The most important objective of lentil breeding programs is to develop new genotypes that are genetically more productive. Besides, it is necessary that the varieties obtained have short flowering cycles to allow the later sowing of summer crops. Selection is based through phenotypic means; however, we argue it should be based on genetic or breeding values because quantitative traits are often influenced by environments and genotype–environment interactions. The objectives of this study were to: (i) identify genotypes with the highest merit; (ii) estimate genetic parameters to know the genetic control of morphological traits in macrosperma and microsperma lentil types using best linear unbiased prediction (BLUP). Twenty-five recombinant inbred lines (RILs) from six F4 families selected on the basis of precocity and high yields were tested in four environments for important quantitative traits. The analysis of variance showed significant differences between genotypes, environments, and genotype–environment interactions for all the traits. Seven macrosperma- and two microsperma-type RILs were selected. Based on average ranking from breeding values and molecular data obtained with sequence-related amplified polymorphism (SRAP), the same genotypes were selected. Genotypic coefficients of variation, heritability across and by environment, and genetic correlation coefficients using BLUP were obtained. According to our results BLUP could replace molecular analysis methods because the selection process was simpler, more cost-effective, and more accurate. The breeding value of parents would give a better ranking of their genetic value than would their phenotypic value; therefore, the selection efficiency would be enhanced and the genetic gain would be more predictable. The selected genotypes could become potential commercial varieties or be used as parental lines in future hybridization programs.

The objective of this study was to estimate the myostatin (mh) gene’s effect on milk, protein and fat yield in a large heterogeneous cow population, of which only a small portion was genotyped. For this purpose, a total of 13 992 889 test-day records derived from 799 778 cows were available. The mh gene effect was estimated via BLUP using a multi-lactation, multi-trait random regression test-day model with an additional fixed regression on mh gene content. As only 1416 animals, (of which 1183 cows had test-day records) were genotyped, more animals of additional breeds with assumed known genotype were added to estimate the genotype (gene content) of the remaining cows more reliably. This was carried out using the conventional pedigree information between genotyped animals and their non-genotyped relatives. Applying this rule, mean estimated gene content over all cows with test-day records was 0.104, showing that most cows were homozygous +/+. In contrast, when gene content estimation was only based on genotyped animals, mean estimated gene content over all cows with test-day records was with 1.349 overestimated. Therefore, the applied method for gene content estimation in large populations needs additional genotype assumptions about additional animals representing genetic diversity when the breed composition in the complete population is heterogeneous and only a few animals from predominantly one breed are genotyped. Concerning allele substitution effects for one copy of the ‘mh’ gene variant, significant decreases of −76.1 kg milk, −3.6 kg fat and −2.8 kg protein/lactation were obtained on average when gene content estimation was additionally based on animals with assumed known genotype. Based on this result, knowledge of the mh genotypes and their effects has the potential to improve milk performance traits in cattle.

Subtraction of serial scores, Least Squares Estimators, and Best Linear Unbiased Predictors (BLUPs) were compared for estimating rates of cognitive change for Mini-Mental State Exam (MMSE) and Dementia Rating Scale (DRS) scores for 299 probable Alzheimer's disease patients. The BLUPs provided cleaner group estimates of subjects' intercepts and slopes and are preferred. Regression analysis of the BLUP estimates of rate of change indicated that steeper declines were associated with higher levels of education and older age at onset. These effects were much smaller than those due to estimated initial cognitive test score. Differences in longitudinal metric characteristics of the MMSE and DRS were found, with the DRS yielding more precise change estimates. We discuss modeling these longitudinal data, and discuss use of the estimates of rate of change and intercept as data in their own right. (JINS, 2001, 7, 813–824.)

Some new scientific developments are reviewed with respect to commercial application in poultry breeding. In the case of conventional breeding, ‘Best Linear Unbiased Prediction’ (BLUP) of breeding values and ‘juvenile selection’ schemes are evaluated. In the area of molecular genetic technology, ‘DNA fingerprinting’ and certain aspects of ‘gene transfer’ are considered.

The forceful arguments for the use of BLUP in dairy cattle breeding are not relevant to poultry. Its application is determined mainly by the balance between the additional cost of data processing and the value of the increase in genetic progress. The advantages of juvenile selection schemes for pure breeding are more obvious than for crossbreeding. The way in which the emphasis on crossbred records depends on the genetic correlation between purebred and crossbred information is also shown.

The prospects for DNA fingerprinting as an aid to selection will depend much on the identification of linked ‘trait genes’ having a marked influence on performance. In the case of gene transfer between species with the objective of influencing performance, viability appears to be a major obstacle to application in animal breeding. Such problems may be less serious when transferring genes for disease resistance. The application of these new developments is complicated by the fact that the aim of poultry breeding is to produce crossbreds. The new developments that have been assessed have to compete in terms of economic efficiency with the particularly favourable conditions which poultry provide for the application of conventional breeding procedures.