Evaluation Model of Yellow Peach Climatic Quality Rating in Hilly Mountainous Areas

Wang Tianying; Li Minhua; Wu Zhongchi; Huang Anfeng; Yang Changshun; Yang Pinling; Wang Tianke

doi:10.11898/1001-7313.20240406

Vol.35, NO.4, 2024

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Article Navigation > Journal of Applied Meteorological Science > 2024 > 35(4): 456-466

Wang Tianying, Li Minhua, Wu Zhongchi, et al. Evaluation model of yellow peach climatic quality rating in hilly mountainous areas. J Appl Meteor Sci, 2024, 35(4): 456-466. DOI: 10.11898/1001-7313.20240406.

Citation:

Wang Tianying, Li Minhua, Wu Zhongchi, et al. Evaluation model of yellow peach climatic quality rating in hilly mountainous areas. J Appl Meteor Sci, 2024, 35(4): 456-466. DOI: 10.11898/1001-7313.20240406.

Citation:

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Evaluation Model of Yellow Peach Climatic Quality Rating in Hilly Mountainous Areas

DOI: 10.11898/1001-7313.20240406

Wang Tianying^{1, 2},
Li Minhua^{3, 4
,
,},
Wu Zhongchi^{3, 4},
Huang Anfeng^{3, 4},
Yang Changshun⁵,
Yang Pinling^{3, 4},
Wang Tianke⁶

1.
Hunan Institute of Meteorological Sciences, Changsha 410118
2.
Hunan Key Laboratory of Meteorological Disaster Prevention and Reduction, Changsha 410118
3.
Huaihua Meteorological Bureau of Hunan, Huaihua 418000
4.
Key Laboratory of Fruit Climate Quality Identification of Huaihua, Hunan, Huaihua 418000
5.
Yanling County Meteorological Bureau of Zhuzhou, Hunan, Zhuzhou 412500
6.
Yueyang County Meteorological Bureau of Yueyang, Hunan, Yueyang 414100

Received Date: 2024-03-22
Rev Recd Date: 2024-06-03
Publish Date: 2024-07-31

Abstract

Abstract

The study of evaluation indexes for yellow peach climate quality and its meteorological factor model can provide technical support to ensure high-quality production and facilitate rural revitalization. Taking "Jinxiu" variety of yellow peach as the research object, based on the yellow peach quality observations from 221-1300 m altitude and temperature and rainfall data from 13 meteorological stations near orchards at the middle section of Luoxiao Mountains and the west side of Xuefeng Mountain during 2019-2023, a climatic quality evaluation index for yellow peach and meteorological factorial regression model for its quality elements are constructed by using the methods of weighted summation, Pearson's correlation, regression analysis and multiple covariance analysis, and examined with independent samples. Effects of different altitudes and harvest dates on the climatic quality ratings of yellow peaches are further investigated based on the constructed model. Results show that the main meteorological influencing factors for yellow peach soluble solids content (S_S) is the average air temperature 80 d before harvest, for titratable acid content (A_T) is the total rainfall 40 d before harvest, and for fruit shape index (I_S) are the average air temperature from 1 May to 10 June, total rainfall from 1 May to 10 June, the average air temperature 10 d before harvest and total rainfall 10 d before harvest. Mean absolute error between the simulated and measured values of S_S, A_T, and I_S of validation samples is 0.397%, 0.093%, and 0.010, respectively, and the root mean square error is 0.072%, 0.014%, and 0.001, respectively, and r is 0.649 (p=0.05), 0.718 (p=0.01), and 0.957 (p=0.01), respectively. The simulated quality ratings for 75% of validation samples match the actual climatic quality ratings, while 25% differs by 1 level. Simulation based on the constructed model reveals that the total frequency of superior and excellent quality in the study area shows an increasing and then decreasing trend with both the elevation and the harvesting period, among which the best quality is found in the mid-high elevation areas of 600-820 m or the harvest from 31 July to 10 August. Fruits harvested in high elevation areas above 1300 m or harvested from 21 August to 31 August appear to have a high frequency of lower quality.
- hilly mountainous area;
- yellow peach quality;
- meteorological influential factors;
- quantitative simulation;
- spatio-temporal variation characteristics

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References(50)

Figures and Tables

图 1 黄桃S_S与采收前80 d平均气温的关系

(实心圆为训练样本，空心圆为验证样本，下同)

Fig. 1 Relationship between soluble solids of yellow peach and average air temperature 80 d before harvesting

(the solid circle denotes training sample, the hollow circle denotes testing sample, similarly hereinafter)

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Fig. 2 Relationship of each yellow peach quality element between observation and simulation

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Fig. 3 Yellow peach climatic quality ratings varying with altitude

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Fig. 4 Yellow peach climatic quality ratings varying with harvest date

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Table 1 Basic information on yellow peach quality observation sites at the middle section of Luoxiao Mountains in 2019-2020 and 2022

样本点编号	所处乡镇	海拔高度/m	地理位置	样本点编号	所处乡镇	海拔高度/m	地理位置
L01	炎陵县霞阳镇	221	26.5°N、113.8°E	L14	炎陵县瓜寮村	900	26.6°N、114.0°E
L02	炎陵县霞阳镇	237	26.5°N、113.8°E	L15	炎陵县中村乡	900	26.1°N、113.7°E
L03	炎陵县霞阳镇	241	26.5°N、113.8°E	L16	炎陵县垄溪乡	960	26.4°N、113.9°E
L04	炎陵县沔渡镇	310	26.6°N、113.9°E	L17	炎陵县中村乡	980	26.1°N、113.7°E
L05	炎陵县霞阳镇	390	26.6°N、113.8°E	L18	炎陵县中村乡	1000	26.2°N、113.8°E
L06	炎陵县霞阳镇	433	26.5°N、113.8°E	L19	炎陵县下村乡	1053	26.2°N、113.9°E
L07	炎陵县沔渡镇	500	26.5°N、113.9°E	L20	炎陵县仙坪村	1100	26.4°N、113.9°E
L08	炎陵县中村乡	510	26.2°N、113.8°E	L21	炎陵县中村乡	1100	26.1°N、113.7°E
L09	炎陵县中村乡	638	26.2°N、113.8°E	L22	炎陵县鑫山村	1100	26.2°N、113.9°E
L10	炎陵县垄溪乡	640	26.4°N、113.8°E	L23	炎陵县垄溪乡	1150	26.4°N、113.9°E
L11	炎陵县垄溪乡	678	26.4°N、113.9°E	L24	炎陵县鹫峰村	1200	26.2°N、113.9°E
L12	炎陵县垄溪乡	780	26.4°N、113.9°E	L25	炎陵县鑫山村	1300	26.1°N、113.9°E
L13	炎陵县沔渡镇	860	26.5°N、113.9°E	L26	炎陵县酃峰村	1300	26.3°N、114.0°E

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Table 2 Basic information of yellow peach quality observation sites in western side of Xuefeng Mountain in 2019-2023

样本点编号	所处乡镇	海拔高度/m	地理位置	样本点编号	所处乡镇	海拔高度/m	地理位置
X01	洪江市安江镇	230	27.3°N、110.1°E	X08	中方县中方镇	450	27.4°N、110.0°E
X02	中方县柌木镇	250	27.3°N、109.9°E	X09	中方县柌木镇	450	27.4°N、109.8°E
X03	洪江市黔城镇	250	27.2°N、109.8°E	X10	中方县铁坡镇	500	27.5°N、110.4°E
X04	中方县新建镇	320	27.5°N、110.2°E	X11	中方县花桥镇	580	27.7°N、110.2°E
X05	中方县花桥镇	320	27.7°N、110.2°E	X12	洪江市安江镇	650	27.4°N、110.1°E
X06	中方县花桥镇	400	27.6°N、110.3°E	X13	中方县泸阳镇	740	27.6°N、110.2°E
X07	洪江市安江镇	400	27.3°N、110.1°E	X14	鹤城区黄岩乡	820	27.4°N、110.1°E

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Table 3 Main quality indices of yellow peach at the middle section of Luoxiao Mountains and west side of Xuefeng Mountain in 2019-2023

统计量	S_S/%	A_T/%	I_S	W/g
最大值	16.60	1.05	1.18	335.0
最小值	10.40	0.29	0.91	150.0
平均值	13.79	0.62	1.03	235.6

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Table 4 Ranking of each climatic quality element of yellow peach

指标	特优(等级值为4)	优(等级值为3)	良(等级值为2)	一般(等级值为1)
S_S/%	S_S≥14%	13%≤S_S＜14%	12%≤S_S＜13%	S_S＜12%
A_T/%		A_T＜0.50%	0.50%≤A_T＜0.85%	A_T≥0.85%
I_S		I_S＜1.05	1.05≤I_S＜1.10	I_S≥1.10

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Table 5 Meteorological factor regression model for each yellow peach quality element

因变量	回归模型	决定系数
S_S	S_S=-0.3151T_a80²+14.9760T_a80-163.2390	0.621^*
A_T	A_T=0.0009R₄₀+0.3428	0.569^*
I_S	I_S=-0.0002R₅₁₆₁+0.0087T_a5161-0.0004R₁₀+0.0103T_a10+0.6663	0.665^*
注：*表示决定系数达到0.01显著性水平。

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Table 6 Covariance analysis of meteorological factors for yellow peach fruit shape index model

指标	R₅₁₆₁	T_a5161	R₁₀	T_a10
容忍值	0.66	0.69	0.56	0.78
方差膨胀因子	1.53	1.46	1.80	1.28

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Table 7 Each quality characteristics of yellow peach between testing sample and simulation

品质要素	实测平均值	模拟平均值	平均绝对偏差	均方根误差	相关系数
S_S/%	13.904	13.943	0.397	0.072	0.649^*
A_T/%	0.687	0.621	0.093	0.014	0.718^**
I_S	1.010	1.016	0.010	0.001	0.957^**
注：和 *分别表示相关系数达到0.05和0.01显著性水平。

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Table 8 Validation of the evaluation model for yellow peach climatic quality rating

采收日期	观测地段	样本点编号	S_S/%	A_T/%	I_S	实际品质等级	模拟I_Q	模拟品质等级	符合程度
2020-07-29	罗霄山脉中段	L07	13.61	0.77	1.13	优	2.40	优	符合
2020-08-03	罗霄山脉中段	L11	14.13	0.75	1.03	特优	3.05	特优	符合
2020-08-12	罗霄山脉中段	L18	13.90	0.65	1.00	优	3.05	特优	相差1级
2020-08-03	雪峰山西侧	X02	13.19	0.96	0.96	优	2.25	优	符合
2020-08-06	雪峰山西侧	X07	14.12	0.79	1.01	特优	2.55	优	相差1级
2020-08-09	雪峰山西侧	X08	13.46	0.70	1.00	优	2.55	优	符合
2020-08-13	雪峰山西侧	X11	13.87	0.62	1.09	优	2.40	优	符合
2020-08-08	雪峰山西侧	X12	14.88	0.81	1.01	特优	3.05	特优	符合

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