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RISS 인기검색어
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- 저자 : T. S. Kwark(郭泰淳) (검색결과 1 건)
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H. C. Choi(崔海椿),G. S. Chung(鄭根植),S. Y. Cho(趙守衍),B. S. Choi(崔富述),C. Y. Kim(金七龍),T. S. Kwark(郭泰淳),D. C. Lee(李東昌),N. K. Park(朴南圭) 한국육종학회 1984 한국육종학회지 Vol.16 No.2
To evaluate stability for grain yield of rice breeding lines and to identify the environmental status of some rice breeding sites, twenty one breeding lines (japonica; 13, indica; 8) and four check cultivars were grown at seven locations(Suwon, Cholwon, Chinbu, Yonkok, Unbong, Yongdok, Hwaso) in 1983 and the data for grain yield and other agronomic characters was analyzed by the method of stability analyses3,4) and principal component analysis.8) The results are summarized as follows; 1. Yongdok showed similar growth duration with Suwon, but other sites showed about 5-14 days longer duration than Suwon in the order of Hwaso < Unbong < Cholwon < Chin bu < Yonkok. Un bong pointed out the highest mean grain yield, 698 kg/10a and it was followed by the order of Suwon > Chol won> Hwaso > Yongdok > Chinbu > Yonkok. Yonkok might be a desirable site for selecting tolerant materials to so-called delaying-type cold, since it showed the most delayed heading time, the widest intervarietal variation of heading, the lowest level and smallest intervarietal variation in grain yield. 2. Among seven locations Cholwon, Unbong and Hwaso revealed similar ecological reaction by principal component analysis using mean value and standard deviation of some agronomic characters, but Unbong, Hwaso and Yongdok were similarly characterized by meteorological factors during the rice growing period. Yonkok and Chinbu showed nearly similar ecological response but were diff erently characterized by meteorological factors. Seven locations were classified largely into two regions by clustering based on correlation coefficients between genotype×environment (G×E) interaction term for grain yield at each location. 3. The yield stability of rice breeding lines can be evaluated by any parameters such as regression coefficients, residual mean squares deviated from the regression3), and 1st principal component extracted from G × E interaction term 8). Most indica lines revealed higher yield potential but lower stability than japonica strains. 4. The 1st principal component extracted from G×E interaction term for grain yield indicated close correlationship with the regression coefficients, deviations from the regression, average grain yield and coefficients of variation for yield. Also the regression coefficients showed significant positive correlation with deviations from the regression and average grain yield. 5. Contributions of the components to grain yield were largely different between locations; that is, number of panicles per hill acted decisive role on grain harvest at Yonkok and Yongkok, while number of spikelets per panicle mainly contributed to yield at Suwon, Unbong and Hwaso. 6. Average grain yield at each location were closely correlated with mean air temperature and average daily sunshine hours during the grain filling period.
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