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Wu A, Truong SH, McCormick R, van Oosterom EJ, Messina CD, Cooper M, Hammer GL. Contrasting leaf-scale photosynthetic low-light response and its temperature dependency are key to differences in crop-scale radiation use efficiency. THE NEW PHYTOLOGIST 2024; 241:2435-2447. [PMID: 38214462 DOI: 10.1111/nph.19537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/31/2023] [Indexed: 01/13/2024]
Abstract
Radiation use efficiency (RUE) is a key crop adaptation trait that quantifies the potential amount of aboveground biomass produced by the crop per unit of solar energy intercepted. But it is unclear why elite maize and grain sorghum hybrids differ in their RUE at the crop level. Here, we used a non-traditional top-down approach via canopy photosynthesis modelling to identify leaf-level photosynthetic traits that are key to differences in crop-level RUE. A novel photosynthetic response measurement was developed and coupled with use of a Bayesian model fitting procedure, incorporating a C4 leaf photosynthesis model, to infer cohesive sets of photosynthetic parameters by simultaneously fitting responses to CO2 , light, and temperature. Statistically significant differences between leaf photosynthetic parameters of elite maize and grain sorghum hybrids were found across a range of leaf temperatures, in particular for effects on the quantum yield of photosynthesis, but also for the maximum enzymatic activity of Rubisco and PEPc. Simulation of diurnal canopy photosynthesis predicted that the leaf-level photosynthetic low-light response and its temperature dependency are key drivers of the performance of crop-level RUE, generating testable hypotheses for further physiological analysis and bioengineering applications.
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Affiliation(s)
- Alex Wu
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
- Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
| | - Sandra Huynh Truong
- Predictive Agriculture, Research & Development, Corteva Agriscience, Johnston, IA, 50131, USA
| | - Ryan McCormick
- Predictive Agriculture, Research & Development, Corteva Agriscience, Johnston, IA, 50131, USA
- Gro Intelligence, New York, NY, 10022, USA
| | - Erik J van Oosterom
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
- Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
| | - Carlos D Messina
- Predictive Agriculture, Research & Development, Corteva Agriscience, Johnston, IA, 50131, USA
- Horticultural Sciences Department, University of Florida, Gainesville, FL, 32611, USA
| | - Mark Cooper
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
- Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
| | - Graeme L Hammer
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
- Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
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Mubarak ANM, Mufeeth Mohammathu MM, Kumara ADNT. Will future maize improvement programs leverage the canopy light-interception, photosynthetic, and biomass capacities of traditional accessions? PeerJ 2023; 11:e15233. [PMID: 37131994 PMCID: PMC10149054 DOI: 10.7717/peerj.15233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 03/24/2023] [Indexed: 05/04/2023] Open
Abstract
Maize germplasm has greater latent potential to address the global food and feed crisis because of its high radiation, water and nutrient efficiencies. Photosynthetic and canopy architectural traits in maize are important in determining yield. The present study aimed to screen a subset of local maize accessions in Sri Lanka to evaluate their photosynthetic, biomass and yield related traits and to identify resource efficient germplasm. Experiments were carried out in the Ampara district of Sri Lanka. Eight maize accessions viz; SEU2, SEU6, SEU9, SEU10, SEU14, SEU15, SEU17 and SEU17 and two elite F1 cultivars (cv. Pacific-999 and cv. Bhadra) were analyzed under field conditions. Our results showed that maize genotypes produced a lower leaf area index (LAI) at the third and tenth week after field planting (WAP). However, the LAI was significantly increased in six WAP by Pacific-999, SEU2, SEU9, and SEU15. A similar trend was observed for percentage of light interception at three WAP (47%), six WAP (>64%), and decreased at 10 WAP. In addition, LAI maximum values were between 3.0 and 3.5, allowing 80% of the incident light to be intercepted by maize canopies. The estimated light extinction coefficient (k) remained lower (<0.5), suggesting that maize leaves are eractophilic canopies. Although fractional interception (f) varies, SEU2 and SEU9 had the highest values (0.57), and quantum yields of PSII (>0.73) in dark-adapted leaves. In addition, Pacific-999, SEU2, SEU9, and SEU17 had significantly higher rates of photosynthesis with minimal stomatal conductance and transpiration rates. As a result, they outperformed the control plants in terms of biomass, cob weight and grain yield. This suggests that native maize germplasm could be introduced as novel, less resource-intensive cultivars to sustain global food security.
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Lacasa J, Ciampitti IA, Amas JI, Curín F, Luque SF, Otegui ME. Breeding effects on canopy light attenuation in maize: a retrospective and prospective analysis. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:1301-1311. [PMID: 34939088 DOI: 10.1093/jxb/erab503] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 11/15/2021] [Indexed: 06/14/2023]
Abstract
The light attenuation process within a plant canopy defines energy capture and vertical distribution of light and nitrogen (N). The vertical light distribution can be quantitatively described with the extinction coefficient (k), which associates the fraction of intercepted photosynthetically active radiation (fPARi) with the leaf area index (LAI). Lower values of k correspond to upright leaves and homogeneous vertical light distribution, increasing radiation use efficiency (RUE). Yield gains in maize (Zea mays L.) were accompanied by increases in optimum plant density and leaf erectness. Thus, the yield-driven breeding programs and management changes, such as reduced row spacing, selected a more erect leaf habit under different maize production systems (e.g., China and the USA). In this study, data from Argentina revealed that k decreased at a rate of 1.1% year-1 since 1989, regardless of plant density and in agreement with Chinese reports (1.0% year-1 since 1981). A reliable assessment of changes in k over time is critical for predicting (i) modifications in resource use efficiency (e.g. radiation, water, and N), improving estimations derived from crop simulation models; (ii) differences in productivity caused by management practices; and (iii) limitations to further exploit this trait with breeding.
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Affiliation(s)
- Josefina Lacasa
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Science Center, Manhattan, KS, USA
- Dpto. de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453 (C1417DSE), Ciudad de Buenos Aires, Argentina
| | - Ignacio A Ciampitti
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Science Center, Manhattan, KS, USA
| | - Juan I Amas
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) en INTA, Centro Regional Buenos Aires Norte, Estación Experimental Agropecuaria, Ruta 32 km 4.5, Pergamino (C2700), Provincia de Buenos Aires, Argentina
| | - Facundo Curín
- Centro de Investigaciones y Transferencia del noroeste de la Provincia de Buenos Aires (CIT-NOBA-CONICET), Argentina
| | - Sergio F Luque
- Cátedra de Cereales y Oleaginosas, Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - María E Otegui
- Dpto. de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453 (C1417DSE), Ciudad de Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) en INTA, Centro Regional Buenos Aires Norte, Estación Experimental Agropecuaria, Ruta 32 km 4.5, Pergamino (C2700), Provincia de Buenos Aires, Argentina
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