High-Throughput Canopy and Belowground Phenotyping of a Set of Peanut CSSLs Detects Lines with Increased Pod Weight and Foliar Disease Tolerance

Gimode, D and Che, Y and Holbrook, C C and Fonceka, D and Porter, W and Dobreva, I and Teare, B and Ruiz-Guzman, H and Hays, D and Ozias-Akins, P (2023) High-Throughput Canopy and Belowground Phenotyping of a Set of Peanut CSSLs Detects Lines with Increased Pod Weight and Foliar Disease Tolerance. Agronomy (TSI), 13 (5). 01-23. ISSN 2073-4395

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Abstract

We deployed field-based high-throughput phenotyping (HTP) techniques to acquire trait data for a subset of a peanut chromosome segment substitution line (CSSL) population. Sensors mounted on an unmanned aerial vehicle (UAV) were used to derive various vegetative indices as well as canopy temperatures. A combination of aerial imaging and manual scoring showed that CSSL 100, CSSL 84, CSSL 111, and CSSL 15 had remarkably low tomato spotted wilt virus (TSWV) incidence, a devastating disease in South Georgia, USA. The four lines also performed well under leaf spot pressure. The vegetative indices showed strong correlations of up to 0.94 with visual disease scores, indicating that aerial phenotyping is a reliable way of selecting under disease pressure. Since the yield components of peanut are below the soil surface, we deployed ground penetrating radar (GPR) technology to detect pods non-destructively. Moderate correlations of up to 0.5 between pod weight and data acquired from GPR signals were observed. Both the manually acquired pod data and GPR variables highlighted the three lines, CSSL 84, CSSL 100, and CSSL 111, as the best-performing lines, with pod weights comparable to the cultivated check Tifguard. Through the combined application of manual and HTP techniques, this study reinforces the premise that chromosome segments from peanut wild relatives may be a potential source of valuable agronomic traits

Item Type:	Article
Divisions:	Research Program : East & Southern Africa
CRP:	UNSPECIFIED
Uncontrolled Keywords:	peanut, phenomics, high-throughput phenotyping, ground penetrating radar, tomato spotted wilt virus, leaf spot, pod weight
Subjects:	Mandate crops > Groundnut Others > Plant Disease
Depositing User:	Mr Nagaraju T
Date Deposited:	24 Oct 2023 03:19
Last Modified:	24 Oct 2023 03:19
URI:	http://oar.icrisat.org/id/eprint/12231
Official URL:	https://www.mdpi.com/2073-4395/13/5/1223
Projects:	Peanut and the NSF BREAD PHENO: High Throughput Phenotyping Early Stage Root Bulking in Cassava using Ground Penetrating Radar
Funders:	USAID
Acknowledgement:	The authors would like to thank Jason Golden, Shannon Atkinson, Betty Tyler, and Kathy Marchant for their technical assistance.
Links:	Google Scholar

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