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Principles of Plant Genetics and Breeding

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464 CHAPTER 26<br />

Disadvantages<br />

1 Genotypes that may perform well under marginal<br />

conditions are discarded during the early part <strong>of</strong> the<br />

selection process.<br />

2 The cultivar released is adapted to wider regions,<br />

rather than a specific region.<br />

3 Adoption <strong>of</strong> the new cultivar by farmers is not<br />

guaranteed.<br />

4 New cultivars are needed every so <strong>of</strong>ten.<br />

Key features <strong>of</strong> decentralized participatory breeding<br />

The key features <strong>of</strong> decentralized participatory plant<br />

breeding include the following:<br />

1 Breeders formulate breeding objectives <strong>and</strong> initiate<br />

the breeding process at the research station.<br />

2 Early segregating populations are evaluated in the<br />

target environments in which the products would<br />

be used for crop production.<br />

3 Farmers are involved in the breeding process, contributing<br />

their intimate knowledge <strong>of</strong> the local environment<br />

<strong>and</strong> the crop.<br />

4 Cultivars are released based upon specific adaptation<br />

to the growing environments.<br />

5 Focus is on adaptation over time (i.e., stability).<br />

Advantages<br />

1 Cultivars released are readily adopted by farmers <strong>and</strong><br />

are well adapted to the production environment.<br />

2 Variability that may have been discarded in the early<br />

stages <strong>of</strong> conventional breeding may be adapted to<br />

specific farmers’ fields.<br />

Decentralized selection, defined as selection in the target environment, has been used by the International Center for Agricultural<br />

Research in the Dry Areas (ICARDA) in its barley breeding program to avoid the risk <strong>of</strong> discarding useful lines because <strong>of</strong> their relatively<br />

poor performance at the research stations. Decentralized selection is a powerful methodology to fit crops to the physical<br />

environment. However, crop breeding based on decentralized selection can still miss its objectives if its products do not fit the<br />

farmers’ specific needs <strong>and</strong> uses.<br />

Participation <strong>of</strong> farmers in the initial stages <strong>of</strong> breeding, when the genetic variability created by the breeders is untapped, will<br />

fully exploit the potential gains from breeding for specific adaptation through decentralized selection by adding farmers’ perceptions<br />

<strong>of</strong> their own needs <strong>and</strong> farmers’ knowledge <strong>of</strong> the crop. Therefore, farmers’ participation has been the ultimate conceptual<br />

consequence <strong>of</strong> a positive interpretation <strong>of</strong> genotype × environment interactions, i.e., <strong>of</strong> breeding for specific adaptation.<br />

At ICARDA, the gradual change from centralized non-participatory to decentralized participatory barley breeding was implemented<br />

in Syria between 1997 <strong>and</strong> 2003 in three steps. The model <strong>and</strong> concepts developed during these developments were<br />

gradually applied in Tunisia, Morocco, Eritrea, Yemen, Jordan, <strong>and</strong> Egypt.<br />

Step 1: selection phase<br />

Industry highlights<br />

An example <strong>of</strong> participatory plant breeding: barley at ICARDA<br />

S. Ceccarelli <strong>and</strong> S. Gr<strong>and</strong>o<br />

International Center for Agricultural Research in the Dry Areas (ICARDA) PO Box 5466, Aleppo, Syria<br />

The first was an exploratory step with the main objectives <strong>of</strong> building human relationships, underst<strong>and</strong>ing farmers’ preferences,<br />

measuring farmers’ selection efficiency, developing scoring methodology, <strong>and</strong> enhancing farmers’ skills. The exploratory work<br />

included the selection <strong>of</strong> farmers <strong>and</strong> sites, <strong>and</strong> the establishment <strong>of</strong> one common experiment for all participants. The experiment,<br />

described by Ceccarelli et al. (2000, 2003), included 208 plots <strong>and</strong> was grown in two research stations <strong>and</strong> nine villages. All possible<br />

combinations <strong>of</strong> selection were conducted, namely centralized non-participatory (breeders on station), centralized participatory<br />

(farmers on station), decentralized non-participatory (breeders on farm), <strong>and</strong> decentralized participatory (farmers on farm).<br />

The results indicated that: (i) farmers can h<strong>and</strong>le large number <strong>of</strong> entries, can take a number <strong>of</strong> observations during the cropping<br />

season, <strong>and</strong> develop their own scoring methods; (ii) farmers select for specific adaptation; (ii) for some broad attributes, selection<br />

is mostly driven by environment; (iv) there is more diversity among farmers’ selections in their own fields than among farmers’<br />

selections on research stations, <strong>and</strong> among breeders’ selections, irrespective <strong>of</strong> where the selection was conducted; (v) the selection<br />

criteria used by the farmers are nearly the same as those used by the breeders; <strong>and</strong> (vi) in their own fields, farmers are slightly<br />

more efficient than the breeders in identifying the highest yielding entries, although the breeders are more efficient than the farmers<br />

in selecting in the research station located in a high rainfall area, but less efficient than the farmers in the research station

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