Diallel Analysis: Choosing Parents to Introduce New Variability in a Recurrent Selection Population

Paulo Henrique Ramos Guimarães (), Adriano Pereira de Castro, José Manoel Colombari Filho, Paula Pereira Torga, Paulo Hideo Nakano Rangel and Patrícia Guimarães Santos Melo
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Paulo Henrique Ramos Guimarães: Escola de Agronomia, Universidade Federal de Goiás, Rodovia GO-462, km 0, Campus Samambaia, Goiânia 74001-970, GO, Brazil
Adriano Pereira de Castro: Embrapa Arroz e Feijão, Rodovia GO-462, km 12, Santo Antônio de Goiás 75375-000, GO, Brazil
José Manoel Colombari Filho: Embrapa Arroz e Feijão, Rodovia GO-462, km 12, Santo Antônio de Goiás 75375-000, GO, Brazil
Paula Pereira Torga: Embrapa Arroz e Feijão, Rodovia GO-462, km 12, Santo Antônio de Goiás 75375-000, GO, Brazil
Paulo Hideo Nakano Rangel: Embrapa Arroz e Feijão, Rodovia GO-462, km 12, Santo Antônio de Goiás 75375-000, GO, Brazil
Patrícia Guimarães Santos Melo: Escola de Agronomia, Universidade Federal de Goiás, Rodovia GO-462, km 0, Campus Samambaia, Goiânia 74001-970, GO, Brazil

Agriculture, 2023, vol. 13, issue 7, 1-16

Abstract: Selecting appropriate donors and acquiring information about the genetic basis of inheritance is essential for breeding programs. In this study, a diallel cross was produced by crossing 15 progenies with five commercial lines of wide diversity for different rice traits (grain yield, plant height, days to flowering, panicle blast, brown spots, leaf scald, and grain discoloration) in an incomplete crossing design. The 20 parents and the 25 F 2 crosses constituting the diallel cross were evaluated in a triple lattice design for different traits in a field test. The analysis of variance revealed significant differences between parents and their crosses for all traits, showing high variability. The general combining ability ( G C A ) and the specific combining ability ( S C A ) were significant, with a greater contribution of the S C A compared to G C A for the variation among crosses, indicating that non-additive effects were more prevalent for the traits evaluated. The results suggested that commercial lines such as IRGA 424 and BRS Catiana can be used to improve CNA 12T population.

Keywords: rice; Griffing’s method; additive and non-additive gene effects; genetic parameters (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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