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Sample size for the evaluation of selection traits of nuts in hazelnut varieties

https://doi.org/10.47370/2072-0920-2022-18-4-118-127

Abstract

Planning works on the study of coblnut (hazelnut) requires establishing the sample size, taking into account the magnitude of the error and the significance of the results. Such studies have not been carried out in full with regard to plant varieties, taking into account modern requirements. The purpose of the research is to determine the sample size for calculating the value of selection traits of nuts in hazelnut varieties with different error rates and significance levels. For this purpose 12 main economically valuable breeding traits of nuts have been studied in 8 varieties – taste, weight, indestructibility, kernel yield, the presence of husks on it, strength and color of the shell, nut weight, one-dimensionality of fruits in size and shape, overall score. A well-known method has been used to calculate the sample size for evaluating each indicator with different relative and absolute errors for different levels of significance. The largest contribution to the overall maximum score of 59 points is made by the core indicators: taste – 25.42%, weight – 22.29%, indestructibility – 16.9%, yield – 11.31%. The share of other features is estimated at 2.25 – 6.78%. For a relative estimate of 5% accepted in Biology the estimated sample size for weight indicators was at a significance level of α = 0.05 / α = 0.1: walnut weight 30/21, kernel weight – 43/30 nuts; scoring indicators: shell color – 18/13, shell strength – 22/16, presence of husks on the kernel – 137/95, indestructibility of the kernel – 27/19, taste of the kernel – 25/17, total score of the selection category – 11/7 nuts. For indicators expressed as a percentage for α = 0.05: kernel yield with an error of 1% – 98, damaged by diseases, pests with an error of 10% – 62, one-dimensional in size with an error of 10% – 57, one-dimensional in shape – with 10%, error – 54 hazelnuts.

About the Authors

S. G. Biganova
FSBEI HE «Maikop State Technological University»
Russian Federation

Svetlana G. Biganova, an associate professor of the Department of Information Security and Applied Informatics, Candidate of Agricultural Sciences, an assistant professor

191 Pervomayskaya str., Maikop, 385000



Yu. I. Sukhorukih
FSBEI HE «Maikop State Technological University»
Russian Federation

Yury I. Sukhorukikh, a leading researcher, Doctor of Agricultural Sciences, a professor

191 Pervomayskaya str., Maikop, 385000



E. K. Pchikhachev
The Adygh branch of the Federal State Budgetary Institution of Science «The Federal Research Center «Subtropical Scientific Center of the Russian Academy of Sciences»
Russian Federation

Eduard K. Pchikhachev, a director of the Adygh branch, Candidate
of Agricultural Sciences

2 A Shkolnaya str., Tsvetochny settl., the Maikop district, the Republic of Adygea, 385778



N. A. Trusheva
FSBEI HE «Maikop State Technological University»
Russian Federation

Natalya A. Trusheva, head of the Department of Landscape Architecture and Forestry, Candidate of Agricultural Sciences, an associate professor

191 Pervomayskaya str., Maikop, 385000



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Review

For citations:


Biganova S.G., Sukhorukih Yu.I., Pchikhachev E.K., Trusheva N.A. Sample size for the evaluation of selection traits of nuts in hazelnut varieties. New Technologies. 2022;18(4):118-127. (In Russ.) https://doi.org/10.47370/2072-0920-2022-18-4-118-127

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ISSN 2072-0920 (Print)
ISSN 2713-0029 (Online)