首页> 外文会议>Conference of the International Society of Sugar Cane Technologists >APPLICATION OF SPATIAL ANALYSIS TECHNIQUES TO ADJUST FOR FERTILITY TRENDS AND IDENTIFY INTERPLOT COMPETITION IN EARLY STAGE SUGARCANE SELECTION TRIALS
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APPLICATION OF SPATIAL ANALYSIS TECHNIQUES TO ADJUST FOR FERTILITY TRENDS AND IDENTIFY INTERPLOT COMPETITION IN EARLY STAGE SUGARCANE SELECTION TRIALS

机译:空间分析技术在早期甘蔗选择试验中调整生育趋势和鉴定互相竞争的应用

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摘要

Sugarcane breeding programs in Australia use large unreplicated trials to evaluate clones. Commercial varieties, which are replicated, provide a method of local control of soil fertility. Although such methods may be useful in detecting broad trends in the field, variation often occurs on a much smaller scale. Methods such as spatial analysis have been successfully applied to cereals and have resulted in increased accuracy and precision in the estimates of variety effects. In this paper, spatial analysis methods are applied to unreplicated sugarcane selection trials. Competition in tonnes cane per hectare and trend in sugar content were substantial in many of the trials and often there were large differences in the selections between the spatial andcurrent method. A joint modelling approach for tonnes sugar per hectare in response to fertility trends and interplot competition is recommended.
机译:澳大利亚的甘蔗繁殖计划利用大型不复杂的试验来评估克隆。经过复制的商业品种,提供了一种局部控制土壤肥力的方法。尽管这些方法可用于检测场中的广泛趋势,但是通常发生变化在更小的规模上。诸如空间分析的方法已成功应用于谷物,并导致在各种效果的估计中提高了准确性和精度。在本文中,空间分析方法适用于不复杂的甘蔗选择试验。每公顷甘蔗竞争和糖含量的趋势在许多试验中都很重要,并且在空间和电流方法之间的选择通常存在巨大差异。建立了对生育趋势和互联网竞争时期每公顷吨糖的联合建模方法。

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