Vegetative Growth Stage Research Articles

Optimizing One-Time Nitrogen Fertilization for Rice Production Using Controlled-Release Urea and Urease Inhibitors

One-time fertilization with controlled-release urea (CRU) is a research hotspot for its lower labor cost and stability of nitrogen (N) supply for rice growth. Yet the fertilizer formulation needs to be further improved to better adjust the N supplement to meet the demand of rice plants and obtain a higher grain yield. Therefore, the effects of novel fertilizer formulations composed of CRU, urease inhibitor (UI) and nitrification inhibitor (NI) on the rice growth and photosynthetic characteristics as well as high-yield formation were tested through a two-year field experiment. The result indicated that the combined use of CRU and UI treatment can achieve higher yields than with CRU at the same N application level. Meanwhile, with a 20% reduction of N use, one-time application of CRU + UI can obtain the same high yield as the conventional split application of urea. Compared with conventional fertilization and CRU treatment, the CRU + UI treatment had suitable leaf area and biomass accumulation at the vegetative growth stage and high effective stem tiller rate. More post-anthesis dry matter accumulation, higher net photosynthesis rate and low senescence rate were guaranteed for its high yield and nitrogen agronomic efficiency.

MAC Family Transcription Factors Enhance the Tolerance of Mycelia to Heat Stress and Promote the Primordial Formation Rate of Pleurotus ostreatus.

Pleurotus ostreatus is a typical tetrapolar heterologous edible mushroom, and its growth and development regulatory mechanism has become a research hotspot in recent years. The MAC1 protein is a transcription factor that perceives copper and can regulate the expression of multiple genes, thereby affecting the growth and development of organisms. However, its function in edible mushrooms is still unknown. In this study, two transcription factor genes, PoMCA1a and PoMAC1b, were identified. Afterwards, PoMAC1 overexpression (OE) and RNA interference (RNAi) strains were constructed to further explore gene function. The results showed that the PoMAC1 mutation had no significant effect on the growth rate of mycelia. Further research has shown that OE-PoMAC1a strains and RNAi-PoMAC1b strains exhibit strong tolerance under 32 °C heat stress. However, under 40 °C heat stress, the OE of PoMAC1a and PoMAC1b promoted the recovery of mycelial growth after heat stress. Second, the OE of PoMAC1a can promote the rapid formation of primordia and shorten the cultivation cycle. In summary, this study indicated that there are functional differences between PoMAC1a and PoMAC1b under different heat stresses during the vegetative growth stage, and PoMAC1a has a positive regulatory effect on the formation of primordia during the reproductive growth stage.

Characterization and comparison of the plant growth promoting rhizobacteria associated with Basmati-129 & Ranbir Basmati rice indigenous to Jammu & Kashmir, India

Two Basmati rice cultivar (Ranbir Basmati & Basmati-129), indigenous to J&K, were explored for the plant growth promoting bacteria associated with its rhizosphere, rhizoplane and endorhizosphere during its vegetative growth stage. A total of 48 bacteria were isolated, 18 from the Ranbir Basmati cultivar (known for superior quality grain & aroma), 13 from the Basmati-129 cultivar (a high yielding variety) and 17 from the bulk field soil. The bacteria have been cataloged from rhizosphere, rhizoplane and endorhizosphere for two varieties. Sequencing of the 16S rRNA gene and plant growth promoting activities revealed that some bacteria seemed to be common to both the varieties and some were cultivar specific. However, some of these rhizobacteria were also present in the bulk soil and others were not. Therefore, both grain and the soil are source of rhizobacteria, and each cultivar selects and attracts bacteria specifically from bacterial pool present in the soil. In addition, though low number of bacterial species were isolated from the high yielding variety Basmati-129 but it harbored higher percentage of plant growth promoting rhizobacteria; PGPRs in comparison to Ranbir Basmati.

Woody Biochar Rate and Water Shortage Impact on Early Growth Stages of Chenopodium quinoa Willd.

The application of biochar to agricultural soils has been proven to have many advantages, including the improvement of soil water holding capacity and plant growth, particularly under limiting conditions of water supply. The response of quinoa (Chenopodium quinoa Willd.) to water shortage occurring during the vegetative growth stages is not well known. Therefore, the present study aimed to evaluate the combined effects of three wood chip biochar rates (0%, 2% and 4%) and two water regimes (100 and 50% evapotranspiration losses restitution) on the vegetative development and water status of quinoa (cultivar Titicaca). The results showed that the treatment with 2% wood chip biochar improved plant height, leaf and branch number and stem diameter during the vegetative growing cycle compared to the 0% (control) and 4% biochar treatments, which were not different from each other. At the end of the experiment, when the plants were at the flowering initiation stage, increases of 23% in leaf area, 22% in fresh biomass, 27% in main panicle length and 36% in sub-panicle number were observed. The application of woody biochar at a 4% rate, although improving the plant water status with increases of 10% in RWC and 18% in Ψ, did not enhance the vegetative development of the quinoa. The water shortage negatively affected both the growth performance and plant water status. The best growth response of quinoa was observed only when the plants were treated with a 2% biochar rate and were fully irrigated.

Response of cotton at different growth stages to imazapyr

Abstract A significant proportion of the forested production area in South Carolina is managed using aerial applications of imazapyr. Cotton injury from off-target movement of imazapyr has been observed in South Carolina. Field experiments were conducted twice at the Edisto Research and Education Center (EREC) in 2021 and 2022, and once at the Pee Dee Research and Education Center (PDREC) in 2022, to evaluate the response of cotton at two growth stages to imazapyr at 0.1×, 0.05×, 0.025×, 0.0125×, and 0.00625× of the normal use rate of 0.84 kg ae ha−1. Injury to cotton at the vegetative stage was 86% and 74% at 0.1× and 0.05× imazapyr rates 28 d after application (DAA). Cotton height ranged from 23 to 93 cm at all three locations. Yield at the EREC location in 2021 was reduced by 79%, 48%, and 31% at the 0.1×, 0.05×, and 0.025× rates of imazapyr, respectively. Similar reductions from imazapyr were observed at both EREC and PDREC in 2022. Injury to cotton at the reproductive stage based on visual estimates at 28 DAA ranged from 95% to 64% for the 0.1× to 0.0125× rates, respectively. Cotton height at the reproductive stage was reduced to 59% of the untreated control 28 DAA when the 0.1× rate of imazapyr was applied. Seed cotton (which included both seed and lint) yield ranged from 0 to 2,880 kg ha−1 at the three locations in both years. Seed cotton yield was lowest when imazapyr was applied at the 0.1× to 0.025× rates. Cotton exposure to imazapyr at the vegetative and reproductive growth stages resulted in plant injury, height, and yield reductions, especially at the higher rates of imazapyr. The greatest reduction in cotton growth and yield was observed after exposure at the reproductive growth stage regardless of imazapyr rate. In summary, the magnitude of cotton response to imazapyr depends on crop growth stage and imazapyr concentration at the time of exposure with the greatest impact occurring at the reproductive growth stage.

The Molecular Mechanism of Relatively Low-Temperature-Induced Broccoli Flower Bud Differentiation Revealed by Transcriptomic Profiling

Broccoli (Brassica oleracea L. var. italica) has a large, edible green flower head, which is one of its critical economic traits. A prerequisite of broccoli flower head formation is flower bud differentiation (FBD). Low-temperature treatment is an effective way to induce FBD in broccoli. However, the molecular mechanism underlying low-temperature-induced broccoli FBD remains largely unclear. In this study, using broccoli cultivar Zhongqing 10 as the experimental material, we investigated the effects of low-temperature treatment on FBD by comparing the plants grown at low temperatures (17 °C/9 °C, 16 h/8 h) with the control plants grown under normal temperature conditions (25 °C/17 °C, 16 h/8 h). After 15 days of different temperature treatments, the flower buds of the plants growing under the low-temperature condition started to differentiate. However, the control plants remained in the vegetative growth stage, indicating that low temperature successfully induced flower bud formation. Subsequently, a global transcriptomic analysis was conducted to detect the differentially expressed genes (DEGs) during low-temperature-induced FBD in broccoli. A total of 14 DEGs in five phytohormone signaling pathways, 42 DEGs in nine transcription factor families, and 16 DEGs associated with the floral development pathways were identified. More DEGs were present in the auxin signaling pathway than in other phytohormone signaling pathways, which indicated that the auxin signaling pathway played a critical role in modulating low-temperature-induced FBD in broccoli. Furthermore, four TF classes, including bZIP, GCM domain factors, MADS-box factors, and C2H2 zinc finger factors, possessed enriched motifs, indicating that their closely related DETFs ABI5, HY5L, WRKY11, WRKY15, WRKY22, SOC1, AGL8, FLC, SPL8, and SPL15 may be directly involved in the transcription regulation of broccoli FBD. This study provides an important basis for further investigation of the molecular regulatory mechanism of broccoli flower development under low temperatures.

Mismatch Repair Protein Msh6Tt Is Necessary for Nuclear Division and Gametogenesis in Tetrahymena thermophila.

DNA mismatch repair (MMR) improves replication accuracy by up to three orders of magnitude. The MutS protein in E. coli or its eukaryotic homolog, the MutSα (Msh2-Msh6) complex, recognizes base mismatches and initiates the mismatch repair mechanism. Msh6 is an essential protein for assembling the heterodimeric complex. However, the function of the Msh6 subunit remains elusive. Tetrahymena undergoes multiple DNA replication and nuclear division processes, including mitosis, amitosis, and meiosis. Here, we found that Msh6Tt localized in the macronucleus (MAC) and the micronucleus (MIC) during the vegetative growth stage and starvation. During the conjugation stage, Msh6Tt only localized in MICs and newly developing MACs. MSH6Tt knockout led to aberrant nuclear division during vegetative growth. The MSH6TtKO mutants were resistant to treatment with the DNA alkylating agent methyl methanesulfonate (MMS) compared to wild type cells. MSH6Tt knockout affected micronuclear meiosis and gametogenesis during the conjugation stage. Furthermore, Msh6Tt interacted with Msh2Tt and MMR-independent factors. Downregulation of MSH2Tt expression affected the stability of Msh6Tt. In addition, MSH6Tt knockout led to the upregulated expression of several MSH6Tt homologs at different developmental stages. Msh6Tt is involved in macronuclear amitosis, micronuclear mitosis, micronuclear meiosis, and gametogenesis in Tetrahymena.

Seasonal Dynamics and Distribution of Xylella fastidiosa in Infected Almond Trees.

This research focused on studying the dynamics of the bacterial pathogen Xylella fastidiosa in almond trees across different developmental stages. The objective was to understand the seasonal distribution and concentration of X. fastidiosa within almond trees. Different tree organs, including leaves, shoots, branches, fruits, flowers, and roots, from 10 X. fastidiosa-infected almond trees were sampled over 2 years. The incidence and concentration of X. fastidiosa were determined using qPCR and isolation. Throughout the study, X. fastidiosa was consistently absent from fruits, flowers, and roots, whereas it was detected in leaves as well as in shoots and branches. We demonstrate that the absence of X. fastidiosa in the roots is likely linked to the inability of this isolate to infect the peach-almond hybrid rootstock GF677. X. fastidiosa incidence in shoots and branches remained consistent throughout the year, whereas in leaf petioles, it varied across developmental stages, with lower detection during the early and late stages of the season. Similarly, viable X. fastidiosa cells were isolated from shoots and branches at all developmental stages, but no successful isolations were achieved from leaf petioles during the vegetative and nut growth stage. Studying the progression of almond leaf scorch symptoms in trees with initial infections showed that once symptoms emerged on one branch, symptomless branches were likely already infected by the bacterium. Therefore, selectively pruning symptomatic branches is unlikely to cure the tree. This study enhances our understanding of X. fastidiosa dynamics in almond trees and may have practical applications for its detection and control.

From biosynthesis and beyond-Loss or overexpression of the cytokinin synthesis gene, iptA, alters cytokinesis and mitochondrial and amino acid metabolism in Dictyostelium discoideum.

Cytokinins (CKs) are a class of growth-promoting signaling molecules that affect multiple cellular and developmental processes. These phytohormones are well studied in plants, but their presence continues to be uncovered in organisms spanning all kingdoms, which poses new questions about their roles and functions outside of plant systems. Cytokinin production can be initiated by one of two different biosynthetic enzymes, adenylate isopentenyltransfases (IPTs) or tRNA isopentenyltransferases (tRNA-IPTs). In this study, the social amoeba, Dictyostelium discoideum, was used to study the role of CKs by generating deletion and overexpression strains of its single adenylate-IPT gene, iptA. The life cycle of D. discoideum is unique and possesses both single- and multicellular stages. Vegetative amoebae grow and divide while food resources are plentiful, and multicellular development is initiated upon starvation, which includes distinct life cycle stages. CKs are produced in D. discoideum throughout its life cycle and their functions have been well studied during the later stages of multicellular development of D. discoideum. To investigate potential expanded roles of CKs, this study focused on vegetative growth and early developmental stages. We found that iptA-deficiency results in cytokinesis defects, and both iptA-deficiency and overexpression results in dysregulated tricarboxylic acid (TCA) cycle and amino acid metabolism, as well as increased levels of adenosine monophosphate (AMP). Collectively, these findings extend our understanding of CK function in amoebae, indicating that iptA loss and overexpression alter biological processes during vegetative growth that are distinct from those reported during later development.

EXPLORING THE PROSPECTS OF UAV-REMOTELY SENSED DATA IN ESTIMATING PRODUCTIVITY OF MAIZE CROPS IN TYPICAL SMALLHOLDER FARMS OF SOUTHERN AFRICA

Abstract. This study estimated maize grain biomass, and grain biomass as a proportion of the absolute maize plant biomass using UAV-derived multispectral data. Results showed that UAV-derived data could accurately predict yield with R2 ranging from 0.80 – 0.95, RMSE ranging from 0.03 – 0.94 kg/m2 and RRMSE ranging from 2.21% – 39.91% based on the spectral datasets combined. Results of this study further revealed that the VT-R1 (56–63 days after emergence) vegetative growth stage was the most optimal stage for the early prediction of maize grain yield (R2 = 0.85, RMSE = 0.1, RRMSE = 5.08%) and proportional yield (R2 = 0.92, RMSE = 0.06, RRMSE = 17.56%), with the Normalized Difference Vegetation Index (NDVI), Enhanced Normalized Difference Vegetation Index (ENDVI), Soil Adjusted Vegetation Index (SAVI) and the red edge band being the most optimal prediction variables. The grain yield models produced more accurate results in estimating maize yield when compared to the biomass and proportional yield models. The results demonstrate the value of UAV-derived data in predicting maize yield on smallholder farms – a previously challenging task with coarse spatial resolution satellite sensors.

Combining Texture, Color, and Vegetation Index from Unmanned Aerial Vehicle Multispectral Images to Estimate Winter Wheat Leaf Area Index during the Vegetative Growth Stage

Leaf Area Index (LAI) is a fundamental indicator of plant growth status in agronomy and environmental research. With the rapid development of drone technology, the estimation of crop LAI based on drone imagery and vegetation indices is becoming increasingly popular. However, there is still a lack of detailed research on the feasibility of using image texture to estimate LAI and the impact of combining texture indices with vegetation indices on LAI estimation accuracy. In this study, two key growth stages of winter wheat (i.e., the stages of green-up and jointing) were selected, and LAI was calculated using digital hemispherical photography. The feasibility of predicting winter wheat LAI was explored under three conditions: vegetation index, texture index, and a combination of vegetation index and texture index, at flight heights of 20 m and 40 m. Two feature selection methods (Lasso and recursive feature elimination) were combined with four machine learning regression models (multiple linear regression, random forest, support vector machine, and backpropagation neural network). The results showed that during the vegetative growth stage of winter wheat, the model combining texture information with vegetation indices performed better than the models using vegetation indices alone or texture information alone. Among them, the best prediction result based on vegetation index was RFECV-MLR at a flight height of 40 m (R2 = 0.8943, RMSE = 0.4139, RRMSE = 0.1304, RPD = 3.0763); the best prediction result based on texture index was RFECV-RF at a flight height of 40 m (R2 = 0.8894, RMSE = 0.4236, RRMSE = 0.1335, RPD = 3.0063); and the best prediction result combining texture and index was RFECV-RF at a flight height of 40 m (R2 = 0.9210, RMSE = 0.3579, RRMSE = 0.1128, RPD = 3.5575). The results of this study demonstrate that combining vegetation indices and texture from multispectral drone imagery can improve the accuracy of LAI estimation during the vegetative growth stage of winter wheat. In addition, selecting a flight height of 40 m can improve efficiency in large-scale agricultural field monitoring, as this study showed that drone data at flight heights of 20 m and 40 m did not significantly affect model accuracy.

Phylogenetic and functional analyses of N6-methyladenosine RNA methylation factors in the wheat scab fungus Fusarium graminearum.

In eukaryotes, N6-methyladenosine (m6A) RNA modification plays a crucial role in governing the fate of RNA molecules and has been linked to various developmental processes. However, the phyletic distribution and functions of genetic factors responsible for m6A modification remain largely unexplored in fungi. To get insights into the evolution of m6A machineries, we reconstructed global phylogenies of potential m6A writers, readers, and erasers in fungi. Substantial copy number variations were observed, ranging from up to five m6A writers in early-diverging fungi to a single copy in the subphylum Pezizomycotina, which primarily comprises filamentous fungi. To characterize m6A factors in a phytopathogenic fungus Fusarium graminearum, we generated knockout mutants lacking potential m6A factors including the sole m6A writer MTA1. However, the resulting knockouts did not exhibit any noticeable phenotypic changes during vegetative and sexual growth stages. As obtaining a homozygous knockout lacking MTA1 was likely hindered by its essential role, we generated MTA1-overexpressing strains (MTA1-OE). The MTA1-OE5 strain showed delayed conidial germination and reduced hyphal branching, suggesting its involvement during vegetative growth. Consistent with these findings, the expression levels of MTA1 and a potential m6A reader YTH1 were dramatically induced in germinating conidia, followed by the expression of potential m6A erasers at later vegetative stages. Several genes including transcription factors, transporters, and various enzymes were found to be significantly upregulated and downregulated in the MTA1-OE5 strain. Overall, our study highlights the functional importance of the m6A methylation during conidial germination in F. graminearum and provides a foundation for future investigations into m6A modification sites in filamentous fungi.IMPORTANCEN6-methyladenosine (m6A) RNA methylation is a reversible posttranscriptional modification that regulates RNA function and plays a crucial role in diverse developmental processes. This study addresses the knowledge gap regarding phyletic distribution and functions of m6A factors in fungi. The identification of copy number variations among fungal groups enriches our knowledge regarding the evolution of m6A machinery in fungi. Functional characterization of m6A factors in a phytopathogenic filamentous fungus Fusarium graminearum provides insights into the essential role of the m6A writer MTA1 in conidial germination and hyphal branching. The observed effects of overexpressing MTA1 on fungal growth and gene expression patterns of m6A factors throughout the life cycle of F. graminearum further underscore the importance of m6A modification in conidial germination. Overall, this study significantly advances our understanding of m6A modification in fungi, paving the way for future research into its roles in filamentous growth and potential applications in disease control.

Wavelet analysis for quantifying NavIC-IR multipath signal frequency with the aim of determining soil moisture in agricultural fields

ABSTRACTThis paper explores the potential of Global Navigation Satellite Systems (GNSS) multipath signals for soil moisture retrieval, specifically focusing on Navigation with Indian Constellations (NavIC). Utilizing GNSS-Interferometric Reflectometry (IR) techniques, wavelet analysis is employed to extract the low-frequency signal sensitive to soil moisture from the reflected multipath signals. The reconstructed low-frequency multipath signal is then subjected to Lomb-Scargle Periodogram (LSP) analysis to determine multipath frequency. A comprehensive sensitivity analysis reveals the dependency of multipath frequency on field soil moisture, particularly in the presence of vegetation. The sensitivity varies across different crop growth stages, categorized by crop height. The Pearson correlation coefficient (r) for crop height less than one wavelength was 0.81 and for greater than one wavelength it was 0.67. The sensitivity of multipath frequency for soil moisture was 0.48 rad s−1 cm3 cm−3 and 0.47 rad s−1 cm3 cm−3 for crop height less than one wavelength and crop height greater than one wavelength respectively.This research underscores the potential of GNSS-IR techniques, incorporating wavelet analysis and LSP, for soil moisture sensitivity, especially in areas with varying vegetation and crop growth stages.

Effect of Salinity on the Growth and Yield of Grapes: A review

The presence of salt in the soil is a major environmental factor that might reduce grapevine productivity. Excessive salt in the soil causes soil salinity, which in turn causes osmotic stress and toxicity to the grapevine’s root system. This can lead to stunted grapevine development, decreased harvests, and inferior fruit quality. Salinity can alter the physical characteristics of soil, making it less porous and less able to absorb water. This can amplify the negative impacts of salinity on grapevine development and harvest success. Numerous factors influence the severity of salinity’s impact on grapevines. The age and rootstock of the vine, as well as the grape variety, are other important factors. The effects of salinity on grapevine development and production vary with the grapevine’s developmental stage. The salinity of the environment can have a greater effect on the vegetative growth stage than the reproductive growth stage. The reproductive phase is brief and relatively immune to salt stress. Grapevines are especially vulnerable to the negative effects of salt stress during the vegetative growth stage, when the plant’s tissues are still developing. These factors can have a negative impact on grapevine health, leading to poorer yields. Grapevine production is less sensitive to salinity when the plants are in the reproductive phase. Salinity, which decreases sugar concentration, increases acidity, and alters flavor, can still have an impact on fruit quality. Growers can take many measures to reduce the negative effects of salt on grapevines. Choose salt-tolerant grape types and rootstocks, enhance drainage to cut down on salt buildup, and use irrigation methods that minimize salt leaching. In conclusion, salinity can significantly affect grapevine development and harvest success.

The Effect of Biofertilizers, Phosphorus Sources and Vermicompost on the Preparation of Bacterial and Fungal Cells for the Two Phases of Vegetative Growth and Flowering of Potato Plants

A field experiment was conducted for potato plants in the field of Agricultural Research and Experiment Station in Al-Muradiyya of the Directorate of Agriculture of Babylon - Babylon Governorate for the agricultural season 2022 to study the effect of adding bacterial fertilizer, phosphorus sources (triple superphosphate and phosphate rock) and vermicompost and the interaction between them in cell preparation Bacterial and fungal phases of potato plant vegetative growth and blooming according to RCBD design. The experiment included three factors: the addition of the bacterial biofertilizer Bacillus megaterium (with or without addition), phosphorus sources at three levels (0, triple superphosphate at 100 kg ha-1, phosphate rock at 200 kg ha-1), and vermicompost at three levels. Levels (0, 8, 12) ton ha-1, with three replications, yielded 54 experimental units. Burin cultivar potato tubers were planted, and the results were: The addition of bacterial bio fertilizer to treatment B1 produced the highest numbers of bacterial cells for the two stages of vegetative growth and flowering of potato plants: 4.73×106 and 6.73×106 (colony forming unit g-1 dry soil × 106) in sequence, and 5.93 × 103 and 12.15 × 103 for fungal cells. g-1 dry soil × 103, sequentially. During potato plant vegetative growth and flowering, the P22 treatment had the most bacterial and fungal cells, at 5.31 × 106 and 7.56 × 106 (colony forming unit g-1 dry soil 106), respectively. sequentially (g-1 dry soil) 103. Treatment F2 with vermicompost added had the largest counts of bacterial and fungal cells during the vegetative growth and blooming phases of potato plants at 6.22 × 106 (colony forming unit g-1 dry soil 106) and 10.08 × 106 (colony forming unit g-1 dry soil 103), respectively. B1P2F3 had the greatest bacterial cell counts at 8.25 and 13.55 × 106 (colony forming unit g-1 dry soil 106).

Response of Potato Cultivars to Nano-Fertilization Under Water Stress at Different Growth Stages

The experiment was conducted in the field of the Plant Production Techniques Department at the Technical College of Musayyib for autumn season of 2020. The experiment had three factors. First, four cultivars—Burren, Sifra, Arizona, Royal—were used (C1, C2, C3, C4). The second factor has four levels of water stress: no water stress, water stress during the germination stage from the date of planting to 30 days after planting, water stress during the vegetative growth stage from the end of the germination stage to 45 days after planting, and water stress during tuber formation from 45 to 60 days after planting. The third work sprayed three levels of nano fertilizer (khazra) (0, 1, 2) g. L-1 and its symbol (S0, S1, S2) according to the RCBD (Randomized complete block design) with three replicates and random transactions within each replicate. The probability-based Least Significant Difference (L.S.D) test assessed the results. 5%. The Burren cultivars had the highest plant height 57.70 cm and leaf number 48.00 leaves. Plant-1: leaf area 4389.90 cm2, fresh weight 312.67 g, dry weight 35.25. Stress during tuber formation (W3) and vegetative growth (W2) reduced most features in the first trial. The stress-free treatment (W0) had the highest vegetative growth, tuber, and chemical characteristics. Nano-fertilizer spraying at 2 g had a substantial effect.L-1 had the highest plant height 55.44 cm and leaf number 47.71 leaves. plant-1, leaf area 4329.72 cm2. Plant weight: 310.09 g, 35.87 g dry.

Improving Drought Tolerance in Smooth Bromegrass by Mild Drought Stress Induction in Vegetative Growth Stage

Improving Drought Tolerance in Smooth Bromegrass by Mild Drought Stress Induction in Vegetative Growth Stage

Sustainability of Agricultural Productivity and Water Requirement of Sorghum Crop Under Deficient Irrigation

A field experiment was conducted at the Experimental Station of the College of Agricultural Engineering Sciences, University of Baghdad - Al-Jadriya (Station F), to study the effect of deficit irrigation on the water requirement of Sorghum bicolor L, using surface drip irrigation system, during the spring season 2022 in a clay loam soil, using randomized complete block design (RCBD) with three replications. The experiment included 6 irrigation treatments levels: complete irrigation treatment, 100% irrigation, (at 50% of the available water depleted), and compensated by the American evaporation basin index, Class A, and deficit irrigation applying 80, 70, 60, 50, and 40% of the 1st complete irrigation. Deficit irrigation applied at (vegetative growth, flowering and grains maturity stages for Sorghum crop. Sorghum seeds were sown on 13. Mar 2022 and harvested on 15. Jul 2022. The results indicated that water requirement for sorghum, it’s the highest value in the full irrigation treatment was 487.25 mm season-1, then it decreased to 413.87, 377.19, 340.50, 303.81, and 267.12 mm season-1 for above treatments respectively.

Response of Growth, Yield and Quality of Sorghum (Sorghum bicolor L. Moench) to Kinetin Foliar Spraying

Field experiments were carried out during the spring and autumn seasons of 2019 in the research station of the College of Agriculture - University of Anbar in the Al-Hamidiyah region - Al-Ramadi district - Al-Anbar Governorate, to study the response of growth, yield and grain quality of sorghum (Inkath cv.) to spraying with kinetin at different growth stages. The experiments were conducted using a randomized complete block design (RCBD) according to split plots arrangement at three replications, the main plots included foliar spraying of four concentrations of kinetin (0, 15, 30 and 45 mg L−1), while the sub-plots included three stages of spraying {(spraying at the five leaves stage, spraying at the end of the vegetative growth stage (beginning of flag leaf appearance) and spraying at the 25% flowering stage}. The results showed that the spraying of kinetin at a concentrations of 45 mg L−1 was significantly superior in the most of the studied traits, such as leaf area, 1000 grain weight, grain yield (3.548 and 5.110 ton ha−1) and grain protein content (11.04 and 11.56%) in the two seasons respectively. However, the spraying of kinetin at a high concentration (45 mg L−1) at the 25% flowering stage had a highest value of grain protein content in the autumn season.

Management of surface flow allocation in rice cultivation by maximization of water use and economic efficiency

Abstract The multi-objective genetic algorithm was used as a decision variable to estimate the water required for irrigation in each of the growth stages. Agricultural costs and product sales prices in the agricultural year 2017–2023 in Luoyang Plain and its surrounding areas were collected for this purpose. Optimal irrigation strategies according to different water price scenarios were considered to calculate water use efficiency and net profit. In the conditions of optimal distribution, the amount of allocated water was 7,809, 2,928, 3,904, and 1,789 m3/ha for the stages of vegetative growth, flowering, crop formation, and ripening by the proposed model. On the other hand, it is necessary to reduce water stress in the periods of clustering and seed filling to increase crop yield and net income, as well as to achieve the desired irrigation schedule. Effective rainfall, especially in the ripening stage of the crop, can be considered to determine the optimal volume of water harvesting from the river. In addition, the results showed that by reducing the amount of available water, the water model allocated to leaf greening and tillering stages decreases.