Desempenho agronômico de linhas de melancia com resistência ao oídio.

O objetivo deste trabalho foi avaliar o desempenho agronômico em termos de produtividade e características de frutos em 32 genótipos de melancia. O ensaio foi conduzido na Embrapa Semi-Árido, em Petrolina-PE, durante o período de agosto a outubro de 2005, utilizando o delineamento experimental de blocos ao acaso, com quatro repetições e parcelas com 10 plantas. As mudas foram transplantadas para o campo no espaçamento de 3 x 0,8 m. A cv ?C. Sweet? e as 31 linhas originadas do cruzamento entre ?C. Sweet? e ?CPATSA 85-030? foram avaliadas quanto a rendimento e aspectos externos e internos dos frutos. Verificou-se alto rendimento dos genótipos (33,6 a 66,7 t/ha). Na maioria das linhas, predominaram os frutos com casca rajada, com listras verde-claras alternadas com verde-escuras (96,8%), polpa vermelha (83,9%), alto teor de sólidos solúveis (10 a 12,3o Brix) (93,5%), frutos grandes (8,60 a 11,70 kg) (54,8%) e formato arredondado. Algumas linhas (9,7%) apresentaram alta prolificidade (2,9 a 2,5 frutos/planta), frutos pequenos e arredondados (4,30 a 4,60 kg) e casca rajada verde escura (3,2%). Entre os genótipos de melancia, 05.1168.003, 05.1172.004, 05.1185.001, 05.1189.003, 05.1203.007/1, 05.1194.001/1, 05.1194.005 e 05.1194.006 foram os mais promissores para a obtenção de cultivares resistentes ao oídio e com padrões de frutos para os mercados interno e externo.

Drought impact on rainfed common bean production areas in Brazil.

Common bean production in Goiás, Brazil is concentrated in the same geographic area, but spread acrossthree distinct growing seasons, namely, wet, dry and winter. In the wet and dry seasons, common beansare grown under rainfed conditions, whereas the winter sowing is fully irrigated. The conventional breed-ing program performs all varietal selection stages solely in the winter season, with rainfed environmentsbeing incorporated in the breeding scheme only through the multi environment trials (METs) wherebasically only yield is recorded. As yield is the result of many interacting processes, it is challengingto determine the events (abiotic or biotic) associated with yield reduction in the rainfed environments(wet and dry seasons). To improve our understanding of rainfed dry bean production so as to produceinformation that can assist breeders in their efforts to develop stress-tolerant, high-yielding germplasm,we characterized environments by integrating weather, soil, crop and management factors using cropsimulation models. Crop simulations based on two commonly grown cultivars (Pérola and BRS Radi-ante) and statistical analyses of simulated yield suggest that both rainfed seasons, wet and dry, can bedivided in two groups of environments: highly favorable environment and favorable environment. Forthe wet and dry seasons, the highly favorable environment represents 44% and 58% of production area,respectively. Across all rainfed environment groups, terminal and/or reproductive drought stress occursin roughly one fourth of the seasons (23.9% for Pérola and 24.7% for Radiante), with drought being mostlimiting in the favorable environment group in the dry TPE. Based on our results, we argue that eventhough drought-tailoring might not be warranted, the common bean breeding program should adapttheir selection practices to the range of stresses occurring in the rainfed TPEs to select genotypes moresuitable for these environments.

Genome selection in fruit breeding: application to table grapes.

Genomic selection (GS) has recently been proposed as a new selection strategy which represents an innovative paradigm in crop improvement, now widely adopted in animal breeding. Genomic selection relies on phenotyping and high-density genotyping of a sufficiently large and representative sample of the target breeding population, so that the majority of loci that regulate a quantitative trait are in linkage disequilibrium with one or more molecular markers and can thus be captured by selection. In this study we address genomic selection in a practical fruit breeding context applying it to a breeding population of table grape obtained from a cross between the hybrid genotype D8909-15 (Vitis rupestris × Vitis arizonica/girdiana), which is resistant to dagger nematode and Pierce?s disease (PD), and ?B90-116?, a susceptible Vitis vinifera cultivar with desirable fruit characteristics. Our aim was to enhance the knowledge on the genomic variation of agronomical traits in table grape populations for future use in marker-assisted selection (MAS) and GS, by discovering a set of molecular markers associated with genomic regions involved in this variation. A number of Quantitative Trait Loci (QTL) were discovered but this method is inaccurate and the genetic architecture of the studied population was better captured by the BLasso method of genomic selection, which allowed for efficient inference about the genetic contribution of the various marker loci. The technology of genomic selection afforded greater efficiency than QTL analysis and can be very useful in speeding up the selection procedures for agronomic traits in table grapes.

Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs.

The aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genome-wide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four biologically interpretable factors: ?weight?, ?fat?, ?loin?, and ?performance?. These factors were used as dependent variables in multiple regression models of genomic selection (Bayes A, Bayes B, RR-BLUP, and Bayesian LASSO). The use of FA is presented as an interesting alternative to select individuals for multiple variables simultaneously in GWS studies; accuracy measurements of the factors were similar to those obtained when the original traits were considered individually. The similarities between the top 10% of individuals selected by the factor, and those selected by the individual traits, were also satisfactory. Moreover, the estimated markers effects for the traits were similar to those found for the relevant factor.

Resistance to Fusarium wilt in common bean cultivars and lines in pre-commercial stage.

The objective of this study was to identify common bean cultivars with resistance to Fusarium wilt.

Phenotypic and molecular characterization of common bean genotypes for resistance to anthracnose.

This study aimed to perform phenotypic and molecular characterization of cultivars and breeding lines of common bean for resistance to anthracnose.

Selection between and within full-sib sugarcane families using the modified BLUPIS method (BLUPISM).

2016

Pyramided lines of "carioca" common bean and their reaction to Pseudocercospora griseola.

The present work aimed to characterize lines produced by the Breeding Program of Common Bean (PMGF) of the Federal University of Viçosa (UFV), called ?Ruda R3? and ?Pérola R1?, in reaction to different races of P. griseola.

Marker-assisted selection integrated to the embrapa common bean breeding program.

The establishment of a specific Marker-Assisted Selection Facility at the Embrapa Rice and Beans Biotechnology Laboratory, in 2014, has better supported the routine analysis with molecular markers demanded by the Embrapa Common Bean Breeding Program. In addition, it has also supported other Embrapa plant breeding programs, such as rice and cotton.

Productivity, adaptability and stability of production of special grain common bean lines in different environments of Minas Gerais, Brazil.

This study aimed to select special grain bean lines with high productivity, adaptability and stability of production, evaluated in different environments of the Minas Gerais State, Brazil.

Association mapping provides insights into the origin and the fine structure of the sorghum aluminum tolerance locus, AltSB.

2014

Identification of common bean resistant sources to angular leaf spot disease in a brazilian germplasm collection.

The aim of this study was to identify sources of resistance in the germplasm collection providing information of potential sources of resistance to introduce in breeding programs.

Reaction of common bean lines to Pseudocercospora griseola in different enviromental conditions.

This study aimed to compare the reaction of common bean lines to Pseudocercospora griseola in different enviromental conditions.

Predictive ability of Genomic Estimated Family Values (GEFV).

Genomic selection (GS) has been used to compute genomic estimated breeding values (GEBV) of individuals; however, it has only been applied to animal and major plant crops due to high costs. Besides, breeding and selection is performed at the family level in some crops. We aimed to study the implementation of genome-wide family selection (GWFS) in two loblolly pine (Pinus taeda L.) populations: i) the breeding population CCLONES composed of 63 families (5-20 individuals per family), phenotyped for four traits (stem diameter, stem rust susceptibility, tree stiffness and lignin content) and genotyped using an Illumina Infinium assay with 4740 polymorphic SNPs, and ii) a simulated population that reproduced the same pedigree as CCLONES, 5000 polymorphic loci and two traits (oligogenic and polygenic). In both populations, phenotypic and genotypic data was pooled at the family level in silico. Phenotypes were averaged across replicates for all the individuals and allele frequency was computed for each SNP. Marker effects were estimated at the individual (GEBV) and family (GEFV) levels with Bayes-B using the package BGLR in R and models were validated using 10-fold cross validations. Predicted ability, computed by correlating phenotypes with GEBV and GEFV, was always higher for GEFV in both populations, even after standardizing GEFV predictions to be comparable to GEBV. Results revealed great potential for using GWFS in breeding programs that select families, such as most outbreeding forage species. A significant drop in genotyping costs as one sample per family is needed would allow the application of GWFS in minor crops.

Cytogenetic characterization of the Passiflora edulis Sims x Passiflora cincinnata Mast. interspecific hybrid and its parents.

The genus Passiflora L. consists of approximately 530 widely distributed species, including Passiflora edulis, which has drawn interest because of its commercial and agronomic value. Passiflora cincinnata is another important species owing to its long flowering period and resistance or tolerance to diseases and pests. In the present study, the meiotic segregation and pollen viability of an interspecific hybrid (P. edulis x P. cincinnata) and its parents were analyzed. The genomic contents were characterized using chromomycin A3 (CMA3)/40-60-diamidino-2-phenylindole (DAPI) staining, fluorescent in situ hybridization with 5S/45S ribosomal DNA (rDNA), genomic in situ hybridization (GISH), and inter-simple sequence repeat (ISSR) markers. The results indicated the diploid chromosome number for the parents and interspecific hybrid was 2n = 18. We also observed regular meiosis, one pair of S rDNA sites, and two pairs of 45S rDNA sites that colocalized with two pairs of CMA3 /DAPI- bands. The GISH data revealed three distinct chromosomal groups in the hybrid. The genetic origins of the interspecific hybrid, and its relationship with its parents were also confirmed using ISSR markers.