Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Daniela Bustos"'
Autor:
George A. K. van Voorn, Martin P. Boer, Sandra Huynh Truong, Nicholas A. Friedenberg, Shota Gugushvili, Ryan McCormick, Daniela Bustos Korts, Carlos D. Messina, Fred A. van Eeuwijk
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionDynamic crop growth models are an important tool to predict complex traits, like crop yield, for modern and future genotypes in their current and evolving environments, as those occurring under climate change. Phenotypic traits are the re
Externí odkaz:
https://doaj.org/article/a8632fb82c314fc79295ecdde7d60210
From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize G×E Over Time
Autor:
Daniela Bustos-Korts, Marcos Malosetti, Karine Chenu, Scott Chapman, Martin P. Boer, Bangyou Zheng, Fred A. van Eeuwijk
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
Genotype by environment interaction (G×E) for the target trait, e.g. yield, is an emerging property of agricultural systems and results from the interplay between a hierarchy of secondary traits involving the capture and allocation of environmental
Externí odkaz:
https://doaj.org/article/4286ca24e1924360a19f0952433aedcb
Autor:
Ana Muñoz, Angie Barbosa, Daniela Bustos, Yenifer Ramírez, Yesenia Vásquez, Jaqueline García, Marcelo Guancha
Publikováno v:
Informador Técnico, Vol 81, Iss 1, Pp 86-94 (2017)
El objetivo de esta investigación fue estimar la vida útil de la uchuva por efecto de la aplicación de un recubrimiento a base de quitosano y áloe vera utilizando el método de aspersión. La Norma Técnica Colombiana (NTC 4580) se empleó para c
Externí odkaz:
https://doaj.org/article/0919ea71964b49958ddbed52f7a0e696
Autor:
Daniela Bustos-Korts, Martin P. Boer, Marcos Malosetti, Scott Chapman, Karine Chenu, Bangyou Zheng, Fred A. van Eeuwijk
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
Genomic prediction of complex traits, say yield, benefits from including information on correlated component traits. Statistical criteria to decide which yield components to consider in the prediction model include the heritability of the component t
Externí odkaz:
https://doaj.org/article/03a080b980df45a58babab5a521149ef
Publikováno v:
Molecules, Vol 26, Iss 4, p 984 (2021)
Extracts rich in bioactive compounds added to edible films have allowed the development of active packaging that increases the shelf life of food. However, it is necessary to search for solvents that are nontoxic and not harmful to the environment, w
Externí odkaz:
https://doaj.org/article/322fa6e0dd3947f88c6a158c21bc6b4a
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 6, Iss 11, Pp 3733-3747 (2016)
Genome-enabled prediction provides breeders with the means to increase the number of genotypes that can be evaluated for selection. One of the major challenges in genome-enabled prediction is how to construct a training set of genotypes from a calibr
Externí odkaz:
https://doaj.org/article/8aaaffed2aef48efbf6c4aa546ef1e3a
Publikováno v:
Journal of Dairy, Veterinary & Animal Research. 12:24-27
The objective of this study was to evaluate the effect of ciprofibrate on serum triglyceride concentrations in canine patients. A sample size of 21 canines was study, that had a diagnosis of familial dyslipidemia, and was established with triglycerid
Autor:
Patricia Velásquez, Eduardo Muñoz‐Carvajal, Lissette Grimau, Daniela Bustos, Gloria Montenegro, Ady Giordano
Publikováno v:
Chemistry & Biodiversity. 20
Autor:
van Voorn, George A. K., Boer, Martin P., Truong, Sandra Huynh, Friedenberg, Nicholas A., Gugushvili, Shota, McCormick, Ryan, Korts, Daniela Bustos, Messina, Carlos D., van Eeuwijk, Fred A.
Publikováno v:
Frontiers in Plant Science; 2023, p1-14, 14p
Publikováno v:
7th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture AGRICONTROL 2022. Elsevier
7th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture AGRICONTROL 2022
7th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture AGRICONTROL 2022
Estimating crop states accurately and reliably through climate sensing is a promising alternative for high tech crop sensing investments. This paper explores and demonstrates the applicability of joint crop parameter and crop state estimation through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f44f3ba398a8e7be0b4b64c3a75d6cd
https://research.wur.nl/en/publications/nonlinear-observability-analysis-and-joint-state-and-parameter-es
https://research.wur.nl/en/publications/nonlinear-observability-analysis-and-joint-state-and-parameter-es