Tillage Systems Research Articles

Traditional potato tillage systems in the Peruvian Andes impact bacterial diversity, evenness, community composition, and functions in soil microbiomes

The soil microbiome, a crucial component of agricultural ecosystems, plays a pivotal role in crop production and ecosystem functioning. However, its response to traditional tillage systems in potato cultivation in the Peruvian highlands is still far from understood. Here, ecological and functional aspects of the bacterial community were analyzed based on soil samples from two traditional tillage systems: 'chiwa' (minimal tillage) and 'barbecho' (full tillage), in the Huanuco region of the Peruvian central Andes. Similar soil bacterial community composition was shown for minimal tillage system, but it was heterogeneous for full tillage system. This soil bacterial community composition under full tillage system may be attributed to stochastic, and a more dynamic environment within this tillage system. 'Chiwa' and 'barbecho' soils harbored distinct bacterial genera into their communities, indicating their potential as bioindicators of traditional tillage effects. Functional analysis revealed common metabolic pathways in both tillage systems, with differences in anaerobic pathways in 'chiwa' and more diverse pathways in 'barbecho'. These findings open the possibilities to explore microbial bioindicators for minimal and full tillage systems, which are in relationship with healthy soil, and they can be used to propose adequate tillage systems for the sowing of potatoes in Peru.

Characterization of soil pores in strip-tilled and conventionally-tilled soil using X-ray computed tomography

Changes in soil pore size distribution and connectivity can affect contaminant transport. Climate, soil type, and agricultural management practices can influence these characteristics. Conservation tillage practices, such as strip tillage, have been promoted as agricultural management practices that can help reduce soil erosion and nutrient loss in runoff. However, limited information exists in the literature on the effect of strip tillage on soil pore characteristics. Thus, the objective of this research study was to assess the effects of different tillage practices i.e., conventional tillage (CT) vs. strip tillage (ST), on soil pore properties and quantify change in soil pore characteristics as a function of season. Undisturbed cylindrical soil columns (150 mm diameter and 640 mm length) were collected from a field in Alabama, USA planted with cotton (Gossypium hirsutum L.) under ST and CT treatments during two seasons i.e., fall 2021 and spring 2022. Soil cores were collected from CT and ST portions of the field, in the fall, following cotton harvest and before planting a cover crop (season 1), and in the spring, after the cover crop had matured (season 2). X-ray computed tomography was used to scan the soil cores and quantify soil pore characteristics. Results show that the ST treatment had significantly (p < 0.05) greater macroporosity values, network density, macropore length density, and interconnectivity compared to the CT in season 1. This was attributed to ST being a minimally disturbed treatment: thereby, it has a better chance of preserving cracks and biological activity as compared to CT, which is more prone to destruction of large macropores. The pore properties also showed a drastic decrease in values during season 2, especially for the top 200 mm of the soil profile in response to rainfall induced soil reconsolidation in both the tillage systems. Overall, this study showed that pore morphology can be affected by tillage and seasonal aspects associated with them.

POTENTIAL OF NO-TILL TECHNOLOGY FOR ENVIRONMENTAL PROTECTION

Reducing the negative impact of agricultural practices on the environment is essential. There is a growing need for the use and adoption of environmentally friendly and environmentally sound technologies in agriculture. Encouraging the adoption of agri-environmental practices will increase crop productivity, minimise labour time, improve biological control, reduce erosion, improve soil structure, increase infiltration and water retention properties and achieve environmental sustainability. The wide range of conditions under which the minimum tillage system works successfully worldwide are its economic, social and environmental advantages. No-till technology is often characterised as a means of tilling the soil and growing different crop species with positive environmental externalities. The purpose of this paper is to describe the importance of using the agroecological practice of no-till and its impact on land resources as well as its secondary environmental impacts. A literature review of the author's views related to the definitions of No-till technology is conducted. It is most commonly defined as no-till, minimum tillage or a technology such as planting in soil without prior preparation. The palette of benefits that agroecological practice brings to the soil, the environment, agriculture and farmers is rich, namely: ➢ does not disturb soil composition; ➢ improves the functions that occur in ecosystems; ➢ increases the availability of crop residues. Increased availability of crop residues and cover crops on cropland increases biomass production, with the maximized yield serving to store more C in the soil; ➢ improves water conveyance functions, moisture retention, and reduction of surface runoff and erosion, increases heat throughout the soil world; ➢ production quantities obtained are comparable to those of intensive tillage; ➢ reduces both labor time and the use of fuels and pesticides; ➢ minimizes depreciation of the equipment used; ➢ reduce investment in purchasing attachments; ➢ smaller capacity of the machinery and equipment used; ➢ reduce and simplify labour requirements; ➢ easy matching with crop rotation and improved nutrient cycling. Key words: JEL: Q00, Q01, O13

The inhibitory potential of green manure return on the germination and seedling growth of Eleusine indica L.

Trifolium repens L. (white clover) and Lolium perenne L. (ryegrass) are green manures widely used in conservation tillage systems worldwide. Eleusine indica L. (goosegrass) is a globally recognized noxious weed. Herein, we investigated the effects of aqueous extracts, decomposed liquids, and different straw-to-soil ratios on the germination and growth of goosegrass. The results showed that high concentrations (≥ 30%) of aqueous extracts or decomposed liquids of both green manures significantly inhibited germination-related parameters of goosegrass. The strongest inhibitory effect was observed for the 7-day decomposition treatment, and white clover's inhibitory effect was greater than ryegrass's. A pot experiment showed that non-photochemical quenching, catalase, and peroxidase activity levels of goosegrass leaves were significantly increased. At the same time, the net photosynthetic rate significantly decreased. Seedling growth was inhibited when the straw-to-soil ratio was greater than 3:100. The ryegrass treatments inhibited goosegrass seedlings more than the white clover treatments. This study demonstrated the inhibitory potential of white clover and ryegrass straw return on seed germination and seedling growth of goosegrass. The study has also helped to identify weed-resistant substances in these green manures so that their weed-control properties can be used more effectively and herbicide usage can be reduced.

Nurturing Crops, Enhancing Soil Health, and Sustaining Agricultural Prosperity Worldwide through Agronomy

Agronomy is the science and technology of crop and soil management for producing food, fiber, feed, and fuel. As the global population continues to rise, agronomy will play an increasingly vital role in meeting escalating food demands while sustaining natural resources. This review highlights major advancements in agronomic research and practice that enhance crop yields, soil health, and agricultural sustainability worldwide. Key topics include plant breeding for improved crop varieties, optimized plant nutrition and soil fertility management, efficient water management, integrated pest management (IPM), conservation agriculture techniques, precision agriculture technologies, and climate-smart farming approaches. Modern agronomy strategies such as drought-tolerant cultivars, micro-irrigation, reduced tillage systems, site-specific input applications, and integrated cropping systems can significantly improve productivity and resilience. However, continued innovation and diffusion of agronomic knowledge is crucial to nourish growing populations while protecting environmental quality. Collaborative efforts among researchers, educators, policy makers, and farmers will be imperative to apply advanced yet context-specific agronomic solutions that sustain agricultural prosperity into the future.

Biochar and conservation tillage affect the agronomic performance and fatty acid composition of Nigella sativa L. under both irrigated and dryland conditions

Soils in arid and semi-arid regions like Iran have suffered greatly from low organic matter content and low water availability. Traditional tillage and the overuse of chemical fertilizers are accelerating the problems in the region. So, sensible and sustainable strategies such as conservation tillage and natural organic inputs are becoming increasingly important to enhance organic matter and humidity in the soil and grow high-quality crops in agroecosystems. Thus, in 2019 and 2020, a split-split plot arrangement within a randomized complete block design was conducted in Iran to assess the effects of irrigated conditions, tillage systems, and biochar on the aforementioned traits. There were two irrigation conditions (irrigated and dryland) as the main plots, three tillage methods (conventional, minimum, and no-tillage) as sub-plots, and two application rates for biochar (0 and 15 ton ha−1) as sub-sub plots. The findings indicated that biochar application enhanced grain yield across all tillage methods under both irrigation conditions. Biochar with minimum tillage improved oil yield by 23% and 29% compared to those that did not use biochar under the dryland and irrigated conditions, respectively. Moreover, oil yield was higher in 2020 than in 2019 for all tillage systems and biochar rates. The main components of Nigella sativa L. oil belong to linoleic, oleic, and palmitic acids. Minimum tillage with biochar under irrigated conditions in 2020 and no-tillage without biochar under dryland conditions in 2019 had the most (59%) and the least linoleic acid (53%), respectively. Conventional, minimum, and no-tillage with biochar in dryland conditions significantly increased linoleic acid by 2%, 3%, and 5% compared to those without biochar in 2020, respectively. In general, adopting biochar with minimum tillage produced the best outcomes for Nigella sativa L. yield, and grain oil quality under both irrigation conditions. It is recommended that farmers incorporate these practices to produce high-quality Nigella sativa L. in sustainable agricultural systems.

Effects of transitioning from conventional to organic farming on soil organic carbon and microbial community: a comparison of long-term non-inversion minimum tillage and conventional tillage

The combination of conservation tillage (non-inversion and no-till) with organic farming is rare due to weed problems. However, both practices have the potential to improve soil quality and increase soil organic C (SOC). This study investigated the changes in SOC, microbial biomass, and microbial composition during the transition from conventional to organic farming (from 2014 to 2020) in a long-term tillage trial established in 1999. Non-inversion minimum tillage to a depth of 10 cm (MT) resulted in SOC stratification, whilst conventional soil tillage with 25-cm-deep mouldboard ploughing (CT) maintained an even SOC distribution in the plough layer. After 12 years of contrasting tillage in 2011, the uppermost soil layer under MT had a 10% higher SOC content (1.6% w/w) than CT (1.45% w/w). This difference became even more pronounced after introducing organic farming in 2014. By the fall of 2020, the SOC content under MT increased to 1.94%, whilst it decreased slightly to 1.36% under CT, resulting in a 43% difference between the two systems. Conversion to organic farming increased microbial biomass under both tillage systems, whilst SOC remained unchanged in CT. Abundances of total bacterial and Crenarchaeal 16S rRNA and fungal ITS genes indicated shifts in the microbial community in response to tillage and depth. Fungal communities under MT were more responsive to organic farming than bacterial communities. The improved soil quality observed under MT supports its adoption in both organic and conventional systems, but potentially large yield losses due to increased weed cover discourage farmers from combining MT and organic farming.

Influence of various tillage systems and tillage speed on some soil physical properties

AbstractSoil cultivation techniques can change the physical properties of soil and have the potential to influence the growth and productivity of crops. In the 2022 season, a research study was carried out on Gypsfreous soil in the College of Agriculture fields at Tikrit University. The purpose of the study was to investigate how the physical properties of the soil are influenced by three different plow types and varying plowing speeds. The study was planned using split plots within a Complete Randomized Blocks Design, with three types of plows (moldboard plow, disc plow, and chisel plow) and three tractor speeds (3.8, 5.8, and 7.6 km h−1) as the experimental treatments.The experiment's findings indicated that the moldboard plow resulted in a greater reduction in bulk density compared to the disc plow. Consequently, the soil's bulk density decreased, and the percentage of porosity increased. On the other hand, the chisel plow had the lowest soil-specific resistance value and the highest soil volume disturbed value. The speed of operation above 3.8 km h−1 proved to be the most effective in reducing bulk soil density, increasing soil porosity, and reducing specific soil resistance. However, at a speed of 7.6 km h−1, the soil volume disturbed was significantly higher than at other speeds. Additionally, the experiment's findings demonstrated that the moldboard plow, operating at a speed of 3.8 km h−1, was significantly more effective than other methods in decreasing the soil's bulk density, increasing the porosity percentage, and reducing the specific soil resistance. Conversely, the chisel plow, working at a speed of 7.6 km h−1, had a significant advantage in achieving the highest value for the volume of soil disturbed.

Effects of varying tillage practices and weed control methods on the efficacy of infiltration models.

Agricultural land preparation and weed control techniques are essential farm management tools that affect the dynamics of soil water infiltration and the estimation accuracy of infiltration models. To analyse the interaction effect of tillage and weed control methods on the changes in soil physical properties and the efficacy of infiltration models, an experiment was conducted on a sandy clay loam forest ochrosol at Hodzo near Ho in Ghana. Four tillage systems (No Tillage [NT], Reduced Tillage [RT], Plough + Harrow + Ridging [PHR], and Deep Tillage + Plough + Harrow + Ridging [DPHR]) and three weed control methods (Hoeing [H], Machete [MAT] and No Weeding [NW]) were employed. The study also tested the reliability of the models (Kostiakov, Philip, and Horton) using the goodness of fit statistical criteria: Root mean squared error (RMSE), Mean absolute error (MAE), Coefficient of determination (R2), and Nash-Sutcliffe efficiency (NSE). The results show that conservation tillage systems (CsT) and conventional tillage systems (CT) with MAT weeding treatments recorded the highest moisture content across the studied soil profile, especially for NT x MAT (11.189%) which was significant (p < 0.05) in the 15-30 cm layer; the lowest were observed in the CsT and CT with H weeding interactions, especially for the DPHR x H (8.086%). Comparing the interaction effect on the soil infiltration, the highest mean infiltration rate was significant (p < 0.05) under the NT X H treatment combination whilst the lowest infiltration rate was recorded in the DPHR X H and PHR X NW treatment combinations. The efficiency of the fitting models (Kostiakov > Horton > Philip) highly prioritised the soil tillage operations and weed management under the treatments DPHR x MAT > DPHR x NW > DPHR x H > RT x MAT > PHR x NW > PHR x MAT > NT x NW > RT x MAT > PHR x H > RT x H > NT x MAT > RT x NW > NT x H in that order. The trend shows that the increase in tillage intensity and the decrease in weed management intensity induce the quality of the estimation process and vice versa. The study, therefore, identified the use of machete (MAT) with DPHR under the Kostiakov model as the efficient land management for modelling the cumulative infiltration characteristics of the sandy clay loam ochrosols of the study area.

The Content and Stratification of SOC and Its Humified Fractions Using Different Soil Tillage and Inter-Cropping

Five different tillage systems were researched in a Cambisol of a loam texture in the long-term experiment: conventional ploughing at 22–24 cm (CT), shallow ploughing at 16–18 cm (ShT), harrowing at 8–10 cm (MT1), harrowing at 14–16 cm (MT2), and no tilling (NT). The aim of this study was to determine how different tillage and inter-cropping influence the accumulation and distribution of SOC (soil organic carbon) and its compounds in different soil layers. SOC content changed depending on the soil tillage system and inter-crops used. Stratification ratios (SR) of SOC in the surface soil (0–10 cm) to that in the 10–20 cm (SR1) and 20–30 cm (SR2) were calculated. In our research, SR for SOC varied in the range from 0.97 to 1.35 for SR1 and from 1.02 to 1.99 for SR2. The main conclusion was that inter-crops increased the SOC accumulation in the 0–10 cm layer of all investigated treatments. It was concluded that different soil tillage systems and inter-crops influenced processes of soil carbon changes and affected OM humification in the soil. The formation of humified carbon compounds should be considered not only as a preservation and improvement of the soil productivity, but also as an environmental assessment of their impact on the soil sustainability and reduction in carbon dioxide emissions into the atmosphere. Our results suggest that sustainable tillage and inter-cropping management may contribute to climate mitigation regarding SOC accumulation in soil.

Impact of cropping and tillage system on take-all disease of winter wheat (Gaeumannomyces graminis var. tritici)

Diseases induced by Gaeumannomyces graminis var. tritici (G. g. tritici) are the most important wheat root diseases in all cropping areas around the world and significantly reduces yield and quality of wheat grain. A multi-year field experiment was used to evaluate infestation of winter wheat roots by G. g. tritici. The experimental factors included: I. cropping system (CS): 1) crop rotation (CR): pea – winter wheat – spring barley; 2) monoculture of winter wheat (MON); and II. tillage system (TS): 1) CT – conventional tillage, 2) RT – reduced tillage, and 3) NT – no-tillage. The following cultivation treatment were applied: a shallow ploughing after previous harvest and pre-sowing ploughing in the CT system; double cultivation instead of both aforementioned ploughing treatments in the RT system; and glyphosate in NT system. A cultivation set, consisting of a cultivator, a string roller, and a harrow, was used before wheat sowing. The value of the index of winter wheat roots infestation by G. g. tritici was significantly higher in the monoculture than in crop rotation. The value was also higher in NT than in CT system. In wheat monoculture with NT system, the percentage of highly and severely infested plants was higher than in crop rotation with CT system.

The selected agrotechnical factors affecting the occurrence of black grass Alopecurus myosuroides in winter wheat crops in north-western Poland

Alopecurus myosuroides of the family Poaceae is a highly competitive species for winter cereal crops, particularly for barley and wheat, less frequently for root vegetables or rapeseed. This study aimed to determine the predominant factor or group of factors affecting the cover of A. myosuroides in winter wheat field depending on the tillage systems, time, and amounts of herbicides used. The following variables differentiating the quantitative contribution of A. myosuroides in the analyzed fields were assumed: plough or no-plough tillage, date of biocidal application, and the total amount of herbicides (active substances) used. When spring-only herbicide was applied, the lowest A. myosuroides cover, not exceeding 25%, was observed in the margins of winter wheat fields. The coverage of A. myosuroides, reaching 25–100% of the winter wheat area, regardless of the tillage system, was found when the herbicides from the group of sulfonylurea derivatives (acetolactate synthase ALS inhibitors) were frequently used. Winter wheat infestation with A. myosuroides was significantly lower when ploughing was applied. The highest cover of A. myosuroides, reaching 50–100% of the area, was observed only in the central part of the analyzed winter wheat fields, following the application of herbicides in autumn and spring or in autumn only.

Molecular and genetic basis for improving the quality of soft wheat grain

The increase in agricultural territories in Azerbaijan can no longer cover the problem of shortage of high-quality baking flour in the domestic market. Thus, there is a need to improve the quality of grain harvested from existing areas to obtain more grain products. The purpose of this study is to review and investigate the physico-chemical and genetic parameters of local and introduced soft wheat varieties to further identify promising areas of breeding. For this purpose, a PCR study of individual loci of the Wx genes responsible for amylose synthesis and electrophoresis of Glu genes encoding gluten quantity and quality were performed. In addition, for the varieties Shafaq 2 and Gonen, which were selected during the research for the test baking of bread, a PCR analysis was performed to compile the gliadin formula of the varieties using a sample of the Bezostaya 1 variety as a marker. The physico-chemical characteristics were determined according to quality standards, as well as baking bread sample. During the pilot sowing, one of the varieties – Girmizi Gul1, was sown on plots with various tillage methods – traditional, minimal, and zero. Thus, it was determined that the varieties Gonen and Ekinci 84 contain a zero allele of the Wx-B1 – Wx-B1b gene, which means that their endosperm contains higher-quality starch, and the varieties Askeran, Azemetli 95, Gonen, Kirmizigul, Nurlu 99, Tale 38, and Ugur, in turn, contain a zero allele of the gene GluA1 – GluA1d, which on the contrary worsens the gluten quality of these varieties. As for tillage, the traditional system showed itself to be the best, the minimal tillage was slightly worse, and the zero tillage system turned out to be the least suitable in these conditions. Thus, the obtained data outline further areas for conducting research and open up prospects for targeted selection for alleles of the considered genes

Impact on wine sales of removing the largest serving size by the glass: An A-B-A reversal trial in 21 pubs, bars, and restaurants in England.

Interventions that alter aspects of the physical environments in which unhealthy behaviours occur have the potential to change behaviour at scale, i.e., across populations, and thereby decrease the risk of several diseases. One set of such interventions involves reducing serving sizes, which could reduce alcohol consumption. The effect of modifying the available range of serving sizes of wine in a real-world setting is unknown. We aimed to assess the impact on the volume of wine sold of removing the largest serving size by the glass from the options available in licensed premises. The study was conducted between September 2021 and May 2022 in 21 licensed premises in England that sold wine by the glass in serving sizes greater than 125 ml (i.e., 175 ml or 250 ml) and used an electronic point of sale till system. It used an A-B-A reversal design, set over 3 four-weekly periods. "A" represented the nonintervention periods during which standard serving sizes were served and "B" the intervention period when the largest serving size for a glass of wine was removed from the existing range in each establishment: 250 ml (18 premises) or 175 ml (3 premises). The primary outcome was the daily volume of wine sold, extracted from sales data. Twenty-one premises completed the study, 20 of which did so per protocol and were included in the primary analysis. After adjusting for prespecified covariates, the intervention resulted in -420·8 millilitres (ml) (95% confidence intervals (CIs) -681·4 to -160·2 p = 0·002) or -7·6% (95% CI -12·3%, -2·9%) less wine being sold per day. There was no evidence that sales of beer and cider or total daily revenues changed but the study was not powered to detect differences in these outcomes. The main study limitation is that we were unable to assess the sales of other alcoholic drinks apart from wine, beer, and cider, estimated to comprise approximately 30% of alcoholic drinks sold in participating premises. Removing the largest serving size of wine by the glass from those available reduced the volume of wine sold. This promising intervention for decreasing alcohol consumption across populations merits consideration as part of alcohol licensing regulations. ISRCTN https://doi.org/10.1186/ISRCTN33169631; OSF https://osf.io/xkgdb.

Towards a true conservation zero tillage system: “A proposed solution based on computer vision to herbicide resistance.”

The Zero Tillage (ZT) or Non-Tillage system constitutes an agricultural production approach designed for improved soil conservation, reduced fossil fuel usage, mitigation of waterway pollution, water and wind erosion, and addressing soil compaction, among other objectives. In this way, ZT promises more sustainable agriculture. However, current ZT production systems depend on herbicide applications for weed control. The use of herbicides with the same modes of action over many years has led to numerous resistant weed species, which end up threatening the success of the herbicide weed control and, consequently, the overall success of the ZT system. Being able to automatically detect and classify weed species directly under the sprayer during the chemical application is an alternative to control populations of weeds since it would allow selecting the herbicide and dose for those particular species. This study, conducted over 15 years in commercial fields utilizing Zero Tillage (ZT) management, examined various ground covers intrinsic to the ZT system originating from previous crops or residues post-harvest. ZT features a broad spectrum of contexts due to the complexity of different ground cover types, which challenge computer vision techniques. The assessment focused on the automatic detection and classification of among the most problematic monocotyledonous and dicotyledonous weed species in the province of Cordoba in Argentina, with the objective of enabling a more targeted and selective approach to their control. These are Amaranthus palmeri, Echinochloa crus-galli, Eleusine indica, Parietaria debilis and Conyza sumatrensis. Additionally, some species belong to the same botanical families with several morphological resemblances that defy vision algorithms. This work proceeded through a machine learning approach applied to computer vision features such as SIFT (scale-invariant feature transform), K-means (clustering), and Bag of Features over the Support Vector Machine for classification. The results showed an accuracy between 89 % and 98 % over the species, allowing a significant reduction of herbicide while applying the adequate active ingredient. Moreover, virtual binary maps from weed patches are devised to be implemented through ISOBUS protocol. Thus the current research contributes significantly to the issue of controlling populations of weeds in the ZT agriculture system.

X-ray computed tomography – Measured pore characteristics and hydro-physical properties of soil profile as influenced by long-term tillage and rotation systems

Soil hydro-physical properties and pore characteristics are crucial for crop production as they determine water, air, and nutrients transfer. Long-term tillage and crop rotation studies provide valuable insights into the effects of management practices on various soil properties. Because of the inherent differences between the surface and sub-surface soils, the impact of management systems can be pronounced differently at different soil depths. Though many studies have reported the tillage and rotation effects on soil hydro-physical properties, their vertical impacts to a depth of 40 cm were less explored. This study aims to assess the impact of long-term tillage and crop rotations on soil hydro-physical properties and pore characteristics to a depth of 40 cm utilizing the X-ray Computed Tomography (XCT) technique. Intact soil cores of 7.6 cm height × 7.6 cm ∅ were collected from tillage [no-till (NT); reduced-till (RT); conventional-till (CT)] and crop rotation [continuous corn (CC) – Zea mays L. and corn-soybean (CS) – Glycine max [Merr.] L.] plots of 0–40 cm depth (each sample for 10 cm increment). The XCT scanning allowed us to investigate the soil pore size distribution, porosity, number of branches, and average branch length. Measured hydro-physical properties in the study include bulk density (ρb), plant available water content (PAW), saturated hydraulic conductivity (Ksat), and water retention. XCT image analysis revealed that NT with CC/CS rotation increased the number of macropores at surface and sub-surface depths. However, the number of mesopores was higher with NT × CS. In addition, NT lowered the ρb by 9.6 % and increased the PAW by 28 % compared to the CT. Ksat was higher under NT × CS at 0–10 cm and had a strong positive correlation with the XCT-measured number of macropores. Therefore, we conclude that NT with CS rotation can potentially improve soil pore characteristics and hydro-physical properties, leading to enhanced soil function.

Crop Residues Stimulate Yield-Scaled Greenhouse Gas Emissions In Maize-Wheat Cropping Rotation In A Semi-Arid Climate

Mitigating yield-scaled greenhouse gas emissions (YSE) is beneficial for enhancing crop yield, reducing greenhouse gas (GHG) emissions, and advancing climate-smart agronomic management practices. This study aims to evaluate the impact of different crop residue rates– 100% (R100), 50% (R50), and residue removal (R0) – on the YSE indicator within a maize-wheat cropping rotation under both conventional tillage (CT) and no-tillage (NT) systems in a semi-arid region. In the NT system, crop residues had a notable effect on the YSE indicator for wheat. Specifically, R0 exhibited a 39% and 20% decrease in YSE for wheat compared to R100 and R50, respectively. Interestingly, crop residue did not significantly influence YSE for maize under the NT system. On the other hand, in the CT system, YSE for maize in R0 was 33% and 25% lower than that in R100 and R50, respectively. Additionally, compared to R0, there were observed increases of 28% and 20% in YSE for wheat in R100 and R50 under the CT system, respectively. Our findings show that crop residue removal decreases YSE under both CT and NT systems. However, given that this practice degrades soil quality and results in lower yields, it is not considered a sustainable management practice compared to residue retention options. This research highlights the importance of evaluating GHG mitigation strategies by concurrently considering both emissions and crop production. Nevertheless, it is essential to conduct off-site assessments of GHG emissions from crop residue application and also engage in long-term studies to comprehend the full potential of crop residue management on YSE.

Optimized tillage can enhance crop tolerance to extreme weather events: Evidence from field experiments and meta-analysis

The frequency of droughts and floods has increased due to climate change and human activities, leading to adverse impacts on agricultural production. Conventional tillage exacerbates the vulnerability of crops to extreme weather. Optimized tillage practices can maintain crop yield stability by increasing soil water-holding capacity during dry seasons and improving crop lodging resistance during heavy rainfall events. The effects of tillage practice under different rainfall types on the productivity of summer maize were studied by combining a five-year field experiment and a meta-analysis. The study tested four tillage treatments: conventional tillage (CT), no-tillage (NT), ridge cultivation with no-tillage (RNT), and winter wheat conventional tillage followed by summer maize no-tillage (NC). Normal rainfall years (2018, 2019 and 2021), a wet year (2020), and a drought year (2022) were experienced during the experiment. Compared to CT, NC significantly increased available soil water storage during the dry season by an average of 19.7 % (P < 0.05). NC and RNT had lower lodging rates during the wet year than CT, and over the five years, NC had a higher average maize yield (9.8 t ha−1) than RNT, while RNT had a higher yield during the wet year (10.7 t ha−1). NC also had significantly higher yield stability than CT. Furthermore, NC and RNT had higher rainwater use efficiencies (RUE) (23.9 and 23.0 kg ha−1 mm−1, respectively) than NT and CT (22.9 and 21.6 kg ha−1 mm−1, respectively). A meta-analysis showed that the crop yield under combined tillage (COT) was significantly higher than CT and NT by 6.7 % and 7.1 %, respectively, confirming the reliability and universality of the field experiment results. Overall, NC rotation is recommended as the best tillage system for sustainable crop production under semi-arid conditions, while RNT can be used in areas with abundant rainfall and prone to flooding. Our research findings offer evidence-based insights into management strategies that can enhance agricultural ecosystem resilience and production stability under extreme climate conditions.

Unmanned-Aerial-Vehicle Data as an Effective Tool for the Evaluation of Ancient Khorasan and Modern Kabot Spring Wheat Varieties under Different Tillage Systems

With the changing climate, there is an increasing emphasis on drought-resistant varieties, including the ability to maintain quality production. As there is also interest in ancient wheat varieties, the aim of this study was to evaluate the growth parameters of the ancient Khorasan (Kamut®) and modern Kabot spring wheat varieties using remote sensing data. Images from unmanned aerial vehicles during four growing seasons were processed. Based on vegetation indices, the growth of these varieties and their response to meteorological conditions were evaluated, as well as the ability to resist drought and higher temperatures with respect to specific soil conditions under conventional (CT), minimum (MTC), and minimization (MTD) tillage systems. It was found that Khorasan had the lowest values of the vegetation indices on the CT variant in the dry years 2022 and 2023. On the contrary, in the previous wet years, 2020 and 2021, both varieties showed similar results. Regarding water stress, the CT variant was also the least suitable for ancient Khorasan (average Crop Water Stress Index = CWSI = 0.38). On the contrary, this variant seems to be suitable for the modern Kabot variety (CWSI = 0.29), while no significant difference between tillage variants was found for this variety. In general, water stress was easily detectable from the observed parameters in the growth phase of stem elongation (R2 up to 0.88). Regarding the individual methods of tillage and water stress, the ancient variety Khorasan performed the worst with the CT variant. MTD appeared to be the best tillage method for Khorasan cultivation in terms of water management.

Assessment of Sesame Farmers’ Perception and Adaptation Strategy to Climate Change in Machina Local Government Area, of Yobe State, Nigeria

The study was conducted to assess sesame farmers’ perception and adaptive measures to climate change in Machina Local Government area of Yobe State, Nigeria. The data was collected from randomly sampled 63 sesame farmers in the study area. Descriptive statistics and Likert scale tools were used to analyze the collected data. The results’ findings show that sesame production is dominated by married male farmers (92.1%) that have an average age of 42 years, farm size average of 1.14 hectares, and an average farming experience of 15 years in the study area. The farmers were also found to have a household size average of 11 members; as well majority of them were found to have formal education ranging from Primary (31%), secondary (28%) and tertiary education (20%). The study findings further revealed farmers in the study area strongly agreed to perceive climate change majorly through an observed change in pattern of temperature (61.9%), and change in the pattern of temperature (46%). Meanwhile, climate change adaptive strategies used by farmers were majorly increased soil water conservation (3.17), use of chemicals, fertilizers, manure and pesticides (2.65) and using different tillage systems (2.52). The sesame farmers faced challenges of inadequate capital (69.8%), pest and disease attack (55.6%) as well as high cost of production inputs (54%). It can therefore be recommended that inputs subsidies and training on early warning systems of climate change shall be given to the farmers so as to improve their control measures to climate change.