Planting Patterns Research Articles

A global comparison of surface and subsurface microbiomes reveals large-scale biodiversity gradients, and a marine-terrestrial divide.

Subsurface environments are among Earth's largest habitats for microbial life. Yet, until recently, we lacked adequate data to accurately differentiate between globally distributed marine and terrestrial surface and subsurface microbiomes. Here, we analyzed 478 archaeal and 964 bacterial metabarcoding datasets and 147 metagenomes from diverse and widely distributed environments. Microbial diversity is similar in marine and terrestrial microbiomes at local to global scales. However, community composition greatly differs between sea and land, corroborating a phylogenetic divide that mirrors patterns in plant and animal diversity. In contrast, community composition overlaps between surface to subsurface environments supporting a diversity continuum rather than a discrete subsurface biosphere. Differences in microbial life thus seem greater between land and sea than between surface and subsurface. Diversity of terrestrial microbiomes decreases with depth, while marine subsurface diversity and phylogenetic distance to cultured isolates rivals or exceeds that of surface environments. We identify distinct microbial community compositions but similar microbial diversity for Earth's subsurface and surface environments.

Phenological indicators of resources offered to leaf herbivores in restinga communities.

Plants can limit the leaf tissue consumed by insect herbivores through chemical, structural, and nutritional leaf defenses or by escaping in space and time. Escaping is related to the phenological patterns of plants, which in turn respond to climatic factors. This study evaluated leaf production in a coastal plant community in southern Brazil to test the following hypotheses: (1) Leaves are continuously produced in this ecosystem, and (2) synchrony acts as an escape strategy from herbivory. We evaluated leaf production patterns of 20 herbaceous, shrub, and tree species for 2 years using the Fournier index then measured leaf consumption in the second year. The Rayleigh test was used to verify the synchrony of phenological events. Correlations between leaf production and climatic factors and between leaf production synchrony and herbivory were analyzed. New leaves were continuously produced at the plant community scale, but herbaceous and shrub species showed a phenological pattern distinct from that of tree species. Trees had peaks of synchrony in leaf production that were positively correlated with amount of leaf tissue consumed, refuting the hypothesis that synchrony acts as an escape strategy. The phenological and herbivory patterns in this plant community may be due to the supply of resources in the soil and the composition of the insect community.

The effect of Torreya grandis inter-cropping with Polygonatum sibiricum on soil microbial community.

Inter-cropping is a reasonable planting pattern between different plants. Inter-cropping of Torreya grandis with Polygonatum sibiricum is a relatively mature planting pattern in China, which has been applied to improve soil ecological environment and reduce the occurrence of pests and diseases in China. However, there is currently limited knowledge on the response of soil microbial communities to this practice. In this study, we employed Illumina MiSeq sequencing coupled with Functional Annotation of Prokaryotic Taxa (FAPROTAX) and Fungi Functional Guild (FUNGuild) analyses to investigate the dynamic changes in soil microbial communities across seven treated groups [the bulk soil of the T. grandis inter-cropping with P. sibiricum (IB), the bulk soil for mono-cropping of P. sibiricum (PB), the bulk soil for mono-cropping of T. grandis (TB), the P. grandis rhizosphere soil of the T. grandis inter-cropping with P. sibiricum (IPR), the rhizosphere soil for mono-cropping of P. sibiricum (PR), the T. grandis rhizosphere soil of the T. grandis inter-cropping with P. sibiricum (ITR), and the rhizosphere soil for mono-cropping of T. grandis (TR)]. The results showed that the rhizosphere soil of Torreya-Polygonatum inter-cropping exhibited higher microbial community richness, diversity and evenness than mono-cropping (ITR > TR, IPR > PR). Inter-cropping increased the abundance of Micrococcaceae, Xanthobacteraceae, Saitozyma, while decreased Bacillus, Burkholderia, Streptomyces, Cladosporium, and Gibberella significantly of the rhizosphere soil of T. grandis. Further, the abundance of pathogens, such as Fusarium and Neocosmospora, was higher in mono-cropping samples compared to inter-cropping. There existed distinct variations in bacterial and fungal communities among all groups except for IB and TB. The FAPROTAX and FUNGuild analyses results indicated that inter-cropping significantly enhanced soil microbial function associated with nutrient cycling and exhibited a consistent increase in the relative abundance of nitrogen-cycling and carbon-cycling bacteria, and decreased the abundance of plant pathogen guild in the inter-cropping sample ITR compared to the mono-cropping TR. Our findings suggest that T. grandis inter-cropping with P. sibiricum not only enhance the diversity of soil microbial communities, but also improve the nitrogen and carbon cycling functions. In addition, the inter-cropping can effectively reduce the relative abundance of some soil-borne pathogens for T. grandis and P. sibiricum, indicating that this intercropping method may alleviate the impact of pathogens on crops, thus providing assistance for plant disease prevention and sustainable management.

Chromatographic’s image analysis in phytohomeopathies

Plants signal when establishing interaction with homeopathies in different succussions, however, the type of signaling is not always understandable. Recognizing symptomatic patterns in plants begins by understanding the behavior of homeopathy itself, through varied methods, widely disseminated in scientific literature¹. The present study proposes a new thin-layer chromatography (TLC) analysis method to identify patterns in different phytohomeopathic applications. CCDs were made on Sulfur 9Ch, Nux and Bell 11CH; Calc Ph 29CH; Bry and Cal Carb 30CH; Hyp 50CH; Mag Ph 200CH and Graph Nat 200CH. The analysis of the chromatographic stains was developed with ultraviolet light and the images were analyzed using the Fast Fourier Transform (FFT) method². The statistical design, ANOVA, consisted of 5 completely randomized, double-blind replications for each of the preparations. The results showed significant differences after a few minutes of chromatography, highlighting the order of signals between homeopathies: Bell < Sulph < Mag Ph < Graph Nat < Hyp < Bry < Calc Ph < Cal Carb < Nux. From these results, it is possible to identify phytohomeopathic’ signs and symptoms during the course of the treatment.

Impact of homologous overexpression of PR10a gene on improving salt stress tolerance in transgenic Solanum tuberosum

Abiotic stresses severely affected crop productivity and considered to be a major yield limiting factor for crop plant. The tolerance to these stresses is a very complex phenomenon involving a wide array of molecular, biochemical and physiological changes in plant cells. Therefore, it is challenging to understand the molecular basis of abiotic stress tolerance to manipulate it for improving abiotic stress tolerance of major crops. Biotechnological approaches and genetic engineering including homologous gene overexpression can be implemented to understand gene functions under well-defined conditions. The Pathogenesis-related proteins (PR10) such as PR10a play multiple roles in biotic and abiotic stress tolerance and, hence, plant development. A PR10a gene from potato cv. Deseree was introduced into three cultivars of potato (Solanum tuberosum L.) by Agrobacterium tumefaciens-mediated genetic transformation. Transgenic plants were selected on a medium containing 1.0 mg/l phosphinothricin (PPT) and confirmed by polymerase chain reaction (PCR), herbicide (BASTA®) leaf paint assay, and Real-Time- quantitative PCR analyses (qPCR). All of the selected transformants showed completely tolerance to the application of PPT application. Experiments designed for testing salt tolerance revealed that there was enhanced salt tolerance of the transgenic lines in vitro in terms of morphological (plant FW, plant DW and plant height) and antioxidant activates as compared to the non-transgenic control plants. qRT-PCR showed that the expression of PR10a gene in the transgenic potato is higher than that in non-transgenic control under salt stress. The relative PR10a gene-expression patterns in the transgenic plants shed lights into the molecular response of homologues overexpressed PR10a potato to salt-stress conditions. The obtained results provide insights on the fact that PR10a plays a major role regarding salt stress tolerance in potato plants

Assessing Agroforestry Impact on Household Income: A Study of the Bu’u Bei Community Forest (HKm) in Tina Bani Village, Ende, Indonesia

Agroforestry systems play a critical role in supporting livelihoods across East Nusa Tenggara, including in the Bu'u Bei Community Forest (HKm) in Tina Bani Village, Ende District, Ende Regency, Indonesia. This study investigates agroforestry patterns and evaluates their contribution to household income among the 47 HKm member households, surveyed through a census in April and May 2024. Employing both descriptive and quantitative analyses, our research reveals that the agrisilviculture system, characterised by a random mixed planting pattern, dominates agroforestry practices in the village. Path dependency, rooted in long-standing traditions, significantly shapes these practices. Agroforestry contributed significantly to household income in 2023, accounting for 98.87% of total income. However, poor infrastructure, particularly damaged roads, limits market access and reduces the economic potential of these systems. The study emphasises the need for integrated land management approaches that address infrastructure deficits while strengthening the resilience of agroforestry systems. This research provides critical insights into the socio-economic and environmental roles of agroforestry, offering a valuable reference for policymakers and stakeholders committed to promoting sustainable forest management and rural development in Indonesia.

Metabolomic and transcriptomic analysis of Panax Notoginseng root: Mechanistic insights into the effects of flower bud removal on yield and phytochemical composition

The roots of Panax notoginseng (Burk.) F. H. Chen are used to treat organ damage and cardiovascular diseases in several East Asian countries. The removal of floral buds before inflorescence formation is widely employed to increase rhizome yield in the cultivation of Panax notoginseng. However, the molecular mechanisms regulating the growth and the accumulation of secondary metabolites remain unclear. We find that after the removal of flower buds, the root biomass accumulated in three-year-old Panax notoginseng after growing for four months increased by 27 %. Comparative transcriptomic and metabolomic analyses revealed that disbudding promoted the conversion of small molecule sugars to polysaccharides by regulating the expression of genes in the glycogen metabolism (GLG) family. It facilitated the accumulation of metabolites in the 2-C-methyl-D-erythritol 4-phosphate (MEP) pathway by upregulating the expression of isoprenoid synthase (ISP) family genes and inhibited the conversion from the tricarboxylic acid (TCA) cycle to the mevalonate (MVA) pathway by downregulating the expression of acetyl-CoA acetyltransferase (ACAT) family genes. At the same time, the total content of triterpene saponins, main active ingredients, basically remained unchanged. However, the content of intermediate saponins increased after the upregulation of cytochrome P450 monooxygenase (CYP) transcripts, while that of downstream saponins decreased after the downregulation of UDP-glucuronosyltransferase (UGT) transcripts. Additionally, scanning electron microscopy (SEM) observations of root cross-sections indicated that the disbudding potentially promoted the development of the primary root cortex and epidermis by regulating auxin-cytokinin (AUX-CTK) signaling, thus alleviating xylem cavitation. This study confirms the removal of flower buds as an effective way to enhance yield of Panax notoginseng, offering new insights into the basic mechanisms of growth regulation during plant reproductive development and providing valuable reference for studying metabolite accumulation patterns in Panax notoginseng and other medicinal plants in the Panax genus.

A novel method combining strata movement and UAV infrared remote sensing technology to evaluate mining ground damage

Mining-induced ground fissures are common problems associated with mining damage in shallowly buried coal seams in the western mining area of China. To evaluate the surface mining damage of the 12203 working face of the Huojitu Colliery in Shendong mining area, low-altitude infrared aerial surveys were conducted on the ground at the static fissure area (O-A1) and the dynamic fissure area (O-A2) of the working face. The temperature evolution patterns of fissures, sand and plants in the infrared images were analysed. The relationship between overburden fractures and surface fissure temperature was revealed, and the influence range and temperature self-healing period of the surface affected by underground mining were determined. The results indicated that underground mining could lead to a decrease in the ground temperature above the working face. The surface temperature evolution can be divided into three zones: a temperature stabilization zone before mining, a temperature cooling zone during mining, and a temperature recovery zone after mining. The temperature of sand and plants above the working face exhibited quadratic curve changes in O-A1 and O-A2, respectively. The length of the temperature reduction zone affected by mining is 40 m in O-A2, and 46.8 m in O-A1. The temperature recovery periods of ground fissures in O-A1 and O-A2 were 4.0 and 4.6 d, respectively. These findings could provide a basis for evaluating mining ground damage.

Pollinator functional group abundance and floral heterogeneity in an agroecological context affect mating patterns in a self-incompatible wild plant.

Restoration of seminatural field margins can elevate pollinator activity. However, how they support wild plant gene flow through interactions between pollinators and spatiotemporal gradients in floral resources remains largely unknown. Using a farm-scale experiment, we tested how mating outcomes (expected heterozygosity and paternity correlation) of the wild, self-incompatible plant Cyanus segetum transplanted into field margins (sown wildflower or grass-legume strips) were affected by the abundance of different pollinator functional groups (defined by species traits). We also investigated how the maternal plant attractiveness, conspecific pollen donor density, and heterospecific floral richness and density interacted with pollinator functional group abundance to modulate C. segetum mating outcomes. Multiple paternity increased (=lower paternity correlation) with greater local abundance of hoverflies (syrphids) and female medium-sized wild bees (albeit the latter's effect diminished with decreasing maternal plant attractiveness), and the presence of male bumblebees (Bombus) under low local floral richness. Cyanus segetum progeny genetic diversity increased with male Bombus presence but decreased with greater abundance of syrphids and honey bees (Apis mellifera). Overall, field margins supported plant-pollinator interactions ensuring multiple paternity and conservation of allelic diversity in C. segetum progeny. The contribution to plant mating outcomes of different pollinator functional groups was dictated by their local abundance or traits affecting pollen transfer efficiency. The local floral richness or maternal plant attractiveness sometimes modulated these relationships. This complex response of wild plant mating patterns to community interactions has implications for the use of field margins to restore functional pollination systems in farmed landscapes.

Luciferase-mediated assay to detect the PAMP-triggered gene expression in transgenic Nicotiana benthamiana

ABSTRACT Luciferase is one of the bioluminescence-producing agents, which was widely used as a reporter enzyme for constructing bioassay systems to study gene expression with high accuracy and within a broad dynamic spectrum. Perception of pathogen associated molecular patterns (PAMPs) in plants often lead to significant transcriptional changes. The transcriptional changes of defense-related genes are often used as a marker to assay PAMP-triggered plant immune response. In this study, we showed that the marker gene CYP71D20 was rapidly activated in Nicotiana benthamiana upon treatment with the bacterial PAMP flg22 and the Phytophthora elicitin INF1. In addition, we generated transgenic N. benthamiana using the luciferase as a reporter gene to analyze CYP71D20 gene expression upon PAMP treatment. The transgenic line carrying the luciferase gene driven by CYP71D20 promoter was treated with the bacterial PAMP flg22 or Phytophthora elicitin INF1. Transcriptional activation of CYP71D20 was measured by monitoring the luciferase activity. The results showed that the LUC activity was increased after treatment with different PAMPs, indicating that the CYP71D20-promotor luciferase assay can be used to study the PAMP-triggered gene expression in N. benthamiana.

ANALISIS KETERSEDIAAN DAN KEBUTUHAN AIR UNTUK IRIGASI PASANG SURUT DESA KARANG BARU KECAMATAN SUMBER MARGA TELANG

Area is located in Karang Baru Village with an area of 2,100 ha. The Tidal Irrigation Channel is used to irrigate rice fields in Karang Baru Village. The source of irrigation water comes from the Musi River which has an impact on sea tides. The aim of this research is to determine the availability of water for tidal irrigation in Karang Baru Village, to determine the need for tidal irrigation water according to irrigation planting patterns. Primary data is data taken in the form of planting pattern data and the type of rice used, secondary data is rainfall data and climatology data. Evapotranspiration calculations use the Penman method and water availability calculations use F.J. Mock. After calculating water availability for tidal irrigation in Karang Baru Village using the F.J Mock method, the largest value occurred in March at 0.89 m3/second, while the smallest value occurred in July at 0.01 m3/second. The need for tidal irrigation water in Karang Baru Village during land preparation, the maximum water need occurs in October at 0.0061 m3/second, for water layer changes the maximum occurs in November at 0.0041 m3/second.

Large Scale Farm Scene Modeling from Remote Sensing Imagery

In this paper we propose a scalable framework for large-scale farm scene modeling that utilizes remote sensing data, specifically satellite images. Our approach begins by accurately extracting and categorizing the distributions of various scene elements from satellite images into four distinct layers: fields, trees, roads, and grasslands. For each layer, we introduce a set of controllable Parametric Layout Models (PLMs). These models are capable of learning layout parameters from satellite images, enabling them to generate complex, large-scale farm scenes that closely reproduce reality across multiple scales. Additionally, our framework provides intuitive control for users to adjust layout parameters to simulate different stages of crop growth and planting patterns. This adaptability makes our model an excellent tool for graphics and virtual reality applications. Experimental results demonstrate that our approach can rapidly generate a variety of realistic and highly detailed farm scenes with minimal inputs.

Exploring the Vegetation Characteristics of Karst Landscapes: A Study of Community Forest in Tubokarto Village, Wonogiri, Indonesia

Karst landscapes are characterized by unique relief and drainage patterns, which influence the types of vegetation that can inhabit these environments. Vegetation in karst ecosystems plays a crucial role in groundwater filtration. Plant species diversity within these communities contributes to structural variations across different habitats. This study evaluates the potential of vegetation in community forests in Tubokarto Village, Wonogiri Regency, by analyzing species composition and vegetation. Using a purposive sampling method, we selected areas with polyculture planting patterns and agroforestry, applying a sampling intensity of 2.2% with 20 × 100 m strip plots. The results showed that the species composition at the location consisted of 18 species in 7 families. The stand density for trees is 221 ind ha–1, poles 436 ind ha–1, saplings 1,144 ind ha–1, and seedlings 2,650 ind ha–1. Tectona grandis emerged as the dominant species, with the highest Importance Value Index (IVI) values: 142.79 at the tree level, 212.48 for poles, 197.84 for saplings, and 122.29 for seedlings. Species diversity indices were 1.53 for trees, 0.97 for poles, 1.36 for saplings, and 1.21 for seedlings. The species richness index showed values of 2.79 for trees, 1.49 for poles, 1.21 for saplings, and 1.80 for seedlings, while the species evenness index ranged from 0.43 to 0.76. The vegetation structure of Tubokarto Village spans strata B and C, with tree diameter class distribution resembling that of natural forests. Environmental factors, including climate and soil composition, are likely influencing species growth patterns.

Asymmetric effects of planting pattern and density on leaf-height traits of Glycine max and Amaranthus retroflexus

Abstract Environmentally sustainable weed management is crucial to meet the increasing demand for food. Previous studies have demonstrated that improving spatial uniformity and planting density can effectively suppress weeds. However, research on how planting patterns (PPs) affect the functional traits of crops and weeds is limited. In 2019 and 2021, we conducted a field experiment to compare the functional traits and biomass of Glycine max and Amaranthus retroflexus in two PPs—row (R) and equidistant (E)—with varying combinations of G. max and A. retroflexus densities. We found that the EPP amplified the competitive ability of G. max in size-asymmetric competition with A. retroflexus, and this advantage increased alongside higher G. max density, primarily due to functional traits related to light acquisition. In the EPP, G. max established a closed canopy during the early growth stage, reducing light availability to A. retroflexus. This advantage was reflected in higher leaf area index (LAI) and leaf dry weight (LDW) for G. max in the EPP than in the RPP, while A. retroflexus experienced reduced LAI and plant height (PH) due to increased shading in the EPP. Consequently, the EPP enhanced the total biomass and yield of G. max by an average of 40.81% and 37.72%, respectively, while the biomass of A. retroflexus decreased by an average of 34.52% compared to the RPP. These results suggest that adopting an EPP with a high density of G. max, could be an effective strategy for suppressing A. retroflexus and improving crop yield.

Revealing How Human Activity and Native Plants Outshine Climate in Shaping New Invasive Alien Plant Elevational Patterns in Nature Reserves

ABSTRACTAimWe aim to investigate whether invasive alien plants introduced at different times exhibit variations in elevational distribution patterns and to explore the correlations of these patterns with climate, native plants and human activity.LocationGuangxi, China.MethodsWe recorded plant richness and cover across elevational gradients at 25–34 sites within each reserve, utilising 84–134 roadside plots per site. Using generalised linear mixed model (GLMM), we assessed the impacts of climate, native plants and human activity on the distributions of all, old and new invasive alien plants across the region and within the nature reserves.ResultsAt regional scales, the cover of all, new and old invasive alien plants decreased with increasing elevation, while only the richness of old invasive alien plants exhibited a similar pattern. Contrasting patterns were observed in Dayao Mountain, where the cover of old invasive alien plants decreased while the cover of new invasive alien plants increased. The richness patterns of all and new invasive alien plants were opposite between Dayao Mountain and Yachang Orchid. Moreover, native plant richness was negatively correlated with the richness of invasive alien plants, while interference intensity positively affected new invasive alien plants at both regional and reserve scales. At the regional scale, native plant richness accounted for 78.27%, 91.94% and 60.9% of all, old and new invasive alien plants respectively. Interference intensity accounted for 33.85% of the variation in new invasive alien plants. Annual mean temperature positively influenced the cover of all and old invasive alien plants at both regional and reserve scales, explaining 36.91% and 74.28% of their regional variation. Additionally, interference intensity and distance to human settlements positively impacted the cover of new invasive alien plants, contributing to 50.95% and 31.92% of their variation at regional scales.Main ConclusionThe distinct distribution patterns of old and new invasive alien plants highlight the significance of residence time in understanding their dynamics. Climate factors constrain the cover distribution of all and old invasive alien plants, whereas interference intensity and distance to settlements determine the distribution of new invasive alien plants. Notably, native plants play a vital role in preventing the establishment and spread of invasive alien plants within nature reserves, and their effectiveness increases with longer residence times. Our findings highlight the critical importance of minimising human interference and conserving native species for the effective management of invasive alien plants in nature reserves.

Effects of cotton peanut rotation on crop yield soil nutrients and microbial diversity

Background and Aims Cotton-peanut rotation is a sustainable farming practice that enhances land utilization and promotes the sustainable development of agriculture. Crop rotation can reduce the occurrence of pests and diseases, as different crops have varying levels of resistance to such threats. Additionally, by alternating the types of crops grown, the soil environment is changed, which can lead to the elimination of favorable conditions for pathogens and pests, thereby alleviating the impact of these issues. Furthermore, cotton-peanut rotation can improve soil fertility.To investigate the effects of different crop rotation systems on crop yield, soil nutrients, and soil microbial communities. Methods: Using high-throughput sequencing technology, investigate the soil microbial diversity in the root zone after cotton-peanut rotation.Various planting patterns, including cotton continuous cropping (MC), peanut continuous cropping (HC), peanut-cotton-peanut rotation (HR), and fallow (X), were established to assess variations in crop yield, soil nutrients, and soil microbial diversity. Results: Significant differences were observed in crop yield, soil nutrients, and soil microbial community structure among different planting patterns. The HR system significantly increased the output compared with the HC and MC systems. Additionally, HR exhibited significantly lower total nitrogen (N) and basic nitrogen (BN) contents than HC and MC, whereas MC showed lower total potassium (K) and available potassium (AK) contents. HR led to a decrease in soil bacterial diversity but an increase in fungal diversity, with Ascomycota and Mortierellomycota being dominant. Various bacteria (Chloroflexi, Bacteroidota, and Actinobacteriota) associated with organic matter degradation and nutrient cycling were found across different planting systems, enhancing material cycling efficiency. Furthermore, Planctomycetota bacteria related to crop nutrient synthesis and Glomeromycota bacteria aiding plant nutrient absorption were significantly higher in the MC system than in the HR or HC systems. Redundancy analysis indicated a significant negative correlation between crop rotation and soil fungal community, whereas Ascomycota exhibited a significant negative correlation with organic matter.Conclusion: Peanut-cotton rotation can mitigate soil nutrient loss, enhance beneficial microorganism diversity, suppress harmful bacterial populations, stabilize ecosystems, and boost crop yield.

Influence of tillage and rotation sequence on corn response and planting pattern

Plain Language SummaryCorn (Zea mays L.), cotton (Gossypium hirsutum L.), and peanut (Arachis hypogaea L.) are traditional crops grown in the southeast region of the United States. Row crop producers have adopted many strategies to reduce the presence of disease and parasitic nematodes among peanut. One management strategy that has not been considered is the potential use of twin‐row planting patterns compared to single‐row cropping systems under various tillage practices. The objective of this study is to determine if corn yield differs when comparing twin‐row and single‐row planting patterns when planted in various rotation sequences following corn, cotton, and peanut in continuous strip tillage or conventional tillage. Results indicated that corn yield increased as the length of rotation increased relative to peanut. Furthermore, the increase in the planting of cotton within the rotation also increased corn yield. The use of strip tillage increased corn yield compared to conventional. No significant yield increase was seen when comparing twin‐row to single‐row.

Soil biological health assessment based on nematode communities under maize and peanut intercropping

BackgroundCereal/legume intercropping can enhance crop productivity and improve soil health in dryland farming. However, little is known about soil biological health under maize/peanut intercropping. The aim of this study was to assess soil biological health based on nematode communities in a maize/peanut intercropping system.MethodsWe conducted a field experiment with different planting patterns, including monoculture maize (M), monoculture peanut (P), and maize intercropped with peanut (IM, intercropped maize; IP, intercropped peanut) to determine the influence on soil biological health. We measured soil physicochemical properties and nematode communities, and employed exploratory factor analysis combined with cumulative normal distribution curve scoring to identify potential soil biological health traits.ResultsThe intercropped maize gave the highest plant parasitic nematode abundance, trophic diversity index, evenness index, and structure index. The monoculture peanut gave the highest enrichment index and least plant parasitic nematode abundance, trophic diversity index, Shannon diversity index, evenness index, structure index, and channel index. We identified four soil biological health traits, including basic nutrients and biodiversity, food web complexity, slow energy channel, and fast energy channel, mainly represented by soil ammonium nitrogen and Shannon diversity index, structural index and omnivore-predator nematode abundance, fungivorous nematode abundance and plant parasitic nematode abundance, microbial biomass carbon and bacterivorous nematode abundance, respectively. The intercropping systems improved the comprehensive score of soil biological health, especially maize intercropping soil. Intercropping maize and intercropping peanut significantly improved oil biological health traits representing the food web complexity compared with the corresponding monoculture soils.ConclusionsOur results indicate that soil nematode and physicochemical indicators reflect different soil biological health traits. Among those traits, the improvement of basic nutrients and biodiversity and the complexity of the food web were the main reasons for improving soil biological health through the intercropping system.

Development of high-speed precision maize metering device for dense planting pattern with standard ridges.

This study proposed a high-speed precision dual-chamber maize metering device for the dense planting pattern with standard ridge promoted in China. Through theoretical analysis of the sowing process, parameters for the key components have been designed. The metering device is capable of planting two rows in a single pass for high-speed precision seeding. The effect of operating speed and negative pressure on seed metering quality was investigated. A high-speed camera was used to capture the trajectory of maize seed at different operating speeds, and it was found that intra-row shifts were caused by collisions at the mouth of the seed guide tube and rotation of the seed as it fell. Employing a two-factor, five-level orthogonal rotation test, Investigated the optimal operating parameters for the maize metering device. Response surface analysis showed that optimum seed metering quality was achieved at 14.2 km/h and 13.5 kPa. Validation tests showed a qualified rate of 97.93%, with a coefficient variation of 8.97% for this method. Additionally, an energy consumption analysis indicated a reduction in operating energy consumption of approximately 32% compared to conventional air suction seed metering devices for dense planting with large ridges on the same area of farmland. This study provides insights for reducing energy consumption in the seeding process, contributing to the sustainable development of agricultural resources.

Plant pattern recognition receptors: from evolutionary insight to engineering.

The plant immune system relies on germline-encoded pattern recognition receptors (PRRs) that sense foreign and plant-derived molecular patterns, and signal health threats. Genomic and pangenomic data sets provide valuable insights into the evolution of PRRs and their molecular triggers, which is furthering our understanding of plant-pathogen co-evolution and convergent evolution. Moreover, in silico and in vivo methods of PRR identification have accelerated the characterization of receptor-ligand complexes, and advances in protein structure prediction algorithms are revealing novel PRR sensor functions. Harnessing these recent advances to engineer PRRs presents an opportunity to enhance plant disease resistance against a broad spectrum of pathogens, enabling more sustainable agricultural practices. This Review summarizes both established and innovative approaches to leverage genomic data and translate resulting evolutionary insights into engineering PRR recognition specificities.