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2015
DOI: 10.1007/s10681-015-1403-6
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Identification and validation of a major QTL controlling the presence/absence of leaf lobes in Brassica rapa L.

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Cited by 20 publications
(14 citation statements)
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“…NIL development is a useful method for confirming and evaluating the genetic effects of a QTL and provides useful materials for population development during fine mapping of QTLs (Ding et al, 2011 ). This method has been successfully applied for fine mapping of QTLs in most crop species (Benson et al, 2015 ; Jang et al, 2015 ; Wang et al, 2015 ; Zheng et al, 2015 ). In the present study, we developed NILs in a backcrossing program using two parents, Xiushui79 (the receipt parent) and C-bao (the donor parent).…”
Section: Discussionmentioning
confidence: 99%
“…NIL development is a useful method for confirming and evaluating the genetic effects of a QTL and provides useful materials for population development during fine mapping of QTLs (Ding et al, 2011 ). This method has been successfully applied for fine mapping of QTLs in most crop species (Benson et al, 2015 ; Jang et al, 2015 ; Wang et al, 2015 ; Zheng et al, 2015 ). In the present study, we developed NILs in a backcrossing program using two parents, Xiushui79 (the receipt parent) and C-bao (the donor parent).…”
Section: Discussionmentioning
confidence: 99%
“…In B. rapa , the formation of leaf lobes is influenced by QTL on LG A10 30 , 33 . BrLMI1 is located on LG A10 in B. rapa , and a homolog of this gene LOBED-LEAF 1 ( BnLL1 ) is considered responsible for leaf morphology in Brassica napus 34 .…”
Section: Discussionmentioning
confidence: 99%
“…An analysis of leaf morphology of B. rapa showed that the TCP genes are involved in leaf bulge and head formation 25 . In addition, a leaf lobe-related gene has been identified on LG A10 30 , 33 , and a homolog of LATE MERISTEM IDENTITY 1 ( BrLMI1 ) is considered a potential candidate associated with leaf lobe development 34 . Furthermore, next-generation sequencing (NGS) technology enables rapid and high-throughput QTL detection.…”
Section: Introductionmentioning
confidence: 99%
“…All of the above traits were determined for five plants per line and three leaves per plant. The values of LL, LW, PL and LTL were measured using a ruler as described by Wang et al (2015) [15]. The SAS 9.0 program (SAS Institute, Inc., Cary, NC, USA) was used for distribution analysis.…”
Section: Methodsmentioning
confidence: 99%
“…QTLs have been identified for leaf morphology in Brassica rapa [14, 15], tomato [16], grape [17], oak [18], maize [19], and Arabidopsis [20], suggesting that leaf morphological variation is controlled by multiple genes. QTLs for leaf architecture have also been identified in Brassica species [2124].…”
Section: Introductionmentioning
confidence: 99%