1. bookVolume 65 (2016): Issue 1 (December 2016)
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2509-8934
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22 Feb 2016
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English
access type Open Access

Adaptability, stability, productivity and genetic parameters in slash pine second-generation families in early age

Published Online: 12 Jun 2017
Volume & Issue: Volume 65 (2016) - Issue 1 (December 2016)
Page range: 71 - 82
Journal Details
License
Format
Journal
eISSN
2509-8934
First Published
22 Feb 2016
Publication timeframe
1 time per year
Languages
English
Abstract

The study was conducted to estimate the stability, adaptability, productivity and genetic parameters in Slash pine second-generation half-sib families, considering phenotypic traits in early age. Forty-four families from a first generation seed orchard in Colombo-PR, Brazil, were used in this study. Two progenies tests were established in a randomized complete block design. The first test was implemented in March 2009 in Ribeirão Branco, São Paulo state, containing 40 blocks, one tree per plot, 44 treatments (progenies) and 6 controls. Another test was implemented in Ponta Grossa, Paraná state, using the same experimental design and number of plants per plot, and with 24 treatments, 32 blocks. The growth traits evaluated were total height, diameter at breast height (dbh) and wood volume, within five years. The form traits evaluated were stem form, branch thickness, branch angle, number of branches, fork and fox tail five years after planting. Deviance analysis and estimates of stability, adaptability, productivity and genetic parameters were performed using the methods of best linear unbiased predictor (BLUP) and residual maximum likelihood (REML). There was significant variation among progenies for growth and form traits. Considerable genetic variation was detected mainly for wood volume. High coefficients of genetic variation and heritability showed low environmental influence on phenotypic variation, which is important for the prediction of genetic gain by selection. Crosses between different progenies individuals groups will be prioritized for obtaining heterotics genotypes and increase the probability of obtaining high specific combining ability.

Keywords

Adams WT, BASTIEN JC (1994) Genetics of second flushing in a French plantation of coastal Douglas-fir. Silvae Genetica 43 (5):345-352.Search in Google Scholar

Aguiar AV, Souza VA, Shimizu JY (2010) Seleção genética de progênies de Pinus greggii para formação de pomares de sementes. Pesquisa Agropecuária Brasileira 30 (62): 107-117. Available at https://doi.org/10.4336/2010.pfb.30.62.10710.4336/2010.pfb.30.62.107Search in Google Scholar

Arregui A, Espinel S, Aragonés A, Grado RS (1999) Estimación de prámetros genéticos em um ensayo de progenies de Pinus radiata D. Don en el País Vasco. Investigacíon Agraria: Sistemas y Recursos Forestales 8 (1): 119-128.Search in Google Scholar

Alwala S, Kwolek T, McPherson M, Pellow J, Meyer D (2010) Comprehensive comparison between Eberhart and Russell joint regression and GGE biplot analyses to identify stable and high yielding maize hybrids. Field Crops Research 119 (2): 225-230. Available at https://doi.org/10.1016/j.fcr.2010.07.01010.1016/j.fcr.2010.07.010Search in Google Scholar

Atwood RA, White TL, Huber D A (2002) Genetic parameters and gain for growth and wood properties in Florida source loblolly pine in the southeastern United State. Canadian Journal of Forest Research 32 (5): 1025-1038. Available at https://doi.org/10.1139/x02-02510.1139/x02-025Search in Google Scholar

Baltunis BS, Brawner JT (2010) Clonal stability in Pinus radiata across New Zealand and Australia. I. Growth and form traits. New Forests 40 (3): 305-322. Available at https://doi.org/10.1007/s11056-010-9201-410.1007/s11056-010-9201-4Search in Google Scholar

Carbonell SAM, Chiorato AF, Resende MDV, Dias LAS, Beraldo ALA, Perina EF (2007) Estabilidade em cultivares e linhagens de feijoeiro e diferentes ambientes no estado de São Paulo. Bragantia 66 (2): 193-201.10.1590/S0006-87052007000200003Search in Google Scholar

Codesido V, Fernández-López J (2008) Juvenile genetic parameter estimates for vigour, stem form, branching habit and survival in three radiate pine (Pinus radiate D. Don) progeny test in Galicia, NW Spain. European Journal of Forest Research 127 (4): 315-325. Available at https://doi.org/10.1007/s10342-008-0207-910.1007/s10342-008-0207-9Search in Google Scholar

Cotterill PP, Zed PG (1980) Estimates of genetic parameters for growth and form traits in four Pinus radiata D. Don progeny tests in South Australia. Australia Forest Research 10 (2): 155-167.Search in Google Scholar

Cruz CD (2006) Programa Genes: Análise Multivariada e Simulação. Viçosa: UFV, 175 p, ISBN 13:9788572692489.Search in Google Scholar

Cruz CD. Regazzi AJ, Carneiro PCS (2004) Modelos biométricos aplicados ao melhoramento genético. Viçosa: UFV, 514 p, ISBN 13:9788572694339.Search in Google Scholar

Cumbie WP, Isik FT, Mckeand SE (2012) Genetic improvement of saw timber potential in loblolly pine. Forest Science 58 (2): 168-177. Available at https://doi.org/10.5849/forsci.09-06010.5849/forsci.09-060Search in Google Scholar

Dieters MJ (1996) Genetic parameters for slash pine (Pinus elliottii) grown in south-east Queensland, Australia: Growth, steam straightness and crown defects. Forest Genetics 3 (1): 27-36.Search in Google Scholar

Dieters MJ, White TL, Hodge GR (1995) Genetic parameter estimates for volume from full-sib testes of slash pine (Pinus elliottii). Canadian Journal of Forest Research 25 (5): 1397-1408. Available at https://doi.org/10.1139/x95-15210.1139/x95-152Search in Google Scholar

Dorman KW, Squillace AE (1974) Genetics of slash pine. USDA Forest Service Research Paper 20 (1): 01-20. Available at https://doi.org/10.5962/bhl.title.8784110.5962/bhl.title.87841Search in Google Scholar

Espinel S, Aragonés A (1997) Genetic parameters for Pinus radiata D.Don in Basque Country. New Zealand Journal Forest Science 27 (3): 272–279.Search in Google Scholar

Ettori LC (2004) Variação genética em procedências e progênies mexicanas de Pinus maximinoi. Revista do Instituto Florestal 16 (1): 01-09.Search in Google Scholar

Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics. London: Longman Group Ltd., 464 p, ISBN 0582243025.Search in Google Scholar

Freitas MLM, Zanatto ACS, Morais E, Lemos SV, Fernandes AC, Sebbenn AM (2005) Estimativa de parâmetros genéticos e ganhos na seleção em Pinus caribaea var. bahamensis, aos 22 anos de idade. Revista do Instituto Florestal 17 (1): 103-111.Search in Google Scholar

Fries A (2012) Genetic parameters, genetic gain and correlated responses in growth, fibre dimensions and wood density in a scots pine breeding population. Annals of Forest Science 69 (1): 783-794. Available at https://doi.org/10.1007/s13595-012-0202-710.1007/s13595-012-0202-7Search in Google Scholar

Gapare WJ, Ivković M, Dutkowski GW, Spencer DJ, Buxton P, Wu HX (2012) Genetic parameters and provenance variation of Pinus radiata D. Don. ‘Eldridge collection’ in Australia 1: growth and form traits. Tree Genetics & Genomes 8 (4): 391-407. Available at https://doi.org/10.1007/s11295-011-0449-410.1007/s11295-011-0449-4Search in Google Scholar

Gonçalves PS, Bortoletto N, Fonseca FS, Bataglia OC, Ortolani AA (1998) Early selection for growth vigor in rubber tree genotypes in northwestern São Paulo state (Brazil). Genetics and Molecular Biology 21(4): 620-630. Available at https://doi.org/10.1590/s1415-4757199800040001810.1590/S1415-47571998000400018Search in Google Scholar

Gonçalves PS, Bortoletto N, Martins ALM, Costa RB, Gallo PB (2003) Geno-type-environment interaction and phenotypic stability for girth growth and rubber yield of Hevea clones in São Paulo State, Brazil. Genetics and Molecular Biology 26 (4): 441-448. Available at https://doi.org/10.1590/s1415-4757200300040000710.1590/S1415-47572003000400007Search in Google Scholar

Gwaze DP (2009) Optimum selection age for height in shortleaf pine. New Forests 37 (1): 9-16. Available at https://doi.org/10.1007/s11056-008-9104-910.1007/s11056-008-9104-9Search in Google Scholar

Gwaze DP, Bridgwater FE (2002) Determining optimum selection age for diameter and height in loblolly pine (Pinus taeda). Forest Genetics 9 (2): 159-165.Search in Google Scholar

Gwaze D, Woolliams J, Kanowski PJ (1997) Genetic parameters for height and stem straightness in Pinus taeda L. in Zimbabwe. Forest Genetics 4 (2): 159-169.Search in Google Scholar

Hodge GR, White TL (1992) Genetic parameter estimates for growth traits at diferente ages in slash pine and some implications for breeding. Silvae Genetica 41 (5): 252-262.Search in Google Scholar

Jayawickrama KJS (2001) Genetic parameter estimates for radiata pine in New Zealand and New South Wales: a synthesis of results. Silvae Genetica 50 (2): 45–53.Search in Google Scholar

Lambeth CC (1980) Juvenile-mature correlations in Pinaceae and implications for early selection. Forest Science 26 (4): 571–580.Search in Google Scholar

Martinez DT, Resende MDV, Costa RB, Higa AR, Santos GA, Fier ISN (2012) Estudo da interação genótipo x ambiente em progênies de Pinus taeda por meio da análise de parâmetros genéticos. Revista Floresta 42 (3): 539-552. Available at https://doi.org/10.5380/rf.v42i3.2011510.5380/rf.v42i3.20115Search in Google Scholar

Martins-Corder MP, Mori ES, Kageyama PY, Lopes CR (1996) Estudo da variabilidade Isoenzimática em Eucalyptus urophylla S.T.Blake das Ilhas Flores. Revista do Instituto Instituto de Pesquisas e Estudos Florestais 50 (1): 43-49.Search in Google Scholar

Matheson A, Spencer DJ, Magnussen D (1994) Optimum age for selection in Pinus radiata using basal area under bark for age-age correlations. Silvae Genetica 43 (5): 352–357.Search in Google Scholar

Mckeand SE (1998) Optimum age for family selection for growth in genetic test of loblolly pine. Forest Science 34 (4): 400–411.Search in Google Scholar

Mckeand SE, Jokela EJ, Huber DA, Byram TD, Allen HL, Li B, Mullin TJ (2006) Performance of improved genotypes of loblolly pine across different soils, climates, and silvicultural inputs. Forest Ecology and Management 227 (4): 178-184. Available at https://doi.org/10.1016/j.foreco.2006.02.01610.1016/j.foreco.2006.02.016Search in Google Scholar

Miranda AC, Moraes MLT, Silva PHM, Sebbenn AM (2015) Ganhos de seleção pelo método do índice multi-efeitos em progênies polinização livre de Eucalyptus grandis Hill ex Maiden. Scientia Forestalis 43 (105): 01-07.Search in Google Scholar

Missanjo E, Kamanga-Thole G, Manda V (2013) Estimation of genetic and phenotypic parameters for growth traits in a clonal seed orchard of Pinus kesiya in Malawi. ISRN Forestry, 2013 (1): 1-6. Available at https://doi.org/10.1155/2013/34698210.1155/2013/346982Search in Google Scholar

Missio RF, Cambuim J, Moraes MLT, Paula RC (2004) Seleção simultânea de caracteres em progênies de Pinus caribaea Morelet var. bahamensis. Scientia Forestalis 66 (2): 161-168.Search in Google Scholar

Mulder HA, Veerkamp RF, Ducro BJ, Arendonk JA, Bijma P (2006) Optimization of dairy cattle breeding programs for different environments with genotypes by environment interaction. Journal Dairy Science 89 (5): 1740-1752. Available at https://doi.org/10.3168/jds.s0022-0302(06)72242-110.3168/jds.S0022-0302(06)72242-1Search in Google Scholar

Nanson A (1970) Juvenile and correlated trait selection and its effect on selection programs. In: Proceedings of Second Meeting of Working Group on Quantitative Genetics IUFRO, Louisina, pp. 17-25.Search in Google Scholar

Olsson T, Ericsson T (2002) Genetic Parameter Estimates of Growth and Survival of Pinus sylvestris with Mixed Model Multiple-trait Restricted Maximum Likelihood Analysis. Scandinavian Journal of Forest Research 17 (1): 103-110. Available at https://doi.org/10.1080/02827580275362674610.1080/028275802753626746Search in Google Scholar

Pereira AB, Marques Junior OG, Ramalho MAP, Althoff P (1997) Eficiência da seleção precoce em famílias de meios-irmãos de Eucalyptus camaldulensis Dehnh, avaliadas na região noroeste do estado de Minas Gerais. Cerne 3 (1): 67-81.Search in Google Scholar

Pimentel-Gomes F, Garcia CH (2002) Estatística aplicada a experimentos agronômicos e florestais: exposição com exemplos e orientações para uso de aplicativos. Piracicaba: FEALQ, 309 p, ISBN 85-7133-014-X.Search in Google Scholar

Pimentel FG (2000) Curso de estatística experimental. Piracicaba: FEALQ, 451 p, ISBN 978-85-7133-055-9.Search in Google Scholar

Pinto Júnior, JE, Sturion JA, Resende MDV, Ronzelli Júnior P (2006) Avaliação simultânea de produtividade, adaptabilidade e estabilidade genotípica de Eucalyptus grandis em distintos ambientes do estado de São Paulo. Boletim de Pesquisa Florestal 53 (1): 79-108.Search in Google Scholar

Pswarayi, IZ, Barnes RD, Birks JS, Kanowski PJ (1996) Genetic parameter estimate for production and quality traits of Pinus elliottii Engelm. var. elliottii in Zimbabwe. Silvae Genetica 45 (4): 216-222.Search in Google Scholar

Raymond CA (2011) Genotype by environment interactions for Pinus radiata in New Wales, Australia. Tree Genetics Genomes 7 (4): 819-833. Available at https://doi.org/10.1007/s11295-011-0376-410.1007/s11295-011-0376-4Search in Google Scholar

Resende MDV (2007b) Matemática e estatística na análise de experimento e no melhoramento genético. Colombo: Embrapa Florestas, 362 p, ISBN 9788589281157.Search in Google Scholar

Resende MDV (2007a) Software SELEGEM – REML/BLUP: sistema estatístico e seleção genética computadorizada via modelos lineares mistos. Colombo: Embrapa Florestas, 359 p, ISBN 9788589281164.Search in Google Scholar

Resende MDV, Araújo AJ, Sampaio PTB, Wiecheteck MDS (1995) Acurácia seletiva, intervalos de confiança e variâncias de ganhos genéticos associados a 22 métodos de seleção de Pinus caribaea var. hondurensis. Revista Floresta 25 (1): 03-16. Available at https://doi.org/10.5380/rf.v25i12.644410.5380/rf.v25i12.6444Search in Google Scholar

Resende MDV, Higa AR (1994) Maximização da eficiência da seleção em testes de progênies de Eucalyptus através da utilização de todos os efeitos do modelo matemático. Boletim de Pesquisa Florestal 29: 37-55.Search in Google Scholar

Riemenschneider DE (1988) Heritability, age-age correlations, and inferences regarding juvenile selection in jack pine. Forest Science 34 (4): 1076-1082.Search in Google Scholar

Roberds JH, Strom BL, Hain FP, Gwaze DP, Mckeand SE, Lott LH (2003) Estimates of genetic parameters for oleoresin and growth traits in juvenile loblolly pine. Canadian Journal of Forest Reearch 33 (5): 2469–2476. Available at https://doi.org/10.1139/x03-18610.1139/x03-186Search in Google Scholar

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.Search in Google Scholar

Sant’ana VZ, Freitas MLM, Moraes MLT, Zanata M, Zanatto ACS, Moraes MA, Sebbenn AM (2013) Parâmetros genéticos em progênies de polinização aberta de Enterolobium contortisiliquum (Vell.) Morong em Luiz Antonio, SP, Brasil. Hoehnea 40 (3): 515-520. Available at https://doi.org/10.1590/s2236-8906201300030001110.1590/S2236-89062013000300011Search in Google Scholar

Schultz RP (1997) Loblolly pine: the ecology and culture of loblolly pine (Pinus taeda L.). Washington: U.S. Department of Agriculture, Forest Service, 493 p.Search in Google Scholar

Sebbenn AM, Vilas Bôas O, Max JCM (2010) Altas herdabilidades e ganhos na seleção para caracteres de crescimento em teste de progênies de polinização aberta de Pinus elliottii Engelm var. elliottii aos 25 anos de idade em Assis–SP. Revista do Instituto Florestal 20 (2): 95-102.Search in Google Scholar

Sebbenn AM, Freitas MLM, Morais E, Zanatto ACS (2005) Variação genética em procedências e progênies de Pinus patula ssp. tecunumanii no noroeste do Estado de São. Revista do Instituto Florestal 17 (1): 01-15.Search in Google Scholar

Silva GAP, Gouvêa LRL, Verardi CK, Oliveira ALB, Goncalves PS (2014) Annual growth increment and stability of rubber yield in the tapping phase in rubber tree clones: Implications for early selection. Industrial Crops and Products 52 (4): 801-808. Available at https://doi.org/10.1016/j.ind-crop.2013.12.010Search in Google Scholar

Silva JM, Aguiar AV, Mori ES, Moraes MLT (2011) Variação genética e ganho esperado na seleção de progênies de Pinus caribaea var. caribaea em Selvíria, MS. Scientia Forestalis 39 (90): 241-252.Search in Google Scholar

Silva WCJ, Duarte JB (2006) Métodos estatísticos para estudo de adaptabilidade e estabilidade fenotípica em soja. Pesquisa Agropecuária Brasileira 41 (1): 23–30. Available at https://doi.org/10.1590/s0100-204x200600010000410.1590/S0100-204X2006000100004Search in Google Scholar

United States Department Of Agriculture – USDA (2016) Slash Pine. Pinus elliottii Engelm [on line]. United States of America, to be found at < http://plants.usda.gov/plantguide/pdf/pg_piel.pdf> [quoted, 01.10.2016].Search in Google Scholar

Weng YH, Lu P, Adams GW, Fullarton MS, Tosha KJ (2015) Genetic paramenters of growth and stem quality traits for jack pine second-generation progeny tested in New Brunswick. Canadian Journal of Forest Research 45 (1): 36-43. Available at https://doi.org/10.1139/cjfr-2014-010610.1139/cjfr-2014-0106Search in Google Scholar

White TL, Adams WT, Neale DB (2007) Forest genetics. Wallingford: CABI, 500 p, ISBN 978-0851993485. Available at https://doi.org/10.1079/9781845932855.000010.1079/9781845932855.0000Search in Google Scholar

Wu HX, Ivković M, Gapare WJ, McRae TA (2008) Breeding for wood quality and profit in radiate pine: a review of genetic parameters and implication for breeding and deployment. New Zealand Journal of Forest Science 38 (1): 56-87.Search in Google Scholar

Xiong JS, McKeand SE, Whetten RW, Isik FT (2014) Genetics of steam forking and ramicorn branches in a clonal loblolly pine family. Forest Science 60 (5): 360-366. Available at https://doi.org/10.5849/forsci.12-01810.5849/forsci.12-018Search in Google Scholar

Xiong JS, Isik FT, McKeand SE, Whetten RW (2010) Genetic variation of steam forking in loblolly pine. Forest Science 56 (5): 429-436.Search in Google Scholar

Yang H, Liu T, Liu C, Wang J, Chen K, Zhong W, Chen B, Huang S (2013) Genetic parameters and efficiency of early selection for half rotation-aged growth and form traits in Pinus taeda in China. Silvae Genetica 62 (6): 277-284.10.1515/sg-2013-0033Search in Google Scholar

Zeni Neto H, Oliveira RA, Daros E, Bespalhok Filho JC, Zambon JLC, Ido OT, Weber H (2008) Seleção para produtividade, estabilidade e adaptabilidade de clones de cana-de-açúcar em três ambientes no estado do Paraná via modelos mistos. Scientia Agraria 9 (4): 425-430. Available at https://doi.org/10.5380/rsa.v9i4.1247510.5380/rsa.v9i4.12475Search in Google Scholar

Zobel BJ (1961) Inheritance of wood properties in conifers. Silvae Gnetica, 10 (3): 67-70.Search in Google Scholar

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