Works matching DE "AGRICULTURAL climatology"
Results: 2183
Migration of wheat stripe rust from the primary oversummering region to neighboring regions in China.
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- Communications Biology, 2025, v. 8, n. 1, p. 1, doi. 10.1038/s42003-025-07789-3
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CLIMATIC FLUCTUATIONS AND THE DIFFUSION OF AGRICULTURE.
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- Review of Economics & Statistics, 2015, v. 97, n. 3, p. 589, doi. 10.1162/REST_a_00461
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Genetic analysis of fiber quality traits in short season cotton ( Gossypium hirsutum L.).
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- Euphytica, 2015, v. 202, n. 1, p. 97, doi. 10.1007/s10681-014-1226-x
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Effect of vernalization and photoperiod on flax flowering time.
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- Euphytica, 2014, v. 195, n. 2, p. 279, doi. 10.1007/s10681-013-0996-x
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Segregation and associations of enological and agronomic traits in Graciano × Tempranillo wine grape progeny (<i>Vitis vinifera</i> L.)
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- Euphytica, 2014, v. 195, n. 2, p. 259, doi. 10.1007/s10681-013-0994-z
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Selection in early generations and the occurrence of heterosis for the character root distribution.
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- Euphytica, 2013, v. 190, n. 3, p. 335, doi. 10.1007/s10681-012-0746-5
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Molecular markers and doubled haploids in European plant breeding programmes.
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- Euphytica, 2007, v. 158, n. 3, p. 305, doi. 10.1007/s10681-006-9239-8
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Regime Shifts in the Sahara and Sahel: Interactions between Ecological and Climatic Systems in Northern Africa.
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- Ecosystems, 2003, v. 6, n. 6, p. 524, doi. 10.1007/s10021-002-0227-0
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Phenological research of climate changes in the north part of Lithuania by the phenological garden of Šiauliai University.
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- International Journal of Biometeorology, 2017, v. 61, n. 2, p. 293, doi. 10.1007/s00484-016-1211-2
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CropWatch agroclimatic indicators (CWAIs) for weather impact assessment on global agriculture.
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- International Journal of Biometeorology, 2017, v. 61, n. 2, p. 199, doi. 10.1007/s00484-016-1199-7
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Contributions of cultivar shift, management practice and climate change to maize yield in North China Plain in 1981-2009.
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- International Journal of Biometeorology, 2016, v. 60, n. 7, p. 1111, doi. 10.1007/s00484-015-1104-9
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Rubber yield prediction by meteorological conditions using mixed models and multi-model inference techniques.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1747, doi. 10.1007/s00484-015-0983-0
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Seasonal differences in climate in the Chianti region of Tuscany and the relationship to vintage wine quality.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1799, doi. 10.1007/s00484-015-0988-8
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Spatial and temporal variability of cv. Tempranillo phenology and grape quality within the Ribera del Duero DO (Spain) and relationships with climate.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1849, doi. 10.1007/s00484-015-0992-z
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Monsoon variability, crop water requirement, and crop planning for kharif rice in Sagar Island, India.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1891, doi. 10.1007/s00484-015-0995-9
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Modeling sugarcane ripening as a function of accumulated rainfall in Southern Brazil.
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- International Journal of Biometeorology, 2015, v. 59, n. 12, p. 1913, doi. 10.1007/s00484-015-0998-6
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Berry composition and climate: responses and empirical models.
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- International Journal of Biometeorology, 2014, v. 58, n. 6, p. 1207, doi. 10.1007/s00484-013-0715-2
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Effects of precipitation and temperature on crop production variability in northeast Iran.
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- International Journal of Biometeorology, 2011, v. 55, n. 3, p. 387, doi. 10.1007/s00484-010-0348-7
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MJO teleconnections to crop growing seasons.
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- Climate Dynamics, 2020, v. 54, n. 3/4, p. 2203, doi. 10.1007/s00382-019-05109-0
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Long-term variability in the date of monsoon onset over western India.
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- Climate Dynamics, 2013, v. 40, n. 11/12, p. 2589, doi. 10.1007/s00382-012-1494-x
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Climate and the evolution of annual/perennial life-histories in Nemesia (Scrophulariaceae).
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- Plant Systematics & Evolution, 2008, v. 270, n. 1/2, p. 39, doi. 10.1007/s00606-007-0612-4
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Climate change impacts and adaptations for wheat employing multiple climate and crop modelsin Pakistan.
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- Climatic Change, 2020, v. 163, n. 1, p. 253, doi. 10.1007/s10584-020-02855-7
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Managing climate risk through crop diversification in rural Kenya.
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- Climatic Change, 2020, v. 162, n. 3, p. 1107, doi. 10.1007/s10584-020-02727-0
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Global bioclimatic suitability for the fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae), and potential co-occurrence with major host crops under climate change scenarios.
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- Climatic Change, 2020, v. 161, n. 4, p. 555, doi. 10.1007/s10584-020-02722-5
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Long-run trend in agricultural yield and climatic factors in Europe.
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- Climatic Change, 2020, v. 159, n. 3, p. 385, doi. 10.1007/s10584-019-02622-3
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Effects of climate change on sugarcane production in the state of Paraíba (Brazil): a panel data approach (1990–2015).
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- Climatic Change, 2019, v. 154, n. 1/2, p. 195, doi. 10.1007/s10584-019-02424-7
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Effects of climate change and adaptation options on winter wheat yield under rainfed Mediterranean conditions in southern Portugal.
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- Climatic Change, 2019, v. 154, n. 1/2, p. 159, doi. 10.1007/s10584-019-02419-4
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Making sense of maladaptation: Nordic agriculture stakeholders' perspectives.
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- Climatic Change, 2019, v. 153, n. 1/2, p. 107, doi. 10.1007/s10584-019-02391-z
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Assessment of projected agro-climatic indices over Awun river basin, Nigeria for the late twenty-first century.
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- Climatic Change, 2018, v. 151, n. 3/4, p. 445, doi. 10.1007/s10584-018-2295-y
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The impact of future climate change and potential adaptation methods on Maize yields in West Africa.
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- Climatic Change, 2018, v. 151, n. 2, p. 205, doi. 10.1007/s10584-018-2290-3
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Attributing high-impact extreme events across timescales—a case study of four different types of events.
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- Climatic Change, 2018, v. 149, n. 3/4, p. 399, doi. 10.1007/s10584-018-2258-3
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Evaluating the performance of RegCM4.0 climate model for climate change impact assessment on wheat and rice crop in diverse agro-climatic zones of Uttar Pradesh, India.
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- Climatic Change, 2018, v. 149, n. 3/4, p. 503, doi. 10.1007/s10584-018-2255-6
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Climate zones determine where substantial increases of maize yields can be attained in Northeast China.
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- Climatic Change, 2018, v. 149, n. 3/4, p. 473, doi. 10.1007/s10584-018-2243-x
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Crop modelling: towards locally relevant and climate-informed adaptation.
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- Climatic Change, 2018, v. 147, n. 3/4, p. 475, doi. 10.1007/s10584-018-2160-z
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Unique challenges and opportunities for northeastern US crop production in a changing climate.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 231, doi. 10.1007/s10584-017-2109-7
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Vulnerability of specialty crops to short-term climatic variability and adaptation strategies in the Midwestern USA.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 145, doi. 10.1007/s10584-017-2066-1
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Vulnerability of grain crops and croplands in the Midwest to climatic variability and adaptation strategies.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 263, doi. 10.1007/s10584-017-1997-x
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Vulnerability of crops and croplands in the US Northern Plains to predicted climate change.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 219, doi. 10.1007/s10584-017-1989-x
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Vulnerability of Southern Plains agriculture to climate change.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 201, doi. 10.1007/s10584-017-1965-5
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Evaluating opportunities for an increased role of winter crops as adaptation to climate change in dryland cropping systems of the U.S. Inland Pacific Northwest.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 247, doi. 10.1007/s10584-017-1950-z
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A crop and cultivar-specific approach to assess future winter chill risk for fruit and nut trees.
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- Climatic Change, 2016, v. 137, n. 3/4, p. 541, doi. 10.1007/s10584-016-1692-3
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Learning the hard way: a case study of an attempt at agricultural transformation in response to climate change.
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- Climatic Change, 2016, v. 137, n. 3/4, p. 557, doi. 10.1007/s10584-016-1698-x
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Simulation of Maize Biomass and Yield in An Giang, Vietnam, under Climate Variabilities.
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- Trends in Sciences, 2024, v. 21, n. 3, p. 1, doi. 10.48048/tis.2024.7490
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Effect of Biostimulants on Vegetative and Productive Response of Duke Blueberry.
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- Ecological Engineering & Environmental Technology (EEET), 2024, v. 25, n. 6, p. 66, doi. 10.12912/27197050/186666
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اثر التغير المناخي في الإنتاج الزراعي في محافظة ذي قار.
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- Adab Al-Basrah, 2023, v. 106, n. 1, p. 238
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Genetic diversity in litchi (Litchi chinensis) for morphological and physico-chemical traits.
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- Current Horticulture, 2023, v. 11, n. 1, p. 33, doi. 10.5958/2455-7560.2023.00007.9
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Correlation coefficient studies in pole type lablab bean (Lablab purpureus).
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- Current Horticulture, 2022, v. 10, n. 2, p. 71, doi. 10.5958/2455-7560.2022.00036.X
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EFFECT OF AGROCLIMATE ON SEED AND SEEDLING TRAITS OF TREE BEAN (Parkia timoriana (DC) Merr.) IN NORTH EAST INDIA.
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- Indonesian Journal of Forestry Research, 2019, v. 6, n. 1, p. 17, doi. 10.59465/ijfr.2019.6.1.17-26
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APTITUDE OF COFFEE (COFFEA ARABICA L.) AND CACAO (THEOBROMA CACAO L.) CROPS CONSIDERING CLIMATE CHANGE.
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- Granja, de Ciencias de la Vida, 2022, v. 36, n. 2, p. 60, doi. 10.17163/lgr.n36.2022.05
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Weather derivatives for managing weather and climate risk in agriculture.
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- International Journal of Financial Engineering, 2020, v. 7, n. 4, p. N.PAG, doi. 10.1142/S2424786320500498
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