scholarly journals Enhancing crop yield by using Rubisco activase to improve photosynthesis under elevated temperatures

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Inosha Wijewardene ◽  
Guoxin Shen ◽  
Hong Zhang
Keyword(s):  
Heat Stress ◽  
Crop Yield ◽  
Elevated Temperatures ◽  
Crop Yields ◽  
Plant Biomass ◽  
Active Form ◽  
Critical Factor ◽  
Rubisco Activase ◽  
Climatic Conditions ◽  
World Population

AbstractWith the rapid growth of world population, it is essential to increase agricultural productivity to feed the growing population. Over the past decades, many methods have been used to increase crop yields. Despite the success in boosting the crop yield through these methods, global food production still needs to be increased to be on par with the increasing population and its dynamic consumption patterns. Additionally, given the prevailing environmental conditions pertaining to the global temperature increase, heat stress will likely be a critical factor that negatively affects plant biomass and crop yield. One of the key elements hindering photosynthesis and plant productivity under heat stress is the thermo-sensitivity of the Rubisco activase (RCA), a molecular chaperone that converts Rubisco back to active form after it becomes inactive. It would be an attractive and practical strategy to maintain photosynthetic activity under elevated temperatures by enhancing the thermo-stability of RCA. In this context, this review discusses the need to improve the thermo-tolerance of RCA under current climatic conditions and to further study RCA structure and regulation, and its limitations at elevated temperatures. This review summarizes successful results and provides a perspective on RCA research and its implication in improving crop yield under elevated temperature conditions in the future.

Regional factors of grain crop yield growth in the dynamics of recent years

2021 ◽  
pp. 29-36
Author(s):  
Yuriy P. Bondarenko ◽  
Keyword(s):  
Crop Yield ◽  
Crop Yields ◽  
Methodological Approach ◽  
Climatic Conditions ◽  
Grain Production ◽  
Fixed Assets ◽  
Production Complex ◽  
Grain Crop ◽  
Regional Factors

In view of the significant increase in grain production in Russia, a methodological approach is proposed to analyze the significance of regional factors of grain crop yield growth in the country in recent years, especially against the background of the lack of expansion of acreage under grain crops. Based on the results of the calculations, the effectiveness of the influence of climatic, financial, infrastructural and production factors on the growth of grain yield was described. It is concluded that various factors had different effects on the growth of grain crop yields in regions with high-, medium - and low-intensity grain production complex. The role of reducing the influence of financial factors on the growth of grain yields and a sharp increase in the role of agro-climatic conditions is noted. The revealed trend of increasing depreciation of fixed assets of agriculture as a whole is particularly emphasized, with a slight increase in the volume of their renewal and modernization in the leading regions in terms of grain crop yield growth. Without taking appropriate measures to reduce the depreciation of fixed assets in the near future, this will result in a sharp decline in the achieved volumes of grain production in the country.

scholarly journals Effects of Environmental Stresses (Heat, Salt, Waterlogging) on Grain Yield and Associated Traits of Wheat under Application of Sulfur-Coated Urea

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2340
Author(s):  
Adil Altaf ◽  
Xinkai Zhu ◽  
Min Zhu ◽  
Ma Quan ◽  
Sana Irshad ◽  
...  
Keyword(s):  
Salt Stress ◽  
Heat Stress ◽  
Crop Yield ◽  
Abiotic Stresses ◽  
Climatic Conditions ◽  
Growth And Yield ◽  
Release Time ◽  
Wheat Crop ◽  
Spad Value ◽  
Coated Urea

Abiotic stresses, such as heat, salt, waterlogging, and multiple-stress environments have significantly reduced wheat production in recent decades. There is a need to use effective strategies for overcoming crop losses due to these abiotic stresses. Fertilizer-based approaches are readily available and can be managed in all farming communities. This research revealed the effects of sulfur-coated urea (SCU, 130 kg ha−1, release time of 120 days) on wheat crops under heat, salt, waterlogging, and combined-stress climatic conditions. The research was done using a completely randomized design with three replicates. The results revealed that SCU at a rate of 130 kg of N ha−1 showed a significantly (p ≤ 0.05) high SPAD value (55) in the case of waterlogging stress, while it was the lowest (31) in the case of heat stress; the control had a SPAD value of 58. Stress application significantly (p ≤ 0.05) reduced the leaf area and was the highest in control (1898 cm2), followed by salt stress (1509 cm2), waterlogging (1478 cm2), and heat stress (1298 cm2). A significantly (p ≤ 0.05) lowest crop yield was observed in the case of heat stress (3623.47 kg ha−1) among all stresses, while it was 10,270 kg ha−1 in control and was reduced up to 35% after the application of heat stress. Among all stresses, the salt stress showed the highest crop yield of 5473.16 kg ha−1. A significant correlation was observed among growth rate, spike length, yield, and physiological constraints with N content in the soil. The SCU fertilizer was the least effective against heat stress but could tolerate salt stress in wheat plants. The findings suggested the feasibility of adding SCU as an alternative to normal urea to alleviate salt stresses and improve wheat crop growth and yield traits. For heat stress tolerance, the applicability of SCU with a longer release period of ~180 days is recommended as a future prospect for study.

scholarly journals Crop Yield Prediction using XG Boost Algorithm

2020 ◽  
Vol 8 (5) ◽  
pp. 3516-3520
Keyword(s):  
Crop Yield ◽  
Tamil Nadu ◽  
Crop Yields ◽  
Absolute Error ◽  
Climatic Conditions ◽  
Support Vector ◽  
Yield Prediction ◽  
Indian States ◽  
South Indian ◽  
Proposed Model

The main objective of this research is to predict crop yields based on cultivation area, Rainfall and maximum and minimum temperature data. It will help our Indian farmers to predict crop yielding according to the environment conditions. Nowadays, Machine learning based crop yield prediction is very popular than the traditional models because of its accuracy. In this paper, linear regression, Support Vector Regression, Decision Tree and Random forest is compared with XG Boost algorithm. The above mentioned algorithms are compared based on R2 , Minimum Square Error and Minimum Absolute Error. The dataset is prepared from the data.gov.in site for the year from 2000 to 2014. The data for 4 south Indian states Andhra Pradesh, Karnataka, Tamil Nadu and Kerala data alone is taken since all these states has same climatic conditions. The proposed model in this paper based on XG Boost is showing much better results than other models. In XG Boost R2 is 0.9391 which is the best when compared with other models.

scholarly journals Co-evolution hints at soil microbial biomass as the entity of soil fertility

2015 ◽  
Author(s):  
Masato Oda ◽  
Yasukazu Hosen ◽  
Uchada Sukchan
Keyword(s):  
Microbial Biomass ◽  
Soil Fertility ◽  
Soil Properties ◽  
Crop Yield ◽  
Soil Microbial Biomass ◽  
Crop Yields ◽  
Plant Biomass ◽  
Total N ◽  
Soil Microbial ◽  
Wide Range

Nitrogen (N) and Carbon (C) are popular indicators of soil fertility; however, they are not soil fertility itself. In fact, they may be seen as just two aspects of the one entity. Soil microbial biomass (SMB) is also one of soil fertility indicators; furthermore, recent study of co-evolution between plants and microorganisms raises an idea that SMB might be the entity of fertility. The correlation between SMB and crop yield has been found in some studies but not in others. Those studies were conducted from the standpoint of N stock balance; therefore, the correlation between soil properties before planting and plant yields were analyzed. Here, we show—in our analysis of harvest-time soil properties and crop yields—that SMB correlates more strongly than inorganic N, total N, or total C with average crop yield under a wide range of cultivation conditions. From the viewpoint of co-evolution, plant biomass is a part of the plant and soil microorganism system; therefore, increasing SMB will balance by increasing plant biomass. In addition, the SMB could increase independently from the plant growth by artificial organic matter input. This concept will break through the yield limitation of conventional farming.

scholarly journals Modeling of Quantiles for Probability Distribution of Crop Yield Under Climate Change (On the Example of Corn)

2020 ◽  
pp. 53-61
Author(s):  
Volodymyr Pepelyaev ◽  
Olexandr Golodnikov ◽  
Nina Golodnikova
Keyword(s):  
Climate Change ◽  
Distribution Function ◽  
Quantile Regression ◽  
Crop Yield ◽  
Crop Yields ◽  
Climatic Conditions ◽  
Corn Yield ◽  
Yield Distribution ◽  
The Individual ◽  
Quantile Regression Method

Introduction. In the context of global warming, there is an urgent need to adapt the agrarian sector to climate change, which, in particular, provides for an adequate choice of crop structure. For this purpose it is necessary to determine which crops are most adapted to the new climatic conditions and to scientifically substantiate their placement in the territory of Ukraine. The traditional approach to crop selection, which consists in conducting field trials of crop response to climate change, is time consuming. An alternative to this approach is application of the methods of mathematical modeling of crop yields in new climatic conditions. The article proposes to use a more flexible approach, namely, the quantile regression method, for modeling yield dependence on climatic parameters, which allows to determine any quantile of the yield distribution function, rather than only one value (average), as in the case of standard regression. The crop yield model based on quantile regression is developed on the grounds of V.P. Dmitrenko model "Weather-harvest" [8], [9]. The following data are used as inputs: (1) corn yields in the context of several areas of the Ukrainian Forest-Steppe in recent years; (2) information on average monthly temperatures and rainfall in these areas in recent years; forecasts of average monthly air temperatures and rainfall in Ukraine for the nearest (by 2030) and more distant (2031 - 2050) perspectives, which are obtained by experts of the Ukrainian Hydrometeorological Institute [10] - [12]. The purpose of the paper is to develop a mathematical model for estimating crop yields that takes into account the uncertainty, associated with climate change in the near and distant perspectives. Results. Using the developed model, estimates of the quantiles of the corn yield distribution function for the nearest (up to 2030) and for the more distant (2031 - 2050) perspectives are obtained both at the level of the individual (Central) region of Ukraine and at the level of the individual (Ternopil) region. The simulation results indicate that weather conditions forecast in [10] - [12] over the next 30 years will more likely produce good corn yields.

scholarly journals Co-evolution hints at soil microbial biomass as the entity of soil fertility

2015 ◽  
Author(s):  
Masato Oda ◽  
Yasukazu Hosen ◽  
Uchada Sukchan
Keyword(s):  
Microbial Biomass ◽  
Soil Fertility ◽  
Soil Properties ◽  
Crop Yield ◽  
Soil Microbial Biomass ◽  
Crop Yields ◽  
Plant Biomass ◽  
Total N ◽  
Soil Microbial ◽  
Wide Range

Nitrogen (N) and Carbon (C) are popular indicators of soil fertility; however, they are not soil fertility itself. In fact, they may be seen as just two aspects of the one entity. Soil microbial biomass (SMB) is also one of soil fertility indicators; furthermore, recent study of co-evolution between plants and microorganisms raises an idea that SMB might be the entity of fertility. The correlation between SMB and crop yield has been found in some studies but not in others. Those studies were conducted from the standpoint of N stock balance; therefore, the correlation between soil properties before planting and plant yields were analyzed. Here, we show—in our analysis of harvest-time soil properties and crop yields—that SMB correlates more strongly than inorganic N, total N, or total C with average crop yield under a wide range of cultivation conditions. From the viewpoint of co-evolution, plant biomass is a part of the plant and soil microorganism system; therefore, increasing SMB will balance by increasing plant biomass. In addition, the SMB could increase independently from the plant growth by artificial organic matter input. This concept will break through the yield limitation of conventional farming.

scholarly journals Arabidopsis bZIP18 and bZIP52 Accumulate in Nuclei Following Heat Stress where They Regulate the Expression of a Similar Set of Genes

2021 ◽  
Vol 22 (2) ◽  
pp. 530
Author(s):  
Anna J. Wiese ◽  
Lenka Steinbachová ◽  
Ljudmilla Timofejeva ◽  
Vojtěch Čermák ◽  
Božena Klodová ◽  
...  
Keyword(s):  
Gene Expression ◽  
Heat Stress ◽  
Metabolic Pathways ◽  
Elevated Temperatures ◽  
Crop Yields ◽  
Nuclear Accumulation ◽  
Rna Seq ◽  
Regulate Gene Expression ◽  
Heat Stress Response ◽  
Group I

Heat stress (HS) is a major abiotic stress that negatively impacts crop yields across the globe. Plants respond to elevated temperatures by changing gene expression, mediated by transcription factors (TFs) functioning to enhance HS tolerance. The involvement of Group I bZIP TFs in the heat stress response (HSR) is not known. In this study, bZIP18 and bZIP52 were investigated for their possible role in the HSR. Localization experiments revealed their nuclear accumulation following heat stress, which was found to be triggered by dephosphorylation. Both TFs were found to possess two motifs containing serine residues that are candidates for phosphorylation. These motifs are recognized by 14–3–3 proteins, and bZIP18 and bZIP52 were found to bind 14–3–3 ε, the interaction of which sequesters them to the cytoplasm. Mutation of both residues abolished 14–3–3 ε interaction and led to a strict nuclear localization for both TFs. RNA-seq analysis revealed coordinated downregulation of several metabolic pathways including energy metabolism and translation, and upregulation of numerous lncRNAs in particular. These results support the idea that bZIP18 and bZIP52 are sequestered to the cytoplasm under control conditions, and that heat stress leads to their re-localization to nuclei, where they jointly regulate gene expression.

scholarly journals Co-evolution hints at soil microbial biomass as the entity of soil fertility

2015 ◽  
Author(s):  
Masato Oda ◽  
Yasukazu Hosen ◽  
Uchada Sukchan
Keyword(s):  
Microbial Biomass ◽  
Soil Fertility ◽  
Soil Properties ◽  
Crop Yield ◽  
Soil Microbial Biomass ◽  
Crop Yields ◽  
Plant Biomass ◽  
Total N ◽  
Soil Microbial ◽  
Wide Range

Nitrogen (N) and Carbon (C) are popular indicators of soil fertility; however, they are not soil fertility itself. In fact, they may be seen as just two aspects of the one entity. Soil microbial biomass (SMB) is also one of soil fertility indicators; furthermore, recent study of co-evolution between plants and microorganisms raises an idea that SMB might be the entity of fertility. The correlation between SMB and crop yield has been found in some studies but not in others. Those studies were conducted from the standpoint of N stock balance; therefore, the correlation between soil properties before planting and plant yields were analyzed. Here, we show—in our analysis of harvest-time soil properties and crop yields—that SMB correlates more strongly than inorganic N, total N, or total C with average crop yield under a wide range of cultivation conditions. From the viewpoint of co-evolution, plant biomass is a part of the plant and soil microorganism system; therefore, increasing SMB will balance by increasing plant biomass. In addition, the SMB could increase independently from the plant growth by artificial organic matter input. This concept will break through the yield limitation of conventional farming.

scholarly journals The Hsp60 Protein of Helicobacter Pylori Exhibits Chaperone and ATPase Activities at Elevated Temperatures

BioChem ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 19-25
Author(s):  
Jose A. Mendoza ◽  
Julian L. Ignacio ◽  
Christopher M. Buckley
Keyword(s):  
Helicobacter Pylori ◽  
Heat Stress ◽  
Molecular Chaperone ◽  
Elevated Temperatures ◽  
Citrate Synthase ◽  
Gastric Epithelium ◽  
Acidic Conditions ◽  
H Pylori ◽  
Induced Aggregation ◽  
Hydrolysis Of

The heat-shock protein, Hsp60, is one of the most abundant proteins in Helicobacter pylori. Given its sequence homology to the Escherichia coli Hsp60 or GroEL, Hsp60 from H. pylori would be expected to function as a molecular chaperone in this organism. H. pylori is a type of bacteria that grows on the gastric epithelium, where the pH can fluctuate between neutral and 4.5, and the intracellular pH can be as low as 5.0. We previously showed that Hsp60 functions as a chaperone under acidic conditions. However, no reports have been made on the ability of Hsp60 to function as a molecular chaperone under other stressful conditions, such as heat stress or elevated temperatures. We report here that Hsp60 could suppress the heat-induced aggregation of the enzymes rhodanese, malate dehydrogenase, citrate synthase, and lactate dehydrogenase. Moreover, Hsp60 was found to have a potassium and magnesium-dependent ATPase activity that was stimulated at elevated temperatures. Although, Hsp60 was found to bind GTP, the hydrolysis of this nucleotide could not be observed. Our results show that Hsp60 from H. pylori can function as a molecular chaperone under conditions of heat stress.

scholarly journals Effect of Row Spacing and Seeding Rate on Russian Thistle (Salsola tragus) in Spring Barley and Spring Wheat

Plants ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 126
Author(s):  
Judit Barroso ◽  
Nicholas G. Genna
Keyword(s):  
Seed Production ◽  
Crop Yield ◽  
Spring Wheat ◽  
Plant Biomass ◽  
Integrated Management ◽  
Spring Barley ◽  
Management Strategies ◽  
Crop Productivity ◽  
Row Spacing ◽  
Seeding Rate

Russian thistle (Salsola tragus L.) is a persistent post-harvest issue in the Pacific Northwest (PNW). Farmers need more integrated management strategies to control it. Russian thistle emergence, mortality, plant biomass, seed production, and crop yield were evaluated in spring wheat and spring barley planted in 18- or 36-cm row spacing and seeded at 73 or 140 kg ha−1 in Pendleton and Moro, Oregon, during 2018 and 2019. Russian thistle emergence was lower and mortality was higher in spring barley than in spring wheat. However, little to no effect of row spacing or seeding rate was observed on Russian thistle emergence or mortality. Russian thistle seed production and plant biomass followed crop productivity; higher crop yield produced higher Russian thistle biomass and seed production and lower crop yield produced lower weed biomass and seed production. Crop yield with Russian thistle pressure was improved in 2018 with 18-cm rows or by seeding at 140 kg ha−1 while no effect was observed in 2019. Increasing seeding rates or planting spring crops in narrow rows may be effective at increasing yield in low rainfall years of the PNW, such as in 2018. No effect may be observed in years with higher rainfall than normal, such as in 2019.

Sign in / Sign up

Export Citation Format

Share Document