Initiation of Unmanned Aerial System (UAS) Phenotyping of Plant Height and Canopy Width in Guar  

作　　者：Waltram Ravelombola Aurora Manley Caroline Ruhl Madeline Brown Hanh Pham Shubham Malani Waqas Ahmad Waltram Ravelombola;Aurora Manley;Caroline Ruhl;Madeline Brown;Hanh Pham;Shubham Malani;Waqas Ahmad(Texas A&M AgriLife Research, Vernon, TX, USA;Department of Soil and Crop Sciences, Texas A&M University, TX, USA;Texas A&M AgriLife Research, Lubbock, TX, USA)

机构地区：[1]Texas A&M AgriLife Research, Vernon, TX, USA [2]Department of Soil and Crop Sciences, Texas A&M University, TX, USA [3]Texas A&M AgriLife Research, Lubbock, TX, USA

出　　处：《American Journal of Plant Sciences》2022年第12期1427-1438,共12页美国植物学期刊（英文）

摘　　要：The use of the Unmanned Aerial System (UAS) has attracted scientific attention because of its potential to generate high-throughput phenotyping data. The application of UAS to guar phenotyping remains limited. Guar is multi-purpose legume species. India and Pakistan are the world’s top guar producers. The U.S. is the world guar largest market with an import value of >$1 billion annually. The objective of this study was to test the feasibility of UAS phenotyping of plant height and canopy width in guar. The UAS data were collected from a field plot of 10 guar accessions on July 7, 2021, and September 27, 2021. The study was organized in a Randomized Complete Block Design (RCBD) with 3 blocks. A total of 23 Vegetation Indices (VIs) were computed. The analysis of variance showed significant genotypic effects on plant weight (p < 0.05) and canopy width (p on plant height (p most VIs were significant for both flights (p Vegetation Index (NDVI) and Red Edge Normalized Difference Vegetation Index (NDRE) were significantly and highly correlated with plant height (r = 0.74) and canopy width (r = 0.68). The results will be of interest in developing high throughput phenotyping approach for guar breeding.The use of the Unmanned Aerial System (UAS) has attracted scientific attention because of its potential to generate high-throughput phenotyping data. The application of UAS to guar phenotyping remains limited. Guar is multi-purpose legume species. India and Pakistan are the world’s top guar producers. The U.S. is the world guar largest market with an import value of >$1 billion annually. The objective of this study was to test the feasibility of UAS phenotyping of plant height and canopy width in guar. The UAS data were collected from a field plot of 10 guar accessions on July 7, 2021, and September 27, 2021. The study was organized in a Randomized Complete Block Design (RCBD) with 3 blocks. A total of 23 Vegetation Indices (VIs) were computed. The analysis of variance showed significant genotypic effects on plant weight (p < 0.05) and canopy width (p on plant height (p most VIs were significant for both flights (p Vegetation Index (NDVI) and Red Edge Normalized Difference Vegetation Index (NDRE) were significantly and highly correlated with plant height (r = 0.74) and canopy width (r = 0.68). The results will be of interest in developing high throughput phenotyping approach for guar breeding.

关 键 词：GUAR Unmanned Aerial System Vegetation Indices PHENOTYPING Plant Height Canopy Width 

分 类 号：Q94[生物学—植物学]