Construction method of quantitative evaluation model for the maturity of Korla fragrant pear
Keywords:
Korla fragrant pear, quantitative evaluation, maturity, principal component analysis, model constructionAbstract
The maturity variation laws of Korla fragrant pears were explored for a quantitative evaluation of harvest maturity to solve the reasonable matching between harvest maturity of Korla fragrant pears and market quality demands. Korla fragrant pears from different harvesting periods were chosen as the research objects. Some quality indexes were chosen as the evaluation indexes per industry standards, including hardness, soluble solid content (SSC), single-fruit weight, fruit longitudinal diameter, fruit equatorial diameter, pericarp color parameters (L*, a*, and b*), and titratable acid. Variation data of these quality indexes with accumulated temperature were collected. Scores of several quality indexes were gained through principal component analysis. A mathematical model of scores and accumulated temperatures was constructed. On this basis, a quantitative maturity model of Korla fragrant pears was constructed. Results demonstrate that SSC, single-fruit weight, fruit longitudinal diameter, fruit equatorial diameter, L*, a*, and b* are significantly and positively correlated with the accumulated temperature. Meanwhile, hardness and titratable acid showed significant negative correlations with the accumulated temperature. Relations between scores of principal components and accumulated temperature conform to the Sigmoidal model. The constructed quantitative maturity model of Korla fragrant pears can quantify the maturity of pears. Research conclusions can provide insight into the harvest periods, evaluate Korla fragrant pears’ maturity, and lay a theoretical foundation for quantitative research on fruit maturity. Keywords: Korla fragrant pear, quantitative evaluation, maturity, principal component analysis, model construction DOI: 10.25165/j.ijabe.20221504.6653 Citation: Yu S H, Tang Y R, Lan H P, Li X L, Zhang H, Zeng Y, et al. Construction method of quantitative evaluation model for maturity of Korla fragrant pear. Int J Agric & Biol Eng, 2022; 15(4): 243–250.References
[1] Yu S H, Lan H P, Li X L, Zhang H, Zeng Y, Niu H, et al. Prediction method of shelf life of damaged Korla fragrant pears. Journal of Food Process Engineering, 2021; 44(12): e13902. doi: 10.1111/jfpe.13902.
[2] Lan H P, Jia F G, Tang Y R, Zhang Q, Han Y L, Liu Y. Quantity evaluation method of maturity for Korla fragrant pear. Transactions of the CSAE, 2015; 31(5): 325–330. (in Chinese)
[3] Chełpiński P, Ochmian I, Forczmański P. Sweet cherry skin colour measurement as an non-destructive indicator of fruit maturity. Acta Universitatis Cibiniensis. Series E: Food Technology, 2019; 23(2): 157–166.
[4] Ihsan K, Incilay G, Tugca B, Kubra S, Ibrahim S O, Banu B, et al. Effect of fruit maturity level on quality, sensory properties and volatile composition of two common apricot (Prunus armeniaca L.) varieties. Journal of Food Science and Technology, 2018; 55(7): 2671–2678.
[5] Mazen F M. A., Nashat A A. Ripeness classification of bananas using an artificial neural network. Arabian Journal for Science and Engineering, 2019; 44(8): 6901–6910.
[6] Pu Y Y, Sun D W, Buccheri M, Grassi M, Cattaneo T M P, Gowen A. Ripeness classification of Bananito Fruit (Musa acuminata, AA): A comparison study of visible spectroscopy and hyperspectral imaging. Food Analytical Methods, 2019; 12(8): 1693–1704.
[7] Zhang P, Wei Y Y, Xu F, Wang H F, Chen M J, Shao X F. Changes in the chlorophyll absorbance index (IAD) are related to peach fruit maturity. New Zealand Journal of Crop and Horticultural Science, 2020; 48(1): 34–46.
[8] Tripathi A, Baran C, Jaiswal A, Awasthi A, Uttam R, Sharma S, et al. Investigating the carotenogenesis process in Papaya fruits during maturity and ripening by non-destructive spectroscopic probes. Analytical Letters, 2020; 53(18): 2903–2920.
[9] Alejandra R F, Noferini M, Emilio J F, Rombolà A D. Assessment of technological maturity parameters and anthocyanins in berries of cv. Sangiovese (Vitis vinifera L.) by a portable vis/NIR device. Scientia Horticulturae, 2016; 209: 229–235.
[10] Zhao H W, Han D H, Song S H, Chang D. Screening of maturity characterization factors for mini watermelon fruit. Transactions of the CSAE, 2012; 28(17): 281–286. (in Chinese)
[11] NY/T 585-2002. Korla fragrant pear. National Standard of the People’s
Republic of China, 2002. (in Chinese)
[12] Jin Y, Wong K W, Wu Z D, Qi D B, Wang R, Han F, et al. Relationship between accumulated temperature and quality of paddy. International Journal of Food Properties, 2019; 22(1): 19–33.
[13] Yan M H, Liu X T, Zhang W, Li X J, Liu S. Spatio-temporal changes of ≥10°C Accumulated temperature in northeastern China since 1961. Chinese Geographical Science, 2011; 21(1): 17–26.
[14] Yuan B, Guo J P, Ye M Z, Zhao J F. Variety distribution pattern and climatic potential productivity of spring maize in Northeast China under climate change. Chinese Science Bulletin, 2012; 57(26): 3497–3508.
[15] Huang X, Zhu W Q, Wang X Y, Zhan P, Liu Q F, Li X Y, et al. A method for monitoring and forecasting the heading and flowering dates of winter wheat combining satellite-derived green-up dates and accumulated temperature. Remote Sensing, 2020; 12(21): 3536–3536.
[16] NY/T 881-2004. Technical regulation for production of Korla fragrant pear. National Standard of the People’s Republic of China, 2004. (in Chinese)
[17] Zhou H J, Yu Z F, Ye Z W. Effect of bagging duration on peach fruit peel color and key protein changes based on iTRAQ quantitation. Scientia Horticulturae, 2019; 246: 217–226.
[18] Rita G. G, João C, Domingos P F A. On-tree maturity control of peach cultivars: Comparison between destructive and nondestructive harvest indices. Scientia Horticulturae, 2016; 209: 293–299.
[19] Xia Y, Huang W Q, Fan S X, Li J B, Chen L P. Effect of spectral measurement orientation on online prediction of soluble solids content of apple using Vis/NIR diffuse reflectance. Infrared Physics and Technology, 2019; 97: 467–477.
[20] Fan S X, Li J B, Xia Y, Tian X, Guo Z M, Huang W Q. Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method. Postharvest Biology and Technology, 2019; 151: 79–87.
[21] Xu F X, Liu S Y. Control of postharvest quality in blueberry fruit by combined 1-methylcyclopropene (1-MCP) and UV-C irradiation. Food and Bioprocess Technology, 2017; 10(9): 1695–1703.
[22] Lan H P, Tang Y R, Zhang J Z, He Y M. The model of the Korla fragrant pear mature based on effective accumulated temperature. Applied Mechanics and Materials, 2014, 700: 364–367.
[23] Brummell D A. Cell wall disassembly in ripening fruit. Functional plant biology: FPB, 2006; 33(2): 103–119.
[24] Liu Y, Zhang Q, Niu H, Zhang H, Lan H P, Zeng Y, et al. Prediction method for nutritional quality of Korla pear during storage. Int J Agric & Biol Eng, 2021; 14(3): 247–254.
[25] Wang Z T, Tang Y R, Jin X Z, Liu Y, Zhang H, Niu H, et al. Comprehensive evaluation of Korla fragrant pears and optimization of plucking time during the harvest period. Int J Agric & Biol Eng, 2022; 15(3): 242–250.
[26] Fu H B, Mu X P, Wang P F, Zhang J C, Fu B C, Du J J. Fruit quality and antioxidant potential of Prunus humilis Bunge accessions. PloS One, 2020; 15(12): e0244445. doi: 10.1371/journal.pone.0244445.
[27] Zhang X C, Wang Y A, Wang J, Wang X. Effects of fruit thinning on blueberry fruit maturation and quality. In: Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017), 2018; pp.2182–2185. doi: 10.2991/ifeesm-17.2018.394.
[28] Liu Y Y, Wang T Z, Su R, Hu C, Chen F, Cheng J H. Quantitative evaluation of color, firmness, and soluble solid content of Korla fragrant pears via IRIV and LS-SVM. Agriculture, 2021; 11(8): 731. doi: 10.3390/agriculture11080731.
[29] Lan H P, Tang Y R, Zhang H, An J, Liu W L, Li F J. An experimental study on the variation of physical-chemical indicators for Korla fragrant pear in the maturation stage. In: 2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications, IEEE, 2014; pp.19–23. doi: 10.1109/ISDEA.2014.13.
[30] Sun H X, Zhang S J, Xue J X, Liu J L, Zhao X T. Establishment and analysis of internal comprehensive quality spectral evaluation index for fresh jujube. Transactions of the CSAM, 2017; 48(9): 324–329. (in Chinese)
[31] Gong L Y, Meng X J, Liu N Q, Bi J F. Evaluation of apple quality based on principal component and hierarchical cluster analysis. Transactions of the CSAE, 2014; 30(13): 276–285. (in Chinese)
[2] Lan H P, Jia F G, Tang Y R, Zhang Q, Han Y L, Liu Y. Quantity evaluation method of maturity for Korla fragrant pear. Transactions of the CSAE, 2015; 31(5): 325–330. (in Chinese)
[3] Chełpiński P, Ochmian I, Forczmański P. Sweet cherry skin colour measurement as an non-destructive indicator of fruit maturity. Acta Universitatis Cibiniensis. Series E: Food Technology, 2019; 23(2): 157–166.
[4] Ihsan K, Incilay G, Tugca B, Kubra S, Ibrahim S O, Banu B, et al. Effect of fruit maturity level on quality, sensory properties and volatile composition of two common apricot (Prunus armeniaca L.) varieties. Journal of Food Science and Technology, 2018; 55(7): 2671–2678.
[5] Mazen F M. A., Nashat A A. Ripeness classification of bananas using an artificial neural network. Arabian Journal for Science and Engineering, 2019; 44(8): 6901–6910.
[6] Pu Y Y, Sun D W, Buccheri M, Grassi M, Cattaneo T M P, Gowen A. Ripeness classification of Bananito Fruit (Musa acuminata, AA): A comparison study of visible spectroscopy and hyperspectral imaging. Food Analytical Methods, 2019; 12(8): 1693–1704.
[7] Zhang P, Wei Y Y, Xu F, Wang H F, Chen M J, Shao X F. Changes in the chlorophyll absorbance index (IAD) are related to peach fruit maturity. New Zealand Journal of Crop and Horticultural Science, 2020; 48(1): 34–46.
[8] Tripathi A, Baran C, Jaiswal A, Awasthi A, Uttam R, Sharma S, et al. Investigating the carotenogenesis process in Papaya fruits during maturity and ripening by non-destructive spectroscopic probes. Analytical Letters, 2020; 53(18): 2903–2920.
[9] Alejandra R F, Noferini M, Emilio J F, Rombolà A D. Assessment of technological maturity parameters and anthocyanins in berries of cv. Sangiovese (Vitis vinifera L.) by a portable vis/NIR device. Scientia Horticulturae, 2016; 209: 229–235.
[10] Zhao H W, Han D H, Song S H, Chang D. Screening of maturity characterization factors for mini watermelon fruit. Transactions of the CSAE, 2012; 28(17): 281–286. (in Chinese)
[11] NY/T 585-2002. Korla fragrant pear. National Standard of the People’s
Republic of China, 2002. (in Chinese)
[12] Jin Y, Wong K W, Wu Z D, Qi D B, Wang R, Han F, et al. Relationship between accumulated temperature and quality of paddy. International Journal of Food Properties, 2019; 22(1): 19–33.
[13] Yan M H, Liu X T, Zhang W, Li X J, Liu S. Spatio-temporal changes of ≥10°C Accumulated temperature in northeastern China since 1961. Chinese Geographical Science, 2011; 21(1): 17–26.
[14] Yuan B, Guo J P, Ye M Z, Zhao J F. Variety distribution pattern and climatic potential productivity of spring maize in Northeast China under climate change. Chinese Science Bulletin, 2012; 57(26): 3497–3508.
[15] Huang X, Zhu W Q, Wang X Y, Zhan P, Liu Q F, Li X Y, et al. A method for monitoring and forecasting the heading and flowering dates of winter wheat combining satellite-derived green-up dates and accumulated temperature. Remote Sensing, 2020; 12(21): 3536–3536.
[16] NY/T 881-2004. Technical regulation for production of Korla fragrant pear. National Standard of the People’s Republic of China, 2004. (in Chinese)
[17] Zhou H J, Yu Z F, Ye Z W. Effect of bagging duration on peach fruit peel color and key protein changes based on iTRAQ quantitation. Scientia Horticulturae, 2019; 246: 217–226.
[18] Rita G. G, João C, Domingos P F A. On-tree maturity control of peach cultivars: Comparison between destructive and nondestructive harvest indices. Scientia Horticulturae, 2016; 209: 293–299.
[19] Xia Y, Huang W Q, Fan S X, Li J B, Chen L P. Effect of spectral measurement orientation on online prediction of soluble solids content of apple using Vis/NIR diffuse reflectance. Infrared Physics and Technology, 2019; 97: 467–477.
[20] Fan S X, Li J B, Xia Y, Tian X, Guo Z M, Huang W Q. Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method. Postharvest Biology and Technology, 2019; 151: 79–87.
[21] Xu F X, Liu S Y. Control of postharvest quality in blueberry fruit by combined 1-methylcyclopropene (1-MCP) and UV-C irradiation. Food and Bioprocess Technology, 2017; 10(9): 1695–1703.
[22] Lan H P, Tang Y R, Zhang J Z, He Y M. The model of the Korla fragrant pear mature based on effective accumulated temperature. Applied Mechanics and Materials, 2014, 700: 364–367.
[23] Brummell D A. Cell wall disassembly in ripening fruit. Functional plant biology: FPB, 2006; 33(2): 103–119.
[24] Liu Y, Zhang Q, Niu H, Zhang H, Lan H P, Zeng Y, et al. Prediction method for nutritional quality of Korla pear during storage. Int J Agric & Biol Eng, 2021; 14(3): 247–254.
[25] Wang Z T, Tang Y R, Jin X Z, Liu Y, Zhang H, Niu H, et al. Comprehensive evaluation of Korla fragrant pears and optimization of plucking time during the harvest period. Int J Agric & Biol Eng, 2022; 15(3): 242–250.
[26] Fu H B, Mu X P, Wang P F, Zhang J C, Fu B C, Du J J. Fruit quality and antioxidant potential of Prunus humilis Bunge accessions. PloS One, 2020; 15(12): e0244445. doi: 10.1371/journal.pone.0244445.
[27] Zhang X C, Wang Y A, Wang J, Wang X. Effects of fruit thinning on blueberry fruit maturation and quality. In: Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017), 2018; pp.2182–2185. doi: 10.2991/ifeesm-17.2018.394.
[28] Liu Y Y, Wang T Z, Su R, Hu C, Chen F, Cheng J H. Quantitative evaluation of color, firmness, and soluble solid content of Korla fragrant pears via IRIV and LS-SVM. Agriculture, 2021; 11(8): 731. doi: 10.3390/agriculture11080731.
[29] Lan H P, Tang Y R, Zhang H, An J, Liu W L, Li F J. An experimental study on the variation of physical-chemical indicators for Korla fragrant pear in the maturation stage. In: 2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications, IEEE, 2014; pp.19–23. doi: 10.1109/ISDEA.2014.13.
[30] Sun H X, Zhang S J, Xue J X, Liu J L, Zhao X T. Establishment and analysis of internal comprehensive quality spectral evaluation index for fresh jujube. Transactions of the CSAM, 2017; 48(9): 324–329. (in Chinese)
[31] Gong L Y, Meng X J, Liu N Q, Bi J F. Evaluation of apple quality based on principal component and hierarchical cluster analysis. Transactions of the CSAE, 2014; 30(13): 276–285. (in Chinese)
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2022-09-04
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Yu, S., Tang, Y., Lan, H., Li, X., Zhang, H., Zeng, Y., … Liu, Y. (2022). Construction method of quantitative evaluation model for the maturity of Korla fragrant pear. International Journal of Agricultural and Biological Engineering, 15(4), 243–250. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/6653
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