Caracterização genética por modelos mistos de uma população de linhas puras recombinantes de arroz irrigado
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2017-05-30
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Universidade Federal de Goiás
Resumo
Improving rice yield has been a big challenge for rice breeding programs around the world. One alternative
to identify inbred lines with high yield potential, and discover genes related to yield and its components is to
explore the genic pool of the population originated from crosses between cultivars not regularly used, as
those introduced from another country. The objective of this study was characterizing a recombinant inbred
lines population from the cross between Maninjau and Epagri 108. There were evaluated 296 RILs in
experiments conducted in Goianira (GO), Boa Vista (RR) and Pelotas (RS), in 2016. In the experiments in
GO and RR, the alpha lattice design (17x18) with two replications were used, and in Pelotas was applied the
BAF design. Data were collected for yield (PD) and plant height (AP) in the three places, days to flowering
(DF), in RR and GO, 100-grain weight (PG), in RS and GO and leaf blast resistance (BS), in GO. The data
were analyzed by a mixed model with the deviance analysis. Variance components were estimated by
REML/BLUP and the genetic parameters and correlation coefficients were calculated. The statistics
parameters as CV e , CV g , CV r and selective accuracy were also estimated. The G x E interaction analysis
was processed by the MHPRVG method. Also, the genetic distances between the progenies that had highest
breeding values in each place and their relatives (Maninjau and Epagri 108), was estimated, using a 24 SSR
markers panel. For Boa Vista and Goianira, most of the highest yield RILs were like the parental Epagri
108. Most of the random effects of the statistic model used in this study were significant. The RILs
population showed genetic variability inside (σ g2 significant). The experimental precision in RR and GO
was from good to excellent with accuracy over 90% and in RS it was moderate (~50%), probably because
of the environmental effect action. Yield showed moderate heritability (0,67) and the characters DF, AP
and PG showed high heritability (>0,90). Positive significant correlation was observed between the
characters PD and PG, and DF and AP, however the last one showed negative correlation with yield. Nine
RILs had the best performance by the MHPRVG, and it was above 30% of the general mean. They are
recommended for the breeding program use. The RIL 105 were ranked as the best for stability, adaptability
and yield, simultaneously. These results suggest that there is a significant genetic variation between the
RILs evaluated. Therefore, this population might be used either in selection of high yield performance
genotypes or for QTL mapping foragronomic traits in many environments.
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GARCIA, A. L. B. Caracterização genética por modelos mistos de uma população de linhas puras recombinantes de arroz irrigado. 2017. 137 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2017.