Stability yield indices on different sweet corn hybrids based on AMMI analysis / Índices de estabilidade de rendimento em diferentes híbridos de milho-doce com base na análise AMMI

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.

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.

Maize topcrosses for yield performance by additive main effects and multiplicative interaction analysis / Seleção de topcrosses de milho para rendimento de grãos por meio da análise de efeitos principais aditivos e interação multiplicativa

The analysis of main additive effects and multiplicative interaction is commonly used in the evaluation of the genotype x environment interaction, however, its application can be used for other purposes, as it is performed in the presentresearch, which uses this technique in the selection of inbred lines, testers and hybrids in maize topcrosses. Thisresearch determined the effect of the inbred lines x testers interaction through the analysis of main additive effects and multiplicative interaction, verifying their efficiency in the selection of inbred lines, testers and hybrid combinations in topcrosses. The trials were carried out in the 2015/16 and 2016/17 crop seasons, with a complete block design, with three replications. Thirty S3 maize inbred lines were evaluated in crosses with the AG8025, P30B39, MLP102, 60.H23.1 and 70.H26.1 testers forming 150 hybrids topcrosses. The trait evaluated was grain yield. The adaptability and stability of testers and inbred lines were evaluated by the methodology of analysis of main additive effects and multiplicative interaction directed to the interaction of testers x inbred lines. The 96.3 inbred line has the most homogeneous performance and the highest grain yield, considering the crossing with all testers in both environments. The 70.H26.1 tester is considered the most stable and the most recommended for topcrosses. The best specific combinations were 96.3 x 70.H26.1 and 96.3 x 60.H23.1.

A análise dos principais efeitos aditivos e interação multiplicativa é comumente utilizada na avaliação da interação genótipo x ambiente, porém, sua aplicação pode ser estendida para outros propósitos assim como realizado no presente trabalho em que utiliza esta técnica na seleção de linhagens, testadores e híbridos em topcrosses de milho. O objetivo deste trabalho foi determinar o efeito da interação linhagens x testadores por meio da análise dos principais efeitos aditivos e da interação multiplicativa, verificando sua eficiência na seleção de linhagens, testadoras e combinações híbridas em topcrosses. Os ensaios foram realizados nas safras 2015/16 e 2016/17, com delineamento em blocos completos, com três repetições. Trinta linhagens de milho S3 foram avaliadas em cruzamentos com os testadores AG8025, P30B39, MLP102, 60.H23.1 e 70.H26.1 formando 150 topcrosses híbridos. A característica avaliada foi a produtividade de grãos. A adaptabilidade e estabilidade de testadores e linhagens foram avaliadas pela metodologia de análise de efeitos aditivos principais e interação multiplicativa direcionada à interação testadores x linhagens. A linhagem 96.3 apresentou o desempenho mais homogêneo e o maior rendimento de grãos, considerando o cruzamento com todos os testadores em ambos os ambientes. O testador 70.H26.1 é considerado o mais estável e o mais recomendado para topcrosses. As melhores combinações específicas foram 96.3 x 70.H26.1 e 96.3 x 60.H23.1.

Genetic Progress of Seed Yield and Nitrogen Use Efficiency of Brazilian carioca Common Bean Cultivars Using Bayesian Approaches.

Common bean (Phaseolus vulgaris L.) is one of the most important crops worldwide and is considered an essential source of proteins, fibers, and minerals in the daily diet of several countries. Nitrogen (N) is considered the most important nutrient for common bean crop. On the other hand, the reduction of chemical fertilizers is a global challenge, and the development of cultivars with more N use efficiency (NUsE) is considered one of the main strategies to reduce the amount of N fertilizers. Genetic progress of NUsE has been reported in several crops; however, there was still no quantity in common bean. In this study, our goal was to analyze the genetic progress of seed yield (SY) and NUsE-related traits of 40 carioca common bean cultivars release from 1970 to 2017 in eight environments under low (zero) or high N (40 kg ha-1) in top-dressing. Genetic progress, principal component analysis, correlations among traits, and cultivar stability were analyzed using Bayesian approaches. The lowest values of the deviance information criterion (DIC) for the full model tested indicated the presence of the genotype × N × environment interaction for all evaluated traits. Nitrogen utilization efficiency (NUtE) and nitrogen uptake efficiency (NUpE) were the traits that most contributed to discriminate cultivars. The genetic progress of SY under high N (0.53% year-1, 95% HPD = 0.39; 0.65% year-1) was similar to that obtained in low N conditions (0.48% year-1, 95% HPD = 0.31; 0.64% year-1). These results indicate that modern cultivars do not demand more N fertilizers to be more productive. In addition, we observed a high genetic variability for NUsE-related traits, but there was no genetic progress for these variables. SY showed negative correlation with seed protein content (Prot) in both N conditions, and there was no reduction in Prot in modern cultivars. Both modern and old cultivars showed adaptability and stability under contrasting N conditions. Our study contributed to improve our knowledge about the genetic progress of common bean breeding program in Brazil in the last 47 years, and our data will help researchers to face the challenge of increase NUsE and Prot in the next few years.

Stereological assessment of nephroprotective effects of Trachyspermum ammi essential oil against carbon tetrachloride-induced nephrotoxicity in mice / Evaluación estereológica de los efectos nefroprotectores del aceite esencial de Trachyspermum ammi contra la nefrotoxicidad inducida por tetracloruro de carbono en ratones

Trachyspermum ammi (T. ammi) has been used in folk medicine as anti-inflammatory, antipyretic, antibacterial, antifungal agent. The present study was conducted to investigate the protective effect of Trachyspermum ammi (T. ammi) essential oil against CC14- induced nephrotoxicity in mice. Thirty-five mice were divided into five groups as follows; positive control received olive oil 1 mL/ kg/ip, negative control received CC14 1 mg/kg/ip + 0.5 mL distilled water orally and tree treatment groups which received CC14 similar to the negative control and 200, 800 and 1600 µg/kg of T. ammi essential oil, respectively. All treatments were done twice a week (Saturday and Wednesday) for 45 days. On the last day, blood was sampled for urea and creatinine assessment and the left kidney was removed for stereological estimations. Essential oil of T. ammi at high dose significantly (p ≤ 0.05) decreased serum levels of creatinine and urea in comparison with CC14-treated group. Total volume of the kidney, cortex, proximal convoluted tubules (PC), glomerulus, vessels and interstitial tissue as well as total length of PC and vessel were significantly (p ≤ 0.05) increased following CC14 administration and were restored toward normal levels at high dose of T. ammi. Also, high dose of T. ammi improved glomerular loss significantly (p ≤ 0.05) as compared with CC14-treated group. Due to the chemical composition of T. ammi essential oil such as tymol, p-cymene, γ-terpinene which are antioxidant, it can be concluded that the essential oil of T. ammi can ameliorated renal injury induced following CC14 toxicity via its antioxidant components.

En la medicina popular se ha utilizado el aceite esencial de Trachyspermum ammi (T. ammi) como agente antiinflamatorio, antipirético, antibacteriano y anti fúngico. El presente estudio se realizó para investigar el efecto protector de Trachyspermum ammi (T. ammi) aceite esencial contra la nefrotoxicidad inducida en ratones. Treinta y cinco ratones fueron divididos en cinco grupos de la siguiente manera; el control positivo recibió 1 mL / kg / ip de aceite de oliva, el control negativo recibió 1 mg / kg / ip + 0,5 mL de agua destilada por vía oral y grupos de tratamiento arbóreo que recibieron un control similar al negativo y 200, 800 y 1600 mg / kg de T. aceite esencial de T. ammi, respectivamente. Todos los tratamientos se realizaron dos veces por semana (sábado y miércoles) durante 45 días. En el último día de tratamiento, se tomaron muestras de sangre para evaluar la urea y la creatinina, y se extrajo el riñón izquierdo para realizar estimaciones estereológicas. El aceite esencial de T. ammi a dosis altas significativamente (p ≤ 0,05) disminuyó los niveles séricos de creatinina y urea en comparación con el grupo tratado. El volumen total del riñón, la corteza, los túbulos contorneados proximales (PC), el glomérulo, los vasos y el tejido intersticial, así como la longitud total de la PC y el vaso aumentaron significativamente (p ≤ 0,05) después de la administración y se restablecieron a niveles normales con dosis altas de T. ammi. Además, una dosis alta de T. ammi mejoró significativamente la pérdida glomerular (p ≤ 0,05) en comparación con el grupo tratado. Debido a la composición química del aceite esencial de T. ammi como timol, p-cimeno, 𝛾-terpineno con propiedades antioxidantes, se puede concluir que el aceite esencial de T. ammi puede mejorar la lesión renal inducida después de la toxicidad a través de sus componentes antioxidantes.

Khellin and Visnagin, Furanochromones from Ammi visnaga (L.) Lam., as Potential Bioherbicides.

Plants constitute a source of novel phytotoxic compounds to be explored in searching for effective and environmentally safe herbicides. From a previous screening of plant extracts for their phytotoxicity, a dichloromethane extract of Ammi visnaga (L.) Lam. was selected for further study. Phytotoxicity-guided fractionation of this extract yielded two furanochromones, khellin and visnagin, for which herbicidal activity had not been described before. Khellin and visnagin were phytotoxic to model species lettuce (Lactuca sativa) and duckweed (Lemna paucicostata), with IC50 values ranging from 110 to 175 µM. These compounds also inhibited the growth and germination of a diverse group of weeds at 0.5 and 1 mM. These weeds included five grasses [ryegrass (Lolium multiflorum), barnyardgrass (Echinocloa crus-galli), crabgrass (Digitaria sanguinalis), foxtail (Setaria italica), and millet (Panicum sp.)] and two broadleaf species [morningglory (Ipomea sp.) and velvetleaf (Abutilon theophrasti)]. During greenhouse studies visnagin was the most active and showed significant contact postemergence herbicidal activity on velvetleaf and crabgrass at 2 kg active ingredient (ai) ha-1. Moreover, its effect at 4 kg ai ha-1 was comparable to the bioherbicide pelargonic acid at the same rate. The mode of action of khellin and visnagin was not a light-dependent process. Both compounds caused membrane destabilization, photosynthetic efficiency reduction, inhibition of cell division, and cell death. These results support the potential of visnagin and, possibly, khellin as bioherbicides or lead molecules for the development of new herbicides.

Monoterpene isolated from the essential oil of Trachyspermum ammi is cytotoxic to multidrug-resistant Pseudomonas aeruginosa and Staphylococcus aureus strains

Abstract INTRODUCTION: The aim of this study was to determine whether an herbal extract containing monoterpene exhibited activity against multidrug-resistant Staphylococcus aureus and Pseudomonas aeruginosa isolated from clinical infection samples. METHODS: The essential oil of Trachyspermum ammi (L.) Sprague ex Turrill (Apiaceae) fruit was extracted by hydrodistillation. Fruit residues were treated with hydrochloric acid and re-hydrodistilled to obtain volatile compounds. Compounds in the distilled oil were identified using gas-chromatography (GC) and GC-mass spectrometry (MS). The antibiotic susceptibility of all bacterial isolates was analyzed using both the disc diffusion method and determination of the minimum inhibitory concentration (MIC). The sensitivity of antibiotic-resistant isolates to essential oil was also determined by using the disc diffusion method and MIC determination. RESULTS: Of 26 clinical isolates, 92% were multidrug-resistant (MDR). Aromatic monoterpenes (thymol, paracymene, and gamma-terpinene) were the major (90%) components of the oil. Growth of S. aureus strains was successfully inhibited by the oil, with an inhibitory zone diameter (IZD) between 30-60mm and MIC <0.02μL/mL. The oil had no antimicrobial activity against clinical isolates of P. aeruginosa; rather, it prevented pigment production in these isolates. CONCLUSIONS: This study revealed that the essential oil of Trachyspermum ammi, which contains monoterpene, has good antibacterial potency. Monoterpenes could thus be incorporated into antimicrobial ointment formulas in order to treat highly drug-resistant S. aureus infections. Our findings also underscore the utility of research on natural products in order to combat bacterial multidrug resistance.

Análises Biplot: conceitos, interpretações e aplicações / Biplot analysis: concepts, interpretations and uses

A seleção e recomendação de genótipos superiores são dificultadas devido à ocorrência da interação genótipo e ambiente. Nesse contexto, as análises biplot têm sido cada vez mais utilizadas na análise de dados agronômicos, com interações de natureza complexa. Entretanto, as particularidades existentes no gráfico biplot dificultam sua interpretação, podendo induzir o pesquisador a erros. Assim, este artigo de revisão discute a aplicabilidade e a interpretação gráfica dos modelos AMMI (Additive Main effects and Multiplicative Interaction) e GGE biplot (genotype main effects + genotype environment interaction) destas análises no gráfico biplot. Também, visa a desmistificar a necessidade de comparação entre ambas as metodologias. Discute-se quanto à escolha da metodologia mais adequada, levando em consideração a informação requerida e os objetivos do pesquisador.

The genotype environment interaction (GE) influences on the selection and recommendation of cultivars. Biplot analysis has been increasingly used in data analysis of complex traits in agriculture. However, the peculiarities of biplot graphic could induce the researcher to errors on interpretation. Thus, this review argues the applicability and graphic interpretation of models AMMI (Additive Main Effects and Multiplicative Interaction) and GGE biplot (genotype main effects + genotype environment interaction). Moreover, also aims to explain that it is not adequate to compare both statistical methods. It is discussed the best methodology considering the information required and the research objectives.

Análises Biplot: conceitos, interpretações e aplicações

The genotype environment interaction (GE) influences on the selection and recommendation of cultivars. Biplot analysis has been increasingly used in data analysis of complex traits in agriculture. However, the peculiarities of biplot graphic could induce the researcher to errors on interpretation. Thus, this review argues the applicability and graphic interpretation of models AMMI (Additive Main Effects and Multiplicative Interaction) and GGE biplot (genotype main effects + genotype environment interaction). Moreover, also aims to explain that it is not adequate to compare both statistical methods. It is discussed the best methodology considering the information required and the research objectives.

A seleção e recomendação de genótipos superiores são dificultadas devido à ocorrência da interação genótipo e ambiente. Nesse contexto, as análises biplot têm sido cada vez mais utilizadas na análise de dados agronômicos, com interações de natureza complexa. Entretanto, as particularidades existentes no gráfico biplot dificultam sua interpretação, podendo induzir o pesquisador a erros. Assim, este artigo de revisão discute a aplicabilidade e a interpretação gráfica dos modelos AMMI (Additive Main effects and Multiplicative Interaction) e GGE biplot (genotype main effects + genotype environment interaction) destas análises no gráfico biplot. Também, visa a desmistificar a necessidade de comparação entre ambas as metodologias. Discute-se quanto à escolha da metodologia mais adequada, levando em consideração a informação requerida e os objetivos do pesquisador.

Análises Biplot: conceitos, interpretações e aplicações

The genotype environment interaction (GE) influences on the selection and recommendation of cultivars. Biplot analysis has been increasingly used in data analysis of complex traits in agriculture. However, the peculiarities of biplot graphic could induce the researcher to errors on interpretation. Thus, this review argues the applicability and graphic interpretation of models AMMI (Additive Main Effects and Multiplicative Interaction) and GGE biplot (genotype main effects + genotype environment interaction). Moreover, also aims to explain that it is not adequate to compare both statistical methods. It is discussed the best methodology considering the information required and the research objectives.

A seleção e recomendação de genótipos superiores são dificultadas devido à ocorrência da interação genótipo e ambiente. Nesse contexto, as análises biplot têm sido cada vez mais utilizadas na análise de dados agronômicos, com interações de natureza complexa. Entretanto, as particularidades existentes no gráfico biplot dificultam sua interpretação, podendo induzir o pesquisador a erros. Assim, este artigo de revisão discute a aplicabilidade e a interpretação gráfica dos modelos AMMI (Additive Main effects and Multiplicative Interaction) e GGE biplot (genotype main effects + genotype environment interaction) destas análises no gráfico biplot. Também, visa a desmistificar a necessidade de comparação entre ambas as metodologias. Discute-se quanto à escolha da metodologia mais adequada, levando em consideração a informação requerida e os objetivos do pesquisador.

Phenotypic stability of hybrids of Gália melon in Rio Grande do Norte state, Brazil

The objectives of this study were to determine the importance of simple and complex components of the interaction genotype × environment and to evaluate the adaptability and stability of Gália melon hybrids. Nine hybrids were tested in twelve environments of Rio Grande Norte State from 2000 to 2001. The experiments were carried out in a randomized complete block design with three replications. The statistical methods of Toler and Burrows, Wricke and AMMI (Additive Main effect and Multiplicative Interaction) were used to study the adaptability and stability. The complex component is responsible for most of the genotype × environment interaction for the yield and content of solids soluble of fruits. The environments associated with Mossoró and Assu municipalities are the most suitable to evaluate melon hybrids in the state. The hybrid DRG 1537 was the most likely to be grown in the Agro-industrial Complex Mossoró-Assu due to its stability, high productivity and high content of soluble solids.

Os objetivos deste estudo foram determinar a importância das componentes simples e complexa da interação genótipo × ambiente e avaliar a adaptabilidade e estabilidade de híbridos de melão Gália. Nove híbridos foram testados em doze ambientes do Estado do Rio Grande Norte no período de 2000 a2001. Os experimentos foram conduzidos em blocos completos casualizados com três repetições. Os métodos estatísticos de Toler e Burrows, Wricke e AMMI (Additive Main effect and Multiplicative Interaction) foram usados para estudar a adaptabilidade e estabilidade. A componente complexa é responsável pela maior parte da interação genótipo × ambiente para a produtividade e teor de sólidos solúveis dos frutos. Os ambientes associados com Mossoró e Assu são os mais adequados para a avaliação de melão híbrido. O híbrido DRG1537 é o mais promissor para o cultivo no Complexo Agro-industrial Mossoró-Assu, devido à sua estabilidade, alta produtividade e alto teor de sólidos solúveis.

A comparison between Joint Regression Analysis and the Additive Main and Multiplicative Interaction model: the robustness with increasing amounts of missing data

This paper joins the main properties of joint regression analysis (JRA), a model based on the Finlay-Wilkinson regression to analyse multi-environment trials, and of the additive main effects and multiplicative interaction (AMMI) model. The study compares JRA and AMMI with particular focus on robustness with increasing amounts of randomly selected missing data. The application is made using a data set from a breeding program of durum wheat (Triticum turgidum L., Durum Group) conducted in Portugal. The results of the two models result in similar dominant cultivars (JRA) and winner of mega-environments (AMMI) for the same environments. However, JRA had more stable results with the increase in the incidence rates of missing values.

A comparison between Joint Regression Analysis and the Additive Main and Multiplicative Interaction model: the robustness with increasing amounts of missing data

This paper joins the main properties of joint regression analysis (JRA), a model based on the Finlay-Wilkinson regression to analyse multi-environment trials, and of the additive main effects and multiplicative interaction (AMMI) model. The study compares JRA and AMMI with particular focus on robustness with increasing amounts of randomly selected missing data. The application is made using a data set from a breeding program of durum wheat (Triticum turgidum L., Durum Group) conducted in Portugal. The results of the two models result in similar dominant cultivars (JRA) and winner of mega-environments (AMMI) for the same environments. However, JRA had more stable results with the increase in the incidence rates of missing values.

Comparison of methods for phenotypic stability analysis of cassava (Manihot esculenta Crantz) genotypes for yield and storage root dry matter content

The objective of this work was to compare different phenotypic stability methods by using yield and storage root dry matter content data of eight cassava genotypes, assessed in eight environments in northwest of Paraná State, Brazil. All the methodologies applied showed to be able to study the stability of cassava genotypes, but each with its peculiarities. The methodologies of Eskridge, Annicchiarico and Lin and Binns were the most appropriated on situation with smaller effect of G x E interaction. The AMMI analysis and the Toler and Burrows methodology were the most specific on detailing specific adaptations of cassava genotypes to favorable and unfavorable environments. It could be suggested to use simultaneous AMMI analysis and Toler and Burrows methodology. The clone IAC 190-89 was the most promising.

O objetivo deste trabalho foi comparar diferentes metodologias de análise de estabilidade fenotípica considerando produção e teor de matéria seca nas raízes tuberosas de oito genótipos de mandioca, avaliados em oito ambientes na região Noroeste do Paraná. Todas as metodologias aplicadas se mostraram aptas no estudo da estabilidade dos genótipos avaliados, cada uma delas com suas particularidades. As metodologias de Eskridge, Annicchiarico e Lin e Binns se mostraram mais adequadas para situações de menor efeito da interação G x A. A análise AMMI e a metodologia de Toler e Burrows propiciaram um melhor detalhamento das adaptações específicas dos genótipos a ambientes favoráveis e desaforáveis. É sugerido o uso simultâneo da análise AMMI e da metodologia de Toler e Burrows. O clone IAC 190-89 mostrou-se mais promissor.

Consistency of two stability analysis methods in potatoes

The objective of this research was to compare the consistency of the bi-segmented and AMMI (additive main effects and multiplicative interaction analysis) methods for estimating yield stability in potatoes. Data of ten genotypes evaluated in 34 environments (local, growing season and year combinations) of the Rio Grande do Sul state, Brazil, in 1994 and 1995 were used. Three data sets were analyzed: 34-environment data set and two 17-environment data subsets, which were chosen by randomly dividing the total data set. For the 34-environment data set, the models gave similar results in relation to the stable genotypes, but they differed with regard to the unstable genotypes. For the 17-environment data sets, the bi-segmented model showed more consistent results, either between subsets or between these and the total data set. For the AMMI model, only the Santo Amor genotype showed consistency between one of the subsets and the total data set. In this work, the bi-segmented method was shown to be more consistent than the AMMI model.

O objetivo deste trabalho foi comparar a consistência dos métodos bi-segmentado e AMMI (additive main effects and multiplicative interaction analysis) em análise de estabilidade de ensaios de rendimento de batata. Foram utilizados dados de dez genótipos avaliados em 34 ambientes (combinações de local, período de cultivo e ano) do Rio Grande do Sul, Brasil, em 1994 e 1995. Três conjuntos de dados foram analisados: o conjunto de dados dos 34 ambientes e dois sub-conjuntos de dados de 17 ambientes, que foram escolhidos pela divisão aleatória do conjunto total de dados. Para o conjunto de dados dos 34 ambientes, os modelos deram resultados semelhantes quanto aos genótipos estáveis, mas divergiram quanto aos instáveis. Para os subconjuntos de dados de 17 ambientes, o modelo bi-segmentado revelou resultados mais consistentes, tanto entre os subconjuntos quanto entre estes e o conjunto total. Para o modelo AMMI, apenas o genótipo Santo Amor mostrou consistência entre um dos subconjuntos e o conjunto total. Neste trabalho, o método bi-segmentado mostrou-se mais consistente do que o modelo AMMI.

Consistency of two stability analysis methods in potatoes

The objective of this research was to compare the consistency of the bi-segmented and AMMI (additive main effects and multiplicative interaction analysis) methods for estimating yield stability in potatoes. Data of ten genotypes evaluated in 34 environments (local, growing season and year combinations) of the Rio Grande do Sul state, Brazil, in 1994 and 1995 were used. Three data sets were analyzed: 34-environment data set and two 17-environment data subsets, which were chosen by randomly dividing the total data set. For the 34-environment data set, the models gave similar results in relation to the stable genotypes, but they differed with regard to the unstable genotypes. For the 17-environment data sets, the bi-segmented model showed more consistent results, either between subsets or between these and the total data set. For the AMMI model, only the Santo Amor genotype showed consistency between one of the subsets and the total data set. In this work, the bi-segmented method was shown to be more consistent than the AMMI model.

O objetivo deste trabalho foi comparar a consistência dos métodos bi-segmentado e AMMI (additive main effects and multiplicative interaction analysis) em análise de estabilidade de ensaios de rendimento de batata. Foram utilizados dados de dez genótipos avaliados em 34 ambientes (combinações de local, período de cultivo e ano) do Rio Grande do Sul, Brasil, em 1994 e 1995. Três conjuntos de dados foram analisados: o conjunto de dados dos 34 ambientes e dois sub-conjuntos de dados de 17 ambientes, que foram escolhidos pela divisão aleatória do conjunto total de dados. Para o conjunto de dados dos 34 ambientes, os modelos deram resultados semelhantes quanto aos genótipos estáveis, mas divergiram quanto aos instáveis. Para os subconjuntos de dados de 17 ambientes, o modelo bi-segmentado revelou resultados mais consistentes, tanto entre os subconjuntos quanto entre estes e o conjunto total. Para o modelo AMMI, apenas o genótipo Santo Amor mostrou consistência entre um dos subconjuntos e o conjunto total. Neste trabalho, o método bi-segmentado mostrou-se mais consistente do que o modelo AMMI.

Common bean cultivars and lines interactions with environments

The performance of bean lines brought forth in breeding programs or of cultivars in use can be affected by environmental variability. The adaptability and stability of grain yield of 18 common bean cultivars and lines in 23 environments (combinations of seasons, years and locations) were evaluated in the State of São Paulo, Brazil. 'IAC-Carioca' and 'IAC-Carioca Eté' were used as standard cultivars for the carioca grain type, while 'FT-Nobre' and 'IAC-Una' represented the standard for black grains. The experiment was set up in a randomized complete block design with four replications and plots consisting of two, two central five meters rows flanked by border rows. Stability parameters were estimated by the methods Maximum Yield Deviations (MYD) and by the Additive Main Effects and Multiplicative Interaction Analysis (AMMI). For the identification of the most stable cultivars, the two methods led to consistent results, although by MYD the highest stability was always associated to the highest yield. 'MAC-733327' and 'LP 9637' were the most suitable cultivars and lines for the joint seasons, while 'LP 9637' and 'FT-Nobre' were the most suitable for the dry season. The MYD method combined a simple procedure, easiness of result interpretation, uniqueness of parameters, and association between stability and yield. On the other hand, the AMMI method simplified the identification of stable cultivars by visual inspection, also providing information on the environments. However, the complex nature which combines uni-and multivariate techniques hampers its widespread use in breeding programs.

A variabilidade de ambientes pode afetar o desempenho de linhagens de feijoeiro geradas nos programas de melhoramento e também dos cultivares em uso. Assim, foram avaliadas a adaptabilidade e a estabilidade de produção de grãos de 18 cultivares e linhagens de feijoeiro em 23 ambientes (combinações de épocas, anos e locais), no Estado de São Paulo. 'IAC-Carioca' e 'IAC-Carioca Eté' foram os cultivares usados como padrões de grãos tipo carioca, enquanto 'FT-Nobre' e 'IAC-Una' foram padrões para grãos pretos. Os ensaios foram instalados em blocos completos casualizados, com quatro repetições e parcela útil de duas linhas centrais de cinco metros. Os parâmetros de estabilidade foram estimados pelos métodos dos Desvios da Produtividade Máxima (MYD) e da Análise da Interação Multiplicativa e dos Efeitos Principais Aditivos (AMMI). Ambos produziram resultados congruentes em termos de identificação dos cultivares mais estáveis, porém a maior estabilidade esteve sempre associada à maior produtividade no MYD. 'MA-733327' e 'LP 9637' foram os cultivares mais indicados para o conjunto das épocas, águas e inverno, enquanto LP 9637 e FT-Nobre foram os mais estáveis na seca. MYD reuniu simplicidade de procedimento, facilidade de interpretação de resultados, unicidade de parâmetros e associação entre estabilidade e produtividade. Por sua vez, AMMI, além de informar sobre os ambientes, facilitou a identificação dos cultivares estáveis por inspeção visual. Porém sua fundamentação complexa, visto que combina técnicas uni e multivariadas, dificulta seu uso generalizado em programas de melhoramento.

Common bean cultivars and lines interactions with environments

The performance of bean lines brought forth in breeding programs or of cultivars in use can be affected by environmental variability. The adaptability and stability of grain yield of 18 common bean cultivars and lines in 23 environments (combinations of seasons, years and locations) were evaluated in the State of São Paulo, Brazil. 'IAC-Carioca' and 'IAC-Carioca Eté' were used as standard cultivars for the carioca grain type, while 'FT-Nobre' and 'IAC-Una' represented the standard for black grains. The experiment was set up in a randomized complete block design with four replications and plots consisting of two, two central five meters rows flanked by border rows. Stability parameters were estimated by the methods Maximum Yield Deviations (MYD) and by the Additive Main Effects and Multiplicative Interaction Analysis (AMMI). For the identification of the most stable cultivars, the two methods led to consistent results, although by MYD the highest stability was always associated to the highest yield. 'MAC-733327' and 'LP 9637' were the most suitable cultivars and lines for the joint seasons, while 'LP 9637' and 'FT-Nobre' were the most suitable for the dry season. The MYD method combined a simple procedure, easiness of result interpretation, uniqueness of parameters, and association between stability and yield. On the other hand, the AMMI method simplified the identification of stable cultivars by visual inspection, also providing information on the environments. However, the complex nature which combines uni-and multivariate techniques hampers its widespread use in breeding programs.

A variabilidade de ambientes pode afetar o desempenho de linhagens de feijoeiro geradas nos programas de melhoramento e também dos cultivares em uso. Assim, foram avaliadas a adaptabilidade e a estabilidade de produção de grãos de 18 cultivares e linhagens de feijoeiro em 23 ambientes (combinações de épocas, anos e locais), no Estado de São Paulo. 'IAC-Carioca' e 'IAC-Carioca Eté' foram os cultivares usados como padrões de grãos tipo carioca, enquanto 'FT-Nobre' e 'IAC-Una' foram padrões para grãos pretos. Os ensaios foram instalados em blocos completos casualizados, com quatro repetições e parcela útil de duas linhas centrais de cinco metros. Os parâmetros de estabilidade foram estimados pelos métodos dos Desvios da Produtividade Máxima (MYD) e da Análise da Interação Multiplicativa e dos Efeitos Principais Aditivos (AMMI). Ambos produziram resultados congruentes em termos de identificação dos cultivares mais estáveis, porém a maior estabilidade esteve sempre associada à maior produtividade no MYD. 'MA-733327' e 'LP 9637' foram os cultivares mais indicados para o conjunto das épocas, águas e inverno, enquanto LP 9637 e FT-Nobre foram os mais estáveis na seca. MYD reuniu simplicidade de procedimento, facilidade de interpretação de resultados, unicidade de parâmetros e associação entre estabilidade e produtividade. Por sua vez, AMMI, além de informar sobre os ambientes, facilitou a identificação dos cultivares estáveis por inspeção visual. Porém sua fundamentação complexa, visto que combina técnicas uni e multivariadas, dificulta seu uso generalizado em programas de melhoramento.