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Special issue in honour of Prof. Reto J. Strasser - Phenotyping with fast fluorescence sensors approximates yield component measurements in pepper (Capsicum annuum L.)

Autor: J. J. Magan, Attila Barócsi, F.A. van Eeuwijk, Ep Heuvelink, Sándor Lenk, Alain Palloix, Véronique Lefebvre, J.A. Dieleman

Publikováno v: Photosynthetica, Vol 58, Iss 2, Pp 622-637 (2020)
Photosynthetica
Photosynthetica, Springer Verlag, 2020, 58 (SPECIAL ISSUE), pp.622-637. ⟨10.32615/ps.2020.016⟩

International audience; Molecular breeding, a powerful technique to increase crop yield, tries to predict yield by crop growth models with genotype specific, environment-independent yield components and environmental indices as inputs. A fluorescence

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63e85f975fccb7e3212d2fe45406a0cc
https://ps.ueb.cas.cz/artkey/phs-202002-0043_special-issue-in-honour-of-prof-reto-j-strasser-8211-phenotyping-with-fast-fluorescence-sensors-approximat.php

A two-stage approach for the spatio-temporal analysis of high-throughput phenotyping data

Autor: Emilie J. Millet, M. X. Rodr iacuteguez- Aacutelvarez, Andreas Hund, Lukas Kronenberg, F.A. van Eeuwijk, Llorenç Cabrera-Bosquet, Martin P. Boer, D. M. P eacuterez-Valencia

High throughput phenotyping (HTP) platforms and devices are increasingly used for the characterization of growth and developmental processes for large sets of plant genotypes. Such HTP data require challenging statistical analyses in which longitudin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::147f5593a899c1e426b25a9fbd184b91
https://doi.org/10.1101/2021.08.10.455613

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Using crop growth model stress covariates and AMMI decomposition to better predict genotype-by-environment interactions

Autor: Pierre Martre, F.A. van Eeuwijk, Gaëtan Touzy, Agathe Mini, Renaud Rincent, J. Le Gouis, Matthieu Bogard, Behnam Ababaei, Marcos Malosetti

Publikováno v: Springer Nature
TAG Theoretical and Applied Genetics
TAG Theoretical and Applied Genetics, Springer Verlag, 2019, 132 (12), pp.3399-3411. ⟨10.1007/s00122-019-03432-y⟩
Theoretical and Applied Genetics, 132(12), 3399-3411
Theoretical and Applied Genetics 132 (2019) 12

Key message: We propose new methods to predict genotype × environment interaction by selecting relevant environmental covariates and using an AMMI decomposition of the interaction. Abstract: Farmers are asked to produce more efficiently and to reduc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37f8036df72a188934f0b0af7ba4e154