Phenotypic and genotypic evaluation of <i>Parkia platycephala</i> families: a proposal for pre-selection

Silva, Dandara Yasmim Bonfim de Oliveira; Farias, Séfora Gil Gomes de; Dias, Poliana Coqueiro; Silva, Romario Bezerra e; Dias, Bruna Anair Souto

doi:10.1590/1984-70332023v23n1a4

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Crop Breeding and Applied Biotechnology

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ARTICLE • Crop Breed. Appl. Biotechnol. 23 (1) • 2023 • https://doi.org/10.1590/1984-70332023v23n1a4 copy

Phenotypic and genotypic evaluation of Parkia platycephala families: a proposal for pre-selection

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

The objective of the study was to determine whether Parkia platycephala families with superior morphophysiological traits perform consistently across four stages of early development (plantlets, seedlings, and juveniles at 34 and 60 months), as a means to assess the possibility of conducting pre-selection. For 21 morphophysiological traits, the following genetic parameters were estimated: heritability, coefficients of variation (genetic, relative, and environmental), accuracy, genetic and phenotypic correlation, percentage of coincidence (PC) of the best families, effective population size, and inbreeding in three progeny tests conducted under laboratory, nursery, and field conditions. Families of P. platycephala showed significant phenotypic and genotypic differences. The traits evaluated show genetic control. The percentage of coincidence between the best families was more accurate when the selection intensity was greater than 50% (PC ≥ 52%). Based on the evaluated traits, a pre-selection strategy at the juvenile stage for P. platycephala was researched to effectively identify superior families.

Keywords:
Genetic improvement; early selection; genetic variability; genetic correlation; forest species

		Genetic parameters
E*	Traits	$h_{a}^{2}$	$h_{m}^{2}$	$h_{w}^{2}$	${A C}_{{(h}_{a}^{2})}$	${A C}_{(h_{m}^{2})}$	${C V}_{g i}$	${C V}_{g p}$	${C V}_{e}$	$\hat{b}$	$\bar{x}$
Laboratory	GERP	0.78	0.91	0.89	0.88	0.96	21.76	10.88	6.69	1.63	93.58
	IGSP	0.90	0.94	0.92	0.95	0.97	29.95	14.98	7.76	1.93	5.75
	MGTP	0.91	0.91	0.89	0.96	0.96	11.37	5.68	3.49	1.63	4.17
	TLP	0.73	0.89	0.86	0.86	0.94	18.65	9.32	6.63	1.41	11.73
	TDMP	0.96	0.97	0.96	0.98	0.98	34.09	17.05	6.04	2.82	34.45
	VIGP	0.57	0.97	0.96	0.76	0.98	24.06	12.03	4.29	2.80	666.6
Nursery	HEIS	0.27	0.72	0.32	0.52	0.85	10.27	5.14	14.22	0.36	26.57
	CDS	0.51	0.87	0.52	0.72	0.93	11.33	5.67	9.76	0.58	5.72
	NLS	0.39	0.85	0.35	0.62	0.92	9.01	4.50	8.57	0.53	8.44
	DMAPS	0.48	0.85	0.55	0.70	0.92	18.99	9.50	18.13	0.52	4.46
	DMRS	0.46	0.85	0.50	0.68	0.92	29.09	14.55	27.72	0.52	1.28
	RHCDS	0.24	0.73	0.25	0.49	0.86	11.26	5.63	15.24	0.37	4.75
	HDMAPS	0.29	0.79	0.27	0.54	0.89	21.83	10.92	25.05	0.44	6.46
	TDMS	0.50	0.85	0.58	0.71	0.92	19.78	9.89	18.63	0.53	5.75
	DQIS	0.44	0.84	0.47	0.67	0.92	27.11	13.55	26.34	0.51	0.72
Field	HEIF_34	0.11	0.37	0.09	0.34	0.61	6.77	3.39	19.80	0.17	3.04
	DGLF_34	0.20	0.51	0.16	0.45	0.71	9.78	4.89	21.39	0.23	63.52
	SURF_34	0.19	0.50	0.15	0.43	0.70	31.59	15.79	71.34	0.22	0.64
	HEIF_60	0.10	0.21	0.08	0.32	0.46	4.58	2.29	13.98	0.16	4.76
	DGLF_60	0.14	0.26	0.11	0.37	0.51	7.84	3.92	20.69	0.19	11.80
	SURF_60	0.11	0.22	0.08	0.33	0.47	24.65	12.32	73.62	0.17	0.63

Test environment	Selection intensity (%)
	25				50				75
	34 months		60 months		34 months		60 months		34 months		60 months
	HEI	DGL	HEI	DGL	HEI	DGL	HEI	DGL	HEI	DGL	HEI	DGL
Laboratory-Nursery-Field	16.67	8.33	0.00	8.33	43.48	30.43	39.13	34.78	73.53	61.76	67.65	61.76
Laboratory - Nursery	25.00				56.52				79.41
Laboratory - Field	33.33	33.33	8.33	33.33	69.57	52.17	56.52	52.17	85.29	79.41	79.41	76.47
Field - Nursery	41.67	33.33	33.33	41,67	56.52	47.83	65.22	56.52	85.29	82.35	82.35	79.41
Field- Field	75.00				82.60				82.35

Crop Breeding and Applied Biotechnology Universidade Federal de Viçosa, Departamento de Fitotecnia, 36570-000 Viçosa - Minas Gerais/Brasil, Tel.: (55 31)3899-2611, Fax: (55 31)3899-2611 - Viçosa - MG - Brazil
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[1] ^* E-mail: dandara.bonfim@unesp.br