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Simultaneous selection for high yielding and stable crop genotypes

By: Kang, M.S.
Contributor(s): Pham, H.N [coaut.].
Material type: materialTypeLabelArticlePublisher: 1991ISSN: 1435-0645|1435-0645 (Revista en electrónico); 1435-0645.Subject(s): Environmental conditions | High yielding varieties | Performance | Selection | Stability | Statistical analysis | Trials | Yields AGROVOC | Genotypes AGROVOC | Plant breeding AGROVOC In: Agronomy Journal v. 83, no. 1, p. 161-165625015Summary: 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 (r2). We compared kang's (1988b) rank-summethod (Index 1; equal weights for yield and r2) 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 variancel with Huhn's (1979) S3 and S statistics, and Lin and Binns' (1988) P. All statistics wwere calculated for each of fives sets of data from international maize (Zea mays L.) yield trials. In Set 1, low r2s (indicative of stable performance) were generally associated with high yield (r. = 0.73), but in Set 2 low r2s appeared to be associated with low yield (r. = -0.46). Index 1 ranks were positively correlated with r2 ranks in Sets 2 to 5 as were S3 ranks> index 1 and S3 offered an opportunity to select for both stability based on r2 and yield. Indices 2, 3, 4 and 5, and P1 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 was slightly more conservative than S3, in that Index 1 selected a higher yielding genotype from the two lowest yielding genotypes than did S3.S6 was slightly more conservative than Index 1. Index 1 was intermediate between S3 and S6. In Set 2. Index and Index 2 were more conseravtive than S3, whereas S6 was more conservative than Index 2.P1 favored selection for yield only. We concluded taht Kang's rank-sum method (Index 1 here) and Huhn's S3 and S6 statistics would be useful for simultaneously selecting for yield and yield stability.
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Article CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

Reprints Collection 1 Available 625015
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Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0002-1962

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 (r2). We compared kang's (1988b) rank-summethod (Index 1; equal weights for yield and r2) 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 variancel with Huhn's (1979) S3 and S statistics, and Lin and Binns' (1988) P. All statistics wwere calculated for each of fives sets of data from international maize (Zea mays L.) yield trials. In Set 1, low r2s (indicative of stable performance) were generally associated with high yield (r. = 0.73), but in Set 2 low r2s appeared to be associated with low yield (r. = -0.46). Index 1 ranks were positively correlated with r2 ranks in Sets 2 to 5 as were S3 ranks> index 1 and S3 offered an opportunity to select for both stability based on r2 and yield. Indices 2, 3, 4 and 5, and P1 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 was slightly more conservative than S3, in that Index 1 selected a higher yielding genotype from the two lowest yielding genotypes than did S3.S6 was slightly more conservative than Index 1. Index 1 was intermediate between S3 and S6. In Set 2. Index and Index 2 were more conseravtive than S3, whereas S6 was more conservative than Index 2.P1 favored selection for yield only. We concluded taht Kang's rank-sum method (Index 1 here) and Huhn's S3 and S6 statistics would be useful for simultaneously selecting for yield and yield stability.

English

MP|MIC 11947-R|1

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