Vol.32, NO.4, 2021
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Article Navigation >  Journal of Applied Meteorological Science  > 2021  >  32(4): 443-455
Chen Hui, Lin Jing, Yang Kai, et al. Construction and application of climate quality evaluation model for Indian jujube. J Appl Meteor Sci, 2021, 32(4): 443-455. DOI:  10.11898/1001-7313.20210406.
Citation: Chen Hui, Lin Jing, Yang Kai, et al. Construction and application of climate quality evaluation model for Indian jujube. J Appl Meteor Sci, 2021, 32(4): 443-455. DOI:  10.11898/1001-7313.20210406.
shu

Construction and Application of Climate Quality Evaluation Model for Indian Jujube

DOI: 10.11898/1001-7313.20210406
  • 1.

    Fujian Institute of Meteorological Science, Fuzhou 350001

  • 2.

    Fujian Key Laboratory of Severe Weather, Fuzhou 350001

  • 3.

    Chinese Academy of Meteorological Sciences, Beijing 100081

  • 4.

    Fuqing Municipal Meteorological Bureau of Fujian Province, Fuqing 350300

  • 5.

    Meteorological Experiment Station of Tropical Crops in Zhangzhou, Fujian Province, Zhangzhou 363001

  • Received Date: 2021-03-17
  • Rev Recd Date: 2021-05-31
  • Publish Date: 2021-07-31
    Abstract
  • In order to adapt and fully utilize climate resources, improve the quality of Indian jujube, and increase the income and economic benefits of fruit farmers, 62 samples of fresh fruit weight, soluble sugar, soluble solids, vitamin C, hardness and other main quality factors are obtained from the field experiments in main production areas of Indian jujube in Fujian and Guangdong from 2015 to 2016. Combining literature review, expert investigation and quantitative grade evaluation standard of conventional agrometeorological conditions, the key climatic factors affecting the quality of Indian jujube are selected, and the grade evaluation model of climatic quality of Indian jujube is established. The temporal and spatial distribution of climate quality of Indian jujube in Fujian is analyzed based on 36 independent samples of main quality and meteorological data in major Indian jujube producing areas of Fujian and Guangdong, Guangxi from 2014 to 2019. The results show that three key climatic factors affecting the quality of Indian jujube are the 90-day average temperature 90 days before harvest, daily temperature range and sunshine hours 30 days before harvest. The accuracy of this evaluation model is 86.3%. The evaluation model can objectively reflect the influence of climate conditions on the quality of Indian jujube. Based on the model analysis, the results show that the climate quality of Indian jujube in Fujian picked in the early and middle stages is better than those picked in the later stages, and the proportion of high-quality jujube in the whole production period can be improved by adjusting the production period. Based on the spatial distribution map of climate quality of Indian jujube in the main picking period obtained from Fujian by the model, the climate quality of Indian jujube in southern region is better than that in central and northern regions. Therefore, the proportion of high-quality Indian jujube in the whole region can be improved by increasing the planting area in the south and reducing the planting area in the north. The results have been applied in the evaluation of climate quality grade of Indian jujube in Fujian for three years.
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  • Fig. 1  Climate evaluating indicators of Indian jujube

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    Fig. 2  Climate quality index of Indian jujube

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    Fig. 3  Climate quality index of Indian jujube in 2017/2018

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    Fig. 4  Climate quality of Indian jujube in different picking period in Fujian

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    Table  1  Field observation sites for Indian jujube

    站点 观测年份 树龄/a 地理位置 海拔高度/m
    平和县山格镇 2014—2019 10 24.4°N，117.4°E 29.4
    南靖县船场镇 2014—2019 15 24.5°N，117.4°E 152.7
    长泰县陈巷镇 2014—2019 8 24.7°N，117.8°E 13.0
    漳浦县石榴镇 2014—2019 10 24.0°N，117.4°E 63.0
    丰顺果园 2014—2019 12 23.9°N，116.3°E 45.4
    潮州铁铺 2014—2019 10 23.8°N，116.6°E 10.9
    DownLoad: Download CSV

    Table  2  Quality factors of Indian jujube in Fujian and Guangdong

    统计量 单果重/g 可溶性固形物/% 可溶性糖/% 硬度/(kg/cm2) pH值
    平均值 88.89 11.36 10.83 10.99 4.75
    最大值 154.77 14.21 13.78 14.87 5.72
    最小值 47.76 8.42 7.89 8.18 4.22
    DownLoad: Download CSV

    Table  3  Quality grade of Indian jujube

    指标 特优(等级值为3) 优(等级值为2) 良(等级值为1) 一般(等级值为0)
    W/g W≥100 100＞W≥75 75＞W≥50 W＜50
    SS/% SS≥12.0 12.0＞SS≥10.5 10.5＞SS≥9.0 SS＜9.0
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    Table  4  Grade assignment of evaluating indicator of Indian jujube

    M 采收前90 d平均气温Tavg/℃ 采收前30 d平均日较差ΔT/℃ 采收前30 d平均日照时数S/h
    3 Tavg≥18.5 ΔT≥9.0 S≥5.0
    2 15.5≤Tavg＜18.5 6.5≤ΔT＜9.0 3.5≤S＜5.0
    1 13.0≤Tavg＜15.5 4.0≤ΔT＜6.5 2.0≤S＜3.5
    0 Tavg＜13.0 ΔT＜4.0 S＜2.0
    DownLoad: Download CSV

    Table  5  Grade and climate quality index

    评价等级 气候品质评价指数IQ 品质等级对应参考值
    单果重W/g 可溶性固形物含量SS/%
    特优 IQ≥2.5 W≥100 SS≥12.0
    优 1.5≤IQ＜2.5 75≤W < 100 10.5≤SS＜12.0
    良 0.5≤IQ＜1.5 50≤W＜75 9.0≤SS＜10.5
    一般 IQ＜0.5 W＜50 SS＜9.0
    DownLoad: Download CSV

    Table  6  Validation of climate quality evaluation model of Indian jujube from 2014 to 2019

    采果日期 地点 单果重/g 可溶性固形物含量/% 实际品质 IQ 气候品质 等级对比
    2016-12-12 漳浦 89.72 9.60 良+ 2.1 优 符合
    2016-12-28 漳浦 91.08 11.37 优 2.4 优 符合
    2017-01-19 漳浦 90.67 12.37 特优- 2.1 优 符合
    2017-11-13 漳浦 82.69 11.63 优 2.4 优 符合
    2017-12-14 漳浦 75.63 10.03 良+ 2.4 优 符合
    2018-01-23 漳浦 82.41 14.00 特优- 2.3 优 符合
    2018-02-06 漳浦 80.41 11.07 优 1.6 优 符合
    2017-01-19 平和 99.10 11.13 优 2.0 优 符合
    2016-12-12 南靖 62.37 7.97 一般+ 2.4 优 不符合
    2016-12-28 南靖 104.26 8.57 良+ 2.7 特优 不符合
    2017-01-19 南靖 86.94 12.27 特优- 2.4 优 符合
    2017-02-09 南靖 82.51 12.23 特优- 2.0 优 符合
    2017-02-27 南靖 73.79 13.23 优+ 2.3 优 符合
    2018-01-23 南靖 87.89 11.87 优 2.6 特优 不符合
    2018-02-06 南靖 90.31 10.47 良+ 2.0 优 符合
    2018-03-12 南靖 83.06 12.33 特优- 1.9 优 符合
    2019-02-13 南靖 80.11 10.80 优 1.7 优 符合
    2019-02-26 南靖 77.08 10.90 优 1.4 良 不符合
    2014-01-22 长泰 96.00 12.80 特优- 2.0 优 符合
    2015-01-26 长泰 110.00 11.80 优+ 2.0 优 符合
    2017-02-09 长泰 86.42 10.97 优 2.0 优 符合
    2017-02-27 长泰 87.54 14.13 特优- 2.3 优 符合
    2017-03-14 长泰 88.65 12.93 特优- 2.0 优 符合
    2018-02-06 长泰 101.96 11.87 优+ 2.0 优 符合
    2018-03-12 长泰 89.86 11.73 优 1.6 优 符合
    2019-02-13 长泰 78.42 11.50 优 1.7 优 符合
    2019-02-26 长泰 70.79 11.60 优- 1.4 良 符合
    2019-01-29 梅州 83.72 11.90 优 2.0 优 符合
    2019-02-16 梅州 86.31 12.90 特优- 2.3 优 符合
    2019-03-10 梅州 56.42 9.30 良 1.4 良 符合
    2019-01-26 埔寨 76.99 10.50 优 2.0 优 符合
    2019-01-20 南宁 89.35 9.50 良+ 1.7 良 符合
    2019-02-14 南宁 95.40 10.90 优 1.3 良 不符合
    2019-03-15 南宁 52.52 12.60 优+ 1.3 良 不符合
    2019-02-15 武鸣 49.81 12.50 优- 0.7 良 符合
    2019-03-16 武鸣 46.62 12.80 优- 0.7 良 符合
    DownLoad: Download CSV

    Table  7  Climate quality grade and key meteorological factors for Indian jujube harvested in early Jan 2018

    漳州地区 采收前90 d平均气温/℃ 采收前30 d平均日较差/℃ 采收前30 d平均日照时数/h IQ 评级
    东山 20.6 4.3 6.6 2.4 优
    华安 19.4 10.7 5.7 3.0 特优
    龙海 20.9 8.7 5.4 2.7 特优
    南靖 20.0 10.6 5.6 3.0 特优
    平和 19.6 10.3 5.7 3.0 特优
    芗城 21.1 8.8 4.7 2.4 优
    云霄 21.3 8.7 5.8 2.7 特优
    漳浦 20.0 9.2 5.8 3.0 特优
    长泰 20.7 9.1 6.1 3.0 特优
    DownLoad: Download CSV

    Table  8  Climate quality grade and key meteorological factors for Indian jujube harvested in early Jan 2019

    漳州地区 采收前90 d平均气温/℃ 采收前30 d平均日较差/℃ 采收前30 d平均日照时数/h IQ 评级
    东山 19.2 3.8 3.9 1.8 优
    华安 18.1 7.6 2.6 1.7 优
    龙海 19.6 6.0 2.5 2.1 优
    南靖 19.1 6.8 2.5 2.1 优
    平和 18.7 6.6 2.2 1.7 优
    芗城 19.8 6.0 2.5 2.1 优
    云霄 20.0 6.0 2.5 2.1 优
    漳浦 18.8 6.5 2.4 1.7 优
    长泰 19.3 6.2 2.4 2.1 优
    DownLoad: Download CSV
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    • Received : 2021-03-17
    • Accepted : 2021-05-31
    • Published : 2021-07-31
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