Zobrazeno 1 - 10
of 3 334
pro vyhledávání: '"CROP MODEL"'
Publikováno v:
Agricultural Water Management, Vol 304, Iss , Pp 109077- (2024)
Implementing optimized irrigation strategies to achieve acceptable wheat yield while conserving groundwater resources is critical for extensively irrigated regions. Field experiments regarding winter wheat irrigation management were conducted for two
Externí odkaz:
https://doaj.org/article/ba8dea8c2e0c46519cb5003bfdd52c0f
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102785- (2024)
Detailed sowing and harvesting (S&H) information is crucial for climate-coupled crop models to accurately simulate dynamic crop growth. The timing of intra-annual crop growth not only reflects adaptation to climate change but also significantly influ
Externí odkaz:
https://doaj.org/article/7f1ede4073fd4f2fa33cf01345c28c3a
Publikováno v:
AIMS Agriculture and Food, Vol 9, Iss 1, Pp 84-107 (2024)
Given the critical role of precise meteorological parameter estimation in water resources management, particularly concerning the water footprint (WF) concept and considering the scarcity of data, this study utilized thirty years of data from four me
Externí odkaz:
https://doaj.org/article/2db41331610548249f25b9450c43d409
Publikováno v:
Agriculture, Vol 14, Iss 11, p 2058 (2024)
Accurately predicting the wheat potential yield (PY) is crucial for enhancing agricultural management and improving resilience to climate change. However, most existing crop models for wheat PY rely on type-specific parameters that describe wheat tra
Externí odkaz:
https://doaj.org/article/367f389b0be949068768bf661ae3b172
Publikováno v:
Earth's Future, Vol 12, Iss 5, Pp n/a-n/a (2024)
Abstract Uttar Pradesh, with a population of 237 million, is the largest agrarian state in India, located in the Indo‐Gangetic plains. Rice cultivation is widespread across all districts of Uttar Pradesh, which have varying climate regimes, irrigat
Externí odkaz:
https://doaj.org/article/72ad0ab6fbc04529b8e42c45dc31eba8
Autor:
Qingchen Xu, Hongbin Liang, Zhongwang Wei, Yonggen Zhang, Xingjie Lu, Fang Li, Nan Wei, Shupeng Zhang, Hua Yuan, Shaofeng Liu, Yongjiu Dai
Publikováno v:
Earth's Future, Vol 12, Iss 4, Pp n/a-n/a (2024)
Abstract Northeast China (NEC) is the most prominent grain‐producing region in China. However, it is currently facing significant impacts from climate change. Since the climate‐related impacts on crop yield in this region are a major concern for
Externí odkaz:
https://doaj.org/article/b631982b051b4655a8c46f83ab125178
Akademický článek
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Autor:
Mohamed Nejib El Melki, Imen Soussi, Jameel Mohammed Al-Khayri, Othman M. Al-Dossary, Bader Alsubaie, Slaheddine Khlifi
Publikováno v:
Agronomy, Vol 14, Iss 9, p 2022 (2024)
This study evaluates the projected impact of climate change on wheat production in Northwest Tunisia, specifically at Medjez El Beb (36.67 m, 9.74°) and Slougia (36.66 m, 9.6°), for the period 2041–2070. Using the CNRM-CM5.1 and GFDL-ESM2M climat
Externí odkaz:
https://doaj.org/article/cac02f22b08f4d3f9a10d319bc4f78f6
Publikováno v:
مجله آب و خاک, Vol 37, Iss 3, Pp 353-366 (2023)
IntroductionWheat (Triticum aestivum L.) has become very important as a valuable strategic product with high energy level. The importance of investigating environmental stresses and their role in predicting and evaluating the growth and crops yield i
Externí odkaz:
https://doaj.org/article/21dc3e3ae5044437855dbfa3d6a3c79f
Autor:
Konan Jean-Yves N’guessan, Botou Adahi, Arthur-Brice Konan-Waidhet, Satoh Masayoshi, Nogbou Emmanuel Assidjo
Publikováno v:
Rice Science, Vol 30, Iss 4, Pp 276-293 (2023)
Assessing the impact of climate change (CC) on agricultural production systems is mainly done using crop models associated with climate model outputs. This review is one of the few, with the main objective of providing a recent compendium of CC impac
Externí odkaz:
https://doaj.org/article/f4dd33e5068b44b2a3e2bd286b808bf0