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Journal of Integrative Agriculture  2018, Vol. 17 Issue (06): 1338-1347    DOI: 10.1016/S2095-3119(17)61826-4
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Multivariate analysis between meteorological factor and fruit quality of Fuji apple at different locations in China
ZHANG Qiang1, 2, ZHOU Bei-bei2, LI Min-ji2, WEI Qin-ping2, HAN Zhen-hai1
1 Key Laboratory of Biology and Genetic Improvement of Horticultural Crop (Nutrition and Physiology) Sciences, Ministry of Agriculture/College of Horticulture, China Agricultural University, Beijing 100193, P.R.China
2 Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture/Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, P.R.China
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Abstract  
China has the largest apple planting area and total yield in the world, and the Fuji apple is the major cultivar, accounting for more than 70% of apple planting acreage in China.  Apple qualities are affected by meteorological conditions, soil types, nutrient content of soil, and management practices.  Meteorological factors, such as light, temperature and moisture are key environmental conditions affecting apple quality that are difficult to regulate and control.  This study was performed to determine the effect of meteorological factors on the qualities of Fuji apple and to provide evidence for a reasonable regional layout and planting of Fuji apple in China.  Fruit samples of Fuji apple and meteorological data were investigated from 153 commercial Fuji apple orchards located in 51 counties of 11 regions in China from 2010 to 2011.  Partial least-squares regression and linear programming were used to analyze the effect model and impact weight of meteorological factors on fruit quality, to determine the major meteorological factors influencing fruit quality attributes, and to establish a regression equation to optimize meteorological factors for high-quality Fuji apples.  Results showed relationships between fruit quality attributes and meteorological factors among the various apple producing counties in China.  The mean, minimum, and maximum temperatures from April to October had the highest positive effects on fruit qualities in model effect loadings and weights, followed by the mean annual temperature and the sunshine percentage, the temperature difference between day and night, and the total precipitation for the same period.  In contrast, annual total precipitation and relative humidity from April to October had negative effects on fruit quality.  The meteorological factors exhibited distinct effects on the different fruit quality attributes.  Soluble solid content was affected from the high to the low row preface by annual total precipitation, the minimum temperature from April to October, the mean temperature from April to October, the temperature difference between day and night, and the mean annual temperature.  The regression equation showed that the optimum meteorological factors on fruit quality were the mean annual temperature of 5.5–18°C and the annual total precipitation of 602–1 121 mm for the whole year, and the mean temperature of 13.3–19.6°C, the minimum temperature of 7.8–18.5°C, the maximum temperature of 19.5°C, the temperature difference of 13.7°C between day and night, the total precipitation of 227 mm, the relative humidity of 57.5–84.0%, and the sunshine percentage of 36.5–70.0% during the growing period (from April to October).
Keywords:  Fuji apple ')" href="#">  
Received: 12 June 2017   Accepted:
Fund: This work was supported by the Forest Scientific Research in the Public Interest, China (201404720), the earmarked fund for the China Agriculture Research System (CARS-27), and the Beijing Municipal Education Commission, China (CEFF-PXM2017_014207_000043).
Corresponding Authors:  Correspondence HAN Zhen-hai, Tel: +86-10-62732647, E-mail: rschan@cau.edu.cn   
About author:  ZHANG Qiang, E-mail: zq800824@126.com;
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ZHANG Qiang
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ZHANG Qiang, ZHOU Bei-bei, LI Min-ji, WEI Qin-ping, HAN Zhen-hai. 2018. Multivariate analysis between meteorological factor and fruit quality of Fuji apple at different locations in China. Journal of Integrative Agriculture, 17(06): 1338-1347.

Armelle V, Hainan G, Silvia D. 2005. How rainfall, relative humidity and temperature influence volatile emissions from apple trees in situ. Phytochemistry, 66, 1540–1550.
Bertone E, Venturello A, Leadi R. 2012. Prediction of the optimum harvest time of ‘Scarlet’ apples using DR-UV-Vis and NIR spectroscopy. Postharvest Biology and Technology, 69, 15–23.
Casero T, Benavides A, Puy J, Recasens I. 2004. Relationships between leaf and fruit nutrients and fruit quality attributes in golden smoothee apples using multivariate regression techniques. Journal of Plant Nutrition, 27, 313–324.
Chand H, Verma S C, Bhardwaj S K, Sharma S D, Mahajan P K, Sharma R. 2016. Effect of changing climatic conditions on chill units accumulation and productivity of apple in mid hill sub humid zone of western himalayas, India. Current World Environment, 11, 142–149.
Duan X F, Zhang L, Jin F, Wei J G, Du H J. 2014. Research progress of effects of meteorological factors on apple yield and quality. Chinese Agricultural Science Bulletin, 30, 33–37. (in Chinese)
Forshey C G. 1990. Factors affecting ‘Empire’ fruit size. Proceedings New York State Horticulture Society, 135, 71–74.
Gao H, Fan H K, Lu Y M, Wan Y Z, Wang L C, Zhao Z Y. 2009, Relationship between fruit quality of ‘Pink Lady’ apple and meteorological factors in Chinese Weibei Highland areas. Journal of Northwest A&F University, 37, 97–101. (in Chinese)
Gao H X. 2002. Statistical analyses for multiple correlation variables of two sets(3) (partial least-sguares regression and PLS procedure). Application of Statistics and Management, 21, 58–64. (in Chinese)
Hewett E W. 2006. An overview of preharvest factors influencing postharvest quality of horticultural products. International Journal of Postharvest Technology and Innovation, 1, 4–15.
Kays S J. 1999. Preharvest factors affecting quality. Postharvest Biology and Technology, 15, 233–247.
Lachapelle M, Gaétan B, Jennifer D, Katrine A S, Philippe S. 2013. Modeling the effect of preharvest weather conditions on the incidence of soft scald in ‘Honeycrisp’ apples. Postharvest Biology and Technology, 85, 57–66.
Lakatos L, Malgorzata B P, Zyromsk A. 2012. Effect of night and day temperature on the cover colour and quality parameters of apple. Journal Water Land Development, 16, 23–28.
Li X M, Bai Q F, Zhu L. 2011. The influence of climate change on suitability of Shaanxi apple growth. Journal of Applied Meteorological Science, 22, 241–248. (in Chinese)
Luedeling E, Guo L, Dai J, Leslie C, Blanke M M. 2013. Differential responses of trees to temperature variation during the chilling and forcing phases. Agricultural and Forest
 Meteorology, 181, 33–42.
Maude L, Gaétan B, Jennifer D, Katrine A S, Philippe S. 2013. Modeling the effect of preharvest weather conditions on the incidence of soft scald in ‘Honeycrisp’ apples. Postharvest Biology and Technology, 85, 57–66.
Melke A, Fetene M. 2014. Apples Phenology in ethiopian highlands: Plant growth, blooming, fruit development and fruit quality perspectives. American Journal of Experimental Agriculture, 4, 1958–1995.
Mendoza F, Lu R, Ariana D, Cen H. 2011. Integrated spectral and image analysis of hyperspectral scattering data for prediction of apple fruit firmness and soluble solids content. Postharvest Biology and Technology, 62, 149–160.
Qu Z J, Zhou G S. 2016a. Climate suitability for potential Fuji apple cultivation in China. Acta Meteorologica Sinaca, 74, 479–490. (in Chinese)
Qu Z J, Zhou G S. 2016b. Possible impact of climate change on the quality of apples from the major producing areas of China. Atmosphere, 7, 1–18.
Sugiura T, Ogawa H, Fukuda N, Moriguchi T. 2013. Changes in the taste and textural attributes of apples in response to climate change. Scientific Reports, 3, 113.
Takashi T, Hisashi Y. 1988. Relationship between temperature and fruit quality of apple cultivars grown at different locations. Journal of the Japanese Society for Horticultural Science, 56, 391–397.
Wang H W, Liu Q, Tu Y P. 2000. Identification of optimal subspace from PLS regression. Journal of Beijing University of Aeronautics, 26, 473–476. (in Chinese)
Warrington I J, Fulton T A, Halligan E A, De Silva H N. 1999. Apple fruit growth and maturity are affected by early season temperature. Journal of the American Society for Horticultural Science, 124, 468–477.
Wei Q P, Cheng S H, Tang F, Li J R. 1999. Relationship between fruit quality of Fuji apple and meteorological factors. Chinese Journal of Applied Ecology, 10, 289–292. (in Chinese)
Wei Q P, Zhang J X, Mao Z Q, Li J R. 2003. Optimum meteorological factors and climate divisions of apple for good quality. Chinese Journal of Applied Ecology, 14, 713–716. (in Chinese)
Wold S, Sjöström M, Eriksson L. 2001. PLS-regression: A basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 58, 109–130.
Xing D X, Chang Q R. 2008. Research on predicting the Fe, Mn, Cu, Zn contents in fruit trees fresh leaves by spectral analysis ‘Red Fuji’ apple tree as an example. Journal of Northwest A&F University (Natural Science Edition), 36, 143–150. (in Chinese)
Xing D X, Chang Q R. 2009. Research on predicting the TN, TP, TK contents of fresh fruit tree leaves by spectral analysis with Fuji apple tree as an example. Journal of Northwest A&F University (Natural Science Edition), 37, 141–147. (in Chinese)
Zhang Q, Li M J, Zhou B B, Li X L, Wei Q P. 2017. Multivariate analysis of relationship between soil nutrient factors and fruit quality characteristic of Fuji apple in two dominant production regions of China. Chinese Journal of Applied Ecology, 28, 105–114. (in Chinese)
Zhang Q, Li X L, Li M J, Zhou B B, Sun J, Wei Q P. 2016. The correlation analysis between quality characteristics and fruit mineral element contents in Fuji apples. Journal of Fruit Science, 33, 1388–1395. (in Chinese)
Zhang Y, Xie Y S, Hao M D. 2011. Limiting ecological factors evaluation of high-quality apple at Wangdonggou Watershed in Loess Gully Region. Scientia Agricultura Sinica, 44, 1184–1190. (in Chinese)
Zhou B B, Zhang Q, Sun J, Li X L, Wei Q P. 2016. Study and application of partial least squares regression on relationship between soil nutrient and fruit quality. Agricultural Science & Technology, 17, 362–366.
Zhu L, Guo Z X, Li H C, Zhang L S. 2001. Analysis of climatic conditions affecting the quality of Fuji apple and climate division in Shaanxi Province. Agricultural Meteorology, 22, 50–53.
 
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