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Comparisons of Two Statistical Models for Evaluating Boll Retention in Cotton
Author(s) -
Wu Jixiang,
Jenkins Johnie N.,
McCarty Jack C.,
Watson Clarence E.
Publication year - 2005
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj2004.0216
Subject(s) - gossypium hirsutum , mathematics , agronomy , cultivar , yield (engineering) , biology , inbred strain , materials science , metallurgy , biochemistry , gene
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.