Evaluation of Environmental Adaptability of 22 Grape Cultivars with Different Evaluation Methods

doi:10.7668/hbnxb.201751723

Abstract

Abstract: In order to determine the methods of evaluating the environmental adaptability of different grape varieties in protected culture, it provides the theoretical basis for the selection of grape varieties. First, by measuring 22 kinds of grape cultivars photosynthetic physiological index and leaf physiological index which included light compensation point, apparent quantum efficiency, photosynthetic potential, total chlorophyll content, Chlorophyll a content, Chlorophyll b content, palisade tissue thickness, spongy tissue thickness, blade thickness, dry specific leaf weight,carbon dioxide compensation point, carboxylation efficiency, transpiration rate, dark respiration rate, water use efficiency and so on. Then using correlation analysis to find the significant correlation index with annual yield ability from these indices. Finally, based on the physiological indicators closely related to annual yield ability, using entropy method, Topsis comprehensive evaluation method and Topsis comprehensive evaluation method with entropy weight to analyze and compare the environmental adaptability of the grape facilities and taking annual yield ability as a verification indicator to screen out a quick and effective method for evaluating the environmental adaptability of the grapes in the facility. The result showed that：Centenial Seedless and Hongxiangfei grape varieties can be used as reference varieties for evaluating whether a certain grape variety is suitable for facility cultivation. Four parameters, such as light compensation point, chlorophyll a content, total chlorophyll content, and difference in photosynthetic potential inside and outside the facility, are significantly related to annual yield coefficient, and can be used as basic data for evaluating the environmental adaptability of the facility. Evaluation result of Topsis comprehensive evaluation method with entropy weight to the environmental adaptability of facilities grape is most similar with the result of annual yield ability evaluation, and Topsis comprehensive evaluation method is the second, and entropy method is the worst.

Key words: Grape, Environmental adaptability, Annual yield ability, Physiological index, Comprehensive evaluation method

CLC Number:

S663.01

WANG Haibo, WANG Xiaodi, HAN Xiao, XIE Jimeng, SHI Xiangbin, JI Xiaohao, WANG Baoliang, ZHENG Xiaocui, WANG Zhiqiang, LIU Fengzhi. Evaluation of Environmental Adaptability of 22 Grape Cultivars with Different Evaluation Methods[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2019, 34(S1): 92-98. doi: 10.7668/hbnxb.201751723.

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References

[1] 王海波, 王孝娣, 史祥宾, 王宝亮, 郑晓翠, 刘凤之. 葡萄不同品种对设施环境的适应性[J]. 中国农业科学, 2013, 46(6):1213-1220. doi:10.3864/j.issn.0578-1752.2013.06.015.
Wng H B, Wang X D, Shi X B, Wang B L, Zheng X C, Liu F Z. Environmental adaptability of different grape cultivars in greenhouse[J]. Scientia Agricultura Sinica, 2013, 46(6):1213-1220.
[2] 赵丽, 朱永明, 付梅臣, 张蓬涛, 曹银贵. 主成分分析法和熵值法在农村居民点集约利用评价中的比较[J]. 农业工程学报, 2012, 28(7):235-242. doi:10.3969/j.issn.1002-6819.2012.07.039.
Zao L, Zhu Y M, Fu M C, Zhang P T, Cao Y G. Comparative study on intensive use of rural residential land based on principal component analysis and method[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(7):235-242.
[3] 洪惠坤, 廖和平, 魏朝富, 李涛, 谢德体. 基于改进TOPSIS方法的三峡库区生态敏感区土地利用系统健康评价[J]. 生态学报, 2015, 35(24):8016-8027. doi:10.5846/stxb201406301353.
Hng H K, Liao H P, Wei C F, Li T, Xie D T. Health assessment of a land use system used in the ecologically sensitive area of the three gorges reservoir area,based on the improved TOPSIS Method[J]. Acta Ecologica Sinica,2015, 35(24):8016-8027.
[4] Hamdan S, Cheaitou A. Green supplier selection and order allocation using an integrated fuzzy TOPSIS, AHP and IP approach[C]. International Conference on Industrial Engineering and Operations Management,2015:1-10. doi:10.1109/IEOM.2015.7093826.
[5] Arabzad S M, Ghorbani M, Razmi J, Shirouyehzard H. Employing fuzzy TOPSIS and SWOT for supplier selection and order all ocation problem[J]. The International Journal of Advanced Manufacturing Technology, 2015, 76(5):803-818. doi:10.1007/s00170-014-6288-3.
[6] Gwiazda P, Wiedemann E. Generalized entropy method for the renewal equation with measure data[J]. Communications in mathematical sciences, 2016, 15(2):577-586. doi:10.4310/CMS.2017.v15.n2.a13.
[7] Li P, Li K, Liu C Y, Zheng D C, Li Z M, Liu C C. Detection of coupling in short physiological series by a jointdistribution entropy method[J]. IEEE Transactions on Biomedical Engineering, 2016,63(11):2231-2242. doi:10.1109/TBME.2016.2515543.
[8] Sun L Y, Miao C L, Yang L. Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method[J]. Ecological Indicators, 2017, 73:554-558. doi:10.1016/j.ecolind.2016.10.018.
[9] 公丽艳, 孟宪军, 刘乃侨, 毕金峰. 基于主成分与聚类分析的苹果加工品质评价[J]. 农业工程学报, 2014, 30(13):276-285. doi:10.3969/j.issn.1002-6819.2014.13.034.
Gng L Y, Meng X J, Liu N Q, Bi J F. Evaluation of apple quality based on principal component and hierarchical cluster analysis[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(13):276-285.
[10] 韩晓, 刘凤之, 谢计蒙, 王孝娣, 冀晓昊, 王海波. 四种综合评价法对不同葡萄品种设施环境适应性的评价和比较[J]. 植物生理学报, 2017, 53(12):2235-2243. doi:10.13592/j.cnki.ppj.2017.0218.
Hn X, Liu F Z, Xie J M, Wang X D, Ji X H, Wang H B. Comparison of four comprehensive evaluation methods in evaluating environmental adaptabilities of different grape cultivars[J]. Plant Physiology Journal, 2017, 53(12):2235-2243.
[11] 叶子飘, 于强. 一个光合作用光响应新模型与传统模型的比较[J]. 沈阳农业大学学报, 2007, 38(6):771-775. doi:10.3969/j.issn.1000-1700.2007.06.001.
Y Z P, Yu Q. Comparison of a new model of light response of photosynthesis with traditional models[J]. Journal of Shenyang Agricultural University, 2007, 38(6):771-775.
[12] 叶子飘, 于强. 光合作用光响应模型的比较[J]. 植物生态学报, 2008,32(6):1356-1361. doi:10.3773/j.issn.1005-264x.2008.06.016.
Y Z P, Yu Q. Comparison of new and several classical models of photo-synthesis in response to irradiance[J]. Journal of Plant Ecology, 2008, 32(6):1356-1361.
[13] 汤章城. 现代植物生理学实验指南[M]. 北京:科学出版社, 1999.
Tng Z C. Modern plant physiology experiment guide[M]. Beijing:Science Press, 1999.
[14] 谢计蒙. 设施葡萄促早栽培适宜品种的评价与筛选[M]. 北京:中国农业科学院, 2012.
Xe J M. Evaluating and Screening of the appropriate grape cultivars to promote early maturing in greenhouse[M]. Beijing:Chinese Academy of Agricultural Sciences, 2012.
[15] 赵世杰. 植物生理学实验指导[M]. 北京:中国农业科技出版社, 1998.
Zao S J. Plant physiology experiment guide[M]. Beijing:China Agricultural Science and Technology Press, 1998.
[16] Rubinstein R Y, Kroese D P. The Cross-entropy method[J]. Technometrics, 2004, 50(1):92. doi:10.1002/9780470230381.ch8.
[17] Jin H P, Park I Y, Kwun Y C, Tan X G. Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment[J]. Applied Mathematical Modelling, 2014, 35(5):2544-2556. doi:10.1016/j.apm.2010.11.025.
[18] Wang J, Zhang M S. Notice of retraction analysis of competitiveness evaluating index system of selected international shipping center based on SPA[C]. The International Conference on E-Business and E-Government, 2010:2898-2902. doi:10.1109/ICEE.2010.732.
[19] 黄持都, 陈计峦, 胡小松, 廖小军, 张燕, 吴继红. 光对采后果蔬叶绿素降解动力学研究[J]. 农业工程学报, 2008, 24(10):233-238. doi:10.3321/j.issn:1002-6819.2008.10.047.
Hang C D, Chen J L, Hu X S, Liao X J, Zhang Y, Wu J H. Kinetics for photo-degradation of chlorophyll in postharvest fruit and vegetable[J]. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24(10):233-238.
[20] 雷勋平, Robin Qiu, 刘勇. 基于熵权TOPSIS模型的区域土地利用绩效评价及障碍因子诊断[J]. 农业工程学报, 2016, 32(13):243-253. doi:10.11975/j.issn.1002-6819.2016.13.035.
Li X P, Robin Q, Liu Y. Evaluation of regional land use performance based on entropy TOPSIS model and diagnosis of itsobstacle factors[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(13):243-253.
[21] 信桂新, 杨朝现, 杨庆媛, 李承桧, 魏朝富. 用熵权法和改进TOPSIS模型评价高标准基本农田建设后效应[J]. 农业工程学报, 2017, 33(1):238-249. doi:10.11975/j.issn.1002-6819.2017.01.033.
Xn G X, Yang C X, Yang Q Y, Li C H, Wei C F. Post-evaluation of well-facilitied capital farmland construction based on entropy weight method and improved TOPSIS model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(1):238-249.

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