• Title/Summary/Keyword: Crop planting data

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Growth and Yield Responses of Soybean to Planting Density in Late Planting (남부지방 콩 만파 재배 시 재식밀도에 따른 생육 및 수량변이)

  • Park, Hyeon-Jin;Han, Won-Young;Oh, Ki-Won;Ko, Jong-Min;Bae, Jin Woo;Jang, Yun Woo;Baek, In Youl;Kang, Hang-Won
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.60 no.3
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    • pp.343-348
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    • 2015
  • Soybean is one of the important food crop around the world. Especially in East Asia, it is the main ingredient for traditional food like soy sauce and soy paste. The double cropping system including soybean following onion, Chinese cabbage, and potato is widely adopted in Southern region of Korea. In this system, sowing date of second crop (soybean) can be delayed depending on first crops' growth period and weather condition. When planting date is delayed it is known that soybean yield is declined because of shorter vegetative growth period and earlier flowering induced by warm temperature and changes in photoperiod. The objective of this study was to determine soybean growth and yield responses as plant populations at late planting date. Field experiment was conducted at Department of Functional Crop, National Institute of Crop Science, RDA located in Miryang, Gyeongsangnam-Do for two years ('13-'14) in upland field with mid-late maturity cultivar Daewon. A split-plot block design was used with three replications. Main plots were three sowing dates from June 20 to July 20 with 15 days intervals, and subplots were 4 levels of planting densities. Data of maturity (R8) was recorded, yield components and yield were examined after harvesting. Experimental data were analyzed by using PROC GLM, and DMRT were used for mean comparison. Optimum planting population for maximizing soybean yield in late planting which compared with standard population. In mid-June planting, higher planting density causes increased plant height and decreased diameter which lead to higher risk of lodging, however, reduced growth period due to late planting alleviated this problem. Therefore higher seeding rates can provide protection against low seedling emergence caused by late planting in this region.

Effect of different plant densities on growth and yield of sorghum(Sorghum bicolor L. Moench.)

  • Cho, Young Dae;Jung, Ki Yuol;Chun, Hyun Chung;Lee, Sang Hun;Kang, Hang Won
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.206-206
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    • 2017
  • Sorghum is a crop with a various plant height depending on the planting density. If the height exceeds 1.8m, which is the harvestable height of the combine, loss is caused by clogging of the installation, entrance of the threshing section and the threshing section. The purpose of this study is to set the planting distance and number of plants per hill suitable for combine harvesting as the plant length does not exceed 1.8m. The experimental variety was Nampungchal. The experiment design was a split-plot design with three replications. The treatments were as follow: Main-plot were 1 and 2 plants as number of plants per hill and sub-plots were $60{\times}20cm$ (practice), $70{\times}15$, 20, 25, 30 cm as planting distance. The amount of nitrogen, phosphate and potassium fertilization were 100, 70, $80kg\;ha^{-1}$. Data were collected: (1) grain yield: weight of grain in $kg\;ha^{-1}$, (2) 1000 grain weight: average weight of 1000 grain, (3) plant height: distance from soil to top of panicle, (4) ear length: distance from top of stem to top of ear in cm, (5) stem diameter: diameter of second internode, (6) tiller number per hill. Analyses of variance were performed using R version 3.3.1(https://www. r- project. org). The Duncan's multiple range test(DMR) was used to separate treatment means at P < 0.05. As number of plants per hill increased, plant height and yield increased and tiller number decreased. As planting distance increased, plant height and yield decreased and tiller number increased. At 1 plant per hill, the plant height did not exceed 1.8m at all planting distance. At 2 plants per hill, the plant height did not exceed 1.8m from the planting distance of $70{\times}25cm$. At 1 plant per hill, the tiller number increased to 0.23, 0.27, 0.60 and 0.70 as the planting distance increased to $70{\times}15$, 20, 25 and 30 cm, respectively. At 2 plants per hill, the tiller number increased to 0.03, 0.03, 0.14 and 0.40 as the planting distance increased to $70{\times}15$, 20, 25 and 30 cm, respectively. At 1 plant per hill, the yield decreased to 6030, 4280, 3400 and $3230kg\;ha^{-1}$ as the planting distance increased. At 2 plant per hill, the yield decreased to 7850, 5770, 5720 and $4960kg\;ha^{-1}$ as the planting distance increased. We recommend that the optimum number of plants per hill and planting distance is 2 and $70{\times}25cm$ suitable for combine harvesting.

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Effects of Planting Dates on Growth and Yield of Soybean Cultivated in Drained-Paddy Field

  • Cho Jin-Woong;Lee Jung-Joon;Kim Choong-Soo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.49 no.4
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    • pp.325-330
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    • 2004
  • This study was carried out to determine adequate planting date, to compare the growth characteristics between early and late maturing cultivars, and to provide the data for the cultivation techniques of soybean [Glycine max (L.) Merr.] in double cropping system with winter crops on paddy field in Korea. Cultivars were planted on 26 May, 16 June, and 7 July with a planting density of $70cm(row\;widtb)\;{\times}\;10cm$ (planting spacing). Seed yield of soybean planted on June 16 and July 7 was approximately $37\%\;and\;53\%$, respectively, less than that of conventional planting date of May 26 in Pungsan-namulkong, and planted on June 16 and July 7 was about $30\%\;and\;37\%$, respectively, less then that of conventional planting date of May 26 in Hanamkong. The number of pods and seeds per plant decreased as planting date delayed. Seed weight increased in Pungsan-namulkong but decreased in Hannamkong as planting date delayed. The flowering date was late in delayed planting plots, but it was shorted for days from emergence to flowering and from emergence to maturity. The plant height of Hannamkong was greater than Pungsan-namulkong from the emergence to flowering stages, but in contrast, it was greater in Pungsan-namulkong than Hannamkong after flowering stage (50d after emergence) when it planted on May 26. There were no significant differences between two soybean cultivars at planting dates of June 16 and July 7. Leaf number, leaf area, and dry matter were also reduced by late planting, and Both of them were shown in high reduction at the later planting. There was a high significant difference at the flowering $(r\;=\;0.87^{**})$ and pod formation $(r\;=\;0.91^{**})$ stages between leaf dry matter and seed yield. Crop growth rate (CGR) was greater at $R2\~R3$ growth stages compared to $R3\~R4\;or\;R4\~R5$ growth stages in two soybean cultivars and the greatest CGR was obtained at planting date of May 26 in two soybean cultivars except for R4-R5 growth stage in Pungsan-namulkong. There was a highly significant positive difference between the seed yield and the leaf area index (LAI) across R3 to R4 and R2 to R3 stages. The photosynthetic rate $(P_N)$ of the uppermost leaf position had no significant difference among planting dates and between two soybean cultivars. However, $P_N$ of the $7^{th}$ leaf position increased as the planting date delayed.

Effect of planting density and seeding date on the tiller occurrence, growth and yield of sorghum (Sorghum bicolor L.)

  • Han, Tae Kyu;Yoon, Seong Tak;Jeong, In Ho;Kim, Young Jung;Yu, Je Bin;Yangjing, Yangjing;Ye, Min Hee
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.348-348
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    • 2017
  • This experiment was conducted to investigate the aspect of tiller occurrence, growth and yield of sorghum according to planting density and sowing date. The subject of this experiment is to supply basic data to inhibit non-productive tillers uneconomical and cumbersome for mechanical harvesting. Also another subject was to evaluate optimum planting density and sowing date in central district area. Total number of tillers was more in 80cm ridge than 60cm ridge and it was increased as the planting distance was wider from 15cm to 30cm on the each ridge. Ratio of effective tillers was higher in 60cm ridge than 80cm ridge and it was decreased as planting distance was wider from 15cm to 30cm. The lower the planting density, the more increased total number of tillers, whereas effective tillers were decreased as planting density was high. Average of total number of tillers of three varieties was higher in sowing date of 2 May (1st sowing date), whereas ratio of effective tillers was the highest in sowing date of 23 May (2nd sowing date). Hwanggeumchal showed the highest total number of tillers (1.2 tillers), while Moktaksusu had the lowest total number of tillers (0.8 tillers) among three varieties. There were no significant difference between planting density and days to heading and ripening date from seeding. Culm length increased as planting density was high, but ear length, grains per ear and 1000 grain weight were decreased on the other hand. The highest yield of sorghum per 10a was obtained from $60{\times}20cm$ planting density among 6 planting densities.

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Cultivation Characteristics and Variation of Artemisinin Contents by Harvest Time of Artemisia annua L. Distributed in Korea (한국산 개똥쑥의 재배특성 및 수확시기에 따른 Artemisinin의 함량변이)

  • Lee, Jeong Hoon;Lee, Sang Hoon;Park, Chun Geun;Park, Chung Berm;Kim, Ok Tae;Choi, Ae Jin;Kim, Yong Joo;Cha, Seon Woo
    • Korean Journal of Medicinal Crop Science
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    • v.21 no.6
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    • pp.433-438
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    • 2013
  • This study was conducted to obtain the basic data for using the Artemisia anuua as a new economic crop, thus Artemisia anuua was investigated their cultivation characteristics, yield, and variation of artemisinin contents by planting density and harvesting times. Seed characteristics of A. anuua have observed micro-size, and their germination optimum temperature was at 15 to 20 celsius degree. Planting density on the yield of A. anuua was increased high density better than low density. The highest yield was planted in the space of $30{\times}10$cm. Moreover, optimum harvesting time of A. anuua was investigated in early september and a periods of most highly detected artemisinin was time of before and after blooming of A. anuua.

A Study on Crop planting data acquisition using the IOT (IOT를 이용한 농작물 재배 데이터 취득에 관한 연구)

  • Cho, Young-Seok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.55-56
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    • 2017
  • 본 논문에서는 작물재배에 대한 전문지식이 없는 초심자를 위하여 IOT를 이용하여 작물 재배에 필요한 데이터를 취득하는 시스템을 제안한다. 베이비 붐 세대의 은퇴가 진행되면서 도시농업의 증가와 정밀 고소득 장물에 대한 수요가 증가되고 있어 이에 필요한 작물의 재배자료에 대한 중요성이 증대되고 있다. 이에 각각의 작물에 따른 최적의 재배데이터를 계측하여 데이터베이스로 구축에 관한 연구를 진행하고자 한다. 작물 재배 데이터의 취득은 작물 데이터를 취득하는 계측 및 제어부와 계측데이터를 수집하고, 수집된 데이터를 기초로 작물재배 데이터를 처리하는 서버부분으로 구성되며, 계측 및 제어부에서 재배환경의 온도, 습도, 그리고 광량, 수분공급시기, 영양분 투입 데이터를 계측하여 일정 시간마다 서버로 저장한다. 따라서 본 논문에서 구축하고자 하는 IOT를 이용하여 작물 재배에 필요한 데이터는 최적의 작물 생장환경을 지속적으로 제공하여 비전문가의 농업활동에 새로운 방향을 제시하리라 사료된다.

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Effect of Planting Distance and Seeding Date on the Tiller Occurrence, Growth Characteristics of Sorghum (Sorghum bicolor L.) Resources (재식거리 및 파종기 이동에 따른 수수자원의 분얼발생 및 생장 특성)

  • Han, Tae-Kyu;Yoon, Seong-Tak
    • Korean Journal of Plant Resources
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    • v.30 no.4
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    • pp.427-434
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    • 2017
  • This experiment was conducted to investigate the aspect of tiller occurrence, growth and yield of sorghum according to planting distance and sowing date. The object of this experiment is to get basic data to inhibit non-productive tillers uneconomical and cumbersome for mechanical harvesting. Also another object was to evaluate optimum planting distance and sowing date in central district area. Total number of tillers was more in 80 cm ridge than 60 cm ridge and it was increased as the planting distance was wider from 15 cm to 30 cm on the each ridge. Ratio of effective tillers was higher in 60 cm ridge than 80 cm ridge and it was decreased as planting distance was wider from 15 cm to 30 cm. The lower the planting distance, the more increased total number of tillers, whereas effective tillers was decreased as planting distance was high. Average of total number of tillers of three varieties was higher in sowing date of May 2 (1st sowing date), whereas ratio of effective tillers was the highest in sowing date of May 23 (2nd sowing date). Hwanggeumchal showed the highest total number of tillers (1.2 tillers), while Moktaksusu had the lowest total number of tillers (0.8 tillers) among three varieties. There were no significant difference between planting distance and days to heading and ripening date from seeding. Culm length increased as planting distance was high, but ear length, grains per ear and 1000 grain weight were decreased on the other hand. The highest yield of sorghum per 10a was obtained from $60{\times}20cm$ planting distance among 6 planting distances.

Determination of the Temperature Increasing Value of Seedling Nursery Period for Oryza2000 Model to Applicate Grid Weather Data (Oryza2000 모형 활용을 위한 육묘기 보온 상승온도 결정)

  • Kim, Junhwan;Sang, Wangyu;Shin, Pyeong;Baek, Jaekyeong;Kwon, Dongwon;Lee, Yunho;Cho, Jung-Il;Seo, Myungchul
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.1
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    • pp.20-25
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    • 2020
  • Spatial simulation of crop growth often requires application of management conditions to each cell. In particular, it is of great importance to determine the temperature conditions during the nursery period for rice seedlings, which would affect heading date projections. The objective of this study was to determine the value of TMPSB, which is the parameter of ORYZA2000 model to represent temperature increase under a plastic tunnel during the rice seedling periods. Candidate values of TMPSB including 0℃, 2℃, 5℃, 7℃ and 9℃ were used to simulate rice growth and yield. Planting dates were set from mid-April to mid-June. The simulations were performed at four sites including Cheorwon, Suwon, Seosan, and Gwangju where climate conditions at rice fields common in Korea can be represented. It was found that the TMPSB values of 0℃ and 2℃ resulted in a large variation of heading date due to low temperature occurred in mid-April. When the TMPSB value was >7℃, the variation of heading date was relatively small. Still, the TMPSB value of 5℃ resulted in the least variation of heading date for all the planting dates. Our results suggested that the TMPSB value of 5℃ would help reasonable assessment of climate change impact on rice production when high resolution gridded weather data are used as inputs to ORYZA2000 model over South Korea.

Growth Monitoring for Soybean Smart Water Management and Production Prediction Model Development

  • JinSil Choi;Kyunam An;Hosub An;Shin-Young Park;Dong-Kwan Kim
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.58-58
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    • 2022
  • With the development of advanced technology, automation of agricultural work is spreading. In association with the 4th industrial revolution-based technology, research on field smart farm technology is being actively conducted. A state-of-the-art unmanned automated agricultural production demonstration complex was established in Naju-si, Jeollanam-do. For the operation of the demonstration area platform, it is necessary to build a sophisticated, advanced, and intelligent field smart farming model. For the operation of the unmanned automated agricultural production demonstration area platform, we are building data on the growth of soybean for smart cultivated crops and conducting research to determine the optimal time for agricultural work. In order to operate an unmanned automation platform, data is collected to discover digital factors for water management immediately after planting, water management during the growing season, and determination of harvest time. A subsurface drip irrigation system was established for smart water management. Irrigation was carried out when the soil moisture was less than 20%. For effective water management, soil moisture was measured at the surface, 15cm, and 30cm depth. Vegetation indices were collected using drones to find key factors in soybean production prediction. In addition, major growth characteristics such as stem length, number of branches, number of nodes on the main stem, leaf area index, and dry weight were investigated. By discovering digital factors for effective decision-making through data construction, it is expected to greatly enhance the efficiency of the operation of the unmanned automated agricultural production demonstration area.

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Survey of Planting System and Pesticide Spray Method on Apple Orchards in Korea (국내 사과원의 재배형태 및 농약 살포방법 조사)

  • Kwon, Hyeyoung;Hong, Su-Myeong;Kim, Sang-Su;Paik, Min Kyoung;Lee, Hyo Sub;Kim, Dan-Bi;Moon, Byeong-Chul
    • The Korean Journal of Pesticide Science
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    • v.21 no.1
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    • pp.9-16
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    • 2017
  • A survey was conducted to research on planting system and pesticide spray methods including spray volume, sprayer types, and spray nozzles used in apple orchards. The survey was deployed to 395 farmers in 17 cities and towns including 7 regions which are major producers of apple via interview. Major apple varieties were Fuji (79.2%) and Hongro (50.9%) and high density planting system was mainly used in apple orchards (distance between rows: 4.0-4.5 m (73.1%); planting distance: 1.5-3.5 m (88.6%); canopy height: 3.0-4.5 m (88.2%)). The percentages of sprayer types were 77.6% and 22.1% for speed sprayer (airblast sprayer) and power sprayer, respectively. Spray volumes per 10a were 250-300 L in April, the month of spraying the lowest volume, and 300-400 L in June-August, the months of spraying the highest volume. Significant difference in spray volumes were not observed between conventional planting and high density planting, but regional spray volume showed significant difference. The main nozzles used by apple farmers using power sprayers were super jet nozzle (45%), super wide nozzle (26%), and 2-3 vertical head nozzle (25%). The results will helpful to establish practical agrochemicals management policy including suggestion of pesticide spray volume and evaluation of pesticide residue data and efficacy data.