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Determination of Seed Soundness in Conifers Cryptomeria japonica and Chamaecyparis obtusa Using Narrow-Multiband Spectral Imaging in the Short-Wavelength Infrared Range.

Matsuda O, Hara M, Tobita H, Yazaki K, Nakagawa T, Shimizu K, Uemura A, Utsugi H - PLoS ONE (2015)

Bottom Line: Regeneration of planted forests of Cryptomeria japonica (sugi) and Chamaecyparis obtuse (hinoki) is the pressing importance to the forest administration in Japan.Based on these observations, a reflectance index SQI, abbreviated for seed quality index, was formulated using reflectance at three narrow SWIR wavebands so that it represents the extent of the depression.Thus, the methods described are readily applicable toward low-cost seedling production in combination with single seed sowing technology.

View Article: PubMed Central - PubMed

Affiliation: Department of Biology, Faculty of Sciences, Kyushu University, Fukuoka, Japan.

ABSTRACT
Regeneration of planted forests of Cryptomeria japonica (sugi) and Chamaecyparis obtuse (hinoki) is the pressing importance to the forest administration in Japan. Low seed germination rate of these species, however, has hampered low-cost production of their seedlings for reforestation. The primary cause of the low germinability has been attributed to highly frequent formation of anatomically unsound seeds, which are indistinguishable from sound germinable seeds by visible observation and other common criteria such as size and weight. To establish a method for sound seed selection in these species, hyperspectral imaging technique was used to identify a wavelength range where reflectance spectra differ clearly between sound and unsound seeds. In sound seeds of both species, reflectance in a narrow waveband centered at 1,730 nm, corresponding to a lipid absorption band in the short-wavelength infrared (SWIR) range, was greatly depressed relative to that in adjacent wavebands on either side. Such depression was absent or less prominent in unsound seeds. Based on these observations, a reflectance index SQI, abbreviated for seed quality index, was formulated using reflectance at three narrow SWIR wavebands so that it represents the extent of the depression. SQI calculated from seed area-averaged reflectance spectra and spatial distribution patterns of pixelwise SQI within each seed area were both proven as reliable criteria for sound seed selection. Enrichment of sound seeds was accompanied by an increase in germination rate of the seed lot. Thus, the methods described are readily applicable toward low-cost seedling production in combination with single seed sowing technology.

No MeSH data available.


Related in: MedlinePlus

Correlation between anatomical soundness and seed quality index calculated from area-averaged reflectance spectra (SQIareal).
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pone.0128358.g005: Correlation between anatomical soundness and seed quality index calculated from area-averaged reflectance spectra (SQIareal).

Mentions: To ensure the reliability of SQI as a measure to estimate anatomical soundness of sugi and hinoki seeds, SQI was calculated for all individual seeds that have passed through hyperspectral imaging followed by a cutting test. Fig 5 shows distribution as well as frequency distribution of SQI for each seed group in the two seed lots for each tree species. Here, SQI was calculated from average reflectance spectra of the area corresponding to each individual seed. For clarity’s sake, SQI derived from area-averaged reflectance spectra will be hereafter expressed as SQIareal, apart from SQIpixel described later. Although distribution of SQIareal, especially the value range, was largely different between species, there appeared a tendency that sound seeds exhibited lower SQIareal than unsound ones in every seed lot. If this was common to all sugi and hinoki seeds, it would be possible to schematize a procedure of sound seed selection by setting an upper threshold of SQI (maxSQI) for each seed lot and then picking up all seeds representing SQIareal lower than the maxSQI. Because whether to select each individual seed is governed by a single parameter, maxSQI, this seed selection procedure will be designated as “single parameter method”, apart from “dual parameter method” described later.


Determination of Seed Soundness in Conifers Cryptomeria japonica and Chamaecyparis obtusa Using Narrow-Multiband Spectral Imaging in the Short-Wavelength Infrared Range.

Matsuda O, Hara M, Tobita H, Yazaki K, Nakagawa T, Shimizu K, Uemura A, Utsugi H - PLoS ONE (2015)

Correlation between anatomical soundness and seed quality index calculated from area-averaged reflectance spectra (SQIareal).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4470962&req=5

pone.0128358.g005: Correlation between anatomical soundness and seed quality index calculated from area-averaged reflectance spectra (SQIareal).
Mentions: To ensure the reliability of SQI as a measure to estimate anatomical soundness of sugi and hinoki seeds, SQI was calculated for all individual seeds that have passed through hyperspectral imaging followed by a cutting test. Fig 5 shows distribution as well as frequency distribution of SQI for each seed group in the two seed lots for each tree species. Here, SQI was calculated from average reflectance spectra of the area corresponding to each individual seed. For clarity’s sake, SQI derived from area-averaged reflectance spectra will be hereafter expressed as SQIareal, apart from SQIpixel described later. Although distribution of SQIareal, especially the value range, was largely different between species, there appeared a tendency that sound seeds exhibited lower SQIareal than unsound ones in every seed lot. If this was common to all sugi and hinoki seeds, it would be possible to schematize a procedure of sound seed selection by setting an upper threshold of SQI (maxSQI) for each seed lot and then picking up all seeds representing SQIareal lower than the maxSQI. Because whether to select each individual seed is governed by a single parameter, maxSQI, this seed selection procedure will be designated as “single parameter method”, apart from “dual parameter method” described later.

Bottom Line: Regeneration of planted forests of Cryptomeria japonica (sugi) and Chamaecyparis obtuse (hinoki) is the pressing importance to the forest administration in Japan.Based on these observations, a reflectance index SQI, abbreviated for seed quality index, was formulated using reflectance at three narrow SWIR wavebands so that it represents the extent of the depression.Thus, the methods described are readily applicable toward low-cost seedling production in combination with single seed sowing technology.

View Article: PubMed Central - PubMed

Affiliation: Department of Biology, Faculty of Sciences, Kyushu University, Fukuoka, Japan.

ABSTRACT
Regeneration of planted forests of Cryptomeria japonica (sugi) and Chamaecyparis obtuse (hinoki) is the pressing importance to the forest administration in Japan. Low seed germination rate of these species, however, has hampered low-cost production of their seedlings for reforestation. The primary cause of the low germinability has been attributed to highly frequent formation of anatomically unsound seeds, which are indistinguishable from sound germinable seeds by visible observation and other common criteria such as size and weight. To establish a method for sound seed selection in these species, hyperspectral imaging technique was used to identify a wavelength range where reflectance spectra differ clearly between sound and unsound seeds. In sound seeds of both species, reflectance in a narrow waveband centered at 1,730 nm, corresponding to a lipid absorption band in the short-wavelength infrared (SWIR) range, was greatly depressed relative to that in adjacent wavebands on either side. Such depression was absent or less prominent in unsound seeds. Based on these observations, a reflectance index SQI, abbreviated for seed quality index, was formulated using reflectance at three narrow SWIR wavebands so that it represents the extent of the depression. SQI calculated from seed area-averaged reflectance spectra and spatial distribution patterns of pixelwise SQI within each seed area were both proven as reliable criteria for sound seed selection. Enrichment of sound seeds was accompanied by an increase in germination rate of the seed lot. Thus, the methods described are readily applicable toward low-cost seedling production in combination with single seed sowing technology.

No MeSH data available.


Related in: MedlinePlus