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Found 22 results
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2016
L. A. de Oliveira, da Silva, C. P., Nuvunga, J. J., da Silva, A. Q., Balestre, M., de Oliveira, L. A., da Silva, C. P., Nuvunga, J. J., da Silva, A. Q., and Balestre, M., Bayesian GGE biplot models applied to maize multi-environments trials, vol. 15, p. -, 2016.
L. A. de Oliveira, da Silva, C. P., Nuvunga, J. J., da Silva, A. Q., Balestre, M., de Oliveira, L. A., da Silva, C. P., Nuvunga, J. J., da Silva, A. Q., and Balestre, M., Bayesian GGE biplot models applied to maize multi-environments trials, vol. 15, p. -, 2016.
N. F. Cantelmo, Von Pinho, R. G., Balestre, M., Cantelmo, N. F., Von Pinho, R. G., and Balestre, M., Genomic breeding value prediction for simple maize hybrid yield using total effects of associated markers, under different imbalance levels and environments, vol. 15, p. -, 2016.
N. F. Cantelmo, Von Pinho, R. G., Balestre, M., Cantelmo, N. F., Von Pinho, R. G., and Balestre, M., Genomic breeding value prediction for simple maize hybrid yield using total effects of associated markers, under different imbalance levels and environments, vol. 15, p. -, 2016.
D. A. Souza, Balestre, M., Pamplona, A. K. A., Leite, M. E., Dias, J. A., Santos, J. B., Souza, D. A., Balestre, M., Pamplona, A. K. A., Leite, M. E., Dias, J. A., and Santos, J. B., White mold resistance-associated quantitative trait loci in the Jalo x Small White common bean population, vol. 15, p. -, 2016.
D. A. Souza, Balestre, M., Pamplona, A. K. A., Leite, M. E., Dias, J. A., Santos, J. B., Souza, D. A., Balestre, M., Pamplona, A. K. A., Leite, M. E., Dias, J. A., and Santos, J. B., White mold resistance-associated quantitative trait loci in the Jalo x Small White common bean population, vol. 15, p. -, 2016.
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
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
D. V. Ferreira, Von Pinho, R. G., Balestre, M., and Oliveira, R. L., Prediction of maize hybrid performance using similarity in state and similarity by descent information, vol. 9, pp. 2381-2394, 2010.
Allen DM (1974). The relationship between variable selection and data augumentation and a method for prediction. Technometrics 16: 125-127. http://dx.doi.org/10.1080/00401706.1974.10489157   Amorim EP, Amorim UBO and Santos JB (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 thesis, Universidade Federal de Lavras, Lavras.   Balestre M, Von Pinho RG, Souza JC and Lima JL (2008a). 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 (2008b). 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   Bernardo R (1993). Estimation of coefficient of coancestry using molecular markers in maize. Theor. Appl. Genet. 85: 1055-1062. http://dx.doi.org/10.1007/BF00215047   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 performance in unbalanced yield trial data. Crop Sci. 35: 141-147. http://dx.doi.org/10.2135/cropsci1995.0011183X003500010026x   Bernardo R (1996a). Best linear unbiased prediction of maize single-cross performance given erroneous inbred relationships. Crop Sci. 36: 862-866. http://dx.doi.org/10.2135/cropsci1996.0011183X003600040007x   Bernardo R (1996b). Best linear unbiased prediction of maize single cross performance given erroneous inbred relationships. 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. Simulation 73: 899-912. http://dx.doi.org/10.1080/0094965031000097809   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   Dalenius T (1965). The mode - a neglected statistical parameter. J. Royal Stat. Society 128: 110-117. http://dx.doi.org/10.2307/2343439   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 BA (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, Guelph.   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, Madison.   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   Queller DC and Goodnight KF (1989). Estimating relatedness using genetic markers. Evolution 43: 258-275. http://dx.doi.org/10.2307/2409206   Reif JC, Melchinger AE, Xia XC, Warburton ML, et al. (2003a). Use of SSRs for establishing heterotic groups in subtropical maize. Theor. Appl. Genet. 107: 947-957. http://dx.doi.org/10.1007/s00122-003-1333-x PMid:12830388   Reif JC, Melchinger AE, Xia XC, Warburton ML, et al. (2003b). 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 individual inbreeding coefficients. Genet. Res. 67: 175-185. http://dx.doi.org/10.1017/S0016672300033620   Ritland K (2006). MARK - Genetic Marker Analysis Program. Version 3.1. University of British Columbia, Vancouver.   Rohlf FJ (2000). NTSYSpc Numerical Taxonomy and Multivariate Analysis System. Version 2.1. Exeter Software, Setauket.   SAS Institute (2000). SAS/ STAT Urse's Guide, Version 8. SAS Institute Inc., Cary.   Schrag TA, Möhring 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). Relationships from Sires and Maternal Grandsires of Males. In: Selection Index and Introduction to Mixed Model Methods for Genetic Improvement of Animals. CRC Press, Boca Raton, 298.   Wang J (2002). An estimator for pairwise relatedness using molecular markers. Genetics 160: 1203-1215. PMid:11901134 PMCid:1462003
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