Estimates of parameters, prediction and selection of an oil palm population in Ecuador
Estimativas de parámetros, predicción y selección en progenies de palma aceitera en Ecuador
Keywords:
Elaeis guineensis Jacq, Genetic parameters, Blup, Clusters, Selection index (en)Elaeis guineenses Jacq, Parámetros genéticos, Blup, Agrupamiento, Índice de selección (es)
Was used the REML/BLUP method to estimate the genetic parameters, select the best plants of Dura x Dura full-sib families, study the trait correlations, group families by multivariate similarity and to determine the number of repeated measurements required for the selection of the traits (bunch number, fresh fruit bunch yield and average bunch weight). Twenty-four families developed in three trials were tested, together with one control per test from the genebank of the experimental station of Santo Domingo - INIAP in Ecuador. The evaluation lasted five years and was arranged in a randomized block design with 12 plants per plot and four replications. The population variability for traits and genetic heritability between plots was close to that found within plots. The genetic gain of the 10 selected plants, was 43% higher than the overall average. The correlation was low and negative only between bunch number and average bunch weight. By Tocher cluster analysis, six groups were formed, and in group IV, families selected by average ranking (3A, 5C, and 7B). It was concluded that the BLUP estimates are encouraging with a view to a continuous breeding program of oil palm, with the possibility of maximizing genetic gains in future generations.
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References
Barros M, Pires I, Barros R, Xavier A and Cruz C. 2006. Avaliação genética de progênies de meio-irmãos de Eucalyptus grandis por meio dos procedimentos REML/BLUP e da ANOVA. Scientia Forestalis 71: 99-107.
Bhering LL, Barrera CF, Ortega D, Laviola BG, Alves AA, Rosado TB and Cruz CD. 2013. Differential response of Jatropha genotypes to different selection methods indicates that combined selection is more suited than other methods for rapid improvement of the species. Industrial Crops and Products 41: 260–265. doi: 10.1016/j.indcrop.2012.04.026
Corley RHV and Gray BS. 1976. Yield and yield components. pp. 77-86. In: Corley RHV, Hardon JJ and Wood BJ.(eds.). Oil palm research. Elsevier, Amsterdam.
Corley RH and Tinker PB. 2009. La palma de aceite. Maldonado E, Maldonado F (trad.). 4 ed. Fedepalma, Bogotá. CO. Edit. Blackwell Publishing Ltd, Oxford. 604 p.
Cros D, Denis M, Sanchez L, Cochard B, Flori A, Durand-Gasselin T, Nouy B, Omore A, Pomies V, Riou V, et al. 2015. Genomic selection prediction accuracy in a perennial crop: case study of oil palm (Elaeis Guineensis Jacq.). Theoretical and Applied Genetics 128(3): 397–410. doi: 10.1007/s00122-014-2439-z
Cruz CD and Regazzi AJ. 1994. Modelos biométricos aplicados ao melhoramento genético. Universidade Federal de Viçosa, Viçosa, MG. 390 p.
Cruz CD and Carneiro PCS. 2006. Modelos biométricos aplicados ao melhoramento genético, v.2. Segunda edición. Ed. UFV, Universidade Federal de Viçosa, Viçosa, MG. 585 p.
Fedapal. 2011. Fundación de Fomento de Exportaciones de Aceite de Palma y sus Derivados de origen Nacional. Producción, consumo y excedente de aceite de palma. Destino de exportaciones de aceite de palma ecuatoriano. Acesso em: Maio 2013.
Ferreira CBB, Lopes MTG, Lopes R, Cunha RNV, Moreira DA, Barros W S and Matiello RR. 2012. Diversidade genética molecular de progênies de dendezeiro. Pesquisa Agropecuaria Brasileira 47(3): 378-384. doi: 10.1590/s0100-204x2012000300009
Gomes M, Biondi A, Brianezi T and Glass V. 2009. O Brasil dos agrocombustíveis. Impactos das lavouras sobre a terra, o meio e a sociedade - Gordura animal, Dendê, Algodão, Pinhão-Manso, Girassol e Canola. Centro de Monitoramento dos Agrocombustíveis, Brasil. 69 p.
Henderson CR and Quaas RL. 1976. Multiple trait evaluation using relatives ́ records. Journal of Animal Science 3: 1188-1197.
Instituto Nacional de Estadística y Censo. INEC. 2010. Datos estadísticos agropecuarios. En: Sistema Estadístico Agropecuario Nacional -SEAN. Resumen ejecutivo encuesta de superficie y producción agropecuaria continua - ESPAC. Quito-Ecuador. em: http://www.ecuadorencifras.gob.ec/estadisticas-agropecuarias-2/. 14 p. consulta: noviembre 2017.
Kwong QB, Teh CK, Ong AL, Heng HY, Lee HL, Mohamed M, Low JZ, Sukganah A, Chew FT, Mayes S, et al. 2016. Development and validation of a high density SNP genotyping Array for African oil palm. Molecular Plant 9(8): 1132–1141. doi: 10.1016/j.molp.2016.04.010
Kwong QB, The CK, Ong AL, Chew FT, Mayes S, Kulaveerasingam H, Tammi M, Yeoh SH, Appleton DR and Harikrishna JA. 2017. Evaluation of methods and marker Systems in Genomic Selection of oil palm (Elaeis guineensis Jacq.). BMC Genetics 18(107): 2-9.doi: 10.1186/s12863-017-0576-5
Leung DYC and Guo Y. 2006. Transesterification of neat and used frying oil: optimization for biodiesel production. Fuel Processing Technology 87(10): 883-890. doi: 10.1016/j.fuproc.2006.06.003
Lertsathapornsuk V, Pairintra R, Aryusuk K, Krisnangkura K. 2008. Microwave assisted in continuous biodiesel production from waste frying palm oil and its performance in a 100 kW diesel generator. Fuel Processing Technology 89(12): 1330-1336. doi: 10.1016/j. fuproc.2008.05.024
Lim KC and Chan KW. 1998. Bunch component studies over the past two decades. In: Proc.1996 Int. Conf. Oil and kernel production in oil palm a global perspective. Ed. By N. Rajanaidu IE, Henson and Jalani BS. Palm oil Research Institute. Malaysia, Kuala Lumpur. pp. 133-150.
Lopes R, Cunha RNV and Resende MDV. 2012. Produção de cachos e parâmetros genéticos de híbridos de caiaué com dendezeiro. Pesquisa Agropecuária Brasileira 47(10): 1496-1503. doi: 10.1590/ s0100-204x2012001000012
Meng X, Chen G, Wang Y. 2008. Biodiesel production from waste cooking oil via alkali catalyst and its engine test. Fuel Processing Technology 89(9): 851-857. doi: 10.1016/j.fuproc.2008.02.006
Mulamba NN and Mock JJ. 1978. Improvement of yield potential of the Eto Blanco maize (Zea mays L.) population by breeding for plant traits. Egypt Journal of Genetics and Cytology 7: 40-51.
Musa BB, Saleh GB and Loong SG. 2004. Genetic variability and broad-sense heritability in two Deli-AVROS D × P breeding populations of the oil palm (Elaeis guineensis Jacq.). SABRAO. Journal of Breedingand Genetics 36: 13–22.
Noh A, Rafii MY, Mohd Din A, Kushairi A, Norziha A, Rajanaidu N, Latif MA, Malek MA. 2014. Variability and performance evaluation of introgressed Nigerian dura x deli dura oil palm progenies. Genetics and Molecular Research 13(2): 2426–2437. doi: 10.4238/2014.april.3.15
Okoye MN, Okwuagwu CO and Uguru MI. 2009. Population improvement for fresh fruit bunch yield and yield components in oil palm (Elaeis guineensis Jacq). American-Eurasian Journal of Scientific Research 4: 59-63.
Okoye MN. 2007. Population improvement and stability of bunch yield components of NIFOR second cycle oil palm hybrids. University of Nigeria, Nsukka. 33 p.
Ooi SC, Hardon JJ and Phang S. 1973. Variability in the Deli dura breeding population of the oil palm (Elaeis guineensis Jacq). I Components of bunch yield. Malaysian Agricultural Journal 49: 112-121.
Ortega DSC, Ferreira FM, Barros WS, Cruz CD, Dias LAS and Rocha RB 2008a. Selection among and within and combined selection in oil palm families derived from Dura x Dura. Ciência Rural 38(1): 65- 71. doi: 10.1590/s0103-84782008000100011
Ortega DSC, Barros WS, Ferreira FM, Dias LAS, Rocha RB and Cruz CD. 2008b. Correlation and repeatability in progenies of African oil palm. Acta Scientiarum 30(2): 197-201.x.
Ramalho MA and Lambert E. 2004. Biometria e o melhoramento de plantas na era da genômica. Revista Brasileira de Milho e Sorgo 3(2): 228-249. doi: 10.18512/1980-6477/rbms.v3n2p228-249
Rafii M, Rajanaidu N, Jalani B and Kushairi A. 2002. Performance and heritability estimations on oil palm progenies tested in different environments. Journal of Oil Palm Research 14: 15–24.
Resende MDV. 2007. Software SELEGEN-REML/BLUP, Sistema estatístico e seleção genética computarizada via modelos lineares mistos. Colombo, Embrapa Floresta. 359 p.
Resende MDV and Duarte JB. (2007) Precisão e Controle de Qualidade em Experimentos de Avaliação de Cultivares. Pesquisa Agropecuária Tropical 37: 182-194
Resende MDV. 2002. Genética Biométrica e Estatística no Melhoramento de Plantas Perenes. Brasília, Embrapa. 975 p.
Rosenquist EA. 1985. The genetic base of oil palm breeding populations. Proceedings of the International Workshop on Oil Palm Germplasm and Utilization. pp. 27-59.
Soh AC. 1994. Ranking parents by best linear unbiased prediction (BLUP) of breeding values in oil palm. Euphytica 76(1-2): 13-21. doi: 10.1007/bf00024016
Sparnaaij LD. 1969. Oil palm –Elaeis guineensis Jacquin. PP. 339387. In: Ferwerda FP and Wit F (eds.). Outlines of perennial crop breeding in the tropics . Veenman and Zonen, Wageningen.
Van der Vossen HAM. 1974. Towards more efficient selection for oil yield in the oil palm (Elaeis guineensis, Jacquin). Thesis. Centre for Agricultural Publishing and Documentation, Wageningen. 107 p.
Wong C and Bernardo R. 2008. Genomewide selection in oil palm: increasing selection gain per unit time and cost with small populations. Theoretical and Applied Genetics 116(6): 815-824. doi: 10.1007/s00122-008-0715-5
Yang Z and Xie W. 2007. Soybean oil transesterification over zinc oxide modified with alkali earth metals Fuel Processing Technology 88(6): 631-638. doi: 10.1016/j.fuproc
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