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ORIGINAL ARTICLES

Genetic parameters and selection of maize cultivars using Bayesian inference in a multi-trait linear model

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Pages 465-478 | Received 27 Jan 2019, Accepted 26 Mar 2019, Published online: 02 Apr 2019

References

  • Apiolaza LA, Chauhan SS, Walker JCF. 2011. Genetic control of very early compression and opposite wood in Pinus radiata and its implications for selection. Tree Genet Genomes. 7(3):563–571. doi: 10.1007/s11295-010-0356-0
  • Arriagada O, Mora F, Dellarosa JC, Ferreira MFS, Cervigni GDL, Schuster I. 2012. Bayesian mapping of quantitative trait loci (QTL) controlling soybean cyst nematode resistant. Euphytica. 186:907–917. doi: 10.1007/s10681-012-0696-y
  • Aslam M, Iqbal A, Ibni Zamir MS, Mubeen M, Amin M. 2011. Effect of different nitrogen levels and seed rates on yield and quality of maize fodder. Crop Environ. 2(2):47–51.
  • Bink MCAM, Boer MP, ter Braak CJF, Jansen J, Voorrips RE, van de Weg WE. 2008. Bayesian analysis of complex traits in pedigreed plant populations. Euphytica. 161(1-2):85–96. doi: 10.1007/s10681-007-9516-1
  • Bos HJ, Tijani-Eniola H, Struik PC. 2000. Morphological analysis of leaf growth of maize: responses to temperature and light intensity. Neth J Agr Sci. 48:181–198.
  • Cané-Retamales C, Mora F, Vargas-Reeve F, Perret S, Contreras-Soto R. 2011. Bayesian threshold analysis of breeding values, genetic correlation and heritability of flowering intensity in Eucalyptus cladocalyx under arid conditions. Euphytica. 178:177–183. doi: 10.1007/s10681-010-0292-y
  • Chen F, Chun L, Bao J, Zhang F, Mi GH. 2006. Vegetative growth and photosynthetic characteristics of maize hybrids differing in nitrogen use efficiency. J Maize Sci. 14:127–130.
  • Costa CL, Dwyer LM, Stewart DW, Smith DL. 2002. Nitrogen effect on kernel yield and yield components of leafy and non-leafy maize genotypes. Crop Sci. 42:1556–1563. doi: 10.2135/cropsci2002.1556
  • Cowles MK, Carlin BP. 1996. Markov chain Monte Carlo convergence diagnostics: a comparative review. J Am Stat Assoc. 91(434):883–904. doi: 10.1080/01621459.1996.10476956
  • Cuevas J, Crossa J, Montesinos-López OA, Burgueño J, Pérez-Rodríguez P, de los Campos G. 2017. Bayesian genomic prediction with genotype ( environment interaction kernel models. G3-Genes Genom Genet. 7:41.
  • Davies NT, Apiolaza LA, Sharma M. 2017. Heritability of growth strain in Eucalyptus bosistoana: a Bayesian approach with leftcensored data. New Zeal J For Sci. 47:5. doi: 10.1186/s40490-017-0086-2
  • Erley GS, Kaul H, Krause M, Aufhammer W. 2005. Yield and nitrogen utilization efficiency of the pseudocereals amaranth, quinna, and buckwheat under differing nitrogen fertilization. Eur J Agron. 22:95–100. doi: 10.1016/j.eja.2003.11.002
  • Everling DM, Bresolin T, Rorato PRN, Araujo RO, Boligon AA, Weber T, Dornelles MA, Campos LT. 2014. Finishing precocity visual score and genetic associations with growth traits in Angus beef cattle. Genet Mol Res. 13(3):7757–7765. doi: 10.4238/2014.September.26.13
  • Falconer DS, Mackay TFC. 1996. Introduction to quantitative genetics. Edinburgh, SC: Addison Wesley Longman.
  • Fritsche-Neto R, Gonçalves MC, Vencovsky R, de Souza Junior CL. 2010. Prediction of genotypic values of maize hybrids in unbalanced experiments. Crop Breed Appl Biot. 10:32–39. doi: 10.12702/1984-7033.v10n01a05
  • Geweke J. 1992. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In: Bernardo JM, Berger JO, Dawid AP, Smith AFM, editors. Bayesian statistics 4. Oxford: Oxford University Press; p. 169–193.
  • Gianola D, Okut H, Weigel KA, Rosa GJM. 2011. Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat. BMC Genet. 12:87–100. doi: 10.1186/1471-2156-12-87
  • Gonçalves-Vidigal MC, Mora F, Bignotto TS, Munhoz REF, Souza LD. 2008. Heritability of quantitative traits in segregating common bean families using a Bayesian approach. Euphytica. 164(2):551–560. doi: 10.1007/s10681-008-9758-6
  • Hayashi T, Iwata H. 2013. A Bayesian method and its variational approximation for prediction of genomic breeding values in multiple traits. BMC Bioinform. 14(1):34. doi: 10.1186/1471-2105-14-34
  • Henderson CR, Quaas RL. 1976. Multiple trait evaluation using relatives records. J Anim Sci. 43(434):1188–1197. doi: 10.2527/jas1976.4361188x
  • Hirel B, Le Gouis J, Gallais A. 2007. The challenge of improving nitrogen use efficiency in crop plants: towards a more central role for genetic variability and quantitative genetics within integrated approaches. J. Exp. Bot. 58(9):2369–2387. doi: 10.1093/jxb/erm097
  • Junqueira VS, de Azevedo Peixoto L, Laviola BG, Bhering LL, Mendonça S, da Silveira Agostini Costa T, Antoniassi R. 2016. Bayesian multi-trait analysis reveals a useful tool to increase oil concentration and to decrease toxicity in jatropha curcas L. PLoS One. 11(6):e0157038. doi: 10.1371/journal.pone.0157038
  • Kärkkäinen HP, Sillanpää MJ. 2012. Back to basics for Bayesian model building in genomic selection. Genetics. 191(3):969–987. doi: 10.1534/genetics.112.139014
  • Kim SH, Gitz DC, Sicher RC, Baker JT, Timlin DJ, Reddy VR. 2007. Temperature dependence of growth, development, and photosynthesis in maize under elevated CO2. Environ Exp Bot. 61:24–236.
  • Li Z, Sillanpää MJ. 2012. Estimation of quantitative trait locus effects with epistasis by variational Bayes algorithms. Genetics. 190(1):231–249. doi: 10.1534/genetics.111.134866
  • Liersch A, Bocianowski J, Woś H, Szała L, Sosnowska K, Cegielska-Taras T, Nowosad K, Bartkowiak-Broda I. 2016. Assessment of genetic relationships in breeding lines and cultivars of Brassica napus and their implications for breeding winter oilseed rape. Crop Sci. 56(4):1540–1549. doi: 10.2135/cropsci2015.08.0530
  • Mathew B, Bauer AM, Koistinen P, Reetz TC, Léon J, Sillanpaa MJ. 2012. Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters. Heredity. 109(4):235–245. doi: 10.1038/hdy.2012.35
  • Niu J, Chen FJ, Mi GH, Li CJ, Zhang FS. 2007. Transpiration and nitrogen uptake and flow in two maize (Zea mays L.) inbred lines as affected by nitrogen supply. Ann Bot – London. 99:153–160. doi: 10.1093/aob/mcl237
  • Oliveira EJ, Santana FA, Oliveira LA, Santos VS. 2014. Genetic parameters and prediction of genotypic values for root quality traits in cassava using REML/BLUP. Genet Mol Res. 13(3):6683–6700. doi: 10.4238/2014.August.28.13
  • Osaki M, Fujisaki Y, Morikawa K, Matsumoto M, Shinano T, Tadano T. 1993. Productivity of high-yielding crops. IV. parameters determining differences of productivity among field crops. Soil Sci Plant Nutr. 39:605–615. doi: 10.1080/00380768.1993.10419177
  • Paponov IA, Sambo P, Erley GS, Presterl T, Geiger HH, Engels C. 2005. Grain yield and kernel weight of two maize genotypes differing in nitrogen use efficiency at various levels on nitrogen and carbohydrate availability during flowering and grain filling. Plant Soil. 272:111–123. doi: 10.1007/s11104-004-4211-7
  • Peiffer JA, Spor A, Koren O, Jin Z, Tringe SG, Dangl JL, Buckler ES, Ley RE. 2013. Diversity and heritability of the maize rhizosphere microbiome under field conditions. Proc Natl Acad Sci USA. 110(16):6548–6553. doi: 10.1073/pnas.1302837110
  • Pengelly JL, Kwasny S, Bala S, Evans JR, Voznesenskaya EV, Koteyeva NK, Edwards GE, Furbanak RT, Caemmerer S. 2011. Functional analysis of corn husk photosynthesis. Am Soc Pl Biol. 156(2):503–513.
  • Piesik D, Wenda-Piesik A, Weaver DK, Morrill WL. 2007. Influence of Fusarium crown rot disease on semiochemical production by wheat plants. J Phytopathol. 155:488–496. doi: 10.1111/j.1439-0434.2007.01266.x
  • Radkowski A, Sosin-Bzducha E, Radkowska I. 2017. Effects of silicon foliar fertilization of meadow plants on the nutritional value of silage fed to dairy cows. J Elem. 22(4):1311–1322.
  • Subedi KD, Ma BL. 2005. Nitrogen uptake and partitioning in stay-green and leafy maize hybrids. Crop Sci. 45:740–747. doi: 10.2135/cropsci2005.0740
  • Synowiec A, Kalemba D, Drozdek E, Bocianowski J. 2017. Phytotoxic potential of essential oils from temperate climate plants against the germination of selected weeds and crops. J Pest Sci. 90:407–419. doi: 10.1007/s10340-016-0759-2
  • Szulc P, Bocianowski J. 2011a. Hierarchy of mineral uptake in the creation of generative yield. Fresen Environ Bull. 20(8a):2135–2140.
  • Szulc P, Bocianowski J. 2011b. Variability and correlation of grain yield structure components of two different types of maize cultivars (Zea mays L.). Fresen Environ Bull. 20(10):2684–2692.
  • Szulc P, Bocianowski J, Rybus-Zając M. 2012. Accumulation of N, P, K and Mg nutrient elements and nutrient remobilization indices in the biomass of two contrasting maize (Zea mays L.) hybrids. Fresen Environ Bull. 21(8):2062–2071.
  • Szulc P, Michalski T, Waligóra H, Wilczewska W. 2017. The dynamics of accumulation of N, P, K and Mg in the initial period of growth as a reaction of maize cultivars (Zea mays L.) on the method of the application of a nitrogen fertilizer. Fresen Environ Bull. 26(12):7189–7198.
  • Szulc P, Waligóra H, Michalski T, Rybus-Zając M, Olejarski P. 2016. Efficiency of nitrogen fertilization based on the fertilizer application method and type of maize cultivar (Zea mays L.). Plant Soil Environ. 62(3):135–142. doi: 10.17221/654/2015-PSE
  • Tausta SL, Coyle HM, Rothermel B, Stiefel V, Nelson T. 2002. Maize C4 and non-C4 NADP-dependence malic enzymes are encoded by distinct genes derived from a plastid-localized ancestor. Plant Mol Biol. 50(4–5):635–652. doi: 10.1023/A:1019998905615
  • Taylor SA, Friesen VL. 2012. Use of molecular genetics for understanding seabird evolution, ecology and conservation. Mar Ecol Prog Ser. 451:285–304. doi: 10.3354/meps09694
  • Torres LG, Rodrigues MC, Lima NL, Trindade TFH, Silva FFE, Azevedo CF, DeLima RO. 2018. Multi-trait multi-environment Bayesian model reveals G x E interaction for nitrogen use efficiency components in tropical maize. PLoS One. 13(6):e0199492. doi: 10.1371/journal.pone.0199492
  • Viana JMS, Sobreira FM, De Resende MDV, Faria VR. 2010. Multi-trait BLUP in half-sib selection of annual crops. Plant Breed. 129(6):599–604. doi: 10.1111/j.1439-0523.2009.01745.x
  • Waldmann P, Ericsson T. 2006. Comparison of REML and Gibbs sampling estimates of multi-trait genetic parameters in Scots pine. Theor Appl Genet. 112(8):1441–1451. doi: 10.1007/s00122-006-0246-x

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