Plant vigour QTLs co-map with an earlier reported QTL hotspot for drought tolerance while water saving QTLs map in other regions of the chickpea genome

Sivasakthi, Kaliamoorthy; Thudi, Mahendar; Tharanya, Murugesan; Kale, Sandip M.; Kholová, Jana; Halime, Mahamat Hissene; Jaganathan, Deepa; Baddam, Rekha; Thirunalasundari, Thiyagarajan; Gaur, Pooran M.; Varshney, Rajeev K.; Vadez, Vincent

doi:10.1186/s12870-018-1245-1

Table 2 ANOVA results for the 16 traits phenotyped using high throughput plant phenotyping platform (LeasyScan). F represents probability; SE represents the standard error; LSD represents least significant difference and h² represents the heritability values

From: Plant vigour QTLs co-map with an earlier reported QTL hotspot for drought tolerance while water saving QTLs map in other regions of the chickpea genome

			Parents				Progenies
Trait No.	Traits code	Year	ICC 4958	ICC 1882	Significance	LSD	Variation in RILs	Grand mean	Significance	S.E	LSD	h² (%)
1	VIG	2015	5	2.0	0.01	1.0	2.0 - 5.00	3.718	<.001	0.50	0.97	73
2	3DL	2014	46,497	25,389	0.01	16,147	14,237 -71,290	35,549.7	<.001	5575.00	10,956	76
2	3DL	2015	54,684	33,353	0.01	19,884	14,292 - 68,103	40,299	<.001	6285.00	12,339.5	89
3	3DG	2014	3079	2031	0.05	674	1207 - 4461	2397	<.001	311.80	612.7	72
3	3DG	2015	2298	1774	0.05	407	310.5 - 4487	2146	<.001	328.00	643	85
4	PL	2014	435	252	0.01	127	175 - 561	323	<.001	34.50	68.4	50
4	PL	2015	515	354	0.01	174	260 - 649.3	447	<.001	43.50	85.3	70
5	PLG	2014	68	38	0.01	27	−0.079 - 6.7	2.191	<.001	0.73	1.42	37
5	PLG	2015	19	13	0.01	7.4	4.14 - 43.15	18.43	<.001	4.80	9.4	41
6	PH	2014	110	76	0.01	29	54 - 150	96.87	<.001	4.41	8.66	96
6	PH	2015	126	72	0.01	26	47.41 - 198.3	102.7	<.001	9.20	18.1	88
7	PHG	2014	3.1	1.47	0.05	1.2	12.15 - 99.45	57.96	<.001	11.40	22.4	62
7	PHG	2015	2.1	0.97	0.01	1.1	−6.12 - 4.30	1.45	<.001	0.58	1.14	57
8	LAI	2014	0.60	0.42	0.05	0.1	0.18 - 0.79	0.383	<.001	0.0566	0.1113	59
8	LAI	2015	1.21	0.79	0.01	0.4	0.5882 - 1.399	0.988	<.001	0.11	0.21	45
9	R-3D/PLA	2014	0.19	−8.18	ns	22	−95.54	−0.401	<.001	8.16	16.04	68
9	R-3D/PLA	2015	44	68	0.05	17	−26.4 - 160.6	62.54	<.001	16.55	32.53	51
10	SDW	2014	20	12.9	0.01	6.2	8.66 - 28.97	15.78	<.001	1.21	2.38	86
10	SDW	2015	18	11.3	0.01	4.5	6.523 - 25.09	14.24	<.001	2.60	5.12	60
11	SLA	2014	4651	3975	0.05	628	1403 - 9774	4221	<.001	951.80	1870.4	66
11	SLA	2015	3287	2559	0.01	369	543.7 - 7116	2471	<.001	622.00	1222.3	64
12	SLW	2014	0.21	0.25	0.05	0.04	0.102 - 0.7126	0.2616	<.001	0.06	0.12	70
12	SLW	2015	0.73	0.33	0.01	0.25	0.1525 - 1.549	0.4849	<.001	1.22	0.24	72
13	Et	2014	37	24	0.05	4.89	13.92 - 37	22.01	<.001	2.65	5.208	65
13	eT	2015	74.46	58.46	0.01	10.44	39.83 - 108	73.21	<.001	7.9	15.6	53
14	eTR	2014	0.537	1.156	0.01	0.267	0.306 - 1.532	0.771	<.001	0.119	0.233	25
14	eTR	2015	1.278	3.00	0.01	0.539	0.918 - 3.473	1.611	<.001	0.264	0.519	25
15	T	2014	20.33	13.00	0.01	3.069	5.074 - 34.42	16.84	<.001	3.11	6.12	62
15	T	2015	50.26	34	0.01	6.75	17.13 - 88.78	52.28	<.001	6.63	13.02	70
16	TR	2014	0.00047	0.00090	0.01	0.00031	0.000289 - 0.00089	0.00058	0.004	0.000083	0.000163	41
16	TR	2015	0.00046	0.00086	0.01	0.00021	0.00034 - 0.00189	0.00111	<.001	0.000167	0.000328	57

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