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  1. 4441
  2. 4442
  3. 4443

    Genome-Wide Identification and Expression Analysis of PkNRT Gene Family in Korean Pine (<i>Pinus koraiensis</i>) by Xinyu Zhao, Haibo Wu, Boyang Li, Pengyang Wang, Peng Zhang, Hailong Shen, Jianfei Yang

    Published 2025-01-01
    “…The tissue-specific expression analysis indicated that most <i>PkNRTs</i> showed differential expression in six vegetative tissues. Furthermore, a significantly greater number of lateral roots was observed in seedlings under nitrogen-deficient conditions, accompanied by an increase in both total root biomass and root length. …”
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  4. 4444
  5. 4445

    Adapting the Planetary Health Diet Index for children and adolescents by Carolina Venegas Hargous, Liliana Orellana, Claudia Strugnell, Camila Corvalan, Steven Allender, Colin Bell

    Published 2023-12-01
    “…Children’s scores were very low for nuts & peanuts, legumes, dark green vegetables, whole cereals, tubers & potatoes, and added sugars components across both indices, but were higher for dairy products and eggs & white meats components when using the PHDI-C due to adjustments made to ensure nutritional adequacy. …”
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  6. 4446
  7. 4447
  8. 4448

    The impact of precipitation, temperature, and soil moisture on wheat yield gap quantification: evidence from Morocco by Lahcen Ousayd, Terence Epule Epule, Salwa Belaqziz, Victor Ongoma, Abdelhakim Amazirh, Abdelghani Chehbouni

    Published 2025-01-01
    “…Soil moisture was positively correlated with wheat yields throughout all growing periods, showing the strongest impacts during the early vegetative development phase. Additionally, losses due to wheat yield gaps were considerable, ranging between $ 194 and 891 per hectare. …”
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  9. 4449
  10. 4450

    Combining UAV Remote Sensing with Ensemble Learning to Monitor Leaf Nitrogen Content in Custard Apple (<i>Annona squamosa</i> L.) by Xiangtai Jiang, Lutao Gao, Xingang Xu, Wenbiao Wu, Guijun Yang, Yang Meng, Haikuan Feng, Yafeng Li, Hanyu Xue, Tianen Chen

    Published 2024-12-01
    “…The noise-filtered imagery is then used to extract a number of vegetation indices (VIs) and textural features (TFs). …”
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  11. 4451

    Earliness and morphotypes of common wheat cultivars of Western and Eastern Siberia by S. E. Smolenskaya, V. M. Efimov, Y. V. Kruchinina, B. F. Nemtsev, G. Y. Chepurnov, E. S. Ovchinnikova, I. A. Belan, E. V. Zuev, Chenxi Zhou, V. V. Piskarev, N. P. Goncharov

    Published 2022-11-01
    “…Principal component analysis involving our own and published data has been applied to investigate 98 commercial common wheat cultivars from Western and Eastern Siberia comparing their morphotypes; cultivar zoning time; length of the vegetation period; 1000-grain weight, and inheritance of spring growth habit. …”
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  12. 4452

    Prognostic signature of multimorbidity, geriatric syndromes and resources cluster in older in- and outpatients: a pooled secondary analysis with a 6-month follow-up by Thomas Benzing, Jill Stegemann, Anna Maria Affeldt, Luisa Mück, Anne Ferring, Laura Gerhards, Lena Pickert, Annika Bausch, Philipp Antczak, M Cristina Polidori

    Published 2024-12-01
    “…Additionally, two clusters were identified pertaining to the CIRS, encompassing sensory-vegetative and heart-kidney morbidity. Patients within the iatrogenic cluster exhibited significantly higher MPI and readmissions during follow-up compared with those outside this cluster (p&lt;0.001). …”
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  13. 4453

    Investigating the contribution of understory to radiative transfer simulations through reconstructing 3-D realistic temperate broadleaf forest scenes based on multi-platform laser... by Xiaohan Lin, Ainong Li, Jinhu Bian, Zhengjian Zhang, Xi Nan, Limin Chen, Yi Bai, Yi Deng, Siyuan Li

    Published 2025-06-01
    “…Notably, the findings also indicate that the reflectance of the forest canopy definitely capture less understory vegetation information as the simulation resolution decreases, for instance, as the simulated resolution decreased from 1 m to 30 m, the absolute difference in the red band between the multi-layered BRF and L50 BRF decreased from 23.93% to 10.22% when using the boundary-based approach. …”
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  14. 4454

    Assessing and predicting the value of ecosystem services in Sanya City, Hainan Island, China by Peihong Song, Qiu Yang, Wenyin Wu, Tianyan Su, Yamin Jiang, Jingli Lu, Zhongyi Sun, Jie Zhang, Rui Yu, Peng Wang, Lan Wu, Huai Yang, Wenjie Liu

    Published 2025-01-01
    “…This study found that Gross Domestic Product (GDP), Normalized Difference Vegetation Index (NDVI), and population had significant impacts on ESV, while forest and water areas exhibited notable individual impact. …”
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  15. 4455

    Assessment of Satellite-Derived FAPAR Products With Different Spatial Resolutions for Gross Primary Productivity Estimation by Xiyu Zhang, Huaan Jin, Wei Zhao, Gaofei Yin, Xinyao Xie, Jianrong Fan

    Published 2025-01-01
    “…In addition, 75&#x0025; of the selected sites exhibited enhanced <italic>R</italic><sup>2</sup> values with Hi-GLASS FAPAR, demonstrating its application potential in GPP estimations across different vegetation types. Specifically, crop sites exhibited the most notable improvements, with an <italic>R</italic><sup>2</sup> increase of 0.16 and an RMSE decrease of 0.70 gC&#x22C5;m<sup>&#x2212;2</sup>&#x22C5;day<sup>&#x2212;1</sup>. …”
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  16. 4456

    Causally inferred evidence of the impact of green and blue spaces (GBS) on maternal and neonatal health: a systematic review and meta-analysis by Rukun K S Khalaf, Selin Akaraci, Faye D Baldwin, Rebecca S Geary, Ruwanthi Kolamunnage-Dona, Ruth F Hunter, Sarah E Rodgers

    Published 2025-01-01
    “…The most reported green space variable was the Normalized Difference Vegetation Index (NDVI) ( n = 46, 74%). Our meta-analyses results indicated that greater greenness is protective against LBW (OR = 0.95, 95% CI: 0.92–0.98, p = 0.002), SGA (OR = 0.95, 95% CI: 0.92–0.99, p = 0.01), PTB (OR = 0.92, 95% CI: 0.88–0.97, p = 0.001), and affects birthweight ( β = 13.02 g, 95% CI: 9.99–16.05, p < 0.0001).…”
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  17. 4457

    Mollusk Diversity in Percut Sei Tuan Silvofishery Ponds, North Sumatra, Indonesia by Ipanna Enggar Susetya, Mohammad Basyuni, Muhammad Rakezza Rifzy Rifzy, Rizka Amelia, Yuntha Bimantara, Rusdi Leidonald, Amanatul Fadhilah

    Published 2022-09-01
    “…Mollusk sampling was carried out on sub-plots measuring 1 x 1 m² in the mangrove vegetation transect, and mangrove density was measured by counting the number of trees directly on all of the mangrove species at two silvofishery ponds. …”
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  18. 4458

    Prevalence of Hypertension and Associated Factors in Lubumbashi City, Democratic Republic of Congo: A Community-Based Cross-Sectional Study by Jacques Mbaz Musung, Placide Kambola Kakoma, Clarence Kaut Mukeng, Stéphane Lubamba Tshimanga, Jeef Paul Munkemena Banze, Nathalie Kayomb Kaj, Martin Kazadi Kamuna, Jimmy Kasali Mwamba, Dophra Ngoy Nkulu, Philippe Bianga Katchunga, Olivier Mukuku, Emmanuel Kiyana Muyumba

    Published 2021-01-01
    “…After logistic regression, the risk of hypertension increased with age >50 years (aOR = 5.85 [5.19–6.60]), overweight (aOR = 1.25 [1.11–1.41]), obesity (aOR = 1.25 [1.11–1.41]), central obesity (aOR = 1.37 [1.16–1.61]), diabetes mellitus (aOR = 2.19 [1.63–2.95]), alcohol consumption (aOR = 1.21 [1.05–1.39]), nonconsumption of vegetables (aOR = 1.35 [1.02–1.80]), and history of stroke (aOR = 2.57 [1.88–3.51]). …”
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  19. 4459

    Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth by Tingxuan Zhuang, Ben Zhao, Syed Tahir Ata-Ul-Karim, Gilles Lemaire, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao

    Published 2025-03-01
    “…Previous studies used the allometric relationship between plant dry mass (PDM) and plant saturated water accumulation (SWAP) to develop critical SWAP curves, which were employed to assess the water status of winter wheat and maize during their vegetative growth phase. However, it remains uncertain whether this method is applicable to the ear of winter wheat during its reproductive growth phase. …”
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