Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (180)

Search Parameters:
Keywords = beef cattle industry

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
41 pages, 9223 KB  
Article
Water Footprint Assessment of China’s Beef Cattle Industry: Spatiotemporal Patterns, Scale Effects, and Spatial Drivers
by Xianghui Yin, Shiqin Sun and Tengyun Gao
Sustainability 2026, 18(16), 8513; https://doi.org/10.3390/su18168513 - 19 Aug 2026
Viewed by 349
Abstract
As a major beef cattle producing country, China’s beef industry is expanding and undergoing structural transformation. A systematic assessment of the spatiotemporal evolution and driving factors of its water footprint is of great significance for the green and sustainable development of the beef [...] Read more.
As a major beef cattle producing country, China’s beef industry is expanding and undergoing structural transformation. A systematic assessment of the spatiotemporal evolution and driving factors of its water footprint is of great significance for the green and sustainable development of the beef cattle industry, and also provides a reference for understanding the current status of beef cattle water footprint, formulating environmental policies, and supporting the sustainable development of other livestock and poultry species. Based on the life cycle assessment (LCA) method, quantified the green, blue, and grey water footprints of China’s beef cattle industry “from cradle to farm gate” across 31 provinces from 2002 to 2022, covering three farming scales (small-scale, medium-scale, and large-scale) classified according to the proportion of beef cattle slaughter numbers (1–49 head, 50–500 head, and >500 head), and encompassing four stages: feed crop cultivation, beef cattle farming, manure leaching, and transportation and processing, covering three farming scales (small-scale, medium-scale, and large-scale) classified according to the proportion of beef cattle slaughter numbers (1–49 head, 50–500 head, and >500 head), and encompassing four stages: feed crop cultivation, beef cattle farming, manure leaching, and transportation and processing. Furthermore, kernel density estimation and standard deviational ellipse methods were employed to reveal the spatiotemporal evolution characteristics, and a Spatial Durbin Model (SDM) was constructed to identify the driving factors. The findings indicate that the total water footprint of China’s beef cattle industry first decreased and then increased, reaching 918.70 km3 in 2022. The grey water footprint accounted for an average of 90.85% annually, and the manure leaching stage contributed the largest share (averaging 62.24% annually), suggesting that this stage warrants priority attention from the perspective of this indicator. Large-scale farming exhibited the lowest water footprint per unit of beef (averaging 29.39 m3/kg), while small-scale farming had the highest (54.65 m3/kg). The spatial pattern showed a trend of “high in the west and low in the east, rising in the west and declining in the east.” The spatial model results revealed that the water footprint per unit of beef exhibited significant spatial agglomeration and spatial spillover effects. Full article
(This article belongs to the Section Sustainable Agriculture)
Show Figures

Figure 1

18 pages, 1233 KB  
Article
Effects of Dietary Alfalfa Hay Supplementation on Growth Performance, Nutrient Digestion, Serum Biochemistry and Rumen Fermentation in Angus Cattle
by Hasnain Ali Khan, Xiaokang Lv, Chao Chen, Gaoqing Xu, Yakun Yao, Muhammad Haris and Jinling Hua
Agriculture 2026, 16(15), 1629; https://doi.org/10.3390/agriculture16151629 - 30 Jul 2026
Viewed by 401
Abstract
Alfalfa (Medicago sativa L.) hay is a high-quality legume forage, but most previous studies have evaluated a single fixed inclusion level or alfalfa as a replacement for other forages. How growth performance, nutrient digestibility, serum biochemistry, rumen fermentation and rumen microbiota jointly [...] Read more.
Alfalfa (Medicago sativa L.) hay is a high-quality legume forage, but most previous studies have evaluated a single fixed inclusion level or alfalfa as a replacement for other forages. How growth performance, nutrient digestibility, serum biochemistry, rumen fermentation and rumen microbiota jointly respond to graded alfalfa supplementation in growing Angus cattle remains undefined. The objective of this study was to determine the effects of two fixed supplementation levels of alfalfa hay (1 and 2 kg/day) on growth performance, apparent digestibility of nutrients, serum biochemical parameters, rumen fermentation characteristics and rumen microbial community composition in growing Angus cattle. Fifteen Angus (407.4 ± 34.15 kg; 11–14 months) were randomly distributed to the three treatments: control (C; basal TMR), low alfalfa (AlfL; 1 kg/d), and high alfalfa (AlfH; 2 kg/d), and fed for 70 days with 10 days of adaptation. Intake, body weight, nutrient digestibility, serum parameters, rumen fermentation and microbiota were determined. Feed-to-gain ratio was improved (p = 0.002) with AlfH (8.04) being more efficient than C (8.93). The digestibility of DM (p = 0.013) and CP (p = 0.001) were significantly increased. The rumen pH and NH3-N tended to rise (p = 0.059 and 0.060, respectively) and acetate, propionate, and TVFA concentrations were significantly greater (p < 0.05) in the alfalfa groups. There was increase in serum total protein (p = 0.018) and serum GSH-Px activity (p < 0.001), and decrease in serum MDA (p < 0.001) in AlfH. The bacterial community structure in the rumen remained largely consistent across treatments, with Bacillota and Bacteroidota as the two dominant phyla, and only two low abundance phyla differing significantly, both higher in AlfH, Patescibacteria (p = 0.009) and Thermodesulfobacteriota (p = 0.003); the dominant phyla and genus level composition were unaffected. These findings provide new evidence that moderate supplementation with alfalfa hay can enhance nutrient utilization, rumen fermentation, and antioxidant status without adversely affecting metabolic health. From a practical perspective, supplementation with 2 kg/day of alfalfa hay may represent an effective feeding strategy for improving feed efficiency in growing Angus cattle, particularly in production systems relying on low-quality forage resources. Full article
Show Figures

Figure 1

30 pages, 3537 KB  
Article
Assessing the Resilience of China’s Beef Cattle Industry: Measurement, Spatiotemporal Dynamics, and Obstacle Factors
by Ziyi Zhang, Chengqing Guo, Yan Gao and Huifeng Zhao
Sustainability 2026, 18(14), 7014; https://doi.org/10.3390/su18147014 - 9 Jul 2026
Viewed by 597
Abstract
In the context of increasing beef import dependence, global feed-market volatility, climate risks, and sustainability-oriented livestock transformation, strengthening the resilience of China’s beef cattle industry is essential for food security, rural livelihoods, and green livestock development. Using panel data from 31 Chinese provinces [...] Read more.
In the context of increasing beef import dependence, global feed-market volatility, climate risks, and sustainability-oriented livestock transformation, strengthening the resilience of China’s beef cattle industry is essential for food security, rural livelihoods, and green livestock development. Using panel data from 31 Chinese provinces from 2012 to 2022, this study constructs a four-dimensional resilience evaluation system covering foundational, resistance, recovery, and sustainability capacities, and applies the entropy weight method, kernel density estimation, the Dagum Gini coefficient, spatial autocorrelation analysis, and an obstacle degree model. The results show that the national resilience index of China’s beef cattle industry increased from 0.105 in 2012 to 0.167 in 2022, although the overall level remained relatively low. Sustainability capacity exhibited a shallow U-shaped trajectory, while foundational, resistance, and recovery capacities improved more steadily. The average Dagum Gini coefficient was 0.277, indicating persistent regional imbalance in beef cattle industry resilience. Provincial disparities widened, positive spatial agglomeration weakened, and local spatial heterogeneity became more pronounced. The key constraints included insufficient forage supply, a low level of production scale, weak breeding infrastructure, and lagging innovation capacity, with clear spatial heterogeneity. This study develops a resilience evaluation framework for long-cycle livestock industries and provides empirical evidence and policy implications for the sustainable development of the beef cattle industry in China and other developing livestock systems. Full article
Show Figures

Figure 1

22 pages, 6670 KB  
Article
Potential Host-Directed Mechanisms of Houttuynia cordata in Bovine Mycoplasma bovis Pneumonia: A Network Pharmacology and Molecular Docking Study
by Meihe Zhao, Tingyu Li, Liyin Du, Qinghua Deng, Jingdong Mao, Zhenwei Jia and Yuming Zhang
Vet. Sci. 2026, 13(7), 658; https://doi.org/10.3390/vetsci13070658 - 7 Jul 2026
Viewed by 570
Abstract
Bovine Mycoplasma bovis pneumonia (MBP) is an important component of bovine respiratory disease, and its management is complicated by persistent infection and antimicrobial stewardship concerns. Houttuynia cordata Thunb. has reported anti-inflammatory and immunomodulatory activities, but its potential host-directed mechanisms in MBP remain unclear. [...] Read more.
Bovine Mycoplasma bovis pneumonia (MBP) is an important component of bovine respiratory disease, and its management is complicated by persistent infection and antimicrobial stewardship concerns. Houttuynia cordata Thunb. has reported anti-inflammatory and immunomodulatory activities, but its potential host-directed mechanisms in MBP remain unclear. This in silico study used network pharmacology and molecular docking to identify candidate compounds, common drug–disease targets, enriched biological functions, and predicted ligand–target interactions. A total of 145 putative targets of H. cordata and 474 MBP-associated disease targets were obtained from TCMSP, GeneCards, OMIM, and CTD, yielding 43 common drug–disease targets. Dual-confidence STRING analysis, cytoHubba ranking, and MCODE module analysis prioritized TNF, IL6, IL1B, PTGS2, PPARG, IFNG, CASP3, and MMP9 as candidate core targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment indicated convergence on cytokine-mediated signaling, inflammatory response, immune regulation, oxidative stress, IL-17 signaling, and TNF signaling. Molecular docking suggested favorable predicted interactions for quercitrin–PTGS2, quercetin–TNF, quercetin–IL6, and quercitrin–CASP3. These computational findings suggest that H. cordata may be associated with host inflammatory and immune-response modulation in MBP, mainly through flavonoid-related interactions with inflammation- and apoptosis-related targets. Further bovine-specific experimental validation is required before biological activity or practical application can be inferred. Full article
Show Figures

Figure 1

18 pages, 1007 KB  
Review
From Control to Eradication: The Role of Point-of-Care Testing in Modernising Australia’s Bovine Viral Diarrhoea (BVD) Disease Management
by Stephen Ogada, Muhammad Noman Naseem, Shahab Ranjbar, Joshua Aleri and Sheila Cecily Ommeh
Viruses 2026, 18(6), 608; https://doi.org/10.3390/v18060608 - 27 May 2026
Viewed by 1121
Abstract
Bovine Viral Diarrhoea (BVD) is an infectious disease caused by the Bovine Viral Diarrhoea Virus (BVDV), a member of the genus Orthopestivirus. The disease remains endemic across Australian beef and dairy production systems, imposing a multi-million-dollar annual burden on animal health, welfare, [...] Read more.
Bovine Viral Diarrhoea (BVD) is an infectious disease caused by the Bovine Viral Diarrhoea Virus (BVDV), a member of the genus Orthopestivirus. The disease remains endemic across Australian beef and dairy production systems, imposing a multi-million-dollar annual burden on animal health, welfare, and industry sustainability. BVDV can be transmitted both horizontally and vertically, with persistently infected (PI) animals serving as the primary source of infection. Rapid identification and subsequent culling of PI animals are fundamental requirements for any successful eradication program. Currently, Australia’s decentralised, non-compulsory approach places the responsibility of biosecurity on individual producers, resulting in a fragmented national landscape. This review proposes that the strategic deployment of rapid, field-deployable point-of-care (POC) diagnostics serves as the transformative catalyst needed for a coordinated national eradication pathway. POC approaches utilising technologies such as lateral flow assays, nucleic acid amplification tests, and biosensors enable real-time, crush-side diagnosis and high-throughput surveillance, proving effective for early detection and control of infectious diseases. When integrated with robust biosecurity measures and optimised vaccination strategies, these POC advancements offer a scientifically sound and commercially viable pathway toward the systematic eradication of BVDV in the Australian cattle industry. Full article
(This article belongs to the Special Issue Bovine Viral Diarrhea Viruses and Other Pestiviruses)
Show Figures

Figure 1

21 pages, 2915 KB  
Article
Tissue-Specific Accumulation and Dietary Risk of Arsenic and Other Potentially Toxic Elements in Retail Meats
by Syed Sayyam Abbas, Syed Ali Musstjab Akber Shah Eqani, Ismat Nawaz, Mansoor A. Alghamdi, Ahmed S. Summan, Abdul Qadir, Shabbar Abbas, Iqra Rasheed, Syeda Maria Ali, Mustafa Nawaz Shafqat, Mohammed I. Orif, Heqing Shen and Nadeem Ali
J. Xenobiotics 2026, 16(3), 90; https://doi.org/10.3390/jox16030090 - 21 May 2026
Viewed by 1416
Abstract
Data on arsenic (As) and other potentially toxic elements (PTEs) in Pakistani retail meats are limited, constraining evidence-based dietary risk assessment and management. This study aimed to determine the concentrations and profiles of As and seven other PTEs (Cr, Ni, Mn, Pb, Cd, [...] Read more.
Data on arsenic (As) and other potentially toxic elements (PTEs) in Pakistani retail meats are limited, constraining evidence-based dietary risk assessment and management. This study aimed to determine the concentrations and profiles of As and seven other PTEs (Cr, Ni, Mn, Pb, Cd, Cu, Zn) in commonly consumed meats and to evaluate the associated non-carcinogenic health risks. Ninety-two paired liver and muscle samples from broiler chicken, goat (mutton), and beef cattle were collected from four cities across the Indus Plain and analyzed using inductively coupled plasma mass spectrometry (ICP-MS). Dietary exposure was evaluated using estimated daily intake (EDI), target hazard quotient (THQ), and hazardous index (HI) under typical and high-consumption scenarios. Overall, Zn and Cu exhibited the highest concentrations, followed by Mn and Cr, whereas As, Pb, Ni, and Cd occurred at comparatively lower but environmentally relevant levels. Beef liver exhibited the highest contamination levels, exceeding FAO/WHO permissible limits for Pb, Cu, and Cd in up to 40% of samples. In contrast, mutton and beef muscle contained the highest As and Zn concentrations, while chicken muscle showed elevated Cr levels. Multivariate statistical analysis revealed three dominant co-variation patterns, suggesting potential contamination pathways: (i) geogenic groundwater sources enriched with As, Cr, and Ni; (ii) atmospheric and industrial dust inputs linked with Pb, Cd, and Mn; (iii) mineral-enriched feed additives potentially contributing to elevated Zn and Cu, particularly in poultry. Under high-consumption scenarios, THQ values for As, Cr, Cu, and Zn exceeded the safety threshold (THQ > 1), highlighting beef products as the dominant source of chronic dietary risk. Overall, the findings highlight pronounced tissue- and species-specific accumulation trends, and emphasizes the urgent need for stricter feed and water quality control measures to minimize dietary exposure to PTEs. Full article
Show Figures

Figure 1

19 pages, 2714 KB  
Article
Uncovering Hidden Costs and Lean Improvement in Large-Scale Beef Cattle Farming: An Integrated MFCA-VSM Approach
by Ying Wang, Ding Wang, Xu-Jing Liu and Zi-Qian Yue
Sustainability 2026, 18(8), 4028; https://doi.org/10.3390/su18084028 - 18 Apr 2026
Viewed by 688
Abstract
Addressing the persistent challenges of low resource utilization efficiency and the difficulty in quantifying hidden costs within the beef cattle sector, this study proposes an integrated diagnostic methodology that couples Material Flow Cost Accounting (MFCA) with Value Stream Mapping (VSM). Using a cohort [...] Read more.
Addressing the persistent challenges of low resource utilization efficiency and the difficulty in quantifying hidden costs within the beef cattle sector, this study proposes an integrated diagnostic methodology that couples Material Flow Cost Accounting (MFCA) with Value Stream Mapping (VSM). Using a cohort of 1623 beef cattle finished in 2024 at the case study farm in Heilongjiang Province, China, the full life-cycle accounting reveals that hidden costs constitute 6.43% of total inputs. Attribution analysis further pinpoints two critical nodes: feed loss and bedding consumption, which account for 33.14% and 35.77% of negative product costs, respectively. Based on these diagnostics, two optimization strategies were devised: refined feed supply chain management and a recycled bedding system centered on the aerobic fermentation of cattle manure. Empirical estimates indicate that upgrading hardware facilities could reduce the feed loss rate to under 2%, yielding annual savings of ¥485,200. Furthermore, the bedding recycling system not only achieves zero waste discharge but also generates an average annual displacement income of ¥3.504 million, with an investment payback period of just 0.54 years. These findings demonstrate the efficacy of the coupled MFCA-VSM model in identifying environmental costs and unlocking economic potential, thereby providing an actionable pathway for the livestock industry’s transition toward more intensive and circular practices. Full article
Show Figures

Figure 1

19 pages, 8536 KB  
Article
Anthocyanins Alleviate Persistent Corpus Luteum and Ovarian Quiescence in Beef Cows by Modulating Gut Microbiota and Reducing Granulosa Cell Apoptosis
by Jiandong Wang, Xue Zhang, Youli Yu, Yi Wu and Yanan Guo
Animals 2026, 16(5), 762; https://doi.org/10.3390/ani16050762 - 1 Mar 2026
Cited by 1 | Viewed by 850
Abstract
Persistent corpus luteum (PCL) and ovarian quiescence (OQ) are key manifestations of ovarian dysfunction (OD) that lead to reduced reproductive capacity in beef cattle, posing a serious challenge to the industry. Anthocyanins (ACNs) are known for their antioxidant properties. This study aimed to [...] Read more.
Persistent corpus luteum (PCL) and ovarian quiescence (OQ) are key manifestations of ovarian dysfunction (OD) that lead to reduced reproductive capacity in beef cattle, posing a serious challenge to the industry. Anthocyanins (ACNs) are known for their antioxidant properties. This study aimed to investigate the regulatory effects of ACNs on PCL and OQ and to explore the underlying mechanisms. Forty-eight beef cows diagnosed with both OQ and PCL were selected and continuously fed ACNs for 60 days. The results showed that the regulatory effects of ACNs were dose-dependent. A high dose of ACNs (ACNH) significantly increased the number of large follicles and reduced the occurrence of PCL. ACNH treatment significantly decreased serum progesterone (P4) levels and increased estradiol (E2) levels. Furthermore, ACNH reduced microbial diversity in OD cows but significantly increased the abundance of Patescibacteria, Actinobacteriota, Proteobacteria, and Chloroflexi, while decreasing the abundance of Desulfobactera, indicating that ACNs may affect ovarian function by regulating the gut microbial environment. In an ovarian granulosa cell model of oxidative damage, ACN intervention could reduce oxidative stress levels and mitigate oxidative damage. ACNs downregulated various pro-apoptotic genes, such as P53, Fas, and Bax, while upregulating anti-apoptotic genes Bcl-2 and Bcl-xL, suggesting that ACNs significantly inhibit cell apoptosis. To conclude, these results demonstrate that ACNs improve the ovarian function of beef cows by regulating gut microbiota and reducing oxidative stress-induced apoptosis in ovarian granulosa cells, thereby enhancing the reproductive capacity of beef cattle that show reproductive disorders. These findings provide a theoretical basis for the application of ACNs in the cattle industry and showcase their potential value as natural antioxidants. Full article
(This article belongs to the Section Animal Reproduction)
Show Figures

Graphical abstract

27 pages, 4275 KB  
Article
Research on Simulation and Structural Optimization of Integrated Crop–Livestock Systems in Jilin Province
by Yujie Xia, Xiaoyu Lv, Shuang Xu and Hongpeng Guo
Systems 2026, 14(3), 254; https://doi.org/10.3390/systems14030254 - 28 Feb 2026
Viewed by 1355
Abstract
The integrated crop–livestock farming model not only enhances resource utilization efficiency and reduces environmental pollution but also serves as a vital pathway for promoting sustainable agricultural development. System dynamics models enable in-depth analysis of dynamic system changes. Therefore, in this study, we constructed [...] Read more.
The integrated crop–livestock farming model not only enhances resource utilization efficiency and reduces environmental pollution but also serves as a vital pathway for promoting sustainable agricultural development. System dynamics models enable in-depth analysis of dynamic system changes. Therefore, in this study, we constructed a comprehensive system dynamics model for the combination of farming and raising in Jilin Province, and used Vensim-PLE software(Version 6.3) to simulate and predict the dynamic changes of the agricultural structure and the future development trend based on the data of the planting and raising industry from 2006 to 2021. The results of the study show that: (1) It is expected that by 2035, the grain crop production, cash crop production, hog and beef cattle output, as well as the utilization of straw and livestock and poultry manure in Jilin Province will increase significantly. And the livestock and poultry manure load warning value reaches 0.35, which does not pose a threat to the environment. (2) By setting the simulation structure optimization analysis, it is found that the integrated crop-livestock systems performs the best in terms of economic, social, ecological and environmental benefits. (3) In 2035, Jilin Province should control the total crop planting area within 7250 thousand hectares, the number of hog output should not exceed 25 million, and the number of beef cattle slaughtered should not exceed 4.25 million, so as to ensure that the early warning value of livestock and poultry fecal matter loading is lower than 0.4, and to achieve the balance of farming and maximize economic benefits. Finally, this paper proposes policy recommendations to optimize crop structures, develop precision farming and aquaculture technologies, establish resource recycling projects, and strengthen policy support and technology promotion. Full article
(This article belongs to the Special Issue Systems Thinking and Modelling in Socio-Economic Systems)
Show Figures

Figure 1

28 pages, 348 KB  
Review
The Role of Five Key Minerals (Cu, Se, Zn, Co, Fe) in Reproductive Function of Female Cattle: Current Insights and Future Directions
by Beiyao Wang, Xinlin Li, Zimo Zhou, Yanqiu Zhu, Zhicai Zuo and Hongrui Guo
Vet. Sci. 2026, 13(2), 208; https://doi.org/10.3390/vetsci13020208 - 23 Feb 2026
Cited by 6 | Viewed by 3183
Abstract
Reproductive efficiency in female cattle is significantly influenced by micronutrient status, particularly the availability and balance of essential trace minerals. Selenium, copper, zinc, cobalt, and iron serve as critical components of enzymatic systems, antioxidant defense networks, hormone synthesis, and cellular metabolism, collectively sustaining [...] Read more.
Reproductive efficiency in female cattle is significantly influenced by micronutrient status, particularly the availability and balance of essential trace minerals. Selenium, copper, zinc, cobalt, and iron serve as critical components of enzymatic systems, antioxidant defense networks, hormone synthesis, and cellular metabolism, collectively sustaining reproductive health. This review integrates current research evidence on the physiological functions and molecular mechanisms through which these five trace minerals regulate reproductive performance in female cattle, with a specific focus on iron—an often overlooked element—highlighting the novelty of this synthesis. Both deficiency and excess of these minerals impair key reproductive outcomes such as estrous cyclicity, conception rate, and embryonic survival. Furthermore, complex interactions among minerals influence their bioavailability and physiological responses. Advances in mineral supplementation strategies, particularly the application of organic minerals and precision feeding technologies, offer promising solutions to improve reproductive performance. Elucidating these interrelationships provides a theoretical foundation for optimizing trace mineral nutrition, thereby enhancing female cattle fertility, reducing metabolic disorders and promoting the sustainable development of beef and dairy industries. Full article
29 pages, 20532 KB  
Article
Measurement, Dynamic Evolution, and Influencing Factors of Total Factor Productivity in Japan’s Beef Cattle Industry
by Jie Sheng, Haonan Ma and Yuejie Zhang
Sustainability 2026, 18(4), 2099; https://doi.org/10.3390/su18042099 - 20 Feb 2026
Viewed by 606
Abstract
Total factor productivity (TFP) serves as the primary driver of high-quality development and a key determinant for the sustainable growth of Japan’s beef cattle industry. This study analyzes panel data from nine agricultural regions in Japan, covering the period from 2004 to 2022, [...] Read more.
Total factor productivity (TFP) serves as the primary driver of high-quality development and a key determinant for the sustainable growth of Japan’s beef cattle industry. This study analyzes panel data from nine agricultural regions in Japan, covering the period from 2004 to 2022, and applies the Malmquist-Luenberger index model to measure and decompose TFP in the sector. It utilizes various methods, including the Dagum Gini coefficient, kernel density estimation, and Markov chains, to examine regional disparities and dynamic changes. Additionally, the study applies the geographic detector and spatial Durbin model to explore the spatiotemporal evolution and influencing factors. The results show that: (1) From 2004 to 2022, TFP in Japan’s beef cattle industry steadily declined, accompanied by growing regional imbalances. The Tokai region was the only area to experience positive TFP growth, while other regions generally saw declines. (2) The spatial disparity in TFP growth has increased, with an intensified imbalance and a widening gap between regions. TFP distribution is becoming more “multipolar,” with considerable dynamic mobility. (3) TFP exhibits a general positive spatial correlation. Geographic detector analysis reveals that factors such as the number of agricultural research and development personnel, fiscal support, industrial agglomeration, feed production capacity, and labor productivity are the key drivers behind spatial TFP differentiation, reflecting a complex interplay of multidimensional factors. (4) Industrial agglomeration, fiscal support, and the number of agricultural R&D personnel exhibit significant spatial positive spillover effects, indicating that coordinated regional progress is essential for fostering the sustainable and healthy development of the beef cattle industry. This study provides theoretical and empirical support for the sustainable development of Japan’s beef cattle industry and offers policy recommendations to enhance the economic growth quality of the beef cattle industries in both Japan and China. Full article
Show Figures

Figure 1

15 pages, 2189 KB  
Article
A Rapid Grading Method for Beef Appearance Quality Based on Smartphone Imaging and ImageJ
by Peng Hu, Pengfei Du, Yanxia Xing, Yiyi Li, Weimin Ma, Weizhen Xu and Weiting Wang
Foods 2026, 15(4), 709; https://doi.org/10.3390/foods15040709 - 14 Feb 2026
Viewed by 778
Abstract
The grading of beef appearance quality is crucial for standardizing market circulation and promoting the upgrading of the beef cattle industry. China’s current beef quality grading system, which relies primarily on human sensory-based visual assessment with marbling and meat color as core parameters, [...] Read more.
The grading of beef appearance quality is crucial for standardizing market circulation and promoting the upgrading of the beef cattle industry. China’s current beef quality grading system, which relies primarily on human sensory-based visual assessment with marbling and meat color as core parameters, suffers from strong subjectivity, low efficiency, and large errors. This study proposes a rapid grading method for beef rib eye muscle using smartphone imaging combined with ImageJ software. Standardized images were acquired, and ImageJ was employed for grayscale conversion, threshold segmentation, and morphological processing to extract length, width, area, and marbling proportion. The R, G, B color channels were separated to calculate the R/(R + G + B) color ratio. Pearson correlation analysis showed that the ImageJ results were highly consistent with manual measurements (correlation coefficients > 0.97), indicating good reliability. A five-level grading standard (A1–A5) was established, characterized by low cost, simple operation, and objective results. It provides an economical technical solution for beef quality grading and facilitates the intelligent development of the industry. It should be noted that this experimental grading model has only been validated under the specific experimental conditions of this study, and further verification is required for broader application. Full article
(This article belongs to the Section Food Engineering and Technology)
Show Figures

Figure 1

24 pages, 1271 KB  
Article
“Carrots or Sticks”? The Impact of Green Subsidies and Environmental Regulations on the Green Production Behavior and Synergistic Effects of Beef Cattle Breeders: An Empirical Study Based on China
by Shiwei Li, Siyuan Qi and Junlong Ma
Sustainability 2026, 18(4), 1945; https://doi.org/10.3390/su18041945 - 13 Feb 2026
Viewed by 800
Abstract
In advancing the green transformation of the livestock industry, whether “carrots” or “sticks” prove more effective remains to be further tested. Drawing on micro-level survey data from 273 beef cattle farmers in Yunnan Province, China, this study employs farmers’ subjective evaluations of green [...] Read more.
In advancing the green transformation of the livestock industry, whether “carrots” or “sticks” prove more effective remains to be further tested. Drawing on micro-level survey data from 273 beef cattle farmers in Yunnan Province, China, this study employs farmers’ subjective evaluations of green subsidies and environmental regulation intensity to characterize corresponding policy instruments. An ordered Probit model is used to analyze the impact and underlying mechanisms of green subsidies and environmental regulations on farmers’ green production behaviors. Results indicate: (1) Both green subsidies and environmental regulations promote green production practices among beef cattle farmers, with green subsidies demonstrating stronger effects that remain robust across a series of stability tests. (2) Heterogeneity analysis reveals that both policy instruments positively influence various types of green production behaviors, with the most significant effect observed on manure resource utilization. This effect is stronger among risk-preferring farmers and those participating in cooperatives. Furthermore, green subsidies significantly promote green production behaviors among small and medium-sized farmers, while environmental regulations enhance green production behaviors across all farmer sizes, with larger farmers experiencing stronger effects. (3) Mechanism analysis indicates that green subsidies and environmental regulations primarily promote green production practices by encouraging farmers to participate in green training, build green facilities, and enhance their green awareness. (4) Further analysis reveals no synergistic effects between green subsidies and environmental regulations. The research conclusion of this study can provide a reference for optimizing policy tool combinations in regions with similar beef cattle farming structures and regional characteristics. Full article
(This article belongs to the Section Sustainable Agriculture)
Show Figures

Figure 1

18 pages, 280 KB  
Article
One Cow, Two Gains: Welfare Improvement and Chemical Fertilizer Reduction from an Incentive-Based Cattle Support Program Among Poor Smallholders in Guangxi, China
by Xinjian Chen, Yan Lv and Chen Lu
Sustainability 2026, 18(4), 1816; https://doi.org/10.3390/su18041816 - 10 Feb 2026
Viewed by 650
Abstract
Under binding resource constraints and rising environmental pressures, enabling poor smallholders to raise incomes while reducing chemical input use remains a key policy challenge in many developing economies. Drawing on two waves of household survey data from Guangxi, China, this study evaluates the [...] Read more.
Under binding resource constraints and rising environmental pressures, enabling poor smallholders to raise incomes while reducing chemical input use remains a key policy challenge in many developing economies. Drawing on two waves of household survey data from Guangxi, China, this study evaluates the impacts of small-scale beef cattle rearing promoted through an incentive-based subsidy scheme (Yijiang Daibu). Exploiting quasi-experimental variation in household participation, we combine Coarsened Exact Matching (CEM) with household fixed-effects models to address selection bias and time-invariant unobserved heterogeneity. The results show that participation in dispersed cattle rearing significantly increases household welfare (measured by per capita consumption expenditure) while simultaneously reducing chemical fertilizer application, indicating clear economic and environmental co-benefits. Mechanism evidence suggests that substituting cattle manure for chemical fertilizer plays a central role in driving fertilizer reduction. Moreover, access to credit, participation in farmer cooperatives, and internet access further reinforce both welfare gains and manure–fertilizer substitution effects. Overall, incentive-based support for small-scale livestock production, when aligned with local resource endowments, can deliver both welfare gains and greener production outcomes. This study provides micro-level evidence on how well-designed industrial support policies can jointly promote inclusive growth and agricultural sustainability in smallholder-dominated regions. Full article
(This article belongs to the Special Issue Agriculture, Food, and Resources for Sustainable Economic Development)
19 pages, 7088 KB  
Article
Integrating Transcriptomics and Metabolomics to Elucidate the Molecular Mechanisms Underlying Beef Quality Variations
by Fengying Ma, Le Zhou, Yanchun Bao, Lili Guo, Jiaxin Sun, Shuai Li, Lin Zhu, Risu Na, Caixia Shi, Mingjuan Gu and Wenguang Zhang
Foods 2026, 15(3), 561; https://doi.org/10.3390/foods15030561 - 5 Feb 2026
Viewed by 908
Abstract
Elucidating the molecular mechanisms underlying beef quality differences is crucial for precision breeding of high-quality cattle. In this study, we first characterized the myofibrillar morphology of high-quality (H group) and low-quality (L group) beef samples using hematoxylin–eosin (HE) staining. Transcriptomic and metabolomic analyses [...] Read more.
Elucidating the molecular mechanisms underlying beef quality differences is crucial for precision breeding of high-quality cattle. In this study, we first characterized the myofibrillar morphology of high-quality (H group) and low-quality (L group) beef samples using hematoxylin–eosin (HE) staining. Transcriptomic and metabolomic analyses were then conducted to reveal the molecular regulatory basis of quality variation. HE staining revealed highly significant differences in muscle fiber area and diameter between H and L groups (p < 0.01), along with significant differences in muscle fiber density (p < 0.05), but no significant differences in muscle fiber perimeter. Furthermore, by focusing on five core metabolic pathways shared across the transcriptome and metabolome datasets, 30 differentially expressed genes (DEGs) and 14 differentially accumulated metabolites (DAMs) were identified. Pearson correlation analysis revealed synergistic regulation between DEGs and DAMs: AMPD2 modulates umami flavor by regulating inosine accumulation via the purine metabolism pathway; ACOX3 promotes unsaturated fatty acid synthesis and intramuscular fat deposition through carbohydrate metabolism; genes in the glycolysis/gluconeogenesis pathway maintain post-slaughter muscle pH homeostasis, thereby influencing beef tenderness. Collectively, this study integrates morphological and molecular evidence to elucidate the multi-level basis of beef quality formation, providing key candidate genes, metabolites, and pathways for molecular breeding. These findings offer comprehensive theoretical and technical support for the sustainable development of the premium beef industry. Full article
(This article belongs to the Section Meat)
Show Figures

Figure 1

Back to TopTop