Photosynthesis by six Portuguese maize cultivars during drought stress and recovery

Carvalho, Ricardo Cruz de; Cunha, Ana; Silva, Jorge Marques da

doi:10.1007/s11738-010-0555-1

Cited by 46 publications

(34 citation statements)

References 52 publications

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“…However, under severe stress conditions a reduction in F v /F m was observed in cowpea. Differential Inhibition of F v /F m in maize cultivars has been reported by Cruz de Carvalho et al (2010), and they attributed this to differences concerning PSII function and susceptibility to photoinhibition amongst the maize varieties. F v /F m ratio reflects the maximal efficiency of excitation energy captured by ''open'' PSII reaction centers.…”

Section: Resultsmentioning

confidence: 89%

“…However internal (metabolic and diffusive) limitations become predominant relative to stomatal limitation as water stress further increases (Galmes et al 2007;Tezara et al 2008;Ghannoum 2009;Lawlor and Tezara 2009). Significant varietal differences in photosynthetic response to water stress have been reported in different crop plants (Subrahmanyam et al 2006;Cruz de Carvalho et al 2010). Differences amongst the varieties in recovery of photosynthesis parameters has also been reported in maize cultivars (Cruz de Carvalho et al 2010).…”

Section: Resultsmentioning

confidence: 94%

“…Significant varietal differences in photosynthetic response to water stress have been reported in different crop plants (Subrahmanyam et al 2006;Cruz de Carvalho et al 2010). Differences amongst the varieties in recovery of photosynthesis parameters has also been reported in maize cultivars (Cruz de Carvalho et al 2010). Ghannoum (2009) opined that the differences in stomatal and non-stomatal contributions to the limitation of photosynthesis could be due to the species-specific differences.…”

Section: Resultsmentioning

confidence: 98%

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Variation in leaf photosynthetic response of rice genotypes to post-anthesis water deficit

Gauthami

Subrahmanyam

Padma

et al. 2014

Ind J Plant Physiol.

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Variation in the response of six diverse rice genotypes to imposed water stress was investigated in terms of leaf photosynthetic traits and leaf water potential measurements (W leaf ) during and following a period of water stress. The W leaf reduced from 0 days up to 6th day of irrigation deprivation and the reduction in W leaf was more pronounced in Swarna and minimum in PA-6201. A gradual recovery in W leaf was observed in all the tested varieties after re-irrigation. Similarly, water stress significantly reduced rate of photosynthesis (P N ), stomatal conductance (g s ), transpiration (E) and internal CO 2 concentration (C i ). Significant differences were noticed amongst the varieties in their response to water stress. The P N partially recovered in all tested varieties after re-irrigation. Vandana recorded greater recovery (65 %), where as the recovery was only 32 % in Sugandha Samba. Water stress (6 days of irrigation deprivation) significantly decreased the mean Chl a, Chlb, total chlorophyll and total carotenoid content. However, a marginal increase in total chlorophyll was observed under water stress in Vandana and N-22. Water stress had no significant effect on maximum photochemical efficiency (F v /F m ) for all the tested varieties. However, in Sugandha Samba and Swarna a significant reduction was noticed. Water stress reduced the efficiency of excitation capture (U e ), in vivo quantum yield of PSII photochemistry (U PSI ), coefficient of photochemical quenching (qP) and increased the coefficient of nonphotochemical quenching (qN). The data on photosynthetic traits and chlorophyll fluorescence parameters indicate that Vandana, N-22, DRR-Dhan-38 and PA-6201 which maintained relatively higher, W leaf , P N and g s under water stress and could also maintain high values of photochemical efficiency (Fv/Fm, U e , U PSI and ETR) than Sugandha Samba and Swarna and the genotypic differences in the response of PSII activity could be exploited as traits for the selection of drought tolerant rice genotypes.

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Section: Resultsmentioning

confidence: 89%

Section: Resultsmentioning

confidence: 94%

Section: Resultsmentioning

confidence: 98%

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Variation in leaf photosynthetic response of rice genotypes to post-anthesis water deficit

Gauthami

Subrahmanyam

Padma

et al. 2014

Ind J Plant Physiol.

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“…The relative contribution of each process is dependent on the physiological status of the photosynthetic systems [25]. In the last few decades, the measurement of Chl fluorescence has become a universal technique in the study of virtually all types of photosynthetic entities, including fruits [26][27][28], corals [29], seagrasses [30], macroalgae [31], microphytobenthos [32][33][34], and many types of higher plants, such as tobacco [35], maize [36], and tomato [37]. The use of Chl fluorescence has been recently proposed for detecting early responses to abiotic and biotic stresses, before a decline in growth can be observed [38][39][40].…”

Section: Chlorophyll Fluorescencementioning

confidence: 99%

“…On the basis of the calculation of the fluorescence index ΔF/F m ′ (where ΔF is the difference between the maximal fluorescence [F m ′] and the steady-state fluorescence [F] of light-adapted samples), which measures the effective quantum yield of PS II [96], PAM fluorometry allows the construction of rapid light curves (RLCs) relating the rate of photosynthetic electron transport and incident photon irradiance [97,98]. PAM was successfully applied to a wide range of plants, such as the olive tree, rosemary, and lavender [99]; Paspalum dilatatum [100], Phillyrea angustifolia [101], and other Mediterranean shrubs [102]; the tropical grass Setaria sphacelata [84] and several C4 turfgrasses [103]; maize [36,104]; and Arabidopsis thaliana [105], among others.…”

Section: Conventional Pulse Amplitude Modulated Fluorescencementioning

confidence: 99%

Monitoring Photosynthesis by In Vivo Chlorophyll Fluorescence: Application to High-Throughput Plant Phenotyping

Silva¹

2016

Applied Photosynthesis - New Progress

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In spite of the decrease in the rate of population growth, world population is expected to rise from the current figure (slightly above to 7.2 billion) to reach 9.6 billion in 2050. There is therefore a pressing need to increase food production. Since most of the best arable lands are already under production, expanding the agricultural areas would have negative impacts on important natural areas. Thereby, increasing the productivity of the current agricultural areas is the chief objective of agronomical planners, and planting more productive and better adapted plant varieties is crucial to achieve it. In fact, plant breeding is at the forefront of concern of both agronomists and plant biologists. Plant breeding is a millenary activity that deeply changed our world. However, the use of molecular biology techniques jointly with informatics capabilities-giving rise to the omics techniquesdeeply accelerated plant breeding, providing new and better plant varieties at an increased pace. The advances in genomics, though, far by-passed the advances in phenomics, and so there is a rising consensus among plant breeders that plant phenotyping is a bottleneck to advancing plant breeding. Therefore, a range of international initiatives in highthroughput plant phenotyping (HTPP) are at course, and new automated equipment is being developed. Phenotyping plants, however, is not a simple matter. To begin with, it has to be decided which parameters to measure in order to extrapolate to the desired goals, plant resistance and plant productivity. For this, as well as for plant breeding, an indepth knowledge of plant physiology is required. Photosynthesis has been considered as a good indicator of overall plant performance. It is the only energy input in plants and thereby impacts all aspects of plant metabolism and physiology. The cumulative rate of photosynthesis over the growing season is the primary determinant of crop biomass. It largely determines the redox state of plant cells, and therefore, it is at the core of regulatory networks. Therefore, assessing photosynthesis and the photosynthetic apparatus plays a core role on plant phenotyping. Nevertheless, high-throughput phenotyping demands very rapid measurements, and consequently the most common method of photosynthesis measurement-the infra-red gas analysis-is not well suited for this purpose. On the contrary, the techniques based on in vivo chlorophyll (Chl) a fluorescence measurements are perfectly fit. In this chapter, an historical perspective on the development of in vivo Chl a measurement is briefly addressed. Then, the state of the art of the fluorescence-based techniques of photosynthesis assessment is presented, and their potential use in HTPP is evaluated. Finally, the current use of these techniques in the main systems of phenotyping is surveyed.

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Effects of mulching and maize cultivars on grain yield and photosynthetic characteristics in the Loess Plateau

Wang

Niu

et al. 2020

Agronomy Journal

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Millions of small farmers rely on maize (Zea mays L.) produced in the Loess Plateau of China. The purpose of this study was to find a fine maize variety in the Check Dam and to reveal the reasons for the effects of white plastic film mulch and maize varieties on crop yield and photosynthetic characteristics. Three maize cultivars (Dafeng 26 [DF], Xianyu 335 [XY], and Tianci 19 [TC]) were grown with and without plastic mulch in 2016 and 2017 in Ansai County, Shaanxi Province, China. Results showed that mulch increased grain yield by 10.5% in 2016 and 11.3% in 2017 across all cultivars. Among all cultivars, XY had the highest grain yield under both mulch and no mulch. Grain yield was significantly correlated with soil water content in the 0-20 cm layer. Soil temperature under mulch decreased with increasing soil depth. On average, mulch increased soil temperature from 0.2 to 1.9 • C over the entire growing season. Photosynthetic characteristics were directly determined for all tested maize cultivars. Grain yield was more closely related to photosynthetic rate in July (r = .828, P = .001; n = 12) than in August (r = .617, P = .032; n = 12). Moreover, grain yield was correlated with stomatal conductance and transpiration rate in July and August (r = .913-.928, P < .001; n = 12). Our findings suggest that photosynthetic characteristics were an important index affecting maize grain yield for small farmers using check dams in the Loess Plateau.

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Photosynthesis by six Portuguese maize cultivars during drought stress and recovery

Cited by 46 publications

References 52 publications

Variation in leaf photosynthetic response of rice genotypes to post-anthesis water deficit

Variation in leaf photosynthetic response of rice genotypes to post-anthesis water deficit

Monitoring Photosynthesis by In Vivo Chlorophyll Fluorescence: Application to High-Throughput Plant Phenotyping

Effects of mulching and maize cultivars on grain yield and photosynthetic characteristics in the Loess Plateau

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