Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Katy M. Rainey"'
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/80468646e4814a15af20027757898a42
Publikováno v:
Plant Methods, Vol 16, Iss 1, Pp 1-16 (2020)
Abstract Background Nowadays, automated phenotyping of plants is essential for precise and cost-effective improvement in the efficiency of crop genetics. In recent years, machine learning (ML) techniques have shown great success in the classification
Externí odkaz:
https://doaj.org/article/12f931d3787e4a04ab7558b216d012f9
Autor:
Alencar Xavier, Katy M. Rainey
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 2, Pp 665-675 (2020)
Soybean is a crop of major economic importance with low rates of genetic gains for grain yield compared to other field crops. A deeper understanding of the genetic architecture of yield components may enable better ways to tackle the breeding challen
Externí odkaz:
https://doaj.org/article/bcffbb09bfe74f3ba2d822e9c64b65cf
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
The rapid development of remote sensing in agronomic research allows the dynamic nature of longitudinal traits to be adequately described, which may enhance the genetic improvement of crop efficiency. For traits such as light interception, biomass ac
Externí odkaz:
https://doaj.org/article/55fe0656db7e4ef3af7727c6fcdb7a96
Canopy Roughness: A New Phenotypic Trait to Estimate Aboveground Biomass from Unmanned Aerial System
Publikováno v:
Plant Phenomics, Vol 2020 (2020)
Cost-effective phenotyping methods are urgently needed to advance crop genetics in order to meet the food, fuel, and fiber demands of the coming decades. Concretely, characterizing plot level traits in fields is of particular interest. Recent develop
Externí odkaz:
https://doaj.org/article/4205d543e6284e288d0dea127aa9b9f9
Autor:
Alencar Xavier, Diego Jarquin, Reka Howard, Vishnu Ramasubramanian, James E. Specht, George L. Graef, William D. Beavis, Brian W. Diers, Qijian Song, Perry B. Cregan, Randall Nelson, Rouf Mian, J. Grover Shannon, Leah McHale, Dechun Wang, William Schapaugh, Aaron J. Lorenz, Shizhong Xu, William M. Muir, Katy M. Rainey
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 8, Iss 2, Pp 519-529 (2018)
Genetic improvement toward optimized and stable agronomic performance of soybean genotypes is desirable for food security. Understanding how genotypes perform in different environmental conditions helps breeders develop sustainable cultivars adapted
Externí odkaz:
https://doaj.org/article/2811f8e8f9dd456a9c9f708d5fe8de64
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2911 (2021)
Low-gradient agricultural areas prone to in-field flooding impact crop development and yield potential, resulting in financial losses. Early identification of the potential reduction in yield from excess water stress at the plot scale provides stakeh
Externí odkaz:
https://doaj.org/article/ebbbecba242e4df6a64e869f576fd769
Publikováno v:
Crop Science. 61:866-877
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7503edea906d1f6bd0dbd952dfe34b95
https://doi.org/10.1002/csc2.20132
https://doi.org/10.1002/csc2.20132
Autor:
Patrick Obia Ongom, Tri D. Vuong, Mohammad Wali Salari, Katy M. Rainey, Henry T. Nguyen, Rima Thapa
Publikováno v:
Plant Breeding. 140:110-122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54a7fbc81274aa9c56ef054d11b94574
https://doi.org/10.1111/pbr.12883
https://doi.org/10.1111/pbr.12883
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 417-421 (2020)
Subsurface agriculture tile lines can greatly impact plant phenotypic characteristics through spatial variation of soil moisture, plant nutrient, and plant rooting depth. Therefore, location of subsurface tile lines plays a critical role in supportin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b071229054f002a5af3ff04140fbbcfb
https://doi.org/10.5194/isprs-archives-xliii-b3-2020-417-2020
https://doi.org/10.5194/isprs-archives-xliii-b3-2020-417-2020