Nondestructive determination of tannin content in intact individual acorns by near‐infrared spectroscopy

Takahashi, Akiko; Shimada, Takuya

doi:10.1007/s11284-011-0823-6

Cited by 8 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…7. A strong absorption peak for tannic acid powder can be observed at 996 nm, which was similarly reported by Takahashi et al [28] The negative peak at 995 nm in the regression coefficient plot (Fig. 6) closely coincides with the absorption peak at 996 nm in the tannic acid spectrum.…”

Section: Whole Fruit Assessmentsupporting

confidence: 86%

Evaluation of Astringency and Tannin Content in ‘Xichu’ Persimmons Using Near Infrared Spectroscopy

Noypitak

Terdwongworakul

Krisanapook

et al. 2015

International Journal of Food Properties

View full text Add to dashboard Cite

Carbon dioxide treatment to reduce soluble tannins and astringency in persimmons is sometimes ineffective. Near-infrared spectroscopy was used to develop a predictive model for soluble tannin content and persimmon classification. A model using averaged spectra collected in the interactance mode showed better performance (correlation coefficient of prediction, r p = 0.95 and root mean square error of prediction, RMSEP = 0.17% w/w) than that from the transmittance mode (r p = 0.94 and RMSEP = 0.19% w/w). Models generated using spectra from the stem-end or middle plane flesh and whole fruit were comparable. Classification accuracy of 97.1% was achieved using stem-end flesh spectra. Therefore, near-infrared spectroscopy is a rapid and non-destructive technique with potential applications in the estimation of persimmon tannin content.

show abstract

Section: Whole Fruit Assessmentsupporting

confidence: 86%

Evaluation of Astringency and Tannin Content in ‘Xichu’ Persimmons Using Near Infrared Spectroscopy

Noypitak

Terdwongworakul

Krisanapook

et al. 2015

International Journal of Food Properties

View full text Add to dashboard Cite

show abstract

“…Incidental effects of this procedure on the results were considered insignificant because values of the studied traits (mean, CV and skewness) would be altered little by this procedure, which was confirmed by resampling analyses (data are not shown). Each sampled seed was weighed (±0·01 g) using an electronic balance, and a previously developed NIRS calibration model (Takahashi, Shimada & Kawano ) was used to estimate the tannin content of cotyledons of individual seeds ( r 2 = 0·836 for the best calibration model). Briefly, the NIR spectra of sound seeds ( n = 87 each for calibration and validation) were nondestructively measured (i.e.…”

Section: Methodsmentioning

confidence: 99%

“…One promising approach is the use of near‐infrared spectroscopy (NIRS), which nondestructively measures the chemical content of organic materials based on the principle of light absorption by molecular vibration (Foley et al . ; Takahashi, Shimada & Kawano ).…”

Section: Introductionmentioning

confidence: 99%

“…This is mainly because of the difficulty in tracing the fate of individual seeds with known chemical compositions, for which a nondestructive method for seed chemical content estimation is required. One promising approach is the use of near-infrared spectroscopy (NIRS), which nondestructively measures the chemical content of organic materials based on the principle of light absorption by molecular vibration (Foley et al 1998;Takahashi, Shimada & Kawano 2011).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effects of within‐plant variability in seed weight and tannin content on foraging behaviour of seed consumers

et al. 2015

Self Cite

View full text Add to dashboard Cite

Summary Individual plants provide a habitat patch for foragers where the sought‐after resources (e.g. leaves, fruits and seeds) are clustered in locally dense aggregations. Characteristics of these resources often vary greatly even within individual plants, which is known as within‐plant or subindividual variation. To best describe properties of the patch (individual plants), the higher moments of trait‐value distributions must be included in addition to the mean values. However, the question whether differences in within‐plant variability of a given trait influence the foraging behaviours of consumers has been mostly untested. To test the hypothesis that differences in within‐plant variation of traits can influence the patch selection behaviour of seed consumers, we used the mean, coefficient of variation (CV) and skewness of within‐plant distributions of two Quercus serrata (Thunb) seed traits (weight and tannin content) as descriptors of plant phenotypes. We then examined the relationships between these descriptors and patch selection by the wood mouse Apodemus speciosus, where individual Quercus trees formed a foraging patch for seed removal. We collected 8594 seeds from 26 individual trees in a forest in northern Japan. We then measured their weight and tannin content, marked and returned them to the locations where they were found, and traced their fates in relation to seed removal by the wood mouse. Tannin content was nondestructively estimated using near‐infrared spectroscopy (NIRS). There was notable within‐plant variation in seed weight and tannin content. Generalized additive modelling revealed that trees with a large mean and CV of seed weight and those with a small CV and skewness of tannin content had a high frequency of seed removal. These results highlight the importance of considering the within‐plant distribution of seed trait values, in addition to the mean trait values of individual seeds, when describing plant phenotypes. The inclusion of these data is essential to understand the ecological and evolutionary processes at work in plant–animal interactions.

show abstract

“…It was used a previously developed calibration model (Takahashi et al 2011) to estimate tannin concentration. In brief, the NIR spectra of sound acorns were non-destructively measured (that is, without removing pericarps and seed coats) using a portable NIR spectrophotometer operating in transmittance mode (FQA-NIRGUN; Shizuoka Shibuya Seiki, Hamamatsu, Japan).…”

Section: Estimation Of Tannin Concentration Using Nirsmentioning

confidence: 99%

Variation in seed production schedule among individual trees of a deciduous oak species Quercus serrata: its relation to seed characteristics

2011

Self Cite

View full text Add to dashboard Cite

Intraspecific variation in seed production schedule and its effects on seed characteristics were examined in the deciduous oak species Quercus serrata in Iwate Prefecture, northern Japan. Seed production schedule differed markedly among 31 individual trees. The median dates of seed production differed by over 1 month between the earliest and latest individuals. Relationships between seed production schedule and seed characteristics were investigated at two different scales: the among-tree scale and the within-tree scale. At the within-tree scale, analyses revealed that the seeds dispersed by a tree later in the season tended to be larger in size and lower in tannin concentration. Similarly, at the among-tree scale, analysis revealed that trees with a later seed production schedule produced on average larger acorns. However, no clear tendency was observed between seed production schedule and mean tannin concentration. The observed variation in seed production schedule is likely to affect seed fate per se, and also via changes in seed characteristics.

show abstract

Nondestructive determination of tannin content in intact individual acorns by near‐infrared spectroscopy

Cited by 8 publications

References 30 publications

Evaluation of Astringency and Tannin Content in ‘Xichu’ Persimmons Using Near Infrared Spectroscopy

Evaluation of Astringency and Tannin Content in ‘Xichu’ Persimmons Using Near Infrared Spectroscopy

Effects of within‐plant variability in seed weight and tannin content on foraging behaviour of seed consumers

Variation in seed production schedule among individual trees of a deciduous oak species Quercus serrata: its relation to seed characteristics

Contact Info

Product

Resources

About