Title : Development of mapping population and use of SSR markers for breeding disease resistance against tomato leaf curl virus

Type of Material: Thesis
Title: Development of mapping population and use of SSR markers for breeding disease resistance against tomato leaf curl virus
Researcher: Oladokun, John Oladeji
Guide: Nath, P D
Department: Plant Pathology
Publisher: Assam Agricultural University, Johrat
Place: Johrat
Year: 2021
Language: English
Subject: Plant Pathology
Agricultural Sciences
Life Science
Dissertation/Thesis Note: PhD; Plant Pathology, Assam Agricultural University, Johrat, Johrat; 2021
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_462927
040__|dIN-AhILN|aASAM_785013
041__|aeng
100__|eResearcher|aOladokun, John Oladeji
110__|aPlant Pathology|0U-0048|dJohrat|bAssam Agricultural University, Johrat|ein
245__|aDevelopment of mapping population and use of SSR markers for breeding disease resistance against tomato leaf curl virus
260__|aJohrat|c2021|bAssam Agricultural University, Johrat
300__|dDVD
502__|d2021|bPhD|cPlant Pathology, Assam Agricultural University, Johrat, Johrat
518__|d2021|oDate of Award
518__|oDate of Registration|d2017
518__|oDate of Completion|d2021
520__|aTomato leaf curl disease (ToLCD) caused by the tomato leaf curl virus (ToLCV) has been a serious threat to tomato crops for decades and breeding genotypes resistant to ToLCD is a sustainable management option. An open field screening was conducted in an augmented design between 2018 and 2019 which was aimed at identifying resistance in 39 tomato genotypes, and developing mapping populations for genetic and inheritance trait analysis in the population. Symptoms associated with ToLCV were recorded, importantly leaf curls incidence alone accounted for 53% (in single infection). The highly resistant genotypes are EC164563, 171, EC520078-B, EC165690, IIHR 2904, H24, S. pimpinellifolium, IIHR 2871, IIHR 2862, EC157568, EC521067-B, and IIHR 2867 with incidence ranging between 8.3-18.2% ± 12.3. The S. pimpinellifolium was selected for further studies. There was a significant relationship between whitefly population × minimum temperature (r = -0.973, P=0.05), whitefly population × relative humidity (r = -0.996, P
650__|aAgricultural Sciences|2UGC
650__|aLife Science|2AIU
653__|aPlant Pathology
700__|aNath, P D|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/474172|yShodhganga
905__|afromsg

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