• Korean Journal of Agricultural Science
• /
• v.37 no.2
• /
• pp.177-189
• /
• 2010

These studies were conducted to analysis for weather reaction on the growth and yield component according to meterological elements used Vector Autoregressive Regression(VAR) Model at Daejeon, Hongseong, Geumsan, Nonsan, and Yesan to core of center to Chungnam area in Rice. Reaction of cultivars according to change of meterological elements for growth and yield component effected on heading time in Gancheokbyeo and Mananbyeo, grain number of a spike in Gancheokbyeo, ratio of ripeness in Gancheokbyeo and Geumobyeo 1, amount of milled rice in Geurubyeo and Ansanbyeo, and 1,000 grains weight in Gancheokbyeo, Dasanbyeo, and Hwajinbyeo. An effect on the growth and yield components of meterological elements were influenced by heading date, 1,000 grain weight and ratio of repening as sunshine hours. The cultivars in sensitive reaction for change of weather condition were classified to 14 varieties including Gerubyeo et al., insensitive cultivars were classified to 66 varieties including Gyehwabyeo et. al.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.29 no.3
• /
• pp.218-226
• /
• 1984

This study was conducted to establish fundamental of cultivation system in the southern warm region of Korea by investigation of variation of yield component and yield under the different nitrogen fertilizing levels. And that levels in this experiment were 10, 15, 20 and 25 Kg/10a. Optimum fertilizing level of nitrogen was 20 kg/10a in Seokwang variety and 25 kg/ 10a in Dongjin variety. On the optimum fertilizing level (Seokwang; 20 kg/10a, Dongjin; 15 kg/10a), the correlation coefficient between No. of panicles per unit area and the rate of ripened grains were showed negative correlation (Seokwang; r =-0.6023$\^$*/, Dongjin; r=-0.858l$\^$**/). In the primary, secondary branches and spikelets, the degeneration ratio was increased significantly under the level of N=25 kg/10a in Seokwang, N$\geq$20 kg/10a in Dongjin. In Dongjin, the rate of ripened grains was decreased with increase in nitrogen fertilizing levels and that caused to decrease the yield.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2017.06a
• /
• pp.238-238
• /
• 2017

Salt stress is one of the deteriorating abiotic stresses due to the climate change, which causes over-accumulation of $Na^+$ and $Cl^-$ ions in plants and inhibits the growth and yield of rice especially in coastal Southeastern Asia. The yield components of rice plant (panicle number, spikelet number per panicle, 1000-grain weight, % of ripened grains) that are majorly affected by salt stress vary with growth stages at which the plant is subjected to the stress. In addition, the salt sensitivity of each yield component differs among rice varieties even when the salt-affected growth stage was same, which indicates that the physiological mechanism to maintain each yield component is different from each other. Therefore, we hypothesized that rice plant has different genes/QTLs that contribute to the maintenance of each yield component. Using a Japanese leading rice cultivar, Koshihikari, and salt-tolerant Nona bokra's chromosome segment substitution lines (CSSLs) with the genetic background of Koshihikari (44 lines in total) (Takai et al. 2007), we screened higher yielding CSSLs under salinity in comparison to Koshihikari and identified the yield components that were improved by the introgression of chromosome segment(s) of Nona bokra. The experiment was conducted in a salinized paddy field. One-month-old seedlings were transplanted into a paddy field without salinity. These were allowed to establish for one month, and then the field was salinized by introducing saline water to maintain the surface water at 0.4% salinity until harvest. The experiments were done twice in 2015 and 2016. Although all the CSSLs and Koshihikari decreased their yield under salinity, some CSSLs showed relatively higher yield compared with Koshihikari. In Koshihikari, all the yield components except panicle number were decreased by salinity and % of ripened grains was mostly reduced, followed by spikelet number per panicle and 1000-grain weight. When compared with Koshihikari, keeping a higher % of ripened grains under salinity attributed to the significantly greater yield in one CSSL. This indicated that the % of ripened grains is the most sensitive to salt stress among the yield components of Koshihikari and that the Nona bokra chromosome segments that maintained it contributed to increased yield under salt stress. In addition, growth analyses showed that maintaining relative growth rate in the late grain filling stage led to the increased yield under salt stress but not in earlier stages.

• Proceedings of the Plant Resources Society of Korea Conference
• /
• 2001.04a
• /
• pp.51-53
• /
• 2001

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.31 no.2
• /
• pp.173-178
• /
• 1986

Principal component analysis was used for ana1zing growth data to know the relationship between growth characteristics and yield as well as its components. The first principal component accounted for average time of the specific leaf area sampled, leaf area index, and dry weight, and the second component for the position of the changing point of growth characteristics. The component scores were more affected by the nitrogen level than variety. Yield were affected by fertility ratio and number of spikelets per hill which have close relation with the component score of leaf area index and dry weight per hill.

• Research in Plant Disease
• /
• v.19 no.3
• /
• pp.196-200
• /
• 2013

This study was carried out to investigate yield loss due to soybean leaf spot disease caused by Cercospora sojina Hara and to determine the economic threshold level. The investigations revealed highly significant correlations between disease severity (diseased leaf area) and yield components (pod number per plant, total grain number per plant, total grain weight per plant, percent of ripened grain, weight of hundred seed, and yield). The correlation coefficients between leaf spot severity and each component were -0.90, -0.90, -0.92, -0.99, -0.90 and -0.94, respectively. The yield was inversely proportional to the diseased leaf area increased. The regression equation, yield prediction model, between disease severity (x) and yield (y) was obtained as y = -3.7213x + 354.99 ($R^2$ = 0.9047). Based on the yield prediction model, economic injury level and economic threshold level could be set as 3.3% and 2.6% of diseased leaf area of soybean.

• Food Science and Preservation
• /
• v.9 no.4
• /
• pp.396-399
• /
• 2002

An attempt was made in this study to investigate the optimum extracting time from meat with bone of goat and the nutritional component of its extract. for the trials, the mixtures of meat with bone and water were adjusted to the ratios of five to four by weight and extracted for 6, 9 and 12 hours at 120$\^{C}$ under autoclave. Judging from the content of mineral and amino acid, nonenzymatic browning and yield, the optimum extracting time was 9 hours. The major components of mineral were composed of 47.7mg％ potassium, 12.7mg% calcium, 150.0mg% sodium, 105.3mg% phosphorus and 0.5mg% iron, and of amino acids composed of 1,308.0mg% glutamic acid, 1,464.2mg% glycine, 750.2mg% alanine and 828.lmg% proline in extract. The yield of extract was 32.1 percentage by dry basis.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.29 no.3
• /
• pp.209-217
• /
• 1984

This study was conducted to establish fundamental of rice cultivation system in the southern warm region of Korea by investigation of variation of yield component factor and yield under the different transplanting dates which was at interval of 15 days, from May 20 to July 5. In the variation of leaf age, the leaf of July 5 transplanting was less 1.1 leaves than that of May 20 transplanting in Seokwang. However in Dongjin, the leaf of May 20 transplanting was more 1.7 leaves than that of July 5. According to transplanting date delay, the shorten ratio of flag leaf was showed an increasing tendency. Period from transplanting to heading under the different transplanting in Seokwang, required about 75 days in May 20 transplanting and 68 days in June 5, 67 days in June 20, but 71 days in July 5, it was a cause of decrease in grain yield, because of increase in the period from transplanting to heading date. The maximum yield under the different transplanting gathered on May 20 transplanting in Seokwang variety, and on June 20 transplanting in Dongjin variety, and then, on the accumulated temperature 1017$\pm$24$^{\circ}C$ in Seokwang, 952$\pm$15$^{\circ}C$ in Dongjin, from 10 days before heading to 30 days after heading, it was appeared the high yield. It was showed linearly negative correlation between the No. of panicles per unit area and transplanting date (Seokwang; r=-0.6768$^{**}$, Dongjin: r=-0.5182$^{**}$). There were more differentiation of spikelets per panicle in the late transplanting in Seokwang, however in Dongjin, it was decreased in differentiation of spikelets per panicle in the early and the late transplanting.ing.

• Bulletin of the Korean Chemical Society
• /
• v.16 no.9
• /
• pp.859-863
• /
• 1995

The prostaglandin analogue 12-epi-PGF2α (2) has been synthesized from optically active cis-4-t-butyldimethylsilyloxy-2-cyclopenten-1-ol (4b) in 4 steps in an overall yield of 21%. An extremely efficient Pd(Ⅱ)-mediated, three-component coupling reaction is employed to obtain the key intermediate 9.

• Communications for Statistical Applications and Methods
• /
• v.22 no.2
• /
• pp.173-180
• /
• 2015

We propose a selection procedure of principal components in principal component regression. Our method selects principal components using variable selection procedures instead of a small subset of major principal components in principal component regression. Our procedure consists of two steps to improve estimation and prediction. First, we reduce the number of principal components using the conventional principal component regression to yield the set of candidate principal components and then select principal components among the candidate set using sparse regression techniques. The performance of our proposals is demonstrated numerically and compared with the typical dimension reduction approaches (including principal component regression and partial least square regression) using synthetic and real datasets.