Sugarcane Family and Individual Clone Selection based on Best Linear Unbiased Predictors (BLUPS) Analysis at Single Stool Stage
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Abstract
A field trial was carried out to evaluate 544 sugarcane clones (genotypes) and 3 check cultivars under un-replicated augmented design with eight unbalanced blocks at Giza Agricultural Research Station, Egypt (latitude of 30° 0' N, and longitude of 31° 12' E) in 2016/2017 seasons. The present work deals with the estimation of variance components, heritability, prediction accuracy and efficiency of selection in a population of 19 sugarcane families at single stool stage of breeding program using REML/BLUP (Restricted Maximum Likelihood/Best Linear Unbiased Prediction). Based on one-way and augmented block design without replication, the results showed low genetic variability among the evaluated families in stalk length, diameter, weight and number per stool. The narrow-sense heritability estimates ranged between the lowest (5.98%) for stalk number/stool to the highest (52.06%) for Brix%. Analysis of variance revealed significant differences among the evaluated clones for all the traits. The mean estimated through components via BLUP facilitated the selection of six families; number (1, 10, 3, 9, 17 and 2) as superior ones, respectively. The use of the augmented block design without replication in family selection experiments proved inadequate due to the low estimates of selective accuracy and family mean heritability. Owing to the large number of families and the use of the REML/BLUP procedure, either using or not using the checks in the analysis did not alter the estimated genetic parameters. Based on the individual BLUP in sugarcane selection, high differences within family for the yield main components were detected. The highest genotypic effects and high-predicted values for stalk weight per stool were recorded by the sugarcane clones number (375, 495, 31 and 359), while the highest for Brix% were recorded by clone’s number (429, 259, 432 and 258). The results suggested that individual clone selection by BLUP procedure could indicate a higher number of promising clones for quantitative traits within families with high genotypic effects.References
Abu-Ellail FFB, El-Taib ABA, Masri MI (2017) Broad-sense heritability, genetic correlation and genetic variability of sugarcane yield components at first selection stage. Journal Sugarcane Research 7 (1): 27-34.
Almeida LM, Viana AP, Gonçalves GM, Entringer GC (2014) Selection of sugar cane full-sib families using mixed models and ISSR markers. Genetics and Molecular Research 13 (4): 9202-9212.
Barbosa MHP, Resende MDV, Bressiani JA, Silveira LCI, Peternelli LA (2005) Selection of sugarcane families and parents by REML/BLUP. Crop Breeding and Applied Technology 5: 443-450.
Barbosa MHP, Ferreira A, Peixoto LA, Resende MDV, Nascimento M, Silva FF (2014) Selection of sugar cane families by using BLUP and multi-diverse analyses for planting in the Brazilian savannah. Genetics and Molecular Research 13 (1): 1619-1626.
Bressiani JA (2001) Sequential Selection in Sugarcane. PhD Thesis, University of Sao Paulo, Piracicaba, Brazil, 134p.
Burton GW,Vane De (1953) Estimating heritability in tall fescue (Festuca arundiaceae from replicated colonial material. Agronomy Journal 45: 478-481.
Carvalho MP (2012) Efficiency of Among and Within Family Selection in Plant Breeding through Simulation. PhD. Dissertation, Federal University, Brazil, 67p.
Castro RD, Resende MDV, Marinho CD, Costa PMA, Barbosa MHP, Moreira EFA (2016) Selection between and within full-sib sugarcane families using the modified BLUPIS method (BLUPISM). Genetics and Molecular Research 15 (1): 1-10.
Chang YS, Milligan SB (1992) Estimating the potential of sugarcane families to produce elite genotypes using univariate cross prediction methods. Theoretical and Applied Genetics, 84 (5): 662-671.
Cox MC, McRae TA, Bull JK, Hogarth DM (1996) Family selection improves the efficiency and effectiveness of a sugarcane improvement program. In: Sugarcane: Research Towards Efficient and Sustainable Production, (eds. J.H. Wilson, D.M.Hogarth, J.A. Campbell and A.L. Graside). CSIRO Division of Tropical Crops and Pastures, Brisbane: 42-43.
Darwish, MAH, Abd El-Hamid EAM, Yassin MMM, Ghareeb ZE (2017) Genetic Advance and Selection Efficiency in early generations of six bread wheat crosses. Egyptian Journal of Plant Breeding 22(1): 175– 192.
Falconer, DS (1981) Introduction to Quantitative Genetics. 2nd ed. The Longman Press, London, UK: 133p.
Falconer DS, Mackay TFC (1996) Introduction to Quantitative Genetics. 4th ed. Longman, London, UK: 325p.
Federer, WT, Searle SR (1976) Model considerations and variance component estimation in augmented completely randomized and randomized complete blocks designs. BU-592-M. Cornell University, Ithaca, NY: 11p.
Federer WT, Reynolds M, Crassa J (2001) Combining results from augmented designs over sites. Agronomy Journal 93: 389-395.
Gianola D, Fernando RL (1986) Bayesian methods in animal breeding theory. Journal of Animal Science 63: 217-244
Hanson CH, Robinson HF, Comstock RE (1956) Biometrical studies of yield in segregating populations of Korean Lespedeza. Agronomy Journal, 48: 268-272.
Henderson CR (1975) Best linear unbiased estimation and prediction under a selection model. Biometrics 31 (2): 423-477.
Hogarth DM, Mullins RT (1989) Changes in the BSES plant improvement programme. Proceedings International Society of Sugar Cane Technologists 20: 956-961.
Kennedy BW (1981) Variance component estimation and prediction of breeding values. Canadian Journal of Genetics and Cytology 23: 565-578.
Kimbeng CA, Cox MC (2003) Early generation selection of sugarcane families and clones in Australia. Journal of the American Society of Sugarcane Technologists. 23: 20-39.
Mbuma NW, Zhou M, Merwe R van der (2018). Evaluating parents for cane yield in sugarcane breeding using best linear unbiased prediction analysis of progeny data derived from family plots. South African Journal of Plant and Soil: 1-8.
McRae TA, Erquiaga DL, Jensen LF, Rattey AR, Stringer JK (1998) BSES sugarcane breeding program in the Burdekin. In:Proceedings of the Australian society of sugar cane technologists. Watson Ferguson, Brisbane, pp. 196-203.
Molenaar H, Glawe M, Boehm R, Piepho, HP (2017) Selection for production-related traits in Pelargonium zonale: improved design and analysis make all the difference. Horticulture Research. 4:17004. doi: 10.1038/hortres.2017.4
Oliveira RA, Daros E, Filho JCB, Zambon JLC, Ido OT, Weber H, Resende MDV, Zeni-Neto H (2008) Selection of sugar cane families by mixed model. Scientia Agraria 9: 269-274.
Oliveira RA, Daros E, Resende MDV, Filho JCB, Zambon JLC, Souza TR, Lucius ASF (2011) BLUP is procedure and individual selection in sugarcane. Bragantia 70(4): 796-800.
Piepho HP, Möhring J, Melchinger AE, Büchse A (2008) BLUP for phenotypic selection in plant breeding and variety testing. Euphytica 161 (1/2): 209-228.
Resende MDV (2001) Improvement of perennial species. In: Genetic Resources and Plant Breeding. (eds. L.L. Nass, A.C.C. Valois, Melo 15 and M.C. Valadares-Inglis) MT Foundation, Rondonopolis, p. 357-421.
Resende MDV (2002) Biometric and statistical genetics in the improvement of perennial plants. Embrapa Information Technology, Brasilia, p. 975. (Abstract).
Resende MDV (2007) Selegen-REML / BLUP: Statistical system and computerized genetic selection using mixed linear models. Embrapa Florestas, Colombo, p. 359. (Abstract)
Silva FL, Barbosa MHP, Resende MDV, Peternelli LA, Pedrozo CÂ (2015) Efficiency of selection within sugarcane families via simulated individual BLUP. Crop Breeding and Applied Biotechnology 15: 1-9
Skinner JC, Hogarth DM, WU KK (1987) Selection methods, criteria and indices. In: Sugarcane Improvement through Breeding (ed. D. J. Heinz). Amsterdam: Elsevier. pp. 101-110.
Stringer JK, Cox MC, Atkin FC, Wei X, Hogarth DM (2011) Family selection improves the efficiency and effectiveness of selecting original seedlings and parents. Sugar Tech 13: 36-41.
Tahir M, Khalil IH, McCord PH, Glaz B, Todd J (2014) Phenotypic selection of sugarcane (Saccharum spp.) genotypes using best linear unbiased predictors. Journal of American Society of Sugar Cane Technologists 34: 44-56.
Zhou MM, Mokwele A (2015) Family versus individual plant selection for stem borer (Eldana saccharina) resistance in early stages of sugarcane breeding in South Africa. South African Journal of Plant and Soil 33: 89–96.
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