Results 71 to 80 of about 1,933,938 (161)

IDENTIICATION OF THE Lr34 GENE FOR RESISTANCE TO LEAF RUST IN VARIETIES AND COLLECTION SAMPLES OF WINTER SOFT WHEAT FROM THE AGRICULTURAL RESEARCH CENTER “DONSKOY”

Вавиловский журнал генетики и селекции, 2018
Nowadays one of the priorities in winter soft wheat breeding is to provide resistance to leaf diseases, and, in particular, to leaf rust as the most harmful of them.
N. N. Vozhzhova
doaj   +1 more source

Trends in change of times of sowing of soft winter wheat (Triticum aestivum L.) in South part of Right-bank Forest-steppe of Ukraine at climate change

Visnyk agrarnoi nauky, 2018
Ulich O. Blagoveshchensk Branch of SE «Center for certification and expertise of seeds and planting material», Novoselytsia, Blagoveshchensk region, Kirovograd oblast, 26423, Ukraine; е-mail: ulich23@ukr.net The purpose. To study trends in change of time
O. Ulich
semanticscholar   +1 more source

Implementation of precision planting in winter wheat improves seeding uniformity, yield, and grain quality

Crop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.
Abstract Proper placement of seed in a seedbed is crucial for maximizing crop yield potential. However, winter wheat (Triticum aestivum L.) is typically planted using a low‐precision, conventional spill‐type seed drill. This can result in nonuniform seeding depth and within‐row spacing, leading to poor emergence, root growth, and tillering and ...
Maninder P. Singh, Kalvin Canfield, Dennis Pennington, J. Patrick Copeland   +3 more
wiley   +1 more source

The content of free proline in winter wheat during autumn-winter-spring periods

Зерновое хозяйство России, 2018
The content of free proline in winter wheat during autumn-winter-spring periods The article considers the results of determination of the content of free proline in the leaves of winter soft wheat during autumn-winter-spring periods.
E. V. Ionova, M. M. Ivanisov
doaj   +2 more sources

THE STUDY RESULTS OF 1000-KERNEL WEIGHT OF WINTER SOFT WHEAT VARIETIES UNDER PROVOKING CONDITIONS “ZASUSHNIK”

Зерновое хозяйство России, 2018
In the southern part of theRostovregion high temperature and insufficient humidity in soil are the main unfavorable factors that destroy the conventional physiological and biological processes of winter wheat plants and it results in their productivity ...
E. I. Nekrasov, E. V. Ionova
doaj   +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

Characteristics of brown leaf rust virulence on winter durum wheat varieties in the Rostov region

Зерновое хозяйство России, 2019
The purpose of this work was to characterize the virulence of the P. triticina population on durum wheat in the Rostov region and to assess the leaf rust resistance in the promising winter durum wheat varieties selected by the “ARC “Donskoy”.
E. L. Shaydayuk, E. I. Gultyaeva, N. V. Shishkin, T. G. Derova, D. R. Yakovleva, N. P. Ilichkina   +5 more
doaj   +1 more source

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

Characteristics of productivity of soft winter wheat samples from Common Bunt-Resistant Nursery (CBUNT-RES) in the southern Forest-Steppe zone of Ukraine

Plant Varieties Studying and Protection, 2020
Purpose. Evaluate the introduced samples of soft winter wheat from the international nursery Common Bunt-Resistant Nursery (CBUNT-RES) of different ecological and geographical origin in the southern part of the Forest-Steppe zone of Ukraine according to ...
С. М. Холод, В. М. Кір’ян, Р. С. Вискуб   +2 more
doaj   +1 more source