Path analysis of grain yield associated characters in Brazilians wheat genotypes (Triticum aestivum L.)

Carvalho, Ivan Ricardo; Nardino, Maicon; Follmann, Diego Nicolau; Demari, Gustavo Henrique; Olivoto, Tiago; Pelegrin, Alan Junior de; Szareski, Vinícius Jardel; Ferrari, Maurício; Rosa, Tiago Corazza da; Koch, Felipe; Aisenberg, Geison Rodrigo; Pedó, Tiago; Aumonde, Tiago Zanatta; Souza, Velci Queiróz de

doi:10.21475/ajcs.17.11.11.pne484

Cited by 13 publications

(15 citation statements)

References 10 publications

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“…Kavalco et al (2014), obtained results similar to present work. Carvalho et al (2017) reveled direct effect of main stem spike grain mass on grain yield. However, Okuyama et al (2004) reported positive direct effect of high magnitude for genetic correlation, but with low and negative total correlation.…”

Section: Resultsmentioning

confidence: 96%

Grain Yield and Its Associations With Pre-harvest Sprouting in Wheat

Rigatti¹,

Meira²,

Olivoto³

et al. 2019

JAS

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This study aimed to evaluate direct and indirect effects of agronomic traits importance on grain yield with focus in pre-harvest sprouting. Experiment was conducted in 2017 crop season, and conducted in a randomized block design, with three replications, with eight wheat cultivars (BRS Sábia, CD 105, CD 1104, CD 1440, Frontana, Jadeíte 11, Mirante and ORS Vintecinco). Grain yield and its components were evaluated, as well as other important traits such as pre-harvest sprouting. Data were submitted to variance analysis; and phenotypic, genotypic and environmental correlations were estimated to understand grain yield expression, direct and indirect effects of its components were evaluated through path analysis. Cultivar BRS Sabiá showed shorter cycle, cultivar CD 1104 was highlighted in number of spikes per area, hectoliter weight and grain yield. And cultivars Frontana, CD 1440 and ORS Vintecinco presented the best tolerances pre-harvest sprouting. Grain yield showed high and positive phenotypic and genotypic correlations with number of ears per square meter. Furthermore, high positive direct effect of pre-harvest sprouting on grain yield, revels lower tolerance for cultivars with high grain yield. Number of spikes per square meter showed intermediate and positive direct effect and pre-harvest sprouting had the greatest direct effect on grain yield.

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Section: Resultsmentioning

confidence: 96%

Grain Yield and Its Associations With Pre-harvest Sprouting in Wheat

Rigatti¹,

Meira²,

Olivoto³

et al. 2019

JAS

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“…However, the knowledge of yield components with the greatest contribution for seed production should not be based only on simple linear correlation, since its interpretation might lead to errors or misunderstandings, compromising the success of selection (Cruz et al, 2014). In this way, understanding linear correlations between traits allows only identifying tendencies, but it does not formulate cause and effect relationships (Carvalho et al, 2017). Due to this fact, multiple regressions (Stepwise) are used to determine which traits are essential to the dependent trait (Balbinot et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Expected values and predictive model for black seed (Plaseolus vulgaris L.) production

Carvalho

Szareski

Ferreira³

et al. 2020

Aust J Crop Sci

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The objective of this work was to determine the tendencies of expected values, linear associations, and to define which traits compose the best predictive model for mass of seeds per plant of black and pinto bean genotypes from different regions of Rio Grande do Sul. The experiments were conducted in the agricultural years of (2015-2017). The expected values are increased as function of the segregating generation of F2, F3, F4 for first pod insertion height and plant height. Furthermore, black commercial group determines superiority for number of seeds per plant, while pinto genotypes are closely related to increments of mass of seeds per plant. Linear associations are specific to germplasm origin, commercial group and segregating generations of bean genotypes regarding traits of agronomic interest. The predictive model created to increase mass of seeds per plant is specific for germplasm origins and commercial group of beans. Seed yield of pinto genotypes is maximized by plant height and number of seeds per plant. For genotypes of black commercial group, this increase is achieved through plant height, number of pods and seeds per plant in F3 and F4 segregating generations.

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“…Determining effects are attributed to precipitation and air temperature . Production behavior is dependent on climatic variables, relationships between the characters of interest, and characteristics of the genotypes (Cruz et al, 2014;Carvalho et al, 2017;Szareski et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Research Article Predictor model and canonical interrelationships based on morphological, bromatological and grain yield characteristics of dual purpose wheat

Silva¹,

Carvalho²,

Szareski³

et al. 2019

Genet. Mol. Res.

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We evaluated correlations between yield, meteorological and bromatological characters in five genotypes of dual-purpose wheat submitted to different cutting management systems. The experiments were carried out in 2014 and 2015. The experimental design was a randomized block, organized in a factorial scheme, with five genotypes of dual purpose wheat (BRS Tarumã, BRS Umbu, BRS Figueira, BRS Guatambu and BRS 277), three cutting managements (one, two and three cuts), with three replicates. The data of each cut management were submitted to linear correlation analysis, canonical correlations and stepwise predictions . We conclude that yield and bromatological components of the forage are closely related to the meteorological attributes and cut management. Neutral and acid detergent fiber, hemicellulose, mineral matter and total carbohydrates are influenced by maximum and minimum air temperature, as well as by incident solar radiation. The canonical interrelationships and the predictive models developed for the morphological, bromatological and grain yield attributes are specifically dependent on cut management in dual purpose wheat. ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (2): gmr18302 F.L. da Silva et al. 2

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Path analysis of grain yield associated characters in Brazilians wheat genotypes (Triticum aestivum L.)

Cited by 13 publications

References 10 publications

Grain Yield and Its Associations With Pre-harvest Sprouting in Wheat

Grain Yield and Its Associations With Pre-harvest Sprouting in Wheat

Expected values and predictive model for black seed (Plaseolus vulgaris L.) production

Research Article Predictor model and canonical interrelationships based on morphological, bromatological and grain yield characteristics of dual purpose wheat

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