Asreml r pol code#

All the analyses were performed on a workstation with a Intel i7-2600 3. REML estimates of variance components were obtained using ASREML-R package. The other methods were implemented using specific R packages: e1071 (SVR), glmnet (LASSO) and randomForest (RF).

Asreml r pol code#

spontaneum genome in the hybrid's genome exerted a significant negative effect on sucrose yield, whereas no significant effect was found under high altitude conditions. The method RKHS was implemented using the R code provided by. These effects also varied with the site: under low altitude conditions, the estimated proportion of S. spontaneum genome in the hybridsвЂ™ genome had significant effects on sucrose yield and its components. A linear regression showed that the estimated proportion of S. On the low altitude site with high photo-thermal conditions, stalk section was the main contributor to yield variance, while on the high altitude site with low photo-thermal conditions, stalk height was the main contributor. Each component's contribution to sucrose yield variance was site-dependent. Here, 1017 sows were used to investigate the association between polymorphisms in mitochondrial tRNA genes and NBA. It is also important to explore the effect on the number of piglets born alive (NBA). Multivariate mixed model of log transformed yield components was adjusted to estimate each component's contribution to sucrose yield genetic variance, taking into account interrelationships among components. Mutations in mitochondrial tRNA genes have been widely reported association with human reproductions. spontaneum genome in the genome of hybrid accessions ranged from 0.5 to 0. officinarum, while the estimated proportions of the S. A KВ =В 2 number of clusters clearly separated S. officinarum accessions genotyped with 419 DArT markers and using a Bayesian clustering method implemented in STRUCTURE software. The proportion of Saccharum spontaneum genome in the genome of each accession was estimated by analyzing the genetic structure of the panel associated with two outgroups formed by 19 S. The accessions were hybrids developed during the last century and representing the worldwide cultivated genetic diversity. In this study, sucrose yield was divided into seven component traits and studied in a panel of 155 sugarcane accessions phenotyped at two sites under contrasting photo-thermal conditions: one in low altitude and the other in higher altitude. Abiotic conditions experienced by sugarcane across its cropping areas differ in many respects among them, water availability and photo-thermal conditions particularly affect sucrose yield formation. Splitting this complex trait into yield components should make this task easier, as each component may be influenced in its own way by environmental factors and by genetic background. Improving sucrose yield is one of the main objectives of sugarcane breeding.