Characterization and screening for leaf curl disease resistance in natural variants of tomato (Solanum lycopersicum) genotypes

Author:

CHANDRASHEKAR K,SAHA SWATI,VERMA ABHISHEK,TRIPATHI SAVARNI,BASAVARAJ Y B,KHAR ANIL

Abstract

The experiment was conducted during winter (rabi) seasons of 2022 and 2023 at ICAR-Indian Agricultural Research Institute, Pune, Maharashtra to evaluate the natural variants of tomato (Solanum lycopersicum L.), PTS-8, PTS-25 and PTS-29, isolated from Pusa Gaurav and EC538421. The identified line evaluated along with parental lines (Pusa Gaurav and EC-538421); PTS-24; Pusa Rohini and Arka Rakshak for morphological characterization and tomato leaf curl virus (ToLCV) incidence. Plant height ranged from 41.35–144.33 cm and early flowering (30–33 days) was observed in lines, PTS-24, PTS-25, and PTS-29. Large sized fruits (72–76 g) were recorded in PTS-8 and PTS-25, while highest yield (138.65 t/ha) was recorded in PTS-25. PTS-24 and PTS-25 recorded low seed content of 0.28 g and 0.37 g/100 g fresh fruit, respectively which is desirable for utility in processing industry and for raw consumption. Highest vitamin C content (38.87 mg/100 g FW) was observed in PTS-24. Incidence of ToLCV was lowest in PTS-8 (5.33%), followed by EC538421 (6.25%), PTS -29 (6.61%) and Arka Rakshak (6.93%). Pusa Rohini was most susceptible line (48.42%). All the lines were screened for leaf curl, CMV and aphid/nematode resistance/ tolerance markers with 12 different primers. Line EC538421, its variants PTS-8, PTS-29 and Arka Rakshak showed amplification of resistant fragment (900 bp, T0302 primer) for ToLCV resistant marker Ty-2. All the lines were tested negative for other resistance markers. Principal component analysis revealed that traits such as number of fruits/plant, yield, disease intensity, seeds/fruit etc. were some of the principal discriminatory characteristics. These identified lines can be utilized in breeding programmes to develop improved tomato cultivars.

Publisher

Indian Council of Agricultural Research, Directorate of Knowledge Management in Agriculture

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3