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Plant Production Science Volume 7, 2004 - Issue 1

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Agronomy

Comparison and Standardization among Chlorophyll Meters in their Readings on Rice Leaves

Jianliang HuangCollege of Science, Hunan Agricultural University, Changsha, Hunan, 410128, China

Shaobing PengCrop, Soil and Water Sciences DivisionInternational Rice Research Institute, DAPO Box 7777, Metro Manila, PhilippinesCorrespondence[email protected]

Pages 97-100 | Received 07 Apr 2003, Accepted 22 Jul 2003, Published online: 03 Dec 2015

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https://doi.org/10.1626/pps.7.97

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Jun Liu, Yang Sun, Wenjian Liu, Zifeng Tan, Jingmin Jiang & Yanjie Li. (2021) Association of spectroscopically determined leaf nutrition related traits and breeding selection in Sassafras tzumu. Plant Methods 17:1.
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Kenichi Tatsumi, Yoshiki Kuwabara & Takashi Motobayashi. (2020) Photosynthetic light‐use efficiency of rice leaves under fluctuating incident light. Agrosystems, Geosciences & Environment 3:1.
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Yasuyuki WAKIYAMA. (2016) The Relationship between SPAD Values and Leaf Blade Chlorophyll Content throughout the Rice Development Cycle. Japan Agricultural Research Quarterly: JARQ 50:4, pages 329-334.
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E. Raymond HuntJr.Jr. & Craig S. T. Daughtry. (2014) Chlorophyll Meter Calibrations for Chlorophyll Content Using Measured and Simulated Leaf Transmittances. Agronomy Journal 106:3, pages 931-939.
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Toshiyuki Takai, Motohiko Kondo, Masahiro Yano & Toshio Yamamoto. (2010) A Quantitative Trait Locus for Chlorophyll Content and its Association with Leaf Photosynthesis in Rice. Rice 3:2-3, pages 172-180.
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Tracy S. Hawkins, Emile S. Gardiner & Greg S. Comer. (2009) Modeling the relationship between extractable chlorophyll and SPAD-502 readings for endangered plant species research. Journal for Nature Conservation 17:2, pages 123-127.
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. (2004) Current Awareness in Phytochemical Analysis. Phytochemical Analysis 15:5, pages 331-338.
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