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Volume 83, Issue 1
Crop

Simultaneous Selection for High Yielding and Stable Crop Genotypes

M. S. Kang

Corresponding Author

E-mail address: n/a@dne.dne

Dep. of Agronomy, Louisiana Agric. Exp. Stn., Louisiana State Univ. Agric. Ctr., Baton Rouge, LA, 70803‐2110

*Corresponding author.Search for more papers by this author
H. N. Pham

Int. Maize Testing Program, CIMMYT, Mexico, D.F., 06600 Mexico

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First published: 01 January 1991
Citations: 76

Approved for publication by the Director of the Louisiana Agric. Exp. Stn. as manuscript no. 89‐09‐3422.

Abstract

Integration of stability of performance with yield is essential in yield trials. Methods that select for high yield and stability have been developed, but have not been compared for their usefulness. Our objective was to compare these methods and to study their relationship to yield and the stability‐variance statistic (σ2i). We compared Kang's (1988b) rank‐sum method (Index 1; equal weights for yield and σ2i) and four additional rank‐sum indices [two (Index 2), three (Index 3), four (Index 4), and five (Index 5) times more weight for yield than for stability variance] with Hühn's (1979) S3i and S6i statistics, and Lin and Binns' (1988) Pi. All statistics were calculated for each of five sets of data from international maize (Zea mays L.) yield trials. In Set 1, low σ2i's (indicative of stable performance) were generally associated with high yield (r3 = 0.73), but in Set 2 low σ2i's appeared to be associated with low yield (r3 = −0.46). Index 1 ranks were positively correlated with σ2i ranks in Sets 2 to 5 as were S3i ranks. Index 1 and S3i offered an opportunity to select for both stability based on σ2i and yield. Indices 2, 3, 4, and 5, and Pi favored selection primarily for yield. It was assumed that the top 50% genotypes would be selected, in Sets 1 and 2, on the basis of yield rank alone or individual statistics. In Set 1, Index 1 was slightly more conservative than S3i, in that Index 1 selected a higher yielding genotype from the two lowest yielding genotypes than did S3i. S6i was slightly more conservative than Index 1. Index 1 was intermediate between S3i and S6i. In Set 2, Index 1 and Index 2 were more conservative than σ3i, whereas σ6i was more conservative than Index 1, but less conservative than Index 2. Pi favored selection for yield only. We concluded that Kang's rank‐sum method (Index 1 here) and Hühn's S3i and S6i statistics would be useful for simultaneously selecting for yield and yield stability.

Number of times cited according to CrossRef: 76

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