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

Author:

Biganova S. G.1,Sukhorukih Yu. I.1,Pchikhachev E. K.2,Trusheva N. A.1

Affiliation:

1. FSBEI HE «Maikop State Technological University»

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

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.

Publisher

Maikop State Technological University

Subject

Anesthesiology and Pain Medicine

Reference10 articles.

1. Biganova S.G., Sukhorukikh Yu.I. Sampling size in assessing the quality indicators of hazelnuts. News of the Nizhnevolzhsky agrouniversity complex: Science and higher professional education. 2018; 1(49): 83–90. (In Russ.)

2. Program and methods of variety study of fruit, berry and nut crops / ed. by E.N. Sedov, T.P. Ogoltsova. Eagle: VNIISPK; 1999. (In Russ.)

3. The program of the North Caucasus Center for the selection of fruit, berry, flower and ornamental crops and grapes for the period up to 2030. Krasnodar: GNU SKZNIISiV; 2013. (In Russ.)

4. Sukhorukikh Yu.I. [et al.] Forest fruit species of the Northwestern Caucasus. Maikop: Kachestvo; 2010. (In Russ.)

5. Sukhorukikh Yu.I., Biganova S.G., Pchikhachev E.K. Sampling in assessing the quantitative indicators of the quality of hazel fruits. New technologies. 2018; 2: 143-150. (In Russ.)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3