phenology

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1
Comment on: "Synchronizing biological cycles as key to survival under a scenario of global change: The Common quail (Coturnix coturnix) strategy" by Nadal, J., Ponz, C., Margalida, A.
Rodríguez-Teijeiro, José Domingo;García-Galea, Eduardo;Sardà-Palomera, Francesc;Jiménez-Blasco, Iren...
2018 The Science of the total environment DOI: S0048-9697(18)31082-... 220 views
2
Genetic differentiation in functional traits among European sessile oak populations.
Torres-Ruiz, J M;Kremer, A;Carins-Murphy, M R;Brodribb, T J;Lamarque, L J;Truffaut, L;Bonne, F;Ducou...
2019 Tree physiology DOI: tpz090 302 views
3
Precipitation intensity under a warming climate is threatening some Italian premium wines.
Di Carlo, Piero;Aruffo, Eleonora;Brune, William H;
2019 The Science of the total environment DOI: S0048-9697(19)32509-... 319 views
4
Field drought conditions impact yield but not nutritional quality of the seed in common bean (Phaseolus vulgaris L.).
Smith, Millicent R;Veneklaas, Erik;Polania, Jose;Rao, Idupulapati M;Beebe, Stephen E;Merchant, Andre...
2019 PloS one DOI: 10.1371/journal.pone... 290 views
5
Shifting perspectives on the impacts of phenotypic plasticity.
Wadgymar, Susana M;Austen, Emily J;
2019 The New phytologist DOI: 10.1111/nph.16210 313 views
6
Potential vulnerability of Moroccan apple orchard to climate change-induced phenological perturbations: effects on yields and fruit quality.
El Yaacoubi, Adnane;El Jaouhari, Nabil;Bourioug, Mohamed;El Youssfi, Lahcen;Cherroud, Sanâa;Bouabid,...
2019 international journal of biometeorology DOI: 10.1007/s00484-019-0... 270 views
7
Tomato's Green Gold: Bioeconomy Potential of Residual Tomato Leaf Biomass as a Novel Source for the Secondary Metabolite Rutin.
Junker-Frohn, Laura V;Lück, Manuel;Schmittgen, Simone;Wensing, Joana;Carraresi, Laura;Thiele, Björn;...
2019 ACS omega DOI: 10.1021/acsomega.9b0... 304 views
8
Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean.
Liao, Chunhua;Wang, Jinfei;Dong, Taifeng;Shang, Jiali;Liu, Jiangui;Song, Yang;
2019 The Science of the total environment DOI: S0048-9697(18)33759-... 351 views
9
Seasonal variation in preference dictates space use in an invasive generalist.
Paolini, Kelsey E;Strickland, Bronson K;Tegt, Jessica L;VerCauteren, Kurt C;Street, Garrett M;
2018 PloS one DOI: 10.1371/journal.pone... 262 views
10
Are phenological variations in natural teak (Tectona grandis) forests of India governed by rainfall? A remote sensing based investigation.
Ghosh, Surajit;Nandy, Subrata;Mohanty, Srutisudha;Subba, Rupesh;Kushwaha, S P S;
2020 Environmental monitoring and assessment DOI: 10.1007/s10661-019-7... 218 views
11
Yield and economic losses in maize caused by ambient ozone in the North China Plain (2014-2017).
Feng, Zhaozhong;Hu, Tingjian;Tai, Amos P K;Calatayud, Vicent;
2020 The Science of the total environment DOI: S0048-9697(20)31471-... 301 views
12
Phenological stages of Proso millet (Panicum miliaceum L.) encoded in BBCH scale.
Ventura, Francesca;Vignudelli, Marco;Poggi, Giovanni Maria;Negri, Lorenzo;Dinelli, Giovanni;
2020 international journal of biometeorology DOI: 10.1007/s00484-020-0... 181 views
13
Phenology-dependent cold exposure and thermal performance of Ostrinia nubilalis ecotypes.
Wadsworth, Crista B;Okada, Yuta;Dopman, Erik B;
2020 bmc evolutionary biology DOI: 10.1186/s12862-020-1... 400 views
14
Impact of water deficit stress in maize: Phenology and yield components.
Sah, R P;Chakraborty, M;Prasad, K;Pandit, M;Tudu, V K;Chakravarty, M K;Narayan, S C;Rana, M;Moharana...
2020 Scientific reports DOI: 10.1038/s41598-020-5... 248 views
15
A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level.
Jiang, Hao;Hu, Hao;Zhong, Renhai;Xu, Jinfan;Xu, Jialu;Huang, Jingfeng;Wang, Shaowen;Ying, Yibin;Lin,...
2020 Global change biology DOI: 10.1111/gcb.14885 209 views
16
Trends in maize (Zea mays L.) phenology and sensitivity to climate factors in China from 1981 to 2010.
Liu, Yujie;Qin, Ya;Wang, Huanjiong;Lv, Shuo;Ge, Quansheng;
2020 international journal of biometeorology DOI: 10.1007/s00484-019-0... 267 views
17
The effect of phenology on the carbon exchange process in grassland and maize cropland ecosystems across a semiarid area of China.
Du, Qun;Liu, HuiZhi;Li, Yaohui;Xu, LuJun;Diloksumpun, Sapit;
2019 The Science of the total environment DOI: S0048-9697(19)33818-... 224 views
18
Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region.
Sun, Chuanliang;Bian, Yan;Zhou, Tao;Pan, Jianjun;
2019 sensors DOI: E2401 251 views
19
Genomic prediction of maize yield across European environmental conditions.
Millet, Emilie J;Kruijer, Willem;Coupel-Ledru, Aude;Alvarez Prado, Santiago;Cabrera-Bosquet, Llorenç...
2019 nature genetics DOI: 10.1038/s41588-019-0... 286 views
20
Yielding to the image: How phenotyping reproductive growth can assist crop improvement and production.
Dreccer, M Fernanda;Molero, Gemma;Rivera-Amado, Carolina;John-Bejai, Carus;Wilson, Zoe;
2019 plant science : an international journal of experi... DOI: S0168-9452(17)31158-... 242 views

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Migration climate variables climate change plant functional traits adaptive capacity embolism resistance plant ecophysiology temperature co(2) precipitation grape harvest date natural selection flowering time elevational gradient season length yield apple chilling and heat requirements climate variation fruit quality