Title: Standard errors of estimated genetic parametes
Description: Predicts standard errors of estimated genetic parameters

Author: Zhang Ya-Wen, Du Ying-wen,Ren Wen-long and Zhang Yuan-ming
Description: A few major genes and a series of polygene are responsive for each quantitative trait. Major genes are individually identified while polygene is collectively detected. This is mixed major genes plus polygene inheritance analysis or segregation analysis (SEA). In the SEA, phenotypes from a single or multiple segregation populations along with their parents are used to fit all the possible models and the best model is viewed as the model of the trait. There are fourteen combinations of populations available. Zhang YM, Gai JY, Yang YH (2003) <doi:10.1017/S0016672303006141>.

Authors@R: c( person("Jing-Tian", "Wang", role="aut")
, person("Yuan-Ming", "Zhang", role=c("aut","cre"), email="soyzhang@mail.hzau.edu.cn",
Description: A few major genes and a series of polygene are responsive for each quantitative trait. Major genes are individually identified while polygene is collectively detected. This is mixed major genes plus polygene inheritance analysis or segregation analysis (SEA). In the SEA, phenotypes from a single or multiple bi-parental segregation populations along with their parents are used to fit all the possible models and the best model of the trait for population phenotypic distributions is viewed as the model of the trait. There are fourteen types of population combinations available. Zhang Yuan-Ming, Gai Jun-Yi, Yang Yong-Hua (2003, <doi:10.1017/S0016672303006141>).
Packaged: 2022-03-29 02:34:32 UTC; Administrator
Yuan-Ming Zhang [aut, cre] (<https://orcid.org/0000-0003-2317-2190>)

Author: Wang Jing-Tian, Zhang Ya-Wen, and Zhang Yuan-Ming
Description: A few major genes and a series of polygene are responsive for each quantitative trait. Major genes are individually identified while polygene is collectively detected. This is mixed major genes plus polygene inheritance analysis or segregation analysis (SEA). In the SEA, phenotypes from a single or multiple bi-parental segregation populations along with their parents are used to fit all the possible models and the best model of the trait for population phenotypic distributions is viewed as the model of the trait. There are fourteen types of population combinations available. Zhang YM, Gai JY, Yang YH (2003) <doi:10.1017/S0016672303006141>.
Packaged: 2021-02-26 07:41:22 UTC; Administrator