Balanced incomplete block design: an alternative for data collection in the optimized descriptive profile

Silva, Rita de Cássia dos Santos Navarro da; Minim, Valéria Paula Rodrigues; Silva, Alexandre Navarro da; Simiqueli, Andréa Alves; Lúcia, Suzana Maria Della; Minim, Luís Antônio

doi:10.1016/j.foodres.2014.06.042

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…The similarity of the regression models adjusted to the mean hedonic scores of the stimulus samples, in the different assays, was verified by overlap of the confidence intervals (CI's) of the regression parameters, with 95% confidence (Schenker & Gentleman, ; Silva, Minim, Silva, Simiqueli et al, ; Van Belle, ).…”

Section: Methodsmentioning

confidence: 92%

Validation of the hedonic threshold methodology in determining the hedonic rejection threshold

Filho

Lúcia

Minim

et al. 2018

Journal of Sensory Studies

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The hedonic thresholds methodology was recently proposed which allows for determination of two new sensorial thresholds, the compromised acceptance threshold and the hedonic rejection threshold (HRT). For a new methodology to be accepted by the scientific community, its ability to produce reliable results must be demonstrated. Thus, this study sought to validate this new methodology when used to calculate the HRT. In order to do so, the analytical performance indices of precision (repeatability, intermediate precision, and reproducibility), accuracy and robustness for the results for the HRT calculation were measured. The results of seven experiments demonstrated that the methodology possesses high repeatability, intermediate precision and robustness, and satisfactory accuracy and reproducibility. It was therefore concluded that the HRT determination methodology satisfactorily met the analytical performance criteria evaluated, therefore generating reliable results. Practical applications The hedonic thresholds methodology (HTM) has numerous applications, including the application of a more severe thermal treatment to obtain greater microbial or enzymatic inactivation, the determination of food shelf life based on its sensory acceptance, the reduction of specific, expensive ingredients in food formulations, reduction of ingredients that are harmful to health when consumed in excess (e.g., sucrose, sodium, and fat), determination of the maximum “defect” threshold that may be present in food and others. The HTM is a recently proposed methodology; therefore, the reliability of the values of the hedonic rejection threshold must be validated, calculated via the HTM. Reliability of the HRT results was confirmed when HTM validation was performed. Thus, the methodology can undoubtedly be applied for the intended purpose.

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Section: Methodsmentioning

confidence: 92%

Validation of the hedonic threshold methodology in determining the hedonic rejection threshold

Filho

Lúcia

Minim

et al. 2018

Journal of Sensory Studies

Self Cite

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“…To evaluate the repeatability, intermediate precision, and reproducibility of the HTM/CAT, the following protocols were followed: Similarity among regression models : it was verified through the overlapping of the confidence intervals (CI) of the parameters of the regression models fitted to the calculated t values in the different tests, considering a confidence level of 95% (Schenker & Gentleman, ; Silva et al, ; van Belle, ). Significance in analysis of variance : for each session, an analysis of variance (ANOVA) was performed to determine if there was a significant effect ( p < .05), among the consumer evaluations (effect of repetitions), of the differences between the hedonic scores of the samples (HSCS − HSSS). The mathematical model that represents the analysis is shown in Equation .…”

Section: Methodsmentioning

confidence: 99%

Validation of the hedonic threshold methodology in determining the compromised acceptance threshold

Filho

Lúcia

Minim

et al. 2017

Journal of Sensory Studies

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The compromised acceptance threshold (CAT) indicates the intensity of a stimulus from which product acceptance is significantly altered. This new affective threshold is determined by hedonic threshold methodology (HTM). The levels of analytical performance associated with precision (repeatability, intermediate precision, and reproducibility), accuracy, and robustness of CAT results were investigated. The methodology met the pre-established criteria, being accurate in assessments carried out consecutively (repeatability), in tests separated by a certain period of time as well as with different consumer panels (intermediate precision), and in tests carried out in different facilities (reproducibility). The methodology presented suitable accuracy, though slightly conservative, which may be desirable. The methodology was also shown to be robust as it allowed the reduction of panel members from 150 to 70 consumers. In this context, the methodology-which presented reliable results as well as high precision, accuracy, and robustness-was validated. Practical applicationsThe need for showing the quality of sensory measurements is being increasingly recognized and required for the acceptance of new methodologies within the scientific community, given that unreliable analytical data may lead to dreadful decisions as well as long-lasting financial losses.Results from the present work show that the data obtained through the hedonic threshold methodology/compromised acceptance threshold methodology met all criteria of the evaluated analytical indexes. Thus, one may conclude that this methodology has suitable precision (repeatability, intermediate precision, and reproducibility), accuracy, and robustness (by reducing consumer panel size) levels and is efficient in providing reliable results. Hence, this method can be applied for the intended purpose.

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“…Silva et al. (2014) evaluated the same number of treatments using two experimental designs (complete and incomplete) to verify the agreement between the data. The experiment carried out in the balanced incomplete block design presented similar average scores in comparison to the use of the same methodology conducted in the balanced complete block design.…”

Section: Discussionmentioning

confidence: 99%

“…The residual degrees of freedom of the incomplete block design will be different from the random block design when in the incomplete project the experiment requires a greater number of repetitions to complete the evaluation of the entire block (Silva et al., 2014); on the contrary, they will be the same in two designs. The incomplete block design is an alternative for the evaluation of a greater number of treatments, without limiting the experiment or losing information (Silva et al., 2014), and should be considered when the characteristics of the experiment allow, such as differences in environmental conditions, including soil type, climate, and agronomic management practices.…”

Section: Discussionmentioning

confidence: 99%

Experimental plan for tests with pea

et al. 2021

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Correct experimental planning is important to obtain more reliable data with high experimental precision. In this way, the results obtained and the technical recommendations generated are more reliable and representative. Thus, the objective of this work is to estimate the plot and sample sizes and the number of repetitions for the variables (a) number of pods per plant and (b) mass of pods per plant for pea (Pisum sativum L.) cultivation. Uniformity tests were carried in the years 2016, 2017, and 2018 in the experimental area of the Crop Science Department at Federal University of Santa Maria. The cultivar used was Pea Grain 40, which has an indeterminate growth habit, with a cycle of 75-90 d and a cylindrical pod. The plot size for evaluating the number of pods per plant and the mass of pods per plant for pea cultivation is eight and nine plants, respectively. The sample size for evaluating the number of pods per plant and the mass of pods per plant is eight plants in the direction of the line with a half-width of the 20% confidence interval of the mean. For the variables number of pods per plant and pod mass per pea plant, 10 and 12 repetitions are required, respectively, to evaluate up to 20 treatments in a randomized block design and in the incomplete blocks design with up to 100 treatments for significant differences of 35% between treatment averages. INTRODUCTIONThe pea (Pisum sativum L.) is an annual herbaceous legume, with cultivars classified as being of determined and indeterminate growth. Cultivars that show indeterminate growth are used for edible pods production, whereas cultivars with determined growth are used for grain production (Filgueira, 2008). Worldwide, in 2018, the production of dry pea occupied 7.88 million ha of cultivated area, with a production of 13.53 million tons; the largest producers are Europe (38.8%), North and South America (33.6%), Asia (20.5%

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Balanced incomplete block design: an alternative for data collection in the optimized descriptive profile

Cited by 6 publications

References 16 publications

Validation of the hedonic threshold methodology in determining the hedonic rejection threshold

Validation of the hedonic threshold methodology in determining the hedonic rejection threshold

Validation of the hedonic threshold methodology in determining the compromised acceptance threshold

Experimental plan for tests with pea

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