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2012
M. Balestre, Von Pinho, R. G., and Brito, A. H., Bayesian inference to study genetic control of resistance to gray leaf spot in maize, vol. 11, pp. 17-29, 2012.
Brito AH, Von Pinho RG, Souza Filho AX and Altoé TF (2008). Avaliação da severidade da Cercosporiose e rendimento de grãos em híbridos comerciais de milho. Rev. Bras. Milho Sorgo 7: 19-31. Brooks SP and Gelman A (1998). General methods for monitoring convergence of iterative simulations. J. Comput. Graph. Stat. 7: 434-455. http://dx.doi.org/10.2307/1390675 Bubeck DM, Goodman MM, Beavis WD and Grant D (1993). Quantitative trait loci controlling resistance to gray leaf spot in maize. Crop Sci. 33: 838-847. http://dx.doi.org/10.2135/cropsci1993.0011183X003300040041x Clements MJ, Dudley JW and White DG (2000). Quantitative trait loci associated with resistance to gray leaf spot of corn. Phytopathology 90: 1018-1025. http://dx.doi.org/10.1094/PHYTO.2000.90.9.1018 PMid:18944528 Coates ST and White DG (1998). Inheritance of resistance to gray leaf spot in crosses involving selected resistant inbred lines of corn. Phytopathology 88: 972-982. http://dx.doi.org/10.1094/PHYTO.1998.88.9.972 PMid:18944876 Derera J, Tongoona P, Kevin VP, Vivek B, et al. (2008). Gene action controlling gray leaf spot resistance in Southern African maize germplasm. Crop Sci. 48: 93-98. http://dx.doi.org/10.2135/cropsci2007.04.0185 Gelman A and Rubin DB (1992). Inference from iterative simulation using multiple sequences. Stat. Sci. 7: 457-472. http://dx.doi.org/10.1214/ss/1177011136 Gordon GS, Bartsch M, Matties I, Gevers HO, et al. (2004). Linkage of molecular markers to Cercospora zeae-maydis resistance in maize. Crop Sci. 44: 628-636. http://dx.doi.org/10.2135/cropsci2004.0628 Janss LL, Van Arendonk JA and Brascamp EW (1997). Bayesian statistical analyses for presence of single genes affecting meat quality traits in a crossed pig population. Genetics 145: 395-408. PMid:9071593    PMCid:1207804 Juliatti FC, Appelt CCNS, Brito CH, Gomes LS, et al. (2004). Controle da feosféria, ferrugem comum e cercosporiose pelo uso da resistência genética, fungicidas e épocas de aplicação na cultura do milho. Biosci. J. 20: 45-54. Juliatti FC, Pedrosa MG, Silva HD and Silva JVC (2009). Genetic mapping for resistance to gray leaf spot in maize. Euphytica 169: 227-238. http://dx.doi.org/10.1007/s10681-009-9943-2 Kadarmideen HN and Janss LL (2005). Evidence of a major gene from Bayesian segregation analyses of liability to osteochondral diseases in pigs. Genetics 171: 1195-1206. http://dx.doi.org/10.1534/genetics.105.040956 PMid:16020792    PMCid:1456822 Mather K and Jinks JL (1971). Biometrical Genetics. Chapman and Hall, London. Menkir A and Ayodele M (2005). Genetic analysis of resistance to gray leaf spot of midaltitude maize inbred lines. Crop Sci. 45: 163-170. Pozar G, Butruille D, Silva HD, McCuddin ZP, et al. (2009). Mapping and validation of quantitative trait loci for resistance to Cercospora zeae-maydis infection in tropical maize (Zea mays L.). Theor. Appl. Genet. 118: 553-564. http://dx.doi.org/10.1007/s00122-008-0920-2 PMid:18989654 Raftery AE and Lewis SM (1992). How Many Iterations in the Gibbs Sampler? In: Bayesian Statistics 4 (Bernardo JM, Berger JO, Dawid AP and Smith AFM, eds.). Oxford University Press, Oxford, 763-773. Saghai-Maroof MA, Yue YG, Xiang ZX, Stromberg EL, et al. (1996). Identification of quantitative trait loci controlling resistance to gray leaf spot disease in maize. Theor. Appl. Genet. 93: 539-546. http://dx.doi.org/10.1007/BF00417945 SAS Institute (2000). Version 8. SAS Institute Inc., Cary. Silva MIS, Bearzoti E and Bueno-Filho JSS (2009). Análise bayesiana do modelo de herança monogênica no melhoramento vegetal: um exemplo com abobrinha. Cienc. Agrotecnol. 33: 1463-1468. http://dx.doi.org/10.1590/S1413-70542009000600002 Von Pinho RG, Ramalho MAP, Resende IC, Silva HP, et al. (2001). Reação de híbridos comerciais de milho às ferrugens polissora e tropical. Pesq. Agropec. Bras. 36: 439-445. http://dx.doi.org/10.1590/S0100-204X2001000300007 Xu S (2003). Estimating polygenic effects using markers of the entire genome. Genetics 163: 789-801. PMid:12618414    PMCid:1462468