Evaluation of sugarcane genotypes and production environments in Paraná by GGE biplot and AMMI analysis

Mattos, Pedro Henrique Costa de; Oliveira, Ricardo Augusto de; Filho, João Carlos Bespalhok; Daros, Edelclaiton; Veríssimo, Mario Alvaro Aloiso

doi:10.1590/s1984-70332013000100010

Cited by 36 publications

(35 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Similar results for sugar productivity and stability of RB855156 were obtained by Mattos et al (2013), indicating excellent adaptation and sugar accumulation. RB855156 was also used as control on the following research Guerra et al (2009), in Paraná State, and by Verissimo et al (2012), in Rio Grande do Sul State, in which it presented high sugar productivity although it was not stable for the evaluated locations.…”

Section: Resultssupporting

confidence: 76%

“…Among these, G13 showed high average of TSSTH reaching the second general position (24.5 Mg ha -1 ), because of its potential to accumulate sugar. In Paraná State, Mattos et al (2013) observed similar behavior where a genotype showed high sugar productivity allied to low stability and this suggests variation among cultivated locations, although this condition was not identified by the authors.…”

Section: Resultsmentioning

confidence: 76%

“…The interaction evaluation through Additive Main Effects and Multiplicative Interactions analysis (AMMI) is being applied with success in: corn (MIRANDA et al, 2009), soy (POLIZEL et al, 2013, YOKOMIZO et al, 2013, and recently sugarcane (GUERRA et al, 2009, VERISSIMO et al, 2012, FERNANDES JÚNIOR et al, 2013, MATTOS et al, 2013, among others. The use of this method could help to identify highly productive and adapted genotypes, as well as regionalized indication and selection of test sites, in agronomical zoning (GAUCH JUNIOR;ZOBEL, 1996).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance Productive of Early Sugarcane Genotypes in Rio Grande Do Sul State, Brazil

Antunes

Schöffel

Silva

et al. 2017

RSA

View full text Add to dashboard Cite

O Brasil é o maior produtor mundial de cana-de-açúcar, sendo o estado do Rio Grande do Sul considerado uma região de expansão da cultura, carecendo de estudos relacionados à adaptabilidade e estabilidade de novos genótipos de cana-de-açúcar. O objetivo deste trabalho foi avaliar a adaptabilidade e estabilidade de genótipos de cana-de-açúcar (Saccharum spp.) de ciclo precoce, quanto à produção de colmos, açúcar e eficiência da conversão de energia solar em produção, no estado do Rio Grande do Sul. Foram avaliados 13 genótipos, em nove ambientes. O delineamento experimental utilizado foi de blocos ao acaso, com três repetições. As variáveis utilizadas para a análise AMMI (Análise de efeitos principais aditivos e interações multiplicativas) foram produtividade de colmos, de açúcar e eficiência da conversão de energia solar em produção. Os resultados revelaram que entre os genótipos de maturação precoce, o RB975932 (G12) foi superior a cultivar testemunha RB855156 em estabilidade, produtividade e eficiência da conversão de energia solarem produção. Os ambientes de teste de maior produtividade foram São Luiz Gonzaga, para primeira soca, e Santa Rosa tanto como cana planta como para primeira soca.

show abstract

Section: Resultssupporting

confidence: 76%

Section: Resultsmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance Productive of Early Sugarcane Genotypes in Rio Grande Do Sul State, Brazil

Antunes

Schöffel

Silva

et al. 2017

RSA

View full text Add to dashboard Cite

show abstract

“…Comparison of AMMI analysis applied to several different cultures indicates that this analysis typically explains 60% of the total variation by the SSGE interaction (Carbonell et al 2004, Kvitschal et al 2007, Gonçalves et al 2010, Barros et al 2013, Costa et al 2013, Mattos et al 2013, Oliveira et al 2014). …”

Section: Resultsmentioning

confidence: 99%

“…Therefore, the study on both adaptability and stability of genotypes is desirable in order to identify those with the most predictable responses to diverse environments. Among the several methodologies to analyze adaptability and stability (Eberhart and Russel 1966, Lin and Binns 1988, Gauch and Zobel 1996, Toler and Burrows 1998, the multivariate AMMI or Additive Main Effects and Multiplicative Interaction Analysis is the most widely used in Brazil (Carbonell et al 2004, Pacheco et al 2005, Kvitschal et al 2007, Kvitschal et al 2009, Gonçalves et al 2010, Oliveira et al 2010, Mattos et al 2013, Barros et al 2013, Oliveira et al 2014. This method combines analysis of variance and principal components to adjust the main effects (genotypes and environments) and the effects of G×E interactions Vencovsky 2001, Zobel et al 1988).…”

Section: Introductionmentioning

confidence: 99%

Phenotypic stability in cassava estimated by the AMMI analysis with supplementary genotypes

Morais

Santiago

Cavalcante³

2017

Crop Breed. Appl. Biotechnol.

View full text Add to dashboard Cite

Genotype × environment interaction of lowland bread wheat varieties for irrigation in different areas of Oromia

Bayissa

Mengistu

Gerema

et al. 2023

Plant Enviro Interactions

View full text Add to dashboard Cite

Ethiopia is the leading wheat producer in Sub‐Saharan Africa, and the productivity has increased in the last few years. There is also a potential for irrigated wheat production in the lowlands, even though its cultivation is at infant stage. The experiment was conducted in the Oromia region at nine locations in 2021 with irrigation. The study aimed to select high yielding and stable bread wheat variety/ies for lowland areas. Twelve released bread wheat varieties were tested using randomized complete block design with two replications. Environment had the largest effect, 76.5% of total variability, while genotypes 5.0% and GE interaction 18.5% explained total sum of squares. The average grain yield of varieties across locations ranged from the lowest 1.40 t ha−1 at Girja to the highest 6.55 t ha−1 at Daro Labu, with a grand mean of 3.14 t ha−1. The result showed that varieties released for irrigated areas, Fentale 1, Ardi, and Fentale 2, were ranked the top three based on overall environment mean grain yield. The first and second principal component account 45.5% and 24.7% of the genotype by environment interaction (G × E), respectively, explained 70.2% of the total variation. Daro Lebu and Bedeno were the most productive environment, while Girja was the least productive of irrigated bread wheat for lowlands of the Oromia region. Genotype Selection Index (GSI) showed that varieties Fentale 2, Fentale 1, Pavon 76, and ETBW9578 are stable and high yielding. Based on AMMI and GGE biplot analysis, Girja indicated the most discriminating area and Sewena as representative environment for selecting wide adaptable irrigated lowland varieties. The results of the present study indicated that Fentale 2 and Fentale 1 showed better yield stability across all test environments, therefore, these bread wheat varieties are recommended for wide cultivation in irrigated areas of the Oromia region.

show abstract

Evaluation of sugarcane genotypes and production environments in Paraná by GGE biplot and AMMI analysis

Cited by 36 publications

References 16 publications

Performance Productive of Early Sugarcane Genotypes in Rio Grande Do Sul State, Brazil

Performance Productive of Early Sugarcane Genotypes in Rio Grande Do Sul State, Brazil

Phenotypic stability in cassava estimated by the AMMI analysis with supplementary genotypes

Genotype × environment interaction of lowland bread wheat varieties for irrigation in different areas of Oromia

Contact Info

Product

Resources

About