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2011
M. Balestre, Von Pinho, R. G., and Souza, J. C., Prediction of maize double-cross hybrids using the best linear unbiased prediction with microsatellite marker information, vol. 10, pp. 25-35, 2011.
Balestre M, Von Pinho RG, Souza JC and Machado JC (2008). Potential of maize single-cross hybrids for extraction of inbred lines using the mean components and mixed models with microsatellite marker information. Genet. Mol. Res. 7: 1106-1118. http://dx.doi.org/10.4238/vol7-4gmr491 PMid:19048489   Balestre M, Von Pinho RG, Souza JC and Oliveira RL (2009). Potential use of molecular markers for prediction of genotypic values in hybrid maize performance. Genet. Mol. Res. 8: 1292-1306. http://dx.doi.org/10.4238/vol8-4gmr644 PMid:19876871   Balestre M, Von Pinho RG and Souza JC (2010). Prediction of maize single-cross performance by mixed linear models with microsatellite marker information. Genet. Mol. Res. 9: 1054-1068. http://dx.doi.org/10.4238/vol9-2gmr791 PMid:20568050   Bauer AM, Reetz TC and Leon J (2006). Estimation of breeding values of inbred lines using best linear unbiased prediction (BLUP) and genetic similarities. Crop Sci. 46: 2685-2691. http://dx.doi.org/10.2135/cropsci2006.01.0019   Bernardo R (1994). Prediction of maize single-cross performance using RFLPs and information from related hybrids. Crop Sci. 34: 20-25. http://dx.doi.org/10.2135/cropsci1994.0011183X003400010003x   Bernardo R (1995). Genetic models for predicting maize single-cross performance in unbalanced yield trial data. Crop Sci. 35: 141-147. http://dx.doi.org/10.2135/cropsci1995.0011183X003500010026x   Bernardo R (1996). Best linear unbiased prediction of maize single-cross performance. Crop Sci. 36: 50-56. http://dx.doi.org/10.2135/cropsci1996.0011183X003600010009x   Bickel DR (2002). Robust estimators of the mode and skewness of continuous data. Comput. Stat. Data Anal. 39: 153-163. http://dx.doi.org/10.1016/S0167-9473(01)00057-3   Bickel DR (2003). Robust and efficient estimation of the mode of continuous data: the mode as a viable measure of central tendency. J. Stat. Comput. Simulat. 73: 899-912. http://dx.doi.org/10.1080/0094965031000097809   Cruz JC and Pereira Filho IA (2008). Cultivares de Milho Disponíveis no Mercado de Sementes do Brasil para a Safra 2008/2009. Available at [http://www.cnpms.embrapa.br/publicacoes/milho/cultivares.htm]. Accessed November 1, 2009.   Dalenius T (1965). The mode - a neglected statistical parameter. J. R. Stat. Soc. Ser. A 128: 110-117. http://dx.doi.org/10.2307/2343439   Griffing B (1956). Concept of general and specific combining ability in relation to diallel crossing systems. Aust. J. Biol. Sci. 9: 463-493.   Hamblin J and Zimmermann MJ (1986). Breeding common bean for yield in mixtures. Plant Breed. Rev. 4: 245-272.   Henderson CR (1984). Applications of Liner Models in Animal Breeding. University of Guelph Press, Guelph.   Jenkins MT (1934). Methods of estimating the performance of double crosses in corn. J. Am. Soc. Agron. 26: 199-204. http://dx.doi.org/10.2134/agronj1934.00021962002600030004x   Lynch M and Ritland K (1999). Estimation of pairwise relatedness with molecular markers. Genetics 152: 1753-1766. PMid:10430599 PMCid:1460714   SAS Institute (2000). User's Guide. Version 8. SAS Institute Inc, Cary.   Schrag TA, Melchinger AE, Sorensen AP and Frisch M (2006). Prediction of single-cross hybrid performance for grain yield and grain dry matter content in maize using AFLP markers associated with QTL. Theor. Appl. Genet. 113: 1037-1047. http://dx.doi.org/10.1007/s00122-006-0363-6 PMid:16896712   Schrag TA, Mohring J, Maurer HP, Dhillon BS, et al. (2009). Molecular marker-based prediction of hybrid performance in maize using unbalanced data from multiple experiments with factorial crosses. Theor. Appl. Genet. 118: 741-751. http://dx.doi.org/10.1007/s00122-008-0934-9 PMid:19048224   Troyer AF (2009). Development of Hybrid Corn and the Seed Corn Industry. In: Handbook of Maize: Genetics and Genomics (Bennetzen JL and Hake S, eds.). Springer, New York, 87-114.   Van Vleck LD (1993). Selection Index in Introduction to Mixed Models Methods for Genetic Improvement of Animals. The Green Book Press, Boca Raton.   Vuylsteke M, Kuiper M and Stam P (2000). Chromosomal regions involved in hybrid performance and heterosis: their AFLP(R)-based identification and practical use in prediction models. Heredity 85 (Pt 3): 208-218. http://dx.doi.org/10.1046/j.1365-2540.2000.00747.x PMid:11012724   Wright DR, Stern HS and Berger J (2000). Comparing traditional and Bayesian analyses of selection experiments in animal breeding. J. Agric. Biol. Environ. Stat. 5: 240-256. http://dx.doi.org/10.2307/1400533
2010
M. Balestre, Von Pinho, R. G., and Souza, J. C., Prediction of maize single-cross performance by mixed linear models with microsatellite marker information, vol. 9, pp. 1054-1068, 2010.
Amorim EP, Amorim UBO, Dos Santos JB, Pereira De Souza A, et al. (2006). Genetic distance based on SSR and grain yield of inter and intrapopulational maize single cross hybrids. Maydica 51: 507-513.   André CMG (1999). Avaliação da Melhor Predição Linear não Tendenciosa (BLUP) Associada ao Uso de Marcadores Moleculares na Análise Dialélica. Master's thesis, Universidade Federal de Lavras, Lavras.   Balestre M, Machado JC, Lima JL, Souza JC, et al. (2008a). Genetic distance estimates among single cross hybrids and correlation with specific combining ability and yield in corn double cross hybrids. Genet. Mol. Res. 7: 65-73. http://dx.doi.org/10.4238/vol7-1gmr403 PMid:18273821   Balestre M, Von Pinho RG, Souza JC and Lima JL (2008b). Comparison of maize similarity and dissimilarity genetic coefficients based on microsatellite markers. Genet. Mol. Res. 7: 695-705. http://dx.doi.org/10.4238/vol7-3gmr458 PMid:18752197   Balestre M, Von Pinho RG, Souza JC and Machado JC (2008c). Potential of maize single-cross hybrids for extraction of inbred lines using the mean components and mixed models with microsatellite marker information. Genet. Mol. Res. 7: 1106-1118. http://dx.doi.org/10.4238/vol7-4gmr491 PMid:19048489   Bernando R (1994). Prediction of maize single-cross performance using RFLPs and information from related hybrids. Crop Sci. 34: 20-25. http://dx.doi.org/10.2135/cropsci1994.0011183X003400010003x   Bernardo R (1995). Genetic models for predicting maize performance in unbalanced yield trial data. Crop Sci. 35: 141-147. http://dx.doi.org/10.2135/cropsci1995.0011183X003500010026x   Bernardo R (1996). Best linear unbiased prediction of maize single cross performance. Crop Sci. 36: 50-56. http://dx.doi.org/10.2135/cropsci1996.0011183X003600010009x   Bernardo R (1997). RFLP markers and predicted testcross performance of maize sister inbreds. Theor. Appl. Genet. 95: 655-659. http://dx.doi.org/10.1007/s001220050608   Boer IJM de and Hoeschele I (1993). Genetic evaluation methods for populations with dominance and inbreeding. Theor. Appl. Genet. 86: 245-258.   Bouvet JM, Kelly B, Sanou H and Allal F (2008). Comparison of marker- and pedigree-based methods for estimating heritability in an agroforestry population of Vitellaria paradoxa C.F. Gaertn. (shea tree). Genet. Resour. Crop Evol. 55: 1291-1301. http://dx.doi.org/10.1007/s10722-008-9328-8   Charcosset A, Bonnisseau B, Touchebeuf O, Burstin J, et al. (1998). Prediction of maize hybrid silage performance using marker data: comparison of several models for specific combining ability. Crop Sci. 38: 38-44. http://dx.doi.org/10.2135/cropsci1998.0011183X003800010007x   Cruz CD, Regazzi AJ and Carneiro PCS (1997). Modelos Biométricos Aplicados ao Melhoramento Genético. Editora UFV, Viçosa.   Dias LA, Picoli EA, Rocha RB and Alfenas AC (2004). A priori choice of hybrid parents in plants. Genet. Mol. Res. 3: 356-368. PMid:15614727   Griffing B (1956). Concept of general and specific combining ability in relation to diallel crossing system. Aust. J. Biol. Sci. 9: 463-493.   Hallauer AR and Miranda Filho JB (1981). Quantitative Genetics in Maize Breeding. Iowa State University Press, Ames.   Hamblin J and Zimmermann MJ (1986). Breeding common bean for yield in mixtures. Plant Breed. Rev. 4: 245-272.   Henderson CR (1984). Applications of Liner Models in Animal Breeding. University of Guelph Press, Guelph.   Iemma M (2003). Uso do Melhor Predictor Linear Não Viesado (BLUP) em Análise Diallélica e Predição de Híbridos. Master's thesis, Escola Superior de Agricultura Luiz de Queiroz, Piracicaba.   Kempthorne O and Curnow RN (1961). The partial diallel cross. Biometrics 17: 229-250. http://dx.doi.org/10.2307/2527989   Lynch M and Ritland K (1999). Estimation of pairwise relatedness with molecular markers. Genetics 152: 1753-1766. PMid:10430599 PMCid:1460714   Melchinger AE (1999). Genetic Diversity and Heterosis. In: The Genetics and Exploitation of Heterosis in Crops (Coors JG and Pandey S, eds.). American Society of Agronomy-Crop Science Society of America, Madison, 99-118.   Nejati-Javaremi A, Smith C and Gibson JP (1997). Effect of total allelic relationship on accuracy of evaluation and response to selection. J. Anim. Sci. 75: 1738-1745. PMid:9222829   Piepho HP, Möhring J, Melchinger AE and Büchse A (2008). BLUP for phenotypic selection in plant breeding and variety testing. Euphytica 161: 209-228. http://dx.doi.org/10.1007/s10681-007-9449-8   Ramalho MAP, Santos JB dos and Zimmermann MJ de O (1993). Genética Quantitativa em Plantas Autógamas, Aplicações ao Melhoramento do Feijoeiro. Editora UFG, Goiânia.   Reif JC, Melchinger AE, Xia XC, Warburton ML, et al. (2003). Genetic distance based on simple sequence repeats and heterosis in tropical maize populations. Crop Sci. 43: 1275-1282. http://dx.doi.org/10.2135/cropsci2003.1275   Reif JC, Melchinger AE and Frisch M (2005). Genetical and mathematical properties of similarity and dissimilarity coefficients applied in plant breeding and seed bank management. Crop Sci. 45: 1-7. http://dx.doi.org/10.2135/cropsci2005.0001   Ritland K (1996). Estimators for pairwise relatedness and inbreeding coefficients. Genet. Res. 67: 175-186. http://dx.doi.org/10.1017/S0016672300033620   Rousset F (2007). Inferences from Spatial Population Genetics. In: Handbook of Statistical Genetics (Balding DJ, Bishop M and Cannings C, eds.) 3rd edn. Wiley, Chichester, 945-979. http://dx.doi.org/10.1002/9780470061619.ch28   SAS Institute (2000). Version 8. SAS Institute Inc., Cary.   Schrag TA, Mohring J, Maurer HP, Dhillon BS, et al. (2009). Molecular marker-based prediction of hybrid performance in maize using unbalanced data from multiple experiments with factorial crosses. Theor. Appl. Genet. 118: 741-751. http://dx.doi.org/10.1007/s00122-008-0934-9 PMid:19048224   Van Vleck LD (1993). Selection Index in Introduction to Mixed Models Methods for Genetic Improvement of Animals. CRC Press, Boca Raton.   Vencovsky R and Barriga P (1992). Genética Biométrica no Fitomelhoramento. Sociedade Brasileira de Genética, Ribeirão Preto. PMCid:1004926