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  1. Urban Honey: A Review of Its Physical, Chemical, and Biological Parameters That Connect It to the Environment by Quiralte, David, Zarzo, Inmaculada, Fernández-Zamudio, María A., Barco, Héctor, Soriano, José M.

    Published 2023
    “…The reduction of wild bees generates several negative consequences for the agricultural and ecosystem contexts, although sometimes the farming reduces the probability of abandonment of the land. …”
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    Artículo
  2. Being close to a cow by Säfström, Ida

    Published 2019
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    Second cycle, A2E
  3. Soil greenhouse gas emissions from inorganic fertilisers and recycled oil palm waste products on Indonesian oil palm plantations by Rahman, Niharika, Brunn, Thilde Bech, Giller, Kenneth E., Magid, Jakob, Ven, Gerrie W. van de, Neergaard, Andreas de

    Published 2019
    “…The higher dose of urea led to a significantly higher N2O emissions with the emission factors ranging from 2.4‐2.7% in the long‐term experiment, which is considerably higher than the IPCC standard of 1%. …”
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    Journal Article
  4. Closing the yield gap: improving production efficiency in smallholder farms of Nile tilapia through selective breeding by Mengistu, Samuel

    Published 2023
    “…From Chapter 2 to 4, we generated information that can be used to optimize the current GIFT breeding program for Nile tilapia. …”
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    Tesis
  5. Phenotypic characterization, genetic diversity assessment in 6,778 accessions of Barley ( Hordeum vulgare L. ssp. vulgare) germplasm conserved in national genebank of India and dev... by Kaur, Vikender, Aravind, J., Manju, Jacob Sherry R., Kumari, Jyoti, Panwar, Bhopal S., Pal, Narendra, Rana, Jai C., Pandey, Anjula, Kumar, Ashok

    Published 2022
    “…Initially, seven independent core sets were derived using 3 core construction tools– MSTRAT, PowerCore, and Core Hunter 3 by employing the maximization method, heuristic sampling, and optimisation of average genetic distances, respectively. The core set-3 generated by Core Hunter 3 by simultaneous optimisation of diversity and representativeness, captured maximum genetic diversity of the whole collection as evident from the desirable genetic distance, variance difference percentage (VD; 87.5%), coincidence rate of range (CR; 94.27%) and variable rate of coefficient of variance (VR; 113.8%), which were more than threshold value of VD (80%), CR (80%), and VR (100%) required for good core collection. …”
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    Journal Article
  6. Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh by Tiwari, Varun, Tulbure, Mirela G., Caineta, Júlio, Gaines, Mollie D., Perin, Vinicius, Kamal, Mustafa, Krupnik, Timothy J., Md Abdullah Aziz, AFM Tariqul Islam

    Published 2024
    “…In-season rice area maps generated through this framework are crucial for timely decision-making regarding adaptive management in response to climatic stresses and forecasting area-wide productivity. …”
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    Journal Article
  7. Development and application of the GenoBaits WheatSNP16K array to accelerate wheat genetic research and breeding by Liu, Shengjie, Xiang, Mingjie, Wang, Xiaoting, Li, Jiaqi, Cheng, Xiangrui, Li, Huaizhou, Singh, Ravi Prakash, Bhavani, Sridhar, Huang, Shuo, Zheng, Weijun, Li, Chunlian, Yuan, Fengping, Wu, Jianhui, Han, Dejun, Kang, Zhensheng, Zeng, Qingdong

    Published 2025
    “…In this study, a new GenoBaits WheatSNP16K (GBW16K) GBTS array was designed using datasets generated by the wheat 660K SNP array and resequencing platforms in our previous studies. …”
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    Journal Article
  8. Watershed modeling for reducing future non-point source sediment and phosphorus load in the Lake Tana Basin, Ethiopia by Moges, M.A., Schmitter, Petra S., Tilahun, Seifu A., Steenhuis, Tammo S.

    Published 2018
    “…Furthermore, non-point source areas contributed to 2.7 kg ha-1 year-1 (29%) of DP at the outlet. The main runoff and sediment source areas identified using PED-WM were the periodically saturated runoff areas. …”
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    Journal Article

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