Comparative mapping of chalkiness components in rice using five populations across two environments

BMC Genomic Data

Table 4 QTL detected for chalkiness traits in population ZS97/NYZ

Trait^a	Chr^b	Interval	QTL	Hainan			Wuhan
Trait^a	Chr^b	Interval	QTL	LOD	Add^c	% Var^d	LOD	Add^c	% Var^d
CR
	2	RM183-RM526	qCR2-N-	3.5	-3.33	6.8
	6	RM527- MRG2498	qCR6-1N-	5.6	-3.65	8.1	5.0	-3.91	13.4
CA
	1	RM488-RM246	qCA1-N-				3.6	-3.58	4.6
	3	RM545-RM517	qCA3-1N-				5.6	-5.09	9.2
	3	RM468-RM570	qCA3-2N-				2.6	-2.95	3.1
	6	RM190-RM587	qCA6-1N-	1.9	-2.79	3.9
	6	RM585-RM557	qCA6-2N-				6.9	-4.52	7.3
	6	MRG2498-RM454	qCA6-3N-	3.4	-3.77	7.1
	9	RM296-RM321	qCA7-N-				4.8	-4.12	6.0
	11	RM332-RM167	qCA8-N-				9.1	-5.36	10.2
WCR
	6	MRG2498-RM454	qWCR6-N-	2.9	-10.35	6.7
WBR
	1	RM490-RM600	qWBR1-N+	3.3	12.61	9.2
	8	RM264-RM477	qWBR8-N+	3.0	11.05	7.1	5.0	12.32	9.4
	12	RM101-RM519	qWBR12-N+	3.6	14.55	12.3	3.3	12.40	9.6

^aCR, chalkiness rate; CA, chalkiness area; WCR, white core rate; WBR, white belly rate; WCA, white core area; WBA, white belly area.
^bChr, chromosome.
^cThe additive effects caused by QTL; the positive value indicates that the Zhenshan 97 allele increase the trait score, while the negative value indicates that the Zhenshan 97 allele decrease the trait score.
^dThe phenotypic variation explained by QTL.

ISSN: 2730-6844