To elucidate the influence of nitrogen application rate on cool tolerance at the booting stage and respiratory activity of anther at the heading stage in the rice plants, the relationships among nitrogen content in the leaf blade and leaf sheath+culm at young microspore stage, cool tolerance at the booting stage and respiratory activity of anther at the heading stage were investigated for 3 rice cultivars-Yeomyungbyeo, Unbongbyeo and Milyang 23. Nitrogen content in the leaf blade at the young microspore stage was negatively correlated with respiratory rate of anther at the heading stage and fertility index, respectively. Respiratory activity of anther at the heading stage with 10ppm nitrogen application was higher than that of anther with 100ppm nitrogen application. On the Arrhenius plot of respiratory activity of anther at the heading stage, Yeomyungbyeo and Unbongbyeo showed a break at 18$^{\circ}C$ and 18.5$^{\circ}C$, respectively, with 100ppm nitrogen application, but did not show a break in respiratory activity of anther with 10ppm nitrogen application, while Milyang 23 showed a break at 20.5$^{\circ}C$ and 21$^{\circ}C$ with 10ppm and 100ppm nitrogen application, respectively. The highest correlation coefficient between fertility and respiratory rate of anther at the heading stage was shown at 20$^{\circ}C$ in the temperature range of 15$^{\circ}C$-30$^{\circ}C$.
Greenhouse industry has been growing in many countries due to both the advantage of stable year-round crop production and increased demand for fresh vegetables. In greenhouse cultivation, $CO_2$ concentration plays an essential role in the photosynthesis process of crops. Continuous and accurate monitoring of $CO_2$ level in the greenhouse would improve profitability and reduce environmental impact, through optimum control of greenhouse $CO_2$ enrichment and efficient crop production, as compared with the conventional management practices without monitoring and control of $CO_2$ level. In this study, a mathematical model was developed to estimate the $CO_2$ emission from soil as affected by environmental factors in greenhouses. Among various model types evaluated, a linear regression model provided the best coefficient of determination. Selected predictor variables were solar radiation and relative humidity and exponential transformation of both. As a response variable in the model, the difference between $CO_2$ concentrations at the soil surface and 5-cm depth showed are latively strong relationship with the predictor variables. Segmented regression analysis showed that better models were obtained when the entire daily dataset was divided into segments of shorter time ranges, and best models were obtained for segmented data where more variability in solar radiation and humidity were present (i.e., after sun-rise, before sun-set) than other segments. To consider time delay in the response of $CO_2$ concentration, concept of time lag was implemented in the regression analysis. As a result, there was an improvement in the performance of the models as the coefficients of determination were 0.93 and 0.87 with segmented time frames for sun-rise and sun-set periods, respectively. Validation tests of the models to predict $CO_2$ emission from soil showed that the developed empirical model would be applicable to real-time monitoring and diagnosis of significant factors for $CO_2$ enrichment in a soil-based greenhouse.
This study was carried out in the central part of Korea in 1972 to investigate optimum grain number per square meter and variation of the yield and its components in the direct sowing culture on irrigated paddy field. The results could be summarized as follows; 1. Number of maximum tillerings was directly increased with increase of grain number from 120 to 280 per square meter and it was gradually decreased with increase of number sowing grain. So number of maximum tillerings showed at the plot of 280 grain per square meter. Also it was showed remarkable competition at the plot more than 280 grain per square meter. 2. Percentage of effective tiller was decreased with increase of number of sowing grain from 120 to 280 per square meter and after it was gradually decreased with increase of number of sowing grain. 3. It was not remarkable competition in plot less than 1, 000 tillering per square meter on the number of maximum tillerings. 4. It was remarkable positive correlation between the number of panicle and the number of sowing grain, but it was tendency to negative correlation between the number of panicle and the number of spiklets per panicle, and between the number of panicle and the ripening ratio. 5. Correlation coefficient between the yield and the number of spiklet per square meter of land area was 0.929, r=0.695 in the yield and the number of panicle, r=0.796 in the number of panicles and the number of spiklets per square meter Also in rank correlation, it was showed most highly positive correlation(r=0.954) between the yield and the number of panicles, so number of panicles was most largely dominated on yield among the yield components in direct sowing culture on irrigated paddy field. 6. It was producted highest yield in the plot of 280 grain sowing per square meter.
Rice quality is considered to have two general meanings; 1) milling, cooking, and processing quality, which refer to suitability of the grain for a particular end-use; and 2) physical quality, which means cleanliness, soundness, and freedom from foreign materials. Grain type is associated with specific milling, cooking, and processing characteristics. Thus, this experiment was conducted to classify the grain type categories and marketing grades for Korean leading rice varieties. Length: width ratio of brown rice kernel ranged from 1.57 to 2.25 and most of varieties belonged to short grain except Tongil type rice varieties. Mean of length: width ratio of brown rice kernel was 1.77 and coefficient of variance was 4.79% in short grain type varieties. Grain shape could be further classified into 5 types by length:width ratio of brown rice kernel; 1 type(less than 1.75), 2 type(1.76∼1.80), 3 type(1.81∼1.90), 4 type(1.91∼2.00), and 5 type (greater than 2.00). For 1 and 2 type of varieties, woven wire sieve having 1.7mm openings showed better whole-kernel yields for special marketing grade, and sieve having 2.0mm openings for 3 and 4 type of varieties. Grain type which classified into 5 categories was not associated with physicochemical and cooking characteristics of rice grain, but sensory evaluation of cooked rice showed better score for 1 type varieties in terms of appearance, gloss, flavor, texture, stickiness, and taste.
The genetic variation and intraspecific relationships between 10 individuals of seven cultivars and one Ulleungdo native of Wasabia japonica were investigated using RAPD (Randomly Amplified Polymorphic DNA) analysis. The 21 primers out of 50 random primers were amplified for all tested plants. The 68 (47.2%) among 144 bands derived from 21 primers showed polymorphism, and 3.2 bands per primer were observed. Number of bands per primer was ranged from 2 to 13, and average numbers were 6.8. The phenograms for 11 analyzed individuals by RAPD markers were not matched well with those of the result by morphological characters since they were clustered monophyletic at the similarity coefficient value ranged from 0.81 to 0.96. The Ulleungdo native individual was clustered sister to Daruma, Simanesairal, Sawa, and Hujidaruma cultivars. The RAPD markers were not useful to evaluate the intraspecific variations in Wasabia japonica cultivars, therefore need to more specific molecular phylogenetic characters such as AFLP technology and gene sequence of nuclear and chloroplast DNA.
Park, Gyu-Hwan;Jung, Do-Chul;Kim, Jae-Cheol;Jeon, Chi-Hyeong;Kim, Kyung-Min
Korean Journal of Medicinal Crop Science
/
v.12
no.1
/
pp.17-23
/
2004
This study was carried out to obtain the basic information on mating parents and selection for high yielding safflower breeding. Thirty nine world safflower lines, which had collected from 13 countries of origjn, were evaluated for major agronomic characters, correlation and path-coefficients. The results obtained were summarized as follows. Days to flowers ranged from 83 days to 100 days. Days to flower of most foreign lines were later than that of domestic lines. Plant height ranged from 75 cm to 162 cm. The plant height and stem diameter of most foreign lines were higher than those of domestic lines. The leaf number and size of domestic lines were much more than those of foreign lines. The total branch numbers of foreign lines were more than domestic lines. Particularly, the number of third branch ranged from 0 to 25 and there were none in domestic lines. The number of corolla of foreign lines was much more than that of domestic lines. The yield of foreign lines collected from Central Asia and United States of America were more than any others. Significantly positive correlations were observed between yield and days to flower, stem diameter, the number of branch and the number of corolla. In the analysis of path-coefficient, the highest direct effects on yield was the number of corolla followed by the number of total branch, whereas those of the number of second branch and stem diameter were negative.
This study was conducted to measure tea surface colors using the visible bands ($400{\sim}700$ nm) with near-infrared spectroscopy (NIRS). The surface colors of 117 tea products were measured with a colorimeter. The $a^*/b^*$ (CIE color scale) or a/b (Hunter color scale) ratios in different tea products accounted for about 99.7% of the variation in fermentation degree (FD), indicating that the $a^*/b^*$ (a/b) ratio is a very useful trait for assessing fermentation degree. Also tea powders were scanned in the visible bands used with NIRS. Calibration equations for surface colors and fermentation degree were developed using the regression method of modified partial least-squares (MPLS) with internal cross validation. The equations had low SECV (standard errors of cross-validation), and high $R^2$ (coefficient of determination in calibration) values with $0.779{\sim}0.999$, indicating that the whole bands ($400{\sim}2500\;nm$) with NIRS could be used to rapidly measure traits related to surface color, fermentation degree and other chemical components in tea products with high precision and ease at a time.
The purpose of this study was to measure fundamental data required for the prediction of milling ratios, and to develop regression models to predict the head rice ratio of milled rice using NIR spectra of hulled rice. A total of 81 rice samples used in this study were collected from Jeongeup, Jeonbuk province in 2006. NIR spectra were measured using one mode of measurement, reflection. The reflectance spectra were measured in the wavelength region of 400-2500 nm with an NIR spectrophotometer "NIRSystems 6500" (Foss, Silverspring, USA). Calibration equations were developed by the modified partial least squares (MPLS), partial least squares (PLS), and principal components regression (PCR). Math treatments were 1-4-4-1, 1-10-10-1, 2-4-4-1, and 2-10-10-1. The software used was WinISI (Infrasoft International, State College, USA). Automatic head rice production and quality checking system used was "SY2000-AHRPQCS" (Ssangyong, Korea). The calibration was made with the first derivative and the spectrum designated was in 8 nm interval. The determination coefficients of head rice ratios were 0.8353, 0.8416 and 0.5277 for the MPLS, PLS and PCR, respectively. Those obtained with 20 nm interval were 0.8144, 0.8354 and 0.6908 for the MPLS, PLS and PCR, respectively. The calibration was made with second derivative that spectrum designated was 8 nm in interval. The determination coefficients of head rice ratios were 0.7994, 0.8017 and 0.4473 for the MPLS, PLS and PCR, respectively. Those with 20 nm interval were 0.8004, 0.8493 and 0.6609 for the MPLS, PLS and PCR, respectively. These results indicate that the accuracy of determination coefficient for MPLS and PLS is higher than that of PCR.
Kim, Yong-Ho;Ahn, Hyung-Kyun;Lee, Eun-Seop;Kim, Hee-Dong
KOREAN JOURNAL OF CROP SCIENCE
/
v.53
no.1
/
pp.15-20
/
2008
Near infrared reflectance spectroscopy (NIRS) is a rapid and accurate analytical method for determining the composition of agricultural products and feeds. This study was conducted to measure anthocyanin contents in black colored soybean by using NIRS system. Total 300 seed coat of black colored soybean samples previously analyzed by HPLC were scanned by NIRS and over 250 samples were selected for calibration and validation equation. A calibration equation calculated by MPLS(modified partial least squares) regression technique was developed in which the coefficient of determination for anthocyanin pigment C3G, D3G and Pt3G content was 0.952, 0.936, and 0.833, respectively. Each calibration equation was applied to validation set that was performed with the remaining samples not included in the calibration set, which showed high positive correlation both in C3G and D3G content file. In case Pt3G, the prediction model was needed more accuracy because of low $R^2$ value in validation set. This results demonstrate that the developed NIRS equation can be practically used as a rapid screening method for quantification of C3G and D3G contents in black colored soybean.
An, Kyu Nam;Lee, In;Shin, Seo Ho;Min, Hyun Kyoung;Kwon, Oh Do;Park, Heung Gyu;Shin, Hae Ryong;Kim, Han Yong
KOREAN JOURNAL OF CROP SCIENCE
/
v.62
no.2
/
pp.79-86
/
2017
This study was conducted to analyze seasonal and annual variations in rice quality and factors affecting the quality, for quality evaluation of the brand rice varieties produced in Jeonnam region. Coefficient of variation (CV) values for the seasonal variation in the rice quality were 3.1% in Toyo value, 2.1% in whiteness, 1.6% in protein content, 1.0% in moisture content, and 0.4% in head rice ratio. Quality characteristics of the brand rice varieties generally showed a decreasing tendency after April, as the months progressed. CV values for the annual variation in the rice quality were relatively high at 5.6% in protein content and 5.2% in Toyo value whereas those for whiteness and head rice ratio were relatively low, at 2.7% and 1.8%, respectively. Palatability and protein content showed high correlations with minimum air temperature, sunshine hours, rainfall, and daily temperature range. Head rice ratio had a negative correlation with daily temperature range whereas chalky rice ratio had a positive correlation with rainfall. Based on these results, we formulated a multiple regression equation to estimate palatability of cooked rice using protein content, whiteness, head rice ratio, and moisture content as follows: y = - 6.71a + 2.27b + 1.29c + 0.51d - 15.34 ($R^2$=0.51*) (y: palatability of cooked rice, a: protein content, b: moisture content, c: whiteness, d: head rice ratio).
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