• KOREAN JOURNAL OF CROP SCIENCE
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• v.51 no.4
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• pp.269-273
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• 2006

Multiple linear regression analysis was conducted to interpretate the relationship between sesame grain yield and its components under early sowing cropping condition. The t test showed that stem length, number of capsules per plant, 1000 seeds weight and seed weight per plant gave significant contribution to sesame grain yield, therefore those variables were assumed to mostly influenced components to grain yield of sesame. In the stepwise regression analysis, the predicted equation for sesame grain yield per square meter (Y) was Y = -7.900 + 0.150X1 + 0.461X5 + 15.553X6 + 8.543X7. Meanwhile, F value showed that stem length, number of capsules per plant and seed weight per plant gave significant contribution to sesame grain yield, while 1000 seeds weight did not significantly show. Based on the results, it is reasonable to assume that high yield. potential of sesame under early sowing cropping condition would be obtained by selecting breeding lines with long stem length, number of capsules per plant, and seed weight per plant, which was different result at the late sowing cropping condition in which days to flowering and maturity were assumed to be more affected factors to the sesame grain yield.

• Korean Journal of Plant Resources
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• v.8 no.3
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• pp.287-296
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• 1995

Stability of yield and yield components in 6 cotton cultivars were evaluated using data from the regional yield trials at two sites from 1987 to 1990. Genotype-environment interactions were analyzed by the modified model of Eberhart and Russell. The results revealed that Mokpo 7, which had many effective number of bearing branches and capsule, was the most stable high yielding variety over a wide range of environmental variations. bearing branches and capsule, was the most stable high yielding variety over a wide range of environmental variations.

• Korean Journal of Organic Agriculture
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• v.9 no.1
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• pp.29-36
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• 2001

This study was conducted to investigate the effects of microbial fertilizers on the yield of altari radish, chemical components of plant and soil, and the microbial floras. Six microbial fertilizers, MPK＋Husk＋Palma, Husk＋Palma, MPK＋Compost, Compost, Bio livestock cattle system (BLCS) cattle dropping, and Tomi, were used in this experiment. The yield of altari radish was increased in treatments of all microbial fertilizers. The concentration of all chemical components in plant were not significantly different. Whereas the amount of $P_2$$O_{5}$ in soil was increased in Compost treatment, the other components were not significantly different compared with control. The total bacteria and bacilli in soil were increased in Tomi, Husk＋Palma, and MPK＋Husk＋Palma treatments, and actinomycete and fungi were increased in Tomi treatment.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.19
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• pp.100-131
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• 1975

To obtain basic information on the improvement of naked barley production. and to clarify the relation-ships between yield or yield components and some meteorogical factors for yield prediction were the objectives of this study. The basic data used in this study were obtained from the experiments carried out for 16 years from 1958 to 1974 at the Chon-nam Provincial Office of Rural development. The simple correlation coefficients and multiple regression coefficients among the yield or yield components and meteorogical factors were calculated for the study. Days to emergence ranged from 8 to 26 days were reduced under conditions of mean minimum air temperature were high. The early emergence contributed to increasing plant height and number of tillers as well as to earlier maximum tillering and heading date. The plant height before wintering showed positive correlations with the hours of sunshine. On the other hand, plant height measured on march 1st and March 20th showed positive correlation with the amount of precipitation and negative correlation with the hours of sunshine during the wintering or regrowth stage. Kernel weights were affected by the hours of sunshine and rainfall after heading, and kernel weights were less variable when the hours of sunshine were relatively long and rainfalls in May were around 80 to 10mm. It seemed that grain yields were mostly affected by the climatic condition in March. showing the negative correlation between yield and mean air temperature, minimum air temperature during the period. In the other hand, the yield was shown to have positive correlation with hours of sunshine. Some yield prediction equations were obtained from the data of mean air temperature, mean minimum temperature and accumulated air temperature in March. Yield prediction was also possible by using multiple regression equations, which were derived from yield data and the number of spikes and plant height as observed at May 20th.

• Korean Journal of Plant Resources
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• v.34 no.6
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• pp.542-554
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• 2021

In this study, we cultivated 115 Soritae and 86 Yakkong black soybean landraces collected from ten different locations in Korea. Then, the variations of three yield components (one-hundred seeds weight (HSW), number of seeds per pod (SPP), and yield per plant (YPP)) and three anthocyanins (cyanidin-3-O-glucoside (C-3-O-G), delphinidin-3-O-glucoside (D-3-O-G) and petunidin-3-O-glucoside (Pt-3-O-G)) were investigated according to landrace type and collection area. Both yield components and anthocyanin contents significantly varied between the soybeans demonstrating genetic differences. Soritae landraces had the highest average HSW and TAC, whereas Yakkong landraces displayed the highest average SPP irrespective of collection area. Relatively, Yakkong landraces from Gyeongsangnam-do (1697.29 mg/100 g) and Soritae landraces from Gyeonggi-do (2340.94 mg/100 g) had the highest average TAC. Principal component analysis clearly separated Soritae and Yakkong landraces. Moreover, TAC and C-3-O-G showed positive and significant associations in both Soritae (r = 0.972) and Yakkong (r = 0.885) landraces, while yield components showed negative or weak correlations with each other. Overall, ten landraces were identified as important resources owing to their high yield (>150 g/plant) and high level of TAC (>2300 mg/100g). This study could lay foundations to molecular level investigations and reinforce the use of Yakkong and Soritae landraces during cultivar development.

• Proceedings of the Korean Society of Crop Science Conference
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• 1997.05a
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• pp.102-103
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• 1997

• Plant Resources
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• v.4 no.2
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• pp.92-96
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• 2001

seeding rates(1.5,2.0,3.0 and 3.5$\ell$/10a). There were no differences in the yield components such as length of stem and ear diameter of stem number of branch, internode and ear, and yield of fresh and dry stem between the seeding methods with drilling and broadcasting, but yield components such as length of stem and ear, diameter of stem, number of branch, internode and ear, and yield of fresh and dry stem increased with seeding rates of from 2.5$\ell$ /10a to 3.5$\ell$/10a. Therefore potimum rates and methods of sowing were from 2.5$\ell$/10a to 3.5$\ell$/10a with seeding at the drilling and broadcasting.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2000.05a
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• pp.26-33
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• 2000

This study was conducted to investigate the relationships between yearly variations of elimatic elements and yearly variations of productivity in potato. In addition, correlation coefficients among yield and yield components were estimated. The data of yield and yield components were investigated for 9 years from 1987 to 1995. The meteorological data what gathered at the Goheung Weather Station for the same period of crop growing season were used to find out the relationships between climatic elements and crop productivity. Yearly variation of the daily minimum temperature in March and April were large with coefficients of variation (C.V.) of 126.0%, 368%, respectively, but the variation of the daily mean and maximum temperature in May and June were relative small. Stem length and number of stem show more C.V. of 9.3%, 14.3%, respectively, but the variation of the yield was relative small with 3.7%. Correlation coefficients between the amount of precipitation in April and yield, yield and daily mean temperature in June were negatively significant at the level of 5, 1 %, respectively. Correlation coefficients between the growth habits and yield are positively significant at the level of 5, 1 %, respectively. Simple linear regression equations by the least square method are estimated for stem length (Yl) and the precipitation in April(X) as Y,=82.47-0.11x (R2=0.3959), and for yield(Y2) and the precipitation in April(X) as Y,=2003.61-0.94X (R2=0.5418).

• Proceedings of the Korean Society of Crop Science Conference
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• 1989.02a
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• pp.42-43
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• 1989

• Plant Resources
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• v.6 no.3
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• pp.178-182
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• 2003

This study was conducted to investigate the relationship between yearly variations of climatic elements and yearly variations of productivity in perilla. In addition, correlation coefficients among yield and yield components were estimated. The data of yield and yield components were investigated for 10 years from 1991 to 2000. The meteorological data gathered at the Yeosu Weather Station for the same period were used to find out the relationships between climatic elements and productivity. Yearly variation of the amount of precipitation in September was large with coefficients of variation(c. v.) of 11.1%, but the coefficient of variance(c. v.) in July and August were relative small with 1.8, 2.1%, respectively. Number of cluster per hill and weight of 1,000 grains were greatly with c. v. of 76.1, 79.3%, respectively, but the coefficients of variance(c. v.) of plant height and seed yield were more less with 9.58, 10.60%, respectively. Correlation coefficients between precipitation of September and seed yield were positively significant correlation at the level of 5.1%, respectively, but the duration of sunshine in September and seed yield were negatively significant at the level of 5.1%, respectively. Correlation coefficients of these, the plant height, number of branches per plant, cluster length, number of cluster per hill, weight of 1,000 grains and seed yield were positively significant at the level of 5.1% respectively.