Development and validation of near-infrared spectroscopy procedures for prediction of cassava root dry matter and amylose contents in Ugandan cassava germplasm.

Abstract

Background Cassava utilization for food and/or industrial products depends on inherent properties of root dry matter content (DMC) and the starch fraction of amylose content (AC). Accordingly, in the present study, near-infrared reflectance spectroscopy (NIRS) models were developed to aid breeding and selection of DMC and AC as critical industrial traits taking care of root sample preparation and cassava germplasm diversity available in Uganda. Results Upon undertaking calibrations and cross-validations, best models were adopted for validation. DMC in calibration samples ranged from 20 to 45 g 100g -1 , whereas, for amylose content, it ranged from 14 to 33 g 100g -1 . In the validation set, average DMC was 29.5 g 100g -1 , whereas, for amylose content, it was 24.64 g 100g -1 . For DMC, a modified partial least square regression model had regression coefficients (R 2 ) of 0.98 and 0.96, respectively, in the calibration and validation set. These were also associated with low bias (-0.018) and ratio of performance deviation that ranged from 4.7 to 5.0. In addition, standard error of prediction values ranged from 0.9 g 100g -1 to 1.06 g 100g -1 . For AC, the regression coefficient was 0.91 for the calibration set and 0.94 for the validation set. A bias equivalent to -0.03 and a ratio of performance deviation of 4.23 were observed. Conclusion These findings confirm the robustness of NIRS in the estimation of dry matter content and amylose content in cassava roots and thus justify its use in routine cassava breeding operations. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Plant phenotyping relevance

カッサバ根の乾物含量とアミロース含量という植物器官形質を対象に、NIRS予測モデルを開発・検証しており、形質取得法が研究の中心です。

Code and data availability

The paper's field experiment phenotyping data (cassava clones used for NIRS calibration of dry matter and amylose content) is openly available in Cassavabase at the trial 4384 URL, per the authors' explicit availability statements. No author analysis code, NIRS spectra files, or trained model/calibration equations are指