Results 61 to 70 of about 910,592 (309)
Explanatory Models in Crop Physiology
INTRODUCTION 340 THE MODELING PROCESS 343 HIERARCHIC LEVELS IN CROP GROWTH MODELS 345 Community/Ecosystem Level 346 Organ/Organisma/ Level 349 Cell/Tissue Level 354 SPECIAL ISSUES IN PHYSIOLOGICAL MODELING 355 Stochastic Versus Deterministic Simulation 355 Adaptation 356 APPLICATIONS 357 Productivity and Bioclimatology 358 ...
Loomis, R.S., Rabbinge, R., Ng, E.
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Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer
Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani +4 more
wiley +1 more source
Simulating Root Density Dynamics and Nitrogen Uptake -Field Trials and Root Model Approach in Denmark [PDF]
Plant soil and atmosphere models are commonly used to predict crop yield and associated environmental consequences. Such models often include complex modelling of water movement, soil organic matter turnover and above ground plant growth.
Jensen, Lars Stoumann +3 more
core
Function‐driven design of a surrogate interleukin‐2 receptor ligand
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang +9 more
wiley +1 more source
HETEROSKEDASTICITY IN CROP YIELD MODELS
This study examines three alternative models of correcting for heteroskedasticity in wheat yield: the time trend variance, the GARCH, and an econometric model that includes the potential sources of heteroskedasticity. Nonnested test results suggest that modeling the sources of heteroskedasticity is the preferred procedure.
Yang, Seung-Ryong +5 more
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Recalibrating a sugarcane crop model using thermal infrared data [PDF]
Coupling remotely sensed data with crop model is known to improve the estimation of crop variables by the model. The recalibration coupling approach tends to reduce the differences between observation and simulation by optimizing the value of one of the ...
Bégué, Agnès +5 more
core
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
Assessment of impacts of climate change on rice and wheat in the Indo-Gangetic plains
In this paper, the climate change scenarios of A2 and B2 for 2070-2100 time scale (denoted as 2080) for several key locations of India and its impact on rice and wheat crops based on regional climate model (PRECIS) were described. The PRECIS projects an
MANJU ZACHARIAS +4 more
doaj +1 more source
Since maize, peanut, and cotton are economically valuable crops in the southeast United States, their yield amount changes in a future climate are attention-grabbing statistics demanded by associated stakeholders and policymakers.
D. W. Shin +5 more
doaj +1 more source
Crop growth models without hormones.
For the simulation of organ formation and assimilate partitioning, information is required on the current level of activities like CO2 assimilation and the growth of various organs, as well as state variables such as leaf and root wt., N content and carbohydrate reserves and exogenous variables like radiation and temp.
de Wit, C.T., Penning de Vries, F.W.T.
openaire +2 more sources

