Effect of Seed Coating Polymer and Micronutrients on Stomatal Conductance and Resistance at Different Growth Stages of Pigeonpea

Handiganoor, Mallikarjun G.; Patil, S. B.; Vasudevan, Naveen Kumar

doi:10.9734/air/2018/42837

Cited by 2 publications

(1 citation statement)

References 8 publications

(8 reference statements)

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“…The SC-1 leaf porometer calibration was used due to its ability to measure leaf conductance rates whilst taking the surrounding environmental conditions into account. Stomatal conductance is the measure of gaseous exchange (i.e., carbon dioxide intake) and transpiration (i.e., water vapour loss) through the leaf stomata, and is a function of the density, size, and degree of opening of stomata [56]. Leaves with open stomata allow for greater conductance and, consequently, indicate potentially high photosynthesis and transpiration rates, while closed leaf pores indicate potential plant stress.…”

Section: Field Data Collection Sampling and Surveymentioning

confidence: 99%

Estimation of Maize Foliar Temperature and Stomatal Conductance as Indicators of Water Stress Based on Optical and Thermal Imagery Acquired Using an Unmanned Aerial Vehicle (UAV) Platform

Brewer

Clulow

Sibanda

et al. 2022

Drones

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Climatic variability and extreme weather events impact agricultural production, especially in sub-Saharan smallholder cropping systems, which are commonly rainfed. Hence, the development of early warning systems regarding moisture availability can facilitate planning, mitigate losses and optimise yields through moisture augmentation. Precision agricultural practices, facilitated by unmanned aerial vehicles (UAVs) with very high-resolution cameras, are useful for monitoring farm-scale dynamics at near-real-time and have become an important agricultural management tool. Considering these developments, we evaluated the utility of optical and thermal infrared UAV imagery, in combination with a random forest machine-learning algorithm, to estimate the maize foliar temperature and stomatal conductance as indicators of potential crop water stress and moisture content over the entire phenological cycle. The results illustrated that the thermal infrared waveband was the most influential variable during vegetative growth stages, whereas the red-edge and near-infrared derived vegetation indices were fundamental during the reproductive growth stages for both temperature and stomatal conductance. The results also suggested mild water stress during vegetative growth stages and after a hailstorm during the mid-reproductive stage. Furthermore, the random forest model optimally estimated the maize crop temperature and stomatal conductance over the various phenological stages. Specifically, maize foliar temperature was best predicted during the mid-vegetative growth stage and stomatal conductance was best predicted during the early reproductive growth stage. Resultant maps of the modelled maize growth stages captured the spatial heterogeneity of maize foliar temperature and stomatal conductance within the maize field. Overall, the findings of the study demonstrated that the use of UAV optical and thermal imagery, in concert with prediction-based machine learning, is a useful tool, available to smallholder farmers to help them make informed management decisions that include the optimal implementation of irrigation schedules.

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Section: Field Data Collection Sampling and Surveymentioning

confidence: 99%

Estimation of Maize Foliar Temperature and Stomatal Conductance as Indicators of Water Stress Based on Optical and Thermal Imagery Acquired Using an Unmanned Aerial Vehicle (UAV) Platform

Brewer

Clulow

Sibanda

et al. 2022

Drones

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Effect of Seed Polymerization with Micronutrients on Seed Yield and Quality in Biofortified Genotypes of Pearl Millet [Pennisetum glaucum (L.)]

Patil¹,

Patil²

2021

Int.J.Curr.Microbiol.App.Sci

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Effect of Seed Coating Polymer and Micronutrients on Stomatal Conductance and Resistance at Different Growth Stages of Pigeonpea

Abstract: Aim:The study aims to evaluate the effect of seed coating polymer and micronutrients on stomatal conductance and resistance at different growth stages of pigeonpea.

Cited by 2 publications

References 8 publications

Estimation of Maize Foliar Temperature and Stomatal Conductance as Indicators of Water Stress Based on Optical and Thermal Imagery Acquired Using an Unmanned Aerial Vehicle (UAV) Platform

Estimation of Maize Foliar Temperature and Stomatal Conductance as Indicators of Water Stress Based on Optical and Thermal Imagery Acquired Using an Unmanned Aerial Vehicle (UAV) Platform

Effect of Seed Polymerization with Micronutrients on Seed Yield and Quality in Biofortified Genotypes of Pearl Millet [Pennisetum glaucum (L.)]

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