中国农业科学 ›› 2023, Vol. 56 ›› Issue (19): 3799-3813.doi: 10.3864/j.issn.0578-1752.2023.19.008

• 植物保护 • 上一篇    下一篇

橘小实蝇产卵抗/感非挥发性决策性状筛选及评价

宫庆涛1(), 李淼1, 高晓兰1, 张坤鹏1, 李桂祥1, 董晓民1, 李素红2, 张安宁1()   

  1. 1 山东省果树研究所,山东泰安 271018
    2 山东农业大学园艺科学与工程学院,山东泰安 271018
  • 收稿日期:2023-03-10 接受日期:2023-05-07 出版日期:2023-10-01 发布日期:2023-10-08
  • 通信作者:
    张安宁,E-mail:
  • 联系方式: 宫庆涛,E-mail:gongzheng.1984@163.com。
  • 基金资助:
    山东省重大科技创新工程(2019JZZY010711); 国家现代农业产业技术体系建设专项(CARS-30-Z-08); 山东省自然科学基金(ZR2015YL058); 农业农村部农药检定所药效试验项目((横向课题,2020)

Screening and Evaluation of Non-Volatile Decision-Making Traits of Oviposition Resistance and Susceptibility of Bactrocera dorsalis

GONG QingTao1(), LI Miao1, GAO XiaoLan1, ZHANG KunPeng1, LI GuiXiang1, DONG XiaoMin1, LI SuHong2, ZHANG AnNing1()   

  1. 1 Shandong Institute of Pomology, Taian 271018, Shandong
    2 College of Horticulture Science and Engineering, Shandong Agricultural University, Taian 271018, Shandong
  • Received:2023-03-10 Accepted:2023-05-07 Published:2023-10-01 Online:2023-10-08

摘要:

【目的】分析桃果非挥发性性状与橘小实蝇(Bactrocera dorsalis)产卵的关系,确定受害风险最佳标志指标及抗/感范围,明确主要指标的类别相关性特征。【方法】以涵盖不同物理、绒毛、矿质元素和生理特征的13种代表性桃果品种为试材,测定4类60个非挥发性决策性状,室内开展橘小实蝇产卵试验,将不同性状与果实内平均幼虫数进行相关性、聚类分析,明确受害风险最佳标志指标及抗/感范围,评价其他主要指标抗/感表现。【结果】4种类型非挥发性决策性状与平均幼虫数相关系数绝对值平均数由大到小依次为生理指标(0.21,18种)>果实物理(0.19,18种)>绒毛指标(0.18,7种)=矿质元素(0.18,17种)。简单相关分析可知,达到低度相关水平以上的指标共17个,相关系数绝对值由大到小依次为镁(-0.57)>硬度(-0.53)>钙(-0.52)>硒(-0.48)>绒毛长短数比(-0.45)>长绒毛密度(-0.44)>背阴面-L*(0.43)>游离氨基酸(-0.41)>横径(0.38)>淀粉(0.37)>盐(-0.35)>单果重(0.33)=pH(0.33)>单宁(-0.32)=花青素(-0.32)=果实含水量(0.32)=综合-L*(0.32)。背阴面-L和镁含量分别表现正、负相关最大值,氮和蛋白质相关系数为0。镁、硬度和钙3个指标达到显著相关水平,说明中量元素和硬度对橘小实蝇产卵抗/感影响最大。综合分析认为:镁为桃果实受害风险大小的最佳标志指标。根据镁含量绝对值和果实受害情况,采用聚类分析法将≥1.50 g·kg-1者判定为低风险受害品种,即为高抗品种;≤0.92 g·kg-1者判定为高风险受害品种,即为易感品种;而其中间者为中性品种。【结论】桃果非挥发性性状影响橘小实蝇产卵选择性。中量元素(镁、钙)和硬度3个指标显著影响该虫产卵选择,且均呈现负相关。选定镁为桃果实受害风险大小的最佳标志指标。硒等14种低度相关决策性状对产卵选择影响存在差异性,正负各7种,正相关者除淀粉和pH外均为物理指标,负相关者为矿质元素(1种)、绒毛(2种)和生理(4种)指标。结合果实受害情况,初步将≥1.50 g·kg-1者划归为高抗品种;≤0.92 g·kg-1者为易感品种;而其中间者为中性品种。

关键词: 橘小实蝇, 产卵, 非挥发性, 抗/感性状, 决策性状

Abstract:

【Objective】The objective of this study is to analyze the relationship between the non-volatile traits of peach fruit and the oviposition of Bactrocera dorsalis, determine the best indicator of the risk of injury and the range of resistance and susceptibility, and to clarify the classification correlation characteristics of the main indicators.【Method】Using 13 representative peach varieties with different physical, villus, mineral elements and physiological characteristics as test materials, 60 non-volatile decision-making traits of 4 types were determined, and the selection test of the oviposition of B. dorsalis was carried out in the laboratory. The correlation and cluster analysis of the different traits and the average larval number in the fruit were carried out to determine the best indicator of the risk of injury and the range of resistance and susceptibility, and the performance of other main indicators was evaluated.【Result】The average absolute value of the correlation coefficient between the 4 types of non-volatile decision-making traits and the average number of larvae was in the order of physiological indicators (0.21, 18 species)>fruit physics (0.19, 18 species)>villus indicators (0.18, 7 species)=mineral elements (0.18, 17 species). Simple correlation analysis showed that there were 17 indicators above the low correlation level. The absolute values of the correlation coefficient from large to small were magnesium (-0.57)>hardness (-0.53)>calcium (-0.52)>selenium (-0.48)>long/short of villus (-0.45)>density of long villus (-0.44)>shady facets-L* (0.43)>free amino acid (-0.41)>transverse diameter (0.38)>amylum (0.37)>salt (-0.35)>single fruit weight (0.33) = pH (0.33)>tannin (-0.32) = anthocyanin (-0.32) = fruit water content (0.32) = Synthesis-L* (0.32). Shady facets-L and magnesium content showed the maximum positive and negative correlation, respectively, the correlation coefficient of nitrogen and protein was 0. The three indicators of magnesium, hardness and calcium reached a significant correlation level, indicating that the medium elements and hardness had the greatest impact on the oviposition resistance of B. dorsalis. The comprehensive analysis showed that magnesium was the best indicator of peach fruit damage risk. According to the absolute value of magnesium content and the degree of fruit damage, cluster analysis method was used to determine those ≥1.50 g·kg-1 as low-risk damaged varieties, that was the high-resistance variety, ≤0.92 g·kg-1 was judged as high-risk victimized varieties, that was the susceptible variety, and the middle were neutral varieties.【Conclusion】The non-volatile trait of peach fruit affects the oviposition selectivity of B. dorsalis. Medium elements (magnesium, calcium) and hardness significantly affect the oviposition selection of B. dorsalis, and all show negative correlation. Magnesium was selected as the best indicator of peach fruit damage risk. There are differences in the effects of 14 low degree related decision-making traits such as selenium on oviposition preference, with 7 positive and 7 negative. The positive correlated traits are all physical indicators except for amylum and pH, while the negative correlated traits are mineral element (1), villus (2), and physiological (4) indicators. Based on the situation of fruit damage, individuals≥1.50 g·kg-1 were preliminarily classified as high resistance varieties; ≤0.92 g·kg-1 were susceptible varieties, while the middle were neutral varieties.

Key words: Bactrocera dorsalis, oviposition, non-volatile, resistant and susceptible trait, decision-making trait