Comprehensive study of selection-value lines of zucchini on the level of damage by the yellow mosaic virus (ZYMV) and manifestation of other diseases

  • Serhii Kondratenko Institute of Vegetable and Melon Growing of the National Academy of Agrarian Sciences of Ukraine
  • Oksana Sergienko Institute of Vegetable and Melon Growing of the National Academy of Agrarian Sciences of Ukraine
  • Yuliya Lancaster Tozer Seeds Ltd.
Keywords: zucchini yellow mosaic virus (ZYMV), zucchini line, correlation analysis, field and laboratory resistance

Abstract

The work is aimed at the selection of linear samples of zucchini (Cucurbita pepo L. var. Giromontia Duch.) with increased complex resistance to abiotic factors of cultivation – zucchini yellow mosaic virus (ZYMV), powdery mildew, bacteriosis and other viral pathogens. Selection studies on choosing virus-resistant zucchini lines from the United Kingdom, Italy, the United States and Spain have identified a number of important correlations levels of resistance to ZYMV and to harmful microorganisms and viruses, belonging to other genera. The assessment of the resistance of the selected zucchini lines to the complex of studied diseases was performed on a 9-point scale of the classifier of the Council for Mutual Economic Assistance (CMEA). In total, during 2017–2019, 20 lines of zucchini were studied in the field. According to the complex resistance to all pathogens (zucchini yellow mosaic virus, green speckled mosaic, white mosaic and cucumber mosaic, bacteriosis and fusarium wilt), four lines have been identified – LZ 17-11, RVL-19, LZ 17-45 and LZ 17-49, which were resistant at the level of points 7 and 9 on the scale of CMEA. The possibility of selecting potentially resistant linear zucchini genotypes for ZYMV based on correlations with the manifestation of other diseases that occurred in the field has been confirmed. The highest level of correlation 0.59<rp<1.0) is observed when comparing the degree of powdery mildew development and symptoms of ZYMV (17 statistically confirmed values of the pairwise correlation coefficient or 80.95 %). A similar indicator for the pair “bacteriosis/ZYMV” is 14 statistically confirmed values of the pairwise correlation coefficient or 66.67 % (–1.0<rp<0.99), and for the pair “field viruses of other origin/ZYMV” – 11 values, which is 52.38 % (–1.0<rp<0.93). Zucchini samples were identified, in which statistically significant correlations were observed for all pairs of comparative traits. Among them, the variety-standard Chaklun and 4 more lines – LZ 17-1, LZ 17-8, LZ 17-50 and LZ 17-44 (–1.0<rp<0.92). The analysis of correlations shows a complex genetic organization of signs of resistance in zucchini lines to the studied pathogens and a high dependence of the manifestation of these signs on the response of the genotype of the line. One of the proofs of this experimental fact is that in all comparative pairs of indicators of the degree of development of certain diseases there are linear genotypes with both positive and negative values of Pearson correlation coefficients (rp). The high level of statistically significant correlations revealed gives grounds for wide use of correlation analysis in selection work for choosing lines potentially resistant to the complex of the most common diseases in vegetable agrocenoses

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Author Biographies

Serhii Kondratenko, Institute of Vegetable and Melon Growing of the National Academy of Agrarian Sciences of Ukraine

Department of Breeding and Seed Production of Vegetable and Melon Crops

Oksana Sergienko, Institute of Vegetable and Melon Growing of the National Academy of Agrarian Sciences of Ukraine

Scientific Secretary

Yuliya Lancaster, Tozer Seeds Ltd.

Plant Breeder

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Published
2021-12-03
How to Cite
Kondratenko, S., Sergienko, O., & Lancaster, Y. (2021). Comprehensive study of selection-value lines of zucchini on the level of damage by the yellow mosaic virus (ZYMV) and manifestation of other diseases. EUREKA: Life Sciences, (6), 8-16. https://doi.org/10.21303/2504-5695.2021.002186
Section
Agricultural and Biological Sciences