Estimates of genetic parameters in diallelic populations of cotton subjected to water stress

Vasconcelos, Walmir S.; Santos, Roseane C. dos; Vasconcelos, Ubieli A. A.; Cavalcanti, José J. V.; Farias, Francisco J. C.

doi:10.1590/1807-1929/agriambi.v24n8p541-546

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Articles • Rev. bras. eng. agríc. ambient. 24 (8) • Aug 2020 • https://doi.org/10.1590/1807-1929/agriambi.v24n8p541-546 copy

Estimates of genetic parameters in diallelic populations of cotton subjected to water stress

Estimativa de parâmetros genéticos em população dialélica de algodoeiro submetida a estresse hídrico

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

The objective of this study was to estimate the general combining ability (GCA) and specific combining ability (SCA) of cotton genotypes subjected to water stress, based on fiber quality traits. Irrigated cotton plants were grown in the dry season in the Northeast region of Brazil and subjected to 23 days without irrigation at the beginning of the flowering stage. GCA and SCA analyses were based on the partial diallel model. Significant differences were found for GCA for all traits, with predominance of additive effects. The crossing between the genotypes FM-966 and CNPA-5M was the most promising hybrid combination, showing great potential for improvements in fiber quality in environments subjected to water stress, such as the Semiarid region of the Northeast of Brazil.

Key words:
Gossypium hirsutum L.; combining ability; drought tolerance

Parent	Recommended region	Maturity	Fiber color	Main trait
Group I:
1. FMT-705	Cerrado	Early-intermediate	White	High fiber yield
2. FM-966	Cerrado	Early	White	High fiber yield
3. BRS-RUBI	Cerrado	Intermediate	Brown	High fiber yield
4. BRS-286	Cerrado	Early-intermediate	White	High fiber yield
5. FMT-701	Cerrado	Late	White	High fiber yield
Group II:
6. CNPA-ITA-90	Cerrado	Late	White	Tolerance to water stress
7. CNPA-5M	Semiarid	Late	White	Tolerance to water stress
8. CNPA-7MH	Semiarid	Late	White	Tolerance to water stress
9. BRS-Seridó	Semiarid	Intermediate	White	Tolerance to water stress

SV	DF	Mean square
SV	DF	UHM	UNF	SFI	STR	ELG	MIC	MAT	CSP
Block	4	1.91	1.37	0.55	2.35	0.25	0.02	0.0005	368370.80
Genotype (G)	19	15.75**	6.14**	8.04**	33.48**	1.47**	0.63**	0.0005**	495213.65**
Year (Y)	1	43.38**	0.01	0.22	2.34	1.24	2.85**	0.0017	210899.52
G × Y	19	2.48**	1.80**	0.53	3.29**	0.35**	0.12**	0.0001	91029.55**
Error	76	0.64	0.85	0.32	1.36	0.12	0.02	0.0001	30665.52
		(mm)	(%)		(gf tex^-1)	(%)		(%)
Mean		28.78	84.13	7.97	28.60	5.01	4.85	0.88	2528.80
CV (%)		2.78	1.09	7.18	4.08	6.99	3.27	0.77	6.92

Hybrids	Traits
	UHM (mm)	UNF	SFI	STR (gf tex^-1)	ELG (%)	MIC	MAT (%)	CSP
	UHM (mm)	(%)		STR (gf tex^-1)	ELG (%)	MIC	MAT (%)	CSP
FMT-705 × CNPA-ITA-90	26.57 c	83.48 b	8.59 b	26.39 c	5.26 a	5.11 a	0.89 a	2334.39 e
FMT-705 × CNPA-5M	29.28 b	85.11 a	6.76 c	29.96 b	6.04 a	4.90 b	0.89 a	2625.79 b
FMT-705 × CNPA-7MH	29.17 b	84.85 a	7.14 c	30.80 a	4.62 b	5.20 a	0.89 a	2630.99 b
FMT-705 × BRS-Seridó	27.95 c	84.43 a	7.84 c	28.60 b	4.77 b	5.24 a	0.89 a	2384.82 d
FM-966 × CNPA-ITA-90	29.05 b	83.97 b	7.70 c	28.44 b	4.77 b	4.52 c	0.87 b	2558.32 c
FM-966 × CNPA-5M	31.17 a	85.03 a	7.06 c	31.85 a	4.59 b	4.53 c	0.87 b	3039.56 a
FM-966 × CNPA-7MH	29.43 b	85.57 a	6.85 c	32.14 a	4.21 c	4.88 b	0.89 a	2950.84 a
FM-966 × BRS-Seridó	30.03 b	85.99 a	6.93 c	29.49 b	4.42 b	5.35 a	0.91 a	2680.16 b
BRS-RUBI × CNPA-ITA-90	26.06 c	82.08 b	10.71 a	23.80 d	5.53 a	4.44 c	0.86 b	2081.73 f
BRS-RUBI × CNPA-5M	27.29 c	83.24 b	8.86 b	25.22 d	5.47 a	4.88 b	0.87 b	2323.72 e
BRS-RUBI × CNPA-7MH	26.52 c	82.98 b	9.40 b	24.93 d	5.74 a	4.29 d	0.87 b	2097.87 f
BRS-RUBI × BRS-Seridó	26.02 c	82.34 b	10.13 a	25.40 d	5.32 a	5.03 b	0.89 a	1978.65 f
BRS-286 × CNPA-ITA-90	28.90 b	83.65 b	8.61 b	27.36 c	5.58 a	4.47 c	0.87 b	2419.77 d
BRS-286 × CNPA-5M	29.94 b	84.36 a	7.20 c	28.86 b	5.26 a	4.78 c	0.89 a	2620.32 b
BRS-286 × CNPA-7MH	29.86 b	84.41 a	7.18 c	29.83 b	4.61 b	5.02 b	0.89 a	2688.06 b
BRS-286 × BRS-Seridó	29.31 b	84.30 a	7.41 c	30.20 b	5.05 b	5.20 a	0.89 a	2602.23 b
FMT-701 × CNPA-ITA-90	29.48 b	84.35 a	7.66 c	29.71 b	4.97 b	4.47 c	0.87 b	2694.74 b
FMT-701 × CNPA-5M	31.97 a	85.04 a	6.60 c	30.78 a	4.84 b	4.56 c	0.89 a	2953.34 a
FMT-701 × CNPA-7MH	29.29 b	83.59 b	7.90 c	29.39 b	4.70 b	4.79 c	0.89 a	2571.85 c
FMT-701 × BRS-Seridó	28.40 b	83.89 b	8.84 b	28.86 b	4.46 b	5.24 a	0.90 a	2338.84 e

SV	DF	Mean square
SV	DF	UHM	UNF	SFI	STR	ELG	MIC	MAT	CSP
Genotype (G)	19	15.74**	6.14**	8.04**	33.48**	1.47**	0.63**	0.0005**	495213.65**
GCA – I	4	50.54*	19.84*	25.78**	115.19**	3.78	0.68**	0.0010**	1563804.14*
GCA – II	3	21.04	5.93*	10.65*	33.47*	1.96	2.08**	0.0022*	669691.23*
SCA	12	2.82	1.63	1.49	6.26	0.57	0.25	0.0001	95396.29
Years (Y)	1	43.38**	0.001	0.22	2.34	1.24	2.85**	0.0017	210899.52
G × Y	19	2.48**	1.80**	0.53	3.29**	0.35**	0.12**	0.0001	91029.55**
GCA – I × Y	4	4.40**	2.71**	0.29	4.56*	0.67**	0.03	0.0001	123799.96**
GCA – II × Y	3	3.50**	0.64	0.59	3.71*	0.26	0.01	0.0001	42942.89
SCA × Y	12	1.58**	1.78*	0.60*	2.76*	0.27*	0.18**	0.0001	92128.32
Error	76	0.64	0.85	0.32	1.36	0.12	0.02	0.0001	30665.52
		(mm)	(%)		(gf tex^-1)	(%)		(%)
Means		28.78	84.13	7.97	28.60	5.01	4.85	0.88	2528.80

Genotypes	Evaluated traits
	UHM (mm)	UNF	SFI	STR (gf tex^-1)	ELG (%)	MIC	MAT (%)	CSP
	UHM (mm)	(%)		STR (gf tex^-1)	ELG (%)	MIC	MAT (%)	CSP
	Group I
1. FMT-705	-0.54	0.32	-0.38	0.33	0.16	0.26*	0.01	-34.80
2. FM-966	1.13*	1.00*	-0.83*	1.88*	-0.51*	-0.02	0.01	278.42*
3. BRS-RUBI	-2.30*	-1.47*	1.80*	-3.76*	0.50*	-0.18*	-0.01	-408.30*
4. BRS-286	0.71	0.05	-0.36	0.46	0.11	0.02	0.01	53.79
5. FMT-701	1.00*	0.08	-0.21	1.08*	-0.27	-0.08	0.01	110.89
	Group II
6. CNPA-ITA-90	-0.77	-0.62	0.68	-1.46*	0.21	-0.24*	-0.01	-111.01
7. CNPA-5M	1.14*	0.42	-0.67	0.73*	0.23	-0.11	-0.01	183.74*
8. CNPA-7MH	0.07	0.14	-0.27	0.81	-0.23	-0.01	0.01	59.12
9. BRS-Seridó	-0.44	0.05	0.26	-0.09	-0.20	0.36*	0.01	-131.86

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[1] Walmir S. Vasconcelos - E-mail: walmirsv@hotmail.com (Corresponding author)