Restricted selection indexes used in sour passion fruit intrapopulational recurrent selection
Abstract
Sour passion fruit has great relevance for Brazil by its socioeconomic importance. Although it is one of the most important fruit trees in the Brazilian fruit production, its productivity is still very low due to the lack of genotypes that are homogenous, productive, and adapted to the different regions of the country. This denotes the need for advances in genetic improvement of this fruit species. In this context, the objective of this work was to estimate genetic gains in sour passion fruit progenies under intrapopulation recurrent selection, using different restricted selection indexes: Kempthorne & Nordskog, Tallis, and James; and non-restricted selection indexes: Smith, Hazel, and Mulamba & Mock. Thus, 13 agronomic characteristics were evaluated in 118 full-sib families and three controls. The selection indexes used to obtain the genetic gains were Mulamba & Mock, Smith, Hazel, and Kempthorne & Nordskog, with the assignment of random weights. The Tallis index was applied to the restriction for fruit mass, and the restriction of James for productivity gains. The Genes program was used to analyze the selection indexes. The restricted selection indexes of Kempthorne & Nordskog, Tallis, and James are more suitable for the selection of full-sib families of sour passion fruit than the Smith, Hazel, and Mulamba & Mock non-restricted selection indexes, and can be applied in recurrent selection programs. The results indicate that the addition of the restrictions proposed by Tallis and James are not efficient for increasing gains when compared to the Kempthorne & Nordskog, since they obtained similar gains.
Downloads
References
BHERING, L. L.; LAVIOLA, B. G.; SALGADO, C. C.; SANCHEZ, C. F. B.; ROSADO, T. B.; ALVES, A. A. Genetic gains in physic nut using selection indexes. Pesquisa Agropecuária Brasileira, Brasília, DF, n. 47, v. 3, p. 402-408, 2012.
BIZARI, E. H.; VAL, B. H. P.; PEREIRA, E. D. M.; MAURO, A. O. D.; UNÊDA-TREVISOLI, S. H. Selection indices for agronomic traits in segregating populations of soybean. Revista Ciência Agronômica, Fortaleza, v. 48, n. 1, p. 110-117, 2017.
BORGES, A. L.; CALDAS, R. C.; LIMA, A. de A. Sources and doses of nitrogen in fertirrigation of yellow passion-fruit cultivation. Revista Brasileira de Fruticultura, Jaboticabal, v. 28, n. 2, p. 301 304, 2006.
BRASIL. Ministério da Agricultura, Pecuária e Abastecimento. Proteção de Cultivares no Brasil. 2011. Disponível em: http://www.agricultura.gov.br/arq_editor/file/Livro_Protecao_Cultivares.pdf. Acesso em: 15 fev. 2016.
BRUCKNER, C. H.; PICANÇO, M. C. Maracujá: tecnologia de produção, pós colheita, agroindústria, mercado. Cinco Continentes: Porto Alegre, 2001.
CRUZ, C. D. Programa Genes: biometria. Viçosa: Editora UFV, 2006.
CRUZ, C. D. Programa genes: a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum, Maringá, v. 35, n. 3, p. 271-276, 2013.
CRUZ, C. D.; CARNEIRO, P. C. S.; REGAZZI, A. J. Modelos biométricos aplicados ao melhoramento genético. 4. ed. v. 1. Viçosa: Editora UFV, 2012.
CRUZ, C. D.; CARNEIRO, P. C. S.; REGAZZI, A. J. Modelos biométricos aplicados ao melhoramento genético. Viçosa: Editora UFV, 2014.
DALBOSCO, E. Z.; KRAUSE, W.; NEVES, L. G.; ARAÚJO, D. V. D.; HIEGA, K. M. R.; SILVA, C. G. D. Parametric and non-parametric indexes applied in the selection of sour passion fruit progenies. Revista Brasileira de Fruticultura, Jaboticabal, v. 40, n. 1, 2018.
EMPRESA BRASILEIRA DE PESQUISA AGROPECUÁRIA – EMBRAPA. Sistema brasileiro de classificação de solos. Embrapa-SPI, Rio de Janeiro, 2006.
FARIA, L. C.; QUEIROZ, A. S.; LÔBO, R. B.; BUZANSKAS, M.; VENTURINI, M. E.; MUNARI, G. C.; OLIVEIRA, J. A. Análise genética de características reprodutivas na raça Brahman. Archivos de zootecnia, Córdoba, Espanha, n. 61, p. 567, 2012.
HAFLE, O. M.; RAMOS, J. D.; LIMA, L. C. O.; FERREIRA, E. A.; MELO, P. C. Produtividade e qualidade de frutos do maracujazeiro-amarelo submetido à poda de ramos produtivos. Revista Brasileira de Fruticultura, Jaboticabal, v. 31, n. 3, p. 763-770, 2009.
HAMBLIN, J.; ZIMMERMAN, M. J. O. Breeding common bean for yield mixtures. Plant Breeding Reviews, Hoboken, v. 4, p. 245-272, 1986.
HAZEL, H. N. The genetic basis for constructing selection indexes. Genetics, Bethesda, v. 28, n. 6, p. 476-490, 1943.
IBGE. Quantidade produzida, valor da produção, área plantada e área colhida da lavoura permanente no ano de 2014. Disponível em: http://www.sidra.ibge.gov.br. Acesso em: 6 fev. 2016.
JAMES, J. W. Index selection with restrictions. Biometrics, Hoboken, v. 24, n. 1, p. 1015-1018, 1968.
KEMPTHORNE, O.; NORDSKOG, A. W. Restricted selection indexes. Biometrics, Hoboken, v. 1, p. 10-19, 1959.
KRAUSE, W.; NEVES, L. G.; VIANA, A. P.; ARAÚJO, C. A. T.; FALEIRO, F. G. Productivity and fruit quality of yellow passion fruit cultivars with or without artificial pollination. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 47, n. 12, p. 1737-1742, 2012.
MARTINS, J. A.; DALLACORT, R.; INOUE, M. H.; SANTI, A.; KOLLING, E. M.; COLETTI, A. J. Probability of precipitation for the microregion of Tangará da Serra, Mato Grosso state, Brazil. Pesquisa Agropecuária Tropical, Goiânia, v. 40, n. 3, p. 291-296, 2010.
MULAMBA, N. N.; MOCK, J. J. Improvement of yield potential of the Eto blanco maize (Zea mays L.) popula¬tion by breeding for plant traits. Egypitian Journal of Genetics and Cytology, Cairo, v. 7, p. 40-51, 1978.
NASCIMENTO, T. B.; RAMOS, J. D.; MENEZES, J. B. Physical characteristics of the yellow passion fruit produced in different seasons. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 34, n. 12, p. 2353-2358, 1999.
NASCIMENTO, W. M. O. do.; TOMÉ, A. T.; OLIVEIRA, M. do S. P. de.; CARVALHO, J. E. U. Selection of progenies of yellow passion fruit (passiflora edulis f. flavicarpa) to fruit quality. Revista Brasileira de Fruticultura, Jaboticabal, v. 25, n. 1, p. 186-188, 2003.
NEVES, L. G.; BRUCKNER, C. H.; CRUZ, C. D.; VIANA, A. P.; BARELLI, M. A. A. Gain prediction with different selection index for yellow passion fruit characterization. Revista Brasileira de Fruticultura, Jaboticabal, v. 33, n. 4, p. 1322-1330, 2011.
PEDROZO, C. A.; BENITES, F. R. G.; BARBOSA, M. H. P.; RESENDE, M. D. V.; SILVA, F. L. Efficiency of selection indexes using the REML/BLUP procedure in sugarcane breeding. Scientia Agrária, Curitiba, v. 10, n. 1, p. 31-36, 2009.
PESEK, J.; BAKER, R. J. Desired improvement in relation to selected indices. Canadian. Journal of Plant Science, New York, n. 49, p. 803-804, 1969.
SILVA, M. G. DE M.; VIANA, A. P. Alternatives of selection in a yellow passion fruit population under intrapopulation recurrent selection. Revista Brasileira de Fruticultura, Jaboticabal, v. 34, n. 2, p. 525-531, 2012.
SMITH, H. F. A discriminant function for plant selection. Annals of Eugenics, Hoboken, v. 7, p. 240-250, 1936.
SOUSA LEITE, W.; PAVAN, B. E.; MATOS FILHO, C. H. A.; ALCANTARA NETO, F.; OLIVEIRA, C. B. de; FEITOSA, F. S. Estimativas de parâmetros genéticos, correlações e índices de seleção para seis caracteres agronômicos em linhagens F8 de soja. Comunicata Scientiae, Bom Jesus, v. 7, n. 3, p. 302-310, 2016.
TALLIS, G. M. A selection index for optimum genotype. Biometrics, Hoboken, v. 18, n. 2, p. 120-122, 1962.
TEODORO, P. E.; BARROSO, L. M. A.; NASCIMENTO, M.; TORRES, E. S.; SANTOS, A.; RIBEIRO, L. P. Redes neurais artificiais para identificar genótipos de feijão-caupi semiprostrado com alta adaptabilidade e estabilidade fenotípicas. Pesquisa Agropecuária Brasileira, Brasília, DF, n. 50, p. 1054-1060, 2015.
WILLIANS, J. S. The evaluation of a selection index. Biometrics, Hoboken, v. 18, n. 1, p. 375-393, 1962.
Authors retain copyright and grant the Journal the right to the first publication. Authors are encouraged to and may self-archive a created version of their article in their institutional repository, or as a book chapter, as long as acknowledgement is given to the original source of publication. As the Journal provides open access to its publications, articles may not be used for commercial purposes. The contents published are the sole and exclusive responsibility of their authors; however, the publishers can make textual adjustments, adaptation to publishing standards and adjustments of spelling and grammar, to maintain the standard patterns of the language and the journal. Failure to comply with this commitment will submit the offenders to sanctions and penalties under the Brazilian legislation (Law of Copyright Protection; nº 9,610; 19 February 1998).
.jpg)
