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

Szareski, VinÃ­cius Jardel; Carvalho, Ivan Ricardo; Kehl, Kassiana; Levien, Alexandre Moscarelli; Lautenchleger, Francine; Barbosa, Mauricio Horbach; Conte, Giordano Gelain; Peter, Mitchell; Martins, Adelino; Villela, Francisco Amaral; Souza, V. Q. de; Gutkoski, Luiz Carlos; Pedó, Tiago; Aumonde, Tiago Zanatta

doi:10.4238/gmr18223

Cited by 6 publications

(8 citation statements)

References 9 publications

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“…The third groups are unstable and specifically adapted genotypes with high grain yield. The fourth groups are unstable and specifically adapted genotypes with low grain yield (Carvalho et al, 2019;Szareski et al, 2019). Genotypes or growing environments closely located to the axe origin of the biplot graph are considered phenotypically stable.…”

Section: Resultsmentioning

confidence: 99%

Adaptability and stability with multivariate definition of macroenvironments for wheat yield in Rio Grande do Sul

Szareski¹,

Carvalho

Kehl³

et al. 2021

Pesq. agropec. bras.

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The objective of this work was to evaluate the adaptability, stability, and environmental stratification of wheat (Triticum aestivum) grown in 20 environments, in the state of Rio Grande do Sul, Brazil. The experiments were performed during four crop years, in five wheat growing regions, considering 20 distinct growing environments. In the presence of genotype x environment (GxE) interaction, the additive main effects and multiplicative interaction analysis (AMMI) method was used. This method combines variances of additive effects of genotypes and environments with the multiplicative effects of GxE interaction, and the obtained scores are displayed in biplot graphs, using the principal component analysis. The environments stratified by the factor analysis, and the macroenvironments were defined according to grain yield behavior. The patterns of adaptability and phenotypic stability for genotypes 'BRS 327', 'BRS 331', 'Fundacep Raízes', 'BRS 328', and 'BRS Guamirim' were obtained through the multivariate biometric approaches AMMI and the factor analysis. The definition of macroenvironments is intrinsic to peculiarities of the crop year in the state of Rio Grande do Sul, and there is similarity between the municipalities of Santo Augusto, Cachoeira do Sul, and São Luiz Gonzaga, as well as between Cachoeira do Sul and São Gabriel.

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Section: Resultsmentioning

confidence: 99%

Adaptability and stability with multivariate definition of macroenvironments for wheat yield in Rio Grande do Sul

Szareski¹,

Carvalho

Kehl³

et al. 2021

Pesq. agropec. bras.

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“…Agricultural production is influenced by several factors, such as edaphoclimatic variations of environment, characteristics of the genotypes used and the relationship between genotypes x environments (G x E) (Szareski et al, 2019). These factors determine the phenotypic expression of the individual, so it is necessary to use parameters that show how much of phenotype expression comes from genetic variation .…”

Section: Introductionmentioning

confidence: 99%

“…To estimate factors responsible for the phenotypic variation of the character of interest, a study is carried out to define the phenotypic stability and adaptability of the genotype to favorable and unfavorable environments and the definition of macro environments (Szareski et al, 2017). In order to estimate superior genotypes and crop environments, several biometric tools are available, and it is necessary to use methods that represent the effects of genotypes x environments interaction (Szareski et al, 2019). On this occasion, using Additive and Multiplicative Main Effects Models (AMMI) it is possible to acquire estimates related to the variation of factors and the magnitude of the character of interest through a biplot graphic (Zobel, 1988).…”

Section: Introductionmentioning

confidence: 99%

Strategic Positioning of the Nutritional Profile of Wheat Grains Based on Genetic Parameters

Carvalho

Kehl²,

Pradebon

et al. 2022

Trop Subtrop Agroecosyst

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Background. Wheat is a staple food crop and easily accessible to the population, so the biofortification of wheat grains is substantial to mitigate malnutrition. Objective. To evidence and select wheat genotypes based on nutritional multi-characters of grains based on genetic parameters. Methodology. Experiments were carried out in the 2019 agricultural season in five wheat areas of the state of Rio Grande do Sul, in two sowing seasons, in the municipalities of Cachoeira do Sul, Cruz Alta, Santo Augusto, São Gabriel and Vacaria. The experimental design was randomized blocks, organized in a factorial scheme with 10 cultivation environments (5 sites by two sowing dates) and 30 genotypes, with three replications. To carry out the selection of genotypes, the WAASB, AMMI, GGE and BLUP methodologies were applied. Results. In terms of lipids and fibers, three mega environments were formed, highlighting the genotypes BRS 327, CD 1550, Ametista, CD 1303 and BRS 331, respectively. For mineral material, there was the formation of two mega environments and the genotypes that stood out were Quartz and Tbio Toruk, while for carbohydrate there was the formation of a mega environment and the genotype that stood out was CD 1550. The Tbio Mestre and LG Prisma genotypes were the ideal genotypes, with high performance in the Cachoeira do Sul environment – Sowing 2nd fortnight. Tbio Iguaçú expressed high levels of lipids in Santo Augusto – Seeding 1st fortnight, São Gabriel – Seeding 2nd fortnight and Vacaria – Seeding 2nd fortnight. ORS 1405 and Tbio Iguaçú expressed high levels of carbohydrates in the Vacaria - Seeding 2nd fortnight environment. Heritabilities without interaction effects were high, which characterizes high genotypic additive variance. Implications. The current results indicate that there is genetic variability, making it possible to select genotypes with greater expression of nutrients in the grains. Conclusion. The TBio Mestre, CD 1440, LG Prisma and Marfim genotypes expressed greater performance and stability of the evaluated traits.

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“…Due to the little information related to the genetic improvement of black oats, for the development of new genotypes, and biometric strategies that facilitate the selection process (Silveira et al 2010), the use of multicharacter selection tools provides the identification of complex characteristics, being able to consider components the selection of characters of the components of yield of the oats, that present indirect improvement in the indicators of physiological quality of the seeds. These methods allow for more homogeneity, minimal losses, assignment of multiple selection strategies and rapid gains during breeding and seed production (Pelegrin et al 2017;Sponchiado 2018;Szareski et al 2018;Carvalho et al 2019;Szareski et al 2019;Corazza et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Akaike criteria and selection of physiological multi-character indexes for the production of black oat seeds

Moura¹,

Carvalho²,

Silva³

et al. 2021

Commun. Plant. Sci.

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The selection of characters provides the identification of complex characteristics, the objective of the work was to use the Akaike criteria and multiple regressions to prove the multi character selection and the interrelationships based on the Phenotypic, Standardized, Willians, Multiplicative, Mulamba and Mock indexes for the selection of black oat genotypes with high physiological potential of seeds. The study was conducted in Fortaleza dos Valos -RS in an experimental design used in randomized blocks with three replications. The trends for the selection of various Step Wise variables and the Akaike criteria are similar for most selection indices. For selection indexes, the phenotypic index and the standardized index correlate with the morphological characteristics, being mainly for the number of tillers. The genetic and multiplicative indices correlate with the characteristics of the seed. The phenotypic selection index was the one that stood out the most, regardless of the criterion used. This index correlates positively with the number of tillers. To select plants that present superior quality seeds, individuals with characteristics such as smaller panicles and with less spikelet ramifications and less panicle mass are sought. Highlighted Conclusions1. The phenotypic selection index was the one that stood out the most. 2. To obtain quality seeds, plants with smaller panicles, less spiky branching and less panicle mass are sought.

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

Cited by 6 publications

References 9 publications

Adaptability and stability with multivariate definition of macroenvironments for wheat yield in Rio Grande do Sul

Adaptability and stability with multivariate definition of macroenvironments for wheat yield in Rio Grande do Sul

Strategic Positioning of the Nutritional Profile of Wheat Grains Based on Genetic Parameters

Akaike criteria and selection of physiological multi-character indexes for the production of black oat seeds

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