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Principles of Plant Genetics and Breeding

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BREEDING POTATO 541<br />

Table 1 The Scottish Crop Research Institute (SCRI) strategy for breeding finished cultivars.<br />

Year Strategy<br />

0 Decide objectives <strong>and</strong> evaluate potential parents<br />

Midparent values used to predict mean performance <strong>of</strong> crosses for quantitative traits + other genetic information<br />

GLASSHOUSE<br />

1 Choose parents <strong>and</strong> make 200 crosses<br />

2 Seedling progeny tests on 200 progenies × 2 replicates × 25 seedlings (late blight, potato cyst nematodes, visual<br />

assessment <strong>of</strong> tubers)<br />

Select best 40 progenies (after first cycle will also have midparent values for fry color <strong>and</strong> other traits from year 5 <strong>of</strong><br />

previous cycle)<br />

SEED SITE<br />

3 Tuber progeny tests on 40 progenies × 2 replicates as 2,000 spaced plants (visual assessment <strong>of</strong> tubers <strong>and</strong> fry color).<br />

Select 500 spaced plants at harvest (four tubers <strong>of</strong> each plant)<br />

Sow more seed <strong>of</strong> 10 best progenies in the glasshouse to provide a further 10 × 250 = 2,500 (four tubers <strong>of</strong> each)<br />

clones for year 4<br />

Select clones for use as parents in next cycle <strong>of</strong> crosses at r<strong>and</strong>om from those (500) advancing to year 4<br />

4 3,000 unreplicated four-plant plots (including parents <strong>of</strong> next cycle <strong>of</strong> crosses)<br />

Assessment for yield <strong>and</strong> quality <strong>and</strong> special disease tests<br />

Seed site Clones Ware site<br />

(number <strong>of</strong> plants) (number) (number <strong>of</strong> plots <strong>and</strong> plants per plot)<br />

5 6 1,000 2 × 5; include parents used in crosses<br />

6 20 360 2 × 10<br />

7 100 120 Two harvests or sites <strong>of</strong> 2 × 10<br />

8 300 40 Ware trials at a number <strong>of</strong> sites<br />

9 700 20 Ware trials at a number <strong>of</strong> sites<br />

10 2,000 2 Official trials<br />

11 2,000 1 Official trials<br />

Multiplication <strong>and</strong> commercialization from virus-free stock<br />

Intermediate <strong>and</strong> later generations<br />

The SCRI can again be considered typical in being able to h<strong>and</strong>le 1,000 clones in the first year <strong>of</strong> replicated yield trials at a ware<br />

site. However, the relatively slow rate <strong>of</strong> natural vegetative reproduction, together with the complicated logistics <strong>of</strong> accurately<br />

assessing 1,000 or more clones for a very large number <strong>of</strong> traits, meant that another 5 years elapsed before one or a few potential<br />

cultivars could be confidently entered into <strong>of</strong>ficial statutory trials. During this period, decreasing numbers <strong>of</strong> selected clones were<br />

grown in increasingly sophisticated trials over as wide a geographic range as economics permitted <strong>and</strong> breeding objectives<br />

dem<strong>and</strong>ed. During these intermediate <strong>and</strong> final stages <strong>of</strong> selection, the production <strong>of</strong> seed tubers was separated from the trials<br />

which were grown under ware conditions, designed as far as possible to approximate to those <strong>of</strong> good commercial practice. In<br />

addition to yield <strong>and</strong> agronomic performance, clones undergoing selection were assessed for their cooking <strong>and</strong> processing characteristics<br />

<strong>and</strong> tested for their resistances to numerous pests <strong>and</strong> diseases. The selection criteria <strong>and</strong> testing procedures were<br />

largely governed by practical considerations <strong>and</strong> experience <strong>of</strong> the reliability <strong>of</strong> the various tests used, rather than by genetic<br />

knowledge <strong>of</strong>, for example, heritabilities or genetic correlations between traits. It would therefore be worthwhile trying to<br />

develop a more robust decision-making process based on multitrait, multistage selection theory <strong>and</strong> estimated genetic parameters,<br />

or at least to assess the extent to which current practice is suboptimal (Bradshaw & Mackay 1994).<br />

Genetic knowledge <strong>and</strong> molecular marker-assisted selection<br />

As knowledge increases about the number <strong>and</strong> chromosomal locations <strong>of</strong> genes affecting economically important traits, breeders<br />

should be able to design better breeding programs. As well as selecting parents that complement one another genotypically, they<br />

will be able to determine the seedling population size required for certainty <strong>of</strong> finding the desired genotype, <strong>and</strong>, more realistically,

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