Molecular characterization of two inbred-lines population of Psidium guajava L.
ABSTRACT Guava, prized for its economic potential, is grown across Brazil. Addressing the challenge of limited cultivars, the Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF) launched a program to select promising genotypes, aiming to introduce new high-quality cultivars in the north a...
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Universidade de São Paulo
2025-03-01
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| Series: | Scientia Agricola |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162025000101103&lng=en&tlng=en |
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| author | Nilmária Natália Veras Reis Alexandre Pio Viana Flavia Alves da Silva Alex Souza Rodrigues Eileen Azevedo Santos |
| author_facet | Nilmária Natália Veras Reis Alexandre Pio Viana Flavia Alves da Silva Alex Souza Rodrigues Eileen Azevedo Santos |
| author_sort | Nilmária Natália Veras Reis |
| collection | DOAJ |
| description | ABSTRACT Guava, prized for its economic potential, is grown across Brazil. Addressing the challenge of limited cultivars, the Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF) launched a program to select promising genotypes, aiming to introduce new high-quality cultivars in the north and northwest Rio de Janeiro state. This study uses microsatellite markers to identify divergent genotypes for future crosses to assess the genetic diversity of guava genotypes from the first and second self-fertilization (S1 and S2) populations. From S1, 94 genotypes, and S2, 98 genotypes were selected across ten inbred lines based on morpho-agronomic traits. The molecular characterization utilized 21 polymorphic microsatellite markers to assess genetic parameters, calculate distances, analyze clustering, and determine the structure of each population. In S1, the average number of alleles (NA) per locus was 2.57, with higher expected heterozygosity (He) than observed heterozygosity (Ho), indicating more homozygous alleles. Unweighted Pair-Group Method with Arithmetic Mean (UPGMA) clustering formed five distinct groups, with Bayesian analysis identifying two groups. S2 had 2.23 alleles per locus, with lower genetic variability and four UPGMA groups. Simple sequence repeat (SSR) markers effectively discriminate genetic variability, which promotes guava breeding. Bayesian inference delineated clear genotype structures in both populations, highlighting potential advancements in breeding these inbred lines. |
| format | Article |
| id | doaj-art-630c47bd28584b8d9bb3a910fd676c3e |
| institution | DOAJ |
| issn | 1678-992X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Universidade de São Paulo |
| record_format | Article |
| series | Scientia Agricola |
| spelling | doaj-art-630c47bd28584b8d9bb3a910fd676c3e2025-08-20T03:01:50ZengUniversidade de São PauloScientia Agricola1678-992X2025-03-018210.1590/1678-992x-2024-0173Molecular characterization of two inbred-lines population of Psidium guajava L.Nilmária Natália Veras Reishttps://orcid.org/0000-0001-5649-5426Alexandre Pio Vianahttps://orcid.org/0000-0002-2475-4910Flavia Alves da Silvahttps://orcid.org/0000-0001-7818-707XAlex Souza Rodrigueshttps://orcid.org/0000-0003-4040-5654Eileen Azevedo Santoshttps://orcid.org/0000-0001-8336-9839ABSTRACT Guava, prized for its economic potential, is grown across Brazil. Addressing the challenge of limited cultivars, the Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF) launched a program to select promising genotypes, aiming to introduce new high-quality cultivars in the north and northwest Rio de Janeiro state. This study uses microsatellite markers to identify divergent genotypes for future crosses to assess the genetic diversity of guava genotypes from the first and second self-fertilization (S1 and S2) populations. From S1, 94 genotypes, and S2, 98 genotypes were selected across ten inbred lines based on morpho-agronomic traits. The molecular characterization utilized 21 polymorphic microsatellite markers to assess genetic parameters, calculate distances, analyze clustering, and determine the structure of each population. In S1, the average number of alleles (NA) per locus was 2.57, with higher expected heterozygosity (He) than observed heterozygosity (Ho), indicating more homozygous alleles. Unweighted Pair-Group Method with Arithmetic Mean (UPGMA) clustering formed five distinct groups, with Bayesian analysis identifying two groups. S2 had 2.23 alleles per locus, with lower genetic variability and four UPGMA groups. Simple sequence repeat (SSR) markers effectively discriminate genetic variability, which promotes guava breeding. Bayesian inference delineated clear genotype structures in both populations, highlighting potential advancements in breeding these inbred lines.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162025000101103&lng=en&tlng=enSSR markersgenetic diversityinbreeding |
| spellingShingle | Nilmária Natália Veras Reis Alexandre Pio Viana Flavia Alves da Silva Alex Souza Rodrigues Eileen Azevedo Santos Molecular characterization of two inbred-lines population of Psidium guajava L. Scientia Agricola SSR markers genetic diversity inbreeding |
| title | Molecular characterization of two inbred-lines population of Psidium guajava L. |
| title_full | Molecular characterization of two inbred-lines population of Psidium guajava L. |
| title_fullStr | Molecular characterization of two inbred-lines population of Psidium guajava L. |
| title_full_unstemmed | Molecular characterization of two inbred-lines population of Psidium guajava L. |
| title_short | Molecular characterization of two inbred-lines population of Psidium guajava L. |
| title_sort | molecular characterization of two inbred lines population of psidium guajava l |
| topic | SSR markers genetic diversity inbreeding |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162025000101103&lng=en&tlng=en |
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