• Title/Summary/Keyword: 작물분석

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Quality Characteristics of Perilla frutescens Cultivars According to Different Sowing Dates (파종 시기에 따른 들깨 품종별 품질 특성 변화)

  • Kim, Jung In;Lee, Myoung Hee;Kim, Sungup;Oh, Eunyoung;Ha, Tae Joung;Oh, Ki Won;Cho, Kwang-Soo;Jung, Chan Sik
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.66 no.4
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    • pp.403-410
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    • 2021
  • The present study investigated the quality characteristics of Perilla frutescens Britt. seed compounds according to the cultivar and sowing dates. In the present experiment, five Perilla cultivars, namely 'Dayu', 'Deulsaem', 'Deulhyang', 'Baekjin', 'Sodam', were planted on three different dates, including May 30, June 20, and July 10. The contents of key compounds and phenols varied depending on the cultivar and sowing date. With the delayed sowing time, the days to flowering and maturity of the culitvar decreased, while the seed weight and hardness increased. Crude protein content increased but crude lipid content decreased with the delay in the sowing time. However, there was no interaction of different sowing dates with the fatty acid content, which remained stable compared with the other values. Overall, the total polyphenol content was higher in Perilla seeds sown on May 30.

Imagery Acquisition Methods for Root Analysis in Crops under Field Conditions (포장에서 작물의 뿌리분석을 위한 이미지 획득방법)

  • Kim, Yoonha
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.66 no.4
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    • pp.452-458
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    • 2021
  • Roots are the most important organs in plants that absorb nutrients and moisture from the soil. However, owing to difficulties in root data collection, root research is still poorly conducted as compared to shoot research. Recent advancements in crop phenotyping, through advanced imagery data, are rapidly increasing, and artificial intelligence has been applied in various crop root research. Depending on the purpose, different root analysis methods have been developed that measure roots directly in soil or after separation from the soil. Each method has its advantages and disadvantages; therefore, it can be used in accordance with the research interest. Therefore, this review introduces root analysis methods that use imagery systems to help domestic researchers precisely study plant roots or root architecture.

Improvement of Agricultural Water Demand Estimation Method: Focusing on Paddy water demand estimation (농업용수 수요량 산정방법의 개선 : 논용수 수요량 산정을 중심으로)

  • Hwang, Junshik;Kwon, Youjeong;Seo, Yongwon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.64-64
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    • 2020
  • 현재 농업환경 및 식생활 변화 등으로 인하여 농지 수요는 꾸준히 감소하고 있다. 이러한 현상과 맞물려 정부에서는 2019년 6월에 물관리기본법을 제정함으로서 지속가능한 통합 물 관리를 실현하려는 움직임을 보이고 있다. 따라서 효율적인 통합 물 관리를 실현하기 위해서는 61%라는 가장 많은 용수를 사용하고 있는 농업용수에 대한 면밀한 검토가 이루어져야 할 시점이다. 금회 연구에서는 현재 농업용수 사용량 현황을 분석함과 동시에 농업용수 중 67% ~ 87%의 비율을 차지하고 있는 논 용수 산정법을 검토한 후 문제점을 분석하고 문제점 개선을 통한 용수수요 확보를 분석하였다. 논 용수 산정방법의 가장 큰 문제점은 잠재증발산량 산정식에 있다. 현재 사용하고 있는 잠재증발산량 방법은 국제식량기구(FAO)에서 권장하고 있는 Penman-Monteith 식이 아닌 과거부터 사용하고 있으며, 오차율이 높은 수정 Penman 식을 사용하고 있다. 또한 잠재증발산량 산정이 주요 인자인 작물계수의 경우도 23년전의 작물계수를 이용함으로서 현재 기후 및 작물품종 변화를 전혀 반영할 수 없다는 문제점을 가지고 있다. 전주기상청의 자료를 이용하여 Penman 및 Penman-Monteith 식을 비교한 결과 수정 Penman 식이 Penma-Monteith 식에 비하여 2배 이상의 큰 값을 보였다. 작물계수를 적용할 경우 증발산량이 많이 일어나는 5월 하순에서 8월 하순까지의 차이가 크게 발생하였다. 이러한 문제는 논용수 수요량의 과대하게 산정되는 결과를 초래하며, 수자원장기종합계획 및 장기 물관리 계획시 효율적이고 합리적인 계획수립이 어려울 것으로 판단되며, 논 용수 수요량 산정방법에 대한 개선안이 시급히 이루어져야 할 것으로 판단되어진다.

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Agricultural and Quality Characteristics in Recombinant Inbred Lines (RILs) Population in Perilla (Perilla frutescens) (들깨 대실/잎들깨1호 재조합 자식계통(RILs)의 농업적 특성 및 품질 분석)

  • Park, Jae Eun;Lee, Myoung Hee;Oh, Ki Won;Kim, Sungup;Oh, Eunyoung;Ha, Tae Joung;Cho, Kwang-Soo;Jung, Chan Sik;Kim, Jung In
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.66 no.3
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    • pp.248-255
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    • 2021
  • This study was conducted to obtain basal information for the development of perilla cultivars with improved quality. The F7 population of recombinant inbred lines (RILs) from a cross between the parents of Daesil for seeds and Ipdeulkkae1 for vegetables was used as the material. We evaluated several agricultural characteristics and seed quality. Variations were observed in most of the measurements; for example, stem length (ranging from 66.0 to 150.0 cm), number of branches (from 5 to 23), flower cluster length (ranging from 5.1 to 10.5 cm), number of flower clusters (from 17 to 131), a-linolenic acid content (from 54.2 to 64.1%), and functional compound content (rosmarinic acid 869.5~3,508.1 ㎍/g; luteolin 47.4~864.3 ㎍/g; apigenin 57.1~296.7 ㎍/g) all showed variation. Significant correlations between stem length and the number of branches (0.561) and number of branches versus number of flower clusters (0.638) were detected in the RIL F7 population. Most agricultural characteristics and seed qualities showed a normal distribution with large variation, and transgressive segregation was observed in many descendants with characteristics to those of their parents. Daesil/Ipdeulkkae1 RIL F7 populations could be useful for future QTL analysis as well as for intermediate breeding lines for high-quality perilla cultivars.