Fulltext search in archive

The aim of the study was to verify whether differences in intramuscular fat quality, evaluation based on fatty acid profile and ratios, occur between cattle genotypes – the combined performance cattle breed Czech Fleckvieh and the beef breed Aberdeen Angus – under identical rearing conditions (same pasture location and nutritional management) with extensive grazing. The results of observation show the difference in the quality of intramuscular fat of bulls with combined performance and bulls with meat performance in extensive pastoral farming. Breed differences were reflected by a statistically significantly higher mean intramuscular fat (P ≤ 0.05) in the beef cattle breed (149 ± 60.1 g/kg dry matter) compared to the combined performance breed (120 ± 51.8 g/kg dry matter). A higher saturated fatty acid (SFA) value of 53.4 ± 22.2 g/kg dry matter was observed in the beef cattle breed compared to SFA 40.8 ± 18.9 g/kg dry matter (P ≤ 0.05) in the combined performance cattle breed; a higher monounsaturated fatty acid (MUFA) value of 43.8 ± 26.3 g/kg dry matter compared to a MUFA value of 42.3 ± 20.8 g/kg dry matter (P > 0.05); and a higher value of polyunsaturated fatty acids n-3 (PUFA n-3) 0.76 ± 0.33 g/kg dry matter (P ≤ 0.05) compared to PUFA n-3 0.48 ± 0.21 g/kg dry matter in combined performance cattle breed. A higher value of polyunsaturated fatty acids n-6 (PUFA n-6) 3.66 ± 1.39 g/kg dry matter was found in the combined performance cattle breed compared to the meat cattle breed with PUFA n-6 3.54 ± 0.96 g/kg dry matter (P > 0.05). A more favourable n-6/n-3 PUFA ratio was observed in the Aberdeen Angus (P ≤ 0.05). The results suggest that the different genotypes of the bull breeds studied, reared on extensively used pasture, may influence the amount of intramuscular fat and its quality.

The avocado (Persea americana Mill.) is a high value fruit crop in Indonesia. This exotic commodity is affected by dieback disease, an unrecorded disease in the country that threatens the production. The objectives of the present study were to characterise the pathogen and culturable non-pathogenic fungi associated with the dieback disease of avocado plants. Fungal isolates were collected from branches of avocados showing dieback symptom in the Standard and Instrument Tropical Fruit Applied Institute (SITFAI) experimental orchards during 2022–2023. A total of 17 fungal isolates selected from 73 fungal isolates isolated from three location were characterised morphologically, molecularly, phylogenetically, and by pathogenicity tests. The fungal isolates were tested for their pathogenicity to the local variety of avocado with two stages and three replications. The identification of the fungal species was conducted on the morphological characteristics and molecular analysis obtained from the internal transcribed spacer (ITS), the 28S region of the ribosomal DNA, and translation elongation factor 1 (TEF1). The results revealed that the artificial inoculation of Avo7 and Avo3.2 isolates, identified as Lasiodiplodia theobromae, caused necrosis and wilt symptoms on the avocado seedlings. Several fungal species from the Botryosphaeriaceae, Eurotiomycetes, and Sordariomycetes groups were found alongside the pathogen responsible for causing the dieback symptoms in the avocados. The most frequently isolated genera were fast growing, Botryosphaeriaceae (58.9%), followed by Penicillium spp. (20.5%), Pestalotiopsis spp. (15.1%) and Colletotrichum spp. (5.4%). The information in this article should be used as new insights about the incidence of dieback disease caused by L. theobromae and proper management strategies against dieback disease on avocado need to be developed.

Disturbing the remaining forest ecosystem in the Cibodas Botanical Garden (CBG) has affected the dynamics of the soil macroarthropod communities. This study was conducted in three remaining forest locations in the CBG with different levels of disturbance. Soil macroarthropod samples were collected using the pitfall trap method with 30 traps and analysed using the Shannon-Wiener diversity index, Pielou's evenness, Simpson's dominance, and Margalef's species richness to assess the dynamics of the soil macroarthropod community. This study analysed how these communities respond to different levels of disturbance in the garden, namely Jalan Akar (JA; low), Wornojiwo (WJ; moderate), and Ciismun (CI; high), which were influenced by tourism activities and local environmental conditions. The results showed that individuals from the Hymenoptera group accounted for 60.05% of the total number of soil macroarthropods found. Site WJ, which experienced moderate disturbance, had the highest number of individuals and species richness of soil macroarthropods. In contrast, site CI, which experienced high levels of disturbance, had a lower number of individuals and lower species richness, diversity and evenness indices. Site JA, which experienced low levels of disturbance, exhibited higher diversity and evenness indices. These results demonstrate that disturbance affects the presence of soil macroarthropods at their respective levels of disturbance. However, analysing the spatial distribution of soil macroarthropods in each studied taxon using the Morisita index revealed that they were dominantly clustered and exhibited varied distribution patterns. The study concludes that maintaining minimal disturbance is essential to preserve soil biodiversity and ecological balance in managed forest ecosystems such as the Cibodas Botanical Garden.

Thawed meat is usually of lower quality and less expensive than chilled meat, which some dishonest people may exploit by fraudulently marketing it as chilled. This study focused on methods for detecting and distinguishing frozen meat from chilled meat. The activity of the enzyme aconitase in the eluate was determined, and the mineral cations (Na⁺, K⁺, Mg²⁺) as well as the concentrations of organic acids (acetic, citric, and lactic) were analysed in chilled and thawed meat stored for 7, 14, and 150 days at −18 °C. After 150 days of storage, aconitase activity increased from 47.2 ± 7.2 U·L^–1 to 395.3 ± 59.2 U·L^–1 in pork, from 45.8 ± 11.5 U·L^–1 to 133.3 ± 31.8 U·L^–1 in beef, and from 17.2 ± 8.6 U·L^–1 to 143.6 ± 41.5 U·L^–1 in chicken. The mineral content decreased during storage in meat samples, especially Na⁺ and K⁺ cations (P < 0.05). The results for organic acids were less conclusive. Principal component analysis (PCA) of the data confirmed a clear separation between chilled and thawed meat for all species, with a high variability of nearly 72%.

Diarrhoea in newborn piglets represents a significant challenge to pig production. Controlled oral exposure, also known as “feedback”, whereby sows are exposed at least two weeks before farrowing to pathogens that cause health problems in piglets, is a traditional method of diarrhoea prevention. One type of feedback involves fermenting cow’s milk with faeces from piglets suffering from diarrhoea and administering it to sows before farrowing. The bacterial composition of the faecal inoculum and fermented milk was compared in this study, and the safety of administering the fermented milk to pregnant sows was evaluated. Using microbiota characterisation by 16S rRNA gene sequencing, the genera Acetobacter, Lactobacillus and Lactococcus formed the core microbiota of the fermented milk. However, Clostridium perfringens accounted for up to 33% of the total microbiota in some fermented milk samples. Interestingly, the drop in pH during the later stages of fermentation inactivated C. perfringens and the samples were thus enriched for inactivated C. perfringens antigen. Our findings contribute to a better understanding of the mode of action of fermented milk when used as a form of feedback.

Dioscorea species possess valuable properties that make them suitable for use in food production. This study characterised doughs made with flours from two species of Dioscorea by evaluating their nutritional, rheological and textural properties for use in baking. Dioscorea composita flour had a higher crude fibre content (1.5% ± 0.11), while Dioscorea bulbifera flour exhibited higher antioxidant content [930.5 mg GAE · (100 g)^–1 dry matter] and better protein digestibility (89.06% ± 0.7%). Wheat flour was substituted with Dioscorea flour (0–30%) to make composite doughs. Doughs containing D. composita exhibited superior biaxial extensibility (41.22 ± 11.9 mm at 20% substitution), compared to the control (21.4 ± 2.7 mm), indicating their potential for use in bread production. Meanwhile, doughs containing 20% or more D. bulbifera flour were more suitable for products such as biscuits or pitta bread. However, all composite doughs were harder to handle, likely due to gluten dilution and component interactions, regardless of the Dioscorea species used. Therefore, the Dioscorea species used in this study could be considered promising candidates for inclusion in suitable bakery products.

This review examines bacteriophages as alternatives to antibiotic growth promoters (AGPs) in broiler chickens, with a unique focus on effects observed in studies without experimental bacterial challenges. Driven by global antimicrobial resistance (AMR) concerns and sustainable poultry production demands, phage supplementation, a targeted strategy, potentially improves growth performance and gut health by preserving beneficial microbiota. This literature analysis assesses phage efficacy in healthy broilers under non-challenge conditions, evaluating key variables such as phage concentration, delivery, and targets, as well as outcomes such as feed conversion ratio (FCR) and gut health markers. Crucially, this review extends beyond efficacy to explore phage immunomodulatory capabilities, outlines optimisation strategies, and addresses risks and mitigation. Key findings show mixed efficacy of phages in non-challenged broilers: significant improvements in FCR and gut health were generally observed with high phage concentrations (e.g., ≥10⁸ PFU/g) and continuous delivery protocols, whereas lower doses yielded inconsistent or minimal benefits. Furthermore, choosing which bacteria phages target – for example, aiming at pathogens like Salmonella or managing common gut bacteria such as E. coli – greatly impacts outcomes. While phages show considerable potential as AGP alternatives, the review highlights that further research is vital to resolve inconsistencies, standardise protocols, and understand host genetic and environmental influences to optimise their commercial application.

In the context of the modern EU bioeconomy, the use of industrial crops, particularly castor beans (Ricinus communis L.), is relevant for the production of industrial and energy products without competing with food crops. Castor oil is used for the production of biodiesel, lubricants, paints and coatings, cosmetics, and pharmaceuticals. In Ukraine, castor beans can be cultivated on low-yield soils, with seed yields ranging from 1.5 t/ha to 2.1 t/ha depending on the variety. However, the morphological features of the fruits and uneven ripening complicate the mechanisation of harvesting and seed cleaning processes. Existing equipment designed for other crops cannot be applied due to the risk of damaging the castor seeds. A design of a castor seed cleaning machine has been proposed, combining mechanical fruit shelling with the aerodynamic separation of the mixture. The machine is equipped with an eccentric crushing cone, rubber linings, a pneumatic separation channel, a cyclone, and an automated control unit. As a result of numerical modelling and experimental studies of the process of separating and cleaning castor seeds, dependencies were obtained for the productivity of the developed machine Q, power consumption P, specific energy consumption E, fraction of unshelled fruits (segments) ξ_f, content of the clean seed in the seed collector ψ_s-s depending on the distance between the reverse and crushing cones δ, rotation frequency of the crushing cone n, diameter of the feed opening D_in, inclination angle of the crushing cone axis γ, and airflow velocity V. A multi-criteria optimisation method was applied to find the optimal operating modes: δ = 10.8 mm; n = 282 rpm; V = 3.6 m/s; D_in = 98 mm; γ = 3.6°; β = 20.3°. The following results were achieved: E = 0.0394 MJ/kg; Q = 163.4 kg/h; P = 1 861 W; ξ_f = 0.099; ψ_s-s = 0.958. The obtained results confirm the efficiency of the proposed design for industrial implementation.

Natural plants are abundant in their native habitats and are traditionally used to treat a variety of health conditions. The Rosa genus stands out as an important species rich in bioactive compounds. This study, conducted in Türkiye, aimed to analyse the antioxidant and phenolic profiles of methanolic extracts obtained from different parts of Rosa canina (R.c.) and Rosa pimpinelifolia (R.p.) collected in 2021 and 2022. The antioxidant activity values of R.c. collected in 2021 and 2022 were found to be between 5 102.31–46 396.36 mmol Fe(II)/100 g in ferric reducing antioxidant power (FRAP), 141.92–377.54 mg ascorbic acid equivalents (AA)/kg in total antioxidant capacity (TAC), 2.18–24.68 µg/g in 2,2-diphenyl-1-picrylhydrazyl [DPPH (EC₅₀)] and 34.31–75.77 % in DPPH (% inhibition). Antioxidant activity of R.p. collected in 2021 and 2022 ranged from 17 258.44–71 903.20 mmol Fe(II)/100 g, 271.69–479.19 mg AA/kg, 1.02–8.32 µg/g and 50.98–85.57% for FRAP, TAC, DPPH (EC₅₀) and DPPH (% inhibition), respectively. The R.p. extracts generally exhibited higher antioxidant activity than those of R.c. Considering the total identified phenolic compounds achieved from different plant parts of rosehip for both years, the highest values of total phenolic compounds were determined in R.c. leaves (222.08 mg/100 g) in 2021, and R.p. leaves (5 465.95 mg/100 g) in 2021.

The black locust (Robinia pseudoacacia L.) is the second most planted tree species worldwide, and the most common in Hungary. Phenotypic traits, particularly flowering patterns, are well-established indicators of the species' response to climate change. This study examined four forest subcompartments across three Hungarian regions: Northern-Central, Eastern and Southern-Central. The aim was to identify climatic factors correlating with the onset and duration of the flowering period. Additionally, the relationships between these factors and nectar weight and sugar concentration were defined. Results indicate a strong negative correlation between precipitation levels and flowering time: lower accumulated and average precipitation during the spring months of the preceding year was associated with a delayed flowering period in the following year (r = –0.922, r = –0.918, P = 0.05). However, when examining the 14-day period (r = 0.829) before blooming or examining from 1 January (r = 0.929, r = 0.890), the results indicate that other environmental factors may play a more dominant role. Furthermore, the number of chill and heat days was found to affect the starting date (R² = 0.819, R² = 0.765).

Near-Infrared (NIR) spectrometry has emerged as a promising tool for the non-destructive and rapid analysis of temperate fruit quality, maturity, and other parameters. The technique provides a wealth of information, including details of chemical composition, without damaging the fruit, making it a highly viable alternative to traditional methods. This paper reviews the recent research and applications of NIR spectrometry for fruit evaluation, highlighting its strengths and potential limitations. The analysis shows a significant potential for NIR spectrometry, especially when combined with machine learning and artificial intelligence to handle complex data and improve predictive models. The development of portable NIR spectrometers allows for in-situ quality assessment, expanding its applicability to various fields including on-site quality control. Despite the benefits, this review identifies key challenges including spectral complexity, fruit variability, and the influence of the external environment. Recommendations for future research include focusing on improving calibration and validation of models, increasing predictive accuracy, and developing user-friendly instruments. In addition, standardization of measurement procedures and analytical methods is needed to ensure comparability and reproducibility of results. Further research is needed to fully realize the full potential of NIR spectrometry in fruit quality control.

The impact of exogenously applied glycine betaine (GB; 0, 5, 10, 20 and 50 mmol) was evaluated in preventing Vigna radiata from the adverse effects of salt (100 mmol NaCl) stress. Salinity reduced growth parameters, such as plant height and fresh and dry weight of plants, while GB application significantly alleviated the decline. Salinity stress led to a decline in total chlorophylls and carotenoids, as well as a reduction in the net photosynthetic rate and gas exchange attributes, including stomatal conductance, transpiration rate, and intercellular CO₂. However, GB supplementation significantly alleviated this decline. Salinity stress increased the accumulation of hydrogen peroxide, superoxide and methylglyoxal, while as applied GB reduced their accumulation, causing a significant decline in the lipid peroxidation. Application of GB, at all concentrations, increased the activity of the antioxidant enzymes under normal and salinity stress treatments with 10 and 20 mmol concentrations, imparting the highest increase. Increase in the radical scavenging activity due to GB application was also supported by increased total antioxidant activity assays measured as percent DPPH and ABTS radical scavenging. In addition, GB-supplemented plants exhibited an apparent increase in the activities of glyoxalase I and glyoxalase II enzymes. Accumulation of osmotic compounds like proline, sugars and GB increased significantly due to GB application and showed a further increase in salt-stressed plants. More importantly, the GB-treated plants exhibited a considerable decline in sodium accumulation, causing a decline Na/K in them. Glycine betaine was effective in mitigating the deleterious effects of salinity.

β-Hydroxy-β-methylbutyrate (HMB) is a metabolite of the essential amino acid leucine, which can be produced naturally in mammals and is also found in trace amounts in citrus fruits and fish. Studies have shown that HMB plays an important role in maintaining human health by improving muscle health and inhibiting muscle catabolism. This review summarises the synthesis and metabolism of HMB and discusses its potential use as a nutrient, highlighting and analysing the importance of HMB supplementation for athletes' physical recovery and the treatment of muscular dystrophy-related diseases between 2019 and 2025. This study will help us to deepen our understanding of the application of HMB as a dietary supplement for the treatment of different diseases, providing the latest insights into its sustainability.

This study investigates the reciprocal relationship between non-farm employment and mechanisation adoption of smallholders in Vietnam using the longitudinal Vietnam Access to Resources Household Survey (VARHS) 2008–2016 dataset. By employing the correlated random effects with the Mundlak approach to address the selection bias from the unobserved heterogeneity of panel data and the instrumental variables regressions to treat the endogeneity issue of non-farm participation and mechanisation adoption, the findings revealed that non-farm employment and mechanisation adoption have a positive interactive relationship. The mechanisation adoption in agricultural production could save farm labour and allow farmers to engage in non-farm activities. Conversely, non-farm earnings could relax financial constraints and provide opportunities for farmers to invest in mechanisation. The agricultural labour shifting to non-farm work was replaced by hiring machinery services rather than machinery investment when the service market was available and cost-effective. Our study implies practical policies and actionable plans to encourage nonfarm employment and facilitate agricultural mechanisation toward sustainable agriculture and inclusive development in rural communities.

Studies on the sustainability assessment of supply chain performance in tropical fruit still have limitations, whereas similar studies are more widespread in the manufacturing sector. This study aims to assess the sustainability performance of the tropical fruit supply chain in Indonesia. Performance evaluations were conducted for three producer organisations of tropical fruit with members ranging from 70 to 200 people in Banyuwangi Regency, the largest production centre in Indonesia. This study proposes a new approach, the best-worst method (BWM), to prioritise supply chain performance criteria derived from the SCOR (Supply Chain Operations Reference) model based on assessments by experts managing producer organisations. In the SCOR model, environmental and social criteria are added, resulting in seven criteria for evaluating supply chain performance, which include reliability, responsiveness, agility, cost, asset management, GreenSCOR, and social. Thus, the integration of BWM and SCOR can ensure higher consistency and reliability than traditional methods for assessing sustainable supply chain performance. The results revealed that reliability is the most important criterion for supply chain performance, which shows how important the maintenance of product quality is. In contrast, agility received the lowest score, indicating that there is a need to improve performance with respect to responding to high demand, managing safety stocks, and overtime in the shipping process. Moreover, this study gives a glimpse into the importance of evaluating sustainability performance for the tropical fruit sector, having perishable characteristics and great contributions to rural development. Hence, this study provides a solid practical guide for decision-makers in assessing the sustainable supply chain of tropical fruits in Indonesia.

This study aimed to evaluate the effects of dietary administration of peppermint (Mentha piperita) alone and in combination with southernwood (Artemisia abrotanum) on performance, body and carcass composition, physicochemical characteristics, and amino acid composition of breast meat in broilers under Eimeria challenge. A total of 160 14-day-old male broilers (Ross 308) were randomly assigned to four dietary groups: the control (C) group was fed a basal diet; the CC group received a grower diet containing the coccidiostat robenidine; the M group was fed the diets with the addition of 20 g peppermint/kg of diet; the MS group was fed the diets with the addition of 10 g peppermint + 10 g of southernwood/kg of diet. The addition of peppermint to the diet increased final live weight compared to the CC group (P < 0.05). The highest value of dressing percentage was found in the M group as compared to the CC group (P < 0.01) and C group (P < 0.05). Compared with the C group, a higher intramuscular fat content was found in the breast meat of broilers in both the M and MS groups (P < 0.01; P < 0.05, resp.). Concerning the colour of meat, lower values for yellowness b* and chroma C* characteristics were observed in the C group compared to the MS group (P < 0.05) and mainly to the M group (P < 0.01). In spite of the lower crude protein content (P < 0.05) in the meat of the MS group, the highest content of all essential amino acids (P < 0.05) as well as the total content of all assessed amino acids (P < 0.01) were found in the meat of the MS group, resulting in a considerable increase in the nutritional value of the breast meat proteins of these broilers.

This study examines height growth and its driving factors in stools and standard trees, the two key structural components of coppice-with-standards stands. We focused on sessile oak [Quercus petraea agg. (Matt.) Liebl.] stands over 90 years old at two contrasting sites near Brno (South Moravian Region, Czech Republic): one actively managed and one left unmanaged for more than 40 years as a strict nature reserve. Tree heights were analysed using two-factor analysis of variance (ANOVA) with post hoc tests and multinomial logistic regression. A total of 1 239 trees were measured (584 stools and 655 standards). Standard trees were the tallest on average (21.8 m), significantly exceeding all the stool categories, whereas managed triple-stem stools were the shortest (15.97 m). Across all categories, unmanaged stands generally reached greater heights than managed stands did, except for standard trees. The forest type, exposure and slope had significant effects on height class probabilities, whereas elevation was important only for smaller trees. Overall, the results demonstrate that both the tree type and site conditions strongly influence height growth in Q. petraea coppice-with-standards stands, with management history leaving a clear biological legacy in the present-day stand structure.

Extensive research studies worldwide have discussed and analysed the effect of processing conditions on the nutritional aspects of Western types of bread; however, the literature on Arabic bread processing is very limited. This study aims to determine the effect of baking temperature and time on the retention of B vitamins in a pocket-forming Arabic flatbread model system. High-crumb flat Arabic bread (Thick Kmaj) was prepared by the straight dough method from three types of flour (patent, straight grade, and whole wheat) fortified with B vitamins. Doughs were fermented and proofed for 0, 30, 60, and 90 min and baked at five temperatures (250, 300, 350, 400, and 450 °C) for three different baking times (1, 2, and 3 min). Baking at lower temperatures (i.e. < 300 °C) resulted in higher B-complex vitamin retention values (more than 90%). Vitamin B6 showed exceptional retention values (about 100%), though these decreased by increasing the baking temperature. Vitamin retention levels in the produced Arabic bread samples are similar to those found in pan and other high-crumb bread types when baked at lower temperatures. Results are expected to positively impact the output and economics of the flour fortification process, as it can be helpful material for upcoming micronutrient survey studies to assess fortification process outcomes.

The aim of this study was to identify and quantify the relationships between the nutrient content and the DM (dry matter) content of various maize hybrids (Zea mays L.) in the dynamics of vegetative maturity and various soil-climatic growing conditions. Over the course of 7 growing seasons (years), a set of 1 972 samples of whole silage maize plants consisting of 206 different hybrids grown in two contrasting regions (lowland and foothill areas) was analysed. The focus was on DM content and the content of key energy nutrients (WSC – water soluble carbohydrates, starch, NDF – neutral detergent fibre) and their interactions. Results show that the transformation of WSC into starch has four key points: (i) it begins at a DM content of 150 g/kg; (ii) it peaks at a DM content of approximately 235 g/kg; (iii) it begins to decrease significantly from a DM content of 300 g/kg; and (iv) it practically stops rapidly after exceeding a DM content of 350 g/kg. In the dynamics of vegetative development of maize plants, the DM content is very closely related to the WSC content (R² = 0.728) and the starch content (R² = 0.873). With the gradual increase in vegetative maturity and DM content in maize plants, the transformation of WSC into starch dynamically increases. These characteristics, with small deviations, were also confirmed at different levels of evaluation (all analyses, regions, seasons and individual hybrids). These results show that a DM content of 300 g/kg to 350 g/kg can be considered the optimal harvesting window for maize ensiling and the optimal phase of silage maturity for whole maize plants, because once the DM content exceeds 350 g/kg; the transformation of WSC into starch stops and the drying phase of plants begins.

A rapid evaporative ionization mass spectrometry (REIMS) method combined with intelligent knife (iKnife) method was developed to explore the geographical origin and characteristic differential components of Qianbei Ma lamb. The REIMS conditions were initially refined, with the cauterization duration of 3 seconds, and the auxiliary solvent flow rate set to 100 μL·min^–1 to prevent duplication. A database model was created from raw data through the proposed principal component analysis-linear discriminate analysis (PCA-LDA) in Live ID software, successfully applied to identify samples from 5 provinces in China and the real-time reliable identification rate with confidence higher than 99%. The obtained data by REIMS were used to establish the multivariate statistical models which using orthogonal projection to latent structures discriminant analysis (OPLS-DA), provided strong the discrimination power between composition and content changes of 16 specific ions such as m/z 726.3952 and m/z 744.4050, etc., including fatty alcohols, fatty acids and phosphatidylserines in mutton of different origin and the model displayed validation [R²(Y) = 0.968, Q² = 0.924].

Conventional irrigation practices result in a substantial amount of water loss with okra cultivation. Although micro-irrigation can address this issue by delivering water directly near the rootzone, it requires manual operation. These issues, however, can be resolved with the introduction of a smart micro-irrigation system. This study aims to develop a smart micro-irrigation system for okra, in conjunction with the sub-components of drip irrigation, a microcontroller, and a soil sensor. The experiment was laid out with a randomised complete block design (RCBD) having three treatments: (i) control irrigation (T₁), (ii) drip irrigation (T₂), and (iii) smart micro-irrigation (T₃). The experimental field was irrigated based on soil moisture regimes in the crop rootzone. The plant growth, yield, and water use efficiency were assessed to evaluate the system. The results showed no significant differences among these treatments (at P < 0.05). The best water usage efficiency (15.98 kg·m^–3) was observed in the T₃ treatment, which also provided about 13.10% water savings compared to the conventional irrigation. This study indicates that a smart micro-irrigation system could be a promising technology for water-efficient okra cultivation.

Air pollution is beyond an environmental or health issue. The impact of air pollution on farmers' decisions on agricultural mechanisation has always been overlooked and debate persists over subjective and objective pollution. Adopting data set from the China Labour Force Dynamics Survey, we investigate the influence of air pollution perceptions on farmers' mechanised farming. The endogeneity problem is addressed through the instrumental variable method. The consequences reveal that air pollution perceptions strengthen farm mechanisation, and reduced farming time is the key intrinsic mechanism through which perceived air pollution affects farmers' decisions on agricultural machinery. Additionally, this impact is more pronounced in male household heads and farmers in the plains. These findings render valuable policy implications for farmers chronically exposed to air pollution and for agricultural modernisation in China, including the necessity of improving air conditions and encouraging agricultural machinery services.

Agriculture's stable development is vital to the national economy, and its vulnerability justifies fiscal support. On the basis of data from the China Family Panel Studies from 2012 to 2022, this study examines how fiscal allocation affects agricultural production, particularly rural households' grain-growing enthusiasm and their productive income. Results show that public expenditure significantly boosts agricultural production, supported by ordered probit and ordinary least squares fixed effect models and confirmed in robustness tests. Mechanistic tests indicate that agricultural public expenditure promotes agricultural production by improving agricultural technical levels, enhancing production services, and expanding the agricultural scale. Heterogeneity analysis shows that agricultural public expenditure has a stronger effect on grain-growing enthusiasm among low-educated rural households and on productive income in major grain production areas. It also has a stronger effect on productive income for rural households with emerging and prime-aged farmers, in nonmajor grain production areas, and those with high educational attainment. The research offers empirical insights for exploring ways to achieve the 'dual goals' of food security and poverty alleviation.

Ascochyta blight, caused by a complex of pathogenic fungi including Didymella pinodes, Ascochyta pisi, and Phoma pinodella, is a major disease of field pea (Pisum sativum), causing severe losses through lesions on leaves, stems, and pods. Mutation breeding using gamma irradiation is a non-GMO strategy to induce genetic variation and accelerate the development of improved genotypes. In this study, the M₂ generation of the forage pea cultivar Dodoni (Pisum sativum L. var. arvense), derived from M₀ seeds irradiated with 100 Gy, was evaluated for tolerance to D. pinodes (CBS 251.47) using a detached-leaf assay under controlled greenhouse conditions. Disease progression was quantified via image-based analysis on the 3^rd and 5^th days post-infection, calculating diseased area and disease severity index. Extensive phenotypic evaluation was also conducted on 16 families in the greenhouse and 100 families under field conditions, using an augmented incomplete block design. Screening revealed several M₂ families with significantly improved tolerance compared to non-irradiated controls. Among these, some individuals combined enhanced resistance with improved yield-related traits, such as higher pod number and biomass, while others exhibited reduced agronomic performance. These findings highlight the phenotypic diversity induced by gamma irradiation and demonstrate the potential to generate dual-purpose pea genotypes with both disease resistance and enhanced productivity, providing valuable material for future breeding of resilient cultivars.

The circular economy (CE) has proven to be an effective solution for sustainable development in the last two decades, especially in the context of multiple crises. As a long-term strategy, business managers are seeking a sustainable business model that harmoniously and efficiently integrates prosperity, social security, and resource conservation. This research highlights the essential role of components such as green logistics (GL) and green human capital (GHC) in sustainable production (SP), which is necessary for the successful implementation of CE. The study, based on data collected from 117 companies in the Romanian food industry, uses partial structural equation modelling to explore the causal relationships between these variables. The results show that both green logistics and green human capital are important factors for circular economy, and sustainable production significantly mediates the relationships between green human capital, and circular economy, but not significantly for green logistics. Thus, it is concluded that sustainable production has a determining positive effect on circular economy. Although the research is limited by the geographical and sectoral context, it contributes theoretically and practically by analysing the relationships between these concepts and the relevant managerial implications.

This study investigated the response of sago palms to saline conditions, focusing on their morphological and photosynthetic performance. The photosynthetic traits were evaluated using OJIP chlorophyll fluorescence transient. The plants were exposed to a saline condition of 224 mM NaCl, and their ability to form associations with arbuscular mycorrhizal fungi (AMF) was also assessed. We tested both commercial AMF products, containing spores from multiple genera, and isolated AMF spores from Glomus etunicatum and Glomus grape, to determine their ability to infect sago palm roots under high salt conditions. The results showed that sago palms can maintain efficient photosynthesis even at high salt levels. This is likely due to their ability to prevent excessive salt uptake in shoots and water loss from roots by forming lignin deposits in cell tissues. Furthermore, the study found that sago palm roots can form associations with AMF under saline conditions. These findings indicate that sago palms exhibit tolerance to saline environments, making them a promising crop option for areas with low soil quality where other carbohydrate-producing crops cannot tolerate the conditions.

This research focuses on the effects of large-scale clearcuts resulting from salvage logging after spruce (Picea abies) forest dieback caused by an extreme bark beetle infestation, and on the effect of logging residues management (chopping vs. clearing) on the distribution of potentially toxic elements (PTEs) in soil. Pseudo-total contents of Cd, Cr, Cu, Ni, Pb and Zn were determined in soil samples collected separately from the organic (F+H) and mineral (0–10, 10–20, and 20–30 cm depths) soil layers. The distribution of elements was influenced mainly by sampling locality and position in the soil profile. In general, the contents of Cd, Ni and Cr were higher in the mineral layers, whereas Pb was more concentrated in the FH layer. A significant effect of logging residues management on the distribution of PTEs was observed only for Pb and Zn. We expect that the relative decrease of Pb and increase of Zn contents in the “chopped” treatment was mostly due to the higher input of mineral soil and wood residues to the FH layer. Since the stand was harvested relatively recently, the effects of soil preparation have probably outweighed those of spreading or removing logging residues.

Agricultural informatisation (AgI) is hailed as a 'game-changer' for farmers worldwide, even as climate change increases agriculture's vulnerability to climatic risks and threatens sustainable agrifood production. While AgI aspires to help alleviate hunger and poverty in smallholder farm households by improving on-farm productivity through the promotion of sustainable agricultural practices (SAPs), limited empirical evidence exists on the AgI–SAPs nexus, particularly under severe environmental stress such as drought. We analysed data from a survey of maize farmers in central Zambia – a country exemplifying the impact of severe drought, declared a national emergency and disaster – to explore whether and how AgI can optimise SAP adoption and improve crop yields. Given the potential endogeneity of AgI adoption, we employed a recursive bivariate probit (RBP) and endogenous-treatment regression (ETR) to estimate the former and the latter, respectively. We focused on adoption portfolios of three AgI tools – radio, television and mobile phones – and five SAPs: minimum tillage, residue retention, planting basins, improved seed varieties and irrigation. The results reveal that AgI adoption significantly influences SAP adoption, with varying impacts across different AgI and SAP portfolios. Importantly, the adoption of productivity-enhancing SAPs, particularly improved seed and drip irrigation, produced the largest yield effects (124.46 g/capita/day) for AgI adopters. This increase potentially contributes 43.21% towards daily maize-supply quantity, which is crucial for helping households meet the minimum recommended daily caloric intake. The study therefore underscores that AgI plays a critical role in improving yields through SAP adoption, serving as a compelling pathway for agricultural resilience, especially under adverse climatic conditions. These insights align with the United Nations Sustainable Development Goals (SDGs), particularly those aimed at zero hunger, climate action and poverty alleviation, which advocate re-thinking and transforming food-production strategies.

Rice paddy fields serve as an important source of stable food supply and a notable contributor to atmospheric methane (CH₄) and nitrous oxide (N₂O). Rice cultivar selection acts as a pivotal factor in regulating greenhouse gas (GHGs) of CH₄ and N₂O emissions from rice paddy fields. However, little is known about how different types of rice cultivars affect CH₄ and N₂O emissions. In the study, three types of rice cultivars, including Japonica-type Indica-Japonica hybrid rice (JHR: ZJY1578 and JHY5), Indica-type hybrid rice (IHR: ZZY8 and JFY2), and inbred rice (IR: J67 and XS121), were selected to evaluate differences in mitigating GHGs. Results showed that the total CH₄ and N₂O emissions of two Japonica-type Indica-Japonica hybrid rice cultivars were 49.81–60.01 kg/ha and 0.67–0.83 g/ha, respectively, which were lower than those of the other two rice cultivar types. The total equivalent of carbon dioxide emissions of CH₄ and N₂O (TCO₂-eq) of two Japonica hybrid rice significantly reduced by 16.7–46.9%, compared with the other two types of rice cultivars (IHR and IR). CH₄ contributed 85.5–89.9% to the GWP, while 65.6–80.4% in the field of planting inbred rice. The reduction in GHGs emissions is mainly attributed to yield, available carbon and nitrogen contents, root morphological characteristics, and functional genes. Consequently, GHGs emissions in paddy fields could be mitigated by selecting or breeding cultivars with high yield, lower root exudates, and greater root porosity.