Results 251 to 260 of about 50,129 (308)

Correction: Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols. [PDF]

Front Artif Intell
Taniguchi S, Sakamoto T, Nakamura H, Nonoue Y, Guan D, Fukuda A, Fukuda H, Wada KC, Ishii T, Yonemaru JI, Ogawa D.   +10 more
europepmc   +1 more source

Phenology, thermal requirement, production, costs and profitability of blackberry (Rubus spp.), “Tupy” cv.

, 2015
Wesley Alves Martins
openalex   +1 more source

Evolution of gene expression in seasonal environments. [PDF]

Elife
Kudo SN, Ikezaki Y, Kusumi J, Hirakawa H, Isobe S, Satake A.   +5 more
europepmc   +1 more source

Comparative study of seed germinations and phenology of population of the invasive weed Solanum rostratum Dunal in Israel. [PDF]

Sci Rep
Abu-Nassar J, Matzrafi M.
europepmc   +1 more source

Shifting spring ephemeral pollination windows under climate change - a three-body problem. [PDF]

New Phytol
Xie Y, Thammavong HT, Turner AL, Turner BI, Park DS.   +4 more
europepmc   +1 more source

Establishing the phenological development stages of Sophora moorcroftiana using the BBCH scale. [PDF]

Sci Rep
Wan Y, Xin F, Bianba J, Guo X, Xie H, Zhang C, Liu J.   +6 more
europepmc   +1 more source

Predicting the Phenology of Herbivorous Insects. [PDF]

Ecol Evol
Yang Z, Woodruff E, Held D, Hardy NB.
europepmc   +1 more source

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Phenology and phenological variability of Mexican ecosystems

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
Time senes of vegetation index data provide useful information of vegetation activity. These curves can be used for retrieving key phenological stages such as the day of season onset, peak, and end. These parameters allow for better understanding the landscape and, if conducted for several years, its natural variability or human-induced change.
ReneR. Colditz, Gerardo Lopez, Pedro Maeda, Isabel Cruz, Rainer Ressl   +4 more
openaire   +1 more source

Lake Ice Phenology

2009
In Chapter 5 of this book, it is shown that the formation of ice on the surface of a lake (‘ice-on’) and its thawing and ultimate disappearance (‘ice-off’) are complex phenomena governed by mechanisms that involve many interacting meteorological (and some non-meteorological) forcing factors. Linking ice phenology – the timing of ice-on and ice-off – to
Livingstone, David M., Adrian, Rita, Blenckner, Thorsten, George, Glen, Weyhnmeyer, Gesa A.   +4 more
openaire   +2 more sources