Resumo Hoje, o milho doce é considerado uma hortaliça importante devido ao seu alto teor de açúcar e baixo teor de amido. A análise de agrupamento e a análise de variância mostraram que os híbridos apresentaram variações nos índices de produtividade. Os híbridos GB, DE e GS tiveram desempenho semelhante nos índices. Híbrido SE que apresenta desempenho significativo sobre a zeaxantina. Biplot mostrou que frutose, glicose, sacarose e potássio apresentaram valor de estabilidade em híbridos. Todos os híbridos tiveram o melhor desempenho nos fatores frutose, glicose, sacarose e potássio. O fator biplot correlacionou-se positivamente com os índices de rendimento, incluindo cálcio, ferro, zinco, magnésio, α-caroteno, 9Z-β-caroteno, fósforo e β-caroteno. Por outro lado, há correlação positiva com frutose, glicose, potássio, luteína, sacarose, β-criptoxantina e zeaxantina. Assim, para avaliar ou aumentar a luteína e a zeaxantina, outros parâmetros como o teor de açúcares (frutose, glicose e sacarose) são fatores importantes e atuam em conjunto. A análise fatorial e o biplot mostraram que o híbrido ME apresentou desempenho máximo no primeiro fator de índices de produtividade. Além disso, o segundo fator de índices de produtividade teve um efeito máximo nos híbridos de NO. Os híbridos SE tiveram desempenho máximo em zeaxantina e o híbrido GS teve desempenho máximo em zinco, fósforo e ferro. A matéria seca apresentou estabilidade no híbrido DB.

Abstract Today, sweet corn is considered an important vegetable due to its high sugar content and low starch content. Cluster analysis and variance analysis showed that hybrids had variations in yield indices. GB, DE and GS hybrids had similar performance on indices. SE hybrid that has significant performance on zeaxanthin. Biplot showed that fructose, glucose, sucrose and potassium had stability value on hybrids. All the hybrids had the best performance on fructose, glucose, sucrose and potassium factors. Factor biplot positively correlated with yield indices, including calcium, iron, zinc, magnesium, α-Carotene, 9Z-β-Carotene, phosphorus, and β-carotene. On the other hand, there is a positive correlation with fructose, glucose, potassium, lutein, sucrose, β-Cryptoxanthin, and zeaxanthin. So, to evaluate or increase lutein and zeaxanthin, the other parameters like sugar content (fructose, glucose, and sucrose) are important factors and have an effect together. Factor analysis and biplot showed that ME hybrid had a maximum performance on the first factor of yield indices. Also, the second factor of yield indices had a maxi-mum effect on NO hybrids. SE hybrids had maximum performance in zeaxanthin and GS hybrid had maximum performance in zinc, phosphorus, and iron. The dry matter had stability on DB hybrid.

Abstract: Creation, adjustments and adoption of tests and tools that help in the prediction of seed storability have been highly demanded. Therefore, this work aimed to analyze the efficiency of different artificial aging times in predicting the performance of soybean seeds after storage, using the GGE biplot method. Seeds of six genotypes were subjected to storage, under refrigerated and non-refrigerated conditions, and artificial aging, being artificially aged for periods of 0, 48, 96 and 144 hours. Seeds freshly harvested and after natural and artificial aging were subjected to germination and vigor tests. The experiments were analyzed separately, using means test, regression analysis and model identity test, and together, using the GGE biplot method. Artificial aging at a temperature of 41 °C for 96 hours has the potential to be used to predict the performance of soybean seeds after eight months of storage. The GGE biplot is a method that can be used as a tool to analyze the relationships between aging environments and visualize the ranking of genotypes regarding the performance of seeds subjected to natural and artificial aging.

Resumo: Tem sido altamente requerida a elaboração, ajustes e adoção de testes e ferramentas que auxiliem na predição da armazenabilidade de sementes. Diante disso, este trabalho teve por objetivo analisar a eficiência de diferentes tempos de envelhecimento artificial na predição do desempenho das sementes de soja após o armazenamento, utilizando-se o método GGE biplot. Sementes de seis genótipos foram submetidas ao armazenamento, sob condição refrigerada e não refrigerada, e envelhecimento artificial, sendo envelhecidas artificialmente pelos períodos de 0, 48, 96 e 144 horas. As sementes recém-colhidas e após o envelhecimento natural e artificial foram submetidas a testes de germinação e vigor. Os experimentos foram analisados separadamente, por meio de teste de médias, análise de regressão e teste de identidade de modelos, e em conjunto, utilizando-se o método GGE biplot. O envelhecimento artificial, à temperatura de 41 °C por 96 horas apresenta potencial para ser utilizado na predição do desempenho de sementes de soja após oito meses de armazenamento. O GGE biplot é um método que pode ser utilizado como ferramenta para analisar as relações entre os ambientes de envelhecimento e visualizar o ranqueamento dos genótipos quanto ao desempenho das sementes submetidas ao envelhecimento natural e artificial.

Abstract Currently, sweet corn is considered an important crop due to its high sugar content and low starch content. Important sugars in sweet corn include sucrose, fructose, glucose, and maltose. The purpose of the present study was to use the yield indices of the eight examined sweet corn hybrids and the correlation of the yield indices together. Concentration is important for consumers in terms of yield indices. The research site was located at the Látókép Experimental Station of the University of Debrecen. The small plot experiment had a strip plot design with four replications. The previous crop was sweet corn; the plant density was 64 thousand/ha. The obtained result indicates that Biplot AMMI based on IPCA1 showed that the DB, NO, GS, and GB hybrids had stability and high performance in terms of yield indices. At the same time, fructose and glucose had stable parameters for the hybrids involved in the study. IPCA1 AMMI biplot showed that the ME hybrid had stability and high performance in terms of iron and zinc as well. IPCA2 AMMI biplot showed that DE, GB, and GS hybrids had stability and the highest performance on yield parameters in the scope of the research. Fructose, glucose, and sucrose had stable parameters on hybrids based on IPCA2. The DB and SE hybrids had desirable performance in Lutein and Zeaxanthin based on the biplot. The DE hybrid had a maximum performance on iron and zinc parameters.

Resumo Atualmente, o milho-doce é considerado uma cultura importante devido ao alto teor de açúcar e baixo teor de amido. Açúcares importantes no milho-doce incluem sacarose, frutose, glicose e maltose. O objetivo do presente estudo foi utilizar os índices de rendimento dos 8 híbridos de milho-doce examinados e a correlação dos índices de rendimento juntos. A concentração é importante para os consumidores com relação aos índices de rendimento. O local da pesquisa foi localizado na Estação Experimental Látókép da Universidade de Debrecen, Hungria. O experimento realizado em pequenas parcelas teve um desenho de parcela de tiras com quatro repetições. A safra anterior era de milho-doce; a densidade de plantas foi de 64 mil/ha. O resultado obtido indica que o Biplot AMMI baseado no IPCA1 mostrou que os híbridos DB, NO, GS e GB apresentaram estabilidade e alto desempenho em termos de índices de produtividade. Ao mesmo tempo, frutose e glicose apresentaram parâmetros estáveis para os híbridos envolvidos no estudo. O biplot IPCA1 AMMI mostrou que o híbrido ME apresentou estabilidade e alto desempenho também quanto ao ferro e zinco. Já o biplot IPCA2 AMMI mostrou que os híbridos DE, GB e GS tiveram estabilidade e o melhor desempenho nos parâmetros de rendimento no escopo da pesquisa. Frutose, glicose e sacarose tiveram parâmetros estáveis em híbridos baseados em IPCA2. Os híbridos DB e SE tiveram desempenho desejável em luteína e zeaxantina com base no biplot. O híbrido DE teve desempenho máximo nos parâmetros de ferro e zinco.

RESUMEN En Nariño, las variedades de arveja voluble, debido a su alta capacidad productiva, no logran mantenerse erguidas a pesar del uso de sistemas de tutorado, lo que genera acame y pérdidas en el rendimiento y la calidad del producto. Una opción viable para mitigar el problema es el uso de genotipos volubles con el gen afila que reemplaza hojas por zarcillos, favoreciendo el agarre de las plantas sobre las cuerdas que sirven de tutores. En busca de una solución a este problema, se evaluó la adaptabilidad y estabilidad fenotípica para el rendimiento en vaina verde de 20 líneas de arveja voluble con el gen afila y los testigos de hoja normal Obonuco Andina y Sindamanoy en cinco municipios del sur del departamento de Nariño. En cada localidad se aplicó un diseño de bloques completos al azar con cuatro repeticiones. Los datos obtenidos se analizaron utilizando los modelos de Eberhart y Russell y AMMI. En el modelo de Eberhart y Russell, los ambientes más favorables fueron Puerres y Gualmatán y el ambiente más desfavorable fue Potosí. Las líneas GR15, GR10 y la variedad Sindamanoy fueron seleccionadas como de alto rendimiento, adaptables y predecibles. El análisis de varianza para el modelo AMMI indicó un alto efecto ambiental resultante de ambientes contrastantes y baja diversidad entre las líneas con el gen afila evaluadas. El índice de selección (GSIi) obtenido a partir del valor de estabilidad (ASV) y la clasificación por rendimiento, permitió la identificación y selección por orden de mérito de los genotipos Obonuco Andina, GR15, GR14, GR28, GR10, GR2, GR23, Sindamanoy y GR3 como los de mayor estabilidad y rendimiento. La coincidencia en la selección entre los modelos Eberhart y Russell y AMMI fue del 33,3%.

ABSTRACT In Nariño, the climbing pea varieties, due to their high production capacity, are unable to stand upright despite the use of trellising systems, resulting in lodging and losses in yield and product quality. A viable option to mitigate the problem is the use of climbing genotypes with the afila gene that replaces leaves with tendrils, favoring the grip of the plants on the strings that serve as tutors. In search of a solution to this problem, the adaptability and phenotypic stability for green pod yield of 20 climbing pea lines with the afila gene and the normal-leaf controls Obonuco Andina and Sindamanoy were evaluated in five municipalities in the southern part of the department of Nariño. A randomized complete block design with four replications was used at each location. The data obtained were analyzed using the Eberhart and Russell and AMMI models. In the Eberhart and Russell model, the most favorable environments were Puerres and Gualmatán and the most unfavorable environment was Potosí. Lines GR15, GR10 and the Sindamanoy variety were selected as high yielding, adaptable and predictable. The analysis of variance for the AMMI model indicated a high environmental effect, resulting from contrasting environments and low diversity between the lines with the afila gene evaluated. The selection index (GSIi) obtained from the stability value (ASV) and the classification by yield, allowed the identification and selection in order of merit of the genotypes Obonuco Andina, GR15, GR14, GR28, GR10, GR2, GR23, Sindamanoy and GR3 as those with the highest stability and yield. The coincidence in selection between the Eberhart and Russell and AMMI models was 33,3%.

Resumen El objetivo de esta investigación fue identificar líneas de triticale (X. Triticosecale Wittmack) de valor en la industria alimentaria, con base en sus propiedades físicas y químicas. Veinte líneas élite de triticale primaveral del programa de investigación del CIMMyT se establecieron bajo un diseño experimental completamente al azarcón seis repeticiones durante 2018 en Celaya, Guanajuato, México, donde se evaluaron las variables: PMG, PH, humedad, cenizas, grasa, fibra, proteína y carbohidratos. Los resultados mostraron diferencias (p≤ 0.05) entre líneas, los mayores valores de PMG, PH y porcentaje superior en grasa, fibra, proteínas y carbohidratos se encontraron en las líneas L-18, L-17 y L-14, además de L-20, L-10 y L-19. El modelo AMMI detectó diferencias significativas (p≤ 0.05) para las líneas y sus interacciones con las variables fisicoquímicas; el gráfico biplot mostró que las líneas L-18, L-7, L-10, L-17 y L-20 expresaron mayor asociación con PMG, PH, proteínas, grasas, fibra y carbohidratos, lo que les permite considerarlas en el uso de la industria alimentaria por obtener promedios superiores.

Abstract The objective of this research was to identify lines of triticale (X. Triticosecale Wittmack) of value in the food industry, based on their physical and chemical properties. Twenty elite lines of spring triticale from the CIMMYT research program were established under a completely randomized experimental design with six repetitions during 2018 in Celaya, Guanajuato, Mexico, where the following variables were evaluated: WTG, HW, moisture, ashes, fat, fiber, protein, and carbohydrates. The results showed differences (p≤ 0.05) between lines, the highest values of WTG, HW and the highest percentage in fat, fiber, proteins and carbohydrates were found in lines L-18, L-17 and L-14, in addition to L-20, L-10 and L-19. The AMMI model detected significant differences (p≤ 0.05) for the lines and their interactions with physicochemical variables; the biplot graph showed that lines L-18, L-7, L-10, L-17 and L-20 expressed greater association with WTG, HW, proteins, fats, fiber and carbohydrates, which allows them to be considered in the use of the food industry for obtaining higher averages.

Grapevine bunch rot assessment has economic significance to wineries. Industrial working conditions require rapid assessment methods to meet the time constraints typically associated with grape intake at large wineries. Naturally rot-affected and healthy white wine grape bunches were collected over five vintages (2013 to 2016, 2020). Spectral data of 382 grape must samples were acquired using three different, but same-type attenuated total reflection mid-infrared (ATR-MIR) ALPHA spectrometers. The practical industrial problem of wavenumber shifts collected with different spectrometers was overcome by applying functional data analysis (FDA). FDA improved the data quality and boosted data mining efforts in the sample set. Canonical variate analysis (CVA) biplots were employed to visualise the detection and quantification of rot. When adding 90 % alpha-bags to CVA biplots minimal overlap between rot-affected (Yes) and healthy (No) samples was observed. Several bands were observed in the region 1734 cm-1 to 1722 cm-1 which correlated with the separation between rot-affected and healthy grape musts. These bands connect to the C=O stretching of the functional groups of carboxylic acids. In addition, wavenumber 1041 cm-1, presenting the functional group of ethanol, contributed to the separation between categories (severity % range). ATR-MIR could provide a sustainable alternative for rapid and automated rot assessment. However, qualitative severity quantification of rot was limited to only discriminating between healthy and severe rot (> 40 %). This study is novel in applying FDA to correct wavenumber shifts in ATR-MIR spectral data. Furthermore, visualisation of the viticultural data set using CVA biplots is a novel application of this technique.

Abstract Banana production on scientific basis is relatively new in Argentina. To evaluate potential productivity in the province of Formosa, four international banana varieties were tested over four campaigns at Estación Experimental Agropecuaria de INTA Chaco-Formosa. Data were also applied to determine the optimal plot size to confer statistical robustness to the field trials. Differences among varieties and among campaigns were detected but their interaction was not significant. Nevertheless, a biplot analysis identified patterns of differential performances and specific variety-campaign combinations. According to the maximum curvature method, plot size must include 6 to 8 plants of each variety for optimal statistical confidence of field trials. However, given that banana is a perennial crop and the Argentine environment is suboptimal for banana production, not all plants are productive every year. Hence, an optimum number of 10 plants is proposed to ensure statistical confidence in field trials in the province of Formosa.

Resumen La producción de banana sobre bases científicas es relativamente nueva en Argentina. Para evaluar la productividad potencial en la provincia de Formosa, se ensayaron cuatro variedades internacionales de banana durante cuatro campañas en el campo experimental de la Estación Experimental Agropecuaria de INTA Chaco-Formosa. También se aplicaron datos para determinar el tamaño de parcela óptimo para conferir robustez estadística a los ensayos de campo. Se detectaron diferencias entre variedades y entre campañas, pero su interacción no fue significativa. No obstante, un análisis biplot identificó patrones de rendimientos diferenciales y combinaciones específicas de variedad-campaña. Según el método de la curvatura máxima, el tamaño de la parcela debe incluir de 6 a 8 plantas de cada variedad para una confianza estadística óptima de los ensayos de campo. Sin embargo, dado que la banana es un cultivo perenne y que el medioambiente argentino no es óptimo para su producción, no todas las plantas se cultivan todos los años. Por lo tanto, se propone un número óptimo de 10 plantas para asegurar la confianza estadística en los ensayos de campo de la provincia de Formosa.

ABSTRACT The aim of this study was to select pear cultivars with production stability for the environmental conditions in the tropics. The design was in randomized blocks with 11 cultivars of pear, four replications and plots consisting of four plants. Between 2015 and 2019, the phenological were evaluated based on the beginning, full bloom, end and duration of flowering and harvest. The number and average fruit mass, yield per plant and estimated yield were also quantified. In the last year of evaluation, the quality of the fruits was quantified through the length and average diameter of the fruits, total titratable acidity, total soluble solids content and total soluble solids / total titratable acidity ratio. The data were submitted to the Scott–Knott grouping test and to quantify the divergence between cultivars was used the genetic distance. After detecting significant interaction between genotypes × environments, phenotypic stability of pear cultivars were analyzed by GGE Biplot methods for the estimated yield variable. The ‘Tenra’, ‘Triunfo’ and ‘Seleta’ cultivars are the most suitable for cultivation in regions with subtropical altitude climate. They are genetically similar, more adapted and stable, and have full or partial synchronized flowering for satisfactory productivity.

ABSTRACT The objective of the present work was to evaluate the influence of environmental variables on the interaction between genotypes and environments and to identify adapted and stable genotypes for grain seed yield. Twenty-one cultivars were evaluated in randomized blocks with four replications in the years 2016, 2017, and 2018 in the northeastern semi-arid region of Brazil, for seed yield and oil content. Factor regression methodologies and principal component analysis were used with predictions of the sum of the genotypic effects and the interaction to quantify the role of five environmental covariates in the genotype x environment interaction; the Harmonic Mean Method of Relative Performance of Genotypic Values was used for identifying adapted and stable genotypes. The covariance biplot model is useful for relating important environmental factors and indicating their relative effect on seed yield and oil content. Rainfall, relative humidity and maximum temperature contribute positively to increasing oil content while minimum temperature and solar radiation reduce it. Within the limits of the work, the maximum temperature positively influences grain production while the minimum reduces it. The most stable genotypes and those adapted for grain seed yield and oil content are BMX OPUS IPRO, P 98Y70 RR, BRS 333 RR, BRS 9280 RR, M 8644 IPRO, M 8372 IPRO, and ST 920 RR.

RESUMO O objetivo do presente trabalho foi avaliar a influência de variáveis ambientais na interação entre genótipos e ambientes e identificar genótipos adaptados e estáveis para a produção de sementes. Vinte e uma cultivares foram avaliadas em blocos ao acaso com quatro repetições nos anos de 2016, 2017 e 2018 no semiárido nordestino do Brasil, para rendimento de sementes e teor de óleo. Metodologias de regressão fatorial e análise de componentes principais foram utilizadas com previsões da soma dos efeitos genotípicos e a interação para quantificar o papel de cinco covariáveis ambientais na interação genótipo x ambiente; o Método da Média Harmônica de Desempenho Relativo de Valores Genotípicos foi usado para identificar genótipos adaptados e estáveis. O modelo biplot de covariância é útil para relacionar fatores ambientais importantes e indicar seu efeito relativo no rendimento de sementes e no teor de óleo. A precipitação, a umidade relativa e a temperatura máxima contribuem positivamente para aumentar o teor de óleo, enquanto a temperatura mínima e a radiação solar o reduzem. Dentro dos limites do trabalho, a temperatura máxima influencia positivamente a produção de grãos enquanto a mínima a reduz. Os genótipos mais estáveis e adaptados para rendimento de sementes de grãos e teor de óleo são BMX OPUS IPRO, P 98Y70 RR, BRS 333 RR, BRS 9280 RR, M 8644 IPRO, M 8372 IPRO e ST 920 RR.

ABSTRACT: This research determined the adaptability and stability of soybean yield for organic systems in different environments. Grain yield data (GY, kg ha-1) from experiments with six soybean genotypes evaluated in six environments in Brazil and one environment in Paraguay were used. The experimental design used was randomized blocks, organized in an incomplete factorial scheme, with six environments in Brazil (Toledo- PR, Palotina- PR, Mangueirinha- PR, Três Passos- RS, Passo Fundo- RS, Major Vieira- SC) and one in Paraguay (Bela Vista do Norte- PY) with six soybean genotypes (BRS 284, BRS 391, BRS 511, BRS 523, BRS 525, BRS 535) arranged in four replications per environment. BRS 511 genotype was characterized by high average grain yield and stability by the AMMI method. BRS 284 genotype was identified as the ideal genotype in the GGE biplot method. WAASBY and BLUP index selected BRS511 and BRS284 genotypes.

RESUMO: O objetivo deste trabalho foi determinar a adaptabilidade e estabilidade da produtividade da soja para sistemas orgânicos em diferentes ambientes. Foram utilizados dados de produtividade de grãos (GY, kg ha-1) de experimentos com seis genótipos de soja avaliados em seis ambientes no Brasil e um ambiente no Paraguai. O delineamento experimental utilizado foi blocos casualizados, organizados em esquema fatorial incompleto, com seis ambientes no Brasil (Toledo - PR, Palotina - PR, Mangueirinha - PR, Três Passos - RS, Passo Fundo - RS, Major Vieira - SC) e um no Paraguai (Bela Vista do Norte - PY) com seis genótipos de soja (BRS 284, BRS 391, BRS 511, BRS 523, BRS 525, BRS 535) dispostos em quatro repetições por ambiente. O genótipo BRS 511 foi caracterizado por alta produtividade média de grãos e estabilidade pelo método AMMI. O genótipo BRS 284 foi identificado como o genótipo ideal pelo método GGE biplot. Os índices WAASBY e BLUP selecionaram os genótipos BRS511 e BRS284.

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.

Abstract The objective of this study was to identify cowpea genotypes that fulfill the criteria of high grain yield, adaptability, and stability in the Mato Grosso do Sul (MS) region. Yield data from Value for Cultivation and Use (VCU) trials conducted in the municipalities of Dourados and Aquidauana/MS from March to August 2017 and 2018 were used, totaling four environments. A randomized block design with 14 treatments and four repetitions was adopted. Yield was evaluated by weighing the grains from the usable plot and converting the values to kilogram per hectare. After the analysis of variance, the interaction between genotypes and environments was evaluated by the methodologies of adaptability-stability analysis of Eberhart and Russell, Lin and Binns modified by Carneiro and GGE-Biplot. The genotypes Pingo-de-ouro 1-5-7, Pingo-de-ouro 1-5-5 and Bico-de-ouro 1-5-24 are stable, adaptable and productive for the state according to the complementary use of the methods.

Abstract The objective of this work was to use the GGE biplot method to select superior wheat genotypes for adaptability and stability, and to determine grain yield in Sussundenga, Bárué, and Lichinga, in Mozambique, in the 2018/2019, 2019/2020, and 2020/2021 crop years. Eleven treatments were evaluated, using ten wheat genotypes from International Maize and Wheat Improvement Center and a control cultivar developed by a Zimbabwean seed company and used in the national wheat program of the country. Grain yield was the main trait evaluated through individual and joint analyses of variance, adaptability, and stability. The effects of genotypes and the genotype × environment interaction were significant. The adaptability and stability analysis using the GGE biplot method showed that the first two main components explained 94.6% of the total variation for year effect, and 91.8%, for the location effect. The following genotypes can be selected for favorable and unfavorable environments: G1, considered ideal due to its high mean yield and stability over the years; and G4 and G7, for simultaneously showing a high yield and stability over the years.

Resumo O objetivo deste trabalho foi usar o método GGE biplot, para selecionar genótipos de trigo superiores quanto à adaptabilidade e à estabilidade e determinar a produtividade de grãos em Sussundenga, Bárué e Lichinga, em Moçambique, nas safras agrícolas de 2018/2019, 2019/2020 e 2020/2021. Foram avaliados 11 tratamentos, tendo-se utilizado dez genótipos de trigo provenientes do International Maize and Wheat Improvement Center e uma cultivar testemunha, desenvolvida por uma empresa zimbabweana de sementes e usada no programa nacional de trigo do país. A produtividade de grãos foi a principal característica avaliada, por meio de análises individuais e conjuntas de variância, adaptabilidade e estabilidade. Os efeitos dos genótipos e da interação genótipo × ambiente foram significativos. A análise de adaptabilidade e estabilidade pelo método GGE biplot mostrou que os dois primeiros componentes principais explicaram 94,6% da variação total para o efeito ano, e 91,8%, para o efeito localização. Os seguintes genótipos podem ser selecionados para ambientes favoráveis e desfavoráveis: G1, considerado ideal devido sua alta média de produtividade e estabilidade ao longo dos anos; e G4 e G7, por apresentarem, simultaneamente, alta produtividade e estabilidade ao longo dos anos.

Abstract The objective of this work was to select maize hybrids using the GGE biplot analysis, as well as to evaluate their stability and adaptability in different environments of the North and Midwest regions of Brazil. Thirty-six maize hybrids were evaluated in 2018, in the following five environments in the Northern and Midwestern regions, respectively: in the municipality of Vilhena, in the state of Rondônia; and in the municipalities of Sorriso, Sinop, Alta Floresta, and Carlinda, in the Northern region of the state of Mato Grosso. The experimental design was a randomized complete block design. The analysis of variance was performed, and adaptability and stability were estimated by the GGE biplot method based on grain yield performance. A significant interaction between genotypes and environments was detected, and the biplot analysis was efficient in explaining 62.74% of the total variation in the first two principal components, with the formation of three macroenvironments. The 1P2227, 'BRS 3042', and 1P2265 hybrids showed high yield, responsiveness, and stability in the evaluated environments. The DKB310VTPRO2 hybrid was the most unstable genotype. The recommended hybrids are: DKB310 for the Sorriso and Vilhena macroenvironment; 1M1810 and 1O2106 for the Carlinda environment; and 1M1807 for the Sinop environment.

Resumo O objetivo deste trabalho foi selecionar híbridos de milho, por meio da análise GGE biplot, bem como avaliar sua estabilidade e adaptabilidade em diferentes ambientes das regiões Centro-Oeste e Norte do Brasil. Trinta e seis híbridos de milho foram avaliados em 2018, nos seguintes cinco ambientes das regiões Norte e Centro-Oeste, respectivamente: no município de Vilhena, no estado de Rondônia; e nos municípios de Sorriso, Sinop, Alta Floresta e Carlinda, na região norte do estado de Mato Grosso. O delineamento experimental foi em blocos completos ao acaso. Realizou-se a análise de variância, e estimaramse a adaptabilidade e a estabilidade pelo método GGE biplot com base na produtividade. Detectou-se interação significativa entre genótipos e ambientes, e a análise biplot foi eficiente para explicar 62,74% da variação total nos dois primeiros componentes principais, com a formação de três macroambientes. Os híbridos 1P2227, 'BRS 3042' e 1P2265 apresentam alta produtividade, capacidade de resposta e estabilidade nos ambientes avaliados. O híbrido DKB310VTPRO2 foi o genótipo mais instável. Os híbridos recomendados são: DKB310 para o macroambiente Sorriso e Vilhena; 1M1810 e 1O2106 para o ambiente Carlinda; e 1M1807 para o ambiente Sinop.

Abstract The objective of this research was to select orange-fleshed sweet potato clones with high stability, yield, and β-carotene content in different planting seasons, using a selection index. Joint analysis of experiments and analysis of responsiveness and stability by the GGE biplot method were performed for the variables yield, dry matter percentage, and root flesh color. The variables yield, dry matter, color and stability were used to estimate a selection index. The GGE biplot analysis indicated that there are differences among clones in stability for Yield. However, the percentage of dry matter and color of the roots show low interaction in the different environments. Because of that, stability for yield was included in the selection index, together with yield, dry matter, and root orange color intensity. Finally, the selection index based on stability, yield, dry matter percentage and root color was efficient in the selection of a new biofortified sweet potato cultivar. orangefleshed fleshed βcarotene β carotene seasons Yield However environments intensity Finally cultivar