Adaptability and stability of wheat genotypes according to the phenotypic index of seed vigor

Szareski, Vinícius Jardel; Carvalho, Ivan Ricardo; Kehl, Kassiana; Levien, Alexandre Moscarelli; Nardino, Maicon; Dellagostin, Simone Morgan; Demari, Gustavo Henrique; Lautenchleger, Francine; Villela, Francisco Amaral; Pedó, Tiago; Souza, Velci Queiróz de; Aumonde, Tiago Zanatta

doi:10.1590/s0100-204x2018000600009

Cited by 26 publications

(21 citation statements)

References 13 publications

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“…This differential behavior is explained because plant height is a quantitative trait controlled by many genes, with elevated influence of the environment on phenotype and being highly dependent of management techniques, population density (Abuzar et al, 2011;Szareski et al, 2017), cycle duration, as early genotypes may express shorter plants (Cruz et al, 2010). Spike insertion height (Table 4) is closely related to losses in mechanic harvest, therefore, uniformity of this trait is essential for an efficient mechanic harvest.…”

Section: Resultsmentioning

confidence: 99%

“…The interest on evaluating the relative contribution of traits for diversity lays on the possibility to discard characters which poorly contribute to discriminate the genotypes, reducing labor, time and money spent on experimentation (Rotili et al, 2012;Nardino et al, 2017). The dispensable traits in studies of genetic divergence are those with few variations among genotypes, or redundant for being correlated with other traits, such as plant height and spike height, which commonly are measured in maize breeding programs (Miranda et al 2003).…”

Section: Resultsmentioning

confidence: 99%

“…Grain yield in maize is determined by the genotype's genetic constitution and its plasticity in different environment conditions. Considering different environments, importance must be given for G×E interaction (Cruz et al, 2012;Szareski et al, 2017;Carvalho et al, 2017). Growing environment is constituted by meteorological and edaphic elements, and cultural traits, which may differentially influence genotypes behavior (Galon et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Agronomic Performance and Multivariate Analysis Applied to Three-Waycross Maize Hybrids

Rosa¹,

Carvalho²,

Szareski³

et al. 2018

JAS

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The aim of this wok was to evaluate the agronomic performance of three-waycross maize hybrids grown in different environments, to determine linear associations and to employ multivariate analysis for the measured traits. The experimental design used was randomized blocks in factorial scheme, arranged in three replicates. The three-way cross maize hybrids evaluated evidence phenotypic variability for the traits spike diameter, spike length, number of rows with grains, number of grains per row, cob mass and spike grains mass. The growing environment of Campos Borges-RS favors the increment of spike diameter, number of grains per row, spike mass, cob diameter, cob mass, mass of a thousand grains, spike grains mass and grain yield. Significant interactions between three-way cross maize hybrids and growing environments are verified for plant height, spike insertion height and prolificity. The traits spike diameter, mass of a thousand grains and mass of grains per spike present positive correlation with maize grain yield. The distinction of three-way cross hybrids is based on spike insertion height, spike diameter, plant height and mass of a thousand grains. The hybrids 2B688 HX® and 2A55 HX® are genetically closer, according to the biometric approach of canonical variables.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Agronomic Performance and Multivariate Analysis Applied to Three-Waycross Maize Hybrids

Rosa¹,

Carvalho²,

Szareski³

et al. 2018

JAS

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“…There are many factors influencing wheat production dynamics, among them, the intrinsic genetic characteristics of each genotype, the edaphoclimatic attributes of growing environment, and the aspects related to genotype x environment interaction (G X E) (Woyann et al, 2016). Therefore, a detailed study is necessary to estimate what cause the phenotypic variation in the character of interest, as well to define macro-environments, phenotypic stability and genotype-specific adaptability to favorable or unfavorable environments (Szareski et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Research Article Genetic and phenotypic multi-character approach applied to multivariate models for wheat industrial quality analysis

Szareski¹,

Carvalho²,

Kehl³

et al. 2019

Genet. Mol. Res.

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We appled a genetic and phenotypic multi-character predicted approach to the use of the multivariate methods Additive Main effects and Multiplicative Interaction (AMMI) and Genotype Main Effects and Genotype Environment Interaction (GGE). The experiment was carried out in the agricultural crop year of 2016 in the state of Rio Grande do Sul, Brazil. The experimental design was a randomized block design, with 14 growing environments x five wheat genotypes arranged in three replications. The characters were falling number, gluten strengthand protein content, which were used to make multi-character the technological index of the industrial quality of the wheat grains and multi-character the technological index of the industrial quality of the wheat grains. Multi-character selection can be a useful tool for identifying genotypes and growing environments that maximize the industrial quality of wheat grain. The GGE method provides greater explicability of the effects of genotype x environment interaction based on multi-character selection. The multicharacter genetic approach predicted for the ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (3): gmr18223 V.J. Szareski et al. 2 selection of the industrial quality of wheat grain results in reliable inferences in the indication of adaptability and stability for the AMMI method and for GGE.

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“…Therefore, vigor is related to more subtle characteristics of the physiological performance of the seeds and to the germination efficiency, which must be fast and uniform, regardless of the environmental condition (Szareski et al, 2017). Several tests can be used to determine the physiological performance of seeds, among them, cold test and accelerated aging, first germination count, germination speed index, seedling length and dry matter (Kehl et al, 2016;Szareski et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Temporal Waterlogging and Physiological Performance of Wheat (Triticum aestivum L.) Seeds

Gehlling¹,

Segalin²,

Troyjack³

et al. 2018

JAS

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The aim of this work was to evaluate the physiological performance and some attributes of wheat seeds originated from plants submitted to soil flooding at different stages of development. The treatments consisted of periods of soil flooding, absence of flooding, two floods and three floods of the soil. Each flood lasted for three days. For the evaluation of the physiological quality, the seeds were submitted to the tests of germination and first germination count, germination speed index, shoot and primary root length, shoot and primary root dry matter mass, harvest index, thousand seed mass, electrical conductivity and isoenzymatic analysis. The increase of the soil flooding period did not affect germination, while the germination speed andindex, the harvest index and the thousand seed mass were lower in plants under the higher periods of soil flooding. The expression and intensity of bands of acid phosphatase and peroxidase isoenzymes were differently altered by periods of flooding. Thus, soil flooding negatively influences the physiological performance, the thousand seed mass and the harvest index when the plants are submitted to flooding of the soil.

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Adaptability and stability of wheat genotypes according to the phenotypic index of seed vigor

Cited by 26 publications

References 13 publications

Agronomic Performance and Multivariate Analysis Applied to Three-Waycross Maize Hybrids

Agronomic Performance and Multivariate Analysis Applied to Three-Waycross Maize Hybrids

Research Article Genetic and phenotypic multi-character approach applied to multivariate models for wheat industrial quality analysis

Temporal Waterlogging and Physiological Performance of Wheat (Triticum aestivum L.) Seeds

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