ABSTRACT. Use of multivariate statistical algorithms is considered an important strategy to quantify genetic similarity. Local varieties and traditional (heirloom) seeds of genotypes are key sources of genetic variation. The Universidade Estadual do Norte Fluminense (UENF), Rio de Janeiro, Brazil, has a tomato gene bank with accessions that have been maintained for more than 40 years. We compared various algorithms to estimate genetic distances and quantify the genetic divergence of 40 tomato accessions of this collection, based on separate and joint analyses of discrete and continuous variables. Differences in continuous variables and discrete and joint analyses were calculated based on the Mahalanobis, Cole Rodgers and Gower distances. Although opinions differ regarding the validity of joint analysis of discrete and continuous data, we found that analyzing a larger number of variables together is viable and can help in the discrimination of accessions; the information that is generated is relevant and promising for both, the accessions conservation and the use of genetic resources in breeding programs.

Resumo -Com o intento de selecionar progênies superiores para a efetiva concentração de alelos favoráveis em uma população de quinto ciclo de seleção recorrente intrapopulacional em famílias de irmãos-completos de milho pipoca, avaliaram-se 200 famílias quanto a seis características agronômicas, incluindo rendimento de grãos e capacidade de expansão, em delineamento aleatorizado em blocos com duas repetições dentro de 'sets' em dois ambientes distintos: Colégio Estadual Agrícola Antônio Sarlo, em Campos dos Goytacazes, e Estação Experimental da PESAGRO-RIO, em Itaocara, Rio de Janeiro, em 2007/2008. Houve diferenças significativas para famílias/"sets" para todas as características, indicando a presença de variabilidade genética a ser explorada nos futuros ciclos. Na seleção das progênies superiores o índice de Mulamba e Mock resultou em ganhos proporcionais mais adequados para capacidade de expansão e rendimento de grãos, com valores respectivos de 6,01 e 8,53%, na utilização de pesos econômicos arbitrários. Palavras-chave -Milho pipoca. Seleção de plantas. Melhoramento genético.Abstract -Aiming to select superior progenies for concentration of favorable alleles in a popcorn population on the fifth cycle of intrapopulation full-sib recurrent selection, two hundred progenies were evaluated for six agronomic traits, including grain yield and popping expansion, in randomized complete block design with two replications within sets, in two distinct environments: Colégio Estadual Agrícola Antônio Sarlo, in Campos dos Goytacazes, and Experimental Station of PESAGRO-RIO, located in Itaocara, Rio de Janeiro State, in 2007/2008. There were significant differences among families within sets in all traits, indicating the presence of genetic variability to be exploited in the future cycles. The utilized selection indexes were the Mulamba and Mock; and Smith and Hazel. The Mulamba and Mock index propitiated more elevated magnitudes of the predicted gains for most of the traits, including popping expansion and grain yield, with values of 6.01 and 8.53%, respectively, utilizing arbitrary weight attributed by tentative.

ABSTRACT. Using only one type of marker to quantify genetic diversity generates results that have been questioned in terms of reliability, when compared to the combined use of different markers. To compare the efficiency of the use of single versus multiple markers, we quantified genetic diversity among 10 S 7 inbred popcorn lines using both RAPD and SSR markers, and we evaluated how well these two types of markers discriminated the popcorn genotypes. These popcorn genotypes: "Yellow Pearl Popcorn" (P1-1 and P1-5), "Zélia" (P1-2 and P1-4), "Curagua" (P1-3), "IAC 112" (P9-1 and P9-2), "Avati Pichinga" (P9-3 and P9-5), and "Pisankalla" (P9-4) have different soil and climate adaptations. Using RAPD marker analysis, each primer yielded bands of variable intensities that were easily detected, as well as non-specific bands, which were discarded from the analysis. The nine primers used yielded 126 bands, of which 104 were classified as polymorphic, giving an average of 11.6 polymorphisms per primer. Using SSR procedures, the number of alleles per locus ranged from two to five, giving a total of 47 alleles for the 14 SSR loci. When comparing the groups formed using SSR and RAPD markers, there were similarities in the combinations of genotypes from the same genealogy. Correlation between genetic distances obtained through RAPD and SSR markers was relatively high (0.5453), indicating that both techniques are efficient for evaluating genetic diversity in the genotypes of popcorn that we evaluated, though RAPDs yielded more polymorphisms.

Popcorn breeding programs in Brazil have emerged but despite some advances there is still a lack of material performance studies specially regard to seed quality, in different agricultural seasons. This research was carried out to estimate the popcorn combining ability from biparental crosses between eight tropical and one temperate lines in two agricultural seasons (2008 and 2009) with regard to eight traits related to seed quality, in addition to three agronomic traits related to popping expansion. Method 4, proposed by Griffing (Model 1), was used to verifying the importance of the dominance effect in the genetic control of the seed quality traits, favouring the identification of superior hybrids through seed tests in the laboratory with low cost. The lines from Zélia and CMS42 were promising in obtaining hybrids with superior seed quality and greater popping expansion. The hybrids Zélia 9 IAC-112, CMS42 9 UEM M2-1, CMS43-1 9 IAC-112 and UEM M2-2 9 Zaeli expressed superior SCA for grain yield, popping expansion and at least two seed quality traits. These hybrids are materials of interest for cultivation in different planting seasons.

Brazil is the world's largest producer of common bean. Knowledge of the genetic diversity and relatedness of accessions adapted to Brazilian conditions is of great importance for the conservation of germplasm and for directing breeding programs aimed at the development of new cultivars. In this context, the objective of this study was to analyze the genetic diversity, population structure, and linkage disequilibrium (LD) of a diversity panel consisting of 219 common bean accessions, most of which belonging to the Mesoamerican gene pool. Genotyping by sequencing (GBS) of these accessions allowed the identification of 49,817 SNPs with minor allele frequency > 0.05. Of these, 17,149 and 12,876 were exclusive to the Mesoamerican and Andean pools, respectively, and 11,805 SNPs could differentiate the two gene pools. Further the separation according to the gene pool, bayesian analysis of the population structure showed a subdivision of the Mesoamerican accessions based on the origin and color of the seed tegument. LD analysis revealed the occurrence of long linkage blocks and low LD decay with physical distance between SNPs (LD half decay in 249 kb, corrected for population structure and relatedness). The GBS technique could effectively characterize the Brazilian common bean germplasms, and the diversity panel used in this study may be of great use in future genome-wide association studies.