A shifted multiplicative model fusion method for grouping environments without cultivar rank change
Material type:
ArticleLanguage: En Publication details: 1995ISSN: - 1435-0653 (Revista en electrónico)
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Article | CIMMYT Knowledge Center: John Woolston Library | Look under journal title (Browse shelf(Opens below)) | Available |
Browsing CIMMYT Knowledge Center: John Woolston Library shelves Close shelf browser (Hides shelf browser)
| Look under journal title Competition between nitrogen accumulation and grain growth for carbohydrates during grain filling of wheat | Look under journal title CIMMYT wheat improvement in-service training course 1987 | Look under journal title Russian wheat aphid research | Look under journal title A shifted multiplicative model fusion method for grouping environments without cultivar rank change | Look under journal title Soluble phenolic content as an indicator of sorghum grain resistance Sitophilus oryzae (Coleoptera: Curculionidae) | Look under journal title Registration of acid soil tolerant maize populations SA-3 and SA-8 | Look under journal title Combining ability of inbred lines derived from CIMMYT maize (Zea mays L.) germplasm |
Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0011-183X
Genotype x environment interactions of most concern to plant breeders involve cultivar rank change across environments, i.e., cross-over interaction (COI). When COIs are present, cluster strategies can be used to group environments without significant changes in cultivar ranks. Several methods for classifying environments without COI have recently been proposed. In this study, the shifted multiplicative model (SHMM) fusion method based on a building block principle is used for grouping environments which rank cultivars similarly. The SHMM fusion selects the best action by computing for each new cluster formed a new set of distance measures with the other clusters and with the unclustered individuals. Experimental data were collected on 55 spring wheat cultivars evaluated under 5 irrigation levels in each of 2 CIMMYT trials (10 environments). Groups of environments obtained with SHMM fusion were compared with those obtained using cluster analysis based on Euclidean distances computed from unstandardized and standardized data. The SHMM fusion formed 4 final clusters of environments. The final clusters grouped environments with similar irrigation levels. Conventional cluster analysis based on Euclidean distances produced final clusters with much larger percentage of COIs than SHMM fusion. Thus, the data indicated that SHMM fusion is a useful strategy for classifying environments without cultivar rank change
Conservation Agriculture Program|Genetic Resources Program
English
BIO|Crop Science Society of America (CSSA)|WP|R95ANALY|1
CCJL01|INT1421|CSAY01
CIMMYT Staff Publications Collection
Serials Collection