• KOREAN JOURNAL OF CROP SCIENCE
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• v.44 no.2
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• pp.106-111
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• 1999

To investigate the effects of planting density and nitrogen level on growth and yield potential of newly bred heavy panicle japonica rice with large grain (Iksan 435 and Iksan 438) or many spikelets per panicle(HR14022-21-8-4 and HR14022-21-8-6), four heavy panicle type rices and two many panicle type rices(Dongjinbyeo and Donganbyeo) as the checks were planted under standard planting density (30$\times$15 cm) and dense planting density (15$\times$15 cm) with two nitrogen levels of standard nitrogen level(110 kg h $a^{-1}$) and heavy nitrogen level(165 kg h $a^{-1}$). Effective tiller rate decreased in dense planting or heavy nitrogen, when compared to standard nitrogen and planting, while leaf area index and to dry weight increased in dense planting or heavy nitrogen. Tiller numbers and panicle numbers were more increased by dense planting than heavy nitrogen, whereas spikelet numbers were more increased by heavy nitrogen than dense planting. Ripened grain ratio was slightly lower only in dense planting. 1,000 grain weight in brown rice was not significantly different in dense planting or heavy nitrogen. Milled rice yield was highest in heavy nitrogen with standard planting for heavy panicle type rice, while yield for many panicle type rice was highest in heavy nitrogen with dense planting, suggesting that many panicle type rice possesses higher adapt-ability for dense planting than heavy panicle type rice. Path coefficient analysis revealed that top dry weight, spikelet number and grain weight were the greatest positive contributors to yield, whereas tiller number was negative to yield.d.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.68-68
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• 2022

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.10a
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• pp.224-224
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• 2021

• KOREAN JOURNAL OF CROP SCIENCE
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• v.69 no.2
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• pp.111-122
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• 2024

This study was conducted to evaluate agronomic traits and classify phylogenetic characteristics of Korean wheat landraces (KWLs) collected in Gyeongnam province. We used the squash method for chromosome observation, image analysis to examine seed characteristics, and genotyping using commercial single-nucleotide polymorphism chips to construct a phylogenetic tree. All KWLs contained 42 chromosomes and two pairs of microsatellites as observed in Keumgang, a Korean wheat cultivar. All KWLs showed smaller seed traits compared with those of Keumgang, although KWL-3 had a larger embryo length than that of Keumgang. Among agronomic traits compared with those of Keumgang, all KWLs had a late heading date and ripening period except for KWL-3, which showed the smallest culm and spike length. KWL-1 had the lowest tiller, highest floret, and grain number. All KWLs showed a lower thousand grain weight than that of Keumgang because of their smaller seeds. In the variation of variety and area, the heading date, ripening period, tiller number, and floret number were affected by the cultivation area, whereas the culm length, spike length, and 1000 grain weight were affected by the variety. Correlation distribution analysis showed differences in agronomic traits according to the cultivation area, and the heading date was positively correlated with the culm length and floret number in three cultivation areas. Principal component analysis explained that the heading date had a positive relationship with the ripening period and floret number and a negative relationship with the tiller number. Principal component analysis also revealed that all KWLs had a lower thousand grain weight than that of Keumgang. Phylogenetic tree showed that KWL-1 was near KWL-3, while KWL-2 was near KWL-4. All KWLs were genetically near the Korean wheat cultivars milsung and saeol, whereas they were genetically far from the Korean wheat cultivars goso and olgrue.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11b
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• pp.154-161
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• 2000

A series of soil bin experiment was carried to investigate the effects of rotary blade shape, rotational direction of rotary blade, number of blade and soil cutting disk blade on the characteristics of partial tillage. Among the three types of rotary blades, rotary blade for cultivator was considered to be proper for partial tillage of direct seeder considering the torque requirements and ratio of soil breaking. There is no need to attach so many blades to the rotary shaft. Four rotary blades were enough for efficient partial tillage by rotary tiller. Though soil cutting disk blade assisted the better formation of seedbed furrow, attachment of the soil cutting disk blade increased torque requirements.

• Asian Journal of Turfgrass Science
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• v.1 no.1
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• pp.37-41
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• 1987

Effect of Rolling factor on the growth and thatch accumulation in tall fescue was studied from the viewpoint of estimate the rolling factor to obtain the highest values of growth characters and analysis of thatch accumulation. Rolling factors were 1.82, 3.33, 4.29 and 4.85, respectively. The results are may he summarized as follows ; 1. Rolling factor was affected to obstructive on the growth of tall fescue. Thus, the rolling factor ( RF) had significant negative correlated with the dry weight of plant ( DW ), leaf weight (LW), stem weight (SW), dry weight of thatch (Th), number of tillers (NT) and C / F ratio. 2. Rolling factor of 1.82 was an adequate rolling factor for the growth. 3. The dry weight of thatch(Th) had significant positive correlated with DW, LW, and NT, but negative correlated with the dry weight of thatch per a tiller ( th / NT). 4. Thatch accumulation system can be shown in following diagram. yield compnents - DW ~ Th - Rf (LW, SW, NT, C/F) th/NT 5. The dry weight of thatch per a tiller(th / NT) was a concerning factor for the losses of thatch.

• Plant Resources
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• v.4 no.1
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• pp.31-35
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• 2001

Major characteristics of new Waesungri maize inbred line has multi-tiller and ears: five to six tillers and seven to eight ears per plant and flowering date of Waesungri was delayed about 18 and 24 days compared to Mo17 U.S line and IK$_4$ Korean local lines, respectively. Number of ears, fresh and dry weight per plant were significantly different among all tested hybrids including Waesungri/Sinkihong hybrid under different planting times and densities. Especially, both fresh and dry weight of IK$_1$/FR140//Waesungri F$_1$hybrid were significantly higher at high planting density. In kernel weight per unit area, Wnesungri/Sinkihong hybrid was high at high density and IK$_1$/FR140//Waesungri hybrid was high at low planting density. As results of analysis of variance, flowering date was shown a significantly different both planting times and varieties, while other characters including stem height were shown very variable in interactions with enviromental factors.

• Korean Journal of Weed Science
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• v.10 no.3
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• pp.171-178
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• 1990

This study was conducted to determine which of the different agronomic traits of rice (Oryza saliva L.) has greater weight in predicting thiobencarb (S-[(4-chlorophenyl) methyl]diethylcarbamothioate) tolerance. Differences in plant height, tiller number, culm length, panicle number, and spikelet number per panicle between tolerant and susceptible cultivars were greater at the higher herbicide rate. However, days to heading and percent filled spikelets were not affected by herbicide rate. At the higher thiobencarb rate, the coefficients for all characters except plant height, tiller number, and percent filled spikelets were significant. Spikelet number per panicle and panicle number which had positive significant coefficients at both concentrations are the most useful indicators of total filled spikelets.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.81-81
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• 2022

Recently, many studies on big data based smart farming have been conducted. Research to quantify morphological characteristics using image data from various crops in smart farming is underway. Rice is one of the most important food crops in the world. Much research has been done to predict and model rice crop yield production. The number of productive tillers per plant is one of the important agronomic traits associated with the grain yield of rice crop. However, modeling the basic growth characteristics of rice requires accurate data measurements. The existing method of measurement by humans is not only labor intensive but also prone to human error. Therefore, conversion to digital data is necessary to obtain accurate and phenotyping quickly. In this study, we present an image-based method to predict leaf number and evaluate tiller number of individual rice crop using YOLOv5 deep learning network. We performed using various network of the YOLOv5 model and compared them to determine higher prediction accuracy. We ako performed data augmentation, a method we use to complement small datasets. Based on the number of leaves and tiller actually measured in rice crop, the number of leaves predicted by the model from the image data and the existing regression equation were used to evaluate the number of tillers using the image data.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2003.10a
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• pp.38-42
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• 2003

This experiment was carried out the investigation of proper temperature of germination and growth responses of turf grass to different seedling ages. The results were as follows; 1. It was indicated that the proper temperature of germination was 30$^{\circ}C$ of day and 15$^{\circ}C$ of night, and day length was 14/10 hrs. 2. It was observed that 50 days of seedling was excellent with growth components such as number of tiller, length of tillering, number of node and internode length.