Abstract

Analytic hierarchy process (AHP) was used to distribute the weight of 10 evaluation indexes of flue-cured tobacco varieties of regional trials in Sichuan province in 2016 for dynamic technique for order preference by similarity to ideal solution (DTOPSIS), membership function was used for optimizing dimensionless treatment of chemical evaluation indexes of DTOPSIS, and then DTOPSIS was used for comprehensive evaluation of varieties. The weight of yield, proportion of superior tobacco, output value, leaf number, stem circumference, plant height, nicotine content, total sugar content, potassium content and black shank disease index was 0.090 2, 0.235 1, 0.301 4, 0.035 1, 0.021 7, 0.021 7, 0.057 1, 0.035 1, 0.035 1 and 0.167 6, respectively. The comprehensive evaluation order of new varieties in planting areas in Southwest Sichuan was ‘Yunyan87’>‘SCT01’>‘Hongda’>‘K326’>‘09011’>‘X4’>‘X3’, the order in South Sichuan was ‘K326’>‘Yunyan87’>‘09011’>‘SCT01’>‘X3’>‘X4’, and the order in North Sichuan was ‘09011’>‘Yunyan87’>‘X4’>‘SCT01’>‘X3’. The results of this study show that further experiments and demonstrations of ‘SCT01’ could be conducted in plant areas in Southwest Sichuan, '09011' has the potential to be used as a good variety in plant areas in North Sichuan, and the corresponding cultivation measures of ‘X3’ and ‘X4’ should be improved. This research would provide scientific basis for the screening, identification and promotion of new flue-cured tobacco varieties, and enrich the evaluation system of new flue-cured tobacco varieties.

Highlights

  • Under different environmental conditions, the expression patterns of specific genes in the same plant are different (Ren et al, 2019; Yuan et al, 2019), which is one of the main reasons for the obvious differences in traits

  • Analytic hierarchy process (AHP) was used to distribute the weight of 10 evaluation indexes of flue-cured tobacco varieties of regional trials in Sichuan province in 2016 for dynamic technique for order preference by similarity to ideal solution (DTOPSIS), membership function was used for optimizing dimensionless treatment of chemical evaluation indexes of DTOPSIS, and DTOPSIS was used for comprehensive evaluation of varieties

  • It uses the relative approximation between varieties and ideal solution to quantify the comprehensive characteristics of varieties, overcomes the subjectivity of previous comprehensive evaluation, and has been widely used in the comprehensive evaluation of crop varieties (Li et al, 2018)

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Summary

Introduction

The expression patterns of specific genes in the same plant are different (Ren et al, 2019; Yuan et al, 2019), which is one of the main reasons for the obvious differences in traits. DTOPSIS has been successfully used in the comprehensive evaluation of Maize (Zea mays L.) (Song et al, 2020), cotton (Gossypium spp.) (Ma et al, 2015) and other crops, and reported in the comprehensive evaluation of tobacco (Aconitum carmichaeli Debx.) (Sun et al, 2012; Zhou et al, 2012; Yao et al, 2020) This evaluation system needs to determine the weight of each evaluation index, but most of the predecessors used subjective empirical valuation method and expert method, which led to the lack of scientific basis for the weight allocation (Wu et al, 2012). This research would provide scientific basis for the screening, identification and promotion of new flue-cured tobacco varieties

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