References
- Barker M, Rayens W (2003) Partial least squares for discrimination. Journal of Chemometrics 17(3): 166-173. https://dx.doi.org/10.1002/cem.785
- Bonner FT (1987) Seed biology and technology of Quercus. Louisiana, U.S.: US Department of Agriculture, Forest Service, Southern Forest Experiment Station, 5-6, 11-12 p
- Cen H, He Y(2007) Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends in Food Science and Technology 18(2): 72-83. https://dx.doi.org/10.1016/j.tifs.2006.09.003
- Chung DH, Yu TJ, Choi BK (1975) Studies on the utilization of acorn starch -part I. properties of acorn starch-. Applied Biological Chemistry 18(2): 102-108
- Chung HI, Kim HJ (2000) Near-infrared spectroscopy: principles. Analytical science & technology 13(1): 138-151
- Connor K (2004) Storing acorns. Native Plants Journal 5(2): 160-166
- Csóka G, Hirka AC (2006) Direct effects of carpophagous insects on the germination ability and early abscission of oak acorns. Acta Silvatica et Lignaria Hungarica 2: 57-67
- Daneshvar A, Tigabu M, Karimidoost A, Oden PC (2015) Single seed near infrared spectroscopy discriminates viable and non-viable seeds of Juniperus polycarpos. Silva Fennica 49(5). https://dx.doi.org/10.14214/sf.1334
- Dorsey CK, Tryon EH, Carvell KL (1962) Insect damage to acorns in West Virginia and control studies using granular systemic insecticides. Journal of Economic Entomology 55(6): 885-888. https://dx.doi.org/10.1093/jee/55.6.885
- FAO (2010) Seeds in emergencies : a technical handbook. Rome: FAO, ISBN 9789251066768
- Farhadi M, Tigabu M, Stener L-G, Odén PC (2016) Feasibility of visible+ near infrared spectroscopy for non-destructive verification of European× Japanese larch hybrid seeds. New Forests 47(2): 271-285
- Feng L, Zhu S, Liu F, He Y, Bao Y, Zhang C (2019) Hyperspectral imaging for seed quality and safety inspection: a review. Plant Methods 15(1): 91-91. https://dx.doi.org/10.1186/s13007-019-0476-y
- Government of Korea (2021) 2050 Carbon neutrality scenarios. Available from https://www.2050cnc.go.kr/eng/board/read?boardManagement-No=28&boardNo=608&searchCategory=&page=1&searchType=&-searchWord=&menuLevel=2&menuNo=65
- Gribko LS (1995) The effect of acorn insects on the establishment and vigor of northern red oak seedlings in north-central West Virginia. Proceedings of the 10th Central Hardwood Forest Conference, West Virginia, U. S.: 430-441
- Gribko LS, Jones WE (1995) Test of the float method of assessing northern red oak acorn condition. Tree Planters’ Notes 46(4): 143-147
- Guo W, Zhao F, Dong J (2016) Nondestructive measurement of soluble solids content of kiwifruits using near-infrared hyperspectral imaging. Food Analytical Methods 9(1): 38-47
- He X, Yan C, Jiang X, Shen F, You J, Fang Y (2021) Classification of aflatoxin B1 naturally contaminated peanut using visible and near-infrared hyperspectral imaging by integrating spectral and texture features. Infrared physics & technology 114: 103652. https://dx.doi.org/10.1016/j.infrared.2021.103652
- Hirayama D, Fujii T, Nanami S, Itoh A, Yamakura T (2012) Two-year cycles of synchronous acorn and leaf production in biennial-fruiting evergreen oaks of subgenus Cyclobalanopsis (Quercus, Fagaceae). Ecological Research 27(6): 1059-1068. https://dx.doi.org/10.1007/s11284-012-0986-9
- Hwang JS, Kang JT, Son YM, Jeon HS (2015) Prediction of the optimal growth site and estimation of carbon stocks for Quercus acuta in Wando Area. Journal of Climate Change Research 6(4): 319. https://dx.doi.org/10.15531/ksccr.2015.6.4.319
- Jamshidi B (2020) Ability of near-infrared spectroscopy for non-destructive detection of internal insect infestation in fruits: Meta-analysis of spectral ranges and optical measurement modes. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy 225: 117479. https://dx.doi.org/10.1016/j.saa.2019.117479
- Jamshidi B, Mohajerani E, Farazmand H, Mahmoudi A, Hemmati A (2019) Pattern recognition-based optical technique for non-destructive detection of Ectomyelois ceratoniae infestation in pomegranates during hidden activity of the larvae. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 206: 552-557
- Khan S, Habib A (2015) Effect of pre-sowing treatments on seed germination in Quercus glauca Thunb., collected from different sampling sites of the Himalayan region of Pakistan. International Journal of Biosciences 6(11): 42-48
- Kim C, Kim W, Song W, Cho J, Choi J (2023) Prediction of native seed habitat distribution according to ssp scenario and seed transfer zones: a focus on Acer pictum subsp. mono and Quercus acuta. Forests 14(1): 87
- Kim HJ, Lee SH (2017) Estimating carbon storage and CO2 absorption by developing allometric equations for Quercus acuta in South Korea. Forest science and technology 13(2): 55-60
- Kim S, Park I-H (2021) Acorn production and characteristics of Quercus acuta thunb-Focused on Wando, Jindo and Haenam in Jeollanam-do, Korea. Korean Journal of Environment and Ecology 35(6): 621-631
- Lee JH, Choi BH (2010) Distribution and northernmost limit on the Korean Peninsula of three evergreen trees. Korean Journal of Plant Taxonomy 40(4): 267
- Lowe A, Harrison N, French AP (2017) Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress. Plant Methods 13(1): 80-80. https://dx.doi.org/10.1186/s13007-017-0233-z
- Moscetti R, Haff RP, Saranwong S, Monarca D, Cecchini M, Massantini R (2014) Nondestructive detection of insect infested chestnuts based on NIR spectroscopy. Postharvest biology and technology 87: 88-94. https://dx.doi.org/10.1016/j.postharvbio.2013.08.010
- Munera S, Rodríguez-Ortega A, Aleixos N, Cubero S, Gómez-Sanchis J, Blasco J (2021) Detection of invisible damages in ‘rojo brillante’ persimmon fruit at different stages using hyperspectral imaging and chemometrics. Foods 10(9): 2170. https://dx.doi.org/10.3390/foods10092170
- Næs T, Isaksson T, Fearn T, Davies T (2002) A user-friendly guide to multivariate calibration and classification. Chichester, UK: NIR Publications, ISBN 978-1-906715-25-0
- NFSV (The National Forest Seed and Variety Center) (2021) The 2nd plan for the management and establishment of the seed orchard (2022~2026).
- Novikov AI (2019) Visible wave spectrometric features of scots pine seeds: the basis for designing a rapid analyzer. In: 2020 IOP Conference Series: Earth and Environmental Science.: Earth Environmental Science. Bristol, UK: IOP Publishing, p 12064
- Novikov AI, Ersson BT, Malyshev VV, Petrishchev EP, Ilunina AA (2020) Mechanization of coniferous seeds grading in Russia: a selected literature analysis. In: 2020 IOP Conference Series: Earth and Environmental Science.: Earth Environmental Science. Bristol: IOP Publishing, p 12060
- Novikov AI, Novikova TP (2018) Non-destructive quality control of forest seeds in globalization: Problems and prospects of output innovative products. Globalization and Its Socio-Economic Consequences: 1260-1267
- Rahman A, Wang S, Yan J, Xu H (2021) Intact macadamia nut quality assessment using near-infrared spectroscopy and multivariate analysis. Journal of food composition and analysis 102: 104033. https://dx.doi.org/10.1016/j.jfca.2021.104033
- Rinnan Å, Van Den Berg F, Engelsen SB (2009) Review of the most common pre-processing techniques for near-infrared spectra. TrAC Trends in Analytical Chemistry 28(10): 1201-1222
- Shenk JS, Westerhaus MO (1993) Near infrared reflectance analysis with single and multiproduct calibrations. Crop Science 33(3): 582-584
- Son YM, Kim RH, Kang JT, Lee KS, Kim SW (2014) A practical application and development of carbon emission factors for 4 major species of warm temperate forest in Korea. Journal of Korean Forest Society 103(4): 593-598. https://dx.doi.org/10.14578/jkfs.2014.103.4.593
- Takahashi A, Shimada T, Kawano S (2011) Nondestructive determination of tannin content in intact individual acorns by near-infrared spectroscopy. Ecological Research 26(3): 679-685. https://dx.doi.org/10.1007/s11284-011-0823-6
- Tigabu M, Daneshvar A, Wu R, Ma X, Christer Odén P (2019) Rapid and non-destructive evaluation of seed quality of Chinese fir by near infrared spectroscopy and multivariate discriminant analysis. New Forests 51(3): 395-408. https://dx.doi.org/10.1007/s11056-019-09735-8
- Tigabu M, Fjellström J, Odén PC, Teketay D (2007) Germination of Juniperus procera seeds in response to stratification and smoke treatments, and detection of insect-damaged seeds with VIS + NIR spectroscopy. New Forests 33(2): 155-169. https://dx.doi.org/10.1007/s11056-006-9020-9
- Tigabu M, Odén PC (2002) Multivariate classification of sound and insect-infested seeds of a tropical multipurpose tree, Cordia africana, with near infrared reflectance spectroscopy. Journal of Near Infrared Spectroscopy 10(1): 45-51
- Wang J, Nakano K, Ohashi S, Takizawa K, He J (2010) Comparison of different modes of visible and near-infrared spectroscopy for detecting internal insect infestation in jujubes. Journal of Food Engineering 101(1): 78-84
- Wang Z, Künnemeyer R, McGlone A, Burdon J (2020) Potential of Vis-NIR spectroscopy for detection of chilling injury in kiwifruit. Postharvest biology and technology 164: 111160. https://dx.doi.org/10.1016/j.postharvbio.2020.111160
- Wati RK, Pahlawan MFR, Masithoh RE (2021) Development of calibration model for pH content of intact tomatoes using a low-cost Vis/NIR spectroscopy. In: 2021 IOP Conference Series: Earth and Environmental Science.: Earth Environmental Science. Bristol: IOP Publishing, p 12049
- Xia K, Daws MI, Stuppy W, Zhou Z-K, Pritchard HW (2012) Rates of water loss and uptake in recalcitrant fruits of Quercus species are determined by pericarp anatomy. PLoS One 7(10): e47368-e47368. https://dx.doi.org/10.1371/journal.pone.0047368
- Zhang Z, Liu H, Chen D, Zhang J, Li H, Shen M, Pu Y, Zhang Z, Zhao J, Hu J (2022) SMOTE-based method for balanced spectral nondestructive detection of moldy apple core. Food control 141: 109100. https://dx.doi.org/10.1016/j.foodcont.2022.109100