Grass and Forage Science最新文献

{"title":"Chemical Composition, Fermentation Parameters and Losses of Silages From Different Hybrids of Biomass Sorghum","authors":"Yara A. Silva,&nbsp;Marco A. P. Orrico Junior,&nbsp;Marciana Retore,&nbsp;Gessí Ceccon,&nbsp;Tatiane Fernandes,&nbsp;Ana C. A. Orrico","doi":"10.1111/gfs.12706","DOIUrl":"https://doi.org/10.1111/gfs.12706","url":null,"abstract":"<div>\u0000 \u0000 <p>Due to their high productivity, biomass sorghum (<i>Sorghum bicolor</i> (L.) Moench) hybrids may be promising to maximise roughage production for ruminants. However, the variation in chemical composition among hybrids may impact the nutritional value and the fermentation process of the silages produced. Thus, the present study assessed the fermentation quality and chemical composition of silages from five hybrids of biomass sorghum. The experiment adopted a 5 × 2 factorial randomised block design with five biomass sorghum hybrids (CMSXS5039, CMSXS5044, CMSXS7102, CMSXS7103 and BRS 716) sowed in two municipalities of the state of Mato Grosso do Sul, Brazil (Dourados and Jateí). The parameters assessed were chemical composition, in vitro dry matter digestibility, profile of short-chain organic acids, pH, ammonia, fermentation losses and aerobic stability. The silages produced from CMSXS7102, CMSXS7103 and BRS 716 in Dourados had higher fibre content and lower digestibility coefficients. In contrast, hybrids with higher non-fibrous carbohydrate content and lower lignin levels, such as CMSXS5044 and CMSXS5039, exhibited the best digestibility values. Silages produced in Jateí had higher moisture content, which resulted in increased effluent losses, particularly for the CMSXS5044 (450 kg ton⁻¹ DM) and CMSXS5039 (320 kg ton⁻¹ DM) hybrids. This higher effluent production in Jateí led to lower soluble protein (SP) and degradable protein (DP) concentrations compared to the silages from Dourados. Additionally, the higher moisture content in Jateí promoted the production of butyric acid in the silages. Silages from the CMSXS5039 hybrid (70.5 g kg⁻¹ DM) had the highest lactic acid content; however, no significant difference was observed in acetic acid levels between the treatments. Overall, all the sorghum biomass hybrids tested produced silages with good fermentative and nutritional quality, but CMSXS5039 stood out in most of the parameters evaluated.</p>\u0000 </div>","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"80 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation of Annual Productivity of Sown Rainfed Grasslands Using Machine Learning","authors":"Tiago G. Morais,&nbsp;Marjan Jongen,&nbsp;Camila Tufik,&nbsp;Nuno R. Rodrigues,&nbsp;Ivo Gama,&nbsp;João Serrano,&nbsp;Tiago Domingos,&nbsp;Ricardo F. M. Teixeira","doi":"10.1111/gfs.12707","DOIUrl":"https://doi.org/10.1111/gfs.12707","url":null,"abstract":"<div>\u0000 \u0000 <p>Grasslands play a critical role in providing diverse ecosystem services. Sown biodiverse pastures (SBP) rich in legumes are an important agricultural innovation that increases grassland productivity and reduces the need for fertilisers. This study developed a machine learning model to obtain spatially explicit estimations of the productivity of SBP, based on field sampling data from five Portuguese farms during four production years (2018–2021) and under two fertilisation regimes (conventional and variable rate). Weather data (such as temperature, precipitation and radiation), soil properties (including sand, silt, clay and pH), terrain characteristics (including elevation, slope, aspect, hillshade and topographic position index), and management data (including fertiliser application) were used as predictors. A variance inflation factor (VIF) approach was used to measure multicollinearity between input variables, leading to only 11 of the 53 input variables being used. Artificial neural network (ANN) methods were used to estimate pasture productivity, and hyper-parameterization optimization was performed to fine-tune the model. Plots under variable rate fertilisation were significantly improved by up to 20 kg P ha⁻¹ applied in the same year. Plots under conventional fertilisation benefitted the most from fertilisation in past years. The model demonstrated good generalisation, with similar estimation errors for both the training and test sets: for an average yield of 6096 kg ha⁻¹ in the sample, the root mean squared errors (RMSE) for the training and test sets were respectively 882 and 1125 kg ha⁻¹. These results indicate that the model did not overfit the training data and can be used to estimate SBP productivity maps in the sampled farms. However, further studies are required to asses if the obtained model can be applied to new unseen data.</p>\u0000 </div>","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"80 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effect of Seeding Rate and Perennial Ryegrass Ploidy on Sward Botanical Composition and Herbage Production in Binary Mixtures Under Sheep Grazing","authors":"L. McGrane,&nbsp;T. M. Boland,&nbsp;N. McHugh,&nbsp;P. Creighton","doi":"10.1111/gfs.12703","DOIUrl":"https://doi.org/10.1111/gfs.12703","url":null,"abstract":"<p>There are numerous benefits to the inclusion of clover and non-leguminous forb species in grassland swards for pasture-based sheep production, however there is a notable lack of management advice available for the use of these diverse swards, representing a significant barrier to on farm uptake. The aim of this study was to investigate the effect of seeding rate (SR) and perennial ryegrass ploidy on sward botanical composition, herbage production and herbage quality of binary sward mixtures under sheep grazing. The swards investigated were perennial ryegrass (<i>Lolium perenne</i> L.) plus white clover (<i>Trifolium repens</i> L.), perennial ryegrass plus red clover (<i>Trifolium pratense</i> L.), perennial ryegrass plus plantain (<i>Plantago lanceolata</i> L.) and perennial ryegrass plus chicory (<i>Cichorium intybus</i> L.). A set total SR of 25 kg ha⁻¹ was used in all treatments, within which clover seed was included at rates of 2.5, 5.0 or 7.5 kg clover ha⁻¹, and forb seed was included at rates of 2.0, 3.5 or 5.0 kg forb ha⁻¹ for the Low SR, Med SR and High SR treatments, respectively. The binary swards were sown with a diploid or tetraploid perennial ryegrass. Results indicate that SR had a significant effect on sward botanical composition and that within the inclusion rates used in this study, SR treatments of 2.5, 3.5, 5.0 and 7.5 kg ha⁻¹, were sufficient for the establishment of white clover, chicory, red clover and plantain, respectively, in a binary sward mixture. The tetraploid swards expressed a lower perennial ryegrass tiller density relative to diploid swards, which was beneficial for the establishment of white clover and plantain.</p>","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"80 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gfs.12703","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Grasses of Saudi Arabia: A Review","authors":"Osama H. Sayed,&nbsp;Yahya S. Masrahi","doi":"10.1111/gfs.12705","DOIUrl":"https://doi.org/10.1111/gfs.12705","url":null,"abstract":"<div>\u0000 \u0000 <p>Grasses are found in all Saudi Arabia habitats. Their success pertains to diverse growth habits, specific morpho-anatomical features and distinctive photosynthetic attributes. Their composite evolution involved Early-Cenozoic appearance in open-habitats, Mid-Cenozoic dominance in temperate regions and Late-Cenozoic spread into tropics. This process is reflected in composite grassland development with Paleogene appearance of open-habitat grasslands, Mid-Neogene expansion of temperate grasslands and Late-Neogene spread of tropical savannas. Holocene grass domestication involved genetic changes that induced traits pivotal for grass spread into new habitats. Palaeoanthropological evidence also revealed a crucial interplay between grass domestication and human agrarian history. Saudi Arabia diverse topography, vast latitudinal span, and steep altitudinal gradient encourage broad grass diversity distributed over saline saltmarshes, dry sand dunes, dry desert plains, arid desert pavements, cool highlands and cold mountains. This review briefly discusses grass origin, evolution, domestication and photosynthesis. It concisely describes geodiversity and climate of Saudi Arabia and presents comprehensive analysis of its grass origin, domestication, taxonomy, diversity, tolerance and photosynthesis. Grass distribution is also extensively discussed in relation to climatic gradients, edaphic properties, grass chorology and photosynthetic attributes crucial for species acclimation potential.</p>\u0000 </div>","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"80 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sward Species Diversity Impacts on Pasture Productivity and Botanical Composition Under Grazing Systems","authors":"A. Jezequel,&nbsp;L. Delaby,&nbsp;J. A. Finn,&nbsp;Z. C. McKay,&nbsp;B. Horan","doi":"10.1111/gfs.12700","DOIUrl":"https://doi.org/10.1111/gfs.12700","url":null,"abstract":"<p>This research investigated the effect of intensive grazing on the annual and seasonal yield and botanical composition of three sward types: (1) <i>Lolium perenne</i> monoculture sward receiving 250 kg nitrogen (N) ha⁻¹ year⁻¹ (PRG 250 N); (2) <i>\u0000 Lolium perenne—Trifolium repens\u0000 </i> sward receiving 125 kg N ha⁻¹ year⁻¹ (PRGWC 125 N) and (3) a multispecies sward comprising eight species receiving 125 kg N ha⁻¹ year⁻¹ (MSS 125 N). Each sward type had its own farmlet of 20 paddocks and comprising 47 cows on 18.7 ha with each group of cows remaining on the same farmlet for the 2-year study. Total yield (13,015 kg ha⁻¹ year⁻¹ of dry matter forage) did not differ among the three sward types, despite a substantial difference in chemical N fertiliser between PRG 250 N and both PRGWC 125 N and MSS 125 N. Average botanical composition of PRG 250 N comprised 994 g kg⁻¹ grasses and 6 g kg⁻¹ weeds. The PRGWC 125 N sward had 864, 134 and 2 g kg⁻¹ of grasses, white clover and weeds, respectively, while the MSS 125 N had 671, 144, 180 and 5 g kg⁻¹ of grasses, legumes, forbs and weeds, respectively. Despite considerable variation in the component species, nutritive values were relatively unaffected by sward type. Lower organic matter digestibility was observed on MSS 125 N compared to PRG 250 N and PRGWC 125 N (788, 801 and 799 g kg⁻¹, respectively). These results suggest that increasing sward diversity and reducing the use of chemical N fertiliser can maintain grass yield and nutritive value.</p>","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"79 4","pages":"651-665"},"PeriodicalIF":2.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gfs.12700","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143187223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Survival of 13 Forage Legumes in Contrasting Environments of Central Otago, New Zealand","authors":"Lucy E. Bell,&nbsp;Jim L. Moir,&nbsp;Alistair D. Black","doi":"10.1111/gfs.12702","DOIUrl":"https://doi.org/10.1111/gfs.12702","url":null,"abstract":"<div>\u0000 \u0000 <p>The lack of suitable perennial and annual forage legumes strongly constrains the productivity and sustainability of upland grasslands in New Zealand. Legumes support sustainable grassland production through nitrogen fixation and increased yields. However, traditional legume species such as white clover (<i>Trifolium repens</i> L.) struggle to persist within New Zealand's upland climatic and edaphic conditions characterised by acid, low fertility soils and short growing seasons. To address this challenge, we assessed the survival of 13 forage legume species over 2 years at three field sites across Central Otago, capturing the districts varied precipitation and temperature profiles. Legume survival rates, biomass and weather data were measured. Notably, lotus (<i>Lotus pedunculatus</i> Cav.) exhibited 100% survival over the 2 years on high altitude acidic, low fertility soils, whereas other perennial legume species showed limited persistence (0%–55% survival) and low biomass production. Crimson clover (<i>Trifolium incarnatum</i> L.) had the greatest Year 1 establishment and biomass of annual legumes species at low and medium rainfall sites. Moreover, strong Year 1 seed set and subsequent regeneration in Year 2 were observed for crimson clover, striated clover (<i>Trifolium striatum</i> L.), and subterranean clover (<i>Trifolium subterraneum</i> L.) (cvs. Denmark and Narrikup). These findings underscore the potential of these annual legume species in dryland environments due to their regeneration capacity before summer drought onset. Climate emerged as a pivotal determinant influencing the viability of less resilient species across all trial locations. Lotus and crimson clover are alternative legume species with the potential to enhance sustainable grassland productivity in New Zealand's upland farming systems.</p>\u0000 </div>","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"79 4","pages":"591-603"},"PeriodicalIF":2.7,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143187086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Special issue on green biorefining","authors":"Marketta Rinne","doi":"10.1111/gfs.12695","DOIUrl":"https://doi.org/10.1111/gfs.12695","url":null,"abstract":"","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"79 4","pages":"479-480"},"PeriodicalIF":2.7,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gfs.12695","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Net Mixture Effects on Nutritive Value in Lucerne-Grass Swards of Varied Composition and Diversity","authors":"Sebastian Christoph Glowacki,&nbsp;Martin Komainda,&nbsp;Edmund Leisen,&nbsp;Jürgen Hummel,&nbsp;Johannes Isselstein","doi":"10.1111/gfs.12699","DOIUrl":"https://doi.org/10.1111/gfs.12699","url":null,"abstract":"<p>Climate change and associated risks of extreme weather has led to growing interest in drought-tolerant species such as lucerne (<i>Medicago sativa</i> L.), tall fescue (<i>Festuca arundinacea</i> Schreb.) and cocksfoot (<i>Dactylis glomerata</i> L.) in mixed grass-legume forage production in North-Western Europe. Lucerne and grasses have distinct nutritive value that can be combined when grown in mixtures. The extent of a ‘net mixture effect’ (NE) on the nutritive value, that is the deviations of the mixture quality from the expected one derived from the pure stands, has not been studied in any depth and requires further investigation in the context of climate change. The present study was conducted at four sites during two main cropping years with the aim of comparing potentially drought-tolerant mixtures against pure stands. With significant sward type × site × year interactions, nutritive value of the mixed swards often differed significantly from pure stands, ranging intermediate between the component pure stand nutritive value. The concentration of water-soluble carbohydrate (WSC) did not differ between mixtures and lucerne pure stands. Significant NE were found, with larger measured concentrations in mixtures compared to those predicted, for neutral and acid detergent fibre and the crude protein:WSC ratio. The concentrations of WSC and metabolizable energy were smaller than expected. The NE was not influenced by sward type or species number, except for WSC at a few sites. The results show that improved knowledge of positive mixing effects could be used to specifically enhance the nutritive value in grasses-lucerne mixtures irrespective of sward diversity.</p>","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"79 4","pages":"703-715"},"PeriodicalIF":2.7,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gfs.12699","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143187316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Climate Change and Human Activities Contribute to the Enhancement Recovery of Grassland Productivity in Xinjiang","authors":"Yeye Li,&nbsp;Yiqiang Dong,&nbsp;Yongjuan Zhang,&nbsp;Bin Zhang,&nbsp;Congjuan Li","doi":"10.1111/gfs.12698","DOIUrl":"https://doi.org/10.1111/gfs.12698","url":null,"abstract":"<div>\u0000 \u0000 <p>Grasslands, as a vital component of arid and semi-arid terrestrial ecosystems, play a pivotal role in carbon cycling and ecosystem functioning. Climate change and human activities significantly affected grassland productivity. Understanding the main driving factors and their contribution rates is of great significance for the protection and sustainable development of grasslands. However, we still lack a comprehensive understanding of the changes in grassland productivity and their driving factors in Xinjiang. This study investigated the spatiotemporal characteristics and underlying driving factors of grassland actual net primary productivity (AcNPP) in Xinjiang from 2000 to 2022, utilising the Carnegie-Ames-Stanford Approach and geospatial detectors. Employing the nonlinear Random Forest technique, we assessed the dual impacts of climate change and human activities on grassland productivity. Our findings revealed that grassland productivity in Xinjiang exhibited fluctuating growth during this period, with an average annual AcNPP growth rate of 0.33 g C m⁻² year⁻¹. Comprehensive evaluation revealed that soil type, precipitation, and soil moisture content were the key determinants of the spatial distribution of AcNPP, with higher values in mountainous regions and lower in basins. The study further revealed that climate change, human activities, and their combined effects contributed to the recovery of 60.97% of grasslands in Xinjiang. However, human activities were the primary drivers of grassland degradation, with a contribution rate reaching 67.71%. Further analysis indicated that water conditions, particularly precipitation and soil moisture content, were the main forces driving grassland changes in Xinjiang. Although grazing management strategies, such as rotational stocking and deferred stocking, facilitated grassland recovery in 36.71% of areas impacted by human activities, grazing remains a significant anthropogenic factor contributing to grassland degradation. These findings provide valuable scientific insights for the effective management and conservation of Xinjiang's grassland ecosystems.</p>\u0000 </div>","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"79 4","pages":"716-733"},"PeriodicalIF":2.7,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143187183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shufflenetv2UNet: An improved neural network model for grassland sample coverage extraction","authors":"Yunyu Liu,&nbsp;Tonghai Liu,&nbsp;Fanzhen Wang,&nbsp;Hongxiao Shi,&nbsp;Hai Wang,&nbsp;Bagen Hasi,&nbsp;Fangyu Gao,&nbsp;Changqin Liu,&nbsp;Hua Li","doi":"10.1111/gfs.12697","DOIUrl":"https://doi.org/10.1111/gfs.12697","url":null,"abstract":"<p>Accurate extraction of grassland sample coverage is crucial for regional ecological environment monitoring. Due to the strong feature learning capability, high flexibility, and scalability of deep learning methods, they have great potential in grassland sample extraction modelling. However, we still lack a model that can achieve both lightweight structure and effective performance for small object segmentation to considering the small target characteristics of grassland vegetation and the requirements for model deployment in later stages. Here, we combined the UNet model, which performs well in small target segmentation, with the lightweight network Shufflenetv2 model, proposing an improved UNet neural network, Shufflenetv2UNet, for grassland sample coverage extraction. The core of Shufflenetv2UNet is the removal of maximum pooling and double-layer convolution modules from downsampling in the UNet neural network. In addition, the Inverted Residual Block structure module from Shufflenetv2 was added to achieve a lightweight model and improved extraction accuracy. The Shufflenetv2UNet achieves an accuracy of 98.23%, with a parameter size of 50.74 M, and a model inference speed of 0.004 s. Compared to existing extraction methods, this model has advantages in prediction accuracy, parameter size, and model inference speed. Moreover, Shufflenetv2UNet achieved different types of grassland sample coverage extractions, with good robustness, generalization, and universality, enabling investigators to quickly and accurately obtain grassland sample coverage. This allows more dynamic and accurate ground measurement data for regional grassland environmental monitoring.</p>","PeriodicalId":12767,"journal":{"name":"Grass and Forage Science","volume":"79 4","pages":"516-529"},"PeriodicalIF":2.7,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143186906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}