Agricultural & Environmental Letters最新文献

{"title":"Including non-growing season emissions of N2O in US maize could raise net CO2e emissions by 31% annually","authors":"Brian Buma","doi":"10.1002/ael2.20146","DOIUrl":"https://doi.org/10.1002/ael2.20146","url":null,"abstract":"<p>Nitrous oxide (N₂O) is a significant greenhouse gas and the most important currently emitted ozone depleting substance, primarily via agricultural fertilization. Current N₂O emission estimation methods at the national scale are predominantly via emission factors. Models estimating national-scale emissions are focused on growing season emissions. However, a substantial fraction of N₂O can be emitted during non-growing season periods. Using newly published off-season N₂O emission ratio maps and high-resolution nitrogen application data, this study explores the potential magnitude of underestimated N₂O emissions if using only the default growing-season focused methodology. Although there is large variation at county scales (12%–35%), non-growing season national emissions are estimated at 31% of the total, a potential 12,000 Gg CO₂e year⁻¹. Further work should better refine emission estimates spatially as well as fully integrate estimates across growing and non-growing seasons.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20146","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-correlating soil aggregate stability methods to facilitate universal interpretation","authors":"Deborah Aller,&nbsp;Joseph P. Amsili,&nbsp;Harold M. van Es","doi":"10.1002/ael2.20145","DOIUrl":"https://doi.org/10.1002/ael2.20145","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 \u0000 <p>Aggregate stability is a critical physical indicator of soil health. However, multiple methods are used for measuring aggregate stability, making it difficult to compare results and limiting universal interpretations in soil health assessment frameworks like Soil Health Assessment Protocol and Evaluation. We cross-correlated three common water-stable aggregate methods (WSA_CASH, WSA_ARS, and WSA_SLAKES) using a dataset of nearly 1400 samples and developed pedotransfer functions using random forest models to evaluate method performance. We found that the WSA_ARS and WSA_CASH methods can be reasonably cross correlated through pedotransfer functions because they use similar processes for estimating aggregate strength. Conversely, the WSA_ARS and WSA_SLAKES methods are not transferable. We suggest that the WSA_ARS aggregate stability method is the most established and best reference method for use in soil health analysis frameworks. Interpretation consistency will lead to more robust comparisons of aggregate stability as a key physical soil health indicator.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Core Ideas</h3>\u0000 \u0000 <div>\u0000 <ul>\u0000 \u0000 <li>Different approaches for measuring aggregate stability prevent generalized result interpretation.</li>\u0000 \u0000 <li>The water-stable aggregate wet sieve procedure (WSA_ARS) is proposed as the reference method for interpretation.</li>\u0000 \u0000 <li>Other soil aggregate stability methods can be variably correlated with WSA_ARS.</li>\u0000 </ul>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141991596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revisiting agricultural science and organic farming","authors":"Kristian Nikolai Jæger Hansen","doi":"10.1002/ael2.20139","DOIUrl":"https://doi.org/10.1002/ael2.20139","url":null,"abstract":"<p>The decision whether to manage agriculture according to organic farming principles or conventional farming is a question bigger than scientific inquiry; it constitutes a political question. Similarly, deciding the regulations governing organic and conventional production does not fall within the pursuit of science. Rather, science should show how different management practices influence the environment. The regulatory framework of organic farming is derived from normative values rather than scientific principles, which now categorizes the production.</p><p>McGuire (<span>2017</span>) contend that ideology and science do not blend well. However, researchers inherently possess normative values, which shape their research interests and perspectives. It could be argued that this is only problematic when the goal of the scientific pursuit and ideology crosses, thus becoming activistic. This can harm the scientific process by drawing wrongful conclusions upon poorly constructed experiments, and thus the scientific process in general. All scientific decisions—for example., formulating a research question, designing the study, and analyzing the data—are conducted by humans, with values and experiences influencing their choices, therefore including some normative values (Reed, <span>2011</span>; Risjord, <span>2016</span>). While this is generally recognized by social sciences, natural sciences often neglect it.</p><p>Analysis of studies comparing the environmental impacts of organic and conventional farming show variation in environmental impact, as for dairy production (Cederberg &amp; Mattsson, <span>2000</span>; De Boer, <span>2003</span>; Kristensen et al., <span>2011</span>; Thomassen et al., <span>2008</span>). When assessing the two production regimes the production level between the systems is seemingly important. This is because emission or environmental impact are often divided upon the emission per produced product, which as an effect of production levels obtained is favoring higher production. Organic farming utilizes less resources per produced product, but often has a lower productivity. Organic farming, however, often claims other ideologic values besides production, such as health, ecology, fairness, and care (IFOAM, <span>2005</span>).</p><p>Comparison of organic and conventional management also raises the question of whether the production systems are similar enough to be comparable. Both organic and conventional production can be described with the goal to produce goods to sell, while somehow having different aims. Organic farming emphasizes different values, complicating direct statistical comparisons with conventional systems, since these values are not described with a reductionistic approach. The external values in organic production seem to have a cost, often resulting in lower productivity than conventional production.</p><p>The reasoning of McGuire (<span>2017</span>), who advocates that organic agriculture should change its ","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141991597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trends in the yield response to nitrogen of winter wheat in Oklahoma","authors":"Amadeo F. Panyi,&nbsp;B. Wade Brorsen","doi":"10.1002/ael2.20143","DOIUrl":"https://doi.org/10.1002/ael2.20143","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 \u0000 <p>This study seeks to explain how the response of winter wheat (<i>Triticum aestivum L</i>.) to nitrogen at Lahoma, OK, has changed over time. This objective was motivated by the need for accurate estimation of optimal nitrogen recommendations and to understand why optimal nitrogen rates have changed over time. Yields increased over time, except at the 0 and 22 kg N ha⁻¹ rates of applied nitrogen. Bayesian methods were used to estimate linear plateau models where each parameter has its own time trend. Results show no trend in intercept, an increase of 1.3% per year in the slope coefficient, a 1.9% per year increase in the difference between the plateau and intercept, and a 33% increase in the optimal nitrogen rates from 1971 to 2023. These trends suggest the need to update nitrogen recommendations and help explain why the yield goal approach became imprecise over time due to changing yield potential.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Core Ideas</h3>\u0000 \u0000 <div>\u0000 <ul>\u0000 \u0000 <li>The yield of winter wheat went up over time with nitrogen rates of 45 kg N ha⁻¹ or higher.</li>\u0000 \u0000 <li>The yield on check plots with no nitrogen did not change.</li>\u0000 \u0000 <li>The slope and plateau of the linear plateau model of wheat yield response went up over 1% per year.</li>\u0000 \u0000 <li>Optimal nitrogen went up over 33% over time based on the estimated linear response stochastic plateau model.</li>\u0000 </ul>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence in soil science: Where do we go now?","authors":"Jose Pablo Castro,&nbsp;Caley K. Gasch,&nbsp;Paulo Flores","doi":"10.1002/ael2.20134","DOIUrl":"https://doi.org/10.1002/ael2.20134","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 \u0000 <p>Recognizing the fast advancement of artificial intelligence (AI) in soil science, the main objective of this commentary paper is to discuss how this technology is being incorporated into the discipline, focusing on the most common algorithms and their applications. Employing a discursive and reflective methodology, the article draws insights from the authors' expertise and opinions. The paper explores some ethical considerations and the potential impact of AI on the job market and calls for a balanced approach that maximizes the benefits of this technology while vigilantly mitigating its negative implications to ensure the integrity and inclusivity of the profession.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Core Ideas</h3>\u0000 \u0000 <div>\u0000 <ul>\u0000 \u0000 <li>Artificial intelligence (AI) is changing soil science with advanced analytic and predictive modeling tools.</li>\u0000 \u0000 <li>Ethical AI in soil science should focus on data integrity, privacy, and transparent research.</li>\u0000 \u0000 <li>AI is reshaping the soil science job market, emphasizing the need for adaptability, and continuous learning.</li>\u0000 \u0000 <li>Collaboration between technology and soil experts can lead to groundbreaking research and academic solutions.</li>\u0000 \u0000 <li>AI, as a complementary tool, can enhance soil scientists' expertise, creativity, and problem-solving abilities.</li>\u0000 </ul>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141966668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Communicating the use of artificial intelligence in agricultural and environmental research","authors":"Aaron Lee M. Daigh,&nbsp;Samira H. Daroub,&nbsp;Peter M. Kyveryga,&nbsp;Mark E. Sorrells,&nbsp;Nithya Rajan,&nbsp;James A. Ippolito,&nbsp;Endy Kailer,&nbsp;Christine S. Booth,&nbsp;Umesh Acharya,&nbsp;Deepak Ghimire,&nbsp;Saurav Das,&nbsp;Bijesh Maharjan,&nbsp;Yufeng Ge","doi":"10.1002/ael2.20144","DOIUrl":"https://doi.org/10.1002/ael2.20144","url":null,"abstract":"<p>Transformative technologies such as artificial intelligence (AI) make difficult tasks more accessible and convenient. Since 2018, the use of AI in research has increased drastically, with annual publication rates of 3–5 times higher than pre-2017. Currently, &gt;100,000 manuscripts using AI are published annually within science and engineering, and &gt;20,000 of these belong to the agricultural and environmental fields. Given the magnitude of use, clear communication on how AI is used and how it helps advance scientific knowledge is essential. Clear communication is perhaps more necessary with AI than previous technologies due to its broad and flexible spectrum of uses, the “black-box” nature of deep-learning algorithms, and ongoing debates regarding AI's predictive power versus knowledge of first-principles mechanistic and process-based theories and models. In this commentary, we provide guidelines and discussion points to the scientific community to ensure transparent and effective communication of AI research in agricultural and environmental research publications.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Crop advisors in the intermountain west and the challenges of soil health","authors":"Peggy Petrzelka,&nbsp;Jessica D. Ulrich-Schad,&nbsp;Matt Yost,&nbsp;Matthew J. Barnett","doi":"10.1002/ael2.20142","DOIUrl":"10.1002/ael2.20142","url":null,"abstract":"<p>Both agricultural lands and the role of crop advisors remain comparatively understudied in the Intermountain West (IMW) when it comes to the topic of soil health. Data from a survey of crop advisors in Utah is used to understand current and future soil health work in the region. Not all crop advisors engage in soil health work, but more are discussing it with clients than in the past. Respondents noted that information and costs are key barriers for farmers to managing soil health. Advisors also do not always feel they have the information and answers about soil health practices that farmers need. While crop advisors are one option for promoting producer understanding about soil health in the IMW, work is needed to better prepare them, and farmers will need other options and support to be successful in managing soil health.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141804131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of wind speed and net radiation on the oasis effect in temperate rice paddy fields","authors":"Hyunki Kim,&nbsp;Bo-Kyeong Kim,&nbsp;Hyun-Dong Moon,&nbsp;Seo-Ho Shin,&nbsp;Hyeong Ju Lee,&nbsp;Jong-Sung Ha,&nbsp;Seungtaek Jeong,&nbsp;Jong-Min Yeom,&nbsp;Yoon Hyung Kim,&nbsp;Jaeil Cho","doi":"10.1002/ael2.20141","DOIUrl":"https://doi.org/10.1002/ael2.20141","url":null,"abstract":"<p>The oasis effect, characterized by atmospheric cooling due to excessive evapotranspiration (ET) and the inflow of warm air from the surroundings, has been well documented in vegetated oases. Despite its significant ET rates, the atmospheric cooling phenomenon in rice paddies has not received extensive exploration. This study investigates the oasis effect during July and August, the peak months for ET in rice fields in temperate climate. Over 3 years (2020–2022), energy flux observations using the eddy covariance method were conducted to analyze atmospheric cooling in paddy fields. The findings revealed a pronounced atmospheric cooling effect associated with negative sensible heat in paddy fields. Moreover, this cooling phenomenon exhibited heightened activity during periods of increased wind speeds (&gt;3.5 m/s) and subdued net radiation (&lt;400 W/m²). These results highlight rice paddies' potential to cool the atmosphere, acting as a countermeasure against global warming and the urban heat island effect.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20141","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Creating a bio-based circular economy from Louisiana sugarcane byproducts","authors":"G. Aita,&nbsp;D. Bhatnagar,&nbsp;G. O. Bruni,&nbsp;M. Deliberto,&nbsp;G. Eggleston,&nbsp;A. Finger,&nbsp;K. Gravois,&nbsp;M. Isied,&nbsp;W. Judice,&nbsp;K. T. Klasson,&nbsp;I. M. Lima,&nbsp;J. L. Purswell,&nbsp;M. Souliman,&nbsp;E. Terrell,&nbsp;B. S. Tubaña,&nbsp;H. L. Waguespack Jr.,&nbsp;J. J. Wang,&nbsp;P. M. White Jr.","doi":"10.1002/ael2.20140","DOIUrl":"https://doi.org/10.1002/ael2.20140","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 \u0000 <p>Sugarcane (<i>Saccharum officinarum</i>) is Louisiana's number one row crop. Growing and processing sugarcane produces significant amounts of byproducts, including bagasse, crop residue, molasses, filter-press mud, and boiler fly ash. These products represent an important opportunity to generate value-added and specialty products and enhance sugarcane's sustainability by facilitating a circular economy, where agricultural by-products are reused instead of disposing them (linear economy), in order to reduce resource use and energy demand. Examples of value-added products range from biochar, construction materials, animal feed, biofuels, nanoparticles, and fertilizer. Paramount to the success of the bio-based circular economy is creating useful products that are sustainable, economically, and environmentally acceptable. Some potential roadblocks to creating a successful bio-based circular economy from Louisiana's sugarcane by-products are highlighted.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Core Ideas</h3>\u0000 \u0000 <div>\u0000 <ul>\u0000 \u0000 <li>The Louisiana sugar industry produces large amounts of biomass-derived byproducts each year.</li>\u0000 \u0000 <li>Byproducts could be reused, recycled, or reformed instead of being discarded.</li>\u0000 \u0000 <li>Creating industries around these products boosts the circular economy.</li>\u0000 </ul>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20140","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High rhizospheric ammonium levels in Sorghum halepense (johnsongrass) suggests nitrification inhibition potential","authors":"Eeshita Ghosh,&nbsp;Nithya Rajan,&nbsp;Dinesh Phuyal,&nbsp;Nithya Subramanian,&nbsp;Muthukumar Bagavathiannan","doi":"10.1002/ael2.20137","DOIUrl":"https://doi.org/10.1002/ael2.20137","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 \u0000 <p>Plants, such as sorghum (<i>Sorghum bicolor</i>), have been shown to secrete root exudates involved in biological nitrification inhibition (BNI), an ability to suppress the conversion of ammonium to nitrate and thereby minimize its loss. Johnsongrass (<i>Sorghum halepense</i>), a weedy relative of cultivated sorghum, may also possess BNI potential, but little is known in this regard. Here, we conducted a field survey at seven different sites in Southeast Texas to determine this evolutionary trait of johnsongrass in different soil environments. It was found that johnsongrass rhizosphere retains high levels (&gt;60%) of ammonium within the total available N (ammonium + nitrate). Furthermore, the degree of ammonium retention by johnsongrass rhizosphere was significantly greater (up to 40%) in the roadside habitat compared to cultivated fields. The high ammonium retention potential by johnsongrass may explain, in part, their persistence and dominance, especially in marginal environments.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Core Ideas</h3>\u0000 \u0000 <div>\u0000 <ul>\u0000 \u0000 <li>Nitrogen is a limiting nutrient for plant growth, and nitrification causes loss of nitrogen.</li>\u0000 \u0000 <li>Ammonium retention was higher in roadside johnsongrass biotypes compared to that of cropland biotypes.</li>\u0000 \u0000 <li>The high rhizoshpheric ammonium retention by johnsongrass may explain, at least in part, its invasiveness.</li>\u0000 \u0000 <li>This trait could be further investigated and integrated into modern sorghum cultivars.</li>\u0000 </ul>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}