Results 61 to 70 of about 2,200,665 (307)

Downscaling Regional Crop Yields to Local Scale Using Remote Sensing

Agriculture, 2020
Local-scale crop yield datasets are not readily available in most of the developing world. Local-scale crop yield datasets are of great use for risk transfer and risk management in agriculture.
Paresh B. Shirsath, Vinay Kumar Sehgal, Pramod K. Aggarwal   +2 more
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

Molecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla, Christopher Dirks, Caroline Eiden, Sonja K. Fesenmayer, Femke M. Hormann, Yolande Klootsema, Ingrid Lilienthal, Si Min Zhang, Nikolas Herold, Sean G. Rudd   +9 more
wiley   +1 more source

STRUCTURAL MODELS OF AREA YIELD CROP INSURANCE [PDF]

Earlier analyses of area yield crop insurance schemes used a reduced form linear relationship between individual and area yield. However, without knowledge of the structural framework, the analysis and design of alternative schemes is problematic.
Ramaswami, Bharat, Roe, Terry L.
core  

Crop Yield Prediction

2023 4th International Conference on Intelligent Technologies (CONIT)
Crop yield prediction is a critical aspect of modern agriculture, as it directly impacts food security, economic planning, and resource management. Traditional methods of yield estimation often rely on historical data and manual analysis, which are limited in handling complex relationships between environmental and agricultural factors. Recent research
Gupta, Pradhuman, Yadav, Priyanshi, Dixit, Pushkar   +2 more
openaire   +2 more sources

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

Molecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan, Veronika M Metzler, Simone de Brot, Corinne L Woodcock, Anna E Harris, Jennifer Lothion‐Roy, Emeli M Nilsson, Atara Ntekim, Michael S Toss, Jenny L Persson, Francesca Khani, Brian D Robinson, Lorraine J Gudas, Emad Rakha, David M Heery, Catrin S Rutland, Nigel P Mongan   +16 more
wiley   +1 more source

Modeling Crop Yield Distributions from Small Samples [PDF]

Accurately modeling crop yield distributions is important for estimation of crop insurance premiums and farm risk-management decisions. A major challenge in the modeling has been due to small sample size.
Upadhyay, Bharat Mani, Smith, Elwin G.
core  

Leveraging inbred and hybrid association mapping coupled with transcriptome analyses to decipher the genetics underlying the general combining ability of maize flowering time

Industrial Crops and Products
Maize flowering time serves as a critical indicator for crop rotation, synchronization in hybrid seed production, climate resilience, and yield prediction in southwest China. Despite numerous literature reporting causal variants responsible for flowering
Man Zhang, Xianbin Hou, Yangjing Li, Zhonghua Peng, Qiang Yi, Yulin Jiang   +5 more
doaj   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

Molecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura, Tadahiro Kuribayashi, Johannes Brägelmann, Sachi Okawa, Masataka Taoka, Shunta Mori, Tomoka Nishimura, Takaaki Tanaka, Go Makimoto, Kiichiro Ninomiya, Kammei Rai, Eiki Ichihara, Ryohei Katayama, Katsuyuki Hotta, Masahiro Tabata, Yosuke Togashi, Yoshinobu Maeda, Martin L. Sos, Katsuyuki Kiura, Kadoaki Ohashi   +19 more
wiley   +1 more source

Modeling Heteroskedasticity of Crop Yield Distributions: Implications for Normality [PDF]

The paper analyzes the extent to which ignorance of heteroskedasticity or its inadequate modeling would result in misleading statistical inferences about crop yield distribution.
Kapiamba, Luabeya F.
core