Principles of Plant Genetics and Breeding. George Acquaah
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inheritance (alloploids) can be studied.
The genes controlling the trait of interest are independently distributed among the parents (i.e. uncorrelated gene distribution).
Absence of: non‐allelic interactions, reciprocal differences, multiple alleles at the loci controlling the trait, and GxE interactions.
Biparental mating (or pair crosses)
In this design, the breeder selects a large number of plants (n) at random and crosses them in pairs to produce ½ n full‐sib families. The biparental (BIP) is the simplest of the mating designs. If r plants per progeny family are evaluated, the variation within and between families may be analyzed as follows:
| Source | df | MS | EMS |
| Between families | (½ n) − 1 | MS1 | σ2w + rσ2b |
| Within families | ½ n(r − 1) | MS2 | σ2w |
where σ2b is the covariance of full‐sibs (= ½ VA + ¼ VD + VEC = 1/r (MS1 − MS2) and σ2w = ½ VA + ¾ VD + VEW = MS2)
The limitation of this otherwise simple to implement design is its inability to provide the needed information to estimate all the parameters required by the model. The progeny from the design comprise full‐sibs or unrelated individuals. There is no further relatedness among individuals in the progeny. The breeder must make unjustifiable assumptions in order to estimate the genetic and environmental variance.
Polycross
This design is for intermating a group of cultivars by natural crossing in an isolated block. It is most suited to species that are obligate cross‐pollinated (e.g. forage grasses and legumes, sugarcane, sweet potato), but especially those that can be vegetatively propagated. It provides an equal opportunity for each entry to be crossed with every other entry. It is critical that the entries be equally represented and randomly arranged in the crossing block. If 10 or less genotypes are involved, the Latin square design may be used. For a large number of entries, the completely randomized block design may be used. In both cases, about 20–30 replications are included in the crossing block. The ideal requirements are hard to meet in practice because of several problems, placing the system in jeopardy of deviating from random mating. If all the entries do not flower together, mating will not be random. To avoid this, the breeder may plant late flowering entries earlier.
Pollen may not be dispersed randomly, resulting in concentrations of common pollen in the crossing block. Half‐sibs are generated in a polycross because progeny from each entry has a common parent. The design is used in breeding to produce synthetic cultivars, recombining selected entries of families in recurrent selection breeding programs, or for evaluating the GCA of entries.
North carolina design I
Design I is a very popular multipurpose design for both theoretical and practical plant breeding applications (Figure 4.5). It is commonly used to estimate additive and dominance variances as well as for evaluation of full‐ and half‐sib recurrent selection. It requires sufficient seed for replicated evaluation trials, and hence is not of practical application in breeding species that are not capable of producing large amounts of seed. It is applicable to both self‐ and cross‐pollinated species that meet this criterion. As a nested design, each member of a group of parents used as males is mated to a different group of parents. NC design I is a hierarchical design with non‐common parents nested in common parents.
Figure 4.5 The North Carolina Design I. (a) This design is a nested arrangement of genotypes for crossing in which no male is involved in more than one cross. (b) A practical layout in the field.
The total variance is partitioned as follows:
| Source | df | MS | EMS |
| Males | n−1 | MS1 | σ2w + rσ2flm + rfσ2m |
| Females | n1(n2 – 1) | MS2 | σ2w + rσ2flm |
| Within progenies | n1n2(r − 1) | MS3 | σ2w |
This design is most widely used in animal studies. In plants, it has been extensively used in maize breeding for estimating genetic variances.
North carolina design II
In this design, each member of a group of parents used as males is mated to each member of another group of parents used as females. Design II is a factorial mating scheme similar to Design I (Figure 4.6). It is used to evaluate inbred lines for combining ability. The design is most adapted to plants that have multiple flowers so that each plant can be used repeatedly as both male and female. Blocking is used in this design to allow all the mating involving a single group of males to a single group of females to be kept intact as a unit. The design is essentially a 2‐way ANOVA in which the variation may be partitioned into difference between males and females and their interaction. The ANOVA is as follows:
Figure 4.6 North Carolina Design II. (a) This is a factorial design. (b) Paired rows may be used in the nursery for factorial mating of plants.
| Source | df | MS | EMS |
| Males | n1 – 1 | MS1 |
σ2w + rσ2mf |