BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

125 related articles for article (PubMed ID: 30369629)

  • 1. Seasonal forecasting of green water components and crop yield of summer crops in Serbia and Austria.
    Lalić B; Firanj Sremac A; Eitzinger J; Stričević R; Thaler S; Maksimović I; Daničić M; Perišić D; Dekić L
    J Agric Sci; 2018 Jul; 156(5):658-672. PubMed ID: 30369629
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Seasonal forecasting of green water components and crop yields of winter wheat in Serbia and Austria.
    Lalić B; Firanj Sremac A; Dekić L; Eitzinger J; Perišić D
    J Agric Sci; 2018 Jul; 156(5):645-657. PubMed ID: 30369628
    [TBL] [Abstract][Full Text] [Related]  

  • 3. On the reliability of seasonal climate forecasts.
    Weisheimer A; Palmer TN
    J R Soc Interface; 2014 Jul; 11(96):20131162. PubMed ID: 24789559
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Performance of the MARS-crop yield forecasting system for the European Union: Assessing accuracy, in-season, and year-to-year improvements from 1993 to 2015.
    van der Velde M; Nisini L
    Agric Syst; 2019 Jan; 168():203-212. PubMed ID: 30774183
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Water productivity of rainfed maize and wheat: A local to global perspective.
    Rattalino Edreira JI; Guilpart N; Sadras V; Cassman KG; van Ittersum MK; Schils RLM; Grassini P
    Agric For Meteorol; 2018 Sep; 259():364-373. PubMed ID: 30224833
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia.
    Madugundu R; Al-Gaadi KA; Tola E; Hassaballa AA; Kayad AG
    PLoS One; 2018; 13(2):e0192830. PubMed ID: 29432446
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Persistence versus dynamical seasonal forecasts of cereal crop yields.
    Bento VA; Russo A; Dutra E; Ribeiro AFS; Gouveia CM; Trigo RM
    Sci Rep; 2022 May; 12(1):7422. PubMed ID: 35523791
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The effect of inter-annual variability of consumption, production, trade and climate on crop-related green and blue water footprints and inter-regional virtual water trade: A study for China (1978-2008).
    Zhuo L; Mekonnen MM; Hoekstra AY
    Water Res; 2016 May; 94():73-85. PubMed ID: 26938494
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Water footprints and crop water use of 175 individual crops for 1990-2019 simulated with a global crop model.
    Mialyk O; Schyns JF; Booij MJ; Su H; Hogeboom RJ; Berger M
    Sci Data; 2024 Feb; 11(1):206. PubMed ID: 38355745
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting Crop Evapotranspiration by Integrating Ground and Remote Sensors with Air Temperature Forecasts.
    Pelosi A; Villani P; Falanga Bolognesi S; Chirico GB; D'Urso G
    Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32245028
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Lessons from integrated seasonal forecast-crop modelling in Africa: A systematic review.
    Mkuhlani S; Zinyengere N; Kumi N; Crespo O
    Open Life Sci; 2022; 17(1):1398-1417. PubMed ID: 36405235
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Forecasting Corn Yield With Machine Learning Ensembles.
    Shahhosseini M; Hu G; Archontoulis SV
    Front Plant Sci; 2020; 11():1120. PubMed ID: 32849688
    [TBL] [Abstract][Full Text] [Related]  

  • 13. On the accuracy of crop production and water requirement calculations: Process-based crop modeling at daily, semi-weekly, and weekly time steps for integrated assessments.
    Ammar ME; Davies EGR
    J Environ Manage; 2019 May; 238():460-472. PubMed ID: 30877939
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A high-resolution assessment of climate change impact on water footprints of cereal production in India.
    Mali SS; Shirsath PB; Islam A
    Sci Rep; 2021 Apr; 11(1):8715. PubMed ID: 33888847
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Projecting crop yield in northern high latitude area.
    Matsumura K
    Recent Pat Food Nutr Agric; 2014; 6(2):127-42. PubMed ID: 25733071
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Systems Modeling Approach to Forecast Corn Economic Optimum Nitrogen Rate.
    Puntel LA; Sawyer JE; Barker DW; Thorburn PJ; Castellano MJ; Moore KJ; VanLoocke A; Heaton EA; Archontoulis SV
    Front Plant Sci; 2018; 9():436. PubMed ID: 29706974
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Blue-green roofs with forecast-based operation to reduce the impact of weather extremes.
    Busker T; de Moel H; Haer T; Schmeits M; van den Hurk B; Myers K; Cirkel DG; Aerts J
    J Environ Manage; 2022 Jan; 301():113750. PubMed ID: 34597953
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Forecasting water temperature in lakes and reservoirs using seasonal climate prediction.
    Mercado-Bettín D; Clayer F; Shikhani M; Moore TN; Frías MD; Jackson-Blake L; Sample J; Iturbide M; Herrera S; French AS; Norling MD; Rinke K; Marcé R
    Water Res; 2021 Aug; 201():117286. PubMed ID: 34102597
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The impact of high temperature and drought stress on the yield of major staple crops in northern China.
    Zhu X; Liu T; Xu K; Chen C
    J Environ Manage; 2022 Jul; 314():115092. PubMed ID: 35460982
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Mixture EMOS model for calibrating ensemble forecasts of wind speed.
    Baran S; Lerch S
    Environmetrics; 2016 Mar; 27(2):116-130. PubMed ID: 27812298
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.