Growth and adaptability of provinences and family-within-provenance of Pinus tecunumanii in Northern Mozambique

Authors

  • Cremildo Riba Gouveia Dias Instituto de Investigação Agraria de Moçambique, Portugal
  • Aires Afonso Mbanze Universidade Lúrio, Lisbon, Portugal

DOI:

https://doi.org/10.5965/223811711932020285

Keywords:

adaptability, growth, precedencies and progenies trial, Pinus tecunumanii and phenotypic selection

Abstract

The goal of company’s forest is to maximize revenues, while minimizing risk and uncertainty. One key strategy to achieve this objective is planting fast-growing and high-yield forest stands. Thus, the Company Florestas do Niassa, operating in Niassa Province, established an experiment trial of five provenances and 28 family-within-provenances of P. Tecunumanii Eguiluz & Perry in northern Mozambique. The experiment was established in Randomized Complete Blocks Design with four lines of replications. Total height, the Diameter at Breast Height (DBH) and survival were assessed at two, four, and eight years. Survival was not significantly different at 8 years and it was above 90% for all provenances, including the control. There were significant growth differences between provenance for the rest of parameters evaluated. The proveniences that best performed at eight years, were Villa Santa, San Rafael del Norte and Yucul. Cluster method used to breakdown the provenances between progenies was useful to identified three distinct groups of progenies: The first, consisted to 12 (41.38%) of the best performing progenies, mostly from Villa Santa and Yucul; the second which was intermediate was composed with seven (24.14%) progenies mostly Yucul and Km 33; The latter consisted of 10 (34.4%) of the worse performing progenies, mostly San Jeronimo and Km 33. Most of the top 10 progenies ranked on the basis of predicted additive genetic effect and genetic gain, belonged to the providence Villa Santa, which was in accordance to the previous clusters results. Most of the progenies (45%) at the level of the 20 best classified individuals also belonged to Villa Santa and can be used for future tree breeding programmes in the environment of Niassa. The selection of the best progenies can be done through DBH, since it had a correlation coefficient above 90% with the volume.

Downloads

Download data is not yet available.

Author Biographies

Cremildo Riba Gouveia Dias, Instituto de Investigação Agraria de Moçambique, Portugal

Instituto de Investigação Agraria de Moçambique - Centro zonal Noroeste.Instituto Politécnico de Bragança, Escola Superior Agrária, Campus Sta. Apolónia, P.O. Box, 5300-253 Bragança, Portugal

Aires Afonso Mbanze, Universidade Lúrio, Lisbon, Portugal

Universidade Lúrio, Faculdade de Ciências Agrárias, Departamento de Ambiente e Conservação da Natureza, Campus Universitário de Unango, Distrito de Sanga, MoçambiqueUniversidade de Lisboa, Instituto Superior de Agronomia (ISA), Centro de Estudos Florestais (CEF), Tapada da Ajuda, P.O. Box, 1349-017, Lisboa, PortugalNova School of Business and Economics, Universidade Nova de Lisboa, Campus de Carcavelos, Holanda street 1, P.O. Box. 2775-405, Lisbon, Portugal

References

AGUIAR A et al. 2011. Programa de melhoramento de pinus da Embrapa Florestas. Colombo: Embrapa. p.21.

BRAWNER JT et al. 2014. Visualising the environmental preferences of Pinus tecunumanii populations. Tree Genetics and Genomes 10: 1123-1133.

BURDON RD. 1998. Relative performance values in genetic tests: Alternatives and their properties. Silvae Genetica 47: 1-5.

CARPENTER FL et al. 2004. Early growth of native and exotic trees planted on degraded tropical pasture. Forest Ecology and Management 196: 367-378.

CERDA-GRANADOS D & DÍAZ V. 2013. Optimizacion de un protocolo de extraccion de ADN genómico para Pinus tecunumanii 94: 82-92.

CRUZ CD. 2012. Princípios de genética quantitativa. 2.ed. Viçosa: UFV. 394p.

DE SOUZA FB et al. 2016. Selection of Pinus species and provenances for Assis region, State of São Paulo. Scientia Forestalis/Forest Sciences 44: 675-682.

DVORAK WS et al. 1993. Genetic and site effects on stem breakage in Pinus tecunumanii. New Forests 7: 237-253.

EGUILUZ-PIEDRA T & PERRY J. 1983. Pinus Tecunumanii: Una Especie Nueva de Guatemala. Revista Ciencia Florestal 8: 1-20.

GAPARE W et al. 2001. Genetic Parameters And Provenance Variation Of P. maximinoi in Brazil, Colombia And South Africa. Forest Genetics 8: 160-165.

HODGE G & DVORAK W. 1999. Genetic Parameters And Provenance Variation Of P. tecunumanii in 78 International Trials. Forest Genetics 6: 161-173.

HONGWANE PC et al. 2017. Growth and dynamic modulus of elasticity of Pinus patula × Pinus tecunumanii hybrids in Mpumalanga, South Africa. Southern Forests 79: 277-285.

INDE. 2009. Instituto Nacional do Desenvolvimento da Educação. Atlas de Moçambique. Maputo: Editora Nacional de Moçambique S.A.

INVUA S. 2014. Avaliaҫão da Influência da Preparacão do Solo no Desempenho Eucalyptus urograndis, no Distrito de Lichinga no Campo de Ensaio da Empresa Niassa Green Resources. Monografia (Licenceatura em Engenharia Florestal). Distrito de Sanga: UniLúrio. 58p.

KARIUKI JG. 1998. Provenance and family-within-provenance variation in Pinus patula, Pinus patula subspecies tecunumanii and Pinus oocarpa planted at Turbo, Kenya. Forest Ecology and Management 107: 127-133.

LANDRY J & CHIRWA PW. 2011. Analysis of the potential socio-economic impact of establishing plantation forestry on rural communities in Sanga district, Niassa province, Mozambique. Land Use Policy 28: 542-551.

LÓPEZ JL. 2014. Camcore Trip Report to Florestas de Niassa. North Carolina. 12p. (Documento).

MAE. 2014. Ministério da Administração Estatal. Perfil do Distrito de Chimbonila-Lichinga, Provincia de Niassa. Maputo: MAE. 68p.

MBANZE AA et al. 2015. Influence of the meteorological conditions on forest fires occurrences in Lichinga District, Northern Mozambique. Floresta 45: 577-586.

MBANZE AA et al. 2013. Assessment of causes that contribute to the occurrence of plantations forests fires in Niassa Province, North of Mozambique. African Journal of Agricultural Research 8: 5684-5691.

MINISTÉRIO DA AGRICULTURA. 2006. Estratégia National de Reflorestamento - Por um Desenvolvimento de Plantações Florestais Sustentáveis. (Documento para discussão) 22p.

MORA AL. 2002. Aumento da Produção de Sementes Geneticamente Melhoradas de Acacia mearnsii de Wild. (Acácia-negra) no Rio Grande do Sul. Tese (Doutorado em Engenharia Florestal). Curitiba: UFP. 161p.

MOREIRA JP. 2017. Produtividade, Estabilidade, Adaptabilidade e Diversidade Genética em Testes de Progênies de Pinus caribaea var. hondurensis e Pinus tecunumanii. Tese (Doutorado em Agronomia) Ilha Solteira: UNESP. 85p.

MUNTHALI CRY & STEWAR M. 1998. Growth of nine-year-old provenance and taxonomy trials of pinus tecunumanii at zomba and chongoni, Malawi. Southern African Forestry Journal 181: 13-19.

NHANTUMBO L. 2014. Avaliação do comportamento de diferentes proveniências de Corymbia citriodora aos 12 meses no Distrito de Lichinga. In: 3ª Jornadas científicas Moçambique: Universidade Lúrio.

NUBE TG et al. 2016. Impactos Socioeconômicos das Plantações Florestais no Niassa, Moçambique 23: 52-60.

NYOKA BI et al. 2010. Provenance productivity of high and low elevation Pinus tecunumanii in Zimbabwe. Silvae Genetica 59: 189-199.

OVERBEEK W. 2010. The Expansion of Tree Monocultures in Mozambique. Impacts on Local Peasant Communities in the Province of Niassa. Montevideo: WRM. 27p. (Series on tree plantations nº 14).

PIMENTAL GOMES F. 1990. Curso de Estatistica Experimental. 13.ed. São Paulo: ESALQ. 240p.

RESENDE MDV. 2014. Selegen Reml/Blup – Sistema Estatístico e Seleção Genética Computadorizada - Manual Complementar do Selegen-Reml/Blup. Viçosa: UFV. 17p.

RESENDE MDV. 2007. Matemática e estatística na análise de experimento e no melhoramento genético. Colombo: Embrapa Florestas. 561p.

SEUFERT P. 2012. The Human Rights Impacts of Tree Plantations in Niassa Province, Mozambique. Heidelberg: FIAN International. 44p.

SHIMANIKIRE T. 2011. Soil Assessment Report for areas Earmarked for Eucalyptus Production (2011/12) Lichinga - 1201 (Blocks A, B, C, E, F, G and O) and Massangulo - 2101 (Blocks J and L). Lichinga: Planning Department. 20p.

SHIMIZU JY. 2006. Pesquisa e desenvolvimento florestal em Moçambique. Colombo: Embrapa. 33p. (Documentos 131).

SILVA JM et al. 2011. Variação Genética e ganho esperado na seleção de progênies de Pinus caribaea var. caribaea em Selvíria, MS. Scientia Forestalis 39: 241-252.

VAN ZONNEVELD M et al. 2009. Climate change impact predictions on Pinus patula and Pinus tecunumanii populations in Mexico and Central America. Forest Ecology and Management 257: 1566-1576.

VIEIRA H & SHIMIZU JY. 1998. Avaliacão do potencial de produtividade de madeira de Pinus tecunumanii no sul de Rondônia. Porto Velho: EMBRAPA. 16p. (Boletim de Pesquisa 24).

ZANELLA LB et al. 2018. Micropropagation of Pinus tecunumanii. Ciência Florestal 28: 651-660.

Published

2020-09-30

How to Cite

DIAS, Cremildo Riba Gouveia; MBANZE, Aires Afonso. Growth and adaptability of provinences and family-within-provenance of Pinus tecunumanii in Northern Mozambique. Revista de Ciências Agroveterinárias, Lages, v. 19, n. 3, p. 285–298, 2020. DOI: 10.5965/223811711932020285. Disponível em: https://www.periodicos.udesc.br/index.php/agroveterinaria/article/view/16123. Acesso em: 31 oct. 2024.

Issue

Section

Research Article - Science of Plants and Derived Products

Most read articles by the same author(s)