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      "result": [
        {
          "id": "PPR1274584",
          "source": "PPR",
          "doi": "10.21203/rs.3.rs-9980928/v1",
          "title": "Deciphering the morpho-physiological and biochemical reprogramming of fodder beet (Beta vulgaris L.) under variable drip irrigation and nitrogen fertigation in an arid ecosystem",
          "authorString": "Khowde K, Tanwar S, Kumar M, Patidar M, Singh M, Kumar M, Sagar A, Kumar P.",
          "authorList": {
            "author": [
              {
                "fullName": "Khowde K",
                "firstName": "Keshav",
                "lastName": "Khowde",
                "initials": "K"
              },
              {
                "fullName": "Tanwar S",
                "firstName": "SPS",
                "lastName": "Tanwar",
                "initials": "S"
              },
              {
                "fullName": "Kumar M",
                "firstName": "Mahesh",
                "lastName": "Kumar",
                "initials": "M"
              },
              {
                "fullName": "Patidar M",
                "lastName": "Patidar",
                "initials": "M"
              },
              {
                "fullName": "Singh M",
                "firstName": "Maharaj",
                "lastName": "Singh",
                "initials": "M"
              },
              {
                "fullName": "Kumar M",
                "firstName": "Mahesh",
                "lastName": "Kumar",
                "initials": "M"
              },
              {
                "fullName": "Sagar A",
                "lastName": "Sagar",
                "initials": "A"
              },
              {
                "fullName": "Kumar P",
                "firstName": "Pradeep",
                "lastName": "Kumar",
                "initials": "P"
              }
            ]
          },
          "pubYear": "2026",
          "abstractText": "<title>Abstract</title>  <p>  Fodder beet (  <italic>Beta vulgaris</italic>  L.) is an emerging forage crop in arid regions, which requires precision input management to secure high yield. This study investigated the morpho-physiological and biochemical reprogramming of fodder beet (  <italic>Beta vulgaris</italic>  L.) under four drip irrigation levels (125%, 100%, 75%, and 50% IW/CPE) and two nitrogen doses (100% and 75% of 150 kg ha  <sup>− 1</sup>  ) over 4 and 5 split fertigation schedules in the Thar Desert, India. Results revealed that severe water stress (50% IW/CPE) forced resource allocation trade-off and reduced leaf and root fresh weights by 27.5% and 29.1%, respectively. To mitigate oxidative and osmotic damage, the crop strategically boosted leaf antioxidant enzymes (catalase and peroxidase) while shifting its defense to the roots through the accumulation of osmolytes (proline, soluble sugars) and protective secondary metabolites (phenols, tannins). Reducing the N fertilizer dose by 25% reduced leaf and root biomass, as well as leaf chlorophyll, but PCA analysis revealed its neutral effect on drought-survival mechanisms. Multivariate principal component analysis showed that shifting to 5 splits subtly optimized canopy light-harvesting pigment configurations. These findings conclude that water management dictates primary survival in arid zones, while nitrogen splitting acts as a secondary, independent modifier of baseline pigment efficiency.  </p>",
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              "Preprint"
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            "publisher": "Research Square",
            "yearOfPublication": 2026
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                "site": "DOI",
                "url": "https://doi.org/10.21203/rs.3.rs-9980928/v1"
              }
            ]
          },
          "isOpenAccess": "N",
          "inEPMC": "N",
          "inPMC": "N",
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          "hasBook": "N",
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            "version": [
              {
                "id": "PPR1274584",
                "source": "PPR",
                "firstPublishDate": "2026-07-06",
                "versionNumber": 1,
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                  "pubType": [
                    "preprint"
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          },
          "versionNumber": 1,
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          "dateOfCreation": "2026-07-09",
          "firstIndexDate": "2026-07-09",
          "firstPublicationDate": "2026-07-06"
        },
        {
          "id": "PPR1241651",
          "source": "PPR",
          "doi": "10.21203/rs.3.rs-9743776/v1",
          "title": "Sugar Beet Residue Outperforms Foliar Nano-MoO3 and Proline under Deficit Irrigation in a Soybean–Faba Bean Rotation on Calcareous Soil",
          "authorString": "Emam AAE, Sary DH, El-Nagar DA, Mahmoud M, Kaya O, Hatterman-Valenti H.",
          "authorList": {
            "author": [
              {
                "fullName": "Emam AAE",
                "firstName": "Asmaa Ali Embarek",
                "lastName": "Emam",
                "initials": "AAE"
              },
              {
                "fullName": "Sary DH",
                "firstName": "Dalal Hereimas",
                "lastName": "Sary",
                "initials": "DH"
              },
              {
                "fullName": "El-Nagar DA",
                "firstName": "Doaa Ahmed",
                "lastName": "El-Nagar",
                "initials": "DA"
              },
              {
                "fullName": "Mahmoud M",
                "firstName": "M.A.",
                "lastName": "Mahmoud",
                "initials": "M"
              },
              {
                "fullName": "Kaya O",
                "firstName": "Ozkan",
                "lastName": "Kaya",
                "initials": "O"
              },
              {
                "fullName": "Hatterman-Valenti H",
                "firstName": "Harlene",
                "lastName": "Hatterman-Valenti",
                "initials": "H"
              }
            ]
          },
          "pubYear": "2026",
          "abstractText": "<title>Abstract</title>  <p>Aims  Combined deficit-irrigation and amendment strategies represent an emerging avenue for stabilizing legume production on calcareous soils. We evaluated whether sugar beet residue, molybdenum oxide nanoparticles (n-MoO₃), and exogenous L-proline can simultaneously sustain yield, reinforce stress physiology, and improve profitability under reduced irrigation in a soybean–faba bean rotation on newly reclaimed Egyptian land. Methods  Two irrigation regimes (75% and 100% of crop evapotranspiration, ETc) were combined with seven treatments: nontreated control, sugar beet residue at 12 and 24 t ha⁻¹ (SB₁₂, SB₂₄), foliar n-MoO₃ at 200 and 400 mg L⁻¹ (N-Mo₂₀₀, N-Mo₄₀₀), and foliar L-proline at 200 and 400 mg L⁻¹ (P₂₀₀, P₄₀₀). Nutrient status, osmolyte and antioxidant accumulation, yield, water productivity, and economic return were assessed. Results  SB₂₄ delivered the highest leaf and seed N, P, and K in both crops, while N-Mo₄₀₀ maximized leaf and seed Mo, raising soybean leaf Mo by ~ 89% above the deficit control. Leaf proline peaked under P₄₀₀ at 75% ETc; ascorbic acid declined under more effective treatments, indicating stress relief. The yield ranking SB₂₄ > SB₁₂ > N-Mo₄₀₀ > P₄₀₀ > N-Mo₂₀₀ > P₂₀₀ > Control was consistent across both crops. SB₂₄ at 100% ETc produced the highest seed yield and soybean oil content (21.45%), whereas SB₂₄ at 75% ETc achieved the highest water productivity (0.56 and 0.32 kg m⁻³). Conclusions  SB₂₄ at 100% ETc was the most profitable option (BCR = 3.53 in faba bean; 2.32 in soybean), while SB₂₄ at 75% ETc is recommended as the most water-efficient strategy for newly reclaimed calcareous soils.</p>",
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              "Preprint"
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            "publisher": "Research Square",
            "yearOfPublication": 2026
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              {
                "id": "PPR1241651",
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          "nihAuthMan": "N",
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          "dateOfCreation": "2026-06-03",
          "firstIndexDate": "2026-06-03",
          "firstPublicationDate": "2026-05-29"
        },
        {
          "id": "42486927",
          "source": "MED",
          "pmid": "42486927",
          "doi": "10.1038/s41598-026-62915-3",
          "title": "Nitrogen fertilization and biostimulants in sugar beet (Beta vulgaris L.) production: a systematic review, meta-analysis, and nutrient management framework.",
          "authorString": "El-Razek UAA.",
          "authorList": {
            "author": [
              {
                "fullName": "El-Razek UAA",
                "firstName": "Usama A Abd",
                "lastName": "El-Razek",
                "initials": "UAA",
                "authorId": {
                  "type": "ORCID",
                  "value": "0000-0001-6515-2695"
                },
                "authorAffiliationDetailsList": {
                  "authorAffiliation": [
                    {
                      "affiliation": "Department of Agronomy, Faculty of Agriculture, Tanta University, Tanta, 31527, Egypt. usama.eldesouky@agr.tanta.edu.eg."
                    }
                  ]
                }
              }
            ]
          },
          "authorIdList": {
            "authorId": [
              {
                "type": "ORCID",
                "value": "0000-0001-6515-2695"
              }
            ]
          },
          "journalInfo": {
            "issue": "1",
            "volume": "16",
            "journalIssueId": 4223254,
            "dateOfPublication": "2026 Jul",
            "monthOfPublication": 7,
            "yearOfPublication": 2026,
            "printPublicationDate": "2026-07-01",
            "journal": {
              "title": "Scientific reports",
              "medlineAbbreviation": "Sci Rep",
              "isoabbreviation": "Sci Rep",
              "nlmid": "101563288",
              "essn": "2045-2322",
              "issn": "2045-2322"
            }
          },
          "pubYear": "2026",
          "pageInfo": "22972",
          "abstractText": "Sugar beet (Beta vulgaris L.) is a globally significant industrial crop, yet the interactive effects of nitrogen (N) fertilization and biostimulant application on yield and juice quality remain inadequately synthesized. Excessive N application suppresses sucrose content, elevates molassogenic impurities, and generates environmental externalities; however, no prior synthesis has coupled a systematic review with field-derived path analysis to jointly characterize the N × biostimulant system. The present study quantified the effects of N rate and biostimulant type on root yield, sucrose content, juice purity, and impurity concentrations through a PRISMA-compliant systematic review (68 eligible studies from 1,250 records; 50 with extractable data), random-effects meta-analysis, GRADE certainty grading, and a two-season split-plot field experiment (n = 72; Sakha, Egypt) analyzed by structural equation modelling (SEM). N rate positively predicted root yield (GRADE: MODERATE) but negatively affected sucrose content above 120 kg N ha⁻¹ (GRADE: LOW). All biostimulant outcomes were rated GRADE VERY LOW certainty due to high heterogeneity and publication bias. Path analysis confirmed potassium as the principal quality-limiting impurity and its co-accumulation with α-amino nitrogen (α-AN) under excess N. An optimal range of 90-120 kg N ha⁻¹ is supported by MODERATE-certainty evidence for Nile Delta clay-loam conditions. Biostimulant recommendations remain provisional pending pre-registered multi-location trials.",
          "affiliation": "Department of Agronomy, Faculty of Agriculture, Tanta University, Tanta, 31527, Egypt. usama.eldesouky@agr.tanta.edu.eg.",
          "publicationStatus": "epublish",
          "language": "eng",
          "pubModel": "Electronic",
          "pubTypeList": {
            "pubType": [
              "Meta-Analysis",
              "Systematic Review",
              "Journal Article"
            ]
          },
          "meshHeadingList": {
            "meshHeading": [
              {
                "majorTopic_YN": "Y",
                "descriptorName": "Beta vulgaris",
                "meshQualifierList": {
                  "meshQualifier": [
                    {
                      "abbreviation": "DE",
                      "qualifierName": "drug effects",
                      "majorTopic_YN": "N"
                    },
                    {
                      "abbreviation": "GD",
                      "qualifierName": "growth & development",
                      "majorTopic_YN": "N"
                    },
                    {
                      "abbreviation": "ME",
                      "qualifierName": "metabolism",
                      "majorTopic_YN": "N"
                    }
                  ]
                }
              },
              {
                "majorTopic_YN": "N",
                "descriptorName": "Plant Roots",
                "meshQualifierList": {
                  "meshQualifier": [
                    {
                      "abbreviation": "GD",
                      "qualifierName": "growth & development",
                      "majorTopic_YN": "N"
                    },
                    {
                      "abbreviation": "ME",
                      "qualifierName": "metabolism",
                      "majorTopic_YN": "N"
                    }
                  ]
                }
              },
              {
                "majorTopic_YN": "Y",
                "descriptorName": "Nitrogen",
                "meshQualifierList": {
                  "meshQualifier": [
                    {
                      "abbreviation": "ME",
                      "qualifierName": "metabolism",
                      "majorTopic_YN": "N"
                    }
                  ]
                }
              },
              {
                "majorTopic_YN": "N",
                "descriptorName": "Sucrose",
                "meshQualifierList": {
                  "meshQualifier": [
                    {
                      "abbreviation": "ME",
                      "qualifierName": "metabolism",
                      "majorTopic_YN": "N"
                    }
                  ]
                }
              },
              {
                "majorTopic_YN": "Y",
                "descriptorName": "Fertilizers"
              }
            ]
          },
          "keywordList": {
            "keyword": [
              "Beta vulgaris",
              "Cyanobacteria",
              "Meta-analysis",
              "Plant growth-promoting rhizobacteria",
              "Systematic review",
              "nitrogen fertilization",
              "Structural Equation Modelling",
              "Sugar Yield",
              "Nile Delta",
              "Silicon Fertilization",
              "Biostimulants",
              "Grade Certainty"
            ]
          },
          "chemicalList": {
            "chemical": [
              {
                "name": "Sucrose",
                "registryNumber": "57-50-1"
              },
              {
                "name": "Fertilizers",
                "registryNumber": "0"
              },
              {
                "name": "Nitrogen",
                "registryNumber": "N762921K75"
              }
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                "code": "IM",
                "name": "Index Medicus"
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                "availabilityCode": "S",
                "documentStyle": "doi",
                "site": "DOI",
                "url": "https://doi.org/10.1038/s41598-026-62915-3"
              }
            ]
          },
          "isOpenAccess": "N",
          "inEPMC": "N",
          "inPMC": "N",
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          "epmcAuthMan": "N",
          "nihAuthMan": "N",
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          "dateOfCompletion": "2026-07-22",
          "dateOfCreation": "2026-07-22",
          "firstIndexDate": "2026-07-23",
          "dateOfRevision": "2026-07-29",
          "electronicPublicationDate": "2026-07-22",
          "firstPublicationDate": "2026-07-22"
        },
        {
          "id": "42448780",
          "source": "MED",
          "pmid": "42448780",
          "doi": "10.1038/s41598-026-62187-x",
          "title": "Genetic gains in yield and quality traits of Iranian sugar beet cultivars over four decades.",
          "authorString": "Berimavandi A, Daliri MS, Hemayati SS, Mousavi AA, Moballeghi M.",
          "authorList": {
            "author": [
              {
                "fullName": "Berimavandi A",
                "firstName": "Ahmadreza",
                "lastName": "Berimavandi",
                "initials": "A",
                "authorAffiliationDetailsList": {
                  "authorAffiliation": [
                    {
                      "affiliation": "Department of Agriculture, Chalous Branch, Islamic Azad University, Chalous, Iran."
                    }
                  ]
                }
              },
              {
                "fullName": "Daliri MS",
                "firstName": "Morteza Sam",
                "lastName": "Daliri",
                "initials": "MS",
                "authorAffiliationDetailsList": {
                  "authorAffiliation": [
                    {
                      "affiliation": "Department of Agriculture, Chalous Branch, Islamic Azad University, Chalous, Iran."
                    }
                  ]
                }
              },
              {
                "fullName": "Hemayati SS",
                "firstName": "Saeed Sadeghzadeh",
                "lastName": "Hemayati",
                "initials": "SS",
                "authorAffiliationDetailsList": {
                  "authorAffiliation": [
                    {
                      "affiliation": "Sugar Beet Seed Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran. s.sadeghzadeh@areeo.ac.ir."
                    }
                  ]
                }
              },
              {
                "fullName": "Mousavi AA",
                "firstName": "Amir Abbas",
                "lastName": "Mousavi",
                "initials": "AA",
                "authorAffiliationDetailsList": {
                  "authorAffiliation": [
                    {
                      "affiliation": "Department of Agriculture, Chalous Branch, Islamic Azad University, Chalous, Iran."
                    }
                  ]
                }
              },
              {
                "fullName": "Moballeghi M",
                "firstName": "Morteza",
                "lastName": "Moballeghi",
                "initials": "M",
                "authorAffiliationDetailsList": {
                  "authorAffiliation": [
                    {
                      "affiliation": "Department of Agriculture, Chalous Branch, Islamic Azad University, Chalous, Iran."
                    }
                  ]
                }
              }
            ]
          },
          "journalInfo": {
            "journalIssueId": 4219416,
            "dateOfPublication": "2026 Jul",
            "monthOfPublication": 7,
            "yearOfPublication": 2026,
            "printPublicationDate": "2026-07-01",
            "journal": {
              "title": "Scientific reports",
              "medlineAbbreviation": "Sci Rep",
              "isoabbreviation": "Sci Rep",
              "nlmid": "101563288",
              "essn": "2045-2322",
              "issn": "2045-2322"
            }
          },
          "pubYear": "2026",
          "abstractText": "Sugar beet breeding has been a vital area of research in Iran for over eight decades, with the aim of improving the yield, and quality of this important crop. In this study, an analysis of the progress made in sugar beet breeding over the past 40 years has been presented. This study utilized 15 cultivars of sugar beet. Phenotypic evaluations of these experimental cultivars were carried out across two successive crop years (2022 and 2023). The experimental design adhered to a randomized complete blocks setup with four replications. In the assessment of sugar beet cultivars introduced between 1983 and 2023, the newer cultivars exhibited notably higher white sugar weight (WSW), marking a significant upward trend over the years. Analysis of root weight (RW) and white sugar content (WSC) trends indicated substantial enhancements in these key components impacting WSW. Peak values were evident in the most recent cultivars, contrasting with lower values recorded in earlier decades. Exploring the components of WSC further, sugar content (SC) showed a significant upward trajectory, while molasses sugar percentage (MS) showcased a distinct decrease. Noteworthy declines in sodium (Na⁺) were observed, in contrast to a non-significant rise in potassium (K<sup>+</sup>) and a highly significant increase in alpha-amino nitrogen (N). Pearson's correlation analysis identified positive correlations between WSW and factors like SC, RW, and N. A negative correlation was observed between WSW and Na<sup>+</sup>, emphasizing the importance of minimizing Na<sup>+</sup> levels for optimal sugar production. A regression analysis identified SC and RW as the key contributors to WSW variations. Path analysis confirmed the positive direct effects of RW and SC on WSW. Additionally, an indirect positive effect of SC on WSW through RW was identified. Overall, this study highlights significant breeding progress in sugar beets, with substantial improvements in WSW, RW, and WSC. Therefore, breeding programs should focus on enhancing both RW and SC to achieve optimal sugar yield.",
          "affiliation": "Department of Agriculture, Chalous Branch, Islamic Azad University, Chalous, Iran.",
          "publicationStatus": "aheadofprint",
          "language": "eng",
          "pubModel": "Print-Electronic",
          "pubTypeList": {
            "pubType": [
              "Journal Article"
            ]
          },
          "keywordList": {
            "keyword": [
              "Yield",
              "Resistance",
              "Component",
              "Path analysis",
              "Genetic"
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          "isOpenAccess": "N",
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          "dateOfCreation": "2026-07-14",
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          "doi": "10.3389/fpls.2026.1827328",
          "title": "Synergistic effects of nitrogen, sewage sludge, and poultry manure on integrative fertilization for wheat and sugar beet in marginally saline soil.",
          "authorString": "Veres S, Alshaal T, Elhawat N.",
          "authorList": {
            "author": [
              {
                "fullName": "Veres S",
                "firstName": "Szilvia",
                "lastName": "Veres",
                "initials": "S",
                "authorAffiliationDetailsList": {
                  "authorAffiliation": [
                    {
                      "affiliation": "Institute of Applied Plant Biology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary."
                    }
                  ]
                }
              },
              {
                "fullName": "Alshaal T",
                "firstName": "Tarek",
                "lastName": "Alshaal",
                "initials": "T",
                "authorAffiliationDetailsList": {
                  "authorAffiliation": [
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                      "affiliation": "Institute of Applied Plant Biology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary."
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                      "affiliation": "Department of Food Biotechnology, Albert Kazmer Mosonmagyarovar Faculty, Széchenyi István University, Győr, Hungary."
                    },
                    {
                      "affiliation": "Soil and Water Science Department, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh, Egypt."
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                      "affiliation": "Institute of Applied Plant Biology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary."
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                      "affiliation": "Department of Food Biotechnology, Albert Kazmer Mosonmagyarovar Faculty, Széchenyi István University, Győr, Hungary."
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                      "affiliation": "Faculty of Agriculture (for Girls), Al-Azhar University, Cairo, Egypt."
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              "title": "Frontiers in plant science",
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          "abstractText": "<h4>Introduction</h4>Soil salinity is a major constraint to agricultural productivity in arid and semi-arid regions, affecting approximately 1.4 billion hectares globally (over 10% of the world's land area) and causing substantial yield losses in staple crops, with reductions reaching up to 50% or more in sensitive species under moderate salinity levels.<h4>Methods</h4>While the individual effects of biofertilizers or organic amendments have been widely studied, there remains a critical gap in field-based evidence regarding their synergistic integration-particularly the combined use of dual nitrogen (N<sub>2</sub>)-fixing plant growth-promoting rhizobacteria (<i>Azotobacter chroococcum</i> and <i>Azospirillum lipoferum</i>) with a balanced blend of sewage sludge and poultry manure (1:1 on N basis) as a 50% substitution for inorganic N in marginally saline soils. This study aimed to evaluate the effects of such integrated fertilization on soil health, nutrient availability, physiological performance, and productivity of wheat (<i>Triticum aestivum</i> L. cv. Sakha 93) and sugar beet (<i>Beta vulgaris</i> L. cv. Kawemira) in marginally saline soil (initial EC<sub>e</sub> 3.47 dS/m). A strip-plot field experiment with five treatments was conducted: control (T1), biofertilizer alone (T2), 50% inorganic N + 50% organic manure (T3), biofertilizer + T3 (T4), and conventional NPK (T5). Soil and plant parameters were assessed at 70 days after sowing (DAS), with final yield and quality parameters determined at harvest.<h4>Results and discussion</h4>Treatment T4 significantly improved soil organic matter (23.3 g/kg in wheat and 22.9 g/kg in sugar beet), reduced EC<sub>e</sub> (to 3.90 dS/m in wheat and 3.13 dS/m in sugar beet), and enhanced available N (up to 63.0 mg/kg) and potassium. It also increased microbial biomass carbon, soil enzyme activities, photosynthetic rate (14.0 µmol CO<sub>2</sub>/m<sup>2</sup>/s in wheat and 26.5 µmol CO<sub>2</sub>/m<sup>2</sup>/s in sugar beet), and alleviated salinity-induced stress indicators. The highest yields were recorded under T4, with wheat grain yield reaching 6719 kg/ha and sugar beet root yield 78.8 tons/ha, accompanied by superior sugar quality. These results demonstrate that the integration of dual PGPR with blended organic amendments (T4) offers a synergistic, low-input strategy that enhances soil fertility, mitigates salinity stress, and boosts crop productivity while reducing inorganic fertilizer use by 50%. This approach provides a scalable and sustainable solution for marginally saline soils in arid regions, supporting food security with a reduced environmental footprint. Further multi-site and multi-year validation across a wider range of salinity levels and soil types is recommended.",
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          "doi": "10.1038/s41598-026-54565-2",
          "title": "Physiological homeostasis, yield, and sugar profile of salt-stressed sugar beet plants as influenced by nano-structured mixture of zinc, boron, and molybdenum application.",
          "authorString": "El-Nasr EKA, Rizk TY, Saudy HS, Fergany MAH, Abd El-Hady MA, Shaaban A.",
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                      "affiliation": "Agronomy Department, Faculty of Agriculture, Ain Shams University, Hadayek Shoubra, P.O. Box 68, Cairo, 11241, Egypt."
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              "medlineAbbreviation": "Sci Rep",
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          "abstractText": "Sugar beet is a key industrial crop valued for its sucrose content, but its yield and sugar profile are greatly affected by soil salinity. In this study, we introduce novel nano-structured zinc (Zn), boron (B), and molybdenum (Mo) mixture designed to mitigate the adverse effects of salt stress. While individual nano-micronutrient applications have been investigated, the potential of combined nano-micronutrient formulations still need to be clarified. A two-season field experiments evaluated the effect of a nano-structured Zn, B, and Mo (MMNPs) mixture on salt-stressed sugar beet. Treatments included applied once (MMNPs1) or twice (MMNPs2) applications of MMNPs, their bulk counterparts (MMB1 or MMB2), and a control treatment (CK). Physiological traits, yield attributes, and sugar profile were assessed. The findings of this study pointed out that application of MMNPs2 and MMB2 treatments improved growth, photosynthetic efficiency, productivity, and juice quality compared with CK, MMNPs1, and MMB1, with MMNPs2 showing the greatest effects. Relative to CK, MMNPs2 increased net assimilation rate, absolute crop growth rate, taproot dry weight, taproot length, and taproot diameter by 3.87-, 6.14-, 1.98-, 1.24-, and 1.20-fold, respectively. It also enhanced chlorophyll a by 78.3%, chlorophyll b by 163.1%, carotenoids by 50.4%, F<sub>v</sub>/F<sub>₀</sub> by 19.7%, F<sub>v</sub>/F<sub>m</sub> by 3.6%, and the photosynthetic performance index by 77.7%. The MMNPs2 treatment yielded the highest sugar content and lowest non-sugar impurities. Briefly, foliar applying a nano-structured Zn, B, and Mo mixture at 165 mg L⁻¹ twice during the growth development is an effective strategy to maintain high sugar yield and quality in nutrient-deficient, sandy, salt-affected soils.",
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          "abstractText": "Soil salinity remains a critical constraint to sustainable agricultural production and long-term soil resource management. A field investigation was conducted over two consecutive growing seasons (2022/2023 and 2023/2024) to evaluate the potential of glauconite-derived potassium amendments for improving soil health and enhancing sugar beet (Beta vulgaris L.) performance under saline soil conditions. Treatments included conventional potassium sulfate (K₂SO₄), raw glauconite powder (G), and foliar applications of glauconite extracts prepared with EDTA (GE), nitric acid (GN), and fulvic acid (GF), each applied at two concentrations (20 and 40 mL L ⁻ ¹). Among the tested treatments, GE2 and GF2 produced the most substantial improvements in soil quality, with GF2 reducing soil electrical conductivity by 35.11% and exchangeable sodium percentage by 23.33%, while increasing organic matter content and available nutrients. Soil biological indicators also responded positively, with GF2 enhancing dehydrogenase, urease, and phosphatase activities by 7.21%, 16.43%, and 48.60%, respectively. Correspondingly, GF2 achieved the highest increases in root yield (67.79%), shoot biomass (107.34%), and sugar yield (92.11%). Multivariate analyses (PCA and RDA) confirmed strong linkages between sugar yield and key soil variables, particularly available potassium, enzymatic activities, and microbial biomass. These results demonstrate that tailored glauconite-based foliar formulations-especially fulvic and EDTA extracts at higher concentrations-can serve as environmentally sound and agronomically effective measures for improving soil quality, restoring saline-affected lands, and enhancing sustainable crop productivity within the broader framework of soil and water conservation.",
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          "authorString": "Küçük Ö, Bozdoğan O.",
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                "fullName": "Bozdoğan O",
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                  "authorAffiliation": [
                    {
                      "affiliation": "Department of Plant Protection, Agriculture Faculty, Malatya Turgut Ozal University, Malatya, Türkiye."
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          "abstractText": "Weed infestation remains a major constraint limiting the yield potential of sugar beet (<i>Beta vulgaris</i> L.) worldwide. Weeds compete with the crop for light, water, and nutrients, and if not effectively managed, they can cause severe yield and quality losses. Developing sustainable and efficient weed management strategies is therefore essential for maintaining crop productivity and reducing economic losses in sugar beet cultivation. This two-year field experiment (2020-2021) was conducted in Yeni Village, Doğanşehir District, Malatya Province, Türkiye, to assess the impact of various weed control methods on yield performance and weed suppression. The study employed a randomized complete block design with twelve treatments and four replications, including weedy and weed-free controls, herbicide applications, and combinations of herbicides with hand hoeing or power tillage. Yield components (total plant weight, root weight, leaf weight, root diameter, and plant length) and weed parameters (density, cover, fresh and dry weight) were recorded and statistically analysed. The highest yield was obtained from the weed-free control, followed by the integrated treatments combining pre-emergence herbicide (700 g L<sup>-1</sup> metamitron) with one or two hand hoeings. These methods reduced the dry weight of the weeds by between 90.14% and 96.11% and increased yield by up to 365% compared with the weedy control. Herbicide-only treatments were less effective in sustaining yield and suppressing weeds. The findings emphasize that integrating chemical and mechanical control methods provides superior and more sustainable weed suppression, underscoring the importance of integrated weed management in sugar beet production systems.",
          "affiliation": "Department of Plant Protection, Agriculture Faculty, Malatya Turgut Ozal University, Malatya, Türkiye.",
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          "doi": "10.1371/journal.pone.0339856",
          "title": "Predictive modeling of sugar beet bolting via vernalization-intensity model and resilience assessment in diverse autumn cultivation environments.",
          "authorString": "Sadeghzadeh Hemayati S, Saremirad A, Nooshkam A, Yar-Ahmadi S, Abdipur M.",
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                "fullName": "Sadeghzadeh Hemayati S",
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                "fullName": "Yar-Ahmadi S",
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                      "affiliation": "Sugar Beet Research Department, Golestan Agricultural and Natural Resources Research and Education Center, AREEO, Gonbad, Iran."
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                "fullName": "Abdipur M",
                "firstName": "Moslem",
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                  "authorAffiliation": [
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                      "affiliation": "Seed & Plant Research Department, Chahar-Mahal Bakhtiary Agricultural and Natural Resources Research and Education Center, AREEO, Gachsaran, Iran."
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            "journal": {
              "title": "PloS one",
              "medlineAbbreviation": "PLoS One",
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          "abstractText": "Climate change and increasing pressure on water resources have renewed interest in autumn cultivation of sugar beet, a practice that benefits from seasonal precipitation and reduces dependence on irrigation. However, bolting remains a major limitation, substantially affecting yield stability and the economic viability of production. This study evaluated ten experimental sugar beet hybrids and two bolting-resistant control varieties across three environments over two cropping years (2022-2023 and 2023-2024). Randomized complete block design with four replications was implemented for agronomic evaluations. The vernalization-intensity model was used to estimate vernalization threshold (VT) and bolting sensitivity. Genotype BOL436 exhibited the highest VT (134 h) but also showed pronounced sensitivity to bolting. In contrast, genotypes BOL435 and BOL434, with similarly high VT values, displayed low bolting sensitivity and thus greater suitability for fluctuating winter conditions. Combined ANOVA revealed significant genotype and environment effects (P < 0.01) for all measured traits, while genotype-environment interaction (GEI) significantly influenced white sugar yield (WSY) and root yield (RY). Additive main effects and multiplicative interactions (AMMI) analysis indicated that the first two interaction principal components (IPCs) accounted for 75.20% of GEI variation in WSY, whereas IPC1 alone explained 57.60% for RY. WAASB-based stability analysis identified BOL375, BOL239, BOL376, and BOL068 as stable, high-performing genotypes for WSY, with BOL239, BOL375, BOL068, and BOL435 showing comparable superiority for RY. Results from the WAASBY index were consistent with these findings. Multi-trait stability index (MTSI) analysis further highlighted BOL434, BOL376, and BOL239 as the most stable genotypes across agronomic and qualitative traits. Overall, the results demonstrate that autumn cultivation, supported by robust modeling and stability analysis, can contribute to reduced irrigation needs, while the identified genotypes offer promising options for enhancing productivity and minimizing bolting risk in water-limited environments.",
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          "doi": "10.1038/s41598-026-38845-5",
          "title": "Synergistic effects of compost amendment and foliar nano-micronutrients on yield and quality of sugar beet grown in calcareous soil.",
          "authorString": "El-Gamal ISH, Salem ESR, El-Sharnoby HM, El-Sherief AE, Salem NFG, Zewail RMY, Badawy AA, El-Desouky HS.",
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            "dateOfPublication": "2026 Feb",
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              "title": "Scientific reports",
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          "abstractText": "Calcareous soils, characterized by high pH and low nutrient availability, pose significant challenges to sustainable sugar beet production. Combining organic soil amendments with advanced nano-fertilizers may offer a synergistic strategy to enhance crop productivity and quality in such marginal environments. A 2-year field study (2022/2023 and 2023/2024) was conducted using a split-plot design to evaluate the effects of three compost rates (0, 3, and 6 tons acre−1) and five foliar nano-micronutrient combinations (control, Fe + Mn, Fe + B, Mn + B, Fe + Mn+B applied at 100 mg L−1 each). Growth, physiological, yield, and technological quality parameters of sugar beet were analyzed. The integrated application of 6 tons compost acre−1 and the nano Fe + Mn+B mixture resulted in powerful synergistic effects, consistently outperforming all other treatments. This optimal combination maximized photosynthetic pigments (e.g., increased chlorophyll a by 27%), boosted antioxidant enzyme activities (catalase by 29%, peroxidase by 42%), and enhanced growth parameters, leading to a 55% greater leaf area index. Consequently, it achieved the highest sucrose content (up to 19.85%), extracted sugar percentage (17.25%), root yield (27.12 tons acre−1), and sugar yield (4.68 tons acre−1), representing yield increases of 28–32% and 63–69%, respectively, over the compost-only control. For optimal sugar beet productivity in calcareous soils, an integrated management approach is recommended, consisting of soil amendment with 6 tons of compost per acre supplemented by foliar application of a combined nano-iron, manganese, and boron mixture. This strategy effectively enhances soil health, plant physiological performance, and ultimately, sugar yield and quality, providing a sustainable pathway for cultivation in nutrient-deficient calcareous environments.",
          "affiliation": "Sugar Crops Research Institute, Agricultural Research Center, Giza, Egypt.",
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