Deep sequencing of the microRNA expression in fall dormant and non-dormant alfalfa

AbstractMicroRNAs (miRNAs) play a critical role in post-transcriptional gene regulation that down-regulates target genes by mRNA degradation or translational repression. Evidence is increasing for their crucial roles during plant development. Identification of miRNAs at the global genome-level by high-throughput sequencing is essential to functionally characterize miRNAs in plants. Alfalfa (Medicago sativa L.) is one of the most widely cultivated perennial forage legumes worldwide. Fall dormancy is an adaptive character related to the biomass production and winter survival in alfalfa. However, little is known about miRNA-mediated developmental regulation of fall dormancy in alfalfa. Here, we provide detailed experimental methods and analysis pipeline in our study to identify miRNAs that were responsive to fall dormancy (Fan W et al., Genome-wide identification of different dormant Medicago sativa L. microRNAs in response to fall dormancy, submitted for publication) for reproducible research. The data generated in our work provide meaningful information for understanding the roles of miRNAs in response to seasonal change and growth regulation in alfalfa

Study on the Impact of Internet Use on Farmers’ Straw Returning to the Field: A Micro Survey Data from China

Promoting the use of straw returning technology in rural areas is of great value to improve the use of agricultural technology and to reduce agricultural carbon emissions. However, the low proportion of straw recycling has also attracted more attention all over the world. An effective measure to solve this problem is to increase farmers’ internet use to encourage them to participate in straw recycling. Based on micro survey data from 2126 households obtained from China, this paper uses an ordered probability model (OPM) and seeks to measure the impact of internet use on farmers’ active use of straw returning and its heterogeneity. It aims to answer two questions: what the impact of internet use on farmers’ willingness to participate in straw recycling is, and whether there is heterogeneity. The study found that the use of the internet can significantly drive farmers to use straw to return to the field. Specifically, farmers using the internet are less likely to become non-adoption (−2.95%) or non-voluntary (3.09%), but have a greater probability of becoming voluntary (6.04%). Moreover, the heterogeneity analysis showed that older groups and lower income groups could improve their willingness to actively adopt straw returning technology after using the internet. According to this research, it is suggested to improve local network resources, guide farmers to effectively entertain, study, live, and better enjoy the dividends brought by the internet. In terms of environmental publicity and education, the government should make policy adjustments for older groups and low-income groups to promote the use of technology

The Spatial Network Structure of China’s Regional Carbon Emissions and Its Network Effect

Under the “new normal”, China is facing more severe carbon emissions reduction targets. This paper estimates the carbon emission data of various provinces in China from 2008 to 2014, constructs a revised gravity model, and analyzes the network structure and effects of carbon emissions in various provinces by using social network analysis (SNA) and quadratic assignment procedure (QAP) analysis methods. The conclusions show that there are obvious spatial correlations between China’s provinces and regions in terms of carbon emissions: Tianjin, Shanghai, Zhejiang, Jiangsu and Guangdong are in the center of the carbon emission network, and play the role of “bridges”. Carbon emissions can be divided into four blocks: “bidirectional spillover block”, “net beneficial block”, “net spillover block” and “broker block”. The differences in the energy consumption, economic level and geographical location of the provinces have a significant impact on the spatial correlation relationship of carbon emissions. Finally, the improvement of the robustness of the overall network structure and the promotion of individual network centrality can significantly reduce the intensity of carbon emissions

Internet use and higher farmer participation in domestic waste sorting: micro-survey data from 2126 farming households in rural China

Abstract In the context of the digital economy, understanding the impact of digital participation on farmers’ environmental behavior is crucial for promoting environmental literacy and improving quality of life. This study focuses on the influence of internet use on domestic waste sorting among farm households in rural areas of eastern, central, and western China, based on data from a micro survey conducted in 2126 households. The study utilizes an ordered probability model to examine the impact of internet use on waste sorting behavior and explores any heterogeneity in this relationship. The results reveal that internet use significantly increases the likelihood of farmers participating in domestic waste sorting. This finding remains consistent even after conducting robustness tests. Furthermore, the study demonstrates that internet use reduces the probability of non-participation in waste separation by 14.9%, while increasing the proportion of waste sorting into two, three, and four categories by 3.86, 5.99, and 5.04%, respectively. In other words, farmers who use the internet are more likely to engage in proper waste separation practices. Heterogeneity analysis indicates that the promotion of internet use facilitates information access for traditionally marginalized groups, such as women, older individuals, those with low income, and those with low education levels. Consequently, these groups are more likely to participate in household waste sorting. This study serves as an important reference for developing countries and regions that aim to enhance residential waste participation through internet use

Digital gene-expression of alfalfa saponin extract on laying hens

Cardiovascular disease is a major cause of death worldwide, so people are advised to limit their intake of dietary cholesterol [1]. Egg consumption has been seriously reduced because of the high levels of cholesterol [2]. The objective of this study was to evaluate the cholesterol metabolism effects of alfalfa saponin extract (ASE) in liver and ovary tissues using digital gene-expression (DGE) profiling analysis. The liver and ovary tissues were isolated from laying hens fed with ASE for RNA sequencing. Here, we provide detailed experimental methods and analysis pipeline in our study to identify digital gene expression of alfalfa saponin extract on laying hens and analysis pipeline published by Singh and colleagues in the PLOS ONE [3]. The data generated in our work provide meaningful information for understanding the molecular mechanisms underlying the cholesterol-lowering effects of ASE

Valine and isoleucine supplementation improve performance and serum biochemical concentrations in growing gilts fed low-protein diets

This study evaluated the effects of valine and isoleucine supplementation in low-crude-protein (CP) diets on performance, serum parameters, and carcass traits in growing gilts. Two-hundred gilts (29.1 ± 1.7 kg) were allotted randomly to one of five diets that included a control CP (177 g kg−1) or four low-CP (135 g kg−1) diets for 45 d. The low-CP diets were added with lysine + threonine + methionine (LCM), LCM+ tryptophan (LCT), LCT + valine (LCV), or LCV + isoleucine (LCI), respectively. Non significant difference in average daily gain was obtained in gilts receiving the control, LCV, or LCI diets, which was higher than that of pigs fed the LCM or LCT diets (P < 0.05). The supplementation of crystalline tryptophan, valine, and isoleucine improved the average daily feed intake and serum levels of total protein, tryptophan, and isoleucine (linear and quadratic effects, P < 0.05) and serum valine concentration (linear effect, P < 0.05). The results indicated that the valine supplementation, or the both combination of valine and isoleucine, could further improve the performance in 29–62 kg gilts fed the 135 g kg−1 CP diet.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

Does Population Mobility Contribute to Urbanization Convergence? Empirical Evidence from Three Major Urban Agglomerations in China

Population mobility accelerates urbanization convergence and mitigates the negative impact of the spatial agglomeration effect on urbanization convergence, which is the most important conclusion in this paper. Taking 38 cities in China&rsquo;s three urban agglomerations (the Yangtze River Delta, the Pearl River Delta, and the Beijing&ndash;Tianjin&ndash;Hebei region) from 2005 to 2016 as research subjects, the study first shows that there is a large gap in the level of urbanization between the three major urban agglomerations, but the gap has been constantly narrowed and presents a trend of absolute convergence and conditional convergence. Furthermore, without adding a population mobility variable, the combination of the diffusion effect of high-urbanization cities and the high growth rate of low-urbanization cities causes the inter-regional urbanization level to be continuously convergent in the Yangtze River Delta region; however, the combination of the agglomeration effect of high-urbanization cities and the high growth rate of low-urbanization cities causes the inter-regional urbanization to be divergent in the Pearl River Delta and the Beijing&ndash;Tianjin&ndash;Hebei region. Under the influence of population mobility, the &ldquo;catch-up&rdquo; effect in low-urbanization regions is greater than the agglomeration effect in high-urbanization regions, which promotes the continuous convergence of inter-regional urbanization

Differences in terms of presentation and outcomes between patients with lung cancer as opposed to other solid organ cancer after infection with SARS-CoV-2: protocol for a systematic review

Introduction Scholars believe that COVID-19 can be particularly lethal for patients with cancer. Some studies found that COVID-19 appears to be more lethal in patients with lung cancer than in other cancer patients. In order to take appropriate measures to balance a delay in lung cancer treatment against the risk for a potential COVID-19 exposure, we first need to know whether patients with lung cancer have special risks. We aim to conduct a systematic review and meta-analysis to examine differences in terms of presentation and outcomes between patients with lung cancer as opposed to other solid organ cancer after infection with SARS-CoV-2.Methods and analysis A comprehensive search of published original research studies will be performed in Embase, MEDLINE, Web of Science, WangFangData, CQVIP, COMPENDEX and CNKI. The medRxiv preprint server will also be searched for applicable studies (grey literature). Original research studies will be included if they include patients with: (A) laboratory-confirmed SARS-CoV-2 infection and (B) confirmed solid cancer, and (C) measurable clinical presentation or outcome, such as mortality rate, intensive care unit admission rate, incidence of pneumonia. One author will conduct the electronic database searches, two authors will independently screen studies, two will extract data and two will assess study quality. If I² exceeds 60% for the pooled analysis, we will explore sources of heterogeneity in subgroups of studies. We will use fixed-effect, random-effects or mixed-effects models to estimate the relative risk or OR. If the data reporting allows, a subgroup analysis between non-small cell lung cancer and small cell lung cancer patients will be performed.Ethics and dissemination The proposed study will not collect individual-level data and, therefore, does not require ethical approval. We will submit our findings to a peer-reviewed scientific journal and will disseminate results through presentations at international scientific conferences.PROSPERO registration number CRD42020190118

An Empirical Study on the Impact Path of Urbanization to Carbon Emissions in the China Yangtze River Delta Urban Agglomeration

Urbanization is an important factor in the growth of carbon emissions, as the city is a dense area of carbon emissions. This paper estimates the carbon emissions at the provincial, municipal, and county spatial scales in the Yangtze River Delta region during 2008&ndash;2015. On this basis, this paper makes a comprehensive analysis of the pathway and difference of the urbanization to the carbon emission by using the scale variance decomposition method, the space correlation analysis method, the mediation effect test method, and the space panel data model. The results show that the urbanization of the Yangtze River Delta has a significant positive impact on carbon emissions; The pathway from urbanization to industrial structure has a significant impact on carbon emissions. Although the pathway from industrial structure to urbanization to carbon emissions is insignificant, the industrial structure directly affects carbon emissions. There is a significant path from urbanization to the level of economic development to carbon emissions, but there is no mechanism for the economic development level to adversely affect the level of urbanization and thus affect carbon emissions; the chain action pathway from the urbanization level to the employment level to the economic development level to carbon emissions is not significant. Finally, based on the research conclusions, the corresponding policy recommendations are submitted