Seed physiological and biochemical traits

Sudhakar, P.; Latha, P.; Reddy, P. R.

doi:10.1016/b978-0-12-804073-7.00002-8

Cited by 24 publications

(30 citation statements)

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“…Success in collecting accurate phenotyping data is intimately connected with heritability of the trait [94]. Broad-sense heritability is a reflection of both the genetic variance and the level of precision that can be achieved within and across trials [95], and sometimes it is termed as repeatability.…”

Section: Repeatability and Applicability Of Remote Sensing Measuremenmentioning

confidence: 99%

UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat

et al. 2019

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Climate change is one of the primary culprits behind the restraint in the increase of cereal crop yields. In order to address its effects, effort has been focused on understanding the interaction between genotypic performance and the environment. Recent advances in unmanned aerial vehicles (UAV) have enabled the assembly of imaging sensors into precision aerial phenotyping platforms, so that a large number of plots can be screened effectively and rapidly. However, ground evaluations may still be an alternative in terms of cost and resolution. We compared the performance of red-green-blue (RGB), multispectral, and thermal data of individual plots captured from the ground and taken from a UAV, to assess genotypic differences in yield. Our results showed that crop vigor, together with the quantity and duration of green biomass that contributed to grain filling, were critical phenotypic traits for the selection of germplasm that is better adapted to present and future Mediterranean conditions. In this sense, the use of RGB images is presented as a powerful and low-cost approach for assessing crop performance. For example, broad sense heritability for some RGB indices was clearly higher than that of grain yield in the support irrigation (four times), rainfed (by 50%), and late planting (10%). Moreover, there wasn't any significant effect from platform proximity (distance between the sensor and crop canopy) on the vegetation indexes, and both ground and aerial measurements performed similarly in assessing yield.2 of 25 principal goal for breeders. Durum wheat is, by extension, the main cereal cultivated on the southern and eastern shores of the Mediterranean Basin and one of the main cereals in southern Europe [4].Yield is a phenotypically complicated trait, not only because of its genetic complexity [5], but also due to the relative magnitude of gene-environment interactions [6,7], and it is one of the most integrative traits influenced by known and unknown factors. Thus, genotype evaluations in multi-environment trials are needed, at least in the advanced (generations) stages of selection. However, the major point at issue is that high-throughput plant phenotyping (HTPP) may still represent a bottleneck in breeding programs [7], owing to the need to increase the accuracy, precision, and throughput of the methodologies used, while reducing costs and minimizing labor [8,9]. Furthermore, HTPP approaches should allow multi-temporal trait-specific measurements to evaluate the yield components at different phenological moments.Nowadays, and almost by definition, HTPP implies the use of non-invasive remote sensing approaches of different nature [5,10], given the possibility of screening larger populations faster than conventional phenotyping procedures. Moreover, recent progress and advances in the technology of aeronautics and sensors have allowed the adoption of unmanned aerial vehicle (UAV) platforms, capable of precisely screening hundreds of plots in a short period of time [7,11]. Further benefits of the simultaneous c...

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Section: Repeatability and Applicability Of Remote Sensing Measuremenmentioning

confidence: 99%

UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat

et al. 2019

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“…Maintenance of seed quality is mandatory for the sale of seed and assuring required plant population and final yields to end-user. Seed lots are evaluated based on their germination capabilities and vigor (Sudhakar et al, 2016). However, many tests used to evaluate seed physiological characteristics require time and skilled labor, making it a costly process (Baranova, 2013;Sudhakar et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Seed lots are evaluated based on their germination capabilities and vigor (Sudhakar et al, 2016). However, many tests used to evaluate seed physiological characteristics require time and skilled labor, making it a costly process (Baranova, 2013;Sudhakar et al, 2016). However, there are simple characteristics, for example, biometric indicators included plant height, length, width, and several leaves.…”

Section: Introductionmentioning

confidence: 99%

Use of New Compounds of the Quinoline Series as Growth and Yield Stimulants of Agricultural Crop

Vostrikova¹,

Калаев²,

Potapov³

et al. 2021

PTQ

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Background: Productivity is increased with breeding techniques and modes for obtaining highly productive cultivars, various agricultural activities, and the use of new technologies for growing planting material. Some of modes to increase productivity are simple. They use different growth stimulants. Many methods were developed to synthesize organic compounds that have stimulating biological activity and can be used as growth stimulants for agricultural crop. Aim: The purpose of this research was to study the effect of synthesized organic compounds of the general formula: 1-alkyl-2,2,4-trimethyl-6-aminocarbothioyl-1,2-dihydroquinoline and 1-alkyl-2,2,4-trimethyl-6-aminocarbothioyl-1,2,3,4-tetrahydroquinoline on growth indicators (by which we meant seed germination and plant height, length, width, and the number of leaves) and the yield of the agricultural crop. Methods: To identify the biological effects of the synthesized organic compounds, morphometric parameters of an annual vegetable crop (Solanum melongena L.) were selected. It is investigated seed germination, growth processes, and yield. Growth processes were studied by biometric indicators. Biometric indicators included the plant height, length, width, and the number of leaves. Results and Discussion: The most effective growth stimulators from compounds of the series 1-alkyl-2,2,4-trimethyl-6-aminocarbothioyl-1,2-dihydroquinoline and 1-alkyl-2,2,4-trimethyl-6-aminocarbothioyl-1,2,3,4-tetrahydroquinoline for common eggplant were revealed. The most effective substances for Solanum melongena are 1,2,2,4-tetramethyl-6-(1-piperidinylcarbothioyl)-1,2,3,4-tetrahydroquinoline hydrochloride and 4-[(1,2,2,4-tetramethyl-1,2-dihydro-6-quinolinyl)carbothioyl]-1-piperazinylcarbaldehyde hydrochloride in tested concentrations (0,01 %; 0,05 % and 0,1 %), as well as the compounds of the general formula: 1-alkyl-2,2,4-trimethyl-6-aminocarbothioyl-1,2,3,4-tetrahydroquinoline in concentrations of 0,05 % and 0,1 %. It was established that the synthesized chemical substances cause stimulation of the eggplant growth compared with existing commercial preparation. Compounds of the series 1-alkyl-2,2,4-trimethyl-6-aminocarbothioyl-1,2- dihydroquinoline and 1-alkyl-2,2,4-trimethyl-6-aminocarbothioil-1,2,3,4-tetrahydroquinoline increase the seed germination of Solanum melongena from 30 to 80 %, the vegetative mass - from 10 to 40 %, yield - from 28 to 46 %. Conclusions: Tetrahydroquinolines are most effective as stimulants of growth processes (and productivity) for common eggplant. Compounds containing a dihydro-6-quinolinyl substituent stimulate the growth and also increase the yield of Solanum melongena. The expediency of quinoline series compounds for the production of vegetable growing is shown. Used growth stimulators increase the adaptive potential of Solanum melongena.

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“…LC-MS has been utilized for the analysis and identification of endogenous components such as proteins, peptides, carbohydrates, DNA, and drugs or metabolites [ 90 ]. Moreover, it has been used widely to perform pharmacokinetic studies of pharmaceuticals due to its shorter analysis time, its high sensitivity, and specificity [91]. It can be used to measure the amount of a drug that got cleared from the plasma and organs in a certain amount of time.…”

Section: Liquid Chromatography-mass Spectrometrymentioning

confidence: 99%

“…The main solvents used in reversed-phase LC coupled with MS is water combined with either methanol or acetonitrile [89]. To improve the ionization of the analyte of interest, mobile phase modifiers can be added into the mobile phase such as ammonium acetate, acetic acid and formic acid [91]. Column with 1.0-or 2.1-mm diameters can be used with low flow rate for higher sensitivities and resolutions [89].…”

Section: Liquid Chromatography-mass Spectrometrymentioning

confidence: 99%

Extended Release of DTPA via Encapsulation into Nanoparticles for the Decorporation of Deposited Radioactive Contaminants in the Lungs

Almalki¹

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Seed physiological and biochemical traits

Cited by 24 publications

References 0 publications

UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat

UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat

Use of New Compounds of the Quinoline Series as Growth and Yield Stimulants of Agricultural Crop

Extended Release of DTPA via Encapsulation into Nanoparticles for the Decorporation of Deposited Radioactive Contaminants in the Lungs

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