农学最新文献

{"title":"Broadening the gene base of peanut breeding using incompatible wild species","authors":"Chunjiao Jiang,&nbsp;Jiakai Li,&nbsp;Haojie Sun,&nbsp;Zhiwei Wang,&nbsp;Zhen Yang,&nbsp;Chuantang Wang","doi":"10.1016/j.ocsci.2024.11.004","DOIUrl":"10.1016/j.ocsci.2024.11.004","url":null,"abstract":"<div><div>The cultivated peanut (<em>Arachis hypogaea</em> L.) is a significant edible oilseed crop. Although substantial progress has been made in breeding new peanut varieties through conventional methods, the narrow gene base of the cultivated peanut (stemming from six evolutionary bottlenecks) poses growing challenges for developing breakthrough varieties via intraspecific hybridization alone. Consequently, extensive efforts have been directed towards the utilization of incompatible wild <em>Arachis</em> species. In this study, we present the first genetic diversity assessment of 30 progenies derived from intersectional crosses between the high-oleic peanut cultivar Huayu 665 and two wild species, <em>A. paraguariensis</em> and <em>A. appresipilla</em>, alongside 32 cultivated materials and 29 wild accessions, using transposon element markers. The hybrids demonstrated greater genetic diversity than the cultivars, expanding the gene base for peanut breeding. Hybrid progenies with enhanced insect pest resistance and elevated levels of both oleic acid and oil/protein content were tentatively obtained. This work lays the groundwork for the future development of high-yielding, high-quality peanut varieties through the utilization of crop wild relatives.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 1","pages":"Pages 44-50"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The research process of clubroot disease and related control strategies in Brassica","authors":"Yaqi Deng ,&nbsp;Zhiwen Zhang ,&nbsp;Lili Liu ,&nbsp;Tonghua Wang ,&nbsp;Mei Li ,&nbsp;Dawei Zhang ,&nbsp;Mingli Yan","doi":"10.1016/j.ocsci.2024.11.002","DOIUrl":"10.1016/j.ocsci.2024.11.002","url":null,"abstract":"<div><div><em>Brassica</em> clubroot caused by <em>Plasmodiophora brassicae</em> has been identified as a severe soil-borne disease that poses a significant threat to plants root systems. The disease results in the formation of tumorous enlargements in the roots, leading to wilting and eventual plant death. Consequently, crop yield is drastically reduced, causing substantial economic losses in agriculture. The current study aims to provide a comprehensive overview of recent research process on <em>Brassica</em> clubroot, focusing on the biological characteristics, physiological race identification, and pathogenic mechanism of <em>P. brassicae</em>. Furthermore, it covers the latest advancements in the comprehensive prevention and clubroot control. The insights gained from this study are expected to contribute to the future research on clubroot and the development of resistance breeding strategies.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 1","pages":"Pages 9-17"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A severity estimation method for lightweight cucumber leaf disease based on DM-BiSeNet","authors":"Kaiyu Li ,&nbsp;Yuzhaobi Song ,&nbsp;Xinyi Zhu ,&nbsp;Lingxian Zhang","doi":"10.1016/j.inpa.2024.03.003","DOIUrl":"10.1016/j.inpa.2024.03.003","url":null,"abstract":"<div><div>Accurately estimating the severity of cucumber diseases is crucial for improving cucumber quality and minimizing economic losses. Deep learning techniques have shown promising results in automatically extracting disease image features for severity estimation. However, existing methods still face challenges in accurately estimating disease severity under complex backgrounds and achieving real-time performance.This paper presents a lightweight severity estimation method called DM-BiSeNet to address these challenges. The proposed method utilizes BiSeNet V2 as the base network and incorporates depthwise separable convolutional blocks to optimize the detail branch. A simplified MobileNet V3 network is also constructed to optimize the semantic branch. The model training process is accelerated using the AdamW optimizer. To evaluate the performance of DM-BiSeNet, a dataset consisting of cucumber powdery mildew and downy mildew disease images collected in natural scenes is utilized. Experimental results demonstrate that DM-BiSeNet achieves higher accuracy in severity estimation, with an <em>R²</em> value of 0.9407 and an RMSE of 1.0680, outperforming the comparison methods. Moreover, DM-BiSeNet exhibits a complexity of 1.54 GFLOPs and is capable of reasoning 94 disease images per second.The proposed DM-BiSeNet model offers a lightweight and effective solution for accurate and rapid severity estimation of cucumber diseases under complex backgrounds. It provides a valuable technical tool for quantitative disease estimation, offering significant potential for practical applications.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 68-79"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving crop image recognition performance using pseudolabels","authors":"Pengfei Deng,&nbsp;Zhaohui Jiang,&nbsp;Huimin Ma,&nbsp;Yuan Rao,&nbsp;Wu Zhang","doi":"10.1016/j.inpa.2024.02.001","DOIUrl":"10.1016/j.inpa.2024.02.001","url":null,"abstract":"<div><div>In crop image recognition, when faced with a large quantity of unlabeled data, the traditional manual labeling method requires a large amount of human and material resources. To solve this problem, this study proposes an image recognition method based on a pseudolabeling technique. First, the data are divided into labeled and unlabeled data. The initial network model is trained on labeled data. Then, pseudolabeling of the unlabeled data is predicted, and only the data that satisfy the confidence threshold are regarded as valid pseudolabeling. To convert the unlabeled data into supervised training data, the two types of data are mixed. The training is terminated when the number of remaining unlabeled data satisfies the end condition and when the fivefold cross-validation method is used to evaluate model performance. Compared with the traditional semisupervised method, the experimental method is simpler and more applicable. Experiments were conducted on rice growth stage recognition and crop weed seedling recognition tasks. The results showed that the proposed method achieved 99.17% accuracy in rice growth stage recognition and a high AUC value of 99.93% in crop weed seedling recognition, which demonstrated excellent performance. Compared with the traditional model, this method not only improves in accuracy but also has better stability and wider applicability and is expected to provide an efficient, accurate and scalable solution for crop image recognition.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 17-26"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Security analysis of agricultural energy internet considering electricity load control for dragon fruit cultivation","authors":"Xueqian Fu ,&nbsp;Lingxi Ma ,&nbsp;Huaichang Ge ,&nbsp;Jiahui Zhang","doi":"10.1016/j.inpa.2024.02.002","DOIUrl":"10.1016/j.inpa.2024.02.002","url":null,"abstract":"<div><div>With the increasing emphasis on sustainable energy and the advancements in modern agriculture, flexible agricultural power loads present challenges to the reliable operation of the agricultural energy internet. However, research on the coupling of energy system security with agricultural security is insufficient and fails to consider the impacts of meteorological elements on agricultural power loads. To address these gaps, this paper establishes load models for irrigation and light supplementation based on the actual cultivation demands of winter dragon fruit in Guangxi province. A static security index system is developed to analyze the security, considering the unique features of agricultural power demands. The condition of the distribution network is assessed by comparing the indexes with predefined limits, using a China 41-bus distribution network. Finally, the optimal scheme for nocturnal supplemental lighting treatment and irrigation is determined based on the method for maintaining secure operation of the distribution network. This study serves as a guide for simulating current farming power loads and demonstrates how security analysis of the agricultural energy internet contributes to the large-scale and sophisticated development of modern agriculture.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 27-39"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140466733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics and diversity of Vibrio parahaemolyticus causing acute hepatopancreatic necrosis disease in Vietnam","authors":"Tuan-Binh Huynh ,&nbsp;Thuy-Dung Mai-Hoang ,&nbsp;Tram-Anh Bui-Nguyen ,&nbsp;Trinh Thi Phuong Ha ,&nbsp;Minh-Duy Phan ,&nbsp;Hieu Tran-Van","doi":"10.1016/j.aaf.2023.10.004","DOIUrl":"10.1016/j.aaf.2023.10.004","url":null,"abstract":"<div><div>Acute hepatopancreatic necrosis disease (AHPND) is a contagious disease in shrimp with extremely high mortality rate, causing an estimated $23.6 billion loss to the global shrimp industry during 2009–2016. A binary toxin, PirAB, is the causative agent, which is encoded by the <em>pirAB</em>^<em>vp</em> genes on a virulent plasmid typically found in <em>Vibrio parahaemolyticus</em>. Here, seventeen strains of <em>V. parahaemolyticus</em> were isolated from the Mekong Delta of Vietnam, of which 15 harboured identical <em>pirAB</em>^<em>vp</em> genes. The remaining two strains, which were PCR-negative for <em>pirAB</em>, and nine positive strains were selected for whole genome sequencing. Multi-locus sequence typing revealed five sequence types (STs), including one novel, that were associated with sites of isolation. A maximum likelihood tree of core genomes revealed that our strains formed three clusters and were closely related to strains from Thailand, South Korea, China, and Philippines. All sequenced strains carried β-lactam (including <em>bla</em>_OXA-10 and <em>bla</em>_NDM-1) and tetracycline resistance genes, with a range of 3–13 resistance genes. The <em>pirAB</em>-positive strains shared large regions of homology with the prototypical AHPND virulent plasmid. In summary, this work revealed the characteristics of AHPND-causing strains in the Mekong Delta of Vietnam and suggested possible transmission routes among Vietnam and other shrimp farming countries.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 202-209"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139294398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does soak time influence the effect of artificial light on catch efficiency in snow crab (Chionoecetes opilio) pot fishery?","authors":"Kristine Cerbule ,&nbsp;Bent Herrmann ,&nbsp;Eduardo Grimaldo ,&nbsp;Leif Grimsmo ,&nbsp;Junita D. Karlsen","doi":"10.1016/j.aaf.2023.11.004","DOIUrl":"10.1016/j.aaf.2023.11.004","url":null,"abstract":"<div><div>In the Barents Sea commercial snow crab (<em>Chionoecetes opilio</em>) fishery, an increase in catch efficiency of the conical pots is important for the profitability of the industry. Light emitting diodes (LEDs) have previously been tested for increasing catch efficiency of the snow crab pots. These earlier experiments have shown varying results ranging from large increase in snow crab catches to no significant effect. These experiments have used different pot soaking times; however, the soaking time might affect the impact of LEDs on catch efficiency. In commercial snow crab fishery, the pot soak time is varying which has not been considered in earlier experiments testing the effect of LEDs. Therefore, this study examined whether pot soaking time can explain the observed differences in relative catch efficiency of snow crab pots with and without LEDs with soak times ranging from 2 to 14 days in the Barents Sea snow crab fishery. For target sizes of snow crab (≥95 mm carapace width), results indicated an increase in catch efficiency between 10 and 30% for pots with LEDs with exception of one experiment using six days soak time. However, experimental results were subjected to large uncertainties and, except from one experiment with five days soak time, the estimated increases were nonsignificant. Furthermore, the pot soak time was not found to impact the effect of white LEDs on capture efficiency.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 330-343"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138613219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Valorization of pulp and viscera from hybrid sorubim and pacu by production of protein concentrate using alkaline solubilization","authors":"Suéllen Patrícia Held Azambuja ,&nbsp;Kauyse Matos Nascimento ,&nbsp;William Renzo Cortez-Vega ,&nbsp;Angela Dulce Cavenaghi-Altemio ,&nbsp;Jane Mary Lafayette Neves Gelinski ,&nbsp;Gustavo Graciano Fonseca","doi":"10.1016/j.aaf.2023.08.012","DOIUrl":"10.1016/j.aaf.2023.08.012","url":null,"abstract":"<div><div>Fish protein concentration (FPC) by alkaline solubilization has proven to be an alternative method in adding value to muscle-based materials. The aim of this work was to evaluate the influence of different processes (decanting/sieving or centrifugation), reagents (sodium bicarbonate or sodium hydroxide) and washing cycles (1–4) on the quality of protein concentrates obtained from mechanically separated meat (MSM) and viscera of hybrid sorubim (<em>Pseudoplatystoma reticulatum</em> × <em>P. corruscans</em>) and pacu (<em>Piaractus mesopotamicus</em>) fishes. The protein concentrate was obtained by washing the viscera or MSM during up to four cycles (4:1 solution:meat ratio). In each cycle, the liquid waste and fat were removed by decanting/sieving or centrifugation. Moisture, crude protein, crude fat and crude ash contents were determined after each washing cycle. The moisture and protein contents increased immediately after the first washing up to 77.88% (dry basis). The lipid content decreased with the cycles down to 2.99% (dry basis). Higher FPC yield was obtained for MSM during the centrifugation process compared to the decantation/sieving process. Two weight yields above 100% were found in procedures with NaHCO₃ and MSM of hybrid sorubim and pacu, probably due to the larger capacity of gel formation during protein concentration. Differences related to the fish species were more evident than the processes and utilized reagents.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 312-320"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139292527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plankton community in Penaeus vannamei nurseries with synbiotic system under different frequencies of adjustment on Ca:Mg:K ratio in low salinity water","authors":"Otávio Augusto Lacerda Ferreira Pimentel ,&nbsp;Valdemir Queiroz de Oliveira ,&nbsp;Rildo José Vasconcelos de Andrade ,&nbsp;Carlos Yure Barbosa de Oliveira ,&nbsp;Elizabeth Pereira dos Santos ,&nbsp;Alitiene Moura Lemos Pereira ,&nbsp;Luis Otavio Brito ,&nbsp;Alfredo Olivera Gálvez","doi":"10.1016/j.aaf.2023.09.003","DOIUrl":"10.1016/j.aaf.2023.09.003","url":null,"abstract":"<div><div>The aim of this study was to evaluate plankton communities in <em>Penaeus vannamei</em> nurseries under different frequencies of adjustment on Ca:Mg:K ratio in low salinity water and with synbiotic system. A nursery culture was carried out for 40 days, using 2000 shrimp m⁻³. Following treatments were established: 1IA (Ca:Mg:K ratio adjustment to 1:3:1 on day 1); 2IA (Ca:Mg:K ratio adjustment to 1:3:1 on day 1 and day 20); 3IA (Ca:Mg:K ratio adjustment to 1:3:1 on day 1, day 10, and day 20); SW (seawater - salinity of 31 g L⁻¹); and SWD (seawater diluted to a salinity of 2.3 g L⁻¹). Rice bran processed by probiotic microorganisms was used as an organic carbon source. Treatments did not have a significant effect on phytoplankton and zooplankton composition. However, plankton composition was significantly different over the experimental course. A reduced abundance of Cyanophyta was observed compared to traditional aquaculture systems. This can be explained by the probiotic bacteria addition to the system, along with fertilization, which may have limited the growth of this harmful algae. Throughout the experiment, zooplankton community had a dominance by protozoan microorganisms, such as amoebae and ciliates. The presence of copepods and rotifers was also observed throughout the experimental course. This proves that the use of the synbiotic system provides conditions for the microbial loop development, mimicking a natural environment. Different adjustment frequencies in the water Ca:Mg:K ratio do not significantly change plankton composition in <em>P. vannamei</em> intensive nurseries using low salinity water and synbiotic system. Temporal variation in plankton composition probably occurred due to fertilization of the system with an organic carbon source. The use of the synbiotic system proved to be efficient in microbial loop development, providing the growth of a high load of microorganisms that can influence water quality and shrimp growth in low salinity water.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 289-297"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135848626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: The histone H3K27 demethylase SlJMJ4 promotes dark- and ABA-induced leaf senescence in tomato.","authors":"","doi":"10.1093/hr/uhaf046","DOIUrl":"https://doi.org/10.1093/hr/uhaf046","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1093/hr/uhab077.].</p>","PeriodicalId":57479,"journal":{"name":"园艺研究(英文)","volume":"12 2","pages":"uhaf046"},"PeriodicalIF":7.6,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11878786/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}