Results 211 to 220 of about 984,585 (352)

The sugar beet and beet sugar

, 1911
openaire   +2 more sources

Carbohydrate intake of 10 g/kg body mass rapidly replenishes liver, but not muscle glycogen contents, during 12 h of post‐exercise recovery in well‐trained cyclists

The Journal of Physiology, EarlyView.
Abstract figure legend Exhaustive cycling exercise substantially reduces liver and muscle glycogen stores. During 12 h of post‐exercise recovery without carbohydrate intake, glycogen stores remain depleted. In contrast, when carbohydrate is consumed at 10 g/kg body mass (BM), provided during the first 6 h as sucrose beverages (1.2 g/kg BM/h), liver ...
Cas J. Fuchs, Pandichelvam Veeraiah, Wesley J.H. Hermans, Bente Brauwers, Rick Voncken, Kim Brouwers, Heather L. Petrick, Floris K. Hendriks, Julia L.M. Bels, Job van den Hurk, Jil Weber, Joan M. Senden, Fiona E. Smith, Peter E. Thelwall, Jeanine J. Prompers, Luc J.C. van Loon   +15 more
wiley   +1 more source

Draft genome sequences of six bacterial isolates from aphid-infested sugar beet and witloof chicory. [PDF]

Microbiol Resour Announc
Rojas-Preciado N, Poppelsdorf W, Berings L, Van Hee S, Jacquemyn H, Lievens B.   +5 more
europepmc   +1 more source

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Identification of the nsLTP gene family from sugar beet and functional analysis of BvnsLTP10 in drought tolerance. [PDF]

BMC Plant Biol
Xu Y, Shi R, Fan Z, Mu Y, Sun Y, Li N, Zhang S, Li G.   +7 more
europepmc   +1 more source

Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Ascochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high‐throughput evaluation of plant–pathogen interactions in genotypes which can serve as sources of resistance.
Florian Tanner, Judith Atieno, Sara Blake, Marzena Krysinska‐Kaczmarek, Chris Brien, Mohsen Khani, Kenneth Clarke, Darren Plett, Jennifer Davidson, Bettina Berger   +9 more
wiley   +1 more source

Polyphenols in Sugar Beet Leaves: Composition, Variability, and Valorization Opportunities. [PDF]

Molecules
Antczak-Chrobot A, Macierzyński J, Wojtczak M.   +2 more
europepmc   +1 more source

A factorial multi‐layer analysis reveals non‐additive sulfur–iron interactions shaping metabolic and transcriptional responses in durum wheat

New Phytologist, Volume 252, Issue 1, Page 192-208, October 2026.
Working model of S‐dependent Fe stress integration in durum wheat. S availability acts as the main factor defining the metabolic and transcriptional state of the plant, whereas Fe mainly affects the intensity of these responses. This is particularly evident for OAS, methionine, citrate and asparagine, which accumulated most strongly under combined S ...
Eleonora Coppa, Mutsumi Watanabe, Moez Maghrebi, Giulia Quagliata, Alessandro Bruschini, Rainer Hoefgen, Youry Pii, Stefano Cesco, Gianpiero Vigani, Stefania Astolfi   +9 more
wiley   +1 more source

Evaluation of Genetic Diversity in Sugar Beet Using SCoT and ISSR Markers. [PDF]

Plants (Basel)
Yücel B, Çilesiz Y, Karaköy T.
europepmc   +1 more source

Unveiling Potato Cultivars With Microbiome Interactive Traits for Sustainable Agricultural Production

Plant, Cell &Environment, Volume 49, Issue 10, Page 7511-7525, October 2026.
ABSTRACT Root traits significantly shape rhizosphere microbiomes, yet their interaction with microbes is often overlooked in plant breeding programs. Here, we propose that selecting modern cultivars based on microbiome interactive trait (MIT), such as root biomass, exudate patterns and the rhizosphere microbiome, can enhance agricultural sustainability
Tianci Zhao, Stefanie N. Vink, Xiu Jia, Alexander Erban, Stephanie Schaarschmidt, Joachim Kopka, Ellen Zuther, Krzysztof Treder, Dorota Michałowska, Rémy Guyoneaud, J. Theo M. Elzenga, Eléonore Attard, Joana Falcão Salles   +12 more
wiley   +1 more source