… F2, so that the analysis meets the missing-at-random (MAR) assumption under selection
and we actually estimate genetic variance components related to the base population (Piepho …

This paper reviews properties of ridge regression for genomewide (genomic) selection and
establishes close relationships with other methods to model genetic correlation among …

In the face of a changing climate, yield stability is becoming increasingly important for
farmers and breeders. Long-term field experiments (LTEs) generate data sets that allow the …

Recent review articles in this journal have compared the relative merits of two prominent
statistical models for analyzing yield‐trial data: Additive main effects and multiplicative …

… design, H 2 and h 2 have a number of simple and direct interpretations. For example, H 2
is … Thus, H 2 is equivalent to the coefficient of determination of a linear regression of the (latent…

… task, which is reminiscent of the traveling salesman problem (Piepho 2000), for which effi
cient solutions are … We analyzed trial means based on the factoranalytic model (Piepho 1997) …

Background Genomic selection (GS) is emerging as an efficient and cost-effective method for
estimating breeding values using molecular markers distributed over the entire genome. In …

The area under the disease progress curve (AUDPC) is frequently used to combine multiple
observations of disease progress into a single value. However, our analysis shows that this …

The stability of yield is an important characteristic to be considered when judging the value
of a cropping system relative to others. In the context of agricultural research, the analysis of …

Designed experiments conducted by crop scientists often give rise to several random sources
of variation. Pertinent examples are split‐plot designs, series of experiments and repeated …