预测品种组合方法不需要双列杂交

L. Chaves, J. B. M. Filho
{"title":"预测品种组合方法不需要双列杂交","authors":"L. Chaves, J. B. M. Filho","doi":"10.1590/S0100-84551997000300023","DOIUrl":null,"url":null,"abstract":"Prediction of variety composite means was shown to be feasible without diallel crossing the parental varieties. Thus, the predicted mean for a quantitative trait of a composite is given by: Yk = a1 SVj + a2STj + a3 - a4, with coefficients a1 = (n - 2k)/k2(n - 2); a2 = 2n(k - 1)/k2(n - 2); a3 = n(k - 1)/k(n - 1)(n - 2); and a4 = n2(k - 1)/k(n - 1)(n - 2); summation is for j = 1 to k, where k is the size of the composite (number of parental varieties of a particular composite) and n is the total number of parent varieties. Vj is the mean of varieties and Tj is the mean of topcrosses (pool of varieties as tester), and and are the respective average values in the whole set. Yield data from a 7 x 7 variety diallel cross were used for the variety means and for the \"simulated\" topcross means to illustrate the proposed procedure. The proposed prediction procedure was as effective as the prediction based on Yk = - ( -)/k, where and refer to the mean of hybrids (F1) and parental varieties, respectively, in a variety diallel cross. It was also shown in the analysis of variance that the total sum of squares due to treatments (varieties and topcrosses) can be orthogonally partitioned following the reduced model Yjj’ = m + ½(vj + vj’) + + hj+ hj’, thus making possible an F test for varieties, average heterosis and variety heterosis. Least square estimates of these effects are also given","PeriodicalId":340356,"journal":{"name":"Brazilian Journal of Genetics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Predicting variety composite means without diallel crossing\",\"authors\":\"L. Chaves, J. B. M. Filho\",\"doi\":\"10.1590/S0100-84551997000300023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Prediction of variety composite means was shown to be feasible without diallel crossing the parental varieties. Thus, the predicted mean for a quantitative trait of a composite is given by: Yk = a1 SVj + a2STj + a3 - a4, with coefficients a1 = (n - 2k)/k2(n - 2); a2 = 2n(k - 1)/k2(n - 2); a3 = n(k - 1)/k(n - 1)(n - 2); and a4 = n2(k - 1)/k(n - 1)(n - 2); summation is for j = 1 to k, where k is the size of the composite (number of parental varieties of a particular composite) and n is the total number of parent varieties. Vj is the mean of varieties and Tj is the mean of topcrosses (pool of varieties as tester), and and are the respective average values in the whole set. Yield data from a 7 x 7 variety diallel cross were used for the variety means and for the \\\"simulated\\\" topcross means to illustrate the proposed procedure. The proposed prediction procedure was as effective as the prediction based on Yk = - ( -)/k, where and refer to the mean of hybrids (F1) and parental varieties, respectively, in a variety diallel cross. It was also shown in the analysis of variance that the total sum of squares due to treatments (varieties and topcrosses) can be orthogonally partitioned following the reduced model Yjj’ = m + ½(vj + vj’) + + hj+ hj’, thus making possible an F test for varieties, average heterosis and variety heterosis. Least square estimates of these effects are also given\",\"PeriodicalId\":340356,\"journal\":{\"name\":\"Brazilian Journal of Genetics\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brazilian Journal of Genetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1590/S0100-84551997000300023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Journal of Genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/S0100-84551997000300023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

品种组合方法的预测是可行的,无需双列杂交亲本品种。因此,复合材料数量性状的预测均值为:Yk = a1 SVj + a2STj + a3 - a4,系数a1 = (n - 2k)/k2(n - 2);A2 = 2n(k - 1)/k2(n - 2);A3 = n(k - 1)/k(n - 1)(n - 2);a4 = n2(k - 1)/k(n - 1)(n - 2)对j = 1 ~ k求和,其中k为组合物的大小(特定组合物的亲本品种数),n为亲本品种总数。Vj为品种的平均值,Tj为顶交(作为测试者的品种池)的平均值,和分别为整个集合的平均值。7 × 7品种双列杂交的产量数据用于品种手段和“模拟”顶交手段来说明所提出的程序。所提出的预测方法与基于Yk = - (-)/k的预测方法一样有效,其中和分别为杂交(F1)和亲本品种在品种双列杂交中的平均值。方差分析还表明,处理(品种和顶交)的总平方和可以按照简化模型Yjj′= m +½(vj + vj′)+ + hj+ hj′进行正交分割,从而可以对品种、平均杂种优势和品种杂种优势进行F检验。还给出了这些效应的最小二乘估计
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting variety composite means without diallel crossing
Prediction of variety composite means was shown to be feasible without diallel crossing the parental varieties. Thus, the predicted mean for a quantitative trait of a composite is given by: Yk = a1 SVj + a2STj + a3 - a4, with coefficients a1 = (n - 2k)/k2(n - 2); a2 = 2n(k - 1)/k2(n - 2); a3 = n(k - 1)/k(n - 1)(n - 2); and a4 = n2(k - 1)/k(n - 1)(n - 2); summation is for j = 1 to k, where k is the size of the composite (number of parental varieties of a particular composite) and n is the total number of parent varieties. Vj is the mean of varieties and Tj is the mean of topcrosses (pool of varieties as tester), and and are the respective average values in the whole set. Yield data from a 7 x 7 variety diallel cross were used for the variety means and for the "simulated" topcross means to illustrate the proposed procedure. The proposed prediction procedure was as effective as the prediction based on Yk = - ( -)/k, where and refer to the mean of hybrids (F1) and parental varieties, respectively, in a variety diallel cross. It was also shown in the analysis of variance that the total sum of squares due to treatments (varieties and topcrosses) can be orthogonally partitioned following the reduced model Yjj’ = m + ½(vj + vj’) + + hj+ hj’, thus making possible an F test for varieties, average heterosis and variety heterosis. Least square estimates of these effects are also given
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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