Ground-Based LiDAR Improves Phenotypic Repeatability of Above-Ground Biomass and Crop Growth Rate in Wheat

作     者：David M.Deery Greg J.Rebetzke Jose A.Jimenez-Berni Anthony G.Condon David J.Smith Kathryn M.Bechaz William D.Bovill 

作者机构：CSIRO Agriculture and FoodCanberraACTAustralia CSIRO Agriculture and FoodYancoNSWAustralia NSW Department of Primary IndustriesYancoNSWAustralia 

出 版 物：《Plant Phenomics》 (植物表型组学（英文）)

年 卷 期：2020年第2卷第1期

页      面：138-148页

核心收录：

学科分类：0501[文学-中国语言文学] 0303[法学-社会学] 0710[理学-生物学] 0502[文学-外国语言文学] 0601[历史学-考古学] 1302[艺术学-音乐与舞蹈学] 1301[艺术学-艺术学理论] 09[农学] 0901[农学-作物学] 

基　　金：Grains Research and Development Corporation  GRDC 

主　　题：Wheat Biomass LiDAR 

摘      要：Highly repeatable,nondestructive,and high-throughput measures of above-ground biomass(AGB)and crop growth rate(CGR)are important for wheat improvement programs.This study evaluates the repeatability of destructive AGB and CGR measurements in comparison to two previously described methods for the estimation of AGB from LiDAR:3D voxel index(3DVI)and 3D profile index(3DPI).Across three field experiments,contrasting in available water supply and comprising up to 98 wheat genotypes varying for canopy architecture,several concurrent measurements of LiDAR and AGB were made from jointing to anthesis.Phenotypic correlations at discrete events between AGB and the LiDAR-derived biomass indices were significant,ranging from 0.31(P0:05)to 0.86(P0:0001),providing confidence in the LiDAR indices as effective surrogates for AGB.The repeatability of the LiDAR biomass indices at discrete events was at least similar to and often higher than AGB,particularly under water limitation.The correlations between calculated CGR for AGB and the LiDAR indices were moderate to high and varied between experiments.However,across all experiments,the repeatabilities of the CGR derived from the LiDAR indices were appreciably greater than those for AGB,except for the 3DPI in the water-limited environment.In our experiments,the repeatability of either LiDAR index was consistently higher than that of AGB,both at discrete time points and when CGR was calculated.These findings provide promising support for the reliable use of ground-based LiDAR,as a surrogate measure of AGB and CGR,for screening germplasm in research and wheat breeding.