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| 基于模糊Borda组合模型的水氮调控枸杞品质效应评价 |
| Evaluation of the effect of water and nitrogen regulation on quality of wolfberry based on fuzzy Borda combination model |
| 投稿时间：2024-07-17 修订日期：2024-08-12 |
| DOI： |
| 中文关键词: 水氮调控 枸杞 品质综合评价 组合评价模型 |
| 英文关键词:water and nitrogen regulation wolfberry quality comprehensive evaluation combination evaluation model |
| 基金项目:国家自然科学(51969003,52069001,52269009)；甘肃省科技重点研发计划项目(22YF7NA110)；甘肃省教育厅产业支撑计划项目(2021CYZC-20)；兰州市科技计划项目(2022-2-60)；甘肃省高等学校创新(2023A-054)；甘肃农业大学“西北旱区特色作物水土资源高效利用创新”学科团队建设专项(GAU-XKTD-2022-09)；甘肃省水利科学试验研究与技术推广计划项目(24GSLK080) |
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| 中文摘要: |
| 对作物品质进行综合评价是衡量农田管理措施的重要环节,然而适宜的品质评价模型往往因作物而异。本研究以枸杞(Lycium barbarum L.)为对象,对比分析了水分调控[以土壤含水量占田间持水量θf的百分比控制土壤水分上下限,充分灌溉W0(75%~85% θf)、轻度水分亏缺W1(65%~75% θf)、中度水分亏缺W2(55%~65% θf)、重度水分亏缺W3(45%~55% θf)]和施氮水平[不施氮N0(0 kg?hm-2)、低施氮量N1(150 kg?hm-2)、中施氮量N2(300 kg?hm-2)、高施氮量N3(450 kg?hm-2)]对枸杞外观品质和营养品质的影响,并构建模型对枸杞品质进行综合评价。研究表明：(1)随施氮量增加,枸杞果径和果长均表现为N2>N1>N0>N3；随水分亏缺程度加剧,枸杞果径表现为W1>W0>W2>W3,枸杞果长表现为W0>W1>W2>W3；随施氮量增加和水分亏缺程度加剧,枸杞果形指数呈先降低后增加趋势。所有处理中,W1N2的总糖(52.63 g.100g-1)、多糖(5.74 g.100g-1)、脂肪(2.13 g.100g-1)、维生素C(48.07 mg.100g-1)和黄酮(58.64 mg.100g-1)含量均最高,分别较其余处理提高了3.32%~16.93%、7.49%~54.72%、6.50%~45.89%、2.29%~47.41%和4.14%~28.34%；W2N3的氨基酸含量最高(10.09%),较其余处理提高了11.12%~86.16%；W0N2的蛋白质含量最高(13.94 g.100g-1),较其余处理提高了7.15%~71.67%；W2N1的总酚含量最高(18.49 mg.g-1),较其余处理提高了8.54%~65.98%。(2)各处理枸杞品质的评价值因模型不同存在明显不一致。剔除主成分分析后,3种单一模型各自的评价结果与除该单一模型外其余2种模型评价结果的Kendall相关系数通过了Kendall-W协和系数事前检验,具有一定的相容性,可进行组合评价。(3)对均值法和模糊Borda评价法构建的组合评价模型进行事后检验发现,模糊Borda组合评价模型与各单一模型评价值的Spearman相关系数高于均值法。(4)对基于模糊Borda组合评价模型的枸杞品质评价值进行回归分析得出,水氮供应阈值分别为348.40~385.08 mm和270.46~298.92 kg.hm-2时,枸杞的综合品质较优。 |
| 英文摘要: |
| The comprehensive evaluation of crop quality is an important step to measure farmland management measures, but the appropriate quality evaluation model often varies from crop to crop. In this study, wolfberry was used as the object to compare and analyze the water control [the upper and lower limits of soil water were estimated as percentage of soil water content to field water capacity (θf), with the following irrigation regimen: adequate irrigation (W0, 75%~85% θf), mild water deficit (W1, 65%~75% θf), moderate water deficit (W2, 55%~65% θf), and severe water deficit (W3, 45%~55% θf)] and nitrogen levels [no nitrogen (N0, 0 kg.hm-2), low nitrogen (N1, 150 kg.hm-2), moderate nitrogen (N2, 300 kg.hm-2), and high nitrogen (N3, 450 kg.hm-2)] on the appearance quality and nutritional quality of wolfberry were investigated and a model was constructed to evaluate the quality of wolfberry. The results showed that: (1) With the increase of nitrogen application, the fruit diameter and fruit length were N2>N1>N0>N3; With the increase of water deficit, fruit diameter and fruit length were W1>W0>W2>W3 and W0>W1>W2>W3. With the increase of nitrogen application and water deficit, the fruit shape index of wolfberry decreased first and then increased. In all treatments, the contents of total sugar (52.63 g.100g-1), polysaccharide (5.74 g.100g-1), fat (2.13 g.100g-1), vitamin C (48.07 mg.100g-1) and flavonoids (58.64 mg.100g-1) in W1N2 were the highest. Separately from the rest of the treatment increased by 3.32%~16.93% and 7.49%~54.72%, 6.50%~45.89% and 2.29%~47.41% and 4.14%~28.34%; The amino acid content of W2N3 was the highest (10.09%), which was 11.12%-86.16% higher than that of other treatments. The protein content of W0N2 was the highest (13.94 g.100g-1), which was increased by 7.15%-71.67% compared with other treatments. The total phenol content of W2N1 was the highest (18.49 mg.g-1), which was 8.54%-65.98% higher than that of other treatments. (2) The value ranking of the quality of each treatment of Wolfberry was significantly inconsistent due to different models. After removing the principal component analysis, the Kendall correlation coefficient between the evaluation results of each of the three single models and the evaluation results of the other two models except the single model passed the Kendall-W concordant coefficient test in advance, which has certain compatibility and can be combined evaluation. (3) Post-test of the combined evaluation model constructed by the mean value method and the fuzzy Borda evaluation method found that the Spearman correlation coefficient between the fuzzy Borda combination evaluation model and each single model was higher than the mean value method. (4) The regression analysis of the quality evaluation value of Wolfberry based on the fuzzy Borda combination evaluation model showed that the comprehensive quality of Wolfberry was better when the water and nitrogen supply thresholds were 348.40~385.08 mm and 270.46~298.92 kg.hm-2, respectively. |
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