机构地区:[1]贵州省农业科学院果树科学研究所,贵州贵阳550006 [2]威宁县现代高效农业产业示范园区管理委员会,贵州毕节553100 [3]威宁县特色经果林产业发展中心,贵州毕节553100
出 处:《南方农业学报》2022年第11期3157-3164,共8页Journal of Southern Agriculture
基 金:贵州省科技支撑计划项目(黔科合支撑[2020]1Y025);贵州省精品水果产业技术体系建设项目(GZCYTX2021-02)。
摘 要:【目的】建立苹果品质综合评价模型,筛选品质优良的品种(系),为贵州省威宁县苹果品种结构优化调整提供参考依据。【方法】测定引进贵州省威宁县种植的10个苹果品种(系)(编号Z1~Z10)果实的单果重(T1)、果形指数(T2)、去皮硬度(T3)、可溶性固形物(T4)、可滴定酸(T5)、固酸比(T6)和果实色泽[L^(*)(T7)、a^(*)(T8)、b^(*)(T9)]9项指标,利用灰色关联度分析联合DTOPSIS法对其进行综合评价,建立苹果品质综合评价模型。【结果】10个苹果品种(系)中,单果重、去皮硬度和固酸比指标最小均为Z9(16-112),但其可滴定酸含量最高,为0.60%;单果重、果形指数、去皮硬度、可溶性固形物含量、固酸比和L^(*)值最大分别为Z3(2-14)、Z1(东71-31)、Z5(秦脆)、Z8(8-31)、Z5(秦脆)和Z9(16-112)。9项果实品质指标的权重值排序为可溶性固形物>去皮硬度>固酸比>果形指数>单果重=a^(*)>可滴定酸>L^(*)=b^(*)。灰色关联度分析结果显示,灰色评判值(Gi)排序为:Z5(秦脆)>Z2(南39-66)>Z1(东71-31)>Z4(147)>Z7(39-134)>Z8(8-31)>Z10(92)>Z3(2-14)>Z6(秦蜜)>Z9(16-112)。DTOPSIS法分析结果显示,与理想品种接近度(Ci)排序为:Z5>Z2>Z1>Z10>Z3>Z7>Z4>Z6>Z8>Z9。2种评价方法排名趋势线吻合度较高,在分析过程中均涵盖9项果实品质指标信息,具有可靠的统计学基础,其中Ci值差异大于Gi值差异;通过2种方法的比较建立苹果品质评价预测模型:Y=0.09T1+0.11T2+0.17T3+0.19T4+0.08T5+0.15T6+0.06T7+0.09T8+0.06T9。【结论】DTOPSIS法对苹果品质的综合评价效果较好,通过权重系数建立的评价模型可用于苹果品质的综合评价,灰色关联度分析联合DTOPSIS法评价结果排序前三均为秦脆、南39-66和东71-31,可作为优化项目区苹果品种结构的重点品种(系)。【Objective】In order to establish the comprehensive evaluation model of apple quality and screen out the varieties(lines)with good quality,and provide theoretical basis for the optimization and adjustment of apple variety structure in Weining,Guizhou.【Method】Nine indexes including fruit weight(T1),fruit shape index(T2),peeling hardness(T3),soluble solids(T4),titratable acid(T5),the ratio of solid and acid(T6)as well as fruit color including L^(*)(T7),a^(*)(T8)and b^(*)(T9)of 10 apple varieties(lines)(numbers were Z1-Z10)introduced to Weining,Guizhou were determined.Grey relational degree analysis and DTOPSIS method were used to evaluate apple qualitycomprehensively,and a comprehensive evaluation model was established.【Result】Among the 10 apple varieties(lines),Z9(16-112)had the lowest indexes of fruit weight,peeling hardness and solid acid ratio,while it had the highest value of the titratable acid content which was 0.60%. Z3(2-14),Z1(East 71-31),Z5(Qincui),Z8(8-31),Z5(Qincui)and Z9(16-112)had the highest fruit weight,fruit shape index,flesh hardness,soluble solid content,solid acid ratio and L^(*) value,respectively. The weight values of nine fruit quality indexes were as follows:soluble solid>peeling hardness>solid acid ratio>fruit shape index>fruit weight=a^(*)> titratable acid >L^(*)=b^(*). The results of grey relational analysis showed that the Givalues were Z5(Qincui)>Z2(South 39-66)>Z1(East 71-31)>Z4(147)>Z7(39-134)>Z8(8-31)>Z10(92)>Z3(2-14)>Z6(Qinmi)>Z9(16-112). The proximity to ideal variety(Ci)values of DTOPSIS analysis were Z5>Z2>Z1>Z10>Z3>Z7>Z4>Z6>Z8>Z9. The ranking trend lines of the two evaluation methods were highly consistent. The two evaluation methods both covered most of the information of fruit quality indicators in the analysis process,which had a reliable statistical basis. The difference of Civalue was greater than that of Givalue. Apple quality evaluation model Y=0.09T1+0.11T2+0.17T3+0.19T4+0.08T5+0.15T6+0.06T7+0.09T8+0.06T9 was established combinedgrey relational degree analysi
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