Crop transformation and the challenge to increase yield potential

Sinclair, Thomas R.; Purcell, Larry C.; Sneller, Clay

doi:10.1016/j.tplants.2003.12.008

Cited by 302 publications

(180 citation statements)

References 40 publications

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“…The technique has a great potential of genetic improvement of various crop plants by integrating in plant biotechnology and breeding programmes. It has a promising role for the introduction of agronomically important traits such as increased yield, better quality and enhanced resistance to pests and diseases [64].…”

Section: Genetic Transformationmentioning

confidence: 99%

Plant Tissue Culture: Current Status and Opportunities

Hussain¹,

Qarshi²,

Nazir³

et al. 2012

Recent Advances in Plant in Vitro Culture

164

111

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Section: Genetic Transformationmentioning

confidence: 99%

Plant Tissue Culture: Current Status and Opportunities

Hussain¹,

Qarshi²,

Nazir³

et al. 2012

Recent Advances in Plant in Vitro Culture

164

111

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“…While it is still controversial whether increasing leaf photosynthesis increases yield (Evans 1993;Sinclair et al 2004), recent studies indicate that growth rate around heading stage is critically related with final yield in rice Horie et al 2006), and that new high-yielding rice cultivars, including both inbred and hybrid cultivars, have higher leaf photosynthetic rates than previously released ones, particularly at heading stage (Ohsumi et al 2007;Peng et al 2008). To examine this issue, it is necessary to identify genetic factors controlling leaf photosynthesis, and to compare yield potential between donor cultivars and nearisogenic lines (NILs) differing only in leaf photosynthetic ability (Zelitch 1982;Long et al 2006;Hubbart et al 2007).…”

Section: Introductionmentioning

confidence: 99%

A Quantitative Trait Locus for Chlorophyll Content and its Association with Leaf Photosynthesis in Rice

Takai

Kondo

Yano

et al. 2010

Rice

116

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Leaf photosynthesis, an important determinant of yield potential in rice, can be estimated from measurements of chlorophyll content. We searched for quantitative trait loci (QTLs) for Soil and Plant Analyzer Development (SPAD) value, an index of leaf chlorophyll content, and assessed their association with leaf photosynthesis. QTL analysis derived from a cross between japonica cultivar Sasanishiki and high-yielding indica cultivar Habataki detected a QTL for SPAD value on chromosome 4. This QTL explained 31% of the total phenotypic variance, and the Habataki allele increased the SPAD value. Chromosomal segment substitution line (CSSL) with the corresponding segment from Habataki had a higher leaf photosynthetic rate and SPAD value than Sasanishiki, suggesting an association between SPAD value and leaf photosynthesis. The CSSL also had a lower specific leaf area (SLA) than Sasanishiki, reflecting its thicker leaves. Substitution mapping under Sasanishiki genetic background demonstrated that QTLs for SPAD value and SLA were co-localized in the 1,798-kb interval. The results suggest that the phenotypes for SPAD value and SLA are controlled by a single locus or two tightly linked loci, and may play an important role in increasing leaf photosynthesis by increasing chlorophyll content or leaf thickness, or both.

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“…For the next 'Green Revolution' to happen, we have to deal with many genes so that they work in concert. Alterations made at the genome level, though substantial, could have little effect on the crop-level phenotypes (Sinclair et al, 2004;Yin and Struik, 2008). Systems biology should not be the privilege of only those working on molecular, sub-cellular or cellular levels.…”

Section: Final Remarksmentioning

confidence: 99%

Modelling Gene-Trait-Crop Relationships: Past Experiences and Future Prospects

Yin¹,

Struik²

2012

Acta Hortic.

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Classical crop models have long been established to understand crop responses to environmental factors, by integrating quantitative functional relationships for various physiological processes. In view of the potential added value of robust crop modelling to classical quantitative genetics, model-input parameters or traits are increasingly considered to represent 'genetic coefficients'. A number of case studies, in which the effects of quantitative trait loci or genes have been incorporated into existing ecophysiological models to replace model-input traits, have shown promise of using models in analyzing genotype-phenotype relationships of more complex crop traits. Studies of functional genomics will increasingly enable the elucidation of the molecular genetic basis of these modelinput traits. To fulfil the great expectations from this integrated modelling, crop models should be upgraded based on understandings at lower organizational levels. The recently proposed 'crop systems biology', which combines modern genomics, traditional physiology and biochemistry, and advanced modelling, is believed ultimately to realize the expected roles of in silico modelling in narrowing genotypephenotype gaps. We will summarise recent research activities and express our opinions on perspectives for modelling genotype-by-environment interactions at crop level.

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Crop transformation and the challenge to increase yield potential

Cited by 302 publications

References 40 publications

Plant Tissue Culture: Current Status and Opportunities

Plant Tissue Culture: Current Status and Opportunities

A Quantitative Trait Locus for Chlorophyll Content and its Association with Leaf Photosynthesis in Rice

Modelling Gene-Trait-Crop Relationships: Past Experiences and Future Prospects

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