Genetic parameters and selection for multiple traits in recurrent selection populations of maize

Silva, Érica Munique da; Guedes, Márcio Lisboa; Crispim Filho, Ailton José; Ciappina, Angelina Luzia; Reis, Edésio Fialho dos; Resende, Marcela Pedroso Mendes

doi:10.1590/0034-737X202370030009

Érica Munique da Silva ^**Corresponding author: ericamunique47@gmail.com

Universidade Federal de Goiás, Goiânia, Goiás, Brazil. ericamunique47@gmail.com; marcioguedesbio@gmail.com; ailtonjcf@gmail.com; angelinaciappina@gmail.com; edesiofr7@gmail.com; marcelapmr@ufg.br

https://orcid.org/0000-0003-3737-3401

Márcio Lisboa Guedes

Universidade Federal de Goiás, Goiânia, Goiás, Brazil. ericamunique47@gmail.com; marcioguedesbio@gmail.com; ailtonjcf@gmail.com; angelinaciappina@gmail.com; edesiofr7@gmail.com; marcelapmr@ufg.br

Ailton José Crispim Filho

Universidade Federal de Goiás, Goiânia, Goiás, Brazil. ericamunique47@gmail.com; marcioguedesbio@gmail.com; ailtonjcf@gmail.com; angelinaciappina@gmail.com; edesiofr7@gmail.com; marcelapmr@ufg.br

Angelina Luzia Ciappina

Universidade Federal de Goiás, Goiânia, Goiás, Brazil. ericamunique47@gmail.com; marcioguedesbio@gmail.com; ailtonjcf@gmail.com; angelinaciappina@gmail.com; edesiofr7@gmail.com; marcelapmr@ufg.br

Edésio Fialho dos Reis

Universidade Federal de Goiás, Goiânia, Goiás, Brazil. ericamunique47@gmail.com; marcioguedesbio@gmail.com; ailtonjcf@gmail.com; angelinaciappina@gmail.com; edesiofr7@gmail.com; marcelapmr@ufg.br

Marcela Pedroso Mendes Resende

Universidade Federal de Goiás, Goiânia, Goiás, Brazil. ericamunique47@gmail.com; marcioguedesbio@gmail.com; ailtonjcf@gmail.com; angelinaciappina@gmail.com; edesiofr7@gmail.com; marcelapmr@ufg.br

*Corresponding author: ericamunique47@gmail.com

Traits¹ 1/ FF: female flowering; MF: male flowering; FI: flowering interval; PH: plant height; EH: ear height; REP: relative ear position; EL: ear length; KL: kernel length; ED: ear diameter; CD: cob diameter; NR: number of rows per ear; NKR: number of kernels per row; LDBR: lodging and breakage; PROL: prolificacy; EY: ear yield; GY: grain yield.	CRE-01				CRE-02
	h ²	IC _{h ²}	θ	Gs	h ²	IC _{h ²}	θ	Gs
FF	71.62	0.72 - 0.84	0.75	-22.55	54.88	0.61 - 0.78	0.64	-2.50
MF	62.52	0.62 - 0.79	0.92	-20.53	61.30	0.55 - 0.74	0.73	-2.46
FI	47.94	0.48 - 0.71	0.55	-3.19	33.91	0.34 - 0.63	0.41	-10.60
PH	66.59	0.67 - 0.81	0.82	-18.24	37.37	0.37 - 0.64	0.10	-3.17
EH	54.52	0.55 - 0.74	0.63	-12.36	28.69	0.29 - 0.60	0.37	-3.33
REP	47.14	0.47 - 0.70	0.55	-7.21	6.54	0.07 - 0.47	0.15	-1.05
EL	49.38	0.49 - 0.71	0.57	8.41	42.01	0.42 - 0.67	0.49	9.54
KL	35.81	0.36 - 0.64	0.43	5.38	7.98	0.08 - 0.48	0.17	1.00
ED	51.18	0.51 - 0.72	0.59	5.63	39.52	0.40 - 0.66	0.47	9.45
CD	57.60	0.58 - 0.76	0.67	-5.84	40.53	0.41 - 0.66	0.48	-8.46
NR	59.46	0.59 - 0.77	0.70	1.66	44.60	0.45 - 0.69	0.52	7.36
NKR	33.03	0.33 - 0.62	0.41	4.55	24.92	0.25 - 0.57	0.33	6.36
LDBR	48.60	0.49 - 0.71	0.56	-4.19	24.12	0.76 - 0.87	0.33	-7.04
PROL	35.63	0.36 - 0.64	0.43	3.08	35.47	0.35 - 0.63	0.43	1.78
EY	87.45	0.87 - 0.93	1.52	43.90	96.92	0.97 - 0.98	3.24	81.37
GY	86.81	0.87 - 0.93	1.48	45.56	69.58	0.70 - 0.83	0.87	18.47

Traits¹ 1/ FF: female flowering; MF: male flowering; FI: flowering interval; PH: plant height; EH: ear height; REP: relative ear position; EL: ear length; KL: kernel length; ED: ear diameter; CD: cob diameter; NR: number of rows per ear; NKR: number of kernels per row; LDBR: lodging and breakage; PROL: prolificacy; EY: ear yield; GY: grain yield.	FF	MF	FI	PH	EH	REP	EL	KL	ED	CD	NR	NKR	LDBR	PROL	EY	GY
FF	-	⁺⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.83	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.64	0.10	0.11	0.03	0.21	-0.03	0.27	0.36	0.26	-0.05	-0.40	-0.18	-0.04	-0.06
MF	⁺⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.85	-	0.10	-0.13	0.00	0.21	0.13	-0.03	0.17	0.24	0.19	-0.10	-0.49	0.13	-0.20	-0.21
FI	0.13	-0.41	-	0.35	0.19	-0.22	0.20	-0.01	0.24	0.31	0.20	0.05	-0.03	-0.50	0.20	0.18
PH	-0.01	-0.04	0.06	-	⁺⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.81	-0.22	0.11	0.22	0.32	0.15	0.23	0.23	-0.09	-0.24	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.40	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.38
EH	0.07	-0.06	0.23	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.94	-	0.38	0.17	0.40	0.37	0.04	0.12	0.56	-0.13	-0.18	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.48	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.46
REP	0.23	-0.10	0.59	0.30	0.59	-	-0.04	0.09	0.04	-0.04	-0.12	0.33	0.14	0.05	0.15	0.15
EL	0.15	0.07	0.12	0.44	0.63	0.70	-	0.23	0.33	0.16	0.11	0.54	-0.64	-0.05	0.26	0.25
KL	0.44	0.38	0.05	0.21	0.39	0.69	0.26	-	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.61	-0.28	0.22	0.61	-0.27	-0.23	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.49	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.49
ED	0.28	0.21	0.08	-0.05	-0.21	-0.40	0.12	0.83	-	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.58	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.54	0.38	-0.51	-0.31	0.35	0.34
CD	0.05	0.02	0.05	-0.18	-0.56	⁺⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 1.00	-0.02	0.49	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.90	-	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.43	-0.17	-0.34	-0.13	-0.08	-0.10
NR	0.22	0.11	0.18	-0.12	-0.16	-0.11	-0.25	0.29	0.30	0.19	-	0.35	-0.24	0.01	0.17	0.17
NKR	-0.02	0.01	-0.06	0.65	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.94	⁺⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 1.00	0.62	0.48	0.08	-0.31	-0.39	-	-0.18	-0.17	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.60	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.59
LDBR	0.03	-0.22	0.46	0.50	0.58	0.40	-0.02	0.15	-0.01	-0.14	-0.16	0.14	-	-0.67	0.16	0.13
PROL	-0.15	-0.08	-0.12	0.46	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.64	0.67	0.50	0.06	-0.19	-0.34	⁺⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.86	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.80	0.18	-	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. -0.51	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. -0.51
EY	-0.33	-0.27	-0.06	0.49	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.61	0.56	0.45	0.53	0.31	0.03	-0.05	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.70	0.13	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.44	-	⁺⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 1.00
GY	-0.39	-0.29	-0.12	0.45	0.60	0.62	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.46	0.61	0.32	-0.03	-0.02	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.73	0.04	⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.44	⁺⁺ ++ and + Significant at 1% and 5%, respectively, by the bootstrap method with 5000 simulations. 0.99	-

Traits¹ 1/ FF: female flowering; MF: male flowering; FI: flowering interval; PH: plant height; EH: ear height; REP: relative ear position; EL: ear length; KL: kernel length; ED: ear diameter; CD: cob diameter; NR: number of rows per ear; NKR: number of kernels per row; LDBR: lodging and breakage; PROL: prolificacy; EY: ear yield; GY: grain yield.	FF	MF	FI	PH	EH	REP	EL	KL	ED	CD	NR	NKR	LDBR	PROL	EY	GY
FF		^**0.77	^** 0.58	-0.00	0.01	0.02	0.10	-0.04	^*0.17	0.26^**	^**0.22	-0.06	-0.14	-0.15	-0.06	-0.08
MF	^**0.74		-0.07	-0.14	-0.05	0.15	0.08	-0.02	0.12	0.17^*	^*0.17	-0.08	^*-0.20	0.06	-0.15	^*-0.16
FI	^*0.20	^**-0.51		^*0.18	0.07	-0.17	0.06	-0.04	0.12	0.19^*	0.11	-0.00	0.04	^**-0.32	0.10	0.08
PH	-0.02	-0.06	0.06		^**0.75	-0.11	0.13	0.13	0.224	0.12	0.14	0.22	-0.03	-0.08	^**0.37	^*0.36
EH	0.02	-0.01	0.05	^**0.80		^**0.47	0.15	^**0.25	^**0.24	0.01	0.06	^**0.35	-0.06	-0.06	^** 0.39	^**0.37
REP	0.07	0.05	0.01	0.11	^**0.68		-0.02	0.10	0.03	-0.078	-0.06	^*0.17	-0.02	0.00	0.13	0.13
EL	0.09	0.00	0.11	^**0.23	^**0.23	0.09		^**0.23	^**0.31	0.12	0.09	^**0.61	^**-0.23	-0.02	^** 0.23	^**0.23
KL	0.14	0.09	0.05	0.13	0.10	0.02	^**0.28		^**0.66	-0.37^**	^**0.26	^**0.37	-0.15	-0.10	^** 0.35	^** 0.35
ED	0.15	0.11	0.04	0.03	-0.05	-0.11	^**0.29	^**0.80		0.45^**	^**0.51	^**0.30	^**-0.22	^*-0.20	^** 0.30	^** 0.30
CD	0.06	0.06	-0.01	-0.09	^*-0.19	^*-0.20	0.11	-0.03	^**0.57		^**0.33	-0.07	-0.10	-0.13	-0.05	-0.06
NR	0.12	0.06	0.07	0.01	-0.02	-0.03	-0.00	^**0.31	^**0.45	0.30^**		^*0.20	-0.14	-0.04	0.13	0.14
NKR	-0.01	-0.04	0.04	^**0.27	^**0.30	^*0.16	^**0.70	^**0.33	^**0.28	0.02	-0.01		-0.04	-0.11	^**0.44	^** 0.43
LDBR	0.04	-0.04	0.10	0.14	0.14	0.05	-0.04	0.01	-0.01	-0.02	0.00	0.02		^**-0.22	0.02	0.00
PROL	-0.09	-0.07	-0.01	^**0.21	^**0.24	0.13	^**0.53	0.05	-0.08	-0.18^*	^**-0.65	^**0.76	0.02		^**-0.30	^**-0.30
EY	^**-0.26	^**-0.22	-0.02	^**0.31	^**0.33	^*0.18	^**0.34	^**0.26	^**0.26	0.07	0.02	^**0.47	-0.01	^**0.35		^** 0.99
GY	^**-0.30	^**-0.24	-0.04	^**0.29	^**0.31	^*0.17	^**0.34	^**0.29	^**0.27	0.04	0.05	^**0.48	-0.04	^**0.34	^**0.98

Index¹	Population
Index¹	CRE-01	CRE-02
I_SH x I_MM	35.48	20.14
I_SH x I_Z	71.33	65.28
I_MM x I_Z	42.65	27.08

VARIABLE	SMITH & HAZEL						MULAMBA & MOCK						Z INDEX
	CRE-01			CRE-02			CRE-01			CRE-02			CRE-01			CRE-02
	Gs	Gs%	∆Gs	Gs	Gs%	∆Gs	Gs	Gs%	∆Gs	Gs	Gs%	∆Gs	Gs	Gs%	∆Gs	Gs	Gs%	∆Gs
Total	7.05			4.23			3.36			0.70			6.50			3.96
FF	0.53	0.86	0.00	0.68	1.04	-42.55	0.46	0.76	0.00	-0.25	-0.38	15.35	0.63	1.02	0.00	0.56	0.88	-35.25
MF	0.24	0.40	0.00	0.72	1.11	-46.12	0.15	0.25	0.00	-0.16	-0.25	10.33	0.32	0.53	0.00	0.54	0.85	-34.54
FI	0.17	1.55	-159.65	0.06	0.49	-0.38	0.20	1.83	-188.20	-0.06	-0.52	0.40	0.17	1.59	-163.43	0.09	0.74	-0.56
PH	0.04	1.72	-1.50	0.02	1.01	-32.59	0.04	1.81	-1.58	0.02	0.70	-22.14	0.06	3.03	-2.65	0.03	1.30	-40.90
EH	0.02	1.88	-13.17	0.02	1.29	-40.42	0.02	1.98	-13.90	0.01	0.87	-26.11	0.03	2.99	-20.98	0.02	1.60	-47.92
REP	0.00	0.32	-10.50	0.00	0.14	-30.43	0.00	0.39	-12.66	0.00	0.08	-17.77	0.00	0.50	-16.05	0.00	0.15	-33.20
EL	0.44	2.61	3.19	0.37	2.12	0.15	0.35	2.04	2.50	0.08	0.46	0.03	0.45	2.67	3.27	0.35	2.14	0.14
KL	0.01	1.20	22.20	0.00	0.39	40.14	0.01	0.80	14.79	0.00	0.33	32.87	0.02	1.91	35.34	0.01	0.57	56.42
ED	0.07	1.58	8.07	0.05	1.08	0.12	0.08	1.80	9.18	0.04	0.89	0.09	0.10	2.07	10.56	0.08	1.82	0.19
CD	0.05	1.68	-23.30	0.01	0.41	-0.58	0.07	2.51	-34.82	0.01	0.34	-0.48	0.05	1.84	-25.49	0.03	1.11	-1.56
NR	0.33	2.20	888.03	0.04	0.29	0.28	0.21	1.37	552.15	0.03	0.24	0.23	0.40	2.65	1070.44	0.15	1.05	0.99
NKR	0.51	1.51	5.68	0.34	0.95	0.01	0.40	1.19	4.46	0.20	0.57	0.01	0.56	1.67	6.27	0.43	1.27	0.02
LDBR	-0.13	-6.57	208.29	-0.03	-2.71	217.92	-0.14	-7.15	226.70	0.01	1.07	-95.18	-0.05	-2.43	77.00	-0.03	-2.24	200.43
PROL	-0.02	-2.07	-73.97	0.03	1.22	172.32	-0.03	-2.48	-88.60	0.02	0.66	90.69	-0.02	-1.84	-65.92	0.03	1.04	142.02
EY	2.70	40.05	89.24	1.26	14.05	20.11	0.92	13.68	30.48	0.47	6.15	7.56	2.13	31.56	70.33	1.10	14.42	17.64
GY	2.09	40.35	86.59	0.66	9.43	58.73	0.62	11.99	25.74	0.28	4.70	25.43	1.65	31.89	68.44	0.57	9.53	51.35

[1] *Corresponding author: ericamunique47@gmail.com

Brasil

Brasil

Genetic parameters and selection for multiple traits in recurrent selection populations of maize¹ 1 This work is part of the first author’s research project funded by CAPES.

ABSTRACT

Brasil

Brasil

Genetic parameters and selection for multiple traits in recurrent selection populations of maize1 1 This work is part of the first author’s research project funded by CAPES.

ABSTRACT

Genetic parameters and selection for multiple traits in recurrent selection populations of maize¹ 1 This work is part of the first author’s research project funded by CAPES.