Forecasting of the mango crop-Quantity and quality_N Anderson_Redacted.pdf (3.6 MB)

Forecasting of the mango crop: Quantity and quality

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posted on 2023-08-25, 06:06 authored by Nicholas AndersonNicholas Anderson
Precision management of the mango crop can be aided by quantitative measures of indices relevant to fruit maturation and measurement of the fruit load per tree. Such measures address fruit quantity and quality, respectively. Mango fruit DM at harvest is an index of ripened fruit eating quality of ripened fruit, and DM is also useful in assessment of the stage of maturation of the fruit. This thesis considered the robustness of NIR spectroscopy based DM models for use with fruit from different harvest events and of five cultivars (Calypso™, Honey Gold, Keitt, Kensington Pride and R2E2), from two distinct growing regions (Northern Territory and Queensland, over two seasons). Individual cultivar calibrations achieved cross validation statistics of Rcv2 = 0.85-0.93; RMSECV = 0.61-0.96% DM, while a combined cultivar (global) model had satisfactory statistics of Rcv2 = 0.84; RMSECV = 0.99% DM.



Central Queensland University

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I hereby grant to Central Queensland University or its agents the right to archive and to make available my thesis or dissertation in whole or in part through Central Queensland University’s Institutional Repository, ACQUIRE, in all forms of media, now or hereafter known. I retain all copyright, including the right to use future works (such as articles or books), all or part of this thesis or dissertation.

Open Access

  • Yes

Era Eligible

  • No


Professor Kerry B Walsh ; Dr Phul P Subedi

Thesis Type

  • Master's by Research Thesis