Resumo -O objetivo deste trabalho foi identificar as melhores épocas de semeadura e avaliar a adaptabilidade e a estabilidade de cultivares de trigo, em duas regiões tritícolas do Paraná. Avaliou-se a produtividade de grãos de sete cultivares, em Guarapuava, e de nove, em Palotina, em quatro épocas de semeadura, em 2006, 2007 e 2008. Utilizou-se o delineamento experimental de blocos ao acaso, com quatro repetições em Guarapuava, e três em Palotina. Foram utilizadas a metodologia REML/BLUP e a dos efeitos principais dos genótipos e da interação genótipo x ambiente (GGE biplot) para a avaliação da adaptabilidade e da estabilidade das cultivares, e o método AMMI para a identificação das melhores épocas de semeadura. Semeaduras em julho, em Guarapuava, e em abril, em Palotina, maximizam a produtividade de grãos. As cultivares Safira, em Guarapuava, e CD 113, em Palotina, são estáveis, amplamente adaptadas e apresentam alta produtividade de grãos.Termos para indexação: Triticum aestivum, AMMI, GGE biplot, interação genótipo x ambiente, REML/BLUP. Adaptability and stability of wheat cultivars at different sowing dates in the state of Paraná, BrazilAbstract -The objective of this work was to identify the best sowing dates and to evaluate the adaptability and stability of wheat cultivars in two wheat growing regions of the state of Paraná, Brazil. Seven cultivars were evaluated at Guarapuava and nine at Palotina as to grain yield, at four sowing seasons, in 2006, 2007 and 2008. The experimental design was a randomized complete block design, with four and three replicates, for Guarapuava and Palotina, respectively. The methodologies REML/BLUP and genotype main effect and genotype x environment interaction (GGE biplot) were used for adaptability and stability analysis, and the AMMI model was used to identify the best sowing dates. Sowing in July, at Guarapuava, and in April, at Palotina, maximized grain yield. The cultivars Safira, at Guarapuava, and CD 113, at Palotina, are stable, highly adapted and show high grain yield.Index terms: Triticum aestivum, AMMI, GGE biplot, genotype x environment interaction, REML/BLUP. IntroduçãoO trigo (Triticum aestivum L.) é o cereal de maior importância econômica mundial, com mais de 600 milhões de toneladas produzidas anualmente. O Brasil contribui com cerca de seis milhões de toneladas, com destaque para a região Sul, responsável por 90% da produção nacional (Companhia Nacional de Abastecimento, 2010), e para o estado do Paraná, o maior produtor do país.A expressão do potencial de produtividade de grãos depende de fatores genéticos e ambientais, bem como da interação entre ambos, o que resulta em expressivas diferenças no desempenho das cultivares quando cultivadas em diferentes condições ambientais (Yan & Holland, 2010). O termo ambiente (época de semeadura, ano e práticas culturais) pode ser definido como o resultado dos componentes biofísicos que influenciam o desenvolvimento e o crescimento das plantas.O potencial de produtividade de grãos pode ser maximizado pela escolha adequa...
The objective of this work was to evaluate the productive performance, and the adaptability and stability parameters of modern soybean (Glycine max) cultivars in multi-environment trials, as well as to identify the ideal genotypes for eight growing environments in Brazil. A randomized complete block experimental design was carried out, with three replicates, for the evaluation of 46 soybean cultivars in eight environments, in the microregions of adaptation 102, 201, and 202, in the 2014/2015 crop season. A complex genotype x environment interaction occurred, with changes in the ranking of genotypes among locations. The NA 5909 RG, M6410IPRO, NS 5959 IPRO, NS6823RR, M5917IPRO, NS 6767 RR, and 6563RSF IPRO cultivars showed the highest mean yields. The NA 5909 RG, NS6823RR, M6410IPRO, and NS 5959 IPRO cultivars showed high adaptability and stability and high grain yield, in the evaluated environments, and were ranked next to the ideal genotype for the analyzed environments. There are modern soybean cultivars, which are adapted, stable, and highly productive, for cultivation in the microregions 102, 201, and 202 for soybean crop adaptation in Brazil.
Recently developed selection indexes provide solutions for plant breeding, using linear‐bilinear models that consider factors as fixed or random. This work aimed to compare the multitrait selection indexes based on factor analysis and ideotype‐design (FAI‐BLUP), GGE biplot, and grain yield × trait index (GYT), and proposes the use of predicted genetic values together with the GYT index (best linear unbiased prediction used in grain yield*trait index, GYT‐BLUP). In addition, this work indicates the best index to select superior soybean [Glycine max (L.) Merr.] genotypes, closer to the ideotype. Data from 35 homozygous soybean lines and four checks, were obtained from trials conducted in six locations in the southern region of Brazil in the 2014/2015 crop season. The grain yield, yield components, morphological and grain composition were evaluated. Phenotypic data were used for GGE biplot and GYT analysis, using the software GGE biplot. Genetic values were predicted with mixed models considering genotype and location as random and fixed effects, respectively. Thus, genetic values were used in GYT‐BLUP and FAI‐BLUP indexes. These methods were compared by Spearman's rank correlation. Genetic gains obtained by indexes and traits were estimated. Soybean lines L1 and L22, and cultivars C3 and C4 were selected based on their performance for multiple traits, for indexes used. Thus, we suggest to combined FAI‐BLUP and GYT‐BLUP indexes. The GYT‐BLUP has a high importance for grain yield, which was related to all other traits. FAI‐BLUP gave similar weights for all traits. So, combining different approaches can provide better answers to breeders.
-The objective of this work was to evaluate the association between estimates of adaptability, stability, and productivity in soybean (Glycine max), and to estimate the repeatability coefficient of these associations between years. A total of 22 genotypes were evaluated in 27 environments in the 2012/2013 crop season and in 19 environments in 2013/2014. In the next crop seasons, 28 genotypes were evaluated in 26 environments, in 2014/2015, and in 25 environments in 2015/2016, totalizing 97 trials. Fourteen methods were evaluated; Spearman correlation coefficients were obtained for the parameters of stability, adaptability, and productivity; and the repeatability coefficients, as well as the minimum number of required environments for a coefficient of determination of 80 and 90%, were
ABSTRACT. We estimated the genetic distances among 10 spring wheat genotypes based on pedigree data, morphological traits and AFLP markers, used individually and combined with morphological traits, to find the best predictors of general-and specific-combining abilities among parental genotypes. Ten wheat parents were crossed in a diallel form, disregarding reciprocal hybrids, totaling 45 combinations. The F 1 hybrids, F 2 populations and parents were evaluated in the field in 2007. The experimental plots consisted of 20 plants for F 1 hybrids and 40 plants for parental and F 2 populations. All methods (pedigree data, AFLP markers and morphological traits, used individually and combined) were found to be useful for the assessment of genetic diversity. The significant coefficient correlations ranged from low (0.45) to moderate (0.67) between the distance measures and hybrid performance. There was significant agreement between the distance measures based on AFLP markers vs morphological traits + AFLP markers (r = 0.47) and between pedigree data vs morphological traits 2391+ AFLP markers (r = 0.43). The pedigree distance was positively associated with traits 100-kernel weight and grain yield per plant in F 1 (correlations of 0.67 and 0.62, respectively) and F 2 (correlations of 0.62 and 0.59, respectively) generations. These correlation values indicate that the genetic distance, based on pedigree data, could replace diallel crosses for the selection of parents with higher combining ability and with moderate reliability.
RESUMOConhecer a resistência de genótipos de feijão à fitopatógenos é importante para uso em programas de melhoramento genético. Duas técnicas de inoculação bacteriana foram testadas para avaliar a sensibilidade de genótipos de feijão ao crestamento bacteriano comum, causado por Xanthomonas axonopodis pv. phaseoli. Foram inoculados folíolos de 56 genótipos de feijão, utilizando-se das técnicas de agulhas múltiplas e incisão com tesoura, utilizando o isolado XAP 15497. Foi possível classificar 21 genótipos resistentes, 13 moderadamente resistentes, 9 moderadamente suscetíveis e 13 suscetíveis pelo método de inoculação com agulhas múltiplas. No método de inoculação com tesoura, foi possível classificar 24 genótipos como resistentes, 21 como moderadamente resistentes, 7 como moderadamente suscetíveis e 4 suscetíveis. Os genótipos IPR Chopim, IAPAR 81, IAPAR 16, BRS Campeiro, BRS Radiante, IAPAR 80, UTF 6, SM 9906, PI 2072620, LP 01-51, PB 4, Uirapuru, IAPAR 20, Zonin, IAPAR 31, 2 V, CNPF 7762, BRS Talismã, Pérola, Lon Rosinha e UTF 9 tiveram comportamento semelhante diante dos dois métodos de inoculação. Verificou-se que os dois métodos de inoculação foram eficientes para a determinação das reações de suscetibilidade e resistência dos genótipos. Porém, a técnica de inoculação com agulhas múltiplas demonstrou maior praticidade e precisão para a avaliação da área foliar inoculada. Termos para indexação: Resistência, Phaseolus vulgaris, Xanthomonas axonopodis pv. phaseoli. ABSTRACTThe knowledge of resistance of bean genotypes to pathogens is important to genetic breeding programs. Two methods of bacterial inoculation were tested to evaluate the sensitivity of bean genotypes to common bacterial blight, caused by Xanthomonas axonopodis pv. phaseoli. Leaves of 56 bean genotypes were inoculated by the method of multiple needles and the method of incision with scissors, using the isolated XAP 15497. We classified 21 genotypes as resistant, 13 as moderately resistant, 9 as moderately susceptible, and 13 as susceptible by the method of inoculation with multiple needles. With the method of inoculation with scissors it was possible to classify 24 genotypes as resistant, 21 as moderately resistant, 7 as moderately susceptible, and 4 as susceptible. The genotypes IPR Chopim, IAPAR 81, IAPAR 16, BRS Campeiro, BRS Radiante, IAPAR 80, UTF 6, SM 9906, PI 2072620, LP 01-51, PB 4, Uirapuru, IAPAR 20, Zonin, IAPAR 31, 2 V, CNPF 7762, BRS Talismã, Pérola, Lon Rosinha, and UTF 9 had similar behavior in the two methods of inoculation. Both methods of inoculation were efficient in determining the reactions of susceptibility and resistance of the genotypes but the method of inoculation with multiple needles was more precise and practical in the evaluation of the inoculated portion of the leaf.
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