:种植者采用精密农业曲甘蔗生产方法,主要集中在利用肥料和土壤修正案(VRT)的可变速率管理来优化产量。然而;甘蔗产量只是糖生产系统的一个组成部分; CCS(商业蔗糖)也很重要。清楚地;使用VRT优化产量的种植者将不希望通过可能的CCS惩罚所抵消的损失。我们在2011年收获期间收集了来自Bundaberg区的6.8公顷的甘蔗座中的202个地理参考地点的甘蔗茎样品,并分析了他们在Brix,Pol和CCS的实验室。 CCS从13.29变化到16.84,平均为15.73,中位数为15.80;变异系数(CV)仅为3.5%。然而,CCS的变化在空间上结构:即,它不是随机的。 Brix和Pol遵循相同的变异模式。将来的工作将寻求在潜在的变量块中表征CCS变化,并探索CCS变化的驱动程序。然而,本结果表明CCS的空间变异是PA的采用者应该考虑的东西,以及产量和土壤性质的变化。它们还为CSS测定的RVESTED ON-TO-GO-GO-GO-GO-GO-GO-GO-GO-GO-GO-RESENITION作为产量监测技术的补充。

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