Results 51 to 60 of about 3,731 (172)
Using Local Expert Knowledge to Measure Prices: Evidence From a Survey Experiment in Vietnam
ABSTRACT Many countries lack spatially disaggregated consumer price data needed to estimate real inequality and spatial patterns of poverty. Such data are especially absent in poor countries where weak infrastructure and high transport costs create large price variation over space.
John Gibson, Trinh Le
wiley +1 more source
The content of free proline in winter wheat during autumn-winter-spring periods
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
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
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 +16 more
wiley +1 more source
Characteristics of brown leaf rust virulence on winter durum wheat varieties in the Rostov region
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 +5 more
doaj +1 more source
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 +2 more
wiley +1 more source
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 +2 more
doaj +1 more source
GRAIN QUALITY AND DROUGHT TOLERANCE OF THE WINTER SOFT WHEAT VARIETIES
Grain quality and drought tolerance of the winter soft wheat varieties The article considers the study of the traits of winter soft wheat (mass share of protein and gluten) and the level of drought tolerance of these samples under natural conditions.
N.S. Kravchenko +2 more
openaire +2 more sources
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 +4 more
wiley +1 more source
Influence of microelements-synergists on the yield and quality of winter wheat grain
The article contains the results of winter wheat cultivation in the forest steppe of the Middle Volga region, as a result of the use of microelements. The object of research is winter soft wheat of the variety Saratovskaya 17.
Kostin V.I. +4 more
doaj +1 more source

