Main Crop Research Articles

Soil carbon dynamics effect on growth and yield of Lentil (Lens culinaris L.) with varying tillage practices

Heavy tillage practices to conserve moisture from monsoon rains are common in rainfed regions. Rainfed regions have wheat (Triticum aestivum) as a main crop while rest of the year minor crops are grown such as lentil. Heavy tillage practices not only destroyed the soil structure but also caused loss of carbon. This study was designed to investigate impact of different tillage practices on yield of lentil (Lens culinaris) and carbon dynamics. Three tillage practices were considered as: T1 = 6 cultivations (Control), T2 = moldboard plough + 2 cultivations, T3 = chisel plough + 2 cultivations. The experiment was conducted using a randomized complete block design with three replications to investigate the impact of tillage practices on carbon dioxide (CO2) emission, soil organic carbon (SOC), dissolved organic carbon (DOC), and the yield of lentil crop. Results indicated that during both the years (2018–2019), moldboard plough with 2 cultivations (T2) reduced CO2 emission (40.28%), DOC (22.58%) and SOC (51.07%) and increased lentil yield (56.39%) as compared to control. Results of soil carbon monitoring indicated that use of moldboard and chisel plough along with 2 cultivations before the onset of monsoon under rainfed conditions can reduce CO2 emission and improve the yield compared to conventional tillage practices. Results of the experiment suggest the farmers of the rainfed area that they should use moldboard and chisel plough along with 2 cultivations before the onset of monsoon so that CO2 emission can be minimized, and they can get more better yield compared to conventional tillage practices which causes loss of CO2 and nutrients.

Enhancing Agricultural Productivity in Egypt: The Impact of Scaling up The Use of Modern Agricultural Techniques on Main Crops

Enhancing Agricultural Productivity in Egypt: The Impact of Scaling up The Use of Modern Agricultural Techniques on Main Crops

Prospects and Challenges of Farming in Delhi: Evidences from the Field

The farmers in Delhi are invisible and vulnerable due to the ever-increasing urban character of the city and multifarious challenges in agriculture. The paper investigates the conditions of farming in Delhi with a primary survey of 300 farmers in two districts. The findings indicate that wheat and paddy are the main crops cultivated but only half of the sampled farmers cultivate in both the agricultural seasons. The farmers lack motivation to continue with farming due to rising costs, unremunerative prices, lack of procurement at MSP and lack of policy support in the form of requisite infrastructure and subsidies. It is time that agriculture in Delhi should be made a part of official discourse and public knowledge.

BnaC03.BIN2 regulates plant height by affecting the main inflorescence length and first effective branch height in Brassica napus L.

Rapeseed (Brassica napus L.) is one of the main oil crops in the world, and increasing its yield is of great significance for ensuring the safety of edible oil. Presently, improving rapeseed plant architecture is an effective way to increase rapeseed yield with higher planting density. However, the regulatory mechanism of rapeseed plant architecture is poorly understood. In this study, a dwarf rapeseed mutant dwarf08 (df08) is obtained by ethyl methane sulfonate (EMS)-mutagenesis. The decrease in plant height of df08 is mainly caused by the reduction in main inflorescence length and first effective branch height and controlled by a single semi-dominant gene. The hybrid plants (F1) show a semi-dwarf phenotype. Through map-based cloning and transgenic assay, we confirm that the nonsynonymous single nucleotide variant (SNV) (C to T) in BnaC03.BIN2, which is homologous with Arabidopsis (Arabidopsis thaliana) BIN2, is responsible for the dwarfism of df08. BnaC03.BIN2 interacts with BnaBZR1/BES1 and involves in brassinosteroids (BRs) signal transduction. Proline to Leucine substitution in 284 (P284L) enhances the protein stability of BnaC03.bin2-D, disrupts BRs signal transduction and affects the expression of genes regulating cell division, leading to dwarfism of df08. This study provides a new insight for the mechanism of rapeseed plant height regulation and creates an elite germplasm that can be used for genetic improvement of rapeseed architecture.

Fruit Anthracnose on Cavendish bananas Caused by Colletotrichum fructicola in Guangxi, China.

Cavendish banana (Musa spp. AAA group) is one of the main fruit crops worldwide. It is widely planted in Guangdong, Hainan, Guangxi, Fujian and Yunnan provinces in southern China. In November 2020, banana fruits with anthracnose symptoms were collected from Dayu Town (N 23.17°, E 109.80°), Guigang City, and Chengjun Town (N 22.60°, E 110.00°), Yulin City, Guangxi Province, China, where the disease was found on about 70% of the banana plants, and on individual fruit, up to 10% of the surface was covered with symptoms. The symptoms initially began with rust-colored spots on the surface of the immature fruit, which gradually became sunken and cracked as the disease progressed. Small tissues (5×5 mm) from the pericarp at the junction of disease and health were surface-disinfected in 75% ethanol for 10 s, 2% sodium hypochlorite (NaClO) for 1 min, and washed three times in sterile water. Tissue pieces were placed on potato dextrose ager (PDA) and incubated at 25°C. Fifty-nine morphologically similar colonies were obtained after 5 days of incubation, with 100% isolation frequency. Of 59 isolates, GG1-3 isolated from Guigang City and YL4-2 isolated from Yulin City were selected as representative strains for intensive study. Mycelia were off-white for both isolates and conidia obtained from PDA were cylindrical, unicellular, hyaline and obtuse ends, with sizes of 11.5 ± 1.8×3.9 ± 0.8 µm (n=60) and 11.5 ± 1.6×4.1 ± 0.6 µm (n=60) for GG1-3 and YL4-2, respectively (Prihastuti et al. 2009). Genomic DNA was extracted from 7-day-old aerial mycelia using a DNAsecure Plant Kit (Tiangen Biotech, China). The internal transcribed spacer (ITS), the intergenic region of apn2 and MAT1-2-1 (ApMAT) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were amplified and sequenced (White et al. 1990; Silva et al.2012; Templeton et al. 1992). Sequences were deposited in GenBank (ITS, OR596961 to OR596962; GAPDH, OR661771 to OR661772; APMAT, OR661773 to OR661774) and showed 100% identities with the corresponding type strains sequences of C. fructicola. Phylogenetic tree was constructed with software raxmlGUI v.2.0.0 based on sequences of multiple loci (ITS, GAPDH and ApMAT) and Maximum Likelihood method. Phylogenetic analysis revealed that the two isolates and C. fructicola were clustered in the same clade, with 94% bootstrap support. According to morphology and phylogenetic analysis, the two isolates GG1-3 and YL4-2 were identified as C. fructicola. For pathogenicity tests, healthy fruits were surface sterilized with 75% ethanol followed by a wash with sterilized water. Five adjacent needle punctures in a 5-mm-diameter circle were made with a sterilized needle on healthy fruits, followed by inoculation with 20 μL of conidial suspension (106 spores/ml), and sterilized water was used as controls. All banana fruit were incubated in a humid chamber at 28°C. After 4 days, all inoculated fruits showed visible symptoms and had rust-colored spots on the margins, while control banana fruits remained symptomless. The fungus was isolated from the inoculated fruit and the isolates were found to match the morphological and molecular characteristics of the original isolates, confirming Koch's hypothesis. To our knowledge, this is the first report of fruit anthracnose on Cavendish bananas caused by C. fructicola in China. This study will provide valuable information for prevention and management of anthracnose on banana fruit.

Cereal-Legume Mixed Residue Addition Increases Yield and Reduces Soil Greenhouse Gas Emissions from Fertilized Winter Wheat in the North China Plain

Incorporating crop residues into the soil is an effective method for improving soil carbon sequestration, fertility, and crop productivity. Such potential benefits, however, may be offset if residue addition leads to a substantial increase in soil greenhouse gas (GHG) emissions. This study aimed to quantify the effect of different crop residues with varying C/N ratios and different nitrogen (N) fertilizers on GHG emissions, yield, and yield-scaled emissions (GHGI) in winter wheat. The field experiment was conducted during the 2018–2019 winter wheat season, comprising of four residue treatments (no residue, maize residue, soybean residue, and maize-soybean mixed residue) and four fertilizer treatments (control, urea, manure, and manure + urea). The experiment followed a randomized split-plot design, with N treatments as the main plot factor and crop residue treatments as the sub-plot factor. Except for the control, all N treatments received 150 kg N ha−1 season−1. The results showed that soils from all treatments acted as a net source of N2O and CO2 fluxes but as a net sink of CH4 fluxes. Soybean residue significantly increased soil N2O emissions, while mixed residue had the lowest N2O emissions among the three residues. However, all residue amendments significantly increased soil CO2 emissions. Furthermore, soybean and mixed residues significantly increased grain yield by 24% and 21%, respectively, compared to no residue amendment. Both soybean and mixed residues reduced GHGI by 25% compared to maize residue. Additionally, the urea and manure + urea treatments exhibited higher N2O emissions among the N treatments, but they contributed to significantly higher grain yields and resulted in lower GHGI. Moreover, crop residue incorporation significantly altered soil N dynamics. In soybean residue-amended soil, both NH4+ and NO3− concentrations were significantly higher (p < 0.05). Conversely, soil NO3− content was notably lower in the maize-soybean mixed residue amendment. Overall, our findings contribute to a comprehensive understanding of how different residue additions from different cropping systems influence soil N dynamics and GHG emissions, offering valuable insights into effective agroecosystems management for long-term food security and soil sustainability while mitigating GHG emissions.

The efficiency of chlorophyll fluorescence as a selection criterion for salinity and climate aridity tolerance in barley genotypes.

In the Near East and North Africa (NENA) region, crop production is being affected by various abiotic factors, including freshwater scarcity, climate, and soil salinity. As a result, farmers in this region are in search of salt-tolerant crops that can thrive in these harsh environments, using poor-quality groundwater. The main staple food crop for most of the countries in this region, Tunisia included, is barley. The present study was designed to investigate the sensitivity and tolerance of six distinct barley genotypes to aridity and salinity stresses in five different natural field environments by measuring their photosynthetic activity. The results revealed that tolerant genotypes were significantly less affected by these stress factors than sensitive genotypes. The genotypes that were more susceptible to salinity and aridity stress exhibited a significant decline in their photosynthetic activity. Additionally, the fluorescence yields in growth phases J, I, and P declined significantly in the order of humid environment (BEJ), semi-arid site (KAI), and arid environment (MED) and became more significant when salt stress was added through the use of saline water for irrigation. The stress adversely affected the quantum yield of primary photochemistry (φP0), the quantum yield of electron transport (φE0), and the efficiency by trapped excitation (ψ0) in the vulnerable barley genotypes. Moreover, the performance index (PI) of the photosystem II (PSII) was found to be the most distinguishing parameter among the genotypes tested. The PI of sensitive genotypes was adversely affected by aridity and salinity. The PI of ICARDA20 and Konouz decreased by approximately 18% and 33%, respectively, when irrigated with non-saline water. The reduction was even greater, reaching 39%, for both genotypes when irrigated with saline water. However, tolerant genotypes Souihli and Batini 100/1B were less impacted by these stress factors.The fluorescence study provided insights into the photosynthetic apparatus of barley genotypes under stress. It enabled reliable salinity tolerance screening. Furthermore, the study confirmed that the chlorophyll a fluorescence induction curve had an inflection point (step K) even before the onset of visible signs of stress, indicating physiological disturbances, making chlorophyll fluorescence an effective tool for identifying salinity tolerance in barley.

Temporal variability in water content, temperature, and electrical conductivity of sandy soil: Responses to soil-improving cropping systems (SICS)

There is little information on the effect of soil-improving cropping systems (SICS) on the temporal variability of soil volumetric water content (WC), temperature (T), soil temperature amplitude (A_T), and electrical conductivity (EC) in low-quality sandy soils although they are increasingly being used in agriculture. The objective of this study was to determine the effects of the following SICS: liming (L), leguminous catch crops for green manure (LU), farmyard manure (M), and liming + leguminous catch crops for green manure + farmyard manure together (LLUM), and the control (C) on temporal changes in the three properties simultaneously in a field experiment on sandy soil established in 2016 in Poland. The monitoring was performed using TEROS 12 sensors in the soil layers of 5–10, 20–25, and 30–35 cm from 25 April 2019–30 April 2020 with spring wheat as the main crop. The results showed that the average WC over the entire investigation period in the 5–10 cm layer was 0.206 m3 m–3 in the control and increased in the L, LU, M, and LLUM variants to 0.245, 0.219, 0.241, 0.262 m3 m–3, respectively. The highest WC was recorded in the LLUM system during most of the investigation period. The average T in the 5–10 cm layer increased in L, LU, and M by 0.221–0.262 °C and in LLUM by 0.052 °C. The average monthly soil temperature amplitudes in the soil layer 5–10 cm tended to be higher under all SICS vs. C except LLUM vs. C. The average EC in the 5–10 cm layer in variant C (0.066 mS cm–1) increased in the L, LU, M, and LLUM systems to 0.067, 0.090, 0.151, and 0.107 mS cm–1, respectively. The shapes of the temporal variability of WC and EC were similar in all SICSs, while the increase in the response to the combined effects of the SICSs and precipitation during the growing season was greater for the EC. The temporal variability of all soil properties in response to the SICSs and weather course and their averages declined with depth. The amplitudes of soil T in all treatments were lowest in the 30–35 cm layer. This study provides helpful information for the selection of the most suitable SICS in terms of soil properties influencing productivity and other soil functions.

Crop grey water footprints in China: The impact of pesticides on water pollution

Agricultural water pollution is a significant challenge in China, a rapidly growing economy with a large agricultural sector. The grey water footprint (WF) is a tool for evaluating freshwater pollution. It expresses pollution in volumetric units identifying the pollutant that theoretically needs most water to be diluted to accepted water quality standards. Previous agricultural grey WF studies focused on nitrogen (N) and phosphorus (P), some studies included pesticides. This study assesses grey WFs based on N, P and 1513 pesticide combinations for twelve main crops and two crop categories in 31 Chinese provinces. Grey WFs, including the pesticide component, are far larger than estimated before, dominating total agricultural WFs (green, blue, and grey). The total grey WF of Chinese agriculture (4,900 109 m3 year−1) is determined by pesticides, while grey WFs related to N and P are 450 and 1,500 109 m3 year−1, differences of a factor of eleven and three respectively. The provinces Heilongjiang, Inner Mongolia, Hebei, Henan, and Shandong are hotspots contributing 37 % to the total grey WF. A limited number of pesticides used for maize, vegetables, fruits and potato (Mancozeb a fungicide, Acetochlor a herbicide and Cypermethrin an insecticide) dominate total grey WFs, contributing 80 % to the total grey WF. Eliminating the most polluting pesticides per category and redistributing the remaining ones with a similar function but lower grey WFs reduces national water pollution from agriculture by 64 %. Only five crops, i.e. maize, potato, soybean, rice and wheat, and the two crop categories, vegetables and fruits, contribute 94 % to this reduction. Probably grey WFs could reduce even further with a second elimination and redistribution effort. This study is the first national grey WF assessment related to pesticides in agriculture. It offers valuable insights to farmers and policymakers to enhance water quality in China and beyond.

Changes in productive, socio-economic, and environmental performance of field crop farming in the Argentine Pampas, 2007–2018

This study fills important gaps in research by analyzing the evolution over time of productive, environmental, and socio-economic aspects of agricultural production in the Argentine Pampas, utilizing farm-level data. A longitudinal study was conducted to examine the changes that occurred in farming systems during the period 2007–2018. The study evaluated the changes in 30 farms, examining modifications in the structure and management of each farm, as well as in productive, economic, and environmental performance. Canonical correlation analysis was used to relate the changes that occurred in performance to farms' characteristics at the beginning of the study period. The results indicated that, among the farms that stayed in business, there were no significant changes in land tenure and the amount of labor employed. There was a significant increase in the average age of farmers by 7 years, along with a decrease in the percentage of farmers expecting growth, dropping from 70% to 42% over the period. Canonical correlation analysis revealed that smaller farms, with a higher number of workers at the beginning of the period, were more likely to expand their farming area during the analysis period. The findings also indicate a substantial turnover of producers, with leaving farms being succeeded by larger-scale operations. The yields of the main crops and the direct production costs increased by 16% and 48% respectively, during the period. The environmental indicators for the main crops present a mixed picture: soil organic carbon input increased by 12%, while environmental impact quotient decreased on average, by 6% for cereals but increased by 40% for soybeans, and nutrient imbalances rose. The significance of this study resides in its application of a comprehensive approach to analyze the transformation of farming systems over time.

Effects of Grain Sprout Fertilizer Application Rate on Yield and Its Composition of Hybrid Middle Rice–Ratoon Rice System

Enhancing yield and achieving environmental goals represent challenges for the future of agriculture. Rational nitrogen (N) management is one of the most promising ways to meet this challenge. However, complicated nitrogen management strategies and considerable input requirements still exist in rice–ratoon rice production. To address this issue, field experiments were conducted with two main high-yield rice crop genotypes and five fertilization treatments at six sites in Southwest China from 2018 to 2020. The results showed the following: (1) the yield of the main rice crop was extremely significantly affected by the year, location, and fertilization, but not by genotype; (2) the yield of the ratoon rice was extremely significantly affected by year, genotype, location, and fertilization; and (3) the total plant N content (TPN) and leaf SPAD value at the full heading stage of the main crop were significantly positively correlated with the total soil N content (TSN) and soil available N (SAN) content of the basic soil. The highly efficient N application rate of grain- and bud-promoting fertilizer for ratoon rice was 60–120 kg ha−1. The TSN, SAN, TPN, and SPAD values higher than 0.247 kg N kg−1, 298 mg N kg−1, 2.159 kg N kg−1, and 49.94 were, respectively, considered the reference values when not applying grain- and bud-promoting fertilizer. A regression equation was established to predict the amount of high-efficiency grain- and bud-promoting fertilizer based on the TSN and SPAD. Overall, the yield of rice–ratoon rice was significantly affected by year, genotype, location, fertilization, and their interactions. The use of the predicted grain- and bud-promoting fertilizer regression equation can achieve high yields under simplified and reduced N input practices in the rice–ratoon rice systems.

Wheat Yield Estimation Study Using Hyperspectral Vegetation Indices

Wheat is the main grain crop in our country, and the traditional wheat yield estimation method is time-consuming and laborious. By estimating wheat yield efficiently, quickly and non-destructively, agricultural producers can quickly obtain information about wheat yield, manage wheat fields more scientifically and accurately, and ensure national food security. Taking the Xinxiang Experimental Base of the Crop Science Research Institute, Chinese Academy of Agricultural Sciences as an example, hyperspectral data for the critical growth stages of wheat were pre-processed. A total of 27 vegetation indices were calculated from the experimental plots. These indices were then subjected to correlation analysis with measured wheat yield. Vegetation indices with Pearson correlation coefficients greater than 0.5 were selected. Five methods, including multiple linear regression, stepwise regression, principal component regression, neural networks and random forests, were used to construct wheat yield estimation models. Among the methods used, multiple linear regression, stepwise regression and the models developed using principal component analysis showed a lower modelling accuracy and validation precision. However, the neural network and random forest methods both achieved a modelling accuracy R2 greater than 0.6, with validation accuracy R2 values of 0.729 and 0.946, respectively. In addition, the random forest method had a lower cross-validation RMSE value, with values of 869.8 kg/hm−2, indicating a higher model accuracy. In summary, the random forest method provided the optimal estimation for wheat yield, enabling the timely and accurate pre-harvest wheat yield prediction, which has significant value for precision agriculture management and decision making.

Identification of Curvularia eragrostidis (Henn.) J.A.Mey. the Leaf Spot Pathogen of Oil Palm (Elaeis guineensis Jacq.) and It’s Control by False Elder (Peronema canescens Jack) Leaf Extract

Oil palm is the main vegetable oil-producing crop in Indonesia. Leaf spot disease is one of the major diseases that attacks oil palm seedlings at all seedling stages. In Indonesia, leaf spot disease in oil palm nurseries is most commonly caused by the genus Curvularia with an infection intensity of up to 60–70%. The control of leaf spot disease usually uses chemical fungicides but its continuous use can cause the development of resistant pathogen fungi and have a long-term negative impact on the environment. False elder (Peronema canescens Jack) leaves have bioactivity as an antimicrobial control disease caused by fungal infections. In this study, Curvularia was isolated from oil palm seedlings infected with leaf spot disease from oil palm nurseries in South Sumatra. Effectiveness testing of P. canescens leaves conducted by a Completely Randomized Design method with five treatments and three replications. The fungi that caused leaf spot disease in oil palm were identified as Curvularia eragrostidis. P. canescens leaf water extract at 25% concentration was very ineffective to quite effective in controlling disease severity based on the average number of spots and diameter of spots in oil palm with the values 36.25–59.50% and 12.50–27.78%. P. canescens leaf water extract could reduce the average number of spots and diameter of spots started on day 30 after being sprayed three times with P. canescens leaf water extract so that it could be used as an alternative to control C. eragrostidis leaf spot disease in oil palm that is more friendly to the environment.

Enhancing Cotton Production and Sustainability through Multi-Tier Cropping Systems: Growth, Efficiency, and Profitability Analysis

Intercropping presents an opportunity to optimise land use and resource efficiency in cotton cultivation, particularly for small and marginal farmers facing climate-related challenges and rising input costs. This study explores the potential of intercropping short-duration vegetables with cotton to transform this production system into a more economically viable and sustainable one. The study was conducted in the Cotton Department of Tamil Nadu Agricultural University in Coimbatore during the winter irrigated season, from August to January, in both 2020 and 2021. The growth, yield parameters, equivalent yield (3645 and 4234 kg ha−1), and net return (Rs. 123,434 ha−1 and Rs. 154,034 ha−1) were higher in the intercropping system with the paired row planting of Bt cotton with two rows of cluster bean. Upon comparing sole cropping and the paired row method of planting, it was found that adopting the paired row system of planting Bt cotton with two rows of cluster bean was highly profitable in all aspects of crop production. Therefore, the adoption of paired row cropping systems with compatible intercrops that promote synergistic effects on the main crop should be considered for enhancing overall productivity, as well as sustainability.

Effectiveness assessment of technical innovations in the implementation of the modern model of the agricultural sector of Ukraine

The agricultural sector of Ukraine requires fundamental changes to improve efficiency, rural development and sustainability, which is possible through the implementation of an innovative development model. The study aimed to assess the effectiveness of the introduction of one of the types of technical innovations - agricultural drones - in the agricultural production of Ukraine. The study uses the dialectical method of scientific cognition, analysis and synthesis, systematic generalisation, comparative analysis, rating method, and the mathematical method of calculation "solution optimisation" using Excel. The study analyses modern approaches to assessing the efficiency of individual processes, which helped to formulate its algorithm for calculating the efficiency of land cultivation using agricultural drones. At the first stage of the study, the technical advantages of agricultural drones were identified, which are manifested in increased labour productivity. The second stage of the study calculated the increase in the main crops (corn, wheat, sunflower, barley, soybeans, rapeseed, peas, buckwheat, and millet) that can be obtained as a result of the use of agricultural drones on a national scale. The third stage of the study yielded an indicator of the economic efficiency of introducing agricultural drones into agricultural production, as well as a forecast of the social and environmental effects. It is emphasised that state support for the Ukrainian production of agricultural drones in various forms (subsidies, preferential lending, leasing, etc.) will contribute to the development of innovative Ukrainian industry, which will positively affect the change in the sectoral structure of the national economy and significantly increase the country's gross domestic product. The following conclusions, suggestions and practical recommendations may be useful in developing relevant programmes and measures aimed at developing the agricultural sector of Ukraine.

Difference in Cd accumulation among varieties with different growth duration corresponding to typical agro-climate condition in rice ratooning system.

The ratoon rice planting area is gradually expanding, but there has been relatively little research on ratoon rice grains contaminated with Cd. In this study, five ratoon rice varieties were selected and divided into three groups according to early-maturity (growth duration: 100-110 days), mid-maturity (growth duration: 110-120 days) and late-maturity (growth duration: 120-130 days) varieties. Field experiments were done to study the differences in Cd accumulation among ratoon rice varieties with different growth duration. The results showed that the Cd accumulation and concentration of grains spikelet at each growth stage in the main crop were in the order of late-maturity > mid-maturity > early-maturity varieties. However, the trends in Cd concentration and accumulation in grains spikelet during the ratoon crop were the opposite. Analysis found that as the growth duration of the variety extended, the accumulated temperature and daily average temperature in the main crop increased, which significantly increased the translocation factors of Cd from root, stem, and leaf to grains spikelet, and increased the daily average Cd accumulation rate in grains spikelet. The daily average temperature in the ratoon crop increased as the growth duration shortened. The early-maturity variety had higher Cd accumulation in stubble, which promoted the translocation of Cd from the root, stem, and leaf of the plant to the grains spikelet. Therefore, appropriately shortening the growth duration of the main crop and extending the growth duration of the ratoon crop are important ways to reduce Cd accumulation in ratoon rice in areas with mild Cd pollution.

Studies on Pearl Millet-Based Intercropping System under Rainfed Condition of Coimbatore District, Tamil Nadu, India

Aim: The aim of the study is to ascertain the response of pearl millet under intercropping system with pulses and their ability to produce higher yield under intercropping conditions. Study Design: The study was carried out in Randomized block design (RBD). Place and Duration of Study: The field experiment was conducted during rabi season of 2023-2024 at Karunya Institute of technology and Sciences, Coimbatore, Tamil Nadu. Methodology: The experiment was laid out in randomized block design and replicated thrice. It consisted of eleven treatments comprising of pearl millet as main crop and pulses viz., blackgram, greengram, redgram, cowpea and bengalgram as intercrops. Pulses were intercropped with pearl millet in replacement series of 4:1 and 6:1 row proportion. Results: Significantly higher plant height (186.03cm), dry matter accumulation (7386kg/ha), grain yield (2493 kg/ha) and B:C (2.50) ratio was recorded in pearl millet + blackgram (4:1). Further pearl millet equivalent yield (PMGEY) (2711.1 kg/ha) and Relative Crowding Coefficient (RCC) were higher in pearl millet with blackgram 4:1 ratio and Land Equivalent Ratio (LER) were higher in pearl millet + redgram at a ratio of 4:1. Conclusion: These results confirmed that, pearl millet + blackgram 4:1 intercropping system may be suggested to get greater net return and B: C ratio.

Assessing the long‐term effects of conservation agriculture on cotton production in Northeast Louisiana using the denitrification–decomposition model

AbstractConservation agriculture (CA) aims to sustain agricultural production, soil, and environmental health in agroecosystems and has been promoted throughout the United States. The adoption of CA in cotton (Gossypium hirsutum) systems provides both agronomic and environmental benefits. Yet, there is limited information on the long‐term effects of CA practices on crop yield and adaptation strategies. An integrated CA system, that is, cover crops with no‐tillage (NT) instead of conventional agriculture, was implemented in the long‐term field experiments and assessed with an integrated biogeochemical model. Using the denitrification–decomposition model, this study estimated the effects of four different cover crops, for example, native grass (NG), hairy vetch (Vicia villosa), winter wheat (Triticum aestivum L.), and crimson clover (Trifolium incarnatum), on cotton yield under four different nitrogen (N) levels (e.g., 0, 50, 100, and 150 kg N/ha) and estimated responses on carbon (C) sequestration, and ecosystem functionality over a 10‐year study. The NT‐NG 50 N was used as a calibration dataset to accurately estimate the cotton lint yield with a normalized root mean square error (NRMSE) of 21% and model efficiency of 0.3. The calibration data validated the effects of hairy vetch, winter wheat, and crimson clover under the NT‐50 N with NRMSE of 24%, 21%, and 25%, respectively. According to the scenario analysis, the 50 kg N/ha application with a single‐irrigation event (10‐cm depth) was most beneficial for maximizing the cotton yield with cover crop incorporation at the NT system over the long term. The effects of increasing cover crop biomass (i.e., double seed rate) on C content, regardless of N application rates, varied based on the relationship between the main and cover crop species. Besides, the furrow plow tillage system provided efficient C sequestration. The proposed approach stands to provide agricultural and environmental sustainability with the implementation of cover crop or crop residue incorporation instead of increased N application, seed rates, and irrigation events under NT practices.

Effectiveness of ISSR markers for detecting genomic variability in <I>Panicum miliaceum</I> L. accessions

Background. Millet is one of the main cereal crops with a wide area of cultivation. Over the past decade, there has been a significant increase in the consumption of millet and its processed products. As a result, the breeding of cultivars with high consumer properties is becoming relevant, requiring knowledge of the genetic diversity of germplasm accessions to identify donors of valuable agronomic traits and select parental forms using ISSR markers.Materials and methods. The analysis with 8 ISSR primers included 21 accessions of Panicum miliaceum L. of various origin from the VIR collection. The DNA of each accession was isolated by the CTAB method, and ISSR analysis was performed in a ­BioRad T100 Thermal Cycler. Statistical processing was made in the DARwin program (version 6.0.21).Results and conclusion. Eight primers were used to amplify 116 fragments, 62 (53.4%) of which turned out to be polymorphic. To assess the effectiveness of the analyzed primers and identify the polymorphism of millet, basic indicators of their informativeness were calculated and assessed by quantifying four marker parameters. Average PIC (0.27–0.36), EMR (1.38–14.5) and MI (0.12–4.87) values were obtained for most ISSR primers. Four ISSR primers had high Rp values (3.52–6.76) and were the most informative for genotyping. The selected ISSR markers were used to assess the genetic variability of the accessions and identify them. The values of genetic distances (GD) were 0.05–0.21. It was shown that four ISSR markers with the best informativeness values provided sufficient polymorphism to assess the genetic diversity of the analyzed P. miliaceum genotypes and could be recommended for identification of the variability in the genome of millet accessions.

Climate change and crop yield of oats (Avena sativa L.) in Yakutia

Background. Yakutia lies within a risky farming region, where both low temperatures and insufficient moisture are the limiting factors. Oat is the main cereal fodder crop in Yakutia. Climate warming observed in recent decades has been affecting oat cultivation in different climatic areas of Yakutia. The objective of the study was to analyze weather and climate factors affecting oat yield in the republic during the past decade.Materials and methods. The study covered the data of 2014–2021 on the yield of zoned oat cultivars in three Yakutian variety trial sites located in the Central, Transfluvial and Middle Lena agroclimatic zones, and agronomic characteristics of three oat cultivars in the Central zone in 1999–2021. Variance, correlation, and regression analyses were applied.Results and conclusion. The study showed that in 2014–2021 there was a decrease in oat yields in Yakutia. The correlation analysis showed that this was due to climate changes: active warming, and a tendency towards a decrease in precipitation during the oat growing season. The regression analysis of the oat crop structure in the Central Zone in 1999–2021 confirmed that all yield components depended on the moisture availability, and it was the decrease in precipitation that led to a reduction in such indicators as 1000 grain weight, plant height, panicle length, and yield. A significant dependence on humidification conditions indicates the need to continue breeding work towards the development of drought-resistant oat cultivars adapted to the specific agroclimatic environments of Yakutia.