Analysis and simulation of phenotypic plasticity for traits contributing to yield potential in twelve rice genotypes

Kumar, Uttam; Laza, M.; Soulié, Jean-Christophe; Pasco, Richard; Mendez, Kharla V.S.; Dingkuhn, Michaël

doi:10.1016/j.fcr.2016.04.037

Cited by 35 publications

(25 citation statements)

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“…We observed that some simple morphological traits such as flag leaf size and panicle sink size, here used to calculate a proxy parameter for local source–sink ratio, affect photosynthetic (Figure ) and even grain yield response (Figure b) to e‐CO 2 under controlled conditions. These traits and their phenotypic plasticity, as well as the plasticity of tillering (Kikuchi et al, ), can be simulated by some crop models, for example, Kumar et al and .…”

Section: Discussionmentioning

confidence: 99%

“…This is also in line with Kikuchi et al, 2017, who observed that rice genotypes with high tillering capacity respond strongly to e-CO 2 conditions. Tillering in rice is known to be highly plastic and largely resource driven (Kumar et al, 2016(Kumar et al, , 2017, and plant C supplydemand ratio is used to predict tillering in several crop models (Luquet, Dingkuhn, Kim, Tambour, & Clément-Vidal, 2006). The plasticity of the panicle sink is also related to branching of the rachis, which generates new spikelet positions.…”

Section: Impact On Dry Matter Accumulation and Grain Yieldmentioning

confidence: 99%

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Genotypic variation in source and sink traits affects the response of photosynthesis and growth to elevated atmospheric CO₂

Fabre

Dingkuhn

Yin

et al. 2020

Plant Cell & Environment

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This study aimed to understand the response of photosynthesis and growth to e‐CO2 conditions (800 vs. 400 μmol mol−1) of rice genotypes differing in source–sink relationships. A proxy trait called local C source–sink ratio was defined as the ratio of flag leaf area to the number of spikelets on the corresponding panicle, and five genotypes differing in this ratio were grown in a controlled greenhouse. Differential CO2 resources were applied either during the 2 weeks following heading (EXP1) or during the whole growth cycle (EXP2). Under e‐CO2, low source–sink ratio cultivars (LSS) had greater gains in photosynthesis, and they accumulated less nonstructural carbohydrate in the flag leaf than high source–sink ratio cultivars (HSS). In EXP2, grain yield and biomass gain was also greater in LSS probably caused by their strong sink. Photosynthetic capacity response to e‐CO2 was negatively correlated across genotypes with local C source–sink ratio, a trait highly conserved across environments. HSS were sink‐limited under e‐CO2, probably associated with low triose phosphate utilization (TPU) capacity. We suggest that the local C source–sink ratio is a potential target for selecting more CO2‐responsive cultivars, pending validation for a broader genotypic spectrum and for field conditions.

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Section: Discussionmentioning

confidence: 99%

Section: Impact On Dry Matter Accumulation and Grain Yieldmentioning

confidence: 99%

Genotypic variation in source and sink traits affects the response of photosynthesis and growth to elevated atmospheric CO₂

Fabre

Dingkuhn

Yin

et al. 2020

Plant Cell & Environment

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“…These traits and their phenotypic plasticity, as well as the plasticity of tillering 495 (Kikuchi et al, 2017), can be simulated by some crop models, e.g. (Kumar et al, 2016(Kumar et al, , 2017. 496 497 Feedback effects of sink limitation on photosynthesis may in part explain why inconsistencies 498 are sometimes observed when simulating photosynthetic capacity (Lombardozzi et al, 2017(Lombardozzi et al, , 499 2018Fatichi et al, 2019).…”

Section: Implications For Crop Modelling and Phenotyping 489mentioning

confidence: 99%

Genotypic variation in morphological source and sink traits affects the response of rice photosynthesis and growth to elevated atmospheric CO₂

Fabre

Dingkuhn

Yin

et al. 2019

Preprint

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HighlightRice local carbon source-sink ratio and sink plasticity can drive genotypic responses of leaf photosynthesis and plant production in a CO 2 elevation context. AbstractThis study aimed to understand the response of photosynthesis and growth to e-CO 2 conditions (800 vs. 400 µmol mol -1 ) of rice genotypes differing in source-sink relationships.A proxy trait called local C source-sink ratio was defined as the ratio of flag leaf area over the number of spikelets on the corresponding panicle, and five genotypes differing in this ratio were grown in a controlled greenhouse. Differential CO 2 resources were applied either during the two weeks following heading (EXP1) or during the whole growth cycle (EXP2). Under e-CO 2 , low source-sink ratio cultivars (LSS) had greater gains in photosynthesis, and they accumulated less nonstructural carbohydrate in the flag leaf than high source-sink ratio cultivars (HSS). In EXP2, grain yield and biomass gain was also greater in LSS probably caused by their strong sink. Photosynthetic capacity response to e-CO 2 was negatively correlated across genotypes with local C source-sink ratio, a trait highly conserved across environments. HSS were sink-limited under e-CO 2 , probably associated with low triose phosphate utilization (TPU) capacity. We suggest that the local C source-sink ratio is a potential target for selecting more CO 2 -responsive cultivars, pending validation for a broader genotypic spectrum and for field conditions.

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“…However, crop species or genotypes that are least sensitive to differences in population density and length of growing season are the most sensitive to changes in nutrient status [12,22]. Sustained grain set mediated by large spike fertility index is paramount in maintaining yield potential under abiotic stress [8,51]; however, higher population density reduces both the number of floret primordia initiated and floret survival [32,64]; agronomically, this leads to the typical reaction of reduced individual spike fertility, as inferred from its PP, PCV, and GCV (Table 2). This reaction was attributed [73] to delayed spike growth that can be caused by a low red-to-far red ratio in the crop canopy [16].…”

Section: Abiotic Stress Treatmentsmentioning

confidence: 99%

“…The most direct method of estimating PP was used in the current study and it was based on the normalized variation of the phenotype (i.e., by expressing a trait value under stress as a ratio of its value under no-stress treatment and it can range from 0.0% to 100%) [49][50][51]. However, the PP estimation method that was used in the current research returns results that are equivalent to those obtained by a common method to quantify PP, which involves models of phenotype vs. environment, where the parameter estimates of the functions are taken as a measure of plasticity [38].…”

Section: Estimation Of Phenotypic Plasticitymentioning

confidence: 99%

Statistical Modeling of Phenotypic Plasticity under Abiotic Stress in Triticum durum L. and Triticum aestivum L. Genotypes

Jaradat

2018

Agronomy

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Future challenges to the role of durum and bread wheat in global food security will be shaped by their potential to produce larger yields and better nutritional quality, while increasingly adapting to multiple biotic and abiotic stresses in the view of global climate change. There is a dearth of information on comparative assessment of phenotypic plasticity in both wheat species under long-term multiple abiotic stresses. Phenotypic plasticities of two durum and bread wheat genotypes were assessed under increasing abiotic and edaphic stresses for six years. Combinations of normal and reduced length of growing season and population density, with or without rotation, generated increasing levels of competition for resources and impacted phenotypic plasticity of several plant and yield attributes, including protein and micronutrients contents. All the phenotypic plasticity (PPs) estimates, except for the C:N ratio in both genotypes and grain protein content in T. aestivum genotype, were impacted by abiotic stresses during the second stress phase (PS II) compared with the first (PS I); whereas, covariate effects were limited to a few PPs (e.g., biomass, population density, fertile tillers, grain yield, and grain protein content). Discrimination between factor levels decreased from abiotic phases > growth stages > stress treatments and provided selection criteria of trait combinations that can be positively resilient under abiotic stress (e.g., spike harvest and fertility indices combined with biomass and grain yield in both genotypes). Validation and confirmatory factor models and multiway cluster analyses revealed major differences in phenotypic plasticities between wheat genotypes that can be attributed to differences in ploidy level, length of domestication history, or constitutive differences in resources allocation. Discriminant analyses helped to identify genotypic differences or similarities in the level of trait decoupling in relation to the strength of their correlation and heritability estimates. This information is useful in targeted improvement of traits directly contributing to micronutrient densities, yield components, and yield. New wheat ideotype(s) can be designed for larger grain yield potential under abiotic stress by manipulating yield components that affect kernels m −2 (e.g., number of tillers, number of florets per spikelet, and eventually spike fertility and harvest indices) without impacting nutrient densities and kernel weight, thus raising harvest index beyond its current maximum.

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Analysis and simulation of phenotypic plasticity for traits contributing to yield potential in twelve rice genotypes

Cited by 35 publications

References 36 publications

Genotypic variation in source and sink traits affects the response of photosynthesis and growth to elevated atmospheric CO₂

Genotypic variation in source and sink traits affects the response of photosynthesis and growth to elevated atmospheric CO₂

Genotypic variation in morphological source and sink traits affects the response of rice photosynthesis and growth to elevated atmospheric CO₂

Statistical Modeling of Phenotypic Plasticity under Abiotic Stress in Triticum durum L. and Triticum aestivum L. Genotypes

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Analysis and simulation of phenotypic plasticity for traits contributing to yield potential in twelve rice genotypes

Cited by 35 publications

References 36 publications

Genotypic variation in source and sink traits affects the response of photosynthesis and growth to elevated atmospheric CO2

Genotypic variation in source and sink traits affects the response of photosynthesis and growth to elevated atmospheric CO2

Genotypic variation in morphological source and sink traits affects the response of rice photosynthesis and growth to elevated atmospheric CO2

Statistical Modeling of Phenotypic Plasticity under Abiotic Stress in Triticum durum L. and Triticum aestivum L. Genotypes

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Product

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Genotypic variation in source and sink traits affects the response of photosynthesis and growth to elevated atmospheric CO₂

Genotypic variation in source and sink traits affects the response of photosynthesis and growth to elevated atmospheric CO₂

Genotypic variation in morphological source and sink traits affects the response of rice photosynthesis and growth to elevated atmospheric CO₂