Zobrazeno 1 - 10
of 619
pro vyhledávání: '"crop growth model"'
Autor:
Florian Larue, Lauriane Rouan, David Pot, Jean-François Rami, Delphine Luquet, Grégory Beurier
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionPredicting the performance (yield or other integrative traits) of cultivated plants is complex because it involves not only estimating the genetic value of the candidates to selection, the interactions between the genotype and the environ
Externí odkaz:
https://doaj.org/article/25bb408665ee4e999a6af87e5c8d2aeb
Autor:
Sabina Thaler, Karl Berger, Josef Eitzinger, Abdollahi Mahnaz, Vitore Shala-Mayrhofer, Shokufeh Zamini, Philipp Weihs
Publikováno v:
Agronomy, Vol 14, Iss 11, p 2511 (2024)
Agrivoltaics (APVs) represent a growing technology in Europe that enables the co-location of energy and food production in the same field. Photosynthesis requires photosynthetic active radiation, which is reduced by the shadows cast on crops by APV p
Externí odkaz:
https://doaj.org/article/7d4a8e791c134177996eeccb962740b0
Publikováno v:
Agronomy, Vol 14, Iss 10, p 2402 (2024)
The prediction of crop growth and nitrogen status is essential for agricultural development and food security under climate change scenarios. Crop models are powerful tools for simulating crop growth and their responses to environmental variables, bu
Externí odkaz:
https://doaj.org/article/f2d9cab67e07423b92295b98bbb7a4a0
Publikováno v:
Agronomy, Vol 14, Iss 9, p 1920 (2024)
The frequent occurrence of global climate change and natural disasters highlights the importance of precision agricultural monitoring, yield forecasting, and early warning systems. The data assimilation method provides a new possibility to solve the
Externí odkaz:
https://doaj.org/article/f72faa1cbcce455fa45eb19837c6035d
Publikováno v:
Food and Energy Security, Vol 13, Iss 2, Pp n/a-n/a (2024)
Abstract Crop growth models, such as the WOrld FOod STudies (WOFOST) model, mimic the mechanistic processes involved in crop development, growth, and yield production. The accuracy of simulation is decreased in unfavorable low‐temperature settings
Externí odkaz:
https://doaj.org/article/87abf01f89a749059a2877da48d9958d
Publikováno v:
Frontiers in Plant Science, Vol 14 (2024)
Breeding sorghum to withstand droughts is pivotal to secure crop production in regions vulnerable to water scarcity. Limited transpiration (LT) restricts water demand at high vapor pressure deficit, saving water for use in critical periods later in t
Externí odkaz:
https://doaj.org/article/4eacad714c8b48b09d1bcd9c069f87bc
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1397 (2024)
To better promote the research and development of regional crop yield simulations, we review related research on regional crop yield simulations over the past ten years, summarize the research progress on regional crop yield simulations at home and a
Externí odkaz:
https://doaj.org/article/11939fa84cf9458c92e8d41977eaa083
Publikováno v:
Guan'gai paishui xuebao, Vol 41, Iss 10, Pp 51-57 (2022)
【Objective】 To reverse the continued decline of dwindling water resources in northern China, most regions have proposed to restrict groundwater extraction for irrigation. Optimizing irrigation timing and making most of natural precipitation and i
Externí odkaz:
https://doaj.org/article/3659c03a603d47948eeaa297bd009ef1
Autor:
Yongxin Lin, Shuang Li, Shaoguang Duan, Yanran Ye, Bo Li, Guangcun Li, Dianqiu Lyv, Liping Jin, Chunsong Bian, Jiangang Liu
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Timely and accurate prediction of crop yield is essential for increasing crop production, estimating planting insurance, and improving trade benefits. Potato (Solanum tuberosum L.) is a staple food in many parts of the world and improving its yield i
Externí odkaz:
https://doaj.org/article/c9a6b31580a64f1397e6d895bb58e01b
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