农学最新文献

{"title":"Society 5.0 enabled agriculture: Drivers, enabling technologies, architectures, opportunities, and challenges","authors":"Kossi Dodzi Bissadu,&nbsp;Salleh Sonko,&nbsp;Gahangir Hossain","doi":"10.1016/j.inpa.2024.04.003","DOIUrl":"10.1016/j.inpa.2024.04.003","url":null,"abstract":"<div><div>The existing agriculture practices faced many challenges and fail to address some of the most critical needs of the growing population. Food insecurity, high initial cost of smart farming, severe farm labor shortage worldwide, economic, social, and political crises related to famines, poverty, climate change, and the technology focus of Agriculture 4.0 calls for rethinking the agriculture paradigm. Moreover, the idea of Society 5.0 promoted by Japanese government triggered many position reactions from policymakers, governments, private institutions, academicians, and researchers. The idea of human centered society where individuals live their lives to the fullest with shared vision of happiness, social harmony, sustainability, and resilience recently caught scholars’ attention. Several researchers investigated the society 5.0 and its critical components including Agriculture 5.0. Agriculture 5.0 not only could be leveraged to address many existing issues, but could become a major driving force for achieving Society 5.0’s goals. This paper follows a systematic literature review approach to investigate the major drivers, enabling cutting-edge technologies, various opportunities and challenges for developing, adopting, and implementation Agriculture 5.0. It also highlighted the overall and holistic architectural framework based on 12 layers of Agriculture 5.0 paradigm. Though Agriculture 5.0 is promising with many opportunities, such as creating new job opportunities for young generations, and boosting mass customization, it will face many potential challenges. Some challenges include cybersecurity and privacy issues, difficulties for an effective legal, regulatory and compliance system due to high automation and mass personalization, standardization issues, and adapting agricultural production strategies and models to constantly changing customer preferences.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 112-124"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140777764","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":"Molecular mechanism of Mfn2 alleviating endoplasmic reticulum stress and inhibiting apoptosis of sheep follicular granulosa cells.","authors":"Gulimire Abudureyimu, Ying Chen, Shuhong Tang, Hong Dong, Liqin Wang, Yangsheng Wu, Juncheng Huang, Jiapeng Lin","doi":"10.16288/j.yczz.24-247","DOIUrl":"https://doi.org/10.16288/j.yczz.24-247","url":null,"abstract":"<p><p>Follicle development is a crucial step in mammalian reproductive processes, the specific role of Mfn2 in regulating mitochondrial function and endoplasmic reticulum stress in this process is still unclear, this study aimed to investigate the role of Mfn2 in the follicular development of adult sheep. Large, medium, and small follicles were collected, and granulosa cells (GCs) were isolated from large follicles. The expression levels of Mfn2 in different follicles were detected using qRT-PCR and Western blot, and the localization of Mfn2 in follicles was determined through immunofluorescence. Additionally, the expression levels of the mitochondrial autophagy-related protein Pink1, endoplasmic reticulum stress proteins (Grp78, Perk, Chop), and apoptosis-related proteins (Bcl2 and BAX) were detected. Furthermore, siRNAs were transfected into GCs to knock down Mfn2 expression, and changes in intracellular Ca²⁺ accumulation and mitochondrial membrane potential were evaluated, along with the expression levels of the aforementioned proteins. The results showed that Mfn2 expression was significantly higher in large follicles compared to small follicles and was primarily localized in GCs. Compared to small follicles, the expression levels of Pink1, Grp78, Perk, Chop, and BAX were significantly lower in large follicles, while Bcl2 expression was significantly increased (<i>P</i><0.01). After Mfn2 knockdown, intracellular Ca²⁺ levels and mitochondrial membrane potential were significantly reduced, while the expression levels of Pink1, Grp78, Perk, Chop, and BAX were significantly increased, and Bcl2 expression was significantly decreased (<i>P</i><0.01). Mfn2 may influence cell apoptosis during sheep follicular development by regulating mitochondrial function and endoplasmic reticulum stress.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"342-350"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age, growth and length-to-weight relationship of largehead hairtail (Trichiurus lepturus) in south-eastern Australia suggest a distinct population","authors":"Chantelle Clain ,&nbsp;John Stewart ,&nbsp;Ashley Fowler ,&nbsp;Sandra Diamond","doi":"10.1016/j.aaf.2023.08.005","DOIUrl":"10.1016/j.aaf.2023.08.005","url":null,"abstract":"<div><div>The age, growth rates and length to weight relationships for the south-eastern Australian population of largehead hairtail (<em>Trichiurus lepturus</em>) were investigated for the first time. Age was estimated by counting annuli in sectioned sagittal otoliths, with a maximum age of 8 years estimated for males and females. We found no significant differences in the growth rates of males and females over the size (12–78 cm pre-anal length (PL)) and age (0–8 years) ranges sampled. However, females in our collection were larger on average than males, and all fish sampled &gt;60 cm PL were female, suggesting that females may grow to larger sizes than males and that sampling of greater numbers of larger and older fish may be required in future. <em>T. lepturus</em> growth was described by the von Bertalanffy growth function parameters L_∝ = 74.89 cm PL, K = 0.13yr⁻¹ and t0 = −0.80 yr, with the L_∝ being amongst the largest reported for the species. Growth was variable, with the sizes at any given age spanning up to 50 cm PL. Female <em>T. lepturus</em> increased in body weight relative to length faster than males, as has been reported in other populations. The length/weight relationship for the south-eastern Australian population was significantly different, with almost no overlap, from that reported for <em>T. lepturus</em> in the Arabian Sea. The substantial differences in growth rates, maximum sizes and body morphometrics of <em>T. lepturus</em> from south-eastern Australia in comparison to other populations globally are consistent with the hypotheses that it represents a distinct population, although investigations using additional population markers are required to verify this.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 305-311"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135427647","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":"Developing predictive growth models for Asian seabass using four generations of data","authors":"Joey Wong ,&nbsp;Yi Xuan Tay ,&nbsp;Genhua Yue","doi":"10.1016/j.aaf.2023.08.010","DOIUrl":"10.1016/j.aaf.2023.08.010","url":null,"abstract":"<div><div>Growth is an important trait in aquaculture breeding programs and production. Cost-effective and precise measurement of growth traits provides valuable information for growth monitoring, feed management, stocking density, size grading, and health management. However, in aquaculture species, precise measurement of growth traits is challenging. Predictive growth models based on large data sets have the potential to tackle this challenge. Here, we developed predictive growth models for the analysis of growth parameters for the Asian seabass using the dataset from four separate generations (F₁-F₄), aged between 90- and 768-days post-hatch (dph) in a 20-year selective breeding program. To analyze the length-weight relationship of the fish, the equation <span><math><mrow><mi>W</mi><mo>=</mo><mi>a</mi><msup><mi>L</mi><mi>b</mi></msup></mrow></math></span> was used to estimate the parameters <span><math><mrow><mi>a</mi></mrow></math></span> and <span><math><mrow><mi>b</mi></mrow></math></span>. Our results showed that there were high positive correlations between body length and weight in each generation. In addition, to explore the relationships between body weight and ages, for each generation of fish, we fitted two different models: the von Bertalanffy Growth Function (VBGF) and the Gompertz model to analyze the Age-Weight Relationship (AWR). Out of the two, the VBGF, showed a higher goodness of fit. These developed predictive growth models, in combination with digital imaging, will reduce the cost and time for measuring growth traits for breeding programs of Asian seabass, and the effective management of commercial production.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 253-259"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136009414","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":"Few-shot cow identification via meta-learning","authors":"Xingshi Xu,&nbsp;Yunfei Wang,&nbsp;Yuying Shang,&nbsp;Guangyuan Yang,&nbsp;Zhixin Hua,&nbsp;Zheng Wang,&nbsp;Huaibo Song","doi":"10.1016/j.inpa.2024.04.001","DOIUrl":"10.1016/j.inpa.2024.04.001","url":null,"abstract":"<div><div>Cow identification is a prerequisite for precision livestock farming. Biometric-based methods have made significant progress in cow identification. However, substantial labelling costs and frequent identification task changes are still hamper model application. In this work, a novel method called “MFCI” was proposed to achieve accurate cow identification under few-shot and task-changing conditions. Specifically, the proposed method comprises two components: cow location and cow identification. First, an improved YOLOv5n with Ghost module was adopted to quickly detect cow locations in images. Then, the Model-Agnostic Meta-Learning (MAML) framework was introduced for accurate identification under few-shot conditions and for fast adaptation to frequent changes in individual cows. Moreover, an autoencoder was adopted to allow Base-Learner learn more generalized features by combining both supervised and unsupervised approaches. The experimental results showed that the proposed cow location model achieved a mAP of 99.5 %. The proposed cow identification model attained an accuracy of 90.43 % with only five samples per cow for 20 cows, outperforming other state-of-the-art methods. The results demonstrate the broad applicability and significant value of the proposed method.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 80-90"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140767863","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":"Development of marine small-scale fisheries in Togo: An examination of the efficiency of fishermen at the new fishing port of Lomé and the necessity of fisheries co-management","authors":"Kodjo N'Souvi ,&nbsp;Chen Sun ,&nbsp;Yussuan Manuel Rivero Rivero","doi":"10.1016/j.aaf.2023.07.009","DOIUrl":"10.1016/j.aaf.2023.07.009","url":null,"abstract":"<div><div>Small-scale fisheries play a crucial role in providing fish protein for both consumers and coastal communities in Togo. However, the fishermen's revenue is relatively low compared to their expectations. Assessing changes in the technical efficiency is crucial for decision-making, particularly in light of the depletion of natural resources and the need for structural improvements. This study examines the technical efficiency of small-scale fishermen at the new fishing port in Lomé. The primary data were collected through a cross-sectional survey of 82 randomly selected fishermen. The data were analyzed using descriptive method. Subsequently, a Stochastic Frontier Analysis (SFA) was employed to identify the factors contributing to the inefficiency of these small-scale fishermen. The results indicate that only two variables, namely the fishing hours per month and boat ownership (being a skipper), have a statistically significant positive impact on the fishermen's monthly income. The inefficiency model derived from the SFA regression showed that fishery subsidies and cooperative membership positively influence technical efficiency, whereas the duration of fishing trip (number of days at sea and number of trips per month) and boat length negatively influence efficiency. Overall, the results suggest that the government should review fishery subsidy policies to enhance fishermen's technical efficiency while ensuring the sustainability of fisheries. Additionally, we identify another key area for potential policy interventions, which includes promoting and supporting cooperative membership among the fishermen. This could provide social support, an organizational structure for communication, co-management, and collective decision-making.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 344-353"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72705681","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":"Supervised and unsupervised machine learning approaches for prediction and geographical discrimination of Iranian saffron ecotypes based on flower-related and phytochemical attributes","authors":"Seid Mohammad Alavi-Siney ,&nbsp;Jalal Saba ,&nbsp;Alireza Fotuhi Siahpirani ,&nbsp;Jaber Nasiri","doi":"10.1016/j.inpa.2023.12.002","DOIUrl":"10.1016/j.inpa.2023.12.002","url":null,"abstract":"<div><div>A two-year field experiment (2014–2016; Zanjan, Iran) was conducted to monitor potential diversity pattern and adaptability power among 18 Iranian saffron ecotypes under Zanjan climatological conditions using seven flower-related and three qualitative traits (crocin, picrocrocin, and safranal, determined by UV–visible spectra), and analyzed by supervised and unsupervised approaches. A range of variability was recorded among the ecotypes, and despite some exceptions, overall, saffron corms produced higher amounts of studied features across the second year. The Feizabad ecotype was recommended to acquire maximum qualitative criteria (category I; based on ISO Normative 3632 grading system), while for flower-related parameters several ecotypes (e.g., Ghaien, Bardeskan, Torbat-Jam, and Gonabad) could be applied for Zanjan climatological conditions. Based on the results of Leave-One-Out Cross-Validation (LOOCV), various prediction values were computed for all 10 classifiers of LDA, QDA, FDA, MDA, RDA, Naive Bayes, Decision Tree, Linear SVM, Radial SVM, and Random Forest in terms of accuracy, sensitivity and specificity parameters. Among which, Random Forest and LDA with the values of 0.91 and 0.78 possessed the highest and the lowest amounts of accuracy, respectively. Finally, considering the highest accuracy value of the superior classification model of Random forest, both feature subsets of “FFW, FDW, Picrocrocin, Safranal, and Crocin” and “SFW, FDW, Picrocrocin, Safranal, and Crocin” were nominated as the most powerful elements (comparing to the remaining 1021 feature subsets) to make accurate discrimination between Khorasan and non-Khorasan saffron ecotypes. The results, overall, revealed that saffron ecotypes followed different responses under Zanjan climatological circumstances, and Random Forest is more suitable for accurately predicting saffron corms from different provenances.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 1-16"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138609531","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":"Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves","authors":"Imane Bouacida ,&nbsp;Brahim Farou ,&nbsp;Lynda Djakhdjakha ,&nbsp;Hamid Seridi ,&nbsp;Muhammet Kurulay","doi":"10.1016/j.inpa.2024.03.002","DOIUrl":"10.1016/j.inpa.2024.03.002","url":null,"abstract":"<div><div>One of the most serious threats to global food security is plant diseases compromising agricultural productivity and threatening the livelihoods of millions. These diseases can decimate crops, disrupt food supply chains, and escalate the risk of food shortages, underscoring the urgency of implementing robust strategies to safeguard the world’s food sources. Deep learning methods have revolutionized the field of plant disease detection, offering advanced and accurate solutions for early identification and management. However, a recurring problem in deep learning models is their susceptibility to a lack of robustness and generalization when facing novel crop and disease types that were not included in the training dataset. In this paper, we address this issue by proposing a novel deep learning-based system capable of recognizing diseased and healthy leaves across different crops, even if the system was not trained on them. The key idea is to focus on recognizing the diseased small leaf regions rather than the overall appearance of the diseased leaf, along with determining the disease’s prevalence rate on the entire leaf. For efficient classification and to leverage the excellence of the Inception model in disease recognition, we employ a small Inception model architecture, which is suitable for processing small regions without compromising performance. To confirm the effectiveness of our method, we trained and tested it using the widely acclaimed PlantVillage dataset, recognized as the most utilized dataset for its comprehensive and diverse coverage. Our method achieved an accuracy rate of 94.04%. Furthermore, when tested on new datasets, it achieved an accuracy rate of 97.13%. This innovative approach not only enhances the accuracy of plant disease detection but also addresses the critical challenge of model generalization to diverse crops and diseases. In addition, it outperformed the existing methods in its ability to identify any disease across any crop type, showcasing its potential for broad applicability and contribution to global food security initiatives.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 54-67"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140085028","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":"Effect of the phytohormone salicylic acid on the salinity thresholds to seed germination and seedling growth in the oilseed Camelina sativa","authors":"Esmaeil Bakhshandeh ,&nbsp;Fatemeh Hosseini Sanehkoori ,&nbsp;Najmeh Mirzaaghpour ,&nbsp;Charlotte E. Seal ,&nbsp;Mozhgan Alinia","doi":"10.1016/j.ocsci.2024.10.002","DOIUrl":"10.1016/j.ocsci.2024.10.002","url":null,"abstract":"<div><div>The oilseed crop <em>Camelina sativa</em> exhibits salinity tolerance, but the effects on early growth stages across a range of different salts and in combination with salicylic acid (SA) have not been thoroughly evaluated. In this study, seeds were germinated in varying concentrations of six salts (NaCl, CaCl₂, ZnCl₂, KCl, MgSO₄, and Na₂SO₄) with or without 0.5 ​mM SA. Using the halotime model, we estimated salt thresholds for germination and parameters of seedling growth. Germination and seedling growth parameters of camelina significantly decreased with increasing salt concentration across all salt types. Salts containing Zn and SO4 were most detrimental to germination and seedling growth. Except for KCl, 0.5 ​mM SA generally reduced the salinity tolerance threshold (Saltb(50)) of camelina. Specifically, Saltb(50) was 21.5% higher for KCl and 16.1%, 25.0%, 54.9%, 21.0%, and 5.6% lower for CaCl₂, NaCl, MgSO₄, Na₂SO₄, and ZnCl₂, respectively, when 0.5 ​mM SA was compared to 0 ​mM SA. Furthermore, camelina seedling growth was consistently more sensitive than germination across all salt types. SA did not significantly enhance germination or seedling growth and was harmful when combined with certain salts or at the germination stage. It can be concluded that both the type of salt and the concentration of SA are as critical as the salt concentration in saline irrigation water.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 1","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682328","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":"Genetic relationship between bacterial wilt resistance and yield components in peanut","authors":"Jianbin Guo,&nbsp;Nian Liu,&nbsp;Huaiyong Luo,&nbsp;Li Huang,&nbsp;Xiaojing Zhou,&nbsp;Weigang Chen,&nbsp;Bolun Yu,&nbsp;Huifang Jiang,&nbsp;Yong Lei,&nbsp;Boshou Liao","doi":"10.1016/j.ocsci.2025.01.001","DOIUrl":"10.1016/j.ocsci.2025.01.001","url":null,"abstract":"<div><div>Bacterial wilt (BW) caused by <em>Ralstonia solanacearum</em> is a wide-spread and serious disease in peanut. To date, this soilborne disease could only be effectively controlled by planting resistant peanut cultivars. However, the relatively lower yield potential of the available BW-resistant peanut cultivars is a key reason restricting productivity in most epidemic regions naturally infested with the pathogen. Even small pods or seeds and low number per plant has been regarded as the key factor for the low yield potential both in BW-resistant peanut germplasm lines and available released cultivars, whether the resistance is closely linked with key yield components remains unclear. In this study, the relationship between pod weight and BW resistance was analyzed by using a recombinant inbred lines (RIL) population derived from a crossing combination between a high yielding cultivar Xuhua 13 and a BW-resistant cultivar Zhonghua 6. From the experiments, it was found that the BW resistance was not significantly correlated with pod number per plant (PNP), hundred pod weight (HPW) and pod weight per plant (PWP) in the RIL population. Based on linkage analysis, the quantitative trait locus (QTL)s related to PNP were identified on A06, A07, A08 and B03. The QTLs for HPW were detected on A05 and A07, and the QTLs for PWP were on A06, A07 and B03. However, the QTL for BW resistance identified on B02. These results indicated that the BW resistance and the pod number per plant as well as pod weight were inherited independently. Two recombined lines (QT0944 and QT1028) with high level BW resistance and large pods (hundred pod weight over 185g) were identified from the RILs, and they possessed the favored alleles of identified QTLs from both parents, which could be used in peanut breeding for high yield and high level disease resistance.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 1","pages":"Pages 64-69"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704152","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}