RESUMO: A interação genótipo x ambiente representa um grande desafio na identificação e seleção de genótipos responsivos às diversas condições de clima e solo. O objetivo deste trabalho foi avaliar e selecionar pré-cultivares de feijão carioca e feijão carioca precoce com base na adaptabilidade, estabilidade e produtividade de grãos. Na safra 2014 foram conduzidos dois ensaios regionais de competição no estado de Pernambuco: feijão carioca (14 genótipos em Arcoverde, Belém de São Francisco, Caruaru e São João) e feijão carioca precoce (11 genótipos em Araripina, Arcoverde e Caruaru) e na safra de 2015 com feijão carioca precoce (11 genótipos, em Araripina, Arcoverde e Brejão). Os parâmetros foram estimados por meio de modelos mistos e a seleção foi realizada pelo método da Média Harmônica do Desempenho Relativo dos Valores Genéticos (MHPRVG), adotando-se três estratégias: i) seleção com base no valor genético predito, sem interação; ii) seleção com base no valor genético predito, considerando cada local; iii) seleção simultânea quanto à produtividade de grãos, adaptabilidade e estabilidade. Observou-se que os ambientes influenciaram na expressão fenotípica dos genótipos de feijão carioca e carioca precoce, configurando adaptação específica. Os genótipos BRS Notável, BRS Estilo e BRS Pérola, de feijão carioca, e CNFC 15875, BRS Notável e CNFC 15630, de feijão carioca precoce, apresentaram os melhores desempenhos nos ambientes testados, considerando-se, simultaneamente, a adaptabilidade a diferentes condições edafoclimáticas, estabilidade de desempenho e produtividade de grãos.

ABSTRACT: Genotype x environment interactions represent a major challenge in identifying and selecting genotypes responsive to different climate and soil conditions. This research evaluated and selected pre-cultivars of carioca bean and early carioca bean based on adaptability, stability, and grain yield. In the 2014 crop season, two regional competition trials were conducted in the state of Pernambuco: carioca beans (14 genotypes in Arcoverde, Belém de São Francisco, Caruaru and São João) and early carioca beans (11 genotypes in Araripina, Arcoverde, and Caruaru) and, in the 2015 crop season, with early carioca beans (11 genotypes in Araripina, Arcoverde, and Brejão). Parameters were estimated by mixed models, and the selection was performed using the Harmonic Mean of Relative Performance of Genetic Values (HMRPGV) method following three strategies: i) selection based on predicted genetic value with no interaction; ii) selection according to predicted genetic value considering each location; and iii) simultaneous selection for grain yield, adaptability, and stability. The environments influenced the phenotypic expression of the carioca and early carioca bean genotypes, representing a specific adaptation. The genotypes BRS Notável, BRS Estilo and BRS Pérola, of carioca beans, and CNFC 15875, BRS Notável and CNFC 15630, of early carioca beans, had the best results in the environments tested, regarding, simultaneously, adaptability to different soil and climate conditions, performance stability, and grain yield.

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.

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.

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.

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.

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.

RESUMO: O arroz vermelho é um tipo especial de arroz que devido a atributos benéficos a saúde é consumido na forma integral e tornou-se uma opção de diversificação de cultivo. Diversos fatores durante o desenvolvimento da planta podem afetar o rendimento de beneficiamento. Com isso, o objetivo deste trabalho foi avaliar a adaptabilidade, estabilidade e beneficiamento de grãos de cultivares de arroz vermelho e compará-la a de arroz branco produzidas nos municípios de Campos dos Goytacazes, Seropédica e Pinheiral, RJ, durante os anos agrícolas de 2016/2017 e 2017/2018. Os tratamentos foram duas cultivares de arroz branco (BRS Esmeralda e IAC 201) e duas de arroz vermelho (ENA-AR1601 e Virgínia), distribuídos no campo sob o delineamento em blocos ao acaso, com cinco repetições. Foram avaliadas a produtividade, classe do grão, o rendimento de engenho e de grãos inteiros. As médias das cultivares em diferentes locais e anos foram comparadas pelo teste de Tukey (P< 0,05). Foi adotada a metodologia recomendada por Eberhart e Russell para estimativa dos parâmetros de adaptabilidade e estabilidade. A classificação dos grãos das cultivares ENA-AR1601 e Virgínia foi médio e longo, respectivamente. As cultivares de arroz vermelho ENA-AR 1601 e Virgínia apresentaram desempenho produtivo superior a média nacional. As cultivares de arroz vermelho e BRS Esmeralda apresentaram comportamento altamente previsível de acordo ao estímulo ambiental. Com valores médios de 62%, nos dois anos avaliados, as cultivares de arroz vermelho apresentaram excelente rendimento de beneficiamento.

ABSTRACT: Red rice is consumed in whole grain form due to its beneficial nutritional attributes and has become an option for crop diversification. Several factors during plant development can affect the crop’syield. This study evaluated the adaptability and stability of the post-harvest processing of red rice cultivars and compare them with those of white rice cultivars grown in the municipalities of Campos dos Goytacazes, Seropédica, and Pinheiral, RJ, between 2016 and 2018. Two white rice (BRS Esmeralda and IAC 201) and two red rice cultivars (ENA-AR1601 and Virginia) were distributed in the field under randomized block design with five repetitions. Yield, grain class, ingenuity, and whole grain yield were evaluated. The means of these parameters for cultivars in different locations and years were compared by Tukey’s test (P < 0.05). The Eberhart and Russell regression model was used to estimate the adaptability and stability parameters. The grain classification of the cultivars ENA-AR1601 and Virginia was medium and long, respectively. The red rice cultivars ENA-AR 1601 and Virginia showed higher productive performance than the national average. The red rice cultivars and BRS Esmeralda showed highly predictable behavior based on the environmental stimulus. With average values of 62% in the two years evaluated, the red rice cultivars showed excellent processing yield.

RESUMO A seleção dos melhores genótipos é dificultada devido ao efeito da interação genótipos x ambientes. Na existência dessa interação, o estudo de adaptabilidade e estabilidade fornece subsídios para a seleção dos melhores genótipos. Sendo assim, os genótipos selecionados deverão associar alta produtividade, adaptabilidade às diversas condições ambientais e estabilidade de produção. Objetivou-se avaliar e selecionar pré-cultivares de feijão preto e roxo com base na adaptabilidade, estabilidade e produtividade de grãos. Os parâmetros foram estimados por meio de modelos mistos e a seleção pela Média Harmônica da Performance Relativa dos Valores Genotípicos (MHPRVG). Os ambientes infuenciaram na expressão fenotípica dos genótipos de feijão preto e roxo, confgurando adaptação específica. Os genótipos de feijão preto BRS Esteio, BRS FP 403, CNFP 15681 e CNFP 16459 e as linhagens de feijão roxo CNFRx 16340, CNFRx 16346 e CNFRx 16353 apresentaram as melhores performances, considerando-se, simultaneamente, a produtividade de grãos, adaptabilidade e estabilidade. O método MHPRVG proporcionou seleção otimizada de genótipos com elevada produtividade de grãos, previsibilidade e responsividade à melhoria do ambiente, e deve ser utilizado como estratégia de seleção de genótipos de feijão para plantios comerciais.

ABSTRACT Selecting the best genotypes is difficult, due to the genotype × environment interaction effect. When this interaction is present, the study of adaptability and stability can provide the selection of the best genotypes. Thus, the selected genotypes should associate high yield, adaptability to diferent environmental conditions, as well as production stability. This study aimed to evaluate and select black and purple bean precultivars based on adaptability, stability and grain yield. The parameters were estimated via mixed models and the selection using the Harmonic Mean of the Relative Performance of Predicted Genetic Values (HMRPGV) method. The environments infuenced the phenotypic expression of the black and purple bean genotypes, characterizing a specific adaptability. The black bean genotypes BRS Esteio, BRS FP 403, CNFP 15681 and CNFP 16459 and the purple bean inbred lines CNFRx 16340, CNFRx 16346 and CNFRx 16353 showed the best performance, when considering, simultaneously, grain yield, adaptability and stability. The HMRPGV method provided an optimized selection of genotypes with high grain yield, predictability and responsiveness to environmental improvements, and should be used as a selection strategy for common bean genotypes for commercial growing.

ABSTRACT The introduction of rootstocks for the guava has become necessary due to the advance of guava decline. Among them, Psidium spp. or their hybrids have been evaluated. In addition to disease resistance, tolerance to salinity must be evaluated in the new rootstocks. The aim of this study was to verify the effect of rootstocks and intergrafts on the mineral composition of Psidium spp. submitted to salt stress. The experiment was setup in a randomized block design, with the following treatments (scion/rootstock):P. guineense/P. cattleianum; P. guajava/P. guineense/P. cattleianum; P. guajava‘Paluma’/P. guajava; P. guajava ‘Paluma’/P. guineense; P. guajava ‘Cortibel 1’/P. guajava;P. guajava ‘Cortibel 1’/P. guineense; P. cattleianum (purple) and P. cattleianum (yellow), with three replications and three plants per plot. The plants underwent irrigation with saline solution, and the levels of macronutrients, micronutrients and sodium in the scion leaves were evaluated. As rootstock, P. cattleianum results in greater Na uptake, with higher levels in the leaves of the scions, leading to less tolerance to salt stress.