scholarly journals Sensitivity to herbicides of two spring forage pea cultivars

2019 ◽  
Vol 11 (3) ◽  
pp. 232-235
Author(s):  
S. Ivanov ◽  
M. Dimitrova
Keyword(s):  
Seed Mass ◽  
Double Dose ◽  
Average Value ◽  
Highly Sensitive ◽  
New Varieties ◽  
Average Plant ◽  
Factor C ◽  
The Village ◽  
Parcel Method ◽  
Selection Of

Abstract. An important element of spring pea growing technology is weed control as the crop is highly sensitive to them, especially in the early stages of its development. The use of various herbicide preparations with a diverse mechanism and spectrum of action, changes in weed associations under the influence of various factors, as well as the selection of new varieties necessitates a constant study of the problem of the efficacy of herbicide preparations and the sensitivity of varieties to them. The aim of the present study was to investigate the sensitivity of two cultivars of spring forage pea to different herbicide preparations. During the period 2006-2008 in the village of Lyubenova mahala, Stara Zagora region, a three-factor field experiment was conducted by the fractional parcel method in four replications and size of the harvest plot 10m2. Factor A includes cultivars of spring peas, factor B – herbicide variants, factor C – doses of herbicides. It has been proven that the plants of both varieties, Pickardi and Amitie, are killed by 2.4 D, both in single and double dose. The highest average plant height was recorded in the Amitie cultivar treated with Basagran 600 SL herbicide at the double dose (3.0 L/ha). The highest were the values of the parameter number of beans per plant obtained in the Amitie cultivar treated with Basagran 600 SL and Pivot 100 SL – 0.8 L/ha, in the soil. A statistically proven highest average value of the parameter seed mass per plant was obtained in the Amitie variety treated with the Basagran 600 SL herbicide (12.667g) and the lowest – in Pickardi with the herbicide Pivot (10.330g).

Селекция и семеноводство картофеля в Камчатском крае

2018 ◽  
Author(s):  
N.I. Ryakhovskaya ◽  
T.P. Sherstyukova ◽  
M.L. Gamolina
Keyword(s):  
Russian Federation ◽  
Potato Yield ◽  
The State ◽  
Limiting Factors ◽  
State Register ◽  
Region Selection ◽  
New Varieties ◽  
The Russian Federation ◽  
Selection Of

Рассмотрены агроклиматические условия Камчатского края и лимитирующие факторы, сдерживающие рост урожайности картофеля. Приведены характеристики новых сортов картофеля селекции Камчатского НИИСХ созданных в соответствии с приоритетными для региона направлениями селекции, включенных в Государственный реестр селекционных достижений РФ и охраняемых патентами.Agroclimatic conditions of the Kamchatka Krai and limiting factors that restrain the growth of potato yield are considered. The characteristics of new varieties of potatoes of the selection of the Kamchatsky RIA are created in accordance with the priority for the region selection areas included in the State Register of Selection Achievements of the Russian Federation and protected by patents.

Phytocenotic selection of perennial grasses as a factor of increasing the productivity of mixed agrophytocenoses

2020 ◽  
Author(s):  
V.N. Zolotarev ◽  
◽  
I.S. Ivanov ◽  
O.N. Lyubtseva
Keyword(s):  
Perennial Grasses ◽  
New Varieties ◽  
The Creation ◽  
High Yields ◽  
Selection Of

Based on the analysis of data available in the literature and our own experimental material on phytocenotic selection of the stony stalk (Bromopsis inermis Holub.) the important role of competition between plants in the field for the creation of new varieties of perennial grasses that provide high yields of feed polyvid agrophytocenoses is shown.

PEMILIHAN KEPLING TELADAN MENERAPKAN METODE RANK ORDER CENTROID (ROC) DAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) DI KECAMATAN MEDAN AREA

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Liza Handayani ◽  
Muhammad Syahrizal ◽  
Kennedi Tampubolon
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rank Order ◽  
Priority Level ◽  
The Village ◽  
Field Area ◽  
Selection Of

The head of the environment is an extension of the head of the village head in assisting or providing services to the community both in the administration of administration in the village and to other problems. It is natural for a kepling to be appreciated for their performance during their special tenure in the kecamatan field area. Previously, the selection of a dipling in a sub-district was very inefficient and seemed unfair for this exemplary selection to use a system to produce an accurate value, and no intentional element. To overcome the process of selecting an exemplary kepling that experiences these obstacles by using an application called a Decision Support System. Decision Support System (SPK) is a system that can solve a problem, and this system is also assisted with several methods, namely the Rank Order Centroid (ROC) method that can assign weight values to each of the criteria based on their priority level. And to do the ranking or determine an exemplary set using the Additive Ratio Assessment (ARAS) method, this method provides decision making that takes decisions based on ranking or the highest value.Keywords: Head of Medan Area Subdistrict, SPK, Centroid Rank Order, Additive Ratio Assessment (ARAS).

MODERN CONDITION AND PROSPECTS OF DEVELOPMENT OF THE UKRAINIAN WHITEHEAD BREED

2016 ◽  
Vol 52 ◽  
pp. 194-202
Author(s):  
S. L. Voitenko ◽  
L. V. Vishnevsky
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Objective Assessment ◽  
Live Weight ◽  
Fat Content ◽  
Early Age ◽  
Average Value ◽  
The Future ◽  
Efficiency Of Selection ◽  
Selection Of

The article shows the state of Ukrainian Whiteheaded cattle, which includes distribution of cattle, the number of animals belonging to respective bloodlines, evaluation of young animals with live weight in the process of growing and milk production of cows during the first lactation. It reflects the historic development of the breed when it was colonism whiteheaded cattle, which turned into the original breed, undergone a significant expansion in livestock and increase of productivity, decreased in the number, was as basis for creation of Ukrainian Black-and-White dairy breed and now bred only in one breeding farm. Visual estimation of animal exterior showed good development of cows and calves and their belonging to the dairy type. In the vast majority the cows of the herd have a black suit, a white head with " glasses" around the eyes, white belly, udder, lower legs and brush of the tail. The youngsters aren’t consolidated by the exterior, and among them there are animals which are not typical for Ukrainian Whiteheaded breed. The young animals have some lag in live weight behind the breed standard [12] to 7 months’ age with exceeding of this trait in certain periods quite significantly in the future. It was established that selection of heifers on live weight will be effective at the early age (1-5 months), given the coefficient of variation of live weight – 22,63-30,21% and will not have a significant influence in the future. Milk yields of first-calf heifers vary considerably depending on the origin. The milk yield of first-calf heifers in the herd was 4238,5 kg on average, the heifers belonging to Mart 171 and Ozon 417 bloodlines had the best milk performance – 4483,1 and 4254,9 kg accordingly. The most aligned milk yield during the first lactation was in the cows belonging to Ozon 417 bloodline, the limits of the trait are 4128,5-4327,4 kg with the average value by the line 4254,9 kg. In contrast, the first-calf heifers of Ryezvyi 33 bloodline with average milk yield 4048,9 kg had limits of the trait 2199,3-4736,1 kg. Even greater range in cows’ milk yield during the first lactation R= 4939 kg (limits 1687 – 6626 kg) is characterized for the herd in general, it shows, on the one hand, the possibility of qualitative improvement of cows’ productivity due to selection on the investigated trait and lack of selection in the herd on the other hand. It was established that daughters of bull Chardash belonging to Ryezvyi 33 bloodline produced 4736,1 kg of milk for 305 days of the first lactation with fat content 3,6%, whereas Zlak’s descendants of the same line were characterized by the lowest milk yield for the first completed lactation – 2199,3 kg with fat content 3,7% and the average value by the line – 4048,9 kg of milk, fat content 3,6%. Similar variability of first-calf heifers’ milk yields, depending on the origin, is typical for other bloodlines of Ukrainian Whiteheaded breed. To increase milk productivity of Ukrainian Whiteheaded cows is recommended to repeat successful combinations of parental forms, and to preserve the breed – to carry out an objective assessment of animals by a range of traits, given the efficiency of selection of heifers on live weight at early age.

Selection of china plum varieties (Prunus salicina lindl.) for use in modern plantings of the northern caucasus foothill zone

2020 ◽  
Vol 61 ◽  
pp. 69-76
Author(s):  
A. E. Dedova
Keyword(s):  
Northern Caucasus ◽  
Seasonal Growth ◽  
North Caucasus ◽  
Biometric Parameters ◽  
The North ◽  
Prunus Salicina ◽  
Breeding Station ◽  
New Varieties ◽  
Plum Varieties ◽  
Selection Of

This paper presents the results of two years of research (2018-2019) of the most important phonological phases of seasonal growth and development, biometric parameters, productivity and economic efficiency of new varieties of Chinese plum (P. salicina Lindl.) grown in the foothill zone of the North Caucasus in the Krymsk district of Krasnodar territory on a plot of the Krymsk experimental breeding station – branch of VIR. As a result of research, the varieties Angeleno, Black Star, Byron Gold, Black Amber, Larry Ann and Sun Gold were recommended for cultivation using intensive technologies.

Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysisThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.

Genome ◽  
2010 ◽  
Vol 53 (11) ◽  
pp. 1002-1016 ◽  
Author(s):  
B.R. Cullis ◽  
A.B. Smith ◽  
C.P. Beeck ◽  
W.A. Cowling
Keyword(s):  
Pedigree Information ◽  
Environment Interaction ◽  
Correlation Matrices ◽  
New Approach ◽  
Genome Wide ◽  
Selection Indices ◽  
New Varieties ◽  
Oilseed Brassicas ◽  
Analytic Models ◽  
Selection Of

Exploring and exploiting variety by environment (V × E) interaction is one of the major challenges facing plant breeders. In paper I of this series, we presented an approach to modelling V × E interaction in the analysis of complex multi-environment trials using factor analytic models. In this paper, we develop a range of statistical tools which explore V × E interaction in this context. These tools include graphical displays such as heat-maps of genetic correlation matrices as well as so-called E-scaled uniplots that are a more informative alternative to the classical biplot for large plant breeding multi-environment trials. We also present a new approach to prediction for multi-environment trials that include pedigree information. This approach allows meaningful selection indices to be formed either for potential new varieties or potential parents.

Selection of an aptamer against Muscovy duck parvovirus for highly sensitive rapid visual detection by label-free aptasensor

Talanta ◽  
2018 ◽  
Vol 176 ◽  
pp. 214-220 ◽  
Author(s):  
Taofeng Lu ◽  
Qin Ma ◽  
Wenzhuo Yan ◽  
Yuanzhi Wang ◽  
Yuanyuan Zhang ◽  
...  
Keyword(s):  
Visual Detection ◽  
Muscovy Duck ◽  
Label Free ◽  
Highly Sensitive ◽  
Muscovy Duck Parvovirus ◽  
Selection Of

scholarly journals Estimating the chance of success of information acquisition for the Norne benchmark case

2018 ◽  
Vol 73 ◽  
pp. 54 ◽  
Author(s):  
Vinicius Eduardo Botechia ◽  
Daniel Rodrigues dos Santos ◽  
Carlos Eduardo Andrade Barreto ◽  
Ana Teresa Ferreira da Silva Gaspar ◽  
Susana Margarida da Graça Santos ◽  
...  
Keyword(s):  
Information Acquisition ◽  
Imperfect Information ◽  
Reservoir Model ◽  
Economic Return ◽  
Average Value ◽  
Numerical Reservoir Simulation ◽  
Production Strategy ◽  
4D Seismic ◽  
Is Value ◽  
Selection Of

A key decision in field management is whether or not to acquire information to either improve project economics or reduce uncertainties. A widely spread technique to quantify the gain of information acquisition is Value of Information (VoI). However, estimating the possible outcomes of future information without the data is a complex task. While traditional VoI estimates are based on a single average value, the Chance of Success (CoS) methodology works as a diagnostic tool, estimating a range of possible outcomes that vary because of reservoir uncertainties. The objective of this work is to estimate the CoS of a 4D seismic before having the data, applied to a complex real case (Norne field). The objective is to assist the decision of whether, or not, to acquire further data. The methodology comprises the following steps: uncertainty quantification, selection of Representative Models (RMs), estimation of the acquisition period, production strategy optimization and, finally, quantification of the CoS. The estimates use numerical reservoir simulation, economic analysis, and uncertainty evaluation. We performed analyses considering perfect and imperfect information. We aim to verify the increment in economic return when the 4D data identifies the closest-to-reality reservoir model. While the traditional expected VoI calculation provides only an average value, this methodology has the advantage of considering the increase in the economic return due to reservoir uncertainties, characterized by different RMs. Our results showed that decreased reliability of information affected the decision of which production strategy to select. In our case, information reliability less than 70% is insufficient to change the perception of the uncertain reservoir and consequently decisions. Furthermore, when the reliability reached around 50%, the information lost value, as the economic return became similar to that of the case without information acquisition.

Selection of a DNA Aptamer against Zearalenone and Docking Analysis for Highly Sensitive Rapid Visual Detection with Label-Free Aptasensor

2018 ◽  
Vol 66 (45) ◽  
pp. 12102-12110 ◽  
Author(s):  
Yuanyuan Zhang ◽  
Taofeng Lu ◽  
Yue Wang ◽  
Chenxi Diao ◽  
Yan Zhou ◽  
...  
Keyword(s):  
Visual Detection ◽  
Dna Aptamer ◽  
Label Free ◽  
Docking Analysis ◽  
Highly Sensitive ◽  
Selection Of
Sign in / Sign up

Export Citation Format

Share Document