2018
DOI: 10.1007/s11295-017-1219-8
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Identification of novel QTL for black tea quality traits and drought tolerance in tea plants (Camellia sinensis)

Abstract: Tea (Camellia sinensis) contain polyphenols and caffeine which have been found to be of popular interest in tea quality. Tea production relies on well distributed rainfall which influence tea quality. Phenotypic data for two segregating tea populations TRFK St 504 and TRFK St 524, were collected and used to identify the quantitative trait loci (QTL) influencing tea biochemical and drought stress traits based on a consensus genetic map constructed using the DArTseq platform. The populations comprised 261 F1 clo… Show more

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Cited by 36 publications
(44 citation statements)
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References 51 publications
(70 reference statements)
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“…A wide range of variation in individual catechins, theaflavins, and caffeine contents was observed in the two parents and F 1 progeny for all 16 phenotypic traits as described previously by Koech et al (2018).…”
Section: Resultssupporting
confidence: 65%
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“…A wide range of variation in individual catechins, theaflavins, and caffeine contents was observed in the two parents and F 1 progeny for all 16 phenotypic traits as described previously by Koech et al (2018).…”
Section: Resultssupporting
confidence: 65%
“…Two pseudo-testcross populations used in this current study consisted of 109 F 1 progeny from TRFK St. 504 (TRFK 303/577 × GW Ejulu) and 152 F 1 progeny from TRFK St. 524 (GW Ejulu × TRFK 303/577) as described previously (Koech et al 2018). In brief, the two parental clones, TRFK 303/577 and GW Ejulu, are of Assamica and China varieties, respectively.…”
Section: Methodsmentioning
confidence: 99%
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“…The selected eight phenotypic traits used were, %RWC, caffeine, catechin and tea tasters’ scores (aroma, astringency, brightness, briskness, and colour) which are associated with black tea quality and drought tolerance traits. All the individuals in both the discovery and validation populations were genotyped using 1 421 DArTseq markers (Koech et al , 2018; Koech et al , 2019).…”
Section: Methodsmentioning
confidence: 99%