DIRECT AND INDIRECT GENETIC GAINS FOR GROWTH AND REPRODUCTIVE TRAITS IN Inga edulis
DOI:
https://doi.org/10.24278/rif.2026.38e990Keywords:
Genetic variability, Heritability, Forest breeding, Agroforestry, Aguaytia basinAbstract
In this study parameters, correlations, and expected direct (DGg%) e indiretos (IGg%) genetic gains from mass selection and selection among progenies were estimated for growth, crown architecture, and reproductive traits in 105 open-pollinated Inga edulis progenies, 18 months old, established at three sites in the Peruvian Amazon, aiming at the simultaneous selection of multiple traits. Significant differences were detected among progenies for most traits within sites and joint sites. The estimation of narrow-sense heritabilities, mean-progeny heritability, and additive within progeny heritability showed that the traits are under genetic control and can be improved by mass selection or selection among progenies. The genotype-environment interaction was low for all traits, showing that selection can be carried out in only one of the site. The estimated genetic parameters were generally higher at site 1, indicating this site as more suitable for selection. The estimated genetic parameters were higher for diameter at breast height (D) in the joint site analysis, suggesting this trait as more suitable for direct selection. Genetic correlations were significantly greater than zero between D and the traits height, crown diameter, and fruit length, demonstrating that simultaneous genetic improvement of multiple traits is possible through direct selection for D. The greatest direct (DGg%) e indirect (IGg%) genetic gains were obtained through among and within progeny selection. The results show that crown architecture and reproductive traits can respond well to indirect selection based on direct selection for D.
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Aguiar BI, Freitas MLM, Tavares YR, Tambarussi EV, Zanatto B, Gandara FB, Paludeto JGZ, Silva DYBO, Silva JR, Moraes MT, Longui ED, Zanatto ACS, Sebbenn AM. 2019. Genetic control of silvicultural traits in Balfourodendron riedelianum (Engl.) Engl. Silvae Genetica 68: 73-78.
Asigbaase M, Dawoe E, Abugre S, Kyereh B, Nsor CA. 2023. Allometric relationships between stem diameter, height and crown area of associated trees of cocoa agroforests of Ghana. Scientific Report 13: 14897.
Azevedo ACM, Coutinho AD, Castro DB, Oliveira AL, Bleich ME. 2015. Desenvolvimiento inicial de inga-cipó (Inga edulis M.) em zona ripária degradada. Cáceres 2(1): 115-119.
Carvalho JEU. 2014. Fruteiras da Amazônia: características, propriedades e usos, Ingá-Cipó Inga edulis (4. ed., 2ª reimpressão). Belém, PA: Embrapa Amazônia Oriental. vol. 5, p. 299-305. https://www.alice.cnptia.embrapa.br/alice/handle/doc/1140499
Chávez JMR, Sebben A. 2024. Genetic control of quantitative and qualitative traits of Calycophyllum spruceanum in the Peruvian Amazon. Crop Breeding and Applied Biotechnology 24: e47262419.
Cros D, Mbo-Nkoulou L, Bell JM, Oum J, Masson A, Soumahoro M, Tran DM, Achour Z, Le Guen V, Clement-Demange A. 2019. Within-family genomic selection in rubber tree (Hevea brasiliensis) increases genetic gain for rubber production. Industrial Crops and Products 138: 111464.
Cruz CD, Regazzi AJ. 1997. Modelos biométricos aplicados ao melhoramento genético. Viçosa: UFV. 390p.
Ekasari I, Kurnia R. 2023. Relationship between tree height–diameter at breast height (DBH) and crown diameter–DBH of fruit trees in Bogor Botanical Gardens. BIO Web of Conferences 80: 03015.
Falcão MA, Clement RC. 2000. Fenologia e produtividade do ingá cipó (Inga edulis) na Amazonia central. Acta Amazonica 30: 173-180.
Falconer D, Mackay T. 1996. Introduction to quantitative genetics. 4th edn. Longman: New York. 464 p.
Farias CBM, Ramos LPN, Leite DM, Macedo WA, Prestes ZMSR, Pimenta N, Paz JR, Karsburg IV. 2020. Estudo biométrico de Inga laurina (Sw.) Willd. da região do estado de Mato Grosso. Scientific Electronic Archives 13(10): 9-12.
Garcia CC, Reis MGF, Reis GG, Pezzopane JEM, Lopes HNS, Ramos DC. 2011. Regeneração natural de espécies arbóreas em fragmento de Floresta Estacional Semidecidual montana, no domínio da Mata Atlântica, em Viçosa, MG. Ciência Florestal 21: 677-688.
Grattapaglia D, Silva-Junior OB, Resende RT, Cappa EP, Müller BSF, Tan B, Isik F, Blaise Ratcliffe B, El-Kassaby YA. 2018. Quantitative genetics and genomics converge to accelerate forest tree breeding. Frontiers in Plant Science 9: 1693.
He Z-H, Xiao Y, LV Y-W, Yeh FC, Wang X, Hu X-S. 2023. Prediction of genetic gains from selection in tree breeding. Forests 14(3): 520.
Java Iberico AM. 2024. Carbono almacenado en suelo y necromasa de árboles de Inga edulis en varillal seco, Nina Rumi, Loreto-Perú. Tesis de licenciatura, Universidad Nacional de la Amazonía Peruana. https://hdl.handle.net/20.500.12737/10023
Lojka B, Dumas L, Preininger D, Polesny Z, Banout J. 2020. Agroforestry potential of Inga edulis in Amazonian farming systems. Journal of Agroecology 15: 211-226.
Lojka B, Rollo A, Polesny Z, Preininger D. 2023. Participatory tree domestication and sustainable agroforestry in the Amazon Basin. Agroforestry Systems 97: 1-18.
Longui EL, Lima IL, Vieira WL, Ranzini M, Machado JAR, Freitas MLM, Ballarin AW, Sebbenn AM. 2025. Inheritance and genetic correlations for Corymbia citriodora wood property traits. Crop Breeding and Applied Biotechnology 25: e519725313.
Macedo HR, Freitas MLM, Boa OV, Sebbenn AM. 2015. Variabilidade genética em progênies de Pinus caribaea var. hondurensis aos 21 anos de idade. Revista do Instituto Florestal 27(1): 31-39.
Marrugo S. 2019. Inga edulis. IUCN 2019. Lista vermelha de espécies ameaçadas da IUCN. e.T137640618A137641217.
Ocaña Zuñiga CL, Alarcon Guevara CE, Quispe Bances E. 2023. Caracterización técnica y económica de sistemas agroforestales con Inga edulis y Cordia alliodora en Jaén-Cajamarca. Universidad Nacional de Jaén. https://repositorio.unj.edu.pe/handle/UNJ/563.
Oliveira Junior JC, Pupin S, Zulian DF, Zaruma DUG, Sebbenn AM, Moraes MLT. 2025. Early selection in a second-generation progeny trial of Eucalyptus urophylla S.T.Blake. Crop Breeding and Applied Biotechnology 25: e519825310.
Paredes-Villanueva K, de Groot GA, Laros I, Bovensschen J, Bongers F, Zuidema P. 2019. Genetic differences among Cedrela odorata sites in Bolivia provide limited potential for fine-scale timber tracing. Tree Genetics & Genomes 15: 33.
Pennington TD. 1997. The Genus Inga: Botany; Royal Botanic Gardens. Kew: London, UK. 854 p.
Pérez Peña JE. 2022. Captura de carbono en plantaciones de Inga edulis en suelos ex cocales en Tingo María. Tesis de maestría, Universidad Nacional Agraria de la Selva. https://hdl.handle.net/20.500.14292/2701
Prance GT, Silva MF. 1975. Árvores de Manaus. Manaus: Inpa. 312 p.
Que Q, Li C, Li B, Song H, Li P, Pian R, Li H, Chen X, Ouyang K. 2021. Multi-Level genetic variation and selection strategy of Neolamarckia cadamba in Successive Years. Forests 12: 1455.
Resende MDV. 2016. Software Selegen–REML/BLUP: a useful tool for plant breeding. Crop Breeding and Applied Biotechnology 16: 330-339.
Revilla-Chávez JM, López-Galán EE, Gonzales-Alvarado AC, Sáenz-Ramírez LH, Mori-Vásquez JÁ, Rojas-Mego KC, Abanto-Rodríguez C, Sebbenn AM. 2023. Methodology for the phenotypic evaluation in Guazuma crinita trees in Ucayali, Peru. Ciência Florestal 33(4): e71675.
Revilla-Chávez JM, Moraes MA, Pinchi-Ramirez MH, Sebbenn AM. 2022. Productivity, adaptability, and stability in Guazuma crinita progeny tests across three environments in the Aguaytia River Basin, Ucayali, Perú. Silvae Genetica 71: 72-80.
Ribeiro RJ, Higuchi N, Santos J, Azevedo CP. 1999. Estudo fitossociológico nas regiões de Carajás e Marabá - Pará, Brasil. Acta Amazonica 29: 207-223.
Richards TJ, Karacic A, Apuli RP, Weih M, Ingvarsson PK, Rönnberg-Wästljung AC. 2020. Quantitative genetic architecture of adaptive phenology traits in the deciduous tree, Populus trichocarpa (Torr. and Gray). Heredity 125: 449-458.
Rollo A, Lojka B, Honys D, Mandák B, Wong JAC, Santos C, Costa R, Quintela-Sabarís C, Ribeiro MM. 2016. Genetic diversity and hybridization in the two species Inga ingoides and Inga edulis: potential applications for agroforestry in the Peruvian Amazon. Annals of Forest Science 73: 425-435.
Rollo A, Ribeiro MM, Clavo PZM, Costa RL, Mandák B, Kalousová M, Chuqulin E, Torres SG, Santos C, Vebrová H, Aguilar RMV, Hlavsa T, Lojka B. 2020. Genetic structure and pod morphology of Inga edulis cultivated vs. wild populations from the Peruvian Amazon. Forests 11: 655.
Romanelli RC, Sebbenn AM. 2004. Parâmetros genéticos e ganhos na seleção para produção de resina em Pinus elliottii var. elliottii, no Sul do Estado de São Paulo. Revista do Instituto Florestal 16(1): 11-23.
Sebbenn AM, Freitas MLM, Zanatto ACS, Moraes E. 2009. Seleção dentro de progênies de polinização aberta de Cariniana legalis Mart. O. Ktze (Lecythidaceae), visando à produção de sementes para recuperação ambiental. Revista do Instituto Florestal 21: 27-37.
Simons AJ, Leakey RRB. 2016. Tree domestication in tropical agroforestry. Agroforestry Systems 90: 745-759.
Souza BM, Aguiar AV, Dambrat HM, Galucha SC, Tambarussi EV, Sestrem MSCS, Tomigian DS, Freitas MLM, Venson I, Torres-Dini D, Longui EL. 2022. Effects of previous land use on genotype-by-environment interactions in two loblolly pine progeny tests. Forest Ecology and Management 503: 119762.
Takahashi R, Todo Y, Kamei K. 2019. Impact of agroforestry on soil fertility in the Amazon: A meta-analysis. Ecological Economics 159: 198-208.
Torres-Dini D, Sebbenn AM, Aguiar AV, Vargas A, Rachid-Casnati C, Resquin F. 2024. Progeny Selection and Genetic diversity in a Pinus taeda clonal seed orchard. Forests 15: 1682.
Wu S, Xu J, Li G, Lu Z, Han C, Hu Y, Hu X. 2013. Genetic variation and genetic gain in growth traits, stem-branch characteristics and wood properties and their relationships to Eucalyptus urophylla clones. Silvae Genetica 62: 4-5.
Zulian DF, Souza BM, Gonzalez D, Cambuim J, Silva AM, Alves PF, Lopes MTG, Moraes MLT, Aguiar AV. 2024. de. Métodos de seleção para otimizar o ganho e a diversidade genética em Pinus caribaea var. caribaea. Crop Breeding and Applied Biotechnology 24(3): e47742436.
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