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Comparison of genome-wide and phenotypic selection indices in maize

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Abstract

The objective of this study was to compare the selection of maize lines by genomic selection and phenotypic selection, performed on the basis of selection indices rather than on each trait separately. To achieve this, 256 plants of an F2 population (S1 lines) were genotyped with 177 microsatellite molecular markers. These lines were evaluated in experiments with replications, considering different traits, phenotypic means (PM) and means predicted from the effects of the molecular markers (GM) were obtained and, from these, different selection indices were estimated for each line. The results showed that the GM were estimated with good precision, with high estimates for correlations, coefficients of determination and accuracy between the GM and the PM. The estimates of the correlation coefficients varied from medium to high between the selection indices obtained from PM and GM, with PM and GM generated values showing the closest agreement for the index proposed by Mulamba and Mock. The occurrence of superior genotype coincidences was not high between PM and GM based selections for the different selection indices, but values close to the observed phenotypic values were found. The evaluation of the populations selection for the different strategies confirmed that there were differences among the selection indices used for both PM and GM for most of the traits evaluated, that in average their means did not differ for most of the traits, and both differed from the control population, confirming the efficiency of the genomic selection performed on the basis of selection indices.

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References

  • Albrecht T, Wimmer V, Auinger HJ, Erbe M, Knaak C, Ouzunova M, Simianer H, Schon CC (2011) Genome-based prediction of testcross values in maize. Theor Appl Genet 123:339–350

    Article  PubMed  Google Scholar 

  • Allaire FR, Henderson CR (1966) Selection practiced among dairy cows: II. Total production over a sequence of lactations. J Dairy Sci 49:1435–1440

    Article  Google Scholar 

  • Asoro FG, Newell MA, Beavis WD, Scott MP, Jannink JL (2011) Accuracy and training population design for genomic selection on quantitative traits in elite North American oats. Plant Gen 4:132–144

    Article  Google Scholar 

  • Baker RJ (1986) Selection indices in plant breeding. CRC Press, Boca Raton

    Google Scholar 

  • Belícuas PR, Aguiar AM, Bento DAV, Câmara TMM, Souza Júnior CL (2014) Inheritance of the stay-green trait in tropical maize. Euphytica 198:163–173

    Google Scholar 

  • Bernardo R (1996a) Best linear unbiased prediction of maize single-cross performance. Crop Sci 36:50–56

    Article  Google Scholar 

  • Bernardo R (1996b) Best linear unbiased prediction of maize single-cross performance given erroneous inbred relationships. Crop Sci 36:862–866

    Article  Google Scholar 

  • Bernardo R (2008) Molecular markers and selection for complex traits in plants: learning from the last 20 years. Crop Sci 48:1649–1664

    Article  Google Scholar 

  • Bernardo R (2009) Genome wide selection for rapid introgression of exotic germplasm in maize. Crop Sci 49:419–425

    Article  Google Scholar 

  • Bernardo R (2010) Breeding for quantitative traits in plants. Stemma Press, Woodbury

    Google Scholar 

  • Bernardo R, Yu J (2007) Prospects for genome wide selection for quantitative traits in maize. Crop Sci 47:1082–1090

    Article  Google Scholar 

  • Bouchez A, Hospital F, Causse M, Gallais A, Charcosset A (2002) Marker-assisted introgression of favorable alelles at quantitative trait loci between maize elite lines. Genetics 162:1945–1959

    CAS  PubMed  PubMed Central  Google Scholar 

  • Burdick RK, Graybill FA (1992) Confidence intervals on variance components. M. Dekker Inc., New York

    Book  Google Scholar 

  • Câmara TMM, Bento DAV, Alves GF, Santos MF, Moreira JUV, Souza Júnior CL (2007) Parâmetros Genéticos Relacionados à Tolerância à Deficiência Hídrica em Milho Tropical. Bragantia 66:595–600

    Article  Google Scholar 

  • Dickerson GE, Blunn CT, Chapman AG, Kottman RM, Kridder JL, Warwick EJ, Whatley JA Jr, Baker ML, Winters LM (1954) Evaluation of developing inbred lines of swine. Res Bull Mol Agric Exp Stn: 551

  • Eathington SR, Crosbie TM, Edwards MD, Reiter RS, Bull JK (2007) Molecular markers in a commercial breeding program. Crop Sci 47(Suppl3):S-154–S-163

    Google Scholar 

  • Gouy M, Rousselle Y, Bastianelli D, Lecomte P, Bonnal L, Roques D, Efile JC, Rocher S, Daugrois J, Toubi L, Nabeneza S, Hervouet C, Telismart H, Denis M, Thong Chane A, Glaszmann JC, Hoarau JY, Nibouche S, Costet L (2013) Experimental assessment of the accuracy of genomic selection in sugarcane. Theor Appl Genet 126:2575–2586

    Article  CAS  PubMed  Google Scholar 

  • Guo Z, Tucker DM, Lu J, Kishore V, Gay G (2012) Evaluation of genome-wide selection efficiency in maize nested association mapping populations. Theor Appl Genet 124:261–275

    Article  PubMed  Google Scholar 

  • Hallauer AR, Carena MJ, Miranda Filho JB (2010) Quantitative genetics in maize breeding. Springer, New York

    Google Scholar 

  • Hazel LN (1943) The genetic basis for constructing selection indexes. Genetics 28:476–490

    CAS  PubMed  PubMed Central  Google Scholar 

  • Heffner EL, Jannink J, Sorrells ME (2011) Genomic selection accuracy using multifamily prediction models in a wheat breeding program. Plant Genome 4:65–75

    Article  Google Scholar 

  • Henderson CR (1984) Applications of linear models in animal breeding. University of Guelph, Guelph

    Google Scholar 

  • Ho J, McCouch S, Smith M (2002) Improvement of hybrid yield by advanced backcross QTL analysis in elite maize. Theor Appl Genet 105:440–448

    Article  CAS  PubMed  Google Scholar 

  • Iwata H, Jannink JL (2011) Accuracy of genomic selection prediction in barley breeding programs: a simulation study based on the real single nucleotide polymorphism data of barley breeding lines. Crop Sci 51:1915–1927

    Article  Google Scholar 

  • Jacobson A, Lian L, Zhong S, Bernardo R (2014) General combining ability model for genome wide selection in a biparental cross. Crop Sci 54:895–905

    Article  Google Scholar 

  • Lima MLA, Souza Júnior CL, Bento DAV, Souza AP, Garcia LAC (2006) Mapping QTL for grain yield and plant traits in a tropical maize population. Mol Breed 17:227–239

    Article  Google Scholar 

  • Lorenzana RE, Bernardo R (2009) Accuracy of genotypic value predictions for marker-based selection in biparental plant populations. Theor Appl Genet 120:151–161

    Article  PubMed  Google Scholar 

  • Massman JM, Jung H-JG, Bernardo R (2013) Genomewide selection versus marker-assisted recurrent selection to improve grain yield and stover-quality traits for cellulosic ethanol in maize. Crop Sci 53:58–66

    Article  CAS  Google Scholar 

  • Mendes MP, Souza Júnior CL (2016) Genome wide prediction of tropical maize single-crosses. Euphytica 209:651–663

    Article  CAS  Google Scholar 

  • Meuwissen THE (2007) Genomic selection: marker assisted selection on genome-wide scale. J Anim Breed Genet 124:321–322

    Article  PubMed  Google Scholar 

  • Meuwissen THE, Hayes BJ, Goddard ME (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157:1819–1829

    CAS  PubMed  PubMed Central  Google Scholar 

  • Moreau L, Charcosset A, Gallais A (2004) Experimental evaluation of several cycles of marker assisted selection in maize. Euphytica 137:111–118

    Article  CAS  Google Scholar 

  • Môro GV, Santos MF, Bento DAV, Aguiar AM, Souza CL Jr (2012) Genetic analysis of kernel oil content in tropical maize with design III and QTL mapping. Euphytica 185:419–428

    Article  Google Scholar 

  • Mulamba NN, Mock JJ (1978) Improvement of yield potential of the Eto Blanco maize (Zea mays L.) population by breeding for plant traits. Egypt J Genet Cytol 7:40–51

    Google Scholar 

  • Peng B, Li Y, Wang Y, Liu C, Liu Z, Zhang Y, Tan W, Wang D, Shi Y, Sun B, Song Y, Wang T, Li Y (2013) Correlations and comparisons of quantitative trait loci with family per se and testcross performance for grain yield and related traits in maize. Theor Appl Genet 126:773–789

    Article  CAS  PubMed  Google Scholar 

  • Pesek J, Baker RJ (1969) Desired improvement in relation to selection indices. Can J Plant Sci 49:803–804

    Article  Google Scholar 

  • SAS Institute Inc (2001) SAS/STAT user’s guide, v.6.03. SAS Institute, Cary

  • Sibov ST, Souza CL Jr, Garcia AAF, Silva AR, Mangolin CA, Benchimol LL, Souza AP (2003) Molecular mapping in tropical maize using microsatellite markers. 2. Quantitative trait loci (QTL) for grain yield, ear height, and grain moisture. Hereditas 139:107–115

    Article  PubMed  Google Scholar 

  • Smith HF (1936) A discriminant function for plant selection. Ann Eugen 7:240–250

    Article  Google Scholar 

  • Smith OS, Hallauer AR, Russell WA (1981) Use of index selection in recurrent selection programs in maize. Euphytica 30:611–618

    Article  Google Scholar 

  • Sokal RR, Rohlf FJ (1995) Biometry—the principles and practice of statistics in biological research. W. H. Freeman & Company, New York

    Google Scholar 

  • Stuber CW, Sisco P (1992) Marker-facilitated transfer of QTL alleles between inbred lines and responses in hybrids. In: Proceedings of 46th annual Corn and Sorghum industry research conference. ASTA, Washington, pp 104–113

  • Veldboom LR, Lee M (1994) Molecular-marker facilited studies of morphological traits in maize. II: determination of QTL for grain yield and yield components. Theor Appl Genet 89:451–458

    Article  CAS  PubMed  Google Scholar 

  • Williams JS (1962) The evaluation of a selection index. Biometrics 18:375–393

    Article  Google Scholar 

  • Wolf DP, Peternelli LA, Hallauer AR (2000) Estimates of genetic variance in an F2 maize population. J Hered 91:384–391

    Article  CAS  PubMed  Google Scholar 

  • Wong CK, Bernardo R (2008) Genomewide selection in oil palm: increasing selection gain per unit time and cost with small populations. Theor Appl Genet 116:815–824

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

Funding was provided by Fundação de Amparo à Pesquisa do Estado de São Paulo and Conselho Nacional de Desenvolvimento Científico e Tecnológico.

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Correspondence to Gustavo Vitti Môro.

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Môro, G.V., Santos, M.F. & de Souza Júnior, C.L. Comparison of genome-wide and phenotypic selection indices in maize. Euphytica 215, 76 (2019). https://doi.org/10.1007/s10681-019-2401-x

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