Carbohydrates Accumulation and Remobilization in Wheat Plants as Influenced by Combined Waterlogging and Shading Stress During Grain Filling

Li, H.; Cai, Jian; Jiang, Dong; Liu, Fulai; Dai, Tingbo; Cao, Weixing

doi:10.1111/j.1439-037x.2012.00532.x

Cited by 38 publications

(50 citation statements)

References 36 publications

(78 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this study, accumulation of NSC ranged from 0.753 to 1.35 g hill −1 in the leaf lamina and from 6.9 to 10.5 g hill −1 in the stem plus sheath at the heading stage (Table 6). This is in accordance with the results of Li et al (2013), who reported that the stem plus sheath of cereal crops comprise the major storage site of NSC. Mass of the leaf lamina and the stem plus sheath gradually declined from the heading to maturity, while both mass and NSC accumulation in the panicle rapidly increased (Tables 5 and 6), suggesting a massive remobilization of NSC from vegetative parts to the kernels of rice ( Table 7).…”

Section: Discussionsupporting

confidence: 93%

Polyaspartate Urea and Nitrogen Management Affect Nonstructural Carbohydrates and Yield of Rice

et al. 2016

View full text Add to dashboard Cite

In rice (Oryza sativa L.), nonstructural carbohydrates (NSC) play an important role in grain yield. To investigate the effects of urea type (polyaspartate urea versus conventional urea) and N management method (farmer's fertilizer practice and optimized N management) on NSC accumulation and remobilization in rice, field experiments were conducted in Wenjiang, China, in 2014 and 2015. Grain yield, effective panicles, and total number of spikelets were positively related to NSC accumulation in aboveground parts and remobilization of stored NSC (RSN) in the stem plus sheath from 20 d after heading to maturity. Polyaspartate urea, in place of conventional urea, increased NSC accumulation in the leaf lamina and the stem plus sheath at the heading stage and promoted RSN in the stem plus sheath from 20 d after heading to maturity, improving grain yield and total aboveground biomass. Compared with farmer's fertilizer practice, optimized N management showed a 5% reduction in NSC accumulation in the stem plus sheath from planting to heading and a 22% decrease in RSN in the stem plus sheath from heading to 20 d after. Optimized N management increased RSN in the stem plus sheath from 20 d after heading to maturity, increasing NSC accumulation in the panicle and grain yield. Using polyaspartate urea with optimized N management may indeed be a practical and feasible way to enhance grain yield of rice in subtropical humid monsoon climates.

show abstract

Section: Discussionsupporting

confidence: 93%

Polyaspartate Urea and Nitrogen Management Affect Nonstructural Carbohydrates and Yield of Rice

et al. 2016

View full text Add to dashboard Cite

show abstract

“…It can be speculated that the shortened grain filling period in combination with a reduced grain filling rate was the critical yield limiting factor, because late waterlogged plants immediately started maturing after beginning of the waterlogging treatment, and at the end of the waterlogging period, they were nearly completely senescent. The grain filling rate depends on the availability of photosynthesis assimilates and the capacity of remobilizing carbohydrate reserves from vegetative organs (Li et al, ). Under waterlogging, photosynthesis rate is reduced due to decreasing enzyme activities (Yordanova & Popova, ), a declined CO 2 ‐concentration within the tissue (because of closed stomata to avoid water loss via transpiration; Yordanova et al, ) and nutrient deficiencies (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Mg which is important in several photosynthetic processes; Farhat et al, ). Declined photosynthesis and energy deficit lead to a limited accumulation and transport of carbohydrates into the grains (Li et al, ), which explains reduced thousand kernel weight. Also, Jiang et al .…”

Section: Discussionmentioning

confidence: 99%

Nutrient deficiencies do not contribute to yield loss after waterlogging events in winter wheat (Triticum aestivum)

Wollmer

Pitann

Mühling

2018

Annals of Applied Biology

View full text Add to dashboard Cite

Frequent waterlogging increases the risk of possible harvest losses in winter wheat. The aim of this study was to analyse which developmental stage of wheat was impaired by waterlogging and whether yield losses can be explained by nutrient deficiences. A large-scale container experiment was designed to evaluate growth, yield and nutrient status of two wheat cultivars after 14 days of waterlogging at two different developmental stages: DC 31 (first node visible) and DC 51 (beginning of ear emergence). Early waterlogging treatment impaired vegetative growth stages of winter wheat and nutrient uptake, leading to transient nutrient deficiencies, but yield was not significantly reduced. Late waterlogging at the beginning of ear emergence mainly affected generative growth stages and caused yield reductions ranging up to 61%. The main reason for yield loss was the significantly decreased thousand kernel weight in combination with a decreased number of grains per spike. Yield depressions in winter wheat depend on the timing of waterlogging. Early waterlogging transiently reduces vegetative growth through nutrient deficiencies, whereas late waterlogging results in an impaired grain development and associated therewith, yield losses. Nutrient deficiencies do not contribute to yield loss after waterloggingA.-C. Wollmer et al.

show abstract

“…The STICS yield parameter vitircarb t is the main parameter in the model that can be involved in the overestimation of the final yield and as a consequence to an overestimation of the grain weight for the shade treatment by inducing a high partitioning rate of the aboveground biomass to the grain. In fact, this parameter has been fixed to 6.5.10 −4 whatever the light treatment, while in the field, several studies have shown that after anthesis this partitioning can be highly variable and depends on environmental conditions (Li et al, 2013;Wheeler et al, 1996). For the season 2015-16, the predicted final yield is bounded: although the number of grains was satisfactorily predicted, final yield was overestimated by using the same pgrainmaxi value under the three treatments (fixed here at 0.045 g).…”

Section: Model Calibration and Evaluationmentioning

confidence: 99%

How does STICS crop model simulate crop growth and productivity under shade conditions?

Artru

Dumont

Ruget

et al. 2018

Field Crops Research

View full text Add to dashboard Cite

A B S T R A C TMost crop models have been developed with crops growing under full sunlight conditions and they commonly use daily cumulated global radiation as part of the climatic input data. This approach neglects the spatio-temporal dimension of the light reduction experienced by the crop in agroforestry systems. In this study, we evaluate the ability of the crop model STICS to predict winter wheat (Triticum aestivum L.) growth and yield under three distinct light conditions using field observations from a two year artificial shade experiment. The shade structure induced a continuous shade (CS) treatment characterized by a reduction of the proportion of light during the entire day and a periodic shade (PS) treatment defined by an intermittent shade varying on the plot throughout the day. These two shade conditions were compared to a no shade treatment (NS) receiving 100% of the available light. The model accurately predicted the timing of the grain maturity stage under the PS treatment by reducing the daily global radiation only. A correct prediction of this growth stage in the CS treatment required a decrease of the daily maximum air temperature in addition to the reduction of global radiation. Overall, the model accurately reproduces the total aboveground dry matter dynamics under the CS and NS treatments, but did not simulate the reduction observed under the PS treatment correctly. Three parameters (nbjgrain, cgrain and cgrain vo ) involved in the determination of the number of grains have been calibrated with the NS treatment data and were then used to predict the crop behavior under the shaded treatments. Using this adjusted parameter set, the STICS model gave a good prediction of the grain number under all treatments. Nevertheless, the simulation of final grain yield under the shade treatments was not satisfactory yet, presumably due to an overestimation of the reallocation of the biomass between shoots and grains. Improving the prediction of these reallocation processes is challenging and critical to improve the simulation of crop behavior under fluctuating light environments such as encountered in agroforestry systems.

show abstract

Carbohydrates Accumulation and Remobilization in Wheat Plants as Influenced by Combined Waterlogging and Shading Stress During Grain Filling

Cited by 38 publications

References 36 publications

Polyaspartate Urea and Nitrogen Management Affect Nonstructural Carbohydrates and Yield of Rice

Polyaspartate Urea and Nitrogen Management Affect Nonstructural Carbohydrates and Yield of Rice

Nutrient deficiencies do not contribute to yield loss after waterlogging events in winter wheat (Triticum aestivum)

How does STICS crop model simulate crop growth and productivity under shade conditions?

Contact Info

Product

Resources

About