Moderate to severe water limitation differentially affects the phenome and ionome of Arabidopsis

2017 ◽  
Vol 44 (1) ◽  
pp. 94 ◽  
Author(s):  
Lucia M. Acosta-Gamboa ◽  
Suxing Liu ◽  
Erin Langley ◽  
Zachary Campbell ◽  
Norma Castro-Guerrero ◽  
...  

Food security is currently one of the major challenges that we are facing as a species. Understanding plant responses and adaptations to limited water availability is key to maintain or improve crop yield, and this is even more critical considering the different projections of climate change. In this work, we combined two high-throughput -‘omic’ platforms (‘phenomics’ and ‘ionomics’) to begin dissecting time-dependent effects of water limitation in Arabidopsis leaves and ultimately seed yield. As proof of concept, we acquired high-resolution images with visible, fluorescence, and near infrared cameras and used commercial and open source algorithms to extract the information contained in those images. At a defined point, samples were also taken for elemental profiling. Our results show that growth, biomass and photosynthetic efficiency were affected mostly under severe water limitation regimes and these differences were exacerbated at later developmental stages. The elemental composition and seed yield, however, changed across the different water regimes tested and these changes included under- and over- accumulation of elements compared with well-watered plants. Our results demonstrate that the combination of phenotyping techniques can be successfully used to identify specific bottlenecks during plant development that could compromise biomass, yield, and the nutritional quality of plants.

The results of scientific research are presented, which made it possible to develop less labor-intensive methods for selecting flax plants to grow original (updated) seeds. Studies have shown that a positive selection of tall plants of flax, compared with the accepted counterpart (control), increased seed yield 1.7-1.9 times. Moreover, plant homogeneity according to the main characteristics (height and fiber content in the stem) characterizing the varietal quality of grown seeds turned out to be at the control level. A negative selection, involving the removal of atypical plants, provided an increase in the output volume of seeds compared to the control by 3.9-4.1 times. This selection method did not reduce the varietal quality of seed material compared to the accepted analogue. With both selection methods, after combining typical plants, seeds with the same high germination rates were obtained (96-99 %). The breeding efficiency of the grown flax seeds using narrow-row sowing methods is shown. Studies have established that narrow-row sowing of seeds with a row-spacing of 7.5 and 6.25 cm compared with sowing by a wide-row method significantly increased their yield by 2.8-3.0 and 2.3-3.0 kg / ha, respectively. The greatest influence on the formation of seed yield in narrow-row sowing (6.25 cm) was exerted by the method of sowing, the part of which was 76.1 %. As the length of seed propagation of flax in creased (up to the uterine elite 2 years) in narrow-row sowing (6.25 cm) compared to broad-row, there was no decrease in quality indicators - germination and seed strength.


Author(s):  
Muhammad Irfan ◽  
Safdar Abbas ◽  
Beenish Jehan Azhar ◽  
Shakeel Ahmad ◽  
Hafsa Muhammad ◽  
...  

Background: Phytonutrients in peach fruits have health promoting antioxidants against various chronic diseases. However, there is no extensive data to show the nutritional values of Local peach cultivars after post-harvest treatments. Objective: Mainly this study was objective to determine the effect of calcium carbide on nutritional value and quality of fruits of Pakistani peach cultivars. Methods: The peach fruits were collected from three different peach orchids of KPK and the fruits were divided into 4 groups while 5th group was collected from local fruit shop. Each experimental group was treated with different concentration of calcium carbide whereas control group was not treated. The peel and pulp samples were oven dried and ground to fine powder separately. The elemental compositions were determined using Particle Induced X-ray emission and Pelletron Tandem Accelerator. Result: Sixteen elements were identified in peach fruits and the elements were Al, P, S, Cl, K, Ca, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, and Se. In peel, concentration of some elements increased or decreased after treatment with CaC2 while in pulp the conc. of nearly all detected elements was increased in treated samples. We found significantly high amount of heavy metals traces including As, Se, Co, Si, and P in peach fruits treated with CaC2. Interestingly, the presence of trichomes in peach skin prevents the transfer of these heavy metals deep into the pulp which was also verified by the elemental profiling of nectarines. Conclusion: Conclusively, the artificial ripening with CaC2 changed the nutritional value of peach fruits that has higher health risks if consume with the peel. According to our best knowledge, this is the first report that highlights the effects of CaC2 which deteriorate the nutritional value of peach fruits in Pakistan.


Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1427
Author(s):  
Gulen Ozyazici

Environmental contamination and the excessive use of inorganic fertilizers resulting in stagnant yields of field crops which necessitate the utilization of combined fertilization approach under changing climatic conditions. Current study was aimed to clarify the influence of several fertilizer sources (chemical, organic, organomineral fertilizers) on yield and quality of coriander (Coriandrum sativum L.). The results revealed that the fertilizer sources significantly affected the yield of coriander cultivars. The absence of “Year x Variety x Fertilizer Type” interactions for any of the noted parameters signaled that the detected “Variety x Fertilizer Type” interactions were constant regardless of the year factor. The recorded values of traits according to fertilizer sources different for the plant height from 61.85 to 69.67 cm, number of branches from 5.98 to 7.71 (piece/plant), number of umbels per the main umbel from 5.62 to 7.18 pieces, seed yield from 1.06 to 1.66 t/ha, the biological yield from 4.29 to 5.70 t ha−1, harvest index from 25.29 to 29.41%, essential oil ratio from 0.29 to 0.33%, and essential oil yield from 3.1 to 5.6 L ha−1. Erbaa variety was observed to be superior over the rest of the varieties producing the maximum values of 6.5 L ha−1 of essential oil, 0.36% essential oil content, 30.9% harvest index, 1.81 t/ha seed yield, and 5.9 t ha−1 biological yield with the treatment of chemical fertilizers.


Recycling ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Kirsti Cura ◽  
Niko Rintala ◽  
Taina Kamppuri ◽  
Eetta Saarimäki ◽  
Pirjo Heikkilä

In order to add value to recycled textile material and to guarantee that the input material for recycling processes is of adequate quality, it is essential to be able to accurately recognise and sort items according to their material content. Therefore, there is a need for an economically viable and effective way to recognise and sort textile materials. Automated recognition and sorting lines provide a method for ensuring better quality of the fractions being recycled and thus enhance the availability of such fractions for recycling. The aim of this study was to deepen the understanding of NIR spectroscopy technology in the recognition of textile materials by studying the effects of structural fabric properties on the recognition. The identified properties of fabrics that led non-matching recognition were coating and finishing that lead different recognition of the material depending on the side facing the NIR analyser. In addition, very thin fabrics allowed NIRS to penetrate through the fabric and resulted in the non-matching recognition. Additionally, ageing was found to cause such chemical changes, especially in the spectra of cotton, that hampered the recognition.


2021 ◽  
Vol 175 ◽  
pp. 111497
Author(s):  
Weijie Lan ◽  
Benoit Jaillais ◽  
Catherine M.G.C. Renard ◽  
Alexandre Leca ◽  
Songchao Chen ◽  
...  

2020 ◽  
Vol 12 (12) ◽  
pp. 5050
Author(s):  
Katarzyna Szwedziak ◽  
Ewa Polańczyk ◽  
Żaneta Grzywacz ◽  
Gniewko Niedbała ◽  
Wiktoria Wojtkiewicz

An important requirement in the grain industry is to obtain fast information on the quality of purchased and stored grain. Therefore, it is of great importance to search for innovative solutions aimed at the monitoring and fast assessment of quality parameters of stored wheat The results of the evaluation of total protein, water and gluten content by means of near infrared spectrometry are presented in the paper. Multiple linear regression analysis (MLR) and neural modeling were used to analyze the obtained results. The results obtained show no significant changes in total protein (13.13 ± 0.15), water (10.63 ± 0.16) or gluten (30.56 ± 0.54) content during storage. On the basis of the collected data, a model artificial neural network (ANN) MLP 52-6-3 was created, which, with the use of four independent features, allows us to determine changes in the content of water, protein and gluten in stored wheat. The chosen network returned good error values: learning, below 0.001; testing, 0.015; and validation, 0.008. The obtained results and their interpretation are an important element in the warehouse industry. The information obtained in this way about the state of the quality of stored grain will allow for a fast reaction in case of the threat of lowering the quality parameters of the stored grain.


Sign in / Sign up

Export Citation Format

Share Document