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Estimating Biomass and Canopy Height With LiDAR for Field Crop Breeding

机译:利用LiDAR估算田间作物育种的生物量和冠层高度

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摘要

Above-ground biomass (AGB) is a trait with much potential for exploitation within wheat breeding programs and is linked closely to canopy height (CH). However, collecting phenotypic data for AGB and CH within breeding programs is labor intensive, and in the case of AGB, destructive and prone to assessment error. As a result, measuring these traits is seldom a priority for breeders, especially at the early stages of a selection program. LiDAR has been demonstrated as a sensor capable of collecting three-dimensional data from wheat field trials, and potentially suitable for providing objective, non-destructive, high-throughput estimates of AGB and CH for use by wheat breeders. The current study investigates the deployment of a LiDAR system on a ground-based high-throughput phenotyping platform in eight wheat field trials across southern Australia, for the non-destructive estimate of AGB and CH. LiDAR-derived measurements were compared to manual measurements of AGB and CH collected at each site and assessed for their suitability of application within a breeding program. Correlations between AGB and LiDAR Projected Volume (LPV) were generally strong (up to r = 0.86), as were correlations between CH and LiDAR Canopy Height (LCH) (up to r = 0.94). Heritability (H2) of LPV (H2 = 0.32–0.90) was observed to be greater than, or similar to, the heritability of AGB (H2 = 0.12–0.78) for the majority of measurements. A similar level of heritability was observed for LCH (H2 = 0.41–0.98) and CH (H2 = 0.49–0.98). Further to this, measurements of LPV and LCH were shown to be highly repeatable when collected from either the same or opposite direction of travel. LiDAR scans were collected at a rate of 2,400 plots per hour, with the potential to further increase throughput to 7,400 plots per hour. This research demonstrates the capability of LiDAR sensors to collect high-quality, non-destructive, repeatable measurements of AGB and CH suitable for use within both breeding and research programs.
机译:地上生物量(AGB)是一种在小麦育种计划中具有很大开发潜力的性状,并且与树冠高度(CH)密切相关。但是,在育种计划中收集AGB和CH的表型数据是费力的,并且在AGB的情况下,具有破坏性且易于评估错误。因此,测量这些特性对于育种者来说很少是一个优先事项,尤其是在选择计划的早期阶段。 LiDAR已被证明是一种传感器,能够从小麦田间试验中收集三维数据,并且潜在地适合提供客观,无损,高通量的AGB和CH估计值,供小麦育种者使用。目前的研究调查了澳大利亚南部八项麦田试验中,在地面高通量表型平台上使用LiDAR系统的情况,以无损估算AGB和CH。将LiDAR得出的测量结果与在每个站点收集的AGB和CH的手动测量结果进行比较,并评估它们在育种程序中的适用性。 AGB与LiDAR投影体积(LPV)之间的相关性通常很强(高达r = 0.86),CH与LiDAR冠层高度(LCH)之间的相关性(高达r = 0.94)也是如此。观察到LPV(H 2 = 0.32-0.90)的遗传力(H 2 )大于或类似于AGB(H 2 = 0.12-0.78)。 LCH(H 2 = 0.41-0.98)和CH(H 2 = 0.49-0.98)观察到相似的遗传力。除此之外,当从相同或相反的行进方向收集LPV和LCH的测量值时,它们显示出高度可重复性。 LiDAR扫描以每小时2400个图的速度收集,有可能将吞吐率进一步提高到每小时7400个图。这项研究证明了LiDAR传感器具有收集高质量,无损,可重复测量的AGB和CH的能力,适用于育种和研究计划。

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