Results 81 to 90 of about 3,913 (196)

Middle-early soft spring wheat variety Speaker

Siberian Herald of Agricultural Science
The results of research on the development of a middle-early variety of soft spring wheat with improved yield parameters, tolerance to early summer drought, low susceptibility to diseases and pests, intended for cultivation in the Altai Territory and adjacent regions of Siberia are presented. The variety Speaker was created as a result of intervarietal
N. I. Korobeinikov, V. S. Valekzhanin
openaire   +1 more source

Insights into biomass accumulation and challenges in grain yield prediction of elite breeding materials using UAV‐based vegetation indices in soft red winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract High‐throughput phenotyping (HTP) techniques have brought new opportunities to understand and evaluate key traits in plant breeding programs. Combining multiple measures through time and random regression models permits a more comprehensive understanding of the genetic and environmental effects on trait expression over time. This study aims to
Felipe Sabadin, Amelia Loeb, Francis Reith, Alexis Perry, Sunilda Frias, Demetrius Ragland, Limei Liu, Wynse Brooks, Ranjita Thapa, Julie Hansen, Christopher Pierce, Virginia M. Moore, Gina Brown‐Guedira, Ian Ray, Michael A. Gore, Kelly Robbins, Nicholas Santantonio   +16 more
wiley   +1 more source

The variety of spring soft wheat ‘Tulaykovskaya 108’

Зерновое хозяйство России, 2018
The article presents the technology of development of the variety of spring soft wheat ‘Tulaykovskaya 108’. In the selection process we have managed realizing the tasks appeared in the selection of parental forms.
V. V. Syukov, A. A. Viyushkov, S. E. Porotkin   +2 more
doaj   +2 more sources

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source

Assessing robustness and transferability of image‐based semantic segmentation models for major field crops

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeding is essential for crop improvement, yet progress is often hindered by slow, laborious, and subjective field phenotyping methods. High‐throughput phenotyping (HTP), particularly image‐based methodologies powered by machine learning, offers a pathway to overcome these limitations.
Gustavo N. Santiago, Pedro Cisdeli, German Mandrini, Mitchell Tuinstra, Ignacio A. Ciampitti   +4 more
wiley   +1 more source

The susceptibility of spring soft wheat to smut of Tatarstan origin

Зерновое хозяйство России, 2018
The assessment of spring soft wheat varieties artificially infected with smut pathogen showed that more than a half of cultivars recommended to cultivation in the Republic of Tatarstan are extremely susceptible to the disease. The varieties ‘Simbirtsit’, ‘Ester’, ‘Eskada 70’, ‘Eskada 66’, ‘Eskada 109’, ‘Zlata’ and ‘Arkhat’ turned to be less susceptible
N. Z. Vasilova, D. F. Askhadullin, T. V. Zaytseva, E. Z. Bagavieva, M. R. Tazutdinova, I. I. Khusainova, G. R. Nasikhova   +6 more
openaire   +2 more sources

Structure Formation in Dairy Cheese and Plant‐Based Cheese Analogues: A Review

Sustainable Food Proteins, Volume 4, Issue 3, September 2026.
In this review, structure formation in dairy cheese and plant‐based cheese analogues is analyzed following a multi‐length scale perspective. Particular emphasis is placed on the distinction between bottom‐up assembly, characteristic of natural dairy cheese, and top‐down structuring, typical of processed cheese and cheese analogues.
Laurens J. Antuma, Remco Kornet, Skelte G. Anema, Siqi Li   +3 more
wiley   +1 more source

Ulva lactuca Extract in Confectionery Systems: A Sustainable Approach to Natural Pigmentation, Antioxidant Enrichment, and Sensory Optimization in Fondant and Meringue Matrices

Food Science &Nutrition, Volume 14, Issue 7, July 2026.
This study evaluated the functional potential of Ulva lactuca extract as a natural colorant and antioxidant incorporated into sugar‐based (fondant) and aerated (meringue) confectionery matrices. Extract incorporation significantly enriched total phenolic content—achieving up to 150.95 mg GAE/100 g dry matter in meringues—and surged antioxidant ...
Elvan Gizem Gursoy, Buse Ozdere Yilmaz, Aysegul Erdogan, Meltem Conk Dalay, Sebnem Tavman   +4 more
wiley   +1 more source

THE ROLE OF THE VARIETAL RESOURCES OF SOFT SPRING WHEAT OF THE WESTERN SIBERIA IN THE SOLUTION OF FOOD SECURITY OF THE REGION

Зерновое хозяйство России, 2018
The Western Siberia is one of the largest regions of the country in the production of soft spring wheat. The weather-climatic conditions of the place allow yielding grain with high content of gluten and protein, suitable to the food use.
A. A. Kazak, Yu. P. Loginov
doaj   +2 more sources

Advancements in Mass Spectrometry‐Based Glycomics in Food and Nutritional Science

Mass Spectrometry Reviews, Volume 45, Issue 4, Page 829-850, July/August 2026.
ABSTRACT This review highlights advancements in mass spectrometry (MS)‐based glycomics in food and nutritional science. Carbohydrates, which are vital for human health, exhibit complex structures, making their analysis challenging. MS has become an indispensable tool for elucidating the structures of carbohydrates, including glycans, through soft ...
JaeHui Song, HyunJi Lee, Youngshik Choe, Hyeyoung Lee   +3 more
wiley   +1 more source