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a International Maize and Wheat Improvement Center (CIMMYT), Apdo. Aéreo 67-13, Cali, Colombia
b CIMMYT, Apdo. Postal 6-641, 06600 Mexico D.F., Mexico
* Corresponding author (s.pandey{at}cgiar.org).
Breeders need more information on selecting testers to identify lines for formation of synthetics and need more user-friendly methods to study general combining ability (GCA) and specific combining ability (SCA) of genotypes. Forty-three lines were crossed to two narrow-based (S3 line and S3 x S3 hybrid) and two broad-based testers, which were open-pollinated varieties (OPVs). Topcrosses (line x tester, L x T) were evaluated in eight acid soil environments. The additive main effect and multiplicative interaction (AMMI) and the site regression (SREG) models were used to study the GCA of the testers and lines and the SCA of the L x T interaction. The SREG biplot contains the effect of the lines plus the L x T interaction and displays both GCA and SCA, whereas the AMMI biplot contains the effect of the L x T interaction and displays only the SCA. One synthetic was developed by recombining six lines identified as superior by each tester. The four synthetics were evaluated in 12 acid and nine nonacid soil environments. The synthetic developed with the S3 line as tester yielded the highest and the one developed with an OPV as tester yielded the lowest. The AMMI and SREG models seem to provide an effective tool to visualize and study GCA and SCA of genotypes.
Abbreviations: AMMI, additive main effect and multiplicative interaction AT, average tester GCA, general combining ability OPV, open-pollinated variety SCA, specific combining ability SREG, site regression
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