Evidence map›Paper›PMID 40577493›Full record

ArticleAnnals of botany2025

Apple fruitlet physiological characteristics and their influence on diffuse visible/near-infrared reflectance spectroscopy.

J E Larson, T Zuber, T M Kon

Abstract read
In one paragraph

Article in Annals of botany, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

J E LarsonDepartment of Plants, Soils, and Climate, Utah State University, Logan, UT 84322, USA.
T ZuberDepartment of Horticultural Sciences, North Carolina State University, Mountain Horticultural Crops Research and Extension Center, Mills River, NC 28759, USA.
T M KonDepartment of Horticultural Sciences, North Carolina State University, Mountain Horticultural Crops Research and Extension Center, Mills River, NC 28759, USA.

Funding

North Carolina Dept. of Agriculture Specialty Crop Block Grant ProgramUSDA-NIFA Specialty Crop Research Initiative #2020-51181-32197Utah Agricultural Experiment StationUtah State University
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe recent rise in digital technologies to inform agronomic practices has necessitated further understanding of how plant physiological characteristics affect light reflectance measurements that these technologies employ. A young apple fruitlet undergoes rapid changes in size, chlorophyll content and trichome density as it develops. Our objective here was to characterize these changes in 'Fuji' and 'Honeycrisp' fruit to understand how those changes affect diffuse spectral reflectance.

methodsVisible/near-infrared reflectance spectra were captured with a portable visible and near-infrared spectrometer on individual fruit from 20 to 36 d after full bloom. From these reflectance spectra principal component analysis (PCA) was performed and vegetation indices were calculated. A method was developed to quantify trichome density using image analysis. Water content, trichome density and chlorophyll concentration were determined for each fruitlet. Regression analysis and correlation coefficients were calculated to understand how these measures relate during fruitlet development. KEY

resultsPCA revealed the first principal component contributed to 86.56 % of the variation in the reflectance data. Along this component there was a gradient of fruit size. These size effects led to lower reflectance at wavelengths associated with chlorophyll and water absorption. Chlorophyll concentration and trichome density decreased with increasing fruit size. The total amount of chlorophyll in the fruit increased as fruit grew larger. Total chlorophyll content had a stronger relationship with fruit size than with trichome density.

conclusionsFruit size and in turn total chlorophyll content had the greatest effects on reflectance spectra. When measuring reflectance with a portable visible and near-infrared spectrometer that has a fixed lens size, the amount of tissue covering that lens is a major influence on the reflectance spectra. There were differences in chlorophyll content between the two apple cultivars studied that may have larger implications for the photosynthetic capacity of fruit.

Indexed as

FruitMalusChlorophyllLightPrincipal Component AnalysisSpectroscopy, Near-InfraredWaterChlorophyllWaterApplechlorophyllMalus × domestica L. Borkhreflectance spectroscopytrichome

Identifiers

PMID40577493
PMCPMC12464950

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.