Influence of Climate Aridity on Technologies Cultivation of Winter Wheat

Melnik, A.F.

doi:10.15217/issn2587-666x.2020.1.41

Cited by 1 publication

(3 citation statements)

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“…Table 2 shows the average yield and quality of wheat grains over three years, while the computer implementation of the dispersion analysis requires "raw" data for the years of the experiment. The values of the smallest significant difference for all LSD05 indicators are given in the work [6], which allows to calculate standard error of experiment sx and to E3S Web of Conferences 254, 07006 (2021) FARBA 2021 https://doi.org/10.1051/e3sconf/202125407006 perform simulation of three times replication of experiments, adding to set of average arrays "averages plus or minus standard deviation".…”

Section: Statistical Study Methodologymentioning

confidence: 99%

“…In the work [5], on the example of the study on the effect of the probiotic "Olin" on the live weight of broilers, it is shown that a multiple comparison of the averages upon criteriumSheffe test using the procedure of a generalized linear model gives the researcher comprehensive information about the reliability of statistical conclusions. It is noted that if the number of variants in the experiment is not large (up to four), then for their comparison you can rely on the LSR criterion, but the maximum comparison accuracy is achieved for only one pair of averages, and rank criteria should be used to increase the accuracy of the comparison [6].…”

Section: Introductionmentioning

confidence: 99%

“…Taking into account the above mentioned, statistical analysis of the results of the studies on the effect of sowing time on quality indicators of the grains of winter wheat variety Moskovskaya 39 given in the work [6] is performed from the point of view of multiple comparison of average.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the influence of sowing time on yield and quality of the wheat grain using Multivariate dispersion analysis

et al. 2021

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The statistical analysis of the results of studies on the effect of sowing time on the yield and quality of winter wheat grains, from the perspective of multivariate variance analysis and multiple comparison of averages, is carried out in the article. It was found that the application of the procedure of a multivariate generalized linear model allows comparing the variants of experiments for all indicators in the aggregate. An important advantage of multiple comparisons over paired Student comparisons is also the ability to isolate homogeneous subgroups of experiments. In this study, post hoc comparisons according to the Tukey criterion were applied, the results of which are presented in tables of homogeneous experiment subgroups and multiple comparisons of indicators’ differences. The distribution of experiment variants by zones of desirability of Harrington functions of yield and generalized indicator of grain quality, depending on shift of sowing time is also presented. It is justified that the maxima of yield and quality of winter wheat grains provide a sowing period of 10 days later than previously recommended for the region. The use of multivariate dispersion analysis and multiple comparison of average increases the reliability of statistical conclusions, allows you to distinguish homogeneous versions of experiments in agricultural production.

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Section: Statistical Study Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%