Genetic progress of the CNA6 populacion after four cycles of recurrent selection.

The objectives of this study were to estimate genetic progress in grain yield (GY) achieved in the CNA6 population of upland rice after four cycles of recurrent selection by the Brazilian Agricultural Research Corporation; and evaluate the genetic potential of this population to generate superior inbred lines after each cycle. This population was synthesized in the 1993/94 crop year by incorporating the alleles from 27 parents into the CNA-IRAT 5/2/1 population

Avaliação de arroz de terras altas do grupo indica, sob condições de irrigação adequada e de deficiência hídrica.

O objetivo do trabalho foi avaliar o comportamento produtivo de genótipos de arroz de terras altas do grupo indica, em ambientes de irrigação adequada e de deficiência hídrica

Avaliação genotípica de linhagens de arroz de terras altas através de modelos mistos, para o Estado do Mato Grosso.

O presente estudo avaliou o desempenho de genótipos de arroz de terras altas do programa de melhoramento da Embrapa, através da metodologia de modelos mistos. Para isso, foram utilizados os dados de produção de grãos (PG) dos ensaios de ?valor de cultivo e uso? (VCU) conduzidos em cinco locais do estado do Mato Grosso no período de 2005/06 a 2009/10

Comportamento produtivo de linhagens de arroz do grupo Indica sob irrigação adequada e sob deficiência hídrica.

O objetivo do trabalho foi avaliar o comportamento produtivo de genótipos de arroz de terras altas do grupo Indica, em ambientes de irrigação adequada e de deficiência hídrica, visando à identificação de genitores tolerantes ao estresse hídrico, que poderão ser usados em cruzamentos com outros genitores de alto potencial agronômico e inseridos em populações de seleção recorrente para tolerância à deficiência hídrica.bitstream/CNPAF-2010/29742/1/comt-180.pd

Relevance of additive and non-additive genetic relatedness for genomic prediction in rice population under recurrent selection breeding

In genomic recurrent selection programs of self-pollinated crops, additive genetic effects (breeding values) are effectively relevant for selection of superior progenies as new parents. However, considering additive and nonadditive genetic effects can improve the prediction of genome-enhanced breeding values (GEBV) of progenies, for quantitative traits. In this study, we assessed the magnitude of additive and nonadditive genetic variances for eight key traits in a rice population under recurrent selection, using marker-based relationship matrices. We then assessed the goodness-to-fit, bias, stability and accuracy of prediction for breeding values and total (additive plus nonadditive) genetic values, in five genomic best linear unbiased prediction (GBLUP) models, ignoring or not nonadditive genetic effects. The models were compared using 6174 single nucleotide polymorphisms (SNP) markers from 174 S1:3 progenies evaluated in field yield trial. We found dominance effects accounting for a substantial proportion of the total genetic variance for the key traits in rice, especially for days to flowering. In average of the traits, the component of variance additive, dominance, and epistatic contributed to about 34%, 14% and 9% for phenotypic variance. Additive genomic models, ignoring nonadditive genetic effects, showed better fit to the data and lower bias, in addition to greater stability and accuracy for predict GEBV of progenies. These results improve our understanding of the genetic architecture of the key traits in rice, evaluated in early-generation testing. Clearly, this study highlighted the advantages of additive models using genome-wide information, for genomic prediction applied to recurrent selection in a self-pollinated crop

Feasibility of using physiological parameters to select upland rice genotypes with tolerance to water deficit.

This study aimed to evaluate the feasibility of using physiological parameters of water deficit tolerance as an auxiliary method in selecting upland rice genotypes for regions with irregular rainfall distribution

Detecção e controle de Lasiodiplodia theobromae em sementes de graviola (Annona muricata L.).

bitstream/CNPAT-2010/11915/1/bd-27.pd

Construção de um repositório de dados do programa de melhoramento de arroz da Embrapa.

Este resumo descreve a organização de um repositório de dados do melhoramento de arroz da Embrapa, utilizando-se o sistema gerenciador de documentos KnowledgeTree (www.knowledgetree.com)