e-journal

Can exploiting natural genetic variation in leaf photosynthesis contribute to increasing rice productivity? A simulation analysis

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Rice productivity can be limited by available photosynthetic assimilates from leaves. However, the lack of significant correlation between crop yield and leaf photosynthetic rate (A) is noted frequently. Engineering for improved leaf photosynthesis has been argued to yield little increase in crop productivity because of complicated constraints and feedback mechanisms whenmoving up from leaf to crop level.Herewe examined the
extent to which natural genetic variation in A can contribute to increasing rice productivity. Using the mechanistic model GECROS,we analysed the impact of genetic variation inAon crop biomass production, based on the quantitative trait loci for various photosynthetic components within a rice introgression line population.We showed that genetic variation in Aof 25% can be scaled up equally to crop level, resulting in an increase in biomass of 22–29% across different locations and years. This was probably because the genetic variation in A resulted not only from Rubisco (ribulose 1,5-bisphosphate carboxylase/oxygenase)-limited photosynthesis but also from electron transport-limited photosynthesis; as a result, photosynthetic rates could be improved for both light-saturated and light-limited leaves in the canopy. Rice productivity could be
significantly improved by mining the natural variation in existing germ-plasm, especially the variation in parameters determining light-limited photosynthesis.

Key-words: Oryza sativa L; canopy photosynthesis; crop model; GECROS.

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Informasi Detail

Judul Seri

Plant, Cell and Environment

No. Panggil

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Penerbit

London : JohnWiley & Sons Ltd., 2014

Deskripsi Fisik

Plant, Cell and Environment (2014) 37, 22–34

Bahasa

English

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

BIOLOGI

Info Detail Spesifik

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Pernyataan Tanggungjawab

agus

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