Use of thermography for high throughput phenotyping of tropical maize adaptation in water stress

Romano, Giuseppe; Zia, Shamaila; Spreer, Wolfram; Sánchez, C.; Cairns, Jill E.; Araus, José Luís; Müller, Joachim

doi:10.1016/j.compag.2011.08.011

Cited by 100 publications

(84 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…CWSI has been used for assessing the water status of crops，such as grapevine [8,9] , wheat [10] , maize [11] and cotton. The CWSI [12] commonly varied between 0 and 1.…”

Section: Sitementioning

confidence: 99%

Irrigation Decision-making Methods Based on Multi-source Irrigation Information Fusion

Chen¹,

Wang²,

Sun³

et al. 2015

Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015

View full text Add to dashboard Cite

“…CWSI has been used for assessing the water status of crops，such as grapevine [8,9] , wheat [10] , maize [11] and cotton. The CWSI [12] commonly varied between 0 and 1.…”

Section: Sitementioning

confidence: 99%

Irrigation Decision-making Methods Based on Multi-source Irrigation Information Fusion

Chen¹,

Wang²,

Sun³

et al. 2015

Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015

View full text Add to dashboard Cite

“…They are thus able to provide accurate enough information for both assessing plant water status in the field and implementing appropriate irrigation management strategies [4][5][6][7]. The crop water stress index (CWSI), a thermally-derived indicator of water deficit based on leaf/canopy temperature measurements [2] has been used to assess the water status of crops such as grapevines [8], French beans [9], wheat [10], rice [11], maize [12] and cotton [13].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Water Stress in Grapevines Using Proximal and Remote Sensing Methods

et al. 2018

View full text Add to dashboard Cite

Abstract:In light of climate change and its impacts on plant physiology, optimizing water usage and improving irrigation practices play a crucial role in crop management. In recent years, new optical remote sensing techniques have become widespread since they allow a non-invasive evaluation of plant water stress dynamics in a timely manner. Unmanned aerial vehicles (UAV) currently represent one of the most advanced platforms for remote sensing applications. In this study, remote and proximal sensing measurements were compared with plant physiological variables, with the aim of testing innovative services and support systems to farmers for optimizing irrigation practices and scheduling. The experiment, conducted in two vineyards located in Sardinia, Italy, consisted of two regulated deficit irrigation (RDI) treatments and two reference treatments maintained under stress and well-watered conditions. Indicators of crop water status (Crop Water Stress Index-CWSI-and linear thermal index) were calculated from UAV images and ground infrared thermal images and then related to physiological measurements. The CWSI values for moderate water deficit (RDI-1) were 0.72, 0.28 and 0.43 for 'Vermentino', 'Cabernet' and 'Cagnulari' respectively, while for severe (RDI-2) water deficit the values were 0.90, 0.34 and 0.51. The highest differences for net photosynthetic rate (Pn) and stomatal conductance (Gs) between RDI-1 and RDI-2 were observed in 'Vermentino'. The highest significant correlations were found between CWSI with Pn (R = −0.80), with Φ PSII (R = −0.49) and with Fv'/Fm' (R = −0.48) on 'Cagnulari', while a unique significant correlation between CWSI and non-photochemical quenching (NPQ) (R = 0.47) was found on 'Vermentino'. Pn, as well as the efficiency of light use by the photosystem II (PSII), declined under stress conditions and when CWSI values increased. Under the experimental water stress conditions, grapevines were able to recover their efficiency during the night, activating a photosynthetic protection mechanism such as thermal energy dissipation (NPQ) to prevent irreversible damage to the photosystem. The results presented here demonstrate that CWSI values derived from remote and proximal sensors could be valuable indicators for the assessment of the spatial variability of crop water status in Mediterranean vineyards.

show abstract

“…DS was imposed by stopping irrigation before flowering to achieve water deficiency at anthesis stage. This treatment induces mild DS, which increases canopy temperature 1°C to 2°C in the absence of HS (Romano et al, 2011;Zia et al, 2013). However, climate conditions varied slightly between the two years of evaluation.…”

Section: Grain Yield Was Affected By Stress Treatmentsmentioning

confidence: 99%

“…It is possible that metabolic pathways are regulated to meet the metabolic demands under each stress condition, resulting in an additive metabolite profile under stress combination unless the metabolic network is collapsed by severe stress treatments. Given that the naturally feasible stresses are imposed more mildly than typical stress treatments in greenhouse experiments (Romano et al, 2011;Zia et al, 2013), the general metabolic response in stress combination should be considered as the sum of individual stresses in the field. This is also supported by PCA, in which drought and heat contribute the majority of the variance observed in the metabolic data, with principal component 1 separating DS from the WW condition, principal component 2 separating HS from no HS, and DS+HS being separated from the WW condition in an additive fashion.…”

Section: Effects Of Ds+hsmentioning

confidence: 99%

Metabolite profiles of maize leaves in drought, heat and combined stress field trials reveal the relationship between metabolism and grain yield

et al. 2015

Self Cite

View full text Add to dashboard Cite

The development of abiotic stress-resistant cultivars is of premium importance for the agriculture of developing countries. Further progress in maize (Zea mays) performance under stresses is expected by combining marker-assisted breeding with metabolite markers. In order to dissect metabolic responses and to identify promising metabolite marker candidates, metabolite profiles of maize leaves were analyzed and compared with grain yield in field trials. Plants were grown under well-watered conditions (control) or exposed to drought, heat, and both stresses simultaneously. Trials were conducted in 2010 and 2011 using 10 tropical hybrids selected to exhibit diverse abiotic stress tolerance. Drought stress evoked the accumulation of many amino acids, including isoleucine, valine, threonine, and 4-aminobutanoate, which has been commonly reported in both field and greenhouse experiments in many plant species. Two photorespiratory amino acids, glycine and serine, and myoinositol also accumulated under drought. The combination of drought and heat evoked relatively few specific responses, and most of the metabolic changes were predictable from the sum of the responses to individual stresses. Statistical analysis revealed significant correlation between levels of glycine and myoinositol and grain yield under drought. Levels of myoinositol in control conditions were also related to grain yield under drought. Furthermore, multiple linear regression models very well explained the variation of grain yield via the combination of several metabolites. These results indicate the importance of photorespiration and raffinose family oligosaccharide metabolism in grain yield under drought and suggest single or multiple metabolites as potential metabolic markers for the breeding of abiotic stress-tolerant maize.

show abstract

Use of thermography for high throughput phenotyping of tropical maize adaptation in water stress

Cited by 100 publications

References 33 publications

Irrigation Decision-making Methods Based on Multi-source Irrigation Information Fusion

Irrigation Decision-making Methods Based on Multi-source Irrigation Information Fusion

Estimation of Water Stress in Grapevines Using Proximal and Remote Sensing Methods

Metabolite profiles of maize leaves in drought, heat and combined stress field trials reveal the relationship between metabolism and grain yield

Contact Info

Product

Resources

About