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Effects of Different Tillage and Residue Retention Measures on Silage Maize Yield and Quality and Soil Phosphorus in Karst Areas 喀斯特地区不同耕作留渣措施对青贮玉米产量、品质及土壤磷的影响
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-31 DOI: 10.3390/agronomy13092306
Tao Wang, Wei Ren, Feng Yang, Lili Niu, Zhou Li, Mingjun Zhang
Soil phosphorus (P) limitation in karst areas has severely constrained soil quality and land productivity. To enhance silage maize yield and quality and alleviate and/or balance the low phosphorus availability in the karst areas of China, the experiment investigated the effects of different tillage and residue retention practices on silage maize yield and quality and soil phosphorus in this region. The treatment set included: conventional tillage (CT), conventional tillage and root stubble retention (CTH), conventional tillage and mulch (CTM), conventional tillage and crushing and incorporation of hairy vetch by tillage (CTR), no tillage (NT), no tillage and root stubble retention (NTH), no tillage and mulch (NTM), and no tillage and living mulch (NTLM). The results showed that CTM, NTM, CTR, and NTLM significantly increased the height and LAI of silage maize compared with the CT, NT, and NTH treatments. CTM, CTR, and NTM significantly enhanced maize yield. Compared with conventional tillage, not tilling had a more pronounced improvement in silage quality, whereas residue retention hardly affected corn quality. In addition, although not tilling does not significantly increase acid phosphatase activity, it appeared to be advantageous in increasing soil microbial phosphorus and available phosphorus content when combined with cover crop measures. Ultimately, we concluded that NTM and NTLM are beneficial for silage maize yield and quality and soil phosphorus content in karst areas and verified the advantages of combining no tillage and residue retention practices for silage maize production and soil phosphorus improvement in the karst areas of China.
岩溶地区土壤磷的限制严重制约了土壤质量和土地生产力。为了提高我国喀斯特地区青贮玉米的产量和品质,缓解和/或平衡低磷有效性,本试验研究了不同耕作和留渣措施对该地区青贮玉米产量和品质以及土壤磷的影响。处理组包括:常规耕作(CT)、常规耕作和根茬留茬(CTH)、常规耕种和覆盖物(CTM)、传统耕作和粉碎并通过耕作掺入毛豌豆(CTR)、免耕(NT)、免耕和根茬保留(NTH)、免耕覆盖物(NTM)以及免耕和活覆盖物(NTLM)。结果表明,与CT、NT和NTH处理相比,CTM、NTM、CTR和NTLM显著提高了青贮玉米的高度和LAI。CTM、CTR和NTM显著提高玉米产量。与常规耕作相比,不耕作对青贮饲料质量的改善更为显著,而留渣对玉米质量的影响不大。此外,尽管不耕作不会显著提高酸性磷酸酶活性,但与覆盖作物措施相结合,似乎有利于提高土壤微生物磷和有效磷含量。最后,我们得出结论,NTM和NTLM有利于喀斯特地区青贮玉米的产量和质量以及土壤磷含量,并验证了免耕和留渣相结合在中国喀斯特地区生产青贮玉米和改善土壤磷的优势。
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引用次数: 2
Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review 机器学习驱动的遥感在印度农业中的应用——系统综述
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-31 DOI: 10.3390/agronomy13092302
Shweta Pokhariyal, N. R. Patel, A. Govind
In India, agriculture serves as the backbone of the economy, and is a primary source of employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and allied sectors in India exhibited resilience, registered a growth of 3.4% during 2020–2121, even as the overall economic growth declined by 7.2% during the same period. The improvement of the agriculture sector holds paramount importance in sustaining the increasing population and safeguarding food security. Consequently, researchers worldwide have been concentrating on digitally transforming agriculture by leveraging advanced technologies to establish smart, sustainable, and lucrative farming systems. The advancement in remote sensing (RS) and machine learning (ML) has proven beneficial for farmers and policymakers in minimizing crop losses and optimizing resource utilization through valuable crop insights. In this paper, we present a comprehensive review of studies dedicated to the application of RS and ML in addressing agriculture-related challenges in India. We conducted a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines and evaluated research articles published from 2015 to 2022. The objective of this study is to shed light on the application of both RS and ML technique across key agricultural domains, encompassing “crop management”, “soil management”, and “water management, ultimately leading to their improvement. This study primarily focuses on assessing the current status of using intelligent geospatial data analytics in Indian agriculture. Majority of the studies were carried out in the crop management category, where the deployment of various RS sensors led yielded substantial improvements in agricultural monitoring. The integration of remote sensing technology and machine learning techniques can enable an intelligent approach to agricultural monitoring, thereby providing valuable recommendations and insights for effective agricultural management.
在印度,农业是经济的支柱,也是就业的主要来源。尽管2019冠状病毒病大流行造成了挫折,但印度的农业和相关部门表现出了韧性,在2020 - 2021年期间实现了3.4%的增长,尽管同期整体经济增长下降了7.2%。改善农业部门对于维持不断增长的人口和保障粮食安全至关重要。因此,世界各地的研究人员一直致力于利用先进技术建立智能、可持续和有利可图的农业系统,从而实现农业的数字化转型。遥感(RS)和机器学习(ML)的进步已被证明有利于农民和决策者通过有价值的作物见解来最大限度地减少作物损失和优化资源利用。在本文中,我们对致力于RS和ML在解决印度农业相关挑战中的应用的研究进行了全面回顾。我们按照系统评价和荟萃分析(PRISMA)指南的首选报告项目进行了系统文献综述,并评估了2015年至2022年发表的研究文章。本研究的目的是阐明RS和ML技术在关键农业领域的应用,包括“作物管理”、“土壤管理”和“水管理”,最终导致它们的改进。本研究主要侧重于评估印度农业中使用智能地理空间数据分析的现状。大多数研究是在作物管理类别中进行的,在这一类别中,各种遥感传感器的部署导致农业监测方面的重大改进。遥感技术和机器学习技术的集成可以实现农业监测的智能方法,从而为有效的农业管理提供有价值的建议和见解。
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引用次数: 0
Genome-Wide Investigation of Knotted Related Homeobox Genes and Identification of a Fiber-Growth-Repressed Knotted Related Homeobox Gene in Ramie 苎麻打结相关同源基因的全基因组研究及纤维生长抑制打结相关同源同源基因的鉴定
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-31 DOI: 10.3390/agronomy13092297
Jianrong Chen, Xueyu Zhang, Fang Liu, Chang Liu, Yinghong Tang, Chunyan Li, Yuan Gong, Xiaojiang Xu, Yanzhou Wang, Toumin Liu
The KNOX transcription factor plays crucial roles in regulating fiber growth in plants. Although the genome of ramie, an important fiber crop in China, is available, knotted related homeobox (KNOX) genes have not been systematically explored in this crop. In this study, seven members of the KNOX gene from the ramie genome were identified and assigned to two groups, Class I and II. The intron–exon structure, conserved domain architecture, cis-regulating elements, and expression pattern showed distinct differences among the seven KNOX regulators. One of the genes, Bnt07G011994, encodes an ortholog of Arabidopsis fiber-growth-related KNAT7, and is differentially expressed among barks undergoing different stages of fiber growth. The overexpression of Bnt07G011994 dramatically decreases the fiber number in transgenic Arabidopsis, indicating a negative role played by this gene in modulating fiber growth. Further transcriptome analysis of transgenic Arabidopsis revealed that the overexpression of Bnt07G011994 resulted in an expression change in 14 pectin biosynthesis-/metabolism-related genes. These findings provide a useful foundation for further investigating the function of KNOX genes in ramie, and provide an important insight into the involvement of the ramie KNOX gene in fiber growth.
KNOX转录因子在植物纤维生长调控中起着至关重要的作用。苎麻是中国重要的纤维作物之一,虽然苎麻的基因组已经确定,但对其KNOX基因的系统研究尚不充分。本研究从苎麻基因组中鉴定出7个KNOX基因成员,并将其分为I类和II类两组。在内含子-外显子结构、保守结构域结构、顺式调控元件和表达模式等方面,7个KNOX调控子存在明显差异。其中一个基因Bnt07G011994编码与拟南芥纤维生长相关的KNAT7同源基因,在纤维生长不同阶段的树皮中表达差异。Bnt07G011994过表达显著减少转基因拟南芥的纤维数量,表明该基因在调节纤维生长中起负作用。进一步对转基因拟南芥进行转录组分析发现,Bnt07G011994过表达导致14个果胶生物合成/代谢相关基因的表达变化。这些发现为进一步研究KNOX基因在苎麻中的功能提供了有益的基础,并为苎麻KNOX基因参与纤维生长提供了重要的见解。
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引用次数: 0
The Effect of the Mixing Ratio of Barley and Mung Bean Seeds on the Quality of Sprouted Green Fodder and Silage in a Hydroponic System 水培系统中大麦和绿豆种子配比对发芽青饲料和青贮饲料质量的影响
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-31 DOI: 10.3390/agronomy13092301
W. Soufan
Securing good feed and sustaining production is one of the main pillars of the livestock production sector. However, this is difficult to achieve in many different environments or circumstances. The production of fodder in a hydroponic system allows for sustainable production throughout the year and provides many benefits to the animal. However, ways must be found to improve the quality of hydroponic fodder and extend its shelf life. In this study, hydroponic barley fodder was produced by mixing it with mung bean seeds at different mixing ratios. In addition, silage was prepared from the resulting fodder by mixing it with barley straw to reduce the high moisture. The results of this study showed that the proportions of the components of nutritional value in the produced fodder were increased, especially the proportion of proteins, when the percentage of mung beans in the mixture was increased. In addition, the preservation of hydroponic fodder using the silage method resulted in obtaining a higher percentage of dry matter compared to fresh fodder and increased the preservation time. This brings many advantages to farmers and livestock producers, as well as researchers in the field, to expand the scope of experiments to other fodder mixtures and the sustainable production of good fodder in hydroponic systems.
确保良好的饲料和维持生产是畜牧生产部门的主要支柱之一。然而,这在许多不同的环境或情况下很难实现。在水培系统中生产饲料可以实现全年的可持续生产,并为动物带来许多好处。然而,必须找到提高水培饲料质量和延长其保质期的方法。在本研究中,将水培大麦饲料与绿豆种子以不同的混合比例混合制成。此外,通过将所得饲料与大麦秸秆混合来制备青贮饲料,以减少高水分。本研究的结果表明,当绿豆在混合物中的百分比增加时,所生产的饲料中具有营养价值的成分的比例增加,尤其是蛋白质的比例增加。此外,与新鲜饲料相比,使用青贮方法保存水培饲料可获得更高的干物质百分比,并延长了保存时间。这为农民和牲畜生产者以及该领域的研究人员带来了许多优势,将实验范围扩大到其他饲料混合物和在水培系统中可持续生产优质饲料。
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引用次数: 0
The Impact of Greenhouse and Field Growth Conditions on Chenopodium quinoa Willd Accessions’ Response to Salt Stress: A Comparative Approach 温室和田间生长条件对藜麦野生种质对盐胁迫响应的影响
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-31 DOI: 10.3390/agronomy13092303
N. Slimani, S. Arraouadi, H. Hajlaoui, M. A. Borgi, Nour El Houda Boughattas, V. De Feo, Mejdi Snoussi
Quinoa’s exceptional capacity to tolerate high salt levels presents a promising solution to the agricultural challenges posed by salt stress. This study aimed to explore salt stress effects on three quinoa accessions (18 GR, R-132, and DE-1) and to compare the influence of greenhouse and field growing conditions on their salinity tolerance. The plants were irrigated by 50, 100, 150, and 200 mM NaCl concentrations. The results showed that quinoa plants’ response to morphological, physiological, biochemical, and enzymatic parameters was influenced by NaCl concentration, accession, growing conditions, and their interactions. As salinity irrigation increased, aerial part length and leaf area decreased significantly (p < 0.05) for all studied accessions, correlating with plant photosynthetic parameters. Greenhouse conditions promote faster and more vigorous growth with a larger leaf area compared to field cultivation. Furthermore, at 200 mM concentration, the DE-1 accession displayed greater photosynthetic activity, recording values of 195.66 ± 3.56 and 120 ± 1.13 µmol·m−2·s−1 for greenhouse and open field conditions, respectively. NaCl stimulated MDA and H2O2 in both conditions for all accessions, and the DE-1 accession displayed the lowest levels. Proteins, sugars, proline, peroxidase, ascorbate peroxidase, and catalase were stimulated by salt stress, except in the R-132 accession. Field cultivation resulted in a more severe salinity response. Greenhouse conditions may enhance quinoa’s salt tolerance due to the less demanding growth conditions. DE-1 exhibited the highest salt tolerance, while R-132 showed the lowest. This study sets the stage for further research into the genetic basis of salt tolerance in various quinoa accessions, optimizing growth in salty regions through farming practices, and confirming the obtained results in real-world conditions for sustainable agriculture.
藜麦具有非凡的耐高盐能力,为解决盐胁迫带来的农业挑战提供了一个很有前途的解决方案。本研究旨在探讨盐胁迫对三种藜麦材料(18GR、R-132和DE-1)的影响,并比较温室和田间生长条件对其耐盐性的影响。用50、100、150和200mM浓度的NaCl灌溉植物。结果表明,藜麦植物对形态、生理、生化和酶参数的反应受到NaCl浓度、加入量、生长条件及其相互作用的影响。随着盐度灌溉的增加,所有研究材料的地上部分长度和叶面积显著减少(p<0.05),这与植物光合参数有关。与田间栽培相比,温室条件能促进更快、更旺盛的生长,叶面积更大。此外,在200 mM浓度下,DE-1的加入表现出更高的光合活性,在温室和露地条件下分别记录了195.66±3.56和120±1.13µmol·m−2·s−1的值。在这两种条件下,NaCl对所有材料的MDA和H2O2都有刺激作用,DE-1材料表现出最低的水平。蛋白质、糖、脯氨酸、过氧化物酶、抗坏血酸过氧化物酶和过氧化氢酶都受到盐胁迫的刺激,R-132登录除外。田间栽培导致了更严重的盐度反应。温室条件可以提高藜麦的耐盐性,因为生长条件要求较低。DE-1表现出最高的耐盐性,而R-132表现出最低。这项研究为进一步研究各种藜麦材料耐盐性的遗传基础奠定了基础,通过农业实践优化了含盐地区的生长,并在可持续农业的现实条件下证实了所获得的结果。
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引用次数: 1
Sensitivity Analysis of the WOFOST Crop Model Parameters Using the EFAST Method and Verification of Its Adaptability in the Yellow River Irrigation Area, Northwest China 基于EFAST方法的WOFOST作物模型参数敏感性分析及其在黄河灌区适应性验证
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-30 DOI: 10.3390/agronomy13092294
Xinlong Li, Junli Tan, Hong Li, Lili Wang, Guo-quan Niu, Xi’na Wang
Sensitivity analysis, calibration, and verification of crop model parameters improve crop model efficiency and accuracy, facilitating its application. This study selected five sites within the Ningxia Yellow River Irrigation Area. Using meteorological data, soil data, and field management information, the EFAST (Extended Fourier Amplitude Sensitivity Test) method was used to conduct first-order and global sensitivity analyses of spring wheat parameters in the WOFOST (World Food Studies Simulation) Model. A Structural Equation Model (SEM) analyzed the contribution of crop parameters to different simulation indices, with parameter sensitivity rankings being discussed under varying water supply and climate conditions. Finally, the adapted WOFOST model was employed to assess its applicability in the Ningxia Yellow River Irrigation Area. TMNFTB3.0 (correction factor of total assimilation rate at 3 °C), SPAN (life span of leaves growing at 35 °C), SLATB0 (specific leaf area in the initial period), and CFET (correction factor transpiration rate) showed higher sensitivity index for most simulation indices. Under the same meteorological conditions, different water supply conditions have a limited impact on crop parameter sensitivity, mainly affecting leaf senescence, leaf area, and assimilate conversion to storage organs. The corrected crop parameters significantly enhanced the wheat yield simulation accuracy by the WOFOST model (ME = 0.9964; RMSE = 0.2516; MBE = 0.1392; R2 = 0.0331). The localized WOFOST model can predict regional crop yield, with this study providing a theoretical foundation for its regional application, adjustment, and optimization.
作物模型参数的敏感性分析、校准和验证提高了作物模型的效率和准确性,便于其应用。本研究选取宁夏黄河灌区内的5个试验点。利用气象数据、土壤数据和田间管理信息,采用EFAST (Extended Fourier Amplitude Sensitivity Test)方法对WOFOST (World Food Studies Simulation)模型中春小麦参数进行一阶和全局敏感性分析。利用结构方程模型(SEM)分析了作物参数对不同模拟指标的贡献,并讨论了不同供水和气候条件下参数的敏感性排序。最后,对该模型在宁夏黄河灌区的适用性进行了评价。TMNFTB3.0(3°C总同化率校正因子)、SPAN(35°C生长叶寿命)、SLATB0(初始期比叶面积)和CFET(校正因子蒸腾速率)对大多数模拟指标的敏感性指数较高。在相同气象条件下,不同供水条件对作物参数敏感性的影响有限,主要影响叶片衰老、叶面积和同化物向贮藏器官的转化。修正后的作物参数显著提高了WOFOST模型的小麦产量模拟精度(ME = 0.9964;Rmse = 0.2516;Mbe = 0.1392;R2 = 0.0331)。本土化的WOFOST模型能够预测区域作物产量,为该模型的区域应用、调整和优化提供理论依据。
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引用次数: 0
Preliminary Evaluation of Four Legume and Grass Species to Compose Roadside Revegetation in Piauí, Brazil 巴西Piauí四种豆科和禾草植物组成路边植被的初步评价
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-30 DOI: 10.3390/agronomy13092283
A. Ribeiro, R. Edvan, Layne da Silva Vieira, Keurin Terezinha Bezerra Roder, D. M. Barros, André Pereira Batista, Rodolfo Molinário de Souza, Vanessa Paraguai, Emídio Neves de Moraes, A. C. Ferraz Filho
A trial was conducted to investigate the growth and production characteristics of four plant species, marking the initiation of research on roadside revegetation processes in the southern region of Piauí state, Brazil. The trial was conducted in greenhouse conditions to evaluate the response of the species—two native legumes (Arachis pintoi and Stylosanthes macrocephala) and two grasses (Brachiaria humidicula—non-native and Paspalum notatum—native)—under different fertilization and irrigation treatments. Data were collected in two harvest operations, measuring the following variables: total plant height, population density per pot, number of live leaves, plant moisture content, total forage biomass, and root biomass. The results suggested that fertilization and irrigation caused no significant effect on the major species development characteristics that allay with the highway agency interests. Arachis pintoi showed the best results with the lowest height (24.1 cm in Experiment 1 and 19.2 cm in Experiment 2) and the greatest total forage biomass yield (6.4 g plant−1 in Experiment 1 and 4.1 g plant−1 in Experiment 2). Thus, we recommend that the results found in this study should be extended to field experiments and long-term research. Because our study did not explore mixed-species designs, adopting such evaluation could offer advantages in achieving more comprehensive and resilient revegetation outcomes and help decision-making regarding target species to compose the roadside revegetation operations.
研究了巴西Piauí州南部地区4种植物的生长和生产特征,开启了对路边植被过程的研究。本试验在温室条件下,评价了两种本地豆科植物(arachhis pintoi和Stylosanthes macrocephala)和两种禾本科植物(Brachiaria humidicula-non-native和Paspalum - notatum-native)在不同施肥和灌溉处理下的反应。在两次收获作业中收集数据,测量以下变量:植株总高度、每盆种群密度、活叶数、植株含水量、总饲料生物量和根系生物量。结果表明,施肥和灌溉对主要物种发育特征的影响不显著,与公路代理利益相关。结果表明,平头花生的株高最低(试验1为24.1 cm,试验2为19.2 cm),总牧草产量最高(试验1为6.4 g,试验2为4.1 g)。因此,我们建议将本研究结果推广到田间试验和长期研究中。由于我们的研究没有探索混合物种设计,采用这种评估方法可以获得更全面和有弹性的植被恢复结果,并有助于制定目标物种组成的路边植被恢复操作决策。
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引用次数: 0
How Weather and Fertilization Affected Grain Yield and Stability of Winter Wheat in a Long-Term Trial in the South Moravian Region, Czech Republic 在捷克共和国南摩拉维亚地区的一项长期试验中,天气和施肥对冬小麦产量和稳定性的影响
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-30 DOI: 10.3390/agronomy13092293
L. Hlisnikovský, L. Menšík, P. Barłóg, E. Kunzová
We evaluated the impact of weather and fertilization treatments (Control, PK, NPK1, NPK2, and NPK3) on winter wheat grain yields in a long-term trial in Ivanovice, Czech Republic, established in 1956. A total of 15 seasons were evaluated. The mean, maximal, and minimal temperatures in Ivanovice have been significantly increasing since 1961, with annual increases of 0.04 °C, 0.03 °C, and 0.05 °C, respectively. Precipitation has been decreasing annually by −0.54 mm (trend is insignificant). Four significant correlations between weather and grain yield were recorded. There were positive correlations between mean (r = 0.7) and minimal (r = 0.5) temperatures in November and negative correlations between mean temperatures in May (r = −0.6) and June (r = −0.6). The combination of naturally fertile chernozem soil and a beneficial preceding crop (alfalfa) enables sustainable cultivation of wheat, even without mineral fertilizers. The application of mineral nitrogen (N) significantly increases wheat grain yield and yield stability. Without mineral N or with high doses of mineral N, yield stability decreases. According to two response models (quadratic and quadratic-plateau), a reasonable dose of fertilizer is 107 kg ha−1 N for modern wheat varieties, corresponding to a yield of 8.1 t ha−1.
1956年,在捷克共和国伊万诺维奇建立了一项长期试验,评估了天气和施肥处理(Control、PK、NPK1、NPK2和NPK3)对冬小麦产量的影响。共评估了15个季节。1961年以来,伊万诺维奇的平均气温、最高气温和最低气温呈显著上升趋势,年平均上升幅度分别为0.04℃、0.03℃和0.05℃。年降水量减少- 0.54 mm(趋势不显著)。记录了天气与粮食产量之间的四个显著相关性。11月平均气温(r = 0.7)与最低气温(r = 0.5)呈正相关,5月平均气温(r = - 0.6)与6月平均气温(r = - 0.6)呈负相关。天然肥沃的黑钙土和有益的前茬作物(紫花苜蓿)相结合,即使没有矿物肥料,也能实现小麦的可持续种植。施用矿质氮可显著提高小麦籽粒产量和产量稳定性。不施用无机氮或施用高剂量无机氮,产量稳定性下降。根据两种响应模型(二次和二次高原),现代小麦品种的合理施肥剂量为107 kg ha - 1 N,对应的产量为8.1 t ha - 1。
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引用次数: 0
Evolution of Hydrological Conditions and Driving Factors Analysis of the Yongding River in a Changing Environment: A Case Study of the Xiangshuipu Section 环境变化下永定河水文条件演变及驱动因素分析——以响水铺河段为例
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-30 DOI: 10.3390/agronomy13092289
Yiyang Yang, Siyu Cai, Hao Wang, Ping Wang, Wei Li
Hydrological conditions are key factors in the evaluation of water resources and ecosystems. The Yongding River Basin has many irrigated areas, and excessive agricultural water consumption has led to serious water shortages and ecosystem damage. To investigate the evolution of ecohydrological conditions and their driving factors in the Yongding River basin in a changing environment, this study combines indicators of hydrologic alteration with the range of variability approach (IHA-RVA) to identify the most ecologically relevant hydrological indicators (ERHIs) and to determine the periods of hydrological variability in the basin, using the Xiangshuipu section on the Yang River as the study area. By calculating the degree of hydrological alteration, the evolutionary pattern of ecohydrological conditions in the basin was analyzed, and the WetSpa model was used to quantitatively identify the contributions of climate change, reservoir storage, and irrigation water withdrawal to the alteration of hydrological conditions. The results showed that the rise and fall rate; maximum and minimum 1 day flows; dates of maximum flow; and July flows were the most ecologically relevant hydrological indicators for the Xiangshuipu section. Variability of this section occurred between 1982 and 1988; except for the annual maximum 1 day flows and fall rate, which underwent moderate changes; all other indicators exhibited small changes and the overall hydrological alteration of the Xiangshuipu section was low. The most influential change in the hydrological conditions was irrigation water withdrawal (from specific irrigation); followed by climate change and reservoir storage. The results of this study provide an important basis for water resources utilization and ecological management in the Yongding River basin.
水文条件是水资源和生态系统评价的关键因素。永定河流域有许多灌区,农业用水过度导致了严重的水资源短缺和生态系统破坏。为探讨永定河流域生态水文条件在变化环境下的演变及其驱动因素,本研究以杨河香水浦段为研究区,将水文蚀变指标与变异幅度法(IHA-RVA)相结合,确定了与生态最相关的水文指标(ERHIs),并确定了流域水文变异期。通过计算流域水文变化程度,分析流域生态水文条件演化模式,并利用WetSpa模型定量识别气候变化、水库蓄水量和灌溉引水量对流域水文条件变化的贡献。结果表明:上升速率和下降速率;最大和最小1天流量;最大流量日期;7月流量是最具生态相关性的水文指标。该剖面的变化发生在1982年至1988年之间;除年最大1日流量和年最大落差变化不大外;其他指标变化较小,香水铺断面整体水文变化率较低。影响最大的水文条件变化是灌溉取水量(来自特定灌溉);其次是气候变化和水库蓄水量。研究结果为永定河流域水资源利用和生态管理提供了重要依据。
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引用次数: 0
Determination of Gingerols and Shogaols Content from Ginger (Zingiber officinale Rosc.) through Microwave-Assisted Extraction 微波辅助萃取法测定生姜中姜辣素和姜酚的含量
IF 3.7 2区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2023-08-30 DOI: 10.3390/agronomy13092288
Monserrat González-González, Beatriz Juliana Yerena-Prieto, C. Carrera, Mercedes Vázquez-Espinosa, A. V. González-de-Peredo, M. García-Alvarado, M. Palma, G. C. Rodríguez-Jimenes, G. F. Barbero
Ginger (Zingiber officinale Rosc.) is a plant recognized for its pungent taste and aromatic qualities, primarily derived from its underground rhizome. Apart from its widespread culinary applications, ginger is valued for its potential health benefits attributed to the presence of gingerols and shogaols. For this reason, this work proposes the development of a microwave-assisted extraction (MAE) method for the extraction of gingerols and shogaols present in ginger rhizomes. The influence of the extraction temperature (50–100 °C), the solvent composition (50–100% ethanol in water), and the sample-to-solvent ratio (0.3–0.7 g sample: 20 mL) on the extraction of these bioactive compounds has been studied. To this end, a Box–Behnken experimental design (BBD) in combination with a response surface methodology (RSM) has been applied. The optimum conditions for the total extraction of gingerols and shogaols were: 87% ethanol in water, 100 °C, and 0.431 g of ginger sample in 20 mL solvent. The developed method required short extraction times (5 min) and demonstrated favorable levels of repeatability and intermediate precision (CV < 5%). Finally, the MAE method was successfully used for the extraction of gingerols and shogaols from a variety of ginger samples.
姜(Zingiber officinale Rosc.)是一种植物,以其辛辣的味道和芳香的品质而闻名,主要来源于其地下的根茎。除了广泛的烹饪应用外,生姜还因其潜在的健康益处而受到重视,这归功于姜辣素和姜酚的存在。为此,本研究提出了微波辅助提取方法,用于提取生姜根茎中的姜辣素和姜酚。研究了提取温度(50 ~ 100℃)、溶剂组成(50 ~ 100%乙醇水)、料液比(0.3 ~ 0.7 g样品:20 mL)对提取活性物质的影响。为此,采用Box-Behnken实验设计(BBD)结合响应面法(RSM)。姜辣素和姜酚的最佳提取条件为:87%乙醇,100℃,0.431 g生姜样品,20 mL溶剂。所开发的方法需要较短的提取时间(5分钟),并具有良好的重复性和中等精密度(CV < 5%)。最后,利用MAE法成功地从多种生姜样品中提取姜辣素和姜酚。
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Agronomy-Basel
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