RECURRENT SELECTION IN CNA9 HALF-SIBLINGS POPULATION OF UPLAND RICE FOR GRAIN YIELD

Publicado em 16/02/2022 - ISBN: 978-65-5941-579-3

Título do Trabalho
RECURRENT SELECTION IN CNA9 HALF-SIBLINGS POPULATION OF UPLAND RICE FOR GRAIN YIELD
Autores
  • Camila Soares Cardoso Da Silva
  • Flávia Barbosa Silva Botelho
  • José Manoel Colombari Filho
  • Amanda Mendes de Moura
  • Lenara da Silva Oliveira
  • Gilberto Alves de Miranda Silva
  • Aleska Neiva Andrade
Modalidade
Resumo
Área temática
Melhoramento de Espécies Anuais
Data de Publicação
16/02/2022
País da Publicação
Brasil
Idioma da Publicação
Inglês
Página do Trabalho
https://www.even3.com.br/anais/cbmp2021/410946-recurrent-selection-in-cna9-half-siblings-population-of-upland-rice-for-grain-yield
ISBN
978-65-5941-579-3
Palavras-Chave
Oryza sativa L., plant breeding, genetic variability.
Resumo
The development of rice cultivars with greater yield potential is one of the main challenges pursued by upland rice breeding programs. In view of the polygenic nature of this character, recurrent selection is a cyclical method of population improvement that was developed for the purpose of increasing a population’s frequency of desirable alleles and allele combinations for one or more quantitatively inherited traits, the greatest benefit of this method is the availability of parents to synthesize new populations with a broad genetic basis, which enable development of new cultivars. To increase the efficiency of recurrent selection in rice breeding programs, male genetic sterility has been used, since this provides speed and efficiency in performing polycrosses, thus allowing an increase in genetic diversity. In this context, the present study, an experiment was conduct to identify, settings based on average, the half-sib S2 progenies of the CNA9/5/1 population of recurrent selection of upland rice, in terms of performance in yield aimed for population recombination. The population used in this work was CNA 9, where its synthesis started in 1992/1993 season, using the CNA-IRAT 5 population as a source of the male genetic sterility gene (msms) and has already been submitted to five cycles of recurrent selection. Forty-two MIS2 progenies and six controls, in the 2019/2020 season, at the experimental area of the Department of Agriculture of the Federal University of Lavras, Lavras (MG) were evaluated. The design used was a randomized block, with 3 replications, consisting of 2 rows of 2 meters, spaced 0.35m between rows and sowing density of 80 seeds/meter. The evaluation of grain yield (kg/ha) was made by extrapolating the weight of the whole plot after harvest and drying to 13% moisture, transformed into kg/ha. For statiscal analyses were used the statistical program R and the averages grouped by Scott-Knott test. The variance analysis showed significant differences (p =0.05) for genotypes, indicating the presence of genetic variability between the genotypes for yield, whose range of variation was from 3982.83 kg/ha to 7823.34 kg/ha. It is important to mention that all genotypes evaluated had yield above the national average (3451 kg/ha). Among the lines, the genotypes CNA9/5/1-62-BB, CNA9/5/1-76-BB, CNA9/5/1-72-BB, CNA9/5/1-3-BB, CNA9/5/1-83- BB, CNA9/5/1-78-BB, CNA9/5/1-68-BB and CNA9/5/1-30-BB together with the controls BRS Primavera, BRS Pepita, BRS Esmeralda and BRSGO Serra Dourada stood out as those with the highest yields, being in principle the most promising to be used for population recombination.
Título do Evento
11º Congresso Brasileiro de Melhoramento de Plantas
Título dos Anais do Evento
Anais 11º Congresso Brasileiro de Melhoramento de Plantas.
Nome da Editora
Even3
Meio de Divulgação
Meio Digital

Como citar

SILVA, Camila Soares Cardoso Da et al.. RECURRENT SELECTION IN CNA9 HALF-SIBLINGS POPULATION OF UPLAND RICE FOR GRAIN YIELD.. In: Anais 11º Congresso Brasileiro de Melhoramento de Plantas.. Anais...Pelotas(RS) UFPel, 2021. Disponível em: https//www.even3.com.br/anais/cbmp2021/410946-RECURRENT-SELECTION-IN-CNA9-HALF-SIBLINGS-POPULATION-OF-UPLAND-RICE-FOR-GRAIN-YIELD. Acesso em: 24/04/2025

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