A reappraisal of stem reserve contribution to grain yield in spring barley (<i>Hordeum vulgare</i> L.)

Daniels, R. W.; Alcock, M. B.; Scarisbrick, D. H.

doi:10.1017/s0021859600041897

Cited by 40 publications

(22 citation statements)

References 10 publications

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“…As reported by Daniels et al (1982), grain yields and stem dry weight are positively correlated in barley, thus pointing to the importance of alternative carbohydrate storage pools in the analysis of source-sink interactions. The presented modeling framework forms the basis for future studies on adequate nutrient partitioning among plant organs, the optimization of which is one of the most important breeding strategies for grasses in order to increase harvest index (Reynolds et al, 2011).…”

Section: Sink-to-source Transition Of the Barley Stemsupporting

confidence: 58%

Multiscale Metabolic Modeling: Dynamic Flux Balance Analysis on a Whole-Plant Scale

et al. 2013

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Plant metabolism is characterized by a unique complexity on the cellular, tissue, and organ levels. On a whole-plant scale, changing source and sink relations accompanying plant development add another level of complexity to metabolism. With the aim of achieving a spatiotemporal resolution of source-sink interactions in crop plant metabolism, a multiscale metabolic modeling (MMM) approach was applied that integrates static organ-specific models with a whole-plant dynamic model. Allowing for a dynamic flux balance analysis on a whole-plant scale, the MMM approach was used to decipher the metabolic behavior of source and sink organs during the generative phase of the barley (Hordeum vulgare) plant. It reveals a sink-to-source shift of the barley stem caused by the senescence-related decrease in leaf source capacity, which is not sufficient to meet the nutrient requirements of sink organs such as the growing seed. The MMM platform represents a novel approach for the in silico analysis of metabolism on a whole-plant level, allowing for a systemic, spatiotemporally resolved understanding of metabolic processes involved in carbon partitioning, thus providing a novel tool for studying yield stability and crop improvement.

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Section: Sink-to-source Transition Of the Barley Stemsupporting

confidence: 58%

Multiscale Metabolic Modeling: Dynamic Flux Balance Analysis on a Whole-Plant Scale

et al. 2013

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“…Under dryland conditions, the relative contribution of pre-anthesis and post-anthesis assimilate would be expected to vary with season and sowing date and is dependent on the level of water and N stress at key developmental stages. For unstressed barley crops, post-anthesis assimilate is usually the dominant source for grain growth (Daniels et al 1982;Bonnett & Incoll 1992). Field experiments with winter barley have shown a total stem (excluding the leaves) New Zealand Journal of Crop and Horticultural Science, 1996, Vol.…”

Section: Introductionmentioning

confidence: 99%

Effect of sowing date and nitrogen on dry matter and nitrogen partitioning in malting barley

Ruiter

Brooking

1996

New Zealand Journal of Crop and Horticultural Science

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Variation in yield and quality of malting barley (Hordeum vulgare L. 'Triumph') are major problems for both producers and processors in the Manawatu, New Zealand. Climatic variation is partially responsible for this. However, crop management options may enable the variation to be reduced. The effects of sowing date and nitrogen (N) fertiliser on yield and quality of malting barley were evaluated over two seasons. In 1987/88, a grain yield of 7.0 t/ha was achieved with optimal management. Yields in 1988/89 were approximately half those in the previous season because of drier conditions during grain filling and a greater incidence of disease. N uptake was lower in the second season, but this did not result in lower grain N content and, therefore, improved quality because dry matter (DM) yield was also lower. Grain N concentrations were significantly higher in the late sowings in both seasons. Differences in grain N concentrations were related to the timing of N accumulation in the plant. Over all sowings, the contribution of post-anthesis N uptake relative to total grain N was negatively related to grain N concentration (r =-0.78). This indicated that late N uptake may not always be detrimental to quality as the processes of carbon and N accumulation are closely linked during grain filling. The maintenance of green leaf area by fungal disease control or timely irrigation is considered important for maintaining high grain quality as these prolong the accumulation of DM during grain filling.

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“…2 and 5), which has implications for plant yield (Daniels et al, 1982;Schnyder, 1993;Blum, 1998). Reduced root respiration due to RCS was more important in potassium-deficient plants compared with nitrogen-or phosphorus-deficient plants (Fig.…”

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confidence: 98%

Root Cortical Senescence Improves Growth under Suboptimal Availability of N, P, and K

et al. 2017

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Root cortical senescence (RCS) in Triticeae reduces nutrient uptake, nutrient content, respiration, and radial hydraulic conductance of root tissue. We used the functional-structural model SimRoot to evaluate the functional implications of RCS in barley (Hordeum vulgare) under suboptimal nitrate, phosphorus, and potassium availability. The utility of RCS was evaluated using sensitivity analyses in contrasting nutrient regimes. At flowering (80 d), RCS increased simulated plant growth by up to 52%, 73%, and 41% in nitrate-, phosphorus-, and potassium-limiting conditions, respectively. Plants with RCS had reduced nutrient requirement of root tissue for optimal plant growth, reduced total cumulative cortical respiration, and increased total carbon reserves. Nutrient reallocation during RCS had a greater effect on simulated plant growth than reduced respiration or nutrient uptake. Under low nutrient availability, RCS had greater benefit in plants with fewer tillers. RCS had greater benefit in phenotypes with fewer lateral roots at low nitrate availability, but the opposite was true in low phosphorus or potassium availability. Additionally, RCS was quantified in field-grown barley in different nitrogen regimes. Field and virtual soil coring simulation results demonstrated that living cortical volume per root length (an indicator of RCS) decreased with depth in younger plants, while roots of older plants had very little living cortical volume per root length. RCS may be an adaptive trait for nutrient acquisition by reallocating nutrients from senescing tissue and secondarily by reducing root respiration. These simulated results suggest that RCS merits investigation as a breeding target for enhanced soil resource acquisition and edaphic stress tolerance.

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A reappraisal of stem reserve contribution to grain yield in spring barley (Hordeum vulgare L.)

Cited by 40 publications

References 10 publications

Multiscale Metabolic Modeling: Dynamic Flux Balance Analysis on a Whole-Plant Scale

Multiscale Metabolic Modeling: Dynamic Flux Balance Analysis on a Whole-Plant Scale

Effect of sowing date and nitrogen on dry matter and nitrogen partitioning in malting barley

Root Cortical Senescence Improves Growth under Suboptimal Availability of N, P, and K

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