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RA 00110.pdf - OAR@ICRISAT

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S h o r t - t e r m g o a l s<br />

I n t e r m e d i a t e range g o a l s<br />

Long-range g o a l s<br />

Time<br />

Figure 1. Three populations and their expected response patterns.<br />

genetic variation is increased. In practice compromise<br />

is necessary. The Nebraska hybrids are very different<br />

in breadth of adaptation: some must be grown<br />

under very specific conditions or in only certain<br />

areas, while others may be very broadly adapted (for<br />

instance, the maize hybrid B73 x Mo17 has been<br />

grown all over the world). Admittedly not much is<br />

known about this problem because it is apparently<br />

complex. It seems prudent that a breeder restrict the<br />

target set of environments to a logical subset among<br />

which G * E interaction is not too large. For maize,<br />

Nebraska is divided into three zones that form a<br />

logical grouping (Figure 2). Western Nebraska (Zones<br />

I and II) requires earlier maize varieties than the<br />

eastern portion, so population improvement is done<br />

within these zones.<br />

not a major problem except for the difficulty of<br />

handling missing plots. The two analyses of variance<br />

with and without replication at each location are<br />

shown in Table 3. Note that the appropriate test of<br />

significance for entries is present even without replication<br />

at each location, assuming that locations are<br />

random. Thus a broader array of macroenviron-<br />

Zone I<br />

Zone I I<br />

Sampling Environments<br />

Zone<br />

I I I<br />

To sample environments within a subset, families<br />

may be tested with only one replication in each<br />

location when seed quantities are restricted. This is<br />

Figure 2. Corn-growing zones in the state of Nebraska<br />

in the central part of U S A .<br />

110

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