Cross Performance Prediction Models

BALZARINI M; MILLIGAN S

Agronomy Projects

Louisiana State University

Lugar: Baton Rouge, USA ; Año: 2000 p. 60 - 63

<!-- /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-parent:""; margin:0cm; margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-fareast-font-family:"Times New Roman";} @page Section1 {size:612.0pt 792.0pt; margin:70.85pt 3.0cm 70.85pt 3.0cm; mso-header-margin:36.0pt; mso-footer-margin:36.0pt; mso-paper-source:0;} div.Section1 {page:Section1;} --> The initiation of the plant breeding selection cycle starts with the hybridization of parents. The choice of parents and hybrid combinations affect the quality of the progeny. The LAES sugarcane variety development program routinely evaluates progeny from crosses produced each year. The ireport is used to select parents and future crosses to make, and to further select progeny from the best crosses. Parental and cross information until this time has used the raw mean of the progeny tests to assess parental and cross value. Mixed model methods exist that uses information about the distribution of the parents in the parental population and the precision of the test in addition to the raw mean of a particular parent. This information can be used to temper and adjust the "predictors” to theorically improve the prediction. Several models to predict cross performance were compared.