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Gastrointestinal nematode parasites of grazing ruminants: a comprehensive literature review of diagnostic methods for quantifying parasitism, larval differentiation and measuring anthelmintic resistance. 放牧反刍动物的胃肠道线虫寄生虫:关于寄生虫定量、幼虫分化和抗蠕虫药耐药性测量诊断方法的全面文献综述。
IF 1.1 4区 农林科学 Q3 VETERINARY SCIENCES Pub Date : 2025-05-01 Epub Date: 2024-11-10 DOI: 10.1080/00480169.2024.2415029
M C Playford, R B Besier

This review summarises up-to-date research on the diagnosis of gastrointestinal nematode (GIN) infection in livestock and anthelmintic resistance in GIN. It was commissioned to assist funding bodies to prioritise and guide research and extension efforts to improve the health, welfare and productivity of grazing ruminants in the face of challenge with GIN. A comprehensive review of published articles from journals, books and websites was undertaken, with a focus on peer-reviewed articles published between 2000 and 2024 involving genera of GIN in grazing sheep and cattle with economic importance to New Zealand. Suggestions for articles to include were received from 14 experts in GIN diagnostics. This review is a summary of a longer report submitted to the sponsoring organisation. Clinical signs of GIN infection in grazing ruminants in temperate grazing systems are inadequate as triggers for management interventions including anthelmintic treatment as they are visible only after economically significant pathological changes have occurred. Livestock producers benefit from monitoring GIN burdens using faecal egg counts (FEC) or associated signals such as weight gain. In future, they may use remote monitoring devices for activity in animals, as well as estimating pasture larval contamination. Methods of diagnosing GIN infections using automated FEC devices have improved the convenience of monitoring parasite burdens compared with traditional laboratory methods. However, a lack of quality control measures and a gap in training of skilled technicians for larval differentiation may lead to a shortage of diagnostic capability. Current methods of diagnosing anthelmintic resistance, particularly FEC reduction tests, are not likely to be replaced by laboratory assays in the near future and attention should be focused on facilitating application of new FEC technologies for both animal monitoring and resistance diagnosis. Extension and application of currently available methods and technology will improve animal health and productivity in ruminant grazing systems in the short term. Adoption of novel technologies for remote animal monitoring, practical tools for estimating pasture larval contamination and promoting genetic selection for immunity and resilience to GIN in both sheep and cattle will further enhance productivity in the long term.

本综述总结了有关牲畜胃肠道线虫(GIN)感染诊断和 GIN 抗蠕虫药耐药性的最新研究成果。本综述旨在协助资助机构确定研究和推广工作的优先次序并提供指导,以便在面临 GIN 挑战时改善放牧反刍动物的健康、福利和生产率。我们对期刊、书籍和网站上已发表的文章进行了全面审查,重点审查了 2000 年至 2024 年间发表的、涉及放牧牛羊 GIN 属种并对新西兰具有重要经济意义的同行评审文章。14 位 GIN 诊断方面的专家就文章内容提出了建议。本综述是提交给赞助机构的一份较长报告的摘要。温带放牧系统中放牧反刍动物感染 GIN 的临床症状不足以触发包括驱虫药治疗在内的管理干预措施,因为只有在发生具有经济意义的病理变化后才能看到这些症状。家畜生产者可以利用粪卵计数(FEC)或体重增加等相关信号来监测 GIN 负担。未来,他们可能会使用远程监控设备来监测动物的活动,以及估计牧场幼虫污染情况。与传统的实验室方法相比,使用自动 FEC 设备诊断 GIN 感染的方法提高了监测寄生虫负担的便利性。然而,质量控制措施的缺乏以及对熟练技术人员进行幼虫分化培训方面的差距可能会导致诊断能力的不足。目前诊断抗蠕虫药耐药性的方法,特别是纤维素酶还原试验,在不久的将来不可能被实验室检测方法所取代,因此应重点关注促进新的纤维素酶技术在动物监测和耐药性诊断方面的应用。推广和应用现有的方法和技术将在短期内改善反刍动物放牧系统的动物健康和生产率。采用新技术对动物进行远程监测,采用实用工具估算牧场幼虫污染情况,以及促进基因选择以提高绵羊和牛对 GIN 的免疫力和抵抗力,将进一步提高长期生产率。
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引用次数: 0
Diagnosis of Mycoplasma columborale in a fledgling kererū (Hemiphaga novaeseelandiae). 一只羽毛未丰的羽毛未丰的羽毛未丰的羽毛未丰的羽毛未丰的羽毛未丰。
IF 1.1 4区 农林科学 Q3 VETERINARY SCIENCES Pub Date : 2025-05-01 Epub Date: 2024-12-08 DOI: 10.1080/00480169.2024.2430243
L S Argilla, J P O'Connell, M Bestbier, J Foxwell, C Pritchard, H Taylor

Case history: In early summer, a wild fledgling kererū (Hemiphaga novaeseelandiae) was admitted to a wildlife hospital in Dunedin after falling from its nest and being found on the ground.

Clinical findings: The bird was underweight, weighing only 391 g (expected weight > 450 g), and determined to be in poor body condition based on palpation of pectoral muscle mass. There was bilateral periorbital swelling and ocular discharge with caseous material blocking the choana. Samples of the ocular and choanal discharge were collected and submitted for molecular testing. General anaesthesia was required for further radiographic assessment, and the bird was stabilised for 48 hours with oral electrolytes and antimicrobial and analgesic therapy with doxycycline, meloxicam, and tramadol administered orally twice daily via crop tube and voriconazole administered once daily. Chloramphenicol was applied topically to the eyes twice daily. Subsequently, due to the severity of the gross and radiographic lesions, the likelihood of the need for an extended period of treatment, the age of the chick, its weakened and underweight condition and the risk of imprinting, the bird was euthanased while under general anaesthesia.

Laboratory and pathological findings: PCR testing ruled out Chlamydia psittaci as a cause of morbidity and instead identified Mycoplasma columborale. On gross post-mortem examination, there was caseous material in the periorbital tissues, sinuses and choana. Samples of the choanal discharge grew a moderate mixed growth of Escherichia coli and Enterococcus faecalis.

Diagnosis: Severe pyogranulomatous sinusitis associated with infection with M. columborale.

Clinical relevance: This report describes the first isolation of M. columborale in any species in New Zealand and the first diagnosis of mycoplasmosis in a native kererū. The significance of this finding has not yet been determined.

病例历史:初夏时节,达尼丁的一家野生动物医院发现了一只从巢中掉落在地的野生雏鸟克鲁(Hemiphaga novaeseelandiae):这只鸟体重不足,仅有 391 克(预期体重大于 450 克),根据胸肌触诊确定其身体状况不佳。双侧眶周肿胀,眼部有分泌物,酪质物质堵塞了咽喉。采集了眼部和咽喉分泌物样本,并提交进行分子检测。为进一步进行放射学评估,需要对该鸟进行全身麻醉,并通过口服电解质、抗菌药和镇痛药对其进行了 48 小时的稳定治疗,其中多西环素、美洛昔康和曲马多通过嗉囊管口服,每天两次,伏立康唑每天一次。氯霉素每天两次局部涂抹眼睛。随后,由于大体和放射学病变的严重程度、需要长期治疗的可能性、雏鸟的年龄、虚弱和体重不足的状况以及印记的风险,该鸟在全身麻醉的情况下被安乐死:聚合酶链反应(PCR)检测排除了鹦鹉热衣原体(Chlamydia psittaci)的致病原因,而确定了大肠支原体(Mycoplasma columborale)。尸体大体检查发现,眶周组织、鼻窦和咽喉有酪氨酸物质。咽喉分泌物样本中混合生长着大肠杆菌和粪肠球菌:诊断:严重的脓毒血症性鼻窦炎与感染 M. columborale 有关:本报告描述了在新西兰的任何物种中首次分离到 M.columborale,也是首次在土生克氏猿中诊断出支原体病。这一发现的意义尚未确定。
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引用次数: 0
Consumption of antimicrobials for use in food-producing animals in New Zealand, a measure of progress in reduction from 2015 to 2022. 新西兰用于食用动物的抗微生物药物消费量,这是衡量2015年至2022年在减少方面取得进展的指标。
IF 1.1 4区 农林科学 Q3 VETERINARY SCIENCES Pub Date : 2025-05-01 Epub Date: 2024-12-18 DOI: 10.1080/00480169.2024.2432421
J E Hillerton, M A Bryan, D Scott

Aims: To describe progress in the reduction of the consumption of antimicrobial drugs by food-producing animals in New Zealand to 2022 and to identify the animal production sectors where progress has been greatest, and those where opportunities remain.

Methods: Data were sourced from official government and industry reports to update previous estimates of consumption (as sales) of antimicrobial products applied to food-producing animals in New Zealand, European countries and the USA. Antimicrobial consumption (AMC) was estimated based on the amount of active ingredient sold, per kg of animal biomass standardised to the probable weight at time of treatment or lifetime mean weight but not slaughter weight (population correction unit; PCU). This methodology is widely used for international comparisons.

Results: The estimated gross consumption of antimicrobials in food-producing animals in New Zealand increased steadily from 2005 to 2013 (from 7.54 to 11.28 mg/PCU). From 2014 to 2018 the estimate flattened to a 5-year rolling mean of 10.40 mg/PCU. In 2019-2021 the consumption dropped. The NZ consumption in 2022 was substantially lower, estimated at 5.84 mg/PCU, 29% less than in 2005 and 45% less than the peak that occurred in 2017.

Conclusions: The use of antimicrobials in food-producing animals in New Zealand is at the lowest rate for nearly 20 years, at 5.8 mg/PCU. Key progress has been made particularly by the poultry industry. Clear future areas to be targeted include prophylactic use of intramammary products applied when drying off dairy cows and a more widespread strategic use in treatment of clinical mastitis.

Clinical relevance: Veterinarians in New Zealand should leverage the significant reduction achieved in AMC by food-producing animals by continuing to improve strategies for antimicrobial use to further reduce the risk of antimicrobial resistance.

目标:描述到2022年新西兰在减少食品生产动物抗菌药物消费方面的进展,并确定进展最大的动物生产部门,以及那些仍有机会的部门。方法:数据来源于官方政府和行业报告,以更新之前对新西兰、欧洲国家和美国用于食用动物的抗菌产品的消费量(作为销售额)的估计。抗菌药物消耗量(AMC)是根据销售的活性成分量,每公斤动物生物量标准化为处理时的可能重量或一生平均重量(但不包括屠宰重量)(种群校正单位;PCU)。这种方法被广泛用于国际比较。结果:从2005年到2013年,新西兰食用动物抗菌药物的估计总消费量稳步增加(从7.54 mg/PCU增加到11.28 mg/PCU)。从2014年到2018年,这一估计值降至10.40 mg/PCU的5年滚动平均值。2019-2021年,消费量下降。2022年新西兰的消费量大幅下降,估计为5.84毫克/PCU,比2005年减少29%,比2017年的峰值减少45%。结论:新西兰食用动物中抗菌素的使用率为5.8 mg/PCU,为近20年来的最低水平。特别是家禽业取得了关键进展。明确的未来目标领域包括在奶牛干燥时预防性使用乳内产品,以及在治疗临床乳腺炎中更广泛的战略使用。临床相关性:新西兰的兽医应该通过继续改进抗菌素使用策略来进一步降低抗菌素耐药性的风险,从而利用食品生产动物在AMC中取得的显著减少。
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引用次数: 0
Primary corneal pigmented squamous cell carcinoma with concurrent canine papillomavirus type 17 infection in a dog.
IF 1.1 4区 农林科学 Q3 VETERINARY SCIENCES Pub Date : 2025-05-01 Epub Date: 2025-02-11 DOI: 10.1080/00480169.2025.2456238
H Mather, C McCowan, J S Munday, R G Stanley

Case history: A 9-year-old, spayed, female Golden Retriever presented with an 18-month history of small spots of opacification on the left cornea, a 3-4-month history of a raised spot on the left cornea, and a watery left eye. As a puppy, the dog had sustained an injury to the left cornea. Self-limiting, presumed papillomaviral warts were diagnosed on the face when the dog was 8 months old.

Clinical findings and initial treatment: A full ophthalmic examination revealed a well-circumscribed, pigmented, raised mass immediately adjacent to three smaller pink masses on the left cornea. The corneal tumour was resected by superficial keratectomy. The cornea was treated with topical peginterferon alfa-2a drops post-operatively.

Pathological and molecular findings: The mass was histologically diagnosed as an incompletely excised corneal pigmented squamous cell carcinoma (pSCC) displaying both exophytic growth and superficial stromal invasive characteristics and fine granular brown melanin pigment within the cytoplasm of neoplastic cells. Superficial cells showed evidence of papillomavirus-induced cell changes including enlarged cells with blue-grey cytoplasm and darkly basophilic keratohyalin granules. Canine papillomavirus type 17 (CPV17) DNA sequences were amplified from the carcinoma by PCR using consensus papillomavirus primers.

Diagnosis: Primary corneal pigmented squamous cell carcinoma with concurrent canine papillomavirus type 17 infection.

Outcome: Tumour recurrence was observed 2 years 9 months after surgery. Topical peginterferon alfa-2a drops were recommenced and superficial keratectomy surgery was repeated with concurrent adjunctive strontium 90 plesiotherapy. At the time of writing, the left cornea has healed well with mild fibrosis and vascularisation continuing to reduce.

Clinical relevance: This is the first report of a pSCC of the cornea in any veterinary species. Prominent papillomaviral cytopathology was visible in the corneal pSCC, and PCR confirmed the presence of CPV17.This report expands the differential diagnoses for pigmented corneal masses in dogs. It highlights the importance of obtaining a histopathological diagnosis for pigmented corneal lesions, as the clinical disease course, prognosis and treatment options vary between lesions of different aetiologies. Corneal SCC is locally invasive and can recur without complete excision. Early surgical intervention with clean margins can be curative and restore corneal clarity, vision and patient comfort.

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引用次数: 0
Molecular survey of canine parvovirus type 2: the emergence of subtype 2c in New Zealand.
IF 1.1 4区 农林科学 Q3 VETERINARY SCIENCES Pub Date : 2025-05-01 Epub Date: 2025-02-10 DOI: 10.1080/00480169.2025.2456245
M Dunowska, H Bain, S Bond

Aims: To determine the genetic makeup of carnivore parvoviruses currently circulating in New Zealand; to investigate their evolutionary patterns; and to compare these viruses with those detected during the previous New Zealand-based survey (2009-2010).

Methods: Faecal samples from dogs (n = 40) with a clinical diagnosis of parvovirus enteritis were voluntarily submitted by veterinarians from throughout New Zealand. In addition, one sample was collected from a cat with comparable clinical presentation. The samples were used for DNA extraction and PCR amplification of viral protein 2 (VP2) of canine parvovirus type 2 (CPV-2). All samples produced amplicons of the expected sizes, which were then sequenced. The viruses were subtyped based on the presence of specific amino acids at defined locations. In addition, VP2 sequences were analysed using phylogeny and molecular network analysis.

Results: The majority (30/40; 75%) of CPV-2-infected dogs were younger than 6 months and 8/40 (20%) were aged between 9 months and 1 year. Most (39/41; 95%) parvoviruses were subtyped as CPV-2c, and one as the original CPV-2. The faecal sample from a cat was positive for feline panleukopenia virus. The majority (37/39; 95%) of New Zealand CPV-2c viruses were monophyletic. The remaining two New Zealand CPV-2c viruses clustered with Chinese and Sri Lankan CPV-2c viruses, separately from the main New Zealand clade.

Conclusions: There has been an apparent replacement of the CPV-2a viruses with CPV-2c viruses in New Zealand between 2011 and 2019. The source of the current CPV-2c viruses remains undetermined. The monophyletic nature of the majority of viruses detected most likely reflects a country-wide spread of the most successful genotype. However, an occasional introduction of CPV-2 from overseas cannot be excluded.

Clinical relevance: Current vaccines appear to be protective against disease caused by the CPV-2c viruses currently circulating in New Zealand. Vaccination and protection from environmental sources of CPV-2 until the development of vaccine-induced immunity remains the cornerstone of protection in young dogs against parvovirus enteritis. Ongoing monitoring of the genetic changes in CPV-2 is important, as it would allow early detection of variants that may be more likely to escape vaccine-induced immunity.

{"title":"Molecular survey of canine parvovirus type 2: the emergence of subtype 2c in New Zealand.","authors":"M Dunowska, H Bain, S Bond","doi":"10.1080/00480169.2025.2456245","DOIUrl":"10.1080/00480169.2025.2456245","url":null,"abstract":"<p><strong>Aims: </strong>To determine the genetic makeup of carnivore parvoviruses currently circulating in New Zealand; to investigate their evolutionary patterns; and to compare these viruses with those detected during the previous New Zealand-based survey (2009-2010).</p><p><strong>Methods: </strong>Faecal samples from dogs (n = 40) with a clinical diagnosis of parvovirus enteritis were voluntarily submitted by veterinarians from throughout New Zealand. In addition, one sample was collected from a cat with comparable clinical presentation. The samples were used for DNA extraction and PCR amplification of viral protein 2 (VP2) of canine parvovirus type 2 (CPV-2). All samples produced amplicons of the expected sizes, which were then sequenced. The viruses were subtyped based on the presence of specific amino acids at defined locations. In addition, VP2 sequences were analysed using phylogeny and molecular network analysis.</p><p><strong>Results: </strong>The majority (30/40; 75%) of CPV-2-infected dogs were younger than 6 months and 8/40 (20%) were aged between 9 months and 1 year. Most (39/41; 95%) parvoviruses were subtyped as CPV-2c, and one as the original CPV-2. The faecal sample from a cat was positive for feline panleukopenia virus. The majority (37/39; 95%) of New Zealand CPV-2c viruses were monophyletic. The remaining two New Zealand CPV-2c viruses clustered with Chinese and Sri Lankan CPV-2c viruses, separately from the main New Zealand clade.</p><p><strong>Conclusions: </strong>There has been an apparent replacement of the CPV-2a viruses with CPV-2c viruses in New Zealand between 2011 and 2019. The source of the current CPV-2c viruses remains undetermined. The monophyletic nature of the majority of viruses detected most likely reflects a country-wide spread of the most successful genotype. However, an occasional introduction of CPV-2 from overseas cannot be excluded.</p><p><strong>Clinical relevance: </strong>Current vaccines appear to be protective against disease caused by the CPV-2c viruses currently circulating in New Zealand. Vaccination and protection from environmental sources of CPV-2 until the development of vaccine-induced immunity remains the cornerstone of protection in young dogs against parvovirus enteritis. Ongoing monitoring of the genetic changes in CPV-2 is important, as it would allow early detection of variants that may be more likely to escape vaccine-induced immunity.</p>","PeriodicalId":19322,"journal":{"name":"New Zealand veterinary journal","volume":" ","pages":"178-186"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143391307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intermittent Supplemental Irradiation With Blue Light Promotes Leafy Heads in Lettuce
IF 4 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-04-03 DOI: 10.1002/fes3.70079
Yanke Liu, Yiqun Chen, Rongcheng Lin, Ep Heuvelink, Yang Li

Red and blue lights are the most effective spectral components absorbed by plants and are typically applied in a constant spectrum in plant factory agricultural practices. Research and application of non-constant light modes are relatively rare. In this study, we examined the impacts of varying blue light photon intensity and durations at 5-, 15-, 30-, and 45-min intervals of intermittent exposure on the growth and development of lettuce (Lactuca sativa) in plant factories while maintaining a constant red light photon flux and daily light integral (DLI). Compared to the constant light condition, intermittent blue light irradiation treatments accelerated the emergence of the leafy head trait in lettuce without compromising photosynthetic capacity and biomass. Specifically, intermittent blue light treatment with 15-min intervals led to a reduction of 8 days in the time needed for half of the lettuce plants to reach the heading stage. Furthermore, the petiole bending angle in treated lettuce was just 70.2% of that observed under constant light conditions, with strong correlations between multiple hormone levels and bending angle in petioles. Transcriptome sequencing analyses revealed significant differential expression of signaling-related genes between constant and intermittent blue light treatments. The transient and dynamic expression of light-responsive and hormone metabolism-related genes indicated that 15-min intermittent blue light exposure better maintained the rhythmic differential expression of response genes, leading to different hormone accumulations and consequently accelerating the development of leafy heads.

{"title":"Intermittent Supplemental Irradiation With Blue Light Promotes Leafy Heads in Lettuce","authors":"Yanke Liu,&nbsp;Yiqun Chen,&nbsp;Rongcheng Lin,&nbsp;Ep Heuvelink,&nbsp;Yang Li","doi":"10.1002/fes3.70079","DOIUrl":"https://doi.org/10.1002/fes3.70079","url":null,"abstract":"<p>Red and blue lights are the most effective spectral components absorbed by plants and are typically applied in a constant spectrum in plant factory agricultural practices. Research and application of non-constant light modes are relatively rare. In this study, we examined the impacts of varying blue light photon intensity and durations at 5-, 15-, 30-, and 45-min intervals of intermittent exposure on the growth and development of lettuce (<i>Lactuca sativa</i>) in plant factories while maintaining a constant red light photon flux and daily light integral (DLI). Compared to the constant light condition, intermittent blue light irradiation treatments accelerated the emergence of the leafy head trait in lettuce without compromising photosynthetic capacity and biomass. Specifically, intermittent blue light treatment with 15-min intervals led to a reduction of 8 days in the time needed for half of the lettuce plants to reach the heading stage. Furthermore, the petiole bending angle in treated lettuce was just 70.2% of that observed under constant light conditions, with strong correlations between multiple hormone levels and bending angle in petioles. Transcriptome sequencing analyses revealed significant differential expression of signaling-related genes between constant and intermittent blue light treatments. The transient and dynamic expression of light-responsive and hormone metabolism-related genes indicated that 15-min intermittent blue light exposure better maintained the rhythmic differential expression of response genes, leading to different hormone accumulations and consequently accelerating the development of leafy heads.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Divergent molecular responsive mechanism of female and male spotted scat (Scatophagus argus) liver to 17β-estradiol revealed by the comparative transcriptome analysis
IF 3.2 2区 农林科学 Q1 FISHERIES Pub Date : 2025-04-03 DOI: 10.1016/j.aqrep.2025.102785
Xinyi Li , Shuhui Pan , Yun Zheng , Mingzhu Chen , Gang Shi , Guangli Li , Chunhua Zhu , Huapu Chen , Shangli Shi , Dongneng Jiang , Yucong Hong , Kaihui Sun , Hongjuan Shi
Spotted scat (Scatophagus argus), an economically significant marine fish species, is widely distributed along the coasts of Guangxi, Taiwan and Guangdong Province in China. It exhibits sexual growth dimorphism, with females exhibiting a faster growth rate and larger size than males. The critical metabolic organ liver plays an important role in regulating body growth and reproduction processes, which that are influenced by estrogens. In this study, the molecular mechanisms of 17-estradiol (E2) regulates body growth and reproduction in livers were investigated by transcriptome sequencing, after fed 2-year-old spotted scat with E2-containing baits for 30 days. Transcriptome analysis identified 218, 1949, 548, and 1718 differentially expressed genes (DEGs) (FDR < 0.05 and |log2(FC)| ≥ 1) in livers of spotted scat across the Ctrl-ML vs. Ctrl-FL, E2-ML vs. E2-FL, E2-ML vs. Ctrl-ML, and E2-FL vs. Ctrl-FL groups, respectively. The amino sugar and nucleotide sugar metabolism pathway was significantly influenced in females by E2. While fatty acid metabolism, arginine and proline metabolism were significantly enriched in males. Several genes metabolic (acsl5, gpx1b, and nots), growth and reproduction-related genes (igfs, vtgs, erα, and zps) were responded to E2 in a gender-specific manner. Thus, the livers of females appeared to be more sensitive to E2 feeding than males, and the responsive mechanisms of spotted scat livers to E2 were gender-specific. These findings will provide a foundation for understanding the molecular regulation of estrogen in fish growth and reproduction within the liver, and will also offer theoretical evidence for the artificial cultivation of spotted scat.
{"title":"Divergent molecular responsive mechanism of female and male spotted scat (Scatophagus argus) liver to 17β-estradiol revealed by the comparative transcriptome analysis","authors":"Xinyi Li ,&nbsp;Shuhui Pan ,&nbsp;Yun Zheng ,&nbsp;Mingzhu Chen ,&nbsp;Gang Shi ,&nbsp;Guangli Li ,&nbsp;Chunhua Zhu ,&nbsp;Huapu Chen ,&nbsp;Shangli Shi ,&nbsp;Dongneng Jiang ,&nbsp;Yucong Hong ,&nbsp;Kaihui Sun ,&nbsp;Hongjuan Shi","doi":"10.1016/j.aqrep.2025.102785","DOIUrl":"10.1016/j.aqrep.2025.102785","url":null,"abstract":"<div><div>Spotted scat (<em>Scatophagus argus</em>), an economically significant marine fish species, is widely distributed along the coasts of Guangxi, Taiwan and Guangdong Province in China. It exhibits sexual growth dimorphism, with females exhibiting a faster growth rate and larger size than males. The critical metabolic organ liver plays an important role in regulating body growth and reproduction processes, which that are influenced by estrogens. In this study, the molecular mechanisms of 17-estradiol (E<sub>2</sub>) regulates body growth and reproduction in livers were investigated by transcriptome sequencing, after fed 2-year-old spotted scat with E<sub>2</sub>-containing baits for 30 days. Transcriptome analysis identified 218, 1949, 548, and 1718 differentially expressed genes (DEGs) (FDR &lt; 0.05 and |log2(FC)| ≥ 1) in livers of spotted scat across the Ctrl-ML <em>vs</em>. Ctrl-FL, E<sub>2</sub>-ML <em>vs</em>. E<sub>2</sub>-FL, E<sub>2</sub>-ML <em>vs</em>. Ctrl-ML, and E<sub>2</sub>-FL <em>vs</em>. Ctrl-FL groups, respectively. The amino sugar and nucleotide sugar metabolism pathway was significantly influenced in females by E<sub>2</sub>. While fatty acid metabolism, arginine and proline metabolism were significantly enriched in males. Several genes metabolic (<em>acsl5</em>, <em>gpx1b</em>, and <em>nots</em>), growth and reproduction-related genes (<em>igfs</em>, <em>vtgs</em>, <em>erα</em>, and <em>zps</em>) were responded to E<sub>2</sub> in a gender-specific manner. Thus, the livers of females appeared to be more sensitive to E<sub>2</sub> feeding than males, and the responsive mechanisms of spotted scat livers to E<sub>2</sub> were gender-specific. These findings will provide a foundation for understanding the molecular regulation of estrogen in fish growth and reproduction within the liver, and will also offer theoretical evidence for the artificial cultivation of spotted scat.</div></div>","PeriodicalId":8103,"journal":{"name":"Aquaculture Reports","volume":"42 ","pages":"Article 102785"},"PeriodicalIF":3.2,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Establishment and validation of a negative pressure prediction model for rice air-suction seed-metering device
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2025-04-03 DOI: 10.1016/j.biosystemseng.2025.104126
Zishun Huang , Youcong Jiang , Wei Qin , Siyu He , Cheng Qian , Zaiman Wang , Ying Zang
The negative pressure of the rice air-suction seed metering device has a significant impact on the accuracy, efficiency, uniformity, low damage, and protection of sowing. However, there is a lack of convincing research on predicting the negative pressure. A fast, efficient, and concise method for predicting the negative pressure needs to be urgently studied. To address this issue, a negative pressure prediction model was proposed. Firstly, the most essential equation of the negative pressure prediction model was derived by analysis of the air-suction principle. Secondly, the rice seed gravity G of the equation was fitted to be a function by calculus and weighted average. Afterwards, the air-suction force Fa of the equation was fitted to be a function by the CFD-DEM simulation experiment. To obtain a relatively simple and accurate fitting function, the linear fitting function was chosen to represent the relationship between the air-suction force and the negative pressure. Then, the impact levels of negative pressure and rotation speed are determined to be 400–800 Pa and 30–60 r·min−1, respectively. The equivalent coefficient ψ of the equation was calculated to be 2.73 by orthogonal experiment and parameter target optimisation. Finally, the applicability of the pressure prediction model was verified by the verification experiment. The result shows that the prediction model can effectively predict the negative pressures corresponding to various rice seeds. This study provides a theoretical foundation, technical accumulation, and scientific guidance for the subsequent optimisation design of the rice air-suction seed-metering device.
{"title":"Establishment and validation of a negative pressure prediction model for rice air-suction seed-metering device","authors":"Zishun Huang ,&nbsp;Youcong Jiang ,&nbsp;Wei Qin ,&nbsp;Siyu He ,&nbsp;Cheng Qian ,&nbsp;Zaiman Wang ,&nbsp;Ying Zang","doi":"10.1016/j.biosystemseng.2025.104126","DOIUrl":"10.1016/j.biosystemseng.2025.104126","url":null,"abstract":"<div><div>The negative pressure of the rice air-suction seed metering device has a significant impact on the accuracy, efficiency, uniformity, low damage, and protection of sowing. However, there is a lack of convincing research on predicting the negative pressure. A fast, efficient, and concise method for predicting the negative pressure needs to be urgently studied. To address this issue, a negative pressure prediction model was proposed. Firstly, the most essential equation of the negative pressure prediction model was derived by analysis of the air-suction principle. Secondly, the rice seed gravity <em>G</em> of the equation was fitted to be a function by calculus and weighted average. Afterwards, the air-suction force <em>F</em><sub>a</sub> of the equation was fitted to be a function by the CFD-DEM simulation experiment. To obtain a relatively simple and accurate fitting function, the linear fitting function was chosen to represent the relationship between the air-suction force and the negative pressure. Then, the impact levels of negative pressure and rotation speed are determined to be 400–800 Pa and 30–60 r·min<sup>−1</sup>, respectively. The equivalent coefficient <em>ψ</em> of the equation was calculated to be 2.73 by orthogonal experiment and parameter target optimisation. Finally, the applicability of the pressure prediction model was verified by the verification experiment. The result shows that the prediction model can effectively predict the negative pressures corresponding to various rice seeds. This study provides a theoretical foundation, technical accumulation, and scientific guidance for the subsequent optimisation design of the rice air-suction seed-metering device.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"253 ","pages":"Article 104126"},"PeriodicalIF":4.4,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A geodesic distance regression-based semantic keypoints detection method for pig point clouds and body size measurement
IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2025-04-03 DOI: 10.1016/j.compag.2025.110285
Zhankang Xu , Qifeng Li , Weihong Ma , Mingyu Li , Daniel Morris , Zhiyu Ren , Chunjiang Zhao
Pig body size reflects its physical shape and growth development, making accurate non-contact body size measurement crucial for practical farming production. The point cloud-based non-contact body size measurement method provides an effective alternative to traditional manual measurement, with the key challenge being the accurate identification of measurement keypoints. Many recent studies have focused solely on point cloud slicing or segmentation to indirectly locate body size keypoints, while research on directly predicting keypoints from livestock point clouds remains scarce. Therefore, we propose a method for directly detecting point clouds keypoints based on geodesic distance regression, which enables efficient measurement of pig body size through these keypoints. This approach transforms the detection of semantic keypoints in point clouds into a regression problem of geodesic distances between points and keypoints through heatmaps. The improved PointNet++ encoder-decoder architecture is utilized to learn distances on the manifold, enabling efficient keypoint detection. The model can be viewed as outputting probability values for each point corresponding to various keypoints, with the point having the highest probability selected as the predicted keypoint. Experimental results demonstrate an average root mean square error (RMSE) of 4.115 cm across eight keypoint types. The derived pig body size parameters achieve mean absolute percentage errors (MAPE) of 2.83 % for body length, 5.33 % for body width, 2.84 % for body height, 3.73 % for rump circumference, 4.83 % for thoracic circumference, and 3.83 % for abdominal circumference. The proposed geodesic distance regression-based semantic keypoints detection method for pig point clouds enables automated, accurate, and robust body size measurements, demonstrating significant potential for widespread application.
{"title":"A geodesic distance regression-based semantic keypoints detection method for pig point clouds and body size measurement","authors":"Zhankang Xu ,&nbsp;Qifeng Li ,&nbsp;Weihong Ma ,&nbsp;Mingyu Li ,&nbsp;Daniel Morris ,&nbsp;Zhiyu Ren ,&nbsp;Chunjiang Zhao","doi":"10.1016/j.compag.2025.110285","DOIUrl":"10.1016/j.compag.2025.110285","url":null,"abstract":"<div><div>Pig body size reflects its physical shape and growth development, making accurate non-contact body size measurement crucial for practical farming production. The point cloud-based non-contact body size measurement method provides an effective alternative to traditional manual measurement, with the key challenge being the accurate identification of measurement keypoints. Many recent studies have focused solely on point cloud slicing or segmentation to indirectly locate body size keypoints, while research on directly predicting keypoints from livestock point clouds remains scarce. Therefore, we propose a method for directly detecting point clouds keypoints based on geodesic distance regression, which enables efficient measurement of pig body size through these keypoints. This approach transforms the detection of semantic keypoints in point clouds into a regression problem of geodesic distances between points and keypoints through heatmaps. The improved PointNet++ encoder-decoder architecture is utilized to learn distances on the manifold, enabling efficient keypoint detection. The model can be viewed as outputting probability values for each point corresponding to various keypoints, with the point having the highest probability selected as the predicted keypoint. Experimental results demonstrate an average root mean square error (RMSE) of 4.115 cm across eight keypoint types. The derived pig body size parameters achieve mean absolute percentage errors (MAPE) of 2.83 % for body length, 5.33 % for body width, 2.84 % for body height, 3.73 % for rump circumference, 4.83 % for thoracic circumference, and 3.83 % for abdominal circumference. The proposed geodesic distance regression-based semantic keypoints detection method for pig point clouds enables automated, accurate, and robust body size measurements, demonstrating significant potential for widespread application.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"234 ","pages":"Article 110285"},"PeriodicalIF":7.7,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection of the number of wheat stems using multi-view images from smart glasses
IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2025-04-03 DOI: 10.1016/j.compag.2025.110370
Tao Liu , Jianliang Wang , Junfan Chen , Weijun Zhang , Ying Wang , Yuanyuan Zhao , Yi Sun , Zhaosheng Yao , Jiayi Wang , Chengming Sun
The number of stems in wheat populations is a fundamental parameter to achieve high yields and a critical agronomic trait in wheat production and variety selection. Although smart agricultural technology can estimate various agronomic parameters, the wheat stem is often obscured by multiple canopy leaves, making estimation challenging. Consequently, the current method to determine the stem number predominantly relies on labor-intensive manual techniques, which are inefficient and significantly influenced by subjective factors. This study proposes the use of augmented reality (AR) glasses as an imaging data acquisition tool to detect the number of wheat stems with high precision based on features from the top canopy and lateral images of wheat clusters. Following a correlation analysis, four color features, Coverage, the texture feature Contrast, and two lateral peak features SI (Peaks1 and Peaks2) of the top canopy image were identified. The study comparatively analyzed the image features from three perspectives for their accuracy in detecting the number of wheat stems. The results indicated a strong correlation between the peak feature (SI) and the number of wheat stems with an R2 value above 0.75. The estimation using only canopy image features (CC) resulted in significant errors, where the RMSE was 20 under high-density planting conditions. Using only Peaks1 and Peaks2 yielded higher accuracy in the stem estimation, but uncertainties persisted in some high-density scenarios. Furthermore, the study combined CC and SI for the estimation and used a random forest algorithm to construct a stem estimation model. This model maintained an RMSE below 10, even under high planting densities and below 5 under low densities, which demonstrated high accuracy. This study could provide insights into stem detection for crops similar to wheat and offer a reference for other studies that require hands-free and first-person perspective image acquisition.
{"title":"Detection of the number of wheat stems using multi-view images from smart glasses","authors":"Tao Liu ,&nbsp;Jianliang Wang ,&nbsp;Junfan Chen ,&nbsp;Weijun Zhang ,&nbsp;Ying Wang ,&nbsp;Yuanyuan Zhao ,&nbsp;Yi Sun ,&nbsp;Zhaosheng Yao ,&nbsp;Jiayi Wang ,&nbsp;Chengming Sun","doi":"10.1016/j.compag.2025.110370","DOIUrl":"10.1016/j.compag.2025.110370","url":null,"abstract":"<div><div>The number of stems in wheat populations is a fundamental parameter to achieve high yields and a critical agronomic trait in wheat production and variety selection. Although smart agricultural technology can estimate various agronomic parameters, the wheat stem is often obscured by multiple canopy leaves, making estimation challenging. Consequently, the current method to determine the stem number predominantly relies on labor-intensive manual techniques, which are inefficient and significantly influenced by subjective factors. This study proposes the use of augmented reality (AR) glasses as an imaging data acquisition tool to detect the number of wheat stems with high precision based on features from the top canopy and lateral images of wheat clusters. Following a correlation analysis, four color features, <em>Coverage</em>, the texture feature <em>Contrast</em>, and two lateral peak features SI (<em>Peaks1</em> and <em>Peaks2</em>) of the top canopy image were identified. The study comparatively analyzed the image features from three perspectives for their accuracy in detecting the number of wheat stems. The results indicated a strong correlation between the peak feature (SI) and the number of wheat stems with an <em>R<sup>2</sup></em> value above 0.75. The estimation using only canopy image features (CC) resulted in significant errors, where the <em>RMSE</em> was 20 under high-density planting conditions. Using only <em>Peaks1</em> and <em>Peaks2</em> yielded higher accuracy in the stem estimation, but uncertainties persisted in some high-density scenarios. Furthermore, the study combined CC and SI for the estimation and used a random forest algorithm to construct a stem estimation model. This model maintained an <em>RMSE</em> below 10, even under high planting densities and below 5 under low densities, which demonstrated high accuracy. This study could provide insights into stem detection for crops similar to wheat and offer a reference for other studies that require hands-free and first-person perspective image acquisition.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"235 ","pages":"Article 110370"},"PeriodicalIF":7.7,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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