Title of article :
Comparisons of Two Statistical Models for Evaluating Boll Retention in Cotton
Author/Authors :
Wu، Jixiang نويسنده , , Jenkins، Johnie N. نويسنده , , Jr.، Jack C. McCarty نويسنده , , Watson، Clarence E. نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Abstract :
Boll number is one of the most important traits related to yield of upland cotton (Gossypium hirsutum L.). Evaluation of boll retention properties at different fruiting sites would provide useful information for cotton breeding and cotton growth management. The presence or absence of a boll at each fruiting position can be considered as binomially distributed. In this study, 188 upland cotton recombinant inbred (RI) lines, two parental lines, and a control cultivar, Stoneville 474, were used. These lines were planted at Mississippi State, MS in 1999. The data set was analyzed by the mixed linear model and logistic regression model. The results showed that the boll retention for the first position was significantly different among nodes but expressed similar total numbers from the first position among RI lines. Estimates for boll retention were similar for both models; however, the logistic regression model gave smaller confidence intervals for each estimate than the mixed linear model.
Keywords :
Montmorillonite , intercalation , Ibuprofen , In vitro release
Journal title :
Agronomy Journal
Journal title :
Agronomy Journal