Analyzing the Carbon Partitioning Characteristics and Their Dependence on Leaf Growth Stage in Chinese Chive Using <sup>13</sup>C Tracer Method-Reference-Cited by-同舟云学术

Analyzing the Carbon Partitioning Characteristics and Their Dependence on Leaf Growth Stage in Chinese Chive Using <sup>13</sup>C Tracer Method

Published:2022-01-01 Issue:1 Volume:60 Page:39-42
ISSN:1880-554X
Container-title:Environment Control in Biology
language:en
Short-container-title:Environmental Control in Biology

Author:

YASUTAKE Daisuke¹,NOMURA Koichi²,KOBAYASHI Kaito³,I Kengo⁴,MATSUMOTO Koji⁵,IWAO Tadashige²,MORI Makito⁶,KITANO Masaharu²

Affiliation:

1. Faculty of Agriculture, Kyushu University

2. IoP Collaborative Creation Center, Kochi University

3. Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University

4. Nishiusuki Branch Government Office

5. Chuohigashi Agricultural Promotion Center

6. Faculty of Agriculture and Marine Sciences, Kochi University

Publisher

Japanese Society of Agricultural, Biological and Environmental Engineers and Scientists

Subject

Plant Science,Agronomy and Crop Science

Link

https://www.jstage.jst.go.jp/article/ecb/60/1/60_39/_pdf

Reference19 articles.

1. Ahn, D., Ikeda, H.　2004.　Effects of air temperature on yield and re-growth after harvest of Chinese chive plants cultured in a plastic house. (in Japanese with English abstract) J. Soc. Agric. Struct. Jpn. 3: 257―263.

2. Ahn, D., Ikeda, H.　2006.　Absorption of ¹³CO₂ and subsequent partitioning of labeled photosynthates in Chinese chive before and after harvest. (in Japanese with English abstract) J. Jpn. Soc. Hortic. Sci. 75: 350―354.

3. Araki, T., Kitano, M., Eguchi, T.　1997.　Evaluation of photoassimilate flux through a tomato pedicel. Biotronics 26: 21―29.

4. Chope, G. A., Cools, K., Hammond, J. P., Thompson, A. J., Terry, L. A.　2012.　Physiological, biochemical and transcriptional analysis of onion bulbs during storage. Ann. Bot. 106: 819―831.

5. de Kroon, H., Visser, E. J. W.　2003.　Root Ecology. Springer, Berlin.

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1. Special Issue on “Sensing Technologies of Plant Eco-physiological Information Contributing to Data-driven Smart Agriculture”;Environment Control in Biology;2022-01-01