• 제목/요약/키워드: sprout-related traits

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Genetic Variation in Sprout-related Traits and Microsatellite DNA Loci of Soybean

  • Lee, Suk-Ha;Kyujung Van;Kim, Moon-Young;Gwag, Jae-Gyun;Bae, Kyung-Geun;Oh, Young-Jin;Kim, Kyong-Ho;Park, Ho-Ki
    • 한국작물학회지
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    • 제48권5호
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    • pp.413-418
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    • 2003
  • Genetic diversity and soybean sprout-related traits were evaluated in a total of 72 soybean accessions (60 Glycine max, 7 Glycine soja, and 5 Glycine gracilis). 100-seed weight (SW) was greatly varied and ranged from 3.2g to 32.3g in 72 soybean accessions. Positive correlation was observed between GR and hypocotyl length (HL), whereas negative correlation was observed between SW and hypocotyl diameter (HD). Re-evaluation by discarding two soybean genotypes characterized with low GR indicated that much higher correlation of sprout yield (SY) with HD and SW. Based on the principal component analysis (PCA) for sprout-related traits, 57 accessions were classified. Soybean genotypes with better traits for sprout, such as small size of seeds and high SY, were characterized with high PCA 1 and PCA 2 values. The seed size in second is small but showed low GR and SY, whereas the third has large seed, high GR and more than 400% SY. In genetic similarity analysis using 60 SSR marker genotyping, 72 accessions were classified into three major and several minor groups. Nine of twelve accessions that were identified as the representatives of soybean for sprout based on PCA were in a group by the SSR marker analysis, indicating the SSR marker selection of parental genotypes for soybean sprout improvement program.

Variation and stability of agricultural characteristics in soybean landraces and cultivars

  • Seo, Min Jung;Park, Myoung Ryou;Yun, Hong Tae;Park, Chang Hwan
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.221-221
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    • 2017
  • This experiment was performed to analyze variation of growth traits of soybean to determine the information of less sensitive traits under different environmental conditions. Sowing was carried out on June 2 each year and the experimental plot was laid out in three replicates by randomized complete block design with thirty soybean varieties which consisted of 19 cultivars for beancurd and soypaste, 8 cultivars for soy-sprout including 1 landrace, and 3 cultivars for cooking with rice including 1 landrace during the period 2014-2015. The weather conditions during the experimental period were quite different with extremely low precipitation and longer sunshine duration in 2015 than 2014. The variation of characteristics related to growth period such as days of growth, days of maturity, days of flowering and the 100-seed weight was less in spite of different environmental conditions. While the variation of the number of pods per plant was high. Considering growth and seed characteristics like the number of pods per plant, the number of seeds per pod and 100-seed weight which are linked directly to the yield, cultivars such as Shingi, Daewonkong, Danbaegkong, and Daepung for beancurd and soypaste, Pungwon, Haepum and Shingang for soy-sprout and Seoritae for cooking with rice were more stable and could be expected to have high yield in Suwon, the south-central part of South Korea. These results could be useful for the selection of breeding resources to develop cultivars with high stability under changeable weather condition.

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