벼 재배 품종과 환경의 상호작용
The Rural Development Administration (RDA) of Korea now operates a system called Rice Variety Selection Tests (RVST), which are now being implemented in eight Agricultural Research and Extension Services located in eight province each. RVST`s objective is to provide accurate yield estimates and to s...
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Veröffentlicht in: | Korean journal of crop science 2001, Vol.46 (6), p.453-458 |
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Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | kor |
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Zusammenfassung: | The Rural Development Administration (RDA) of Korea now operates a system called Rice Variety Selection Tests (RVST), which are now being implemented in eight Agricultural Research and Extension Services located in eight province each. RVST`s objective is to provide accurate yield estimates and to select well-adapted varieties to each province. Systematic evaluation of entries included in RVST is a highly important task to select the best-adapted varieties to specific location and to observe the performance of entries across a wide range of test sites within a region. The rice yield data in RVST for ordinary transplanting in Kangwon province during 1997-2000 were analyzed. The experiments were carried out in three replications of a random complete block design with eleven entries across five locations. Additive Main effects and Multiplicative Interaction (AMMI) model was employed to examine the interaction between genotype and environment (G × E) in the biplot form. It was found that genotype variability was as high as 66%, followed by G × E interaction variability, 21 %, and variability by environment, 13 %. G × E interaction was partitioned into two significant (P$lt;0.05) principal components. Pattern analysis was used for interpretation on G × E interaction and adaptibility. Major determinants among the meteorological factors on G × E matrix were canopy minimum temperature, minimum relative humidity, sunshine hours, precipitation and mean cloud amount. Odaebyeo, Obongbyeo and Jinbubyeo were relatively stable varieties in all the regions. Furthermore, the most adapted varieties in each region, in terms of productivity, were evaluated. |
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ISSN: | 0252-9777 2287-8432 |