Adaptabilidade e estabilidade de clones de cana-de-açúcar

Júnior, Antonio Ribeiro Fernandes; Andrade, João Antônio da Costa; Santos, Pedro César dos; Hoffmann, Hermann Paulo; Chapola, Roberto Giacomini; Carneiro, Monalisa Sampaio; Cursi, Danilo Eduardo

doi:10.1590/brag.2013.033

Cited by 8 publications

(9 citation statements)

References 13 publications

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“…Thus, the genotypes with values close to the ordinate (i.e., close to zero) will be the most stable within the tested environments given that they contribute less to the GxE interaction (Silveira et al, 2012;Fernandes Jr et al, 2013). In the AMMI2 model (PCA1 x PCA2), the genotypes close to the origin of the axes are more stable than those that are more distant because they contributed little to the magnitude of the GxE interaction.…”

Section: Resultsmentioning

confidence: 99%

“…When studying the effect of the rainfall regime on the GxE interaction, Ramburan (2011) found strong environmental interaction factors . Fernandes Jr et al (2013), Guerra (2010), Rosa (2008), and Silveira et al (2012) identified interactions in sugarcane, thereby furthering the recommendation of highly responsive cultivars and reporting improvement in the yield in specific regions.…”

Section: Introductionmentioning

confidence: 99%

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Implications of the clone by harvest interaction in the selection of sugarcane genotypes in a regionalized program

et al. 2017

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ABSTRACT. The recommendation of sugarcane clones depends on several factors, as the response or performance of the clones over different cuts or harvests. The clone by harvest interaction might be difficult to identify superior clones in the final stages of the sugarcane breeding program. Thus, the objective of this study was to investigate and describe the implications of the genotype by harvest interaction in the adaptability and stability of genotypes and delineation of mega-environments from a set of multi-environment trials. Fifteen clones and four checks were evaluated in eight environments. The trait TPH (tons of pol per hectare) was evaluated in two harvests (plant cane and ratoon cane) in 2010 and 2011. The joint analysis showed significance for harvest (H), environment (E), and genotype (G) effects. The interactions GxE, ExH, GxH, and ExGxH were also significant. The last three-way interaction indicated the differential response of the genotypes over environments, and that it depends on the harvests. The overall mean of the trials was 12.77 TPH. The coefficient of variation was 8.70% and the selective accuracy was 98.63%, indicating high experimental precision. The genotypes G4, G14, and G16 were statistically superior to the check varieties used; however, these genotypes did not show high stability as described by the additive main effects and multiplicative interaction method. There was a specific adaptation between the E7 and E5 environments and the G4 and G5 genotypes, respectively. In general, the grouping of the environments was inconsistent throughout the harvests, except for the E1 and E4 environments, which exhibited similarities for the different genotypes.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implications of the clone by harvest interaction in the selection of sugarcane genotypes in a regionalized program

et al. 2017

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“…This could have occurred due to favorable climate at highest altitude for this site (764 m). This methodology classifies the environments considering the set of environmental factors which influence the productivity of genotypes, being possible to highlight best environment based on the variable studied (Fernandes Júnior et al, 2013). In the bi-segmented linear regression method, adaptability and stability parameters were estimated for yield variable.…”

Section: Cultivar's Adaptability and Stabilitymentioning

confidence: 99%

Methods of Soybean Genotypes Selection in Paraná State, Brazil

Lara¹,

Neto²,

Neto³

et al. 2019

JAS

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The soybean crop presents several cultivars available. The performance of each cultivar in the field is associated with its genetic characteristics and the interaction of these with environment. Specific recommendations according to environment are made soybean cultivars release based on adaptability and stability analyzes. This research evaluated twelve soybean cultivars in the northern region of Paraná State Brazil, in order to recommend the most suitable and stable cultivar. The experiment was designed in complete randomized blocks four sites: Maringá, Floresta, Cambé and Apucarana, with four replications, in 2017/2018 growing season. Totaling 48 experimental units per site, that is, a total of 192 in the experiment. The variables evaluated were: one thousand grain mass, productivity, hectoliter weight, number of pods per plant and number of grains per plant. The cultivars were evaluated for adaptability and stability by the methodologies proposed by Lin and Binns (1988) and a bi-segmented regression method according to Cruz et al. (1989). The results indicated that the selection was more reliable when the two methodologies were used, due to their correlation coefficients. Soybean cultivar 3 presented promising behavior in regions studied.

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“…The influence of the interaction (G×E) on the performance of the genotypes is of utmost importance, knowing that each genotype has an inherent capacity to respond to environment to environment changes (Pinto et al, 2011). This phenomenon represents a barrier to selection and to cultivar guidance (Andrade et al, 2013). In order to minimize such effects, breeders have to provide guidance for cultivars with large adaptability and good stability-or regional guidance-since positive interaction associated with environmental predictability represents an opportunity for commercial use (Vasconcelos, Reis, Cruz, Sediyama, & Scapim, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…There are countless literatures on adapatability and stability using the AMMI model: Guerra et al (2009), , Silveira et al (2012), Souza, Bastos, Anunciação Filho, Dutra Filho, and Machado (2012), Verissimo, Silva, Aíres, Daros, and Panziera (2012), Andrade et al (2013), Fernandes Júnior et al (2013, Silveira et al (2013), Dultra Filho, Júnior, andSimões Neto (2015), Antunes, Schöffel, Silva, Eicholz, and Harter (2016).…”

Section: Introductionmentioning

confidence: 99%

Adaptability and Phenotypic Stability of the Sugarcane RB Genotype by the AMMI Method

Magalhães¹,

Silva²,

Rocha³

et al. 2018

JAS

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The objective of this work is to evaluate the adaptability and phenotypic stability of the RB sugarcane genotype using the AMMI method. The experiments were performed in five production units in the state of Pernambuco, in cultivars of sugarcane soca and ressoca, using 14 RB sugarcane genotypes-11 RB clones of series 2004 and three cultivars as controls. Each combination of production unit × cutting was considered as environment, for a total of 13 environments. The experimental design was with random blocks, and four repetitions. We estimated the parameters tons of sugarcane per hectare (TCH) and tons of pol per hectare (TPH). The genotype G12 displayed general adaptability, phenotypic stability and high productivity for the two parameters. The genotypes G10, G13 and G14 had the highest yield, largest contribution of G×E, indicating specific adaptability. The environments A12 and A13, in Primavera, are recommended for preliminary selection trials.

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Adaptabilidade e estabilidade de clones de cana-de-açúcar

Cited by 8 publications

References 13 publications

Implications of the clone by harvest interaction in the selection of sugarcane genotypes in a regionalized program

Implications of the clone by harvest interaction in the selection of sugarcane genotypes in a regionalized program

Methods of Soybean Genotypes Selection in Paraná State, Brazil

Adaptability and Phenotypic Stability of the Sugarcane RB Genotype by the AMMI Method

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