Resumo: A produção da goiabeira é promissora e tem grande destaque em diversas regiões do Brasil; entretanto, um grande entrave que os produtores enfrentam é o baixo número de cultivares disponíveis. O presente estudo teve por objetivos estimar e analisar a estrutura e a variabilidade genética por meio de características moleculares, a fim de, futuramente, desenvolver novoas cultivares. Foram selecionados paraextração de DNA 94 genótipos de 11 famílias de irmãos-completos, e os cultivares Paluma,Pedro Sato e Cortibel 1, totalizando 97 genótipos. Para a caracterização molecular, foramutilizados 48 pares de iniciadores microssatélites. Com essas informações, foram estimados os parâmetros de diversidade genética, a distância genética, o agrupamento dos genótipos e a estrutura genética da população. O uso de informações moleculares mostrou haver variabilidade genética entre os genótipos das famílias de irmãos-completos e os cultivares.O número médio de alelos por loco foi 2,542. Os valores de heterozigosidade esperadavariaram de 0,030 a 0,599, apresentando média de 0,401. A heterozigosidade observadavariou de 0,010 a 0,577, com média de 0,293. Com base no agrupamento pelo método hierárquico UPGMA,foi constatada a formação de quatro grupos, sendo indicados cruzamentos de indivíduos dos grupos 1 e 2. A análise bayesiana permitiu a distinção dos genótipos em apenas dois grupos, devido aos indivíduos compartilharem a maioria das regiões genômicas analisadas. Resumo Brasil entretanto disponíveis futuramente 9 irmãoscompletos, irmãoscompletos irmãos completos, completos PalumaPedro Paluma Pedro molecular 4 microssatélites população cultivaresO 2542 2 542 2,542 0030 0 030 0,03 0599 599 0,599 0401 401 0,401 0010 010 0,01 0577 577 0,577 0293 293 0,293 UPGMAfoi UPGMA analisadas 254 54 2,54 003 03 0,0 059 59 0,59 040 40 0,40 001 01 057 57 0,57 029 29 0,29 25 5 2,5 00 0, 05 0,5 04 0,4 02 0,2 2,

Abstract: Guava production is a promising activity with great prominence in several regions of Brazil; however, a major obstacle faced by producers is the low number of available cultivars. The present study proposes to estimate and analyze genetic structure and variability, through molecular traits, aiming at the future development of new cultivars. Ninety-four genotypes from 11 full-sib families and the cultivars Paluma, Pedro Sato, and Cortibel 1 were selected for DNA extraction, totaling 97 genotypes. For molecular characterization, 48 pairs of microsatellite primers were used. This information was used to estimate the parameters of genetic diversity, genetic distance, genotype clustering, and the genetic structure of the population. The use of molecular information revealed the existence of genetic variability between the genotypes of the full-sib families and the cultivars. The average number of alleles per locus was 2,542. Expected heterozygosity values ranged from 0.030 to 0.599, averaging 0.401. Observed heterozygosity ranged from 0.010 to 0.577, averaging 0.293. Based on the UPGMA hierarchical clustering method, four groups were formed and crossing is recommended between individuals from groups 1 and 2. Bayesian analysis allowed the distinction of genotypes into only two groups, due to the individuals sharing most of the genomic regions analyzed. Abstract Brazil however traits Ninetyfour Ninety fullsib full sib Paluma Sato extraction 9 characterization 4 diversity distance population 2542 2 542 2,542 0030 0 030 0.03 0599 599 0.599 0401 401 0.401 0010 010 0.01 0577 577 0.577 0293 293 0.293 method analyzed 254 54 2,54 003 03 0.0 059 59 0.59 040 40 0.40 001 01 057 57 0.57 029 29 0.29 25 5 2,5 00 0. 05 0.5 04 0.4 02 0.2 2,

Resumo: Sementes de mamoeiro possuem barreiras naturais (compostos fenólicos, estrutura da semente e fatores genéticos) que dificultam sua germinação. E o uso de sementes é o principal meio de propagação da espécie, seja para o cultivo comercial,manutenção de germoplasma seja para a seleção de materiais genéticos. Assim, o uso de sementes com qualidade fisiológica (germinação, plântulas normais e velocidadede germinação)é fundamental à produção de plantas vigorosas. Contudo, poucos estudos foram desenvolvidos com intuito de avaliar e de melhorar a qualidade das sementes. Nesta perspectiva,o estudo visa a avaliar a qualidade de sementes em materiais genéticos amplamente utilizados na obtenção de novos genótipos, a fim de identificar materiais superiores e possíveis cruzamentos entre aqueles que possuam alta qualidade fisiológica de sementes.Foram analisados 44 genótipos por caracterização molecular, via marcadores microssatélites (heterozigosidade observada e esperada, número de alelos, índice de informação, índice de fixação, coeficiente de endogamia, estrutura genética e dissimilaridadegenética via agrupamento UPGMA), assim como a determinação da qualidade fisiológica da semente (índice de velocidade de germinação, porcentagem de germinação e plântulas anormais).Dentre os genótipos, 10 possuem germinação acima de 60%, alto índice de velocidade de germinação e baixa porcentagem de plântulas anormais, e podem ser utilizados emcruzamentos para a melhoria na qualidade de sementes. A análise de dissimilaridade foi capaz de evidenciar a dissimilaridade entre os acessos dos grupos Solo e Formosa. O uso do coeficiente de dissimilaridade e do número de alelos compartilhados permitiu identificar 18 possíveis cruzamentos promissores à melhoria na qualidade de sementes de mamoeiro. Resumo compostos fenólicos espécie comercialmanutenção comercial manutenção Assim (germinação germinaçãoé vigorosas Contudo perspectivao perspectiva sementesForam Foram 4 molecular heterozigosidade esperada informação fixação endogamia UPGMA, UPGMA , UPGMA) anormais.Dentre anormaisDentre anormais .Dentre Dentre 1 60 60% Formosa 6

Abstract: Papaya seeds have natural barriers (phenolic compounds, seed structure and genetic factors) that make their germination difficult. And the use of seeds is the main means of propagating the species, whether for commercial cultivation, maintenance of germplasm or selection of genetic materials. Thus, the use of seeds with physiological quality (germination, normal seedlings and germination speed) is fundamental to the production of vigorous plants. However, few studies have been developed with the aim of evaluating and improving seed quality. From this perspective, the study aims to evaluate the quality of seeds in genetic materials widely used to obtain new genotypes, in order to identify superior materials and possible crosses between those that have high physiological seed quality. For this purpose, 44 genotypes were analyzed by molecular characterization, via microsatellite markers (observed and expected heterozygosity, number of alleles, information index, fixation index, inbreeding coefficient, genetic structure and genetic dissimilarity via UPGMA grouping), as well as determining physiological quality of the seed (germination speed index, percentage of germination and abnormal seedlings). Among the genotypes, 10 have germination above 60%, a high rate of germination speed and a low percentage of abnormal seedlings, and can be used in crosses to improve seed quality. The dissimilarity analysis was able to highlight the dissimilarity between the accessions of the Solo and Formosa groups. The use of the dissimilarity coefficient and the number of shared alleles made it possible to identify 18 possible crosses promising to improve the quality of papaya seeds. Abstract phenolic compounds factors difficult species cultivation Thus germination, plants However perspective purpose 4 characterization observed heterozygosity index grouping, grouping , grouping) seedlings. . seedlings) 1 60 60% groups 6

Abstract: Cultivar Magnus grano is made up of five genotypes that were selected by coffee growers in the state of Espírito Santo, Brazil. The cultivar shows good adaptation to growing conditions, high yield potential, and the largest beans among the studied genotypes. Abstract Santo Brazil conditions potential

ABSTRACT This study was developed to carry out selection, estimate genetic parameters and predict individual genetic values of 55 genotypes from S2 families as well as estimate genetic dissimilarity based on physiological seed attributes. All S2 genotypes evaluated were obtained from self-pollination of S1 genotypes from the guava breeding program. The experiment was laid out in blocks with 55 S2 genotypes and four blocks. Genetic parameters were estimated and the best genotypes were selected based on the genetic value, using the statistical method of mixed models. In addition, genetic divergence was estimated based on the mean Euclidean distance. Although heritability values were considered medium to high magnitude for germination (0.22) and germination speed index (0.35), genetic gains were obtained for all traits. Based on the evaluation of individual BLUPs, the S2 genotypes that contributed to most of the evaluated traits were: 5, 31, 85, 214, 369, 393, 398, 442, 443, 444, 449 and 529, suggesting potential to generate vigorous. Through genetic dissimilarity, it was possible to verify the formation of five distinct groups. Therefore, the selection of divergent genotypes with high average for germination is recommended for the advancement of generation in the guava breeding plant. 5 S attributes selfpollination self pollination program value models addition distance 0.22 022 0 22 (0.22 0.35, 035 0.35 , 35 (0.35) BLUPs 31 85 214 369 393 398 442 443 444 44 529 vigorous groups Therefore plant 0.2 02 2 (0.2 03 0.3 3 (0.35 8 21 36 39 4 52 0. (0. (0.3 (0 (

ABSTRACT. The germplasm of Passiflora L. is conserved through seed banks and field collections. Dormant seeds, seeds with low viability, and high-cost field collections make it difficult to maintain germplasm banks, and in vitro conservation can be a complementary alternative. The aim of this study was to investigate the survival of nodal segments of Passiflora edulis Sims ‘UENF Rio Dourado’ over 180 days of slow growth in vitro by reducing the mineral salt and sucrose concentrations and changing the incubation conditions (temperature and light intensity). The experiment was conducted in a completely randomized design with a 2 × 3 × 3 factorial arrangement consisting of two temperatures (20 ± 2°C and 27 ± 2°C), three concentrations of MSM mineral salts (100% MSM, 50% MSM, and 25% MSM), and three sucrose concentrations (10, 20, and 30 g L-1). Evaluations were performed at 60, 90, 120, 150, and 180 days for survival, number of leaves, and plant color (using a color scale where 1 = dark green, 2 = light green, and 3 = yellow). After 180 days of culture, mineral salt, sucrose concentration, and incubation temperature affected plant survival, regeneration, and acclimatization. During the 180 days, it was possible to slow the growth of nodal segments of passion fruit ‘UENF Rio Dourado’ in culture medium with 25% MSM mineral salts plus 10 g L-1 sucrose, at an average temperature of 20°C without compromising plant survival, regeneration, and acclimatization. ABSTRACT L viability highcost high cost alternative UENF Dourado 18 intensity. intensity . intensity) 20 (2 2C C 2°C, , 2°C) 100% 100 (100 50 25 MSM) 10, (10 L1. L1 L-1) 60 90 120 150 leaves using green yellow. yellow yellow) concentration regeneration acclimatization L- 20C ( 5 (1 6 9 12 15

ABSTRACT Investigating the physiological potential of seeds and genetic divergence between families is essential to identify promising materials for the generation of improved populations. This study was undertaken to examine the germination potential and estimate genetic divergence between Passiflora full-sib families (FSFs) based on physical and physiological seed traits. The experiment was consisted of 86 FSFs from the first cycle of recurrent selection for resistance to the cowpea aphid-borne mosaic virus. Seeds were evaluated for 19 physical and physiological traits. Dissimilarity estimates were obtained by generalized Mahalanobis distance, and the method unweighted pair group method with arithmetic mean was employed for cluster formation. The FSFs showed high germination potential and seed vigor, with mean of 92.4%, 5.68 e 5.81 cm for germination, germination speed index (GSI) and shoot length of seedlings, respectively. Cluster analysis resulted in four groups formed, being Group I composed by 68 FSF more the control Passiflora edulis. The trait 1,000-seed weight (TSW) was the trait that most contributed to explaining the dissimilarity between families, with 31.9%. The trait GSI (physiological), TSW (physical), as well as traits provided by the GroundEye® system (CIELab-b, hue, and circumference of seeds), were efficient in determining genetic divergence detected between the families of passion fruit. These traits can be taken as a basis in the selection of genotypes with higher physiological seed quality. populations fullsib full sib (FSFs 8 aphidborne aphid borne virus 1 distance formation vigor 924 92 4 92.4% 568 5 5.6 581 81 5.8 (GSI seedlings respectively formed 6 edulis 1,000seed 1000seed 1,000 000 (TSW 319 31 9 31.9% physiological, , (physiological) physical, (physical) GroundEye CIELabb, CIELabb CIELab b, b (CIELab-b hue seeds, seeds) fruit quality 92.4 56 5. 58 000seed 1000 1,00 00 3 31.9 (physiological (physical 92. 100 1,0 0 31. 10 1,

Resumo O presente estudo tem por objetivo estimar o coeficiente de repetibilidade das características referentes à produção da goiabeira, a fim de inferir qual o número mínimo de avaliações é necessário para identificar genótipos superiores,inalém de verificar a adaptabilidade e a estabilidade, bem como prever os ganhosgenéticos e selecionar as melhores famílias em progênies S1 de Psidium guajava. Asfamílias foram obtidas por meio de autofecundações de genótipos superiores (irmãos-completos) doprograma de melhoramento genético de goiabeiras da UENF. O experimento foi implementadona Estação Experimental da Ilha Barra do Pomba, no município de Itaocara-RJ. Odelineamento experimental utilizado foi blocos ao acaso, com 18 famílias endogâmicas, três repetições e 10 plantas por parcela. Foram avaliadas as famílias endogâmicass em trêssafras, quanto ao peso dos frutos, ao número de frutos por planta e à produção total.Posteriormente, foi realizada a análise de repetibilidade, adaptabilidade e estabilidade dosgenótipos através do programa Selegem/REML-BLUP. Os valores de repetibilidade demonstram que o desempenho dos genótipos é constante entre as medições, indicando a necessidade de apenas três avaliações para a seleção dos genótipos superiores. Houve concordância naescolha das famílias 1;4; 6 e 12 como as mais produtivas, adaptáveis e estáveis para os caracteres avaliados. goiabeira superioresinalém inalém S guajava irmãoscompletos irmãos completos (irmãos-completos UENF Pomba ItaocaraRJ. ItaocaraRJ Itaocara RJ. RJ Itaocara-RJ acaso 1 endogâmicas parcela trêssafras totalPosteriormente total Posteriormente total.Posteriormente Selegem/REMLBLUP. SelegemREMLBLUP Selegem/REML BLUP. Selegem REML BLUP Selegem/REML-BLUP medições 14 4 1;4 produtivas avaliados REMLBLUP Selegem/REMLBLUP SelegemREML 1;

Abstract This study intends to estimate the coefficient of repeatability for traits relating to yield, so as to infer what is the minimum number of evaluations required to identify superior genotypes; to verify adaptability and stability; to predict genetic gains; and to select the best families and in S1 progenies of Psidium guajava. Families were obtained by means of self-fertilization of superior genotypes (full sibs) from the guava tree genetic breeding program of the UENF. The experiment was implemented at the Experimental Station of Ilha Barra do Pomba, in the municipality of Itaocara-RJ. In this case, an experimental randomized block design was used with 18 inbred families, three replicates, and ten plants per plot. Inbred families were evaluated in three harvests regarding fruit weight, number of fruits per plant, and total yield. It was then conducted an analysis of repeatability, adaptability, and stability of genotypes by means of the Selegen/REML/BLUP program. Repeatability values show that the performance of genotypes is constant among measurements, suggesting the need to perform only three evaluations for the selection of superior genotypes. There was agreement on the choice of families 1, 4, 6, and 12 as the most yielded, adaptable, and stable for the traits evaluated. yield gains S guajava selffertilization self fertilization full sibs UENF Pomba ItaocaraRJ. ItaocaraRJ Itaocara RJ. RJ Itaocara-RJ case 1 replicates plot weight plant SelegenREMLBLUP Selegen REML BLUP measurements 4 6 yielded adaptable

Abstract The germination potential must be considered in the selection of passion fruit genotypes, since vigorous seeds originate seedlings with a higher growth rate, resulting in superior plants with high agronomic performance. This study proposes to estimate genetic parameters and selection gain for seed traits of full-sib families (FSF) of passion fruit under recurrent selection for resistance to the cowpea aphid-borne mosaic virus (CABMV). Physical and physiological seed traits of 86 FSF were evaluated; genetic parameters, genotypic correlations between traits and genetic gains were estimated using four selection indices. There were significant differences and genetic variability between families and positive genetic correlations between variables. The best distribution of genetic gains was obtained by the Mulamba and Mock index, using the heritability coefficient and arbitrary weights. This index selected the best 26 families in terms of seed characteristics to compose the second cycle of recurrent selection for resistance to CABMV. genotypes rate performance fullsib full sib (FSF aphidborne aphid borne CABMV . (CABMV) 8 evaluated indices variables weights 2 (CABMV

Abstract This study was conducted to test the significance of adding row and column factors in the frequentist and Bayesian models used in the evaluation of a population of Passiflora edulis, as well as selecting promising genotypes to form the next generation. The following parameters were evaluated: number of fruits, yield, fruit weight, transverse fruit diameter, longitudinal fruit diameter, pulp percentage, skin thickness and total soluble solids. For the Bayesian model, two priors were considered, namely, inverse gamma and a priori distribution with extended parameters. The model with a priori distribution with extended parameters showed lower root mean square error and higher correlation coefficient between observed and predicted values than the inverse gamma model. Furthermore, for a selection intensity of 37%, the mixed and Bayesian models selected practically the same progenies in both experiments. The use of the 5-fold cross-validation technique indicated that both tested models were efficient. edulis generation evaluated fruits yield weight diameter percentage solids considered namely Furthermore 37 37% experiments 5fold fold 5 crossvalidation cross validation efficient 3

ABSTRACT The use of longitudinal measurements is an essential practice both in Psidium guajava L. breeding and in other perennial crops in which covariance structures can be introduced to explain the form of dependence between measurements. Hence, this study aimed to analyze six covariance structures to identify one that best described the correlation between the repeated measurements in time in traits of guava full-sib families. The repeatability coefficient for each trait was estimated and the minimum number of evaluations required for estimates representing the population was determined. The work was performed based on average data of three yield-related variables from nine harvests of a guava tree population evaluated from 2011 to 2018. The best model was chosen based on the Akaike and Schwarz Bayesian information criterion. The autoregressive covariance structure best represented the dependencies among families between crops for all traits. The number of variables of fruits and total yield per plant presented repeatability estimates higher than 0.5 and may be essential traits for indirect selection of others, such as fruit mass, which had an estimated repeatability of 0.24, proving low regularity in the repetition of the character from one cycle to another. It was also possible to define four harvests as the minimum acceptable number of observations necessary on the same individual for these traits; therefore, the repetitions represented the individuals. L Hence fullsib full sib determined yieldrelated related 201 2018 criterion 05 0 5 0. others mass 024 24 0.24 another therefore individuals 20 02 2 0.2

ABSTRACT Methods for genetic improvement of semi–perennial species, such as passion fruit, often involve large areas, unbalanced data, and lack of observations. Some strategies can be applied to solve these problems. In this work, different models and approaches were tested to improve the precision of estimates of genetic evaluation models for several characteristics of the passion fruit. A randomized block design (RBD) model was compared to a posteriori correction, adding two factors to the model (post–hoc blocking Row–Col). These models were also combined with the frequentist and Bayesian approaches to identify which combination yields the most accurate results. These approaches are part of a strategic plan in a perennial plant breeding program to select promising genitors of passion to compose the next selection cycle. For Bayesian, we tested two priors, defining different values for the distribution parameters of effect variances of the model. We also performed a cross–validation test to choose a priori values and compare the frequentist and Bayesian approaches using the root mean square error (RMSE) and the correlation between the predicted and observed values, called Predictive capacity of the model (PC). The model with the post–hoc blocking Row–Col design captured the spatial variability for productivity and number of fruits, directly affecting the experimental precision. Both approaches applied to the models showed a similar performance, with predictive capacity and selective efficiency leading to the selection of the same individuals.

ABSTRACT Brazil is one of the world’s largest producers of guava (Psidium guajava L.), a very promising fruit in the northern region of the state of Rio de Janeiro. Despite this, no guava cultivar has been developed for the region. Thus, this study proposed to examine a population of guava full sibs using microsatellite markers and to identify which genotypes are the most divergent for future crosses, to select cultivars better adapted to the soil and climatic conditions of northern Rio Janeiro. Ninety-six superior genotypes were selected according to their agronomic traits, which were characterized using 45 microsatellite markers. The genetic distance between the analyzed genotypes, their clustering pattern and the genetic structure of the population were estimated. Hierarchical cluster analysis by the neighbor joining method indicated the formation of three distinct groups. The use of molecular information revealed the existence of moderate genetic variability between the genotypes of the full-sib families. Bayesian analysis separated the genotypes into only two groups, as the individuals shared most of the analyzed genomic regions. The most genetically divergent guava genotypes, that is, those allocated to different groups, such as genotypes 5 and 85, should be recommended for future crosses to obtain segregating populations, thus giving continuity to the guava breeding program.

Abstract This study analyzed the genetic diversity in Coffea canephora genotypes by univariate and multivariate statistical analysis, based on concentrations of macro- and micronu trients in coffee leaves in the stages of pre-flowering and grain filling. The experiment was arranged in randomized blocks with three replications, in a 42x2 factorial design, in which factor one represented the evaluated genotypes and factor two the periods of leaf sampling, i.e., pre-flowering and grain filling. The data of leaf nutrient concentrations were subjected to analysis of variance by the F test (p <0.01), and genetic parameters were estimated. For the study of genetic diversity, the genotypes were grouped by the hierarchical unweighted pair-group method using arithmetic averages (UPGMA). The relative importance of a trait to predict genetic diversity was also studied. There is genetic divergence for leaf nutrient concentration in C. canephora genotypes. With a maximum limit of 60% of dissimilarity between genotypes, four groups were also formed by UPGMA. For the 42 evaluated geno types, leaf S concentration was the most important trait for genetic diversity; this genotypic variability should be investigated to enhance the efficiency of nutritional diagnosis.

Resumen Este estudio analizó la diversidad genética en los genotipos de Coffea canephora mediante análisis estadístico univariado y multivariado, basado en las concentraciones de macro y micronutrientes en las hojas de café en las etapas de pre-floración y llenado de granos. El experimento se organizó en bloques aleatorios con tres repeticiones, en un diseño factorial de 42x2, donde el factor uno representaba los genotipos evaluados y el factor dos los períodos de muestreo de hojas, es decir, pre-floración y llenado de granos. Los datos de las concentraciones nutricionales de las hojas se sometieron a un análisis de varianza mediante la prueba F (p <0,01), y se estimaron los parámetros genéticos. Para el estudio de la diversidad genética, los genotipos se agruparon por el método jerárquico de pares de grupos no ponderados, utilizando medios aritméticos (UPGMA). También se ha estudiado la importancia relativa de un rasgo para predecir la diversidad genética. Existe divergencia genética para la concentración de nutrientes en las hojas en los genotipos de C. canephora. Con un límite máximo del 60% de disimilitud entre los genotipos, el método UPGMA formó cuatro grupos. Para los 42 genotipos evaluados, la concentración de S en las hojas fue la característica más importante para la diversidad genética. La variabilidad genotípica debe investigarse para mejorar la eficiencia del diagnóstico nutricional.

ABSTRACT Guava is of great economic importance in Brazil. The development of new cultivars by obtaining inbreeding lines has been a promising option. The objective of this work was to evaluate the S2 families of Psidium guajava using seed attributes. Different characters of physiological quality of guava seeds were studied, in addition to performing digital phenotyping of characteristics of geometry, texture and colors of the seeds. The variables were analyzed simultaneously using the Ward-Modified Location Model (MLM) method and carried out individual analyses of variance for estimating genetic parameters of the population. The formation of more than one group of divergent genotypes was observed, the geometry characteristics were more impacting for the discrimination of the genotypes, a high phenotypic correlation was observed with the germination variables and dry matter weight. High heritabilities were verified for the variables related to seed quality, indicating success in selecting vigorous genotypes. The Ward-MLM method is a useful tool to detect genetic diversity among genotypes of inbred guava. Thus, the most divergent genotypes with high germination potential can be recommended for future crosses or self-fertilized to obtain new lines in the guava breeding program.

ABSTRACT: The purpose of this study was to conduct selection, genetic parameter estimation, and prediction of genetic values for 18 S1 families of guava trees using mixed model methodology and simultaneous selection of traits by means of the additive selection index, multiplicative selection index, and mean rank adapted from Mulamba. All families analyzed were obtained by means of self-fertilization of superior genotypes (full siblings) from the genetic breeding program of guava trees at the Universidade Estadual do Norte Fluminense. An experimental randomized block design with 18 S1 families, three replicates, and ten plants per plot was used. A total of 540 genotypes (individual plants) of guava tree were evaluated. Genetic parameter estimation and selection of the best genotypes based on the genetic value were performed using the statistical procedure, from the Selegen-REML/BLUP program. The analyses of the additive selection index, multiplicative selection index, and the sum of rank adapted from Mulamba were also performed under the Selegen program. During the evaluation by the individual BLUPs, families 1, 12, 4, 6, and 8 contributed to most of the genotypes selected for the traits under evaluation, suggesting their significant potential to generate high quality and high yield genotypes. In the selection indexes via mixed models, the multiplicative index showed higher values for genetic gains (74 %), followed by the mean rank index adapted from Mulamba (19 %), and the additive index (2 %).