Search Results - "physiology"

  1. Locally available protein sources in diets of Nile tilapia (Oreochromis niloticus) by Gustavsson, Hedvig

    Published 2016
    Subjects: “…Animal physiology - Nutrition…”
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    Second cycle, A2E
  2. Hanteringens påverkan på djurvälfärden innan slakt by Vidzem, Sara

    Published 2016
    Subjects: “…Animal physiology - Nutrition…”
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    First cycle, G2E
  3. Inverkan av foderstatens sammansättning på mag-tarmkanalens mikrobiota hos häst by Petters, Frida

    Published 2016
    Subjects: “…Animal physiology and biochemistry…”
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    First cycle, G2E
  4. Animal Health and Productivity Among Dairy Cattle in Bihar, India by Hannfors, Alexander

    Published 2016
    Subjects: “…Animal physiology - Nutrition…”
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    Second cycle, A2E
  5. Årstidsvariationen i leverstatus hos nötkreatur som konsumerar Östersjövatten by Eklund, Sandra

    Published 2012
    Subjects: “…Animal physiology and biochemistry…”
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    Second cycle, A2E
  6. Mechanistic understanding of iron toxicity tolerance in contrasting rice varieties from Africa: 1. Morpho-physiological and biochemical responses by Onyango. D.A., Entila, F., Dida, M.M., Ismail, A.M., Drame, K.N.

    Published 2019
    “…The aim of this study was to determine the physiological and biochemical mechanisms underlying tolerance to Fe toxicity in contrasting rice varieties adapted to African environments. …”
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    Journal Article
  7. Physiological responses of cowpea simultaneously exposed to water deficit stress and varying light intensities at vegetative and reproductive growth stages by Adeniyi, O.I., Adejumo, S.A., Fofana, M., Adegbehingbe, F.T.

    Published 2022
    “…Crops’ response to single stress also differs from that of combined stresses. The morpho-physiological responses of two cowpea varieties (IT89KD-288 and IT99K573-1-1) to a combination of stresses (water deficit stress and high light intensity) were investigated at different growth stages. …”
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    Journal Article
  8. Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat by Shahi, Dipendra, Jia Guo, Pradhan, Sumit, Afridi, Jahangir Khan, Avci, Muhsin, Khan, Naeem, McBreen, Jordan, Guihua Bai, Reynolds, Matthew P., Foulkes, John Michael, Babar, Md Ali

    Published 2022
    “…In this study, we assessed the potential use of a MT genomic prediction model by incorporating two physiological traits (canopy temperature, CT and normalized difference vegetation index, NDVI) to predict 5 complex primary traits (harvest index, HI; grain yield, GY; grain number, GN; spike partitioning index, SPI; fruiting efiiciency, FE) using two cross-validation schemes CV1 and CV2. …”
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    Journal Article
  9. Novel and transgressive salinity tolerance in recombinant inbred lines of rice created by physiological coupling-uncoupling and network rewiring effects by Pabuayon, Isaiah C. M., Kitazumi, Ai, Cushman, Kevin R., Singh, Rakesh Kumar, Gregorio, Glenn B., Dhatt, Balpreet, Zabet-Moghaddam, Masoud, Walia, Harkamal, de los Reyes, Benildo G.

    Published 2021
    “…By systems-level profiling of the IR29 × Pokkali recombinant inbred population of rice, we addressed the hypothesis that novel salinity tolerance phenotypes are created by reconfigured physiological networks due to positive or negative coupling-uncoupling of developmental and physiological attributes of each parent. …”
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    Journal Article

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