Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments

Szareski, Vinícius Jardel; Carvalho, Ivan Ricardo; Demari, Gustavo Henrique; Rosa, Tiago Corazza da; Souza, Velci Queiróz de; Villela, Francisco Amaral; Pedó, Tiago; Aumonde, Tiago Zanatta

doi:10.1590/2317-1545v40n4198333

Cited by 11 publications

(4 citation statements)

References 17 publications

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“…The phenotypic stability estimates of a genotype reflect the ability to predict the results for the next season, that is, they will indicate the predictability of the response of a given genotype under those growing conditions (Szareski et al., 2018).…”

Section: Resultsmentioning

confidence: 99%

Decomposition of phenotypic variation of white oats by meteorological and geographic covariables

Schmidt¹,

Carvalho²,

Silva³

et al. 2023

Agronomy Journal

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White oat (Avena sativa L.) is a cold season grass, with a very important role, both in animal and human food, due to the chemical composition of its grains, which have, among other beneficial components, fiber soluble food products, beta‐glucans. Therefore, the demand for grains of the crop is maximized and it is important to increase grain production. This can be achieved through the adequate positioning of the genotypes in the growing environments to maximize the agronomic performance of the crop. Thus, the objective of this work was to decompose meteorological and geographic variables in the positioning of white oat genotypes. The study took place considering 39 genotypes of white oats in 21 environments (in 13 years), in six municipalities of Rio Grande do Sul, two locations in the state of Santa Catarina, ten in Paraná and three municipalities in the state of São Paulo. The average grain yield (kg ha−1) of the genotypes in each environment was used to determine the adaptability and stability of the genotypes through the application of the Genotype and Genotypes by Environments Interaction (GGE biplot) biometric method and the reaction norm. The reaction norm pointed out that the genotypes UPFPS Farroupilha, UPFA Gaudéria and URS Guará demonstrated general adaptability to all environments, while FAEM 006 and URS Charrua expressed stability, high grain yield and higher than average genetic value. The GGE biplot graphically demonstrated that the genotypes URS Monarca and IPR Artemis demonstrated the highest grain yield and high stability in the environments Eldorado do Sul ‐ RS (E7) and Pelotas ‐ RS. Identifying genotypes with superior agronomic performance in specific environments minimizes the effects of genotype x environment interaction. These white oat genotypes can be used as sources of alleles for the development of new genotypes.This article is protected by copyright. All rights reserved

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Section: Resultsmentioning

confidence: 99%

Decomposition of phenotypic variation of white oats by meteorological and geographic covariables

Schmidt¹,

Carvalho²,

Silva³

et al. 2023

Agronomy Journal

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“…It is worth mentioning that the MTSI index provides improvements in a set of characteristics favorable to the established ideotype (Woyann et al, 2019). For Szareski et al (2018) the differential effects of the genotype x soybean production environment interaction influences by more than 68% the multivariate index of vigor of the seeds produced. The multi-character index was also used successfully by Batista et al (2018) Other strategies to improve and sustain soybean production in P-deficient soils with minimal and efficient application have become a research priority according to Uzokwe et al (2017), like the reality of Cerrado soils that naturally have low levels of this chemical element.…”

Section: Resultsmentioning

confidence: 99%

Genetics, phosphorus and correlations in soybean yield

Ferreira¹,

Carvalho

Loro

2022

Agron. Sci. Biotechnol.

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It is essential to select soybean genotypes with high yield and adaptability to the Cerrado Biome, mainly related to the supply of phosphorus. In soybeans, studies on correlations involving their characters with phosphate fertilization are insipient. The objective of this work was to evaluate the phenotypic correlations of soybean under different concentrations of phosphorus, aiming to improve the selection and identification of the most promising characters regarding the possibility of gains in grain yield. The study was conducted in Mineiros, Goiás, Brazil. The experimental design used was in randomized blocks in factorial corresponding to four soybean genotypes in five levels of phosphorus. The soil tillage system was carried out conventionally. The crop treatments relevant to the control of weeds and pests were carried out following the best practices of integrated pest management. At the end of the experiment, the data were submitted to multivariate analysis of variance. The treatments differed, mainly due to the number of grains per plant, where their similars were grouped in clusters. The correlations between the characters were significant and pointed to affinities, in addition to the potential explanation for the yield. It is concluded that genetic factor is largely responsible for the soybean yield indices, however, this was also influenced by the concentrations of triple super phosphate as a phosphate source. And that in order to increase the yield of the soybean crop it is necessary to reduce the stand and plant height, as well as to increase the average of pods with three grains, pods per plant and grains per plant.

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“…Applying this methodology in seed analysis allows the formation of clusters according to the parameters presented in the germination and vigor tests of seeds, facilitating a more accurate physiological, qualitative and behavioral characterization as well as management of the lines. In this analysis, the effects of contributions from the characteristics are considered jointly and not only individually, being of great value for selecting superior genotypes for high quality of seeds of legume species such as soybean (Barbosa et al, 2013;Martins et al, 2016;Szareski et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Multivariate analysis applied to the evaluation of genetic variability for the physiological quality trait of common bean seeds

Silva,

Lima,

Masetto

et al. 2023

J. Seed Sci.

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Knowledge of the genetic variability and of the variables for evaluating common bean lines for the physiological seed quality trait is important for the selection of promising common bean genotypes for this trait in breeding programs. Through multivariate analysis, the objective of this study was to evaluate the efficiency of physical and physiological tests for studies of genetic variability in seeds of common bean lines. Twenty lines of common bean were evaluated for thousand-seed weight, first count, germination, tetrazolium, electrical conductivity, accelerated aging, field emergence and seedling performance. The experimental data were subjected to analysis of variance, analysis of genetic parameters and multivariate analysis of principal components. Genetic variability was observed among the common bean lines, and two groups of lines with superior physiological performance according to the germination and seed vigor tests were identified. First germination count, germination, seedling length in the field, accelerated aging and emergence speed index tests are the most promising for characterizing the physiological potential of seeds of common bean lines.

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Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments

Cited by 11 publications

References 17 publications

Decomposition of phenotypic variation of white oats by meteorological and geographic covariables

Decomposition of phenotypic variation of white oats by meteorological and geographic covariables

Genetics, phosphorus and correlations in soybean yield

Multivariate analysis applied to the evaluation of genetic variability for the physiological quality trait of common bean seeds

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