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

S. Biganova, Y. Sukhorukih, E. K. Pchikhachev, N. A. Trusheva
{"title":"Sample size for the evaluation of selection traits of nuts in hazelnut varieties","authors":"S. Biganova, Y. Sukhorukih, E. K. Pchikhachev, N. A. Trusheva","doi":"10.47370/2072-0920-2022-18-4-118-127","DOIUrl":null,"url":null,"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.","PeriodicalId":31411,"journal":{"name":"Journal of Process Management New Technologies","volume":"129 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Process Management New Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47370/2072-0920-2022-18-4-118-127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
榛子品种坚果选择性状评价的样本量
研究榛子的计划工作需要确定样本量,同时考虑误差的大小和结果的重要性。考虑到现代的要求,还没有对植物品种进行充分的研究。研究的目的是确定在不同错误率和显著性水平下榛子品种坚果选择性状值计算的样本量。为此,研究了8个品种坚果的12个主要经济价值育种性状——口感、重量、不破坏性、籽粒产量、有无壳、壳的强度和颜色、坚果重量、果实大小和形状的一维性、总分。一种众所周知的方法被用来计算样本量,以评估每个指标在不同显著性水平下的不同相对和绝对误差。在59分的总体最高分中,核心指标的贡献最大:味道- 25.42%,重量- 22.29%,不破坏性- 16.9%,产量- 11.31%。其他特征的份额估计在2.25% - 6.78%之间。对于生物学中接受的5%的相对估计值,重量指标的估计样本量在α = 0.05 / α = 0.1的显著性水平上:核桃重30/21,仁重- 43/30;评分指标:果仁颜色- 18/13,果仁强度- 22/16,果仁上有无果皮- 137/95,果仁不破坏- 27/19,果仁味道- 25/17,选择类别总分- 11/7。对于以百分比表示的指标,α = 0.05:榛子的籽粒产量误差为1% - 98,病虫害损害误差为10% - 62,尺寸一维误差为10% - 57,形状一维误差为10%,误差为54。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
13
审稿时长
4 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信