Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Abbas Atefi"'
Publikováno v:
International Journal of Fruit Science, Vol 24, Iss 1, Pp 293-300 (2024)
Strawberry production in California, the leading producer in the United States, relies on effective field treatments such as cutting runners (stolon) to enhance crop productivity. Manual runner cutting is laborious and costly, motivating the explorat
Externí odkaz:
https://doaj.org/article/1bcd01f99d62464d9a875688e87629f3
Autor:
Marcin W. Grzybowski, Mackenzie Zwiener, Hongyu Jin, Nuwan K. Wijewardane, Abbas Atefi, Michael J. Naldrett, Sophie Alvarez, Yufeng Ge, James C. Schnable
Publikováno v:
BMC Plant Biology, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Background Access to biologically available nitrogen is a key constraint on plant growth in both natural and agricultural settings. Variation in tolerance to nitrogen deficit stress and productivity in nitrogen limited conditions exists both
Externí odkaz:
https://doaj.org/article/b17c7cc47ffd4e09a8bb3900df354e84
Publikováno v:
Plant Methods, Vol 18, Iss 1, Pp 1-17 (2022)
Abstract Background Leaf chlorophyll content plays an important role in indicating plant stresses and nutrient status. Traditional approaches for the quantification of chlorophyll content mainly include acetone ethanol extraction, spectrophotometry a
Externí odkaz:
https://doaj.org/article/f2cc772c85a24e109cfb9f9ffb5a73d6
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Phenotyping plants is an essential component of any effort to develop new crop varieties. As plant breeders seek to increase crop productivity and produce more food for the future, the amount of phenotype information they require will also increase.
Externí odkaz:
https://doaj.org/article/d300f4847a1f45f7aea6157fb535b222
Autor:
Yufeng Ge, Abbas Atefi, Huichun Zhang, Chenyong Miao, Raghuprakash Kastoori Ramamurthy, Brandi Sigmon, Jinliang Yang, James C. Schnable
Publikováno v:
Plant Methods, Vol 15, Iss 1, Pp 1-12 (2019)
Abstract Background Hyperspectral reflectance data in the visible, near infrared and shortwave infrared range (VIS–NIR–SWIR, 400–2500 nm) are commonly used to nondestructively measure plant leaf properties. We investigated the usefulness of VIS
Externí odkaz:
https://doaj.org/article/4267ba14f8ae4c0192f84cf102f60b80
Publikováno v:
Robotics, Vol 9, Iss 3, p 58 (2020)
Frequent measurements of the plant phenotypes make it possible to monitor plant status during the growing season. Stem diameter is an important proxy for overall plant biomass and health. However, the manual measurement of stem diameter in plants is
Externí odkaz:
https://doaj.org/article/37ca2cccd459473d87be07b9207b8d8a
Publikováno v:
Acta Scientiarum: Animal Sciences, Vol 38, Iss 4 (2016)
Accuracy of genomic prediction was compared using three parametric and semi parametric methods, including BayesA, Bayesian LASSO and Reproducing kernel Hilbert spaces regression under various levels of heritability (0.15, 0.3 and 0.45), different num
Externí odkaz:
https://doaj.org/article/75466b7ad59142e7a283dedcfe88c64f
BackgroundLeaf chlorophyll content plays an important role in indicating plant stresses and nutrient status. Traditional approaches for the quantification of chlorophyll content mainly include acetone ethanol extraction, spectrophotometry and high-pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0af6dd33a3b43195bce5ee00bfac34b2
https://doi.org/10.21203/rs.3.rs-407791/v1
https://doi.org/10.21203/rs.3.rs-407791/v1
Publikováno v:
Robotics
Volume 9
Issue 3
Robotics, Vol 9, Iss 58, p 58 (2020)
Volume 9
Issue 3
Robotics, Vol 9, Iss 58, p 58 (2020)
Frequent measurements of the plant phenotypes make it possible to monitor plant status during the growing season. Stem diameter is an important proxy for overall plant biomass and health. However, the manual measurement of stem diameter in plants is
Publikováno v:
Plant Communications
Many biochemical and physiological properties of plants that are of interest to breeders and geneticists have extremely low throughput and/or can only be measured destructively. This has limited the use of information on natural variation in nutrient