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Evaluating the use of aerially captured spectral data for characterising drought-tolerance traits in sugarcane

机译:评估使用鸟类捕获的光谱数据以表征甘蔗中的干旱耐受性状

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Drought is a frequent phenomenon in sugarcane production, and future climate change could cause more frequent and severe dry spells. Drought tolerance is therefore highly desirable in sugarcane genotypes. Stomatal conductance (g_s) is a key drought tolerance trait that regulates carbon fixation and crop water use, influencing canopy temperature (Tc) through latent heat absorption of evaporating water. Remote sensing of crop reflectance is a potential technique for estimating Tc and g_s in sugarcane crops. This technique needs to be tested before it can be considered for use in sugarcane breeding. The aim of the study was to assess whether aerially captured spectral data can be used to infer genotypic differences in stomatal conductance (g_s) in response to water stress. Two genotypes, NCo376 and N19, were grown at a rainshelter facility at Mount Edgecombe, South Africa, under well-watered (WW) and water deficit (WD) conditions. Following canopy establishment, water was withheld in the WD plots during two events (lasting four and eleven weeks respectively), with a recovery period of three weeks in between. Ground-based measurements included soil water content (capacitance probes), canopy cover (FIPAR, with AccuPAR LP-80 ceptometer), g_s and leaf temperature (Tleaf, with CIRAS-3 photosynthesis system and Optris MS Plus, respectively). Spectral data in the visible, near-infrared (Sentera NDVI sensor) and thermal (FLIR Vue Pro) bands were obtained on six occasions using a DJI Phantom 4 drone. WD values of g_s was expressed relative to WW values for each genotype (g_s*). These were compared to differences in Tc (derived from aerially captured thermal data) between the WD and WW treatments for each genotype (ATc). The study found a fair correlation between g_s* and ATc (R~2=0.40), although obvious outliers were present. Strong correlations were found between g_s and Tc, and between Tleaf and Tc when WD treatments were moderately or severely stressed, but not when they were unstressed or mildly stressed.
机译:干旱是甘蔗生产中经常现象,未来的气候变化可能导致更频繁和严重的干旱咒语。因此,在甘蔗基因型中非常需要耐水性。气孔电导(G_S)是一种可调性耐受性,调节碳固定和作物用水,影响冠层温度(TC)通过蒸发水的潜热吸收。作物反射率的遥感是用于估计甘蔗作物中TC和G_S的潜在技术。需要在考虑用于甘蔗育种之前进行测试。该研究的目的是评估鸟类捕获的光谱数据是否可用于响应水分应激的气孔导率(G_S)的基因型差异。两种基因型,NCO376和N19在南非山山,南非山上的雨棚设施下,在浇水(WW)和水赤字(WD)条件下。在冠层建立之后,在两次事件(分别持续四周)中,水在WD地块中扣留了水,恢复期之间的恢复期。基于地面测量包括土壤含水量(电容探测),冠层盖(Fipar,带Accupar LP-80 Ceptometer),G_S和叶片温度(TLEAF,分别具有CIPAS-3光合系统和OPTRIS MS Plus)。在使用DJI Phantom 4无人机上,在六次可见近红外(Sentera NDVI传感器)和热(FLIR Vue Pro)带中的光谱数据。对于每个基因型(G_S *)的WW值表示G_S的WD值。将这些与用于每个基因型(ATC)的WD和WW治疗之间的TC(来自鸟类捕获的热数据)的差异进行比较。该研究发现G_S *和ATC之间的公平相关(R〜2 = 0.40),尽管存在明显的异常值。在G_S和TC之间发现强相关,在适度或严重应激WD治疗时,TLEAF和TC之间的相关性,但在不重读或温和地应激时不存在。

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