ABSTRACT: The study of adaptability, stability, and productivity is essential for selecting and recommending superior genotypes. This fact is particularly the case for the introduction of common bean cultivars in Rio de Janeiro, Brazil, whose production is negligible and does not meet the internal demand. Thus, this study estimated genetic parameters and selection gains and undertake a simultaneous selection for adaptability, stability, and productivity in black bean genotypes via mixed models. The investigation was carried out in three municipalities in the state of Rio de Janeiro during three crop years. The trials were set up in a randomized block design with 11 genotypes and three replications. High mean heritability (81%) and selection accuracy (90%), as well as good selection prospects, were observed. Gains between 1.03 and 9.49% were achieved for grain yield. Simultaneous selection was efficient, indicating two black bean lines (CNFP 15290 and CNFP 15361) as the most productive, adaptable, and stable. As such, these lines have the potential to be released as new black bean cultivars for the state of Rio de Janeiro. ABSTRACT adaptability stability Brazil demand Thus models years 1 replications 81% 81 (81% 90%, 90 90% , (90%) prospects observed 103 03 1.0 949 9 49 9.49 yield efficient 1529 15361 productive adaptable stable such 8 (81 (90% 10 0 1. 94 4 9.4 152 1536 (8 (90 9. 15 153 ( (9

RESUMO: O estudo de adaptabilidade, estabilidade e produtividade é importante para selecionar e recomendar genótipos superiores. Esse fato é particularmente válido para a introdução de cultivares de feijão comum no Rio de Janeiro, Brasil, cuja produção é ínfima e não atende a demanda interna. Assim, este trabalho teve como objetivo estimar parâmetros genéticos e ganhos de seleção e realizar uma seleção simultânea para adaptabilidade, estabilidade e produtividade de genótipos de feijão preto através de modelos mistos. O estudo foi realizado em três municípios do estado do Rio de Janeiro e em três anos agrícolas. Os ensaios foram instalados em delineamento de blocos casualizados com 11 genótipos e três repetições. Observou-se alta herdabilidade média (81%), acurácia seletiva (90%) e boas perspectivas de seleção. Também foram observados ganhos satisfatórios para a característica entre 1,03 e 9,49%. A seleção simultânea foi eficiente e permitiu selecionar duas linhagens de feijão preto CNFP (15290 e 15361) como sendo as mais produtivas, adaptáveis e estáveis e, portanto, têm potencial para serem lançadas como novas cultivares de feijão preto para o estado do Rio de Janeiro. RESUMO adaptabilidade superiores Brasil interna Assim mistos agrícolas 1 repetições Observouse Observou se 81%, 81 81% , (81%) 90% 90 (90% 103 03 1,0 949 9 49 9,49% 15290 (1529 15361 produtivas portanto 8 (81% (90 10 0 1, 94 4 9,49 1529 (152 1536 (81 (9 9,4 152 (15 153 (8 ( 9, 15 (1

ABSTRACT The objectives of this study were to estimate genetic parameters and the repeatability coefficient and to select clones of elephant grass from full-sib families. Fifteen clones and two commercial controls were evaluated in a randomized block design with three replications. Three measurements were taken at regular 10-month intervals. Genotypic variance was significant. The observed heritability based on the mean of the genotypes (0.58), coupled with the results of repeatability (0.53) and selection accuracy (0.76), demonstrates that the genotypes performance is constant between measurements. Thus, only three measurements are necessary to reliably select genotypes and obtain real genetic gains with selection. Among the 15 clones evaluated, six showed higher new means than those of the BRS Capiaçu and BRS Canará controls and can be used as parents and/or to compose value for cultivation and use experiments aimed at the release of cultivars for bioenergy production. fullsib full sib families replications 10month month 10 intervals significant 0.58, 058 0.58 , 0 58 (0.58) 0.53 053 53 (0.53 0.76, 076 0.76 76 (0.76) Thus 1 andor or production 05 0.5 5 (0.58 (0.5 07 0.7 7 (0.76 0. (0. (0.7 (0 (

ABSTRACT The mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass ( Cenchrus purpureus (Schumach.) Morrone ) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in elephant grass breeding programs for bioenergy production. mixedmodel mixed model environment addition halfsib half sib Schumach. Schumach (Schumach. Halfsib Half Grass replicates plot 21 individual out estimated predicted software 6 8 potential production (Schumach 2

Abstract The study of adaptability and yield stability is essential for the selection and recommendation of new cultivars. Thus, this study determined the adaptability and yield stability of black bean genotypes for cultivar recommendation using a GGE biplot. To this end, nine trials were carried out at different locations in the state of Rio de Janeiro. Eleven genotypes were evaluated in three growing seasons, in a randomized block design, with three replications. Adaptability and stability of grain yield were analyzed by the GGE biplot method. The effects of genotypes, environments and of the genotype - environment interaction were significant, which explained the different responses of the genotypes to the tested environments. The GGE biplot analysis revealed Macaé as an ideal district for testing and high yield, adaptability, and stability of performance were observed for genotype CNFP 15290, which can be recommended for grain production in the state of Rio de Janeiro. cultivars Thus end Janeiro seasons design replications method significant 15290 1529 152 15 1

ABSTRACT Elephant grass stands out among lignocellulosic biomass plants utilized for second-generation biofuel production due to several advantageous characteristics compared to other raw materials. Its short production cycle and ability to thrive in adverse soil and climate conditions contribute to its appeal. Additionally, breeders seek genotypes with high productivity potential and adaptability to various favorable cultivation environments. This study aimed to estimate genetic parameters, predict genetic values using mixed models (REML/BLUP), and evaluate stability and adaptability for energy biomass production in elephant grass genotypes. The experiment was conducted in Campos dos Goytacazes, RJ, Brazil, utilizing a two-replicate experimental block design that included 40 elephant grass genotypes. Four harvest assessments were performed between 2016 and 2019. Genetic parameter estimation and selection of superior genotypes based on genetic value using the REML/BLUP procedure were performed using Selegen software. Stability and adaptability analyses were obtained through the harmonic mean of genotypic values (HMGV), enabling the identification of stable and highly productive genotypes. Genotypes 17, 18, 32, 16, 36, 6, 15, 31, and 34 exhibited outstanding performance in terms of HMGV, indicating enhanced stability, adaptability, and simultaneous productivity, thus ensuring robustness in cultivation. These selected genotypes hold potential for future breeding programs aimed at improving elephant grass yield for biomass production. secondgeneration second generation materials appeal Additionally environments parameters REML/BLUP, REMLBLUP , REML BLUP (REML/BLUP) Goytacazes RJ Brazil tworeplicate two replicate 4 201 2019 software HMGV (HMGV) 17 18 32 16 36 6 15 31 3 (REML/BLUP 20 (HMGV 1 2

RESUMO Um dos desafios do setor energético é a identificação de recursos renováveis com menor impacto ao meio ambiente e que sejam economicamente viáveis. Objetivou-se estimar a diversidade genética de onze famílias de irmãos completos de capim-elefante, utilizando-se características quantitativas associadas à produção de bioenergia. O ensaio foi conduzido em delineamento de blocos ao acaso, com quatro repetições, sendo cada parcela (família) composta por cinco plantas, totalizando 220 genótipos. Cinco características quantitativas foram mensuradas: produção de matéria seca, porcentagem de matéria seca, altura de planta, diâmetro de colmo e número de perfilhos. A estimativa da diversidade genética foi realizada por meio de métodos multivariados (componentes principais e agrupamento hierárquico). Observou-se que há diversidade genética em irmãos completos de capim-elefante, com maior amplitude de variabilidade para produção de matéria seca e número de perfilhos. As famílias 1, 2, 5, 7 e 8 apresentam genótipos superiores para características relacionadas à produção de bioenergia. Vinte grupos obtidos no agrupamento maximizaram a distinção dos genótipos. Oito grupos continham genótipos com alta produção de matéria seca e altura de planta, simultaneamente, além de valores acima da média geral para número de perfilhos. viáveis Objetivouse Objetivou se capimelefante, capimelefante capim elefante, elefante capim-elefante utilizandose utilizando bioenergia acaso repetições família (família plantas 22 mensuradas planta perfilhos componentes hierárquico. hierárquico . hierárquico) Observouse Observou 1 2 5 simultaneamente

ABSTRACT One of the challenges of the energy sector is the identification of renewable resources with less impact on the environment and that are economically viable. This study aimed to estimate the genetic diversity of eleven full-sib families of elephant grass, using quantitative traits associated with bioenergy production. The trial followed a randomized blocks design, with four replications and each plot (family) consisting of five plants, totaling 220 genotypes. Five quantitative traits were measured: dry matter yield, dry matter percentage, plant height, stem diameter and number of tillers. The genetic diversity was estimated using multivariate methods (principal component analysis and hierarchical clustering). The analysis revealed a significant genetic diversity among the full-sib of elephant grass, with a greater variability observed for dry matter yield and number of tillers. The families 1, 2, 5, 7 and 8 exhibited superior genotypes for bioenergy production-related traits. The grouping analysis generated twenty clusters, enabling the differentiation of genotypes. Eight clusters comprised genotypes with a high dry matter yield and plant height, simultaneously, surpassing the overall mean for number of tillers. viable fullsib full sib grass production design family (family plants 22 measured percentage height tillers principal clustering. clustering . clustering) 1 2 5 productionrelated related simultaneously