摘要
Abstract
To screen out excellent tomato varieties suitable for cultivation in digital greenhouses,13 tomato varieties were used as test materials.Their phenological period,growth characteristics,fruit quality,yield and disease resistance were systematically determined and analyzed,and a comprehensive evaluation was carried out by combining correlation analysis,cluster analysis and analytic hierarchy process(AHP).The results showed that there were significant differences in various phenotypic traits among the tested varieties,plant height was significantly positively correlated with stem diameter(r=0.623),single fruit weight was extremely significantly negatively correlated with sugar content(r=-0.892),and full growth period was significantly positively correlated with total disease incidence(r=0.512).Cluster analysis divided the 13 varieties into three groups:small-to-medium fruit with high sugar content and early maturity,medium-to-large fruit with low sugar content and late maturity,and large fruit with low sugar content and late maturity.According to the comprehensive evaluation via analytic hierarchy process,'Ouxiu Hongying No.1''Zixiaoke'and'Ouxiu Huangying'exhibited outstanding overall performance,featuring high fruit sugar content,short growth period and strong disease resistance.They were suitable for cultivation in digital greenhouses and targeted at the high-end fresh fruit market.By contrast,large-fruit varieties with low sugar content such as' Bofen No.5'were ideal for processing and large-scale production.This study clarified the law of trait differentiation of different tomato varieties,and provided data support and decision-making reference for the breeding,popularization and efficient cultivation of tomato varieties in digital greenhouses.关键词
番茄/数字化日光温室/品种筛选/表型/果实品质/抗病性/层次分析/聚类分析Key words
Solanum lycopersicum/digital greenhouse/variety screening/phenotype/fruit quality/disease resistance/analytic hierarchy process(AHP)/cluster analysis分类
农业科技
