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Combined BLUP selection indexes with parents and F2 populations in soybean (Glycine max) breeding. This study aimed to apply selection indexes in situations in which F2 populations and their parents are evaluated simultaneously in field trials to predict population genotypic values and selecting th... ... Repositório: BDPA Ano de publicação: 2023
Very early biomarkers screening for water deficit tolerance in commercial eucalyptus clones. The identification of genotypes more tolerant to water deficit is a challenge to breeding programs. In this research, our objectives were to identify and validate traits for tolerance to water deficit... ... Repositório: BDPA Ano de publicação: 2023
Marker-assisted recurrent selection for pyramiding leaf rust and coffee berry disease resistance alleles in Coffea Arabica L. Abstract: In this study, marker-assisted recurrent selection was evaluated for pyramiding resistance gene alleles against coffee leaf rust (CLR) and coffee berry diseases (CBD) in Coffea arabica. A to... ... Repositório: BDPA Ano de publicação: 2023
Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures. The biggest challenge in the alfalfa breeding program is to obtain cultivars with high persistence, high productivity, and adaptability. Therefore, studies about selection methods are necessary for th... ... Repositório: BDPA Ano de publicação: 2023
Factor analysis for plant and production variables in Coffea canephora in the Western Amazon. The evaluation of morphological characters related to the hulled coffee yield subsidizes the selection of Coffea canephora plants that combine a set of favorable traits. However, the greater the numbe... ... Repositório: BDPA Ano de publicação: 2022
Potential of dry matter yield from alfalfa germplasm in composing base populations. The aim of this study was to obtain estimates of genetic parameters via meta-analysis and mixed models to evaluate the potential of the germplasm from Embrapa Pecuaria Sudeste for integration in breed... ... Repositório: BDPA Ano de publicação: 2021
Machine learning and statistics to qualify environments through multi-traits in Coffea arabica. Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in the coffee production chain. Determining the influence of these factors is of... ... Repositório: BDPA Ano de publicação: 2021
Marker-assisted pyramiding of multiple disease resistance genes in coffee genotypes (coffea arabica). The use of resistant cultivars is the most effective strategy for controlling coffee leaf rust caused by the fungus Hemileia vastatrix. To assist the development of such cultivars, amplified fragment-... ... Repositório: BDPA Ano de publicação: 2021
Combining ability and molecular marker approach identified genetic resources to improve agronomic performance in coffea arabica breeding. Plant breeding aims to develop cultivars with good agronomic traits through gene recombination and elite genotype selection. To support Coffea arabica breeding programs and assist parent selection, mo... ... Repositório: BDPA Ano de publicação: 2021
Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms. Genomic selection (GS) emphasizes the simultaneous prediction of the genetic effects of thousands of scattered markers over the genome. Several statistical methodologies have been used in GS for the p... ... Repositório: BDPA Ano de publicação: 2021

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