Publikationsfonds der Universität Hohenheim

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Adapting wheat production to global warming in West Asia: facultative wheat outperforms winter and spring wheat at conventional nitrogen levels
(2025) Yousefi, Afsaneh; Koocheki, Alireza; Mahallati, Mehdi Nassiri; Khorramdel, Soroor; Trenz, Jonas; Malakshahi Kurdestani, Ali; Ludewig, Uwe; Maywald, Niels Julian; Yousefi, Afsaneh; Department of Nutritional Crop Physiology, University of Hohenheim, Stuttgart, Germany; Koocheki, Alireza; Department of Agrotechnology, Ferdowsi University of Mashhad, Mashhad, Iran; Mahallati, Mehdi Nassiri; Department of Agrotechnology, Ferdowsi University of Mashhad, Mashhad, Iran; Khorramdel, Soroor; Department of Agrotechnology, Ferdowsi University of Mashhad, Mashhad, Iran; Trenz, Jonas; Department of Agronomy, University of Hohenheim, Stuttgart, Germany; Malakshahi Kurdestani, Ali; Department of Fertilization and Soil Matter Dynamics, University of Hohenheim, Stuttgart, Germany; Ludewig, Uwe; Department of Nutritional Crop Physiology, University of Hohenheim, Stuttgart, Germany; Maywald, Niels Julian; Department of Nutritional Crop Physiology, University of Hohenheim, Stuttgart, Germany
Global warming and weather anomalies pose significant threats to cereal production in West Asia. Winter wheat, which requires vernalization to trigger reproductive growth, is particularly vulnerable to heat, while spring wheat faces limitations due to short and hot vegetation periods. Facultative wheat, which does not require vernalization and can be planted in either fall or spring, offers potential flexibility and resilience to fluctuating temperatures. This study aimed to evaluate the development and grain yield of facultative, spring, and winter wheat varieties under different nitrogen fertilization rates in current climate conditions. Facultative wheat, grown as either facultative winter (FWW) or facultative spring (FSW), along with winter (WW) and spring wheat (SW) varieties, was cultivated over two consecutive seasons (2020–2022) at Ferdowsi University of Mashhad, Iran. Developmental stages were monitored, and grain yield, protein, and nutrient concentrations were measured at four nitrogen levels (0, 100, 200, and 300 kg N ha −1 ) in both shoots and grains. Crop modeling under the RCP 8.5 climate scenario supported the experiments and projections. Facultative wheat sown in autumn exhibited a shorter tillering stage and a longer early reproductive stage compared to winter wheat. While nitrogen fertilization delayed development, it significantly increased yield. Facultative wheat achieved higher grain yields at conventional nitrogen levels (100–200 kg N ha −1 ). Additionally, increasing nitrogen fertilization improved grain protein and nutrient concentrations (N, P, and K). Crop modeling indicated that facultative varieties sown in winter could offer greater yield stability and might benefit from a more consistent phenological development. Overall, facultative wheat performed better at conventional nitrogen levels, highlighting its potential in a changing climate in West Asia. Optimizing sowing dates and nitrogen fertilization could help mitigate some of the negative effects of rising temperatures, enhancing wheat resilience and productivity.
The adoption potential of extended lactation as a strategy to reduce excess calf numbers in dairy farming
(2024) Gresham, Josephine; Reiber, Christoph; Chagunda, Mizeck G. G.
Dairy production relies predominantly on a few, selectively bred, high-yielding dairy breeds, resulting in a surplus of low-value male offspring. This situation leads to a conflict between a growing demand for milk and low appreciation for dairy calves. Extending lactation could reduce the number of calves born. This study aimed to assess the current use of extended lactation in dairy production in Southern Germany, identify the perceived potential, and determine the biological potential extended lactation has to reduce calf numbers. A survey from 2020 with 310 farmers was analysed. A total of 145 (46.8%) farmers used extended lactation. The use of extended lactation on farms correlated significantly with breed, milk yield, interest in continuing or implementing the use of extended lactation, and the indicated feasibility of extended lactation. The perceived potential was assessed by 39.8% of farmers as “high” to “very high”. A total of 17 (12.8%) farmers currently not using extended lactation were identified as potential adopters. Together with existing adopters, this could result in 52.3% of farms using extended lactation, which could biologically reduce calf numbers by 7.3% or 14.1% p.a., when extended by three or six months, respectively. This adoption potential shows that extended lactation can reduce calf numbers considerably, addressing both ethical and economic concerns in dairy farming and benefiting farmers as well as society.
Classifying early-stage soybean fungal diseases on hyperspectral images using convolutional neural networks
(2025) Hsiao, Chieh Fu; Feyrer, Georg; Stein, Anthony
Using convolutional neural networks (CNNs) to detect plant diseases has proven to reach high accuracy in the classification of infected and non-infected plant images. However, most of the existing researches are based on RGB images due to the availability and the comparably low cost of image collection. The limited spectral information restricts the detectability of plant diseases, especially in the early stage where often symptoms of pathogen infection have not yet become visible. To this end, in this study, hyperspectral imaging (HSI) data are combined with deep learning models to test the classification ability of two soybean fungal diseases: Asian soybean rust (Phakopsora pachyhizi) and soybean stem rust (Sclerotinia scleroriorum). Different CNNs employing 2D, 3D convolution, and hybrid approaches are compared. The influences of the depth of the convolutional layer and the regularization techniques are also discussed. Besides, image augmentation methods are investigated to overcome the problem of data scarcity. The results indicate the 6-convolutional-layer depth hybrid model to have the best capacity in classifying Asian soybean rust in the early-mid to mid-late stage when there are over 2 % visible symptoms but a limited detectability in the early stages when there are below 2 % visible symptoms on leaves. On the other hand, the optimized CNN model shows a limited capability to detect both diseases when there are no visible symptoms observable. Overall, this study suggests a hybrid 2D-3D convolutional model with augmentation and regularization methods has a high potential in the early detection of fungal diseases. This research is expected to contribute to a new cropping system that vastly reduces the chemical-synthesis plant protection products, where a continuous pathogen disease monitoring plays a key to manage the crop stands.
A concept of a decentral server infrastructure to connect farms, secure data, and increase the resilience of digital farming
(2025) Bökle, Sebastian; Gscheidle, Michael; Weis, Martin; Paraforos, Dimitrios S.; Griepentrog, Hans W.
With the intensified use and integration of digital technologies in agriculture, dependencies and constraints occurred which weakened the adoption and reduced effectiveness of innovative technology due to lacking interoperability and resilience. As awareness of these problems increased concepts have been developed to meet this issue with decentralized IT- infrastructures. With the proposed concept the authors aim to refine these existing infrastructures with concrete suggestions for server infrastructures. Off-the-shelf hardware and open-source software, enable cheap access to digital technologies yet provide sufficient support by choosing open-source tools with big or active communities. With the involvement of the machinery rings the economic advantages scale up because of the interfarm use of expensive technology. The farmservers on the farmside are the edge nodes of a regional network. The local machinery ring is the next node which is supposed to offer remote services for the farmers, who have a trustful partner in the machinery rings. The concept orients on revised requirements enriched by the results of a survey, conducted by the authors, adding the focus on interfarm cooperations. The concept meets the main constraints farmers face in digitalization: Data sovereignty, resilience, interoperability, high costs, and trust.
Developing marginal‐land‐based bioeconomy systems — A design and development approach for bio‐based value chains and webs
(2025) Schlecht, Valentin; Vargas‐Carpintero, Ricardo; von Cossel, Moritz; Lewandowski, Iris; Schlecht, Valentin; Biobased Resources in the Bioeconomy, University of Hohenheim, Stuttgart, Germany; Vargas‐Carpintero, Ricardo; Biobased Resources in the Bioeconomy, University of Hohenheim, Stuttgart, Germany; von Cossel, Moritz; Biobased Resources in the Bioeconomy, University of Hohenheim, Stuttgart, Germany; Lewandowski, Iris; Biobased Resources in the Bioeconomy, University of Hohenheim, Stuttgart, Germany
Industrial crops grown on marginal lands offer a potential source of low-iLUC feedstock for bio-based industries, supporting sustainable bioeconomic development. However, marginal-land-based bioeconomy systems face significant uncertainties at early stages, such as limited data, farmers' hesitancy to adopt novel crops, undeveloped markets and immature technologies. This study implements an integrated multi-criteria framework as a structured, multi-step approach to connect bio-based value chain components and stakeholders in marginal-land-based bioeconomy systems at the research level. The framework was applied within the EU Horizon project MIDAS to identify, evaluate and combine bio-based value chain components, with a case study in the Swabian Alb (southern Germany) demonstrating its potential for designing scalable bio-based value chains tailored to regional conditions. Key findings emphasise the importance of stakeholder collaboration, iterative design processes and context-specific criteria that address technical, economic, social and regulatory aspects. The approach, based on qualitative data and stakeholder input, offers critical insights into the feasibility of biomass-to-product pathways and serves as a foundation for advanced research. Future research needs to focus on expanding data availability, incorporating quantitative methods, and addressing economic and market factors, such as stakeholder willingness to produce feedstocks, to enhance the scalability and robustness of the findings and facilitate the establishment of sustainable bioeconomy systems on marginal lands.
Development and testing of a precision hoeing system for re-compacted ridge tillage in maize
(2024) Alagbo, Oyebanji O.; Saile, Marcus; Spaeth, Michael; Schumacher, Matthias; Gerhards, Roland
Ridge tillage (RT) is a conservation practice that provides several benefits such as enhanced root growth and reduced soil erosion. The objectives of this study were to develop an autosteered living mulch seeder and hoeing prototype for RT systems using RTK-GNSS (real-time kinematic global navigation satellite systems) created ridges as a guide. It was also aimed to compare weed control efficacy and crop response of ridge-hoeing compared to conventional hoeing in flat tillage (FT). It was further aimed to investigate the impact of a new RT technology (with ridge re-compaction) on maize root development, yield, soil temperature, and moisture compared to FT. Field experiments were conducted with maize in 2021 and 2022 in a two-factorial split-plot design with tillage (RT and FT) as main treatment and weed control (untreated, herbicide, twice hoeing, hoeing + living mulch) as sub-treatment factors. Weed density, coverage, biomass, crop density, weed control efficacy (WCE) and maize silage yield were assessed. Temperature loggers were installed within RT and FT to take temperature readings at 20 min. Soil moisture and root penetrability were measured every two weeks in each plot using soil samples and a penetrometer. The WCE and yield did not differ significantly between the tillage systems. Twice hoeing resulted in 71–80 % WCE, which was equal to herbicide treatment. Hoeing + living mulch achieved 70–72 % WCE. Different from previous studies with ridge tillage, temperatures in the compacted ridges did not consistently differ from the ridge valleys and flat seedbeds. Root penetration (against 1.4 MPa penetrometer cone index) was 40 % higher in RT than in FT. On average, RT maize produced more (53.6 g m−2) root biomass compared to FT. In summary, re-compacted ridges built along RTK-GNSS lines can allow post-emergent hoeing and living mulch seeding along ridges and also provide good growing conditions for maize.
Do regional-specific differences influence smallholder farmers’ climate information use? Evidence from Ghana
(2025) Owusu, Victor; Asravor, Jacob
Mounting evidence underscores the importance of improving smallholder farmers’ use of reliable climate information (CI) in sub-Saharan Africa (SSA). Previous studies have not examined the differences in region-specific climate information use, as well as predictors of the source, type and timing of climate information use. In this study, we provide empirical evidence on how location-specific differences influence the source, type and timing of CI use. Integrating cross-sectional data from 503 households in the Upper West Region (UWR) and Brong-Ahafo Region (BAR) of Ghana into a multivariate probit model, our results indicate that farm households in the two regions exhibit different preferences regarding the source, type and timing of CI use. We find that while households in the BAR are more interested in CI ahead of the season – given that rainfall is relatively secure in that region, CI use ahead of the season is of less interest to those in the UWR where rainfall is more erratic. Our results further show that while CI source, type and timing are considerably influenced by education, distance to the farm, access to credit and extension in the UWR, gender, farm size, education and tractor access tend to drive the source, type and timing of CI use in BAR. These findings underscore the need for a more downscaled and context-specific strategy in disseminating CI services in the various regions of SSA. Practical implications: Notwithstanding evidence that the adverse impacts of the changing climate on smallholder livelihoods continue to vary within and across communities, districts, regions and agro-ecological zones (Abbam et al., 2018) in sub-Saharan Africa, little is known about how location-specific distinctions in climate change impact, infrastructural endowments as well as socioeconomic and plot-level attributes of smallholder farmers influence farm households’ use of climate information (CI). Given that these location-specific distinctions can considerably influence the generation and dissemination of CI, and its subsequent uptake by farm households in various regions, the empirical findings from this study are relevant for policy formulation towards boosting the use of CI. Evidence from this study strongly suggests that the diverse locations of smallholder farmers tend to significantly influence the source, type and period of CI use; for example, farm households in the Brong-Ahafo Region, a relatively more infrastructurally developed region, have better prospects of accessing different types of CI from diverse sources. We further find that the period of the cropping season in which CI is used is considerably influenced by the location of the farmers; and we identify disparities in the plot-level, institutional and socioeconomic characteristics of rural households in these two study regions that significantly influence the types, sources and times of CI used by farm households. Consequently, there is a need to take into account the unique regional, agro-ecological, plot-level, institutional and socioeconomic attributes of farm households. Policy recommendations on CI use should be tailored to the needs of these specific locations rather than being wholesale. Investment in rural infrastructure may trigger economic opportunities in deprived regions such as the Upper West Region. This may motivate rural households in such regions to invest in different CI types and sources for enhanced uptake of climate information.
Effects of feeding diets without mineral P supplement on intestinal phytate degradation, blood concentrations of Ca and P, and excretion of Ca and P in two laying hen strains before and after onset of laying activity
(2024) Sommerfeld, Vera; Bennewitz, Jörn; Camarinha-Silva, Amélia; Feger, Martina; Föller, Michael; Huber, Korinna; Oster, Michael; Ponsuksili, Siriluck; Schmucker, Sonja; Seifert, Jana; Stefanski, Volker; Wimmers, Klaus; Rodehutscord, Markus
The objective of this study was to characterize intestinal phytate degradation and mineral utilization by 2 laying hen strains before and after the onset of egg laying using diets without or with a mineral phosphorus (P) supplement. One offspring of 10 roosters per strain (Lohmann Brown-classic [LB] and Lohmann LSL-classic [LSL]) was sacrificed before (wk 19) and after (wk 24) the onset of egg-laying activity and following 4 wk placement in a metabolic unit. Diets were corn-soybean meal-based and without supplemented P (P-) or with 1 g/kg supplemented P (P+) from monocalcium phosphate. In wk 19 and 24, the blood plasma and digesta of duodenum+jejunum and distal ileum were collected. The concentration of P in blood plasma was higher in hens fed P+ than P- (P < 0.001). In duodenum + jejunum and ileum content, the concentrations of InsP6, Ins(1,2,4,5,6)P5 and Ins(1,2,3,4,5)P5 were lower in P- than in P+ (P ≤ 0.009). In duodenum+jejunum, the concentrations of InsP6, Ins(1,2,4,5,6)P5 and Ins(1,2,3,4,5)P5 were lower in wk 24 than 19 and lower in LSL than LB hens (P < 0.001). The concentration of myo-inositol (MI) in duodenum + jejunum content was lower in wk 19 than 24 (P < 0.001). Following a 4-d total excreta collection, the retained amount of P was higher in P+ than P- (P < 0.001). Phosphorus retention was lower in LB hens fed P- than in other treatments (P × strain: P = 0.039). In the jejunal tissue, some genes related to intracellular InsP metabolism were higher expressed in LB than LSL hens. The renunciation of mineral P increased endogenous phytate degradation, but more P was retained with supplemented P. Differences in endogenous phytate degradation between the periods before and after the onset of egg laying might be attributed to different Ca concentrations in intestinal digesta caused by different Ca needs in both periods.
Effects of myo-inositol supplementation in the diet on myo-inositol concentrations in the intestine, blood, eggs, and excreta of laying hens
(2025) Sommerfeld, Vera; Hanauska, Anna; Huber, Korinna; Bennewitz, Jörn; Camarinha-Silva, Amélia; Feger, Martina; Föller, Michael; Oster, Michael; Ponsuksili, Siriluck; Schmucker, Sonja; Seifert, Jana; Stefanski, Volker; Wimmers, Klaus; Rodehutscord, Markus
The objectives of this study were to investigate whether an increased dietary myo-inositol (MI) supply translates into changes in MI concentrations and endogenous mucosal phosphatase activities in the intestine of laying hens and whether different laying hen strains respond differently to MI supplementation. The diets were corn–soybean meal-based and supplemented without (MI0) or with 1 (MI1), 2 (MI2), or 3 (MI3) g MI/kg feed. Ten hens per strain (Lohmann Brown-classic (LB) and Lohmann LSL-classic (LSL)) and diet were sacrificed at the age of 30 wk following a 4-wk stay in a metabolic unit. The blood plasma, digesta of the duodenum+jejunum and distal ileum, mucosa of the duodenum, and eggs were collected at wk 30. The concentration of MI in the blood plasma was increased by MI supplementation (P < 0.001); however, that of MI3 did not further increase compared with MI2. The concentration of MI in the duodenum+jejunum and ileum increased steadily (P < 0.001). The MI concentration in the duodenum+jejunum was higher in LB than in LSL hens (P = 0.017). The MI concentration in egg yolk was increased by MI supplementation (P < 0.001) and was higher in LB than in LSL hens (P = 0.015). Strain or diet did not affect mucosal phosphatase activity. Myo-inositol flow at the terminal ileum and postileal disappearance increased with each increment in MI supplementation (P < 0.001) and was higher in LB than in LSL hens (P ≤ 0.041). Regression analysis indicated that, on average, 84% of supplemented MI was retained in the body or metabolized and excreted in a different form. Based on the measured MI concentrations in the blood and eggs, dietary MI was not completely absorbed in the small intestine and, to a different extent, in the two laying hen strains. A higher dietary MI supply was followed by higher intestinal absorption or metabolism by microorganisms. The fate of supplemented MI and its relevance to birds warrant further research.
Endogenous mucosal phosphatases characterization in duodenum brush border membrane of laying hens
(2025) Hanauska, Anna; Sommerfeld, Vera; Schollenberger, Margit; Huber, Korinna; Rodehutscord, Markus
Chicken mucosal phosphatases can partially degrade phytate contained in the feed. Little is known about the characteristics and degradation products of such mucosal phosphatases and the effects of age and genetic strain of the chicken. The objective of this study was to characterize endogenous mucosal phosphatases of two laying hen strains fed diets with or without mineral phosphorus (P) before and after the onset of egg laying. Hens of the strains Lohmann Brown-classic (LB) and Lohmann LSL-classic (LSL) were sacrificed in weeks 19 and 24 of age after 4 weeks of feeding one of two diets with (P+) or without (P-) mineral P supplement. Mucosa of the duodenum was collected, and the brush border membrane (BBM) of enterocytes was enriched and used for phosphatase activity determination. Additionally, the BBM was used in a modified three-step in vitro assay to study the InsP6 degradation products. The results of both in vitro assays were not significantly affected by hen strain and diet. The activity of mucosal phosphatase in 19-week-old hens was, on average, 0.8 µmol Pi/g BBM protein/min lower than in 24-week-old hens (P < 0.002). Consistently, the InsP6 concentration in the incubation residue was significantly higher in 19-week-old hens than in 24-week-old hens (P < 0.001). In the incubation residue, the concentrations of Ins(1,2,3,4,5)P5, Ins(1,2,3,4,6)P5, and Ins(1,2,3,4)P4 were significantly lower (P ≤ 0.002), and those of InsP3 and InsP2 were significantly higher (P ≤ 0.027) when BBM of 24-week-old hens was used compared to 19-week-old hens. The InsP6 degradation products suggest the activity primarily of a 6- and secondarily of a 5-phytase in the duodenal mucosa. The consistent results from both in vitro assays provide a comprehensive characterization of these enzymes. Under the conditions of this study, small intestine calcium concentration appeared to influence mucosal enzyme activity more than dietary mineral P supplementation.
Impact of added phytase and different dietary InsP6 levels on the structure and core microbiota of the digestive tract in broiler chickens
(2025) Rubio-Cervantes, Ismael; Wolfrum, Stephanie; Rodehutscord, Markus; Camarinha-Silva, Amélia
The main objective of this research was to investigate the composition and shifts of the gut microbiota of broiler chickens in response to varying exogenous phytase combined with increasing levels of myo-inositol (1,2,3,4,5,6) hexakis (dihydrogen phosphate) (InsP6) in the feed. The InsP6 level was adjusted with the addition of oilseed meals (OSM) at the expense of maize starch. A secondary objective was to assess the existence of a core microbiota across the feed, litter and gastrointestinal tract (GIT). A total of 840 Ross 308 broiler chickens were raised in 84 elevated pens in groups of 10. The treatments consisted of four feed mixtures (FM) designed to achieve 1.4 (FM1.4), 1.9 (FM1.9), 2.4 (FM2.4), and, 3.0 (FM3.0) g InsP6-P/kg, each combined with 500, 1500 or 3000 FTU phytase/kg. In the crop and the ileum, Lactobacillus relative abundance decreased when OSM and phytase increased (p < 0.05), while FM2.4 and FM3.0 were associated with increased Ligilactobacillus abundance across the GIT (p < 0.05). No interaction effects were found across the studied sections (p = 0.22). Four amplicon sequence variants (ASV), identified within the genera Lactobacillus, Ligilactobacillus, and Limosilactobacillus were consistently found across the intestine sections. These four ASVs represented 58.9 % of the relative abundance in the crop, 72.9 % in the ileum and 29.7 % in the ceca. The results demonstrated that higher levels of OSM in the feed and exogenous phytase significantly affected these bacterial populations, decreasing Lactobacillus while increasing Ligilactobacillus, indicating independent effects of FM and phytase supplementation.
In vitro maturation of bovine oocytes in the presence of resveratrol and ellagic acid but not chlorogenic acid modulates blastocyst antioxidant gene expression without impacting embryo development and oxygen consumption
(2025) Giller, Katrin; Schmid, Dominique; Serbetci, Idil; Meleán, Manuel; Greve, Sarah; von Meyenn, Ferdinand; Bollwein, Heinrich; Herrera, Carolina; Giller, Katrin; Department of Molecular Nutritional Science, University of Hohenheim, Garbenstrasse 30, 70599 Stuttgart, Germany;; Schmid, Dominique; Animal Nutrition, ETH Zurich, Universitaetstrasse 2, 8092 Zurich, Switzerland; Serbetci, Idil; AgroVet-Strickhof, University of Zurich, Eschikon 27, 8315 Lindau, Switzerland; (I.S.); (M.M.); (H.B.); (C.H.); Meleán, Manuel; AgroVet-Strickhof, University of Zurich, Eschikon 27, 8315 Lindau, Switzerland; (I.S.); (M.M.); (H.B.); (C.H.); Greve, Sarah; Department of Molecular Nutritional Science, University of Hohenheim, Garbenstrasse 30, 70599 Stuttgart, Germany;; von Meyenn, Ferdinand; Laboratory of Nutrition and Metabolic Epigenetics, ETH Zurich, Schorenstrasse 16, 8603 Schwerzenbach, Switzerland;; Bollwein, Heinrich; AgroVet-Strickhof, University of Zurich, Eschikon 27, 8315 Lindau, Switzerland; (I.S.); (M.M.); (H.B.); (C.H.); Herrera, Carolina; AgroVet-Strickhof, University of Zurich, Eschikon 27, 8315 Lindau, Switzerland; (I.S.); (M.M.); (H.B.); (C.H.); Jiang, Zhongliang
In vitro fertilization is used to produce embryos from high-genetic-merit cattle. However, these embryos often exhibit inferior quality than those derived in vivo, possibly due to increased oxidative stress. This study investigates whether adding antioxidant polyphenols (resveratrol (RV), chlorogenic acid (CA), ellagic acid (EA)) to the in vitro maturation (IVM) medium at 0.25, 0.5, and 1 μM could improve embryo development. Oxygen consumption and gene expression were evaluated at the blastocyst stage following treatment with 1 μM of each polyphenol. Embryo development (cleavage, blastocyst, and hatched blastocyst rates) and oxygen consumption were not significantly affected by polyphenols. However, RV significantly upregulated the mRNA expression of the antioxidant enzyme glutathione peroxidase 4 (GPX4), while GPX4 expression was significantly downregulated by EA. Expression of other gene markers related to antioxidant defense, apoptosis, development, and metabolism was not significantly affected. The results indicate that applying RV, CA, and EA during bovine oocyte IVM does not enhance in vitro embryo development at the tested concentrations. Given the opposing effects of RV and EA on the expression of GPX4, the effects of those polyphenols regarding the protection of embryos from oxidative stress and potential long-term effects on the offspring remain to be elucidated.
Is heat stress a growing problem for dairy cattle husbandry in the temperate regions? A case study of Baden-Württemberg in Germany
(2024) Leandro, Miguel António; Stock, Joana; Bennewitz, Jörn; Chagunda, Mizeck G. G.
Heat stress with measurable effects in dairy cattle is a growing concern in temperate regions. Heat stress in temperate regions differs between environments with different geophysical characteristics. Microclimates specific to each environment were found to greatly impact at what level heat stress occurs and will occur in the future. The landlocked state of Baden-Württemberg, Germany, provides several different environments, hence, a good case-study. Temperature–Humidity Index (THI) from 17 weather stations for the years 2003 to 2022 was calculated and milking yields from 22 farms for the years 2017 to 2022 were collected. The occurrences and evolving patterns of heat stress were analyzed with the use of a THI, and the effect of heat stress on milk yield was analyzed based on milking records from Automated Milking Systems. Daily average THI was calculated using hourly readings of relative humidity and ambient temperature, disregarding solar radiation and wind, as all animals were permanently stabled. Based on studies conducted in Baden-Württemberg and neighboring regions, cited ahead in the section of THI, THI = 60 was the threshold for heat stress occurrence. Findings show that the heat stress period varied between stations from 64 to 120 d with THI ≥ 60 in a year. This aligns with yearly and summer averages, also steadily increasing from May to September. The length of the heat stress period was found to increase 1 extra day every year. Extreme weather events such as heat waves did not increase the heat stress period of that year in length but increased the average THI. Milk yield was found to be significantly (α = 0.05) different between counties grouped into different zones according to heat stress severity and rate of increase in daily average THI. Future attempts at managing heat stress on dairy cattle farms in the temperate regions should account for microclimate, as geographical proximity does not mean that the increase in heat stress severity will be the same in the 2 neighboring areas.
Legume-derived phenolic acids influence Fusarium oxysporum f.sp. strigae compatibility and biocontrol potential in a Striga push–pull system
(2025) Assena, Mekuria Wolde; Schöne, Jochen; Rasche, Frank
Biological control of Striga hermonthica (Del.) Benth. includes push–pull, intercropping using legumes, and soil-borne fungi such as Fusarium oxysporum f.sp. strigae (FOS). Efficacy of both technologies is compromised by various environmental factors. Combining them could potentially overcome their limitations and enhance control of S. hermonthica. It was hypothesized that FOS inoculation is compatible with push–pull intercropping, allowing consistent S. hermonthica suppression. Effects of selected phenolic acids and crude root exudates from three legume species (Mucuna pruriens, Desmodium uncinatum, Crotalaria juncea) on FOS mycelial growth and spore germination were studied. Bioassays showed that most phenolic acids (e.g., caffeic, p-hydroxybenzoic, syringic) had no effect on FOS development, except for piperonylic (80 %, 38 %) and t-cinnamic (53 %, 33 %) acids, which strongly inhibited growth at concentrations of 1 and 0.5 mM, respectively. Crude root exudates from Crotalaria inhibited FOS mycelial growth at 1 (44 %) and 0.5 (32 %) mg ml-1. Desmodium and Mucuna exudates showed no inhibition. Greenhouse results showed that legume intercropping and FOS inoculation reduced S. hermonthica emergence, with their integration achieving over 95 % suppression and boosting maize biomass. Legume presence enhanced FOS proliferation, with Mucuna and Desmodium increasing FOS gene copy numbers by over 44 %. LC-MS analysis identified nine phenolic acids, with p-coumaric (85–128 µg g−1) and p-hydroxybenzoic (50–97 µg g−1) acid being most abundant; the latter positively correlated with FOS abundance. In this setting, legume intercropping with maize did not impair FOS proliferation in rhizosphere soil and effectively suppressed S. hermonthica, demonstrating compatibility of FOS inoculation with push–pull for effective S. hermonthica management.
Limitations of soil-applied non-microbial and microbial biostimulants in enhancing soil P turnover and recycled P fertilizer utilization: A study with and without plants
(2024) Herrmann, Michelle Natalie; Griffin, Lydia Grace; John, Rebecca; Mosquera-Rodríguez, Sergio F.; Nkebiwe, Peteh Mehdi; Chen, Xinping; Yang, Huaiyu; Müller, Torsten
Introduction: Phosphorus recovery from waste streams is a global concern due to open nutrient cycles. However, the reliability and efficiency of recycled P fertilizers are often low. Biostimulants (BS), as a potential enhancer of P availability in soil, could help to overcome current barriers using recycled P fertilizers. For this, a deeper understanding of the influence of BSs on soil P turnover and the interaction of BSs with plants is needed. Methods: We conducted an incubation and a pot trial with maize in which we testednon-microbial (humic acids and plant extracts) and microbial BSs (microbial consortia) in combination with two recycled fertilizers for their impact on soil P turnover, plant available P, and plant growth. Results and discussion: BSs could not stimulate P turnover processes (phosphatase activity, microbial biomass P) and had a minor impact on calcium acetate-lactate extractable P (CAL-P) in the incubation trial. Even though stimulation of microbial P turnover by the microbial consortium and humic acids in combination with the sewage sludge ash could be identified in the plant trial with maize, this was not reflected in the plant performance and soil P turnover processes. Concerning the recycled P fertilizers, the CAL-P content in soil was not a reliable predictor of plant performance with both products resulting in competitive plant growth and P uptake. While this study questions the reliability of BSs, it also highlights the necessity toimprove our understanding and distinguish the mechanisms of P mobilization in soil and the stimulation of plant P acquisition to optimize future usage.
A novel dataset of annotated oyster mushroom images with environmental context for machine learning applications
(2024) Duman, Sonay; Elewi, Abdullah; Hajhamed, Abdulsalam; Khankan, Rasheed; Souag, Amina; Ahmed, Asma
State-of-the-art technologies such as computer vision and machine learning, are revolutionizing the smart mushroom industry by addressing diverse challenges in yield prediction, growth analysis, mushroom classification, disease and deformation detection, and digital twinning. However, mushrooms have long presented a challenge to automated systems due to their varied sizes, shapes, and surface characteristics, limiting the effectiveness of technologies aimed at mushroom classification and growth analysis. Clean and well-labelled datasets are therefore a cornerstone for developing efficient machine-learning models. Bridging this gap in oyster mushroom cultivation, we present a novel dataset comprising 555 high-quality camera raw images, from which approximately 16.000 manually annotated images were extracted. These images capture mushrooms in various shapes, maturity stages, and conditions, photographed in a greenhouse using two cameras for comprehensive coverage. Alongside the images, we recorded key environmental parameters within the mushroom greenhouse, such as temperature, relative humidity, moisture, and air quality, for a holistic analysis. This dataset is unique in providing both visual and environmental time-point data, organized into four storage folders: “Raw Images”; “Mushroom Labelled Images and Annotation Files”; “Maturity Labelled Images and Annotation Files”; and “Sensor Data”, which includes time-stamped sensor readings in Excel files. This dataset can enable researchers to develop high-quality prediction and classification machine learning models for the intelligent cultivation of oyster mushrooms. Beyond mushroom cultivation, this dataset also has the potential to be utilized in the fields of computer vision, artificial intelligence, robotics, precision agriculture, and fungal studies in general.
Predicting tilling and seeding operation times in grain production: a comparison of machine learning and mechanistic models
(2025) Scheurer, Luca; Zimpel, Tobias; Leukel, Jörg
Field operations management in grain production requires accurate and timely predictions of operation times for machine tasks. While machine learning (ML) is being adopted more widely in operations management, little is known about its ability to predict tilling and seeding operation times. The aim of this study was to evaluate the prediction performance of ML models for these operation times by using readily available tractor and operations data rather than dynamic environmental data. We collected data between March 2022 and August 2023 from 70 grain fields in the southwest of Germany, including variables such as tractor speed, engine speed, fuel consumption, and field geometry. Operation times exhibited high variability (coefficient of variation [CV] = 0.88). Nine ML algorithms and two conventional mechanistic models proposed by the American Society of Agricultural and Biological Engineers (ASAE EP496.3) were evaluated in a temporal external validation. Random forest (RF) models outperformed all other models, achieving a normalized root mean square error (NRMSE) of 0.215 and a coefficient of determination (R2) of 0.910. Compared to a conventional mechanistic model, the RF model reduced the mean absolute error (MAE) by 37.8 %, and enhanced the R2 by 0.107. The study results highlight the potential of our approach to predict tilling and seeding operation times in grain production without increasing the effort for data collection, offering an accessible and cost-effective solution for resource-constrained grain farming systems that experience data shortages.
Prevalence, genetic diversity, and molecular detection of the apple hammerhead viroid in Germany
(2025) Zikeli, Kerstin; Berwarth, Constanze; Born, Ute; Leible, Thomas; Jelkmann, Wilhelm; Hagemann, Michael Helmut; Zikeli, Kerstin; Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Dossenheim, Germany; Berwarth, Constanze; Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Dossenheim, Germany; Born, Ute; Department of Production Systems of Horticultural Crops, University of Hohenheim, Stuttgart, Germany; Leible, Thomas; Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Dossenheim, Germany; Jelkmann, Wilhelm; Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Dossenheim, Germany; Hagemann, Michael Helmut; Department of Production Systems of Horticultural Crops, University of Hohenheim, Stuttgart, Germany
Introduction: Apple hammerhead viroid (AHVd) is an emerging plant pathogen infecting apple orchards worldwide. Its genetic variability and geographical distribution remain poorly understood, limiting effective diagnostics and management strategies. Methods: In this study, 192 samples from German apple orchards were analyzed using reverse transcription (RT) and real-time PCR, one-step RT real-time PCR, and Sanger sequencing. Next-generation sequencing (NGS) was employed on pooled RNA extracts to explore genetic diversity. Phylogenetic relationships were inferred using maximum likelihood methods, and viroid-derived small RNAs (vd-sRNAs) were identified from small RNA sequencing data. Results and discussion: AHVd was detected in 78% of samples, with prevalence varying by region: southern (82%), eastern (90%), northern (72%), and western (70%) states of Germany. Phylogenetic analysis revealed distinct clusters linked to geographical origins, indicating isolated evolutionary pathways. NGS analysis uncovered 39% inter-sample variability and 169 polymorphic positions, while Sanger sequencing of RT real-time PCR products derived from the same samples showed only 3% variability, reflecting dominant quasispecies populations. Small RNA analysis mapped 128,388 reads to the AHVd genome, identifying hotspots within and outside the rod-like structure, suggesting structural and regulatory functions of vd-sRNAs. These findings underline AHVd’s genetic diversity. The complex relationship between AHVd genetic variability and symptom expression necessitates the development of highly sensitive diagnostic tools and adaptive management strategies to effectively monitor and control its spread in apple production.
Relationship between nutritional composition and fibre digestibility in tropical forages compared to temperate forages
(2024) Nurdianti, Risma Rizkia; Dickhöfer, Uta; Castro-Montoya, Joaquín Miguel
The study aimed to analyse variability in nutrient concentration and fibre digestibility in forage legumes and grasses from tropical and temperate regions and identify forage species with similar fibre concentration and digestibility. Forty-five samples comprised 22 tropical forage legumes, four temperate forage legumes, eleven tropical grasses, and eight temperate grasses were analysed for their proximate nutritional composition, as well as fibre digestibility by 240-h of in vitro incubation in buffered rumen fluid. All data were analysed using SAS (SAS Institute Inc., USA). Pearson correlations and multiple linear regressions were determined using CORR and GLM procedures, respectively. Cluster analyses were done using CLUSTER procedures. Tropical forage legumes had greater ash-corrected neutral detergent fibre (aNDFom) concentrations compared to temperate forage legumes, but lower aNDFom concentrations compared to tropical and temperate grasses. Tropical forage legumes had greater undigested neutral detergent fibre estimated after 240 h in vitro incubation (uNDF240) concentrations compared to other forages. In tropical forage legumes, aNDFom and lignin concentrations correlated with uNDF240 concentration (p < 0.001). Meanwhile, there were no relationships between explanatory variables and fibre digestibility (p > 0.100). Four clusters of forage species varying in fibre concentration and fibre digestibility were identified. Peanut, lima bean, and cowpea forages might have low fibre concentration and medium fibre digestibility similar to those of alfalfa and red clover. Despite differences in environmental conditions, tropical forage legumes might compete with temperate species in terms of nutrient and fibre quality. This information allows tropical farmers to improve forage quality by choosing appropriate species.
Review: Welfare in farm animals from an animal-centred point of view
(2024) Huber, Korinna
This review aimed to enlighten aspects of welfare from the farm animal-centred point of view rarely addressed such as those anatomical and physiological alterations induced in farm animals to obtain high performance. Hence, the major working hypothesis was that high-producing farm animals developed an imbalance between body structural and functional capacities and the genetic procedures applied to obtain industrial production of animal protein. This is called “disproportionality”, a feature which cannot be compensated by feeding and management approaches. Consequences of disproportionality are the insidious development of disturbances of the metabolism, low-grade systemic inflammation and as a final stage, production diseases, developing throughout the productive life span of a farm animal and affecting animal welfare. Based on scientific evidence from literature, the review discusses disproportional conditions in broilers, laying hens, sows, piglets, dairy cows, bulls and calves as the most important farm animals for production of milk, meat, foetuses and eggs. As a conclusion, farm animal welfare must consider analysing issues from an animal-centered point of view because it seems evident that, due to genetics and management pressures, most of farm animals are already beyond their physiological limitations. Animal welfare from an animal-centered point must be addressed as an ethical step to establish limits to the strength placed on the animal’s anatomical and physiological functionality. It may allow more sustainable and efficient farm animal production and the availability of healthy animal-derived protein for human nutrition worldwide.

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