Have a personal or library account? Click to login
Genotype x Environment interaction, stability, and adaptability in progenies of Eucalyptus urophylla S.T. BLAKE using the AMMI model Cover

Genotype x Environment interaction, stability, and adaptability in progenies of Eucalyptus urophylla S.T. BLAKE using the AMMI model

Open Access
|Jul 2018

References

  1. Adebola, P.O., Shegro, A., Laurie, S.M., Zulu, L.N., Pillay, M. (2013). Genotype x en­vironment interaction and yield stability estimate of some sweet potato ([Ipomoea batatas (L.) Lam] breeding lines in South Africa. Journal of Plant Breeding and Crop Science 5(9):182-186. http://dx.doi.org/10.5897/JPBCS2013.0387.10.5897/JPBCS2013.0387
  2. Akbarpour, O., Dehghani, H., Sorkhi, B., Gauch Jr., H.G. (2014). Evaluation of gen­otype x environment interaction in barley (Hordeum vulgare L.) based on AMMI model using developed SAS Program. Journal of Agricultural Science and Technology 16(4):909-920. http://jast.modares.ac.ir/article_10897.html.
  3. Akter, A., Hassan, J.M., Kulsum, U.M., Hossain, K., Rahman, M.M. (2014). AMMI Bi­plot analysis for stability of grain yield in hibrid rice (Oryza sativa L.). Rice Research: Open Access 2(2):1-4. http://dx.doi.org/10.4172/jrr.1000126.10.4172/jrr.1000126
  4. Assis, T.F., Muro Abad, J.I., Aguiar, A.M. (2015). Melhoramento genético do eu­calipto. In: Schumacher, M.V., Vieira, M. Silvicultura do eucalipto no Brasil. Santa Maria, Brazil: Editora UFSM, 308p. ISBN: 9788573912319.
  5. Chambel, M.R., Climent, L., Alía, R., Valladares, F. (2005). Phenotypic plasticity: a useful framework for understanding adaptation in forest species. Investi­gación agraria: Sistemas y recursos forestales 14(3):334-344. http://dx.doi.org/10.5424/srf/2005143-00924.10.5424/srf/2005143-00924
  6. Correia, I., Alía, R., Yan, W., David, T., Aguiar, A., Almeida, M. (2010). Genotype x Environment interactions in Pinus pinaster at age 10 in a multi-environ­ment trial in Portugal: a maximum likelihood approach. Annals of Forest Science 67(6):612-621. http://dx.doi.org/10.1051/forest/2010025.10.1051/forest/2010025
  7. Crossa, J. (2012). From genotype x environment interaction to gene x environ­ment interaction. Current Genomics 13(3):225-244. http://dx.doi.org/10.2174/138920212800543066.10.2174/138920212800543066338227723115524
  8. Crossa, J., Fox, P.N., Pfeifer, W.H., Rajaram, S., Gauch, H.G. (1991). AMMI adjust­ment for statistical analysis of an international wheat trial. Theoretical Ap­plied of Genetics 81(1):27-37. http://dx.doi.org/10.1007/BF00226108.10.1007/BF0022610824221155
  9. Duarte, J.B., Vencovsky, R. (1999). Interação genótipos x ambientes: uma intro­dução a análise AMMI. Ribeirão Preto, Brazil: Sociedade Brasileira de Genéti­ca (Séries Monografias nº 9), 60p.
  10. Fabio, E.S., Volk, T.A., Miller, R.O., Serapiglia, M.J., Gauch, H.G., Van Rees, K.C.J., Hangs, R.D., Amichev, B.Y., Kuzovkina, Y.A., Labrecque, M., Johnson, G.A., Ewy, R.G., Kling, G.J., Smart, L.B. (2017). Genotype x environment interaction analysis of North American shrub willow yield trials confirms superior per­formance of triploid hybrids. GCB Bioenergy 9(2):445-459. https://doi.org/10.1111/gcbb.12344.10.1111/gcbb.12344
  11. Funga, A., Tadesse, M., Eshete, M., Fikre, A., Korbu, L., Girma, N., Bekele, D., Mo­hamed, R., Bishaw, Z., Rao, G., Siambi, M., Monyo, E., Gaur, P., Ojiewo, C. (2017). Genotype by environment interaction on yield stability of desi type chickpea (Cicer arietinum L.) at major chickpea producing areas of Ethiopia. Australian Journal of Crop Science 11(2):212-219. http://dx.doi.org/10.21475/ajcs.17.11.02.p297.10.21475/ajcs.17.11.02.p297
  12. Gauch, H.G.J. (2006). Statistical analysis of yield trials by AMMI and GGE. Crop Science 46(4):1488-1500. http://dx.doi.org/doi: 10.2135/cropsci2005.07-0193.10.2135/cropsci2005.07-0193
  13. Gauch, H.G.J., Zobel, R.W. (1997). Identifying mega-environments and targeting genotypes. Crop Science 37:311-326. http://dx.doi.org/10.2135/cropsci1997.0011183X003700020002x.10.2135/cropsci1997.0011183X003700020002x
  14. Gollob, H.F. (1968). A statistical model which combines features of factor analyt­ic and analysis of variance techniques. Psychometrika 33(1):73-115. http://dx.doi.org/10.1007/BF02289676.10.1007/BF022896765239571
  15. Gonçalves, J.L.M., Alvares, C.A., Higa, A.R., Silva, L.D., Alfenas, A.C., Stahl, J., Ferraz, S.F.B., Lima, W.P., Brancalion, P.H.S., Hubner, A., Bouillet, J.P.D., Laclau, J.P., Nouvellon, Y., Epron, D. (2013). Integrating genetic and silvicultural strate­gies to minimize abiotic and biotic constraints in Brazilian eucalypt planta­tions. Forest Ecology and Management 301:6-27, 2013. http://dx.doi.org/101016/jforeco201212030.10.1016/j.foreco.2012.12.030
  16. Harwood, C. (2011). New introduction - doing right. In: Developing a eucalypt resource Learning from Australia and elsewhere. Ed J Walker Wood Technol­ogy Research Centre, University of Canterbury, Christchurch, New Zealand, 125-136.
  17. Hodge, G.R., Dvorak, W.S. (2015). Provenance variation and within- provenance genetic parameters in Eucalyptus urophylla across 125 test sites in Brazil, Colombia, Mexico, South Africa and Venezuela. Tree Genetics & Genomes 11(3):11-57. http://dx.doi.org/10.1007/s11295-015-0889-3.10.1007/s11295-015-0889-3
  18. Inmet. (2017). Instituto Nacional de Meteorologia [online] Banco de dados me­teorológicos para ensino e pesquisa. http://www.inmet.gov.br/portal/index.php?r=bdmep/bdmep.
  19. Ivković, M., Gapare, W., Yang, H., Dutkowski, G., Buxton, P., Wu, H. (2015). Pattern of genotype by environment interaction for radiate pine in southern Aus­tralia. Annals of Forest Science 72(3):391-401. http:// http://dx.doi.org/10.1007/s13595-014-0437-6.10.1007/s13595-014-0437-6
  20. Lemon, J. (2006). Plotrix: a package in the red light district of R. R-News, New York 6(4):8-12.
  21. Li, Y., Suontana, M., Burdon, R.D., Dungey, H.S. (2017). Genotype by environment interactions in forest tree breeding: review of methodology and perspec­tives on research and application. Tree Genetics & Genomes 13(60):1-18. https://doi.org/10.1007/s11295-017-1144-x.10.1007/s11295-017-1144-x
  22. Martinez, D.T., Resende, M.D.V., Costa, R.B., Higa, A.R., Santos, G.A.S., Fier, I.S.N. (2012). Study of the interaction genotype x environment in progenies of Pi­nus taeda by means of the analysis of genetic parameters. Floresta 42(3):539-552.10.5380/rf.v42i3.20115
  23. Melo, E.A.S.C.D., Gonçalves, J.L.M., Rocha, J.H.T., Hakamada, R.E., Bazani, J.H., Wenzel, A.V.A., Ferreira, E.V.D.O., Ferraz, A.V. (2015). Responses of clonal eu­calypt plantations to N, P and K fertilizer application in different edaphocli­matic conditions. Forests 7(2):1-15. https://doi.org/10.3390/f7010002.10.3390/f7010002
  24. Mendiburu, F. (2013). Agricolae: statistical procedures for agricultural research. [S.l.:s.n., 200-].
  25. Mitrovic, B., Stanisavljevi, D., Treski, S., Stojakovic, M., Ivanovic, M., Bekavac, G., Rajkovic, M. (2012). Evaluation of experimental maize hybrids tested in multi-location trial using AMMI and GGE biplot analysis. Turkish Journal of Field Crops 17(1):35-40.
  26. Mohammadi, R., Amri, A. (2011). Graphic analysis of trait relations and genotype evaluation in durum wheat. Journal of Crop Improvement 25(6):680-696. https://doi.org/10.1080/15427528.2011.601437.10.1080/15427528.2011.601437
  27. Mustapha, M., Bakari, H.R. (2014). Statistical evaluation of genotype by environ­ment interactions for grain yield in millet (Penniisetum glaucum (L.) R. Br.). The International Journal of Engineering and Science 3(9):7-16. http://www.theijes.com/papers/v3-i9/Version-1/B039107016.pdf.
  28. Namkoong, G., Snyder, E.B., Stonecypher, R. (1966). Heritability and gain con­cepts for evaluating breeding systems such as seedling orchards. Silvae Ge­netica 15:76-84. https://www.thuenen.de/media/institute/fg/PDF/Silvae_Genetica/1966/Vol._15_Heft_3/15_3_76.pdf
  29. Nunes, A.C.P., Santos, G.A., Resende, M.D.V., Silva, L.D., Higa, A., Assis, T.F. (2016). Estabelecimento de zonas de melhoramento para clones de eucalipto no Rio Grande do Sul. Scientia Forestalis 44(111):563-574. https://doi.org/10.18671/scifor.v44n111.03.10.18671/scifor.v44n111.03
  30. Oliveira, T.W.G., De Paula, R.C., Moraes, M.L.T., Alvares, C.A., Miranda, A.C., Silva, P.H.M. (2018). Stability and adaptability for wood volume in the selection of Eucalyptus saligna in three environments. Pesquisa Agropecuária Brasileira 55 (In Press).10.1590/s0100-204x2018000500010
  31. Pinto, D.S., Resende, R.T., Mesquita, A.G.G., Rosado, A.M., Cruz, C.D. (2014). Early selection in tests for growth traits of Eucalyptus urophylla clones test. Sci­entia Forestalis 42(102):251-257.
  32. Pupin, S., Santos, A.V.A., Zaruma, D.U.G., Miranda, A.C., Silva, P.H.M., Marino, C.L., Sebbenn, A.M., Moraes, M.L.T. (2015). Productivity, stability and adaptability in open pollination progenies of Eucalyptus urophylla S.T. Blake. Scientia Forestalis 43(105):127-134.
  33. Rao, P.S., Reddy, P.S., Rathore, A., Reddy, B.V.S., Panwar, S. (2011). Application GGE biplot and AMMI model to evaluate sweet sorghum (Sorghum bicolor) hy­brids for genotype x environment interaction and seasonal adaptation. In­dian Journal of Agricultural Sciences 81(5):438-444. https://core.ac.uk/download/pdf/12102139.pdf.
  34. R, Development Core Team. (2011). R: A Language and Environment for Statisti­cal Computing. Vienna, Austria: R Foundation for Statistical Computing. ISBN: 3900051070. http://www.R-project.org/.
  35. Resende, M.D.V. (2007). Software SELEGEN - REML/BLUP: sistema estatístico e seleção genética computadorizada via modelos lineares mistos. Colombo, Brazil: Embrapa Florestas, 359p. ISBN 9788589281164.
  36. Scanavaca Júnior, L., Garcia, J.N. (2003). Potential for genetic improvement in Eu­calyptus urophylla from the Island Flores. Scientia Forestalis 64:23-32.
  37. Silva, P.H.M., Marco, M., Alvares, C.A., Miranda, A.C., Lee, D.J., Moraes, M.L.T., De Paula, R.C. (2018). Early selection of Eucalyptus grandis families across envi­ronmental conditions (In Press).
  38. Silva, P.H.M., Poggiani, F., Libardi, P.L., Gonçalves, A.N. (2013). Fertilizer manage­ment of eucalypt plantations on sandy soil in Brazil: initial growth and nutri­ent cycling. Forest Ecology and Management 301:67-71. https://doi.org/10.1016/j.foreco.2012.10.033.10.1016/j.foreco.2012.10.033
  39. Vencovsky, R., Barriga, P. (1992). Genética biométrica no fitomelhoramento. Ri­beirão Preto, Brazil: Sociedade Brasileira de Genética, 496p.
  40. Vencovsky, R., Ramalho, M.A.P., Toledo, F.H.R.B. (2012). Contribution and per­spectives of quantitative genetics to plant breeding in Brazil. Crop Breeding and Applied Biotechnology 12:7-14. http://dx.doi.org/10.1590/S1984-70332012000500002.10.1590/S1984-70332012000500002
  41. Verissimo, M.A.A., Silva, S.D.A., Aires, R.F., Daros, E., Panziera, W. (2012). Adapt­ability and stability of early sugarcane genotypes in Rio Grande do Sul, Bra­zil. Pesquisa Agropecuária Brasileira 47(4):561-568. http://dx.doi.org/10.1590/S0100-204X2012000400012.10.1590/S0100-204X2012000400012
  42. Zobel, R.W., Wright, M.J., Gauch, H.G.J. (1988). Statistical analysis of a yield trial. Agronomy Journal 80(3):388-393. http://dx.doi.org/10.2134/agronj1988.00021962008000030002x.10.2134/agronj1988.00021962008000030002x
  43. Weihs, C., Ligges, U., Luebke, K., Raabe, N. (2005). klaR Analyzing German busi­ness cycles. In: Baier D, Decker R, Schmidt-Thieme L (Ed.). Data analysis and decision support. Berlin, Germany: Springer Berlin Heidelberg, p.335-343. https://doi.org/10.1007/3-540-28397-8_36.10.1007/3-540-28397-8_36
  44. Yan, W., Kang, M.S. (2002). GGE biplot analysis: A graphical tool for breeders, ge­neticists, and agronomists. Florida, United States: CRC press. 288p. ISBN 0849313384.10.1201/9781420040371
  45. Yan, W., Pageau, D., Frégeau Reid, J., Durand, J. (2011). Assessing the representa­tiveness and repeatability of test locations for genotype evaluation. Crop Science 51(4):1603-1610. http://dx.doi.org/10.2135/cropsci2011.01.0016.10.2135/cropsci2011.01.0016
DOI: https://doi.org/10.2478/sg-2018-0007 | Journal eISSN: 2509-8934 | Journal ISSN: 0037-5349
Language: English
Page range: 51 - 56
Published on: Jul 5, 2018
Published by: Johann Heinrich von Thünen Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 S. Pupin, P. H. M. Silva, F. A. Piotto, A. C. Miranda, D. U. G. Zaruma, A. M. Sebbenn, M. L. T. Moraes, published by Johann Heinrich von Thünen Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.