Li Yashan, Li Qi, Yan Yinfang, Liu Weiqiang, Xu Chengdong, Wang Yanjun, Nan Lijun, Liu Xu
College of Enology, Northwest A&F University, Xianyang, China.
School of Resources, Environment and Chemistry, Chuxiong Normal University, Chuxiong, China.
Front Plant Sci. 2024 Jul 25;15:1418197. doi: 10.3389/fpls.2024.1418197. eCollection 2024.
Soil is the basis of the existence of fruit tree and soil nutrients plays a crucial role in plant growth and berry quality. To investigate the characteristics and interrelationships between soil nutrients and berry quality in Cabernet Gernischet vineyards, this study focused on seven representative vineyards in the eastern foothills of the Helan Mountains. Fifteen soil physicochemical factors and 10 berry quality factors were measured, followed by variation analysis, correlation analysis, multiple linear regression (MLR), partial-least squares regression (PLSR), principal component analysis (PCA), and systematic cluster analysis. We identified the main soil nutrient indicators influencing berry quality and developed linear regression equations. Utilizing PCA, a comprehensive evaluation model for berry quality was constructed, which enabled the calculation and ranking of integrated berry quality scores. The results indicated that soil nutrients in the vineyards of the eastern foothills of the Helan Mountains are relatively deficient and alkaline. The coefficient of variation for soil nutrient factors ranged from 3.19 to 118.08% and for berry quality factors 2.41-26.37%. Correlation analysis revealed varying degrees of correlation between soil nutrient indicators and fruit quality indicators. PCA extracted four principal components with a cumulative contribution rate of 91.506%. Based on the scores of these components and their corresponding weights, a comprehensive model for evaluating the quality of Cabernet Gernischet berries was established. The vineyards were ranked from the highest to the lowest combined scores as Zhenbeibu (ZBB), Yuquanying (YQY), Dawukou (DWK), Beihaizi (BHZ), Shuxin (SX), Huangyangtan (HYT), and Hongde (HD). These findings provide insights into soil nutrient management and comprehensive quality assessment of vineyards in the eastern foothills of the Helan Mountains. In conclusion, this study offers a theoretical foundation for vineyard managers to enhance grape berries quality through soil nutrient management. This will aid in the diagnosis of vineyard soil nutrition and the efficient use of fertilizers, with critical practical and theoretical implications for the meticulous management of vineyards and the production of high-quality wines.
土壤是果树生存的基础,土壤养分对植物生长和浆果品质起着至关重要的作用。为了研究蛇龙珠葡萄园土壤养分与浆果品质的特征及相互关系,本研究聚焦于贺兰山东麓7个具有代表性的葡萄园。测定了15个土壤理化因子和10个浆果品质因子,随后进行了变异分析、相关性分析、多元线性回归(MLR)、偏最小二乘回归(PLSR)、主成分分析(PCA)和系统聚类分析。我们确定了影响浆果品质的主要土壤养分指标,并建立了线性回归方程。利用主成分分析构建了浆果品质综合评价模型,该模型能够计算并排序综合浆果品质得分。结果表明,贺兰山东麓葡萄园土壤养分相对匮乏且呈碱性。土壤养分因子变异系数在3.19%至118.08%之间,浆果品质因子变异系数在2.41%至26.37%之间。相关性分析表明土壤养分指标与果实品质指标之间存在不同程度的相关性。主成分分析提取了4个主成分,累积贡献率为91.506%。基于这些成分的得分及其相应权重,建立了蛇龙珠浆果品质评价综合模型。葡萄园综合得分从高到低依次为镇北堡(ZBB)、玉泉营(YQY)、大武口(DWK)、北沙窝(BHZ)、舒心(SX)、黄羊滩(HYT)和洪德(HD)。这些研究结果为贺兰山东麓葡萄园土壤养分管理和综合品质评价提供了参考。总之,本研究为葡萄园管理者通过土壤养分管理提高葡萄浆果品质提供了理论基础。这将有助于葡萄园土壤营养诊断和肥料的高效利用,对葡萄园精细化管理和优质葡萄酒生产具有重要的实践和理论意义。