Results 11 to 20 of about 19,309 (262)

A phenological model for the soybean [PDF]

open access: yesWIT Transactions on Ecology and the Environment, Vol 106, 2007
Predicting the time of soybean flowering is a critical step for crop management practices and for the development of crop models. The main objective of this study was to quantify the effect of the photoperiod and of temperature on the duration of the different phenological periods (flowering, first pod and physiological maturity), and to evaluate the ...
A. Confalone   +4 more
openaire   +1 more source

Comparison of phenology models for predicting the onset of growing season over the Northern Hemisphere. [PDF]

open access: yesPLoS ONE, 2014
Vegetation phenology models are important for examining the impact of climate change on the length of the growing season and carbon cycles in terrestrial ecosystems. However, large uncertainties in present phenology models make accurate assessment of the
Yang Fu   +3 more
doaj   +1 more source

Modeling the Evolution of Insect Phenology

open access: yesBulletin of Mathematical Biology, 2008
Climate change is likely to disrupt the timing of developmental events (phenology) in insect populations in which development time is largely determined by temperature. Shifting phenology puts insects at risk of being exposed to seasonal weather extremes during sensitive life stages and losing synchrony with biotic resources.
Yurk, B. P., Powell, James A.
openaire   +4 more sources

An integrated approach of field, weather, and satellite data for monitoring maize phenology

open access: yesScientific Reports, 2021
Efficient, more accurate reporting of maize (Zea mays L.) phenology, crop condition, and progress is crucial for agronomists and policy makers. Integration of satellite imagery with machine learning models has shown great potential to improve crop ...
Luciana Nieto   +4 more
doaj   +1 more source

Temperature driven development of the rice brown planthopper, Nilaparvata lugens (Stål) (Hemiptera: Delphacidae)

open access: yesJournal of Agrometeorology, 2019
Temperature driven development of rice brown planthopper (BPH), Nilaparvata lugens (Stål) (Hemiptera: Delphacidae) population (biotype 4) was examined at seven constant temperatures (15, 18, 20, 25, 30, 32 and 35°C). Complete development of BPH from egg
JHANSILAKSHMI VATTIKUTI   +7 more
doaj   +1 more source

Characterizing and forecasting the responses of tropical forest leaf phenology to El Nino by machine learning algorithms.

open access: yesPLoS ONE, 2021
Climate change and global warming have serious adverse impacts on tropical forests. In particular, climate change may induce changes in leaf phenology.
Taninnuch Lamjiak   +5 more
doaj   +1 more source

Genome-Based Prediction of Time to Curd Induction in Cauliflower

open access: yesFrontiers in Plant Science, 2018
The development of cauliflower (Brassica oleracea var. botrytis) is highly dependent on temperature due to vernalization requirements, which often causes delay and unevenness in maturity during months with warm temperatures.
Arne Rosen   +3 more
doaj   +1 more source

PHENOLOGICAL RELATIONSHIPS OF MODEL AND MIMIC SALAMANDERS [PDF]

open access: yesEvolution, 1981
Models and mimics may be temporally isolated as long as both model and mimic are contacted by a single predator that learns to avoid the model and subsequently contacts and avoids the mimic. Bobisud (1978) developed a mathematical model to explain the advantage to the mimic in delaying its activity, and Huheey (1980) extended the same idea to explain ...
openaire   +2 more sources

Corn Growth and Phenology Modeling

open access: yes, 2022
Abstract To obtain predictions of the dynamic processes that occur during the crop cycle, agricultural modeling techniques are being adopted. The validation of a model for a given area, in the environmental conditions in which the culture is exposed, is important to assess the adequacy of the dynamic system to reality.
Adelaide Cristielle Barbosa Silva   +5 more
openaire   +1 more source

Modelling within-region spatiotemporal variability in grapevine phenology with high resolution temperature data

open access: yesOENO One, 2019
Aim: While it is well recognised that climate can vary spatially so that grapevine phenology significantly varies within a winegrowing region, the magnitude of temporal variability in climate determining factors to engender a significant difference in ...
Andrew Hall, John Blackman
doaj   +1 more source

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