Treatment Plots Research Articles

Effect of frequent clearcutting on some soil properties, temperatures, and herbaceous vegetation and the potential of their recovery in a short time.

Harvesting or degradation of forest ecosystems directly affects the microclimate, causing changes in air and soil temperatures and soil moisture in the forestlands. The objectives of this study were to investigate the effect of frequent clearcutting of forest cover on some selected soil properties, ambient and soil temperatures, soil moisture, and herbaceous vegetation cover and determine their recovery in a short period in the area subject to frequent clearcutting under the powerline corridors (PLCs). The study was conducted in the research forest of Istanbul University-Cerrahpaşa, Faculty of Forestry. The treatment plots were selected from the clearcut area, and control plots were selected from an untouched oak-hornbeam forestland. Soil temperature and moisture and maximum and minimum ambient temperatures were measured in the treatment and control plots between 2020 and 2021 and topsoil sampled between 2019 and 2021. Data were analyzed using analysis of variance (ANOVA) to test the effects of clearcutting on some selected soil properties in the short term after cutting. Clearcutting caused a significant increase in soil bulk density (BD) and a decrease in the soil total porosity (TP), soil hydraulic conductivity (HC), and saturation capacity (SC). Forest cover removal significantly decreased the soil organic matter (SOM) content by 3%, increased average soil temperature by 2.1°C, and the difference between maximum and minimum temperatures by 8.8°C. Additionally, clearcutting reduced the average soil moisture from 36 to 35%. The findings revealed that clearcutting negatively affected some hydro-physical soil properties and soil microclimate conditions that may not recover to their previous states within the next few years.

Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana

Maize (Zea mays) is an important staple crop for food security in Sub-Saharan Africa. However, there is need to increase production to feed a growing population. In Ghana, this is mainly done by increasing acreage with adverse environmental consequences, rather than yield increment per unit area. Accurate prediction of maize yields and nutrient use efficiency in production is critical to making informed decisions toward economic and ecological sustainability. We trained the random forest machine learning algorithm to predict maize yield and agronomic efficiency in Ghana using soil, climate, environment, and management factors, including fertilizer application. We calibrated and evaluated the performance of the random forest machine learning algorithm using a 5 × 10-fold nested cross-validation approach. Data from 482 maize field trials consisting of 3136 georeferenced treatment plots conducted in Ghana from 1991 to 2020 were used to train the algorithm, identify important predictor variables, and quantify the uncertainties associated with the random forest predictions. The mean error, root mean squared error, model efficiency coefficient and 90 % prediction interval coverage probability were calculated. The results obtained on test data demonstrate good prediction performance for yield (MEC = 0.81) and moderate performance for agronomic efficiency (MEC = 0.63, 0.55 and 0.54 for AE-N, AE-P and AE-K, respectively). We found that climatic variables were less important predictors than soil variables for yield prediction, but temperature was of key importance to yield prediction and rainfall to agronomic efficiency. The developed random forest models provided a better understanding of the drivers of maize yield and agronomic efficiency in a tropical climate and an insight towards improving fertilizer recommendations for sustainable maize production and food security in Sub-Saharan Africa.

Tree richness increased biomass carbon sequestration and ecosystem stability of temperate forests in China: Interacted factors and implications

Biodiversity loss and forest degradation have received increasing attention worldwide, and their effects on forest biomass carbon storage and stability have not yet been well defined. This study examined 1275 tree plots using the field survey method to quantify the effects of tree diversity, tree sizes, and mycorrhizal symbiont abundance on biomass carbon storages (Cs) and NDVI (Normalized Difference Vegetation Index)-based ecosystem stability (standard deviation/mean NDVI = NDVI_S) during the field survey period from 2008 to 2018. Our data showed Cs and NDVI_S averaged at 31–108 t ha−1 and 32.04–49.28, respectively, and positive relations between Cs and NDVI_S were observed (p < 0.05). Large forest-type and regional variations were found in these two parameters. Broadleaf forests had 74% of Cs (p < 0.05) of the conifer forests, but no differences were in NDVI_S. Cold regions at high latitudes had 71% of NDVI_S in the warm regions at low latitudes, while no differences were in Cs. Moist regions at high longitudes had 2.04 and 1.28-fold higher Cs and NDVI_S (p < 0.05). The >700 m a.s.l. regions had 1.24-fold higher Cs (p < 0.01) than the <700 m a.s.l. regions, but similar NDVI_S (p > 0.05). Nature Reserves had 1.94-fold higher Cs but 30% lower NDVI_S than outside Reserves (p < 0.001). > 40-year-old forests had 1.3- and 2-fold higher Cs and NDVI_S than the young forests. Structural equation modeling and hierarchical partitioning revealed the driving paths responsible for these variations. Tree richness was positively associated with Cs and ecosystem stability, contributing 21.6%–30.6% to the total effects on them; tree sizes significantly promoted the Cs, but had negligible impacts on NDVI_S. MAT's total effects on NDVI_S of conifer forests were 40% higher than that of broadleaf forests, MAP's total effects on Cs varied with forest types; arbuscular mycorrhizal tree dominance exhibited a smaller positive impact on Cs and ecosystem stability in comparison to other factors. Our findings underscore that the significance of climatic-adapted forest management, diversity conservation, and big-sized tree protections can support the achievement of carbon neutrality in China from biomass carbon sequestration and ecosystem stability.

Effect of Different Fertilizer and Silicon Levels on Grain Quality of Maize (Zea mays L.)

A field experiment with spilt plot design was conducted to study the ‘effect of fertility and silicon levels on the nutritional quality of maize’ during Kharif 2022 and 2023 at Rajasthan College of Agriculture (RCA), MPUAT, Udaipur, Rajasthan, India. The main plot treatments consist of four levels of Compounded NPK fertilizer (F0: Control, F50: 50% RDF, F75: 75% RDF and F100: 100 % RDF) and the sub-plot treatments consist of four levels of soil application of Diatomaceous Earth (Si0, Si100, Si200 and Si300). Pratap Makka-9 of maize variety was used for research purpose. The protein content, protein yield, carbohydrate and energy in maize grain were higher under 100% RDF than other levels of fertilizer. Application of 300 kg Diatomaceous Earth per hectare recorded higher protein content, protein yield, carbohydrate and energy in maize grain over the rest of silicon levels. The crude fat in maize grain was lower in 100% RDF. Application of 300 kg Diatomaceous Earth per hectare recorded lower crude fat in maize grain. Significantly higher protein yield was recorded under the combined application of 100% RDF and 300 kg diatomaceous earth per hectare. However, protein yield was at par in the application of 75% RDF with 300 kg Diatomaceous Earth per hectare and 100% RDF with 200 kg Diatomaceous Earth per hectare. The lowest crude fat was recorded under the combined application of 100% RDF and 300 kg Diatomaceous Earth per hectare over the rest of treatment combinations. Application of 100% RDF with 300 kg DE ha-1 (F100Si300) was recommended treatment for nutritional high quality maize grain.

Tactics for Creating Tree Bank for Community Environment and Household Economy in Thailand

This article aimed to present strategies for creating a tree bank. Activities in tree bank plots for sustainable community environmental management and raising the household economy according to the new economic model were studied. The research area is a community that has successfully managed a tree bank and has been praised as a model in 3 regions, including 3 locations: Ban Tham Suea tree bank in Phetchaburi province, Khao Chakan agroforestry tree bank in Sa Kaeo province and Ban Khlong Ruea tree bank in Chumphon province. Data were collected through in-depth interviews. Group interviews were conducted and tree survey plots in the field were prepared. Committee members of the Tree Bank and representatives of the 3 Bank for Agriculture and Agricultural Cooperatives (BAAC), 11 people each, totaling 33 people were purposive sampling. Content analysis and the abundance of plant species were analyzed using the Menhinick (1964). The research results showed that the strategy for creating a tree bank involved group forming of household members with their own land by planting trees in agroforestry plots. The group acquire wood as an asset and use trees as collateral to guarantee loans from financial institutions that are guaranteed by the state. Environmental activities were organized by planting trees of at least 25 perennial trees per rai. 58 plant species as specified by the BAAC were chosen. Nourish the soil with compost made from scraps of leaves and branches. The richness index (R2) analysis showed that the abundance of tree species in all plots was at a high level (R2 =2.5-4.5). In terms of upgrading the household economy, knowledge of the production of firewood and burn charcoal, wood vinegar from trees, wood processing for house construction and furniture products was disseminated by the tree bank by organizing learning center and eco-tourism. Collaborative networks with organizations and educational institutions were built in order to use the tree bank for sustainable development.

Impact of Crop Establishment and Nutrient Management on Wheat Growth under Rice-Wheat System

The rice-wheat system contributes significantly to India's food security. The system's significance is properly handled from time to time, but excessive resource consumption, yield stagnation, environmental deterioration including erosion, and nutrient mining pose the greatest challenges. To address the issue, a research was conducted with objective to see the impact of crop establishment and nutrient management on growth parameters of wheat at Banaras Hindu University's Agricultural Research Farm in Varanasi during the 2019-20 Kharif and 2020-21 Rabi seasons, respectively. The experiment plotted in a split plot statistical design with three replications and four crop establishment methods: CE1: CTPTR-CTW, CE2: CTDSR)-CT wheat, CE3: CTDSR-ZTwheat (rice residue retained), and CE4: ZTDSR-ZT wheat (residue retention in rice and wheat) crop establishment method among the main plot treatments and nutrient management i.e. FP (N1), RFD (N2) and RWCM (N3) based nutrient recommendation among the sub plot treatments. Data recorded on growth parameters i.e. plant height, number of tillers and SPAD value at different stages are presented in this paper. CE4 treatment among main plot and N3 among nutrient management practices produced higher values of plant height, number of tillers at 30, 60, 90 days after sowing and at harvest as well as higher SPAD value at 30, 60 and 90 days after sowing than the other treatments. These results might be due to better nutrient availability, better organic carbon, which leads to improved microbial activity, and better moisture availability under these treatments. It may be concluded that conservation agriculture-based crop establishment i.e. CE4: Zero-till DSR-Zero-till wheat (residue retention in rice and wheat) and RWCM-based nutrient application, may be favourable for improved growth of the wheat crop under the region of eastern Uttar Pradesh.

Soil solarisation delivers near zero levels of Fusarium pseudograminearum in cereal crown rot reference sites

The development of commercial varieties that are resistant or tolerant to crown rot caused by Fusarium species is an important goal for cereal breeding programs internationally. Ideally, this research requires experimental sites that are initially free from Fusarium in order to establish treatment plots that compare growth in the presence and absence of these soil- and stubble-borne pathogens. Specifically, the assessment of tolerance requires control plots free of disease to determine the reduction in crop yield in plots where the disease is present. The ability of soil solarisation to reduce the background Fusarium pseudograminearum level occurring at experimental sites in comparison to current stubble management techniques was investigated across three field trials at Wellcamp in Queensland. Stubble from a susceptible durum (Triticum turgidum ssp. durum) cultivar inoculated with F. pseudograminearum was incorporated by cultivation into the trial sites to establish a significant background level of inoculum prior to the application of all subsequent treatment plots. In these trials, solarisation over a period of twelve weeks reduced the presence of F. pseudograminearum to low detection levels when compared to the traditional crown rot management techniques of cultivation or growth of the non-host cover crops mungbean (Vigna radiata) and soybean (Glycine max). No negative effects of solarisation were observed on a subsequent crop of bread wheat (Triticum aestivum), with significantly higher yields observed in the solarised treatments. Solarisation has the potential to deliver near zero level crown rot reference sites for experimental purposes in one short application between cropping seasons.

Fire exclusion alters forest evapotranspiration: A comprehensive water budget analysis in longleaf pine woodlands

AbstractForests are critical to water resources, but high evapotranspiration (ET) can reduce water yield. Thinning and prescribed fire reduce forest density and often reduce ET, promoting higher water yield. However, results from such treatments have been inconsistent, possibly because of unknown interactions among individual ET components. We compare water budget components of longleaf pine (Pinus palustris Mill.) woodlands with frequent prescribed fire to the water budget components of fire‐excluded stands. We hypothesized that fire exclusion would result in higher ET due to increased midstory transpiration (Et) and interception (Ei), and higher evaporation from litter (Ilitter). Reference plots were burned every two years while treatment plots had fire excluded for 15–20 years. Fire treatments were repeated in two sites representing a soil moisture gradient, noted as mesic and xeric. We measured woody Et using sap flux, and we modeled groundcover Et using physiological models. We measured Ei of canopy and groundcover layers, modeled Es litter biomass, and constructed a total component‐based water budget for each site and treatment. Compared with reference plots, midstory Et was 300%–800% higher in fire exclusion plots. Groundcover Et was ~80% less than reference treatments, countering the effects of midstory growth on total ET. Stand Ei followed similar trends, with groundcover Ei in reference plots countering the effects of midstory and litter Ei in fire exclusion plots. As expected, total ET in the xeric site was 18% higher in fire exclusion plots. However, ET in the mesic site was 16% lower in the fire exclusion plots due to high groundcover Et and Ei in reference plots. Thus, our results show that fire exclusion changes total forest ET, but the size and direction of the effect vary depending on the balance between midstory and groundcover transpiration and interception. These results highlight the importance of groundcover in ecosystem function in low‐density forests and may help explain inconsistent results from studies of water yields following thinning and fire. While prescribed fire is a valuable tool in forest management, we suggest that the effects of fire on ET are complex and require careful accounting of all water fluxes within a forest ecosystem.

Buckwheat as a companion plant in soybean fields: Implications for management of major pests

Abstract Many studies have explored the potential of companion plants to manage pests through top–down or bottom–up effects in agricultural fields. Buckwheat is known as a good candidate for companion planting with various crops to enhance pest management, but rarely in soybeans. We investigated the impact of planting buckwheat as a new companion plant on the population dynamics of major soybean pests and their natural enemies in soybean fields in Andong, Republic of Korea. We recorded numbers of pests and natural enemies at 9–10‐day intervals from 20 soybean plants each in eight small experimental fields throughout the cropping season. Significant reduction in pests, such as Riptortus pedestris (F.) (Hemiptera: Alydidae) adults, and a significant increase in natural enemies, such as Orius species (Hemiptera: Anthocoridae) and crab spiders (Araneae: Thomisidae), were observed in the buckwheat treatment plots. However, there were significant increases in other pests, such as leafminers and leafhoppers, in the buckwheat treatment plots. While we observed effects on R. pedestris adult density, we did not find significant effects on other developmental stages of this pest or its parasitoids. Although there were some concerns in the buckwheat treatment plots, the positive effects of buckwheat in soybean fields appear to outweigh the drawbacks. Buckwheat is likely a suitable companion plant for use in soybeans to manage pests.

Establishment of DRIS standards and sufficiency range for ‘nanica’ banana trees in Vale do Ribeira

For a banana tree to reach its productive potential, plants must be nutritionally balanced. Therefore, it is important to use methods that diagnose the nutritional status of plants through chemical leaf analysis, considering the relationships between nutrients and taking advantage of productivity and nutritional monitoring data from orchards. This study aimed to establish norms and ranges of nutrient sufficiency for ‘Nanica’ banana trees in Vale do Ribeira, São Paulo state, using the Diagnosis and Recommendation Integrated System (DRIS) method. Productivity data and chemical analysis of the leaf tissue of 291 commercial plots of Nanica banana trees, collected between 2015 and 2020 in Vale do Ribeira, were used. The DRIS method was used to establish norms and sufficiency ranges for N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn. Fruit yield did not correlate with the average nutritional balance index (NBIa), indicating that its variation was affected by non-nutritional factors. The contents of K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn showed high correlations with their respective nutritional indices. The sufficiency ranges and adequate nutrient contents differed from the values established for bananas in the literature.

Effect of Zinc Application on Growth, Yield, Zinc uptake and Zinc Use Indices of Rice

A field experiment was conducted at the agriculture farm, Palli Siksha Bhavana, Visva-Bharati, Birbhum, West Bengal, India during kharif (rainy) seasons (June–September) of 2016 and 2017 to study effect of zinc application on growth, yield and nutrient uptake of rice. The experiment was laid out in split plot design replicated thrice, consisting two main plot treatments i.e. crop establishment methods (CEMs) and seven sub-plot treatments (levels of zinc and methods of application). Two CEMs were direct seeded rice (DSR) and transplanted puddled rice (TPR) and seven levels of zinc and methods of application were namely control (Zn0), Seed coating of Zn @ 1250 mg kg-1 (Zn1), Seed coating of Zn @ 2500 mg kg-1 (Zn2), Seed coating of Zn @ 3750 mg kg-1 (Zn3), two foliar sprays @ 1050 mg kg-1 (Zn4), three foliar spray @ 1050 mg kg-1 (Zn5), 2500 mg kg-1 seed coating+2-foliar spray @ 1050 mg kg-1 (Zn6). In respect of yield attribute and yield, Zn6 resulted significantly highest number of Panicle m-2 as well as number of filled grains panicle-1. Zn3 though recorded 5.7% more grain yield than Zn6 but later Zn6 resulted highest zinc concentration and uptake. Zn1 recorded highest zinc use indices. Zn1 resulted much highest Zn use efficiency than foliar application and combined application of seed coating and foliar spray. Correlation between Zn levels and Zn concentration in both grain and straw of rice was highly positive; very highly positive correlation was recorded with the Zn levels and Zn uptake by both grain and straw.

Soil water consumption along the profile in response to soil water content variations in a black locust plantation with a rainfall exclusion in Loess Plateau

Soil drying is frequently observed in mature forests in water-limited regions, and poses a threat to sustainable development of the ecosystems. Herein, we assessed the effects of rainfall reduction on the water-use characteristics of a black locust (Robinia pseudoacacia) plantation in a sub-humid region of the Loess Plateau, China. Paired plots were established in the plantation, including a treatment with 30 % throughfall exclusion and a control. We comparatively investigated the dynamics of soil water content (SWC) throughout the profile in the two plots after four years of the treatment and determined the contribution of soil water storage (SWS) in each soil layer to water consumption according to the SWS budget. While SWC across the profile in the control plot showed general responses to replenishment and consumption under rainy and dry weather conditions, respectively, the treatment plot had smaller replenishment and consumption in deep layers, causing an aggravated deficiency in SWS and the formation of a temporary dried soil layer (DSL) at a depth of 55–100 cm. The cumulative decrement in SWS during each dry event (consecutive rainless days of ≥ 5-day duration) in the control plot was significantly correlated with SWC at 100–160 cm, suggesting a substantial contribution of water consumption from this layer. However, the treatment plot showed a major contribution to water consumption from the 0–100 cm soil layer during dry events. The vertical distribution of the root system supports these findings, which differed from our hypothesis that deep soil water would be used in response to reduced rainfall input. The distribution of fine root density in the treatment plot was relatively shallower (0–22 and 0–73.1 cm accounting for 50 % and 90 % of fine roots, respectively) than in the control plot (0–31.2 and 0–103.5 cm for corresponding values). These findings indicate that soil water deficiency resulted in the formation of DSL, which hindered water consumption and root development deeper in the soil profile. The severity and recovery of the DSL may be jointly determined by the vertical distribution of SWS and transpiration demand of the plantation. These findings provide insights for water resource management and sustainable development of the plantations in this region.

Optimizing Glutinous Corn Productivity through Demonstration Plots with the Application of Combined Organic Ameliorants

Sandy soil in Muncuk Karya, Ampenan, has low water retention and nutrient content, making it difficult for sticky rice farmers to meet their plants' water and nutrient needs. To overcome this challenge, research entitled "Optimizing Glutinous Corn Productivity through Demonstration Plots with the Application of Combined Organic Ameliorants" was carried out using an experimental methodology using a randomized block design involving five treatments and four replications, so that there were a total of 20 treatment plots. The treatments applied consisted of: A1 (50% cow manure + 50% mycorrhizal biofertilizer), A2 (50% compost + 50% mycorrhizal biofertilizer), A3 (50% fertile organic fertilizer + 50% mycorrhizal biofertilizer), A4 (50% rice husk charcoal + 50% mycorrhizal biofertilizer), and A5 (50% mixture of cow manure, compost, fertile organic fertilizer, and rice husk charcoal with a volume ratio of 1:1:1:1 + 50% mycorrhizal biofertilizer). The research results showed that the application of ameliorant, a combination of 50% cow manure and 50% mycorrhizal biofertilizer, was proven to be effective in increasing growth, plant productivity, soil nutrient concentration, plant nutrient uptake, and mycorrhizal development in the soil. To increase the productivity of sticky corn plants, soil fertility, plant nutrient uptake, and mycorrhiza development, it is recommended to use this combination ameliorant application.

Root parameters and water productivity of rice and wheat in a rice‒wheat cropping system as influenced by enriched compost and crop establishment methods

Food security worldwide is largely dependent on the rice–wheat cropping sequence (RWCS) Hence, a field study was carried out during 2018–19 and 2019–20 at ICAR-IARI, New Delhi, to determine the effect of various enriched organic sources and crop establishment methods on the root parameters, water productivity and yield of rice, its carryover effect on the succeeding wheat crop and the overall efficiency of system. A split plot design was used which involved two main plot treatments, viz., aerobic rice (AR) and conventional transplanted (CT) rice, and five subplot treatments, viz., T1: control (without fertilizer), T2: 100 % RDF (100 % fertilization by using inorganic sources), T3: 50 % phosphorus was applied by using P-enriched compost + 50 % P was applied by using DAP, T4: 50 % N was applied by using N-enriched compost + 50 % nitrogen was applied by using DAP and urea, and T5: 100 % organic fertilizer was applied (100 % fertilization by using N-enriched compost and P-enriched compost). After rice, wheat was grown in all the plots under uniform management practices. Among the nutrient sources, T4 had greater effects on root activity, system economic water productivity and system water productivity than did the other treatments. CT rice can be recommended under irrigated conditions with the integration of enriched compost and inorganic fertilizers. However, under rainfed conditions with less available water, aerobic rice can also be produced by combining enriched compost and inorganic fertilizer.

Population of Bemisia tabaci and Incidence of Yellow Disease in Chili Intercropped with Corn

Bemisia tabaci is one of the limiting factors in chili farming, because it can cause damage both directly and indirectly as a vector for the Pepper yellow leaf curl virus (PepYLCV). Intercropping chili with corn is one of the efforts to control B. tabaci. Physically, corn plants are able to withstand the presence of B. tabaci, in addition to producing volatile compounds that are repellent to B. tabaci. This research was conducted to determine the optimal age of corn plants to be intercropped with chili plants. The research was conducted in Pleret District, Bantul Regency by testing five different ages of corn: 2 weeks after planting, 6 weeks after planting, 8 weeks after planting, 10 weeks after planting and control (without intercropping with corn). Weeks after planting are counted from the first day the corn seeds were planted. Yellow sticky trap (YST) was used to determine the presence of B. tabaci population in each treatment plot. YST was tied to bamboo sticks and placed on treatment beds with as many as 2 (two) traps per treatment plot. The distance between the yellow sticky trap and the plant was 30 cm, so the height of the trap was always adjusted according to the height of the plant. Observation of B. tabaci population was carried out every 5 days by counting the number of B. tabaci caught in yellow sticky traps. The results showed that the population of B. tabaci in the chili plots intercropped with corn was lower than that in the control plot, especially at the age of 6 weeks after planting (WAP). However, the intercropping of chilies and corn had no significant effect on the incidence of yellow disease in chilies.

Temporal trends of polycyclic aromatic hydrocarbons in soils amended with sludge, compost, and manure in a Scotland pasture: An 8-year field experiment

To optimize the effective utilization of organic waste in agricultural practices, a comprehensive assessment of associated risks and benefits is crucial. This study investigated the impact of three types of organic wastes (sludge, compost, and manure) on polycyclic aromatic hydrocarbons (PAHs) in contaminated soil in a Scottish pasture. The experimental setup comprised 16 plots with four treatments (compost, manure, sludge, and inorganic fertilizer) and four replicates. After eight years of this study, notable disparities in ΣPAH16 concentrations were observed among the different treatments, with compost-amended soil at 378 μg kg−1, sludge-amended soil at 331 μg kg−1, and manure-amended soil at 223 μg kg−1. The concentrations of ΣPAH16 in soil amended with compost and sludge exhibited a linear increase with extended sampling time. Significant changes in ΣPAH16 concentration were evident in the compost treatment plot, with an increase of 20% in the first year and 82% in the eighth year. Risk assessment suggested a low level of health risk from exposure to PAHs at the measured concentrations in the three organic wastes. In conclusion, this study highlights the importance of considering the effects of organic waste amendments on soil PAH levels to make informed decisions in sustainable agricultural practices. It also underscores the need for ongoing research to fully understand the implications of different organic waste applications on soil health and environmental quality.

Evaluating the Influence of Different Agronomic Strategies on the Growth and Development of Maize (Zea mays L.) Grown in Rice Fallows of Northern Telangana Zone

Aims: To study the changes in plant height, dry matter production, leaf area and plant population under different tillage practices, irrigation and nitrogen levels in rice fallow maize. Study Design: Split- split plot design. Place and Duration of Study: Regional Agricultural Research Station farm, Polasa, Jagtial during rabi 2022-23 and 2023-24. Methodology: The experiment was laid out in split- split plot design with twelve treatment combinations that includes 2 main plot, 3 sub plot and 2 sub-sub plot treatments which are replicated thrice. The treatments are as follows: Main plots: T1- Zero tillage, T2- Conventional tillage (tillage with cultivator twice fb rotovator twice); Sub plots: I1- Irrigation at 60% ASM, I2- Irrigation at 40% ASM and I3- Irrigation at six critical stages; and Sub-sub plot treatments: N1- 100% RDN (240 kg ha-1) and N2- 120% RDN (288 kg ha-1). Results: Results indicated that highest mean plant height was recorded in conventional tillage (65.8, 204.4 &amp; 210.9 cm) and in N2 treatment (64.6, 201.3 &amp; 207.6 cm) during sixth leaf, silking and physiological maturity respectively. Irrigations showed non-significant effect during sixth leaf and during other two stages I3 treatment has recorded higher plant height (200.1 &amp; 206.6 cm). Similar results were obtained in case of leaf area. The mean dry weight was also higher in conventional tillage (17915 kg ha-1), I3 treatment (16789 kg ha-1) and N2 (16418 kg ha-1). The initial plant population was higher in conventional tillage (7.2 plants m-2) than that of zero tillage and irrigation &amp; nitrogen levels has no effect on population. Conclusion: All the growth parameters were significantly affected by tillage, irrigation and nitrogen levels at all the stages except the influence of irrigation on plant height at sixth leaf stage. Plant population was significantly affected by tillage but non-significant effect was recorded by irrigation an nitrogen levels. Interaction was found between irrigation and nitrogen levels in-case of dry matter production.

Biofortifying drought-tolerant rice: enhancing growth and nutritional quality with foliar iron and zinc applications in Eastern India

Micronutrient deficiencies in staple food crops pose a significant global health concern, especially in regions prone to drought. Agronomic biofortification offers a promising solution by enhancing the content of essential micronutrients. This study aims to identify efficient rice varieties for iron (Fe) and zinc (Zn) biofortification through foliar applications. A field experiment was carried out during kharif season in 2019 and 2020 with four drought-tolerant rice varieties (Swarna Shreya, Swarna Shakti Dhan, Sahbhagi Dhan, and DRR Dhan 42) were assessed under four foliar applications of Fe and Zn (control, 1% of Fe, 1% of Zn and combined 1% of Fe + 1% of Zn) at Indian Council of Agricultural Research-Research Complex for Eastern Region (ICAR-RCER), Patna. The highest grain yield of 5.65 t/ha was attained with the main plot treatment, Swarna Shreya variety, and in the subplot treatment, Fe + Zn foliar application resulted in a yield of 5.50 t/ha. The combined foliar application of Fe + Zn demonstrates the highest chlorophyll content and starch synthesis. Foliar application of combined Fe and Zn increased paddy grain Fe and Zn concentration by up to 30 and 16%, respectively, compared to the control. This finding is important for addressing micronutrient deficiencies in regions where rice is a dietary staple. Thus, Swarna Shreya, in combination with iron and zinc foliar application is a promising option for enhancing yield and fortifying grains in rainfed areas of eastern India.

Using Multi-Source National Forest Inventory Data for the Prediction of Tree Lists of Individual Stands for Long-Term Simulation

Forest resource maps and small area estimates have been produced by combining national forest inventory (NFI) field plot data, multispectral satellite images and numerical map data. We evaluated k-nearest neighbors (k-NN) method-based predictions of forest variables for pixels in predicting tree lists of individual stands, including tree diameters at breast height and tree heights and then calculated stem volumes and tree species proportions. We compared alternative parameters (k-NN) using k of either 1 or 5 according to preliminary plot-level study and applying either measured trees (1-NN_trees) or mean stand characteristics (k-NN_stand). In the 1-NN_trees method, a tree list was generated based on the measured trees of the NFI plots, whereas in the 1-NN_stand and 5-NN_stand methods, a Weibull-based diameter distribution was recovered from the stand characteristics of the same inventory plots. In both methods, tree lists were predicted for each 16 m × 16 m pixel included in the stand compartment. Both methods performed well and resulted in 8–14% differences in the total volume compared with the field inventory of the 27 stands used for the evaluation. Moreover, the main tree species was correctly predicted for 74% of cases. The RMSE in total volume ranged from 25% (5-NN_stand) to 31% (1-NN_stand), while the smallest RMSEs in volume by tree species were 61% for broadleaves and 65% for pine and spruce using the 5-NN_stand. When comparing input data for a long-term growth simulation, the choice of the method was less influential as the effect of the error in the initial stand characteristics decreased over time during the simulation period. After 30-year simulation of the inventoried stands, the respective RMSEs were 9.4% for total volume and 39%, 50% and 59% for tree species, respectively. The satellite-based data with NFI plots were useful for predicting tree lists for pixels of a stand. However, the accuracy for operational forest management was still questionable. For a larger area’s strategic information, the accuracy is considered adequate.

Arthropods Diversity Associated to Almond Cultivation (Prunus dulcis L.) in Tizi-Ouzou Region

Background: This study deals with the arthropods biodiversity restricted to almond tree plot located in Tafoughalt (Tizi-Ouzou, Algeria). The study of their diet makes it possible to identify the trophic categories in order to carry out a reasoned fight if necessary against harmful species. Methods: To do this, 03 capture methods (sweep net, Barber pots and colored traps) was used. The work is carried out from September 2021 to August 2022. Result: The captures allowed us to identify 108 species of arthropods divided into 05 classes (Arachnida, Crustacea, Myriapoda, Enthognata and Insecta), 16 orders and 54 families.The Coleoptera and Homoptera are the most important of which were with a relative frequency of 54.49% and 25.84% respectively using the sweep net. Coleoptera, Hymenoptera and Diptera are abundant in Barber pots, with a relative frequency equal to 29.38%; 25.05% and 19.36% respectively. Species belonging to the order Homoptera and Hymenoptera are the most counted in aerial yellow traps with a frequency of 26.17% and 25.5%, followed by Diptera and Coleoptera with 20.13% and 14.54%. The Shannon diversity index varied according to the sampling method; the values ranged between 3.38 bits for coloured traps, 3.34 bits for the Barber pots and 2.27 bits for the sweep net. According to the trophic status, the highest indices were recorded for phytophagous with 55% captured by sweep net, 45.07% for coloured traps and 39.68% for the Barber pots.