scholarly journals Ramularia collo-cygni: a new pathogen spreading in barley fields in Estonia

2018 ◽  
Vol 27 (2) ◽  
Author(s):  
Andres Mäe ◽  
Pille Sooväli ◽  
Lee Põllumaa
Keyword(s):  
Natural Infection ◽  
Spring Barley ◽  
Growth Stages ◽  
Environment Interaction ◽  
Barley Cultivars ◽  
Crop Fields ◽  
Genotype Environment Interaction ◽  
Ramularia Leaf Spot ◽  
Barley Leaves

Ramularia leaf spot (RLS) caused by the fungus Ramularia collo-cygni (Rcc) is affecting barley fields throughout temperate regions worldwide. The first finding of RLS in Estonia was reported on spring barley in 2012 and since then the area of RLS infection has been widening in Estonia. This work has been carried out to monitor the natural infection of Rcc in two winter barley cultivars and to follow artificial fungal infection by a PCR-based assay. Using our approach, we could detect presence of the fungal pathogen in barley leaves before the appearance of disease symptoms at early growth stages. Response of two tested cultivars to Rcc infection in the field conditions was different, showing genotype-environment interaction in the development and spreading of Rcc. In harvested grain samples at the end of growing season no Rcc infection was detected. The role of external inoculum, Rcc conidia transmitted from various grasses (Poaceae) growing next to crop fields, is discussed. These results provide further insight into the epidemiology of Rcc.

Genotype × environment interaction patterns for grain yield of spring barley in different regions of Kazakhstan

2013 ◽  
Vol 49 (2) ◽  
pp. 196-205 ◽  
Author(s):  
Y. Turuspekov ◽  
B. Sariev ◽  
V. Chudinov ◽  
G. Sereda ◽  
L. Tokhetova ◽  
...  
Keyword(s):  
Grain Yield ◽  
Spring Barley ◽  
Environment Interaction ◽  
Interaction Patterns ◽  
Genotype Environment Interaction

scholarly journals Morphological characters, plant phenology and yield of spring barley (Hordeum sativum L.) depending on cultivar properties and sowing date

2012 ◽  
Vol 65 (2) ◽  
pp. 171-176 ◽  
Author(s):  
Kazimierz Noworolnik
Keyword(s):  
Grain Yield ◽  
Unit Area ◽  
Spring Barley ◽  
Sowing Date ◽  
Morphological Characters ◽  
Grain Weight ◽  
Growth Stages ◽  
Barley Cultivars ◽  
State Research Institute ◽  
1000 Grain Weight

During the period 2008-2010, microplot experiments on spring barley were carried out in the experimental field of the Institute of Soil Science and Plant Cultivation – State Research Institute in Puławy, on a good wheat soil complex. The following cultivars were compared: ‘Conchita’, ‘Kormoran’, ‘Rufus’, ‘Skald’, ‘Skarb’ (2008-2009) as well as ‘Afrodite’, ‘Aliciana’, ‘Bordo’, ‘Skald’, and ‘Suweren’ (2009-2010), in terms of their morphological characters determining grain yield and their response to sowing date: 7-12 April and 17-22 April. Among the spring barley cultivars tested, there were large differences in productive tillering of plants, number of ears per unit area, and grain yield. Smaller differences related to number of grains per ear and 1000 grain weight. The cultivars ‘Suweren’ and ‘Skarb’ were characterized by high grain yield thanks to greater plant tillering and higher number of ears. The cultivar ‘Bordo’ was marked by the highest number of grains per ear, while cv. ‘Kormoran’ had the highest 1000 grain weight. A delayed sowing date caused a shortening of the growing season by 8-9 days and a shortening of all plant growth stages. This negatively affected number of ears per unit area and grain yield, but did not result in significant changes in number of grains per ear and 1000 grain weight. ‘Suweren’ and ‘Skarb’, i.e. cultivars with higher tillering ability, can be considered to be cultivars more tolerant to delayed sowing date.

scholarly journals Assessment of ecological stability in yield for breeding of spring barley cultivars with increased adaptive potential

2020 ◽  
Vol 11 (3) ◽  
pp. 425-430
Author(s):  
V. M. Hudzenko ◽  
O. A. Demydov ◽  
V. P. Kavunets ◽  
L. M. Kachan ◽  
V. A. Ishchenko ◽  
...  
Keyword(s):  
Spring Barley ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Ecological Stability ◽  
Breeding Lines ◽  
Barley Cultivars ◽  
Genotype By Environment ◽  
Barley Breeding ◽  
Agroclimatic Zones

Increasing crop adaptability in terms of ensuring a stable level of productivity in the genotype – environment interaction is still the central problem of plant breeding theory and practice. The aim of the present study is to theoretically substantiate and practically test a scheme of multi-environment trials, as well as interpret experimental data using modern statistical tools for evaluation of the genotype by environment interaction, and highlight the best genotypes with combining yield performance and ecological stability at the final stage of the spring barley breeding process. For this purpose in the first year of competitive testing (2016) at the V. M. Remeslo Myronivka Institute of Wheat of the National Academy of Agrarian Sciences of Ukraine we selected nine promising spring barley breeding lines. In 2017 and 2018 these breeding lines were additionally tested in two other scientific institutions located in different agroclimatic zones of Ukraine. For a more reliable assessment, the breeding lines were compared not only with standard cultivar, but also with ten spring barley cultivars widespread in agricultural production of Ukraine. Thus, for three years of competitive testing, we received experimental genotype-environmental data from seven environments, which represent a combination of contrasting agroclimatic zones (Central part of the Forest-Steppe, Polissia and Northern Steppe of Ukraine) and different years (2016–2018). Our results revealed significant variability of mean yield of genotypes, as well as cross-over genotype by environment interaction. The first two principal components of both AMMI and GGE biplot explained more than 80% of the genotype by environment interaction. In general, the peculiarities we revealed indicate the effectiveness of the proposed combination of spatial (agroclimatic zones) and temporal (years) gradients to identify the best spring barley genotypes with the optimal combination of yield performance and ecological stability. Using AMMI and GGE biplot models was effective for the comprehensive differentiation of genotypes in terms of wide and specific adaptability, as well as for qualitative characterization of test environments and providing mega-environment analysis. As a practical result of the multi-environment trial, four spring barley breeding lines have been submitted to the State Variety Testing of Ukraine as new cultivars MIP Sharm, MIP Tytul, MIP Deviz and MIP Zakhysnyk, respectively.

scholarly journals GGE biplot analysis of genotype × environment interaction in spring barley varieties

2014 ◽  
Vol 0 (106) ◽  
pp. 93-102
Author(s):  
П. М. Солонечний ◽  
М. Р. Козаченко ◽  
Н. І. Васько ◽  
О. Г. Наумов ◽  
О. Є. Важеніна ◽  
...  
Keyword(s):  
Spring Barley ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Biplot Analysis ◽  
Genotype Environment Interaction

Genotype × environment interaction of potato chip colour

1999 ◽  
Vol 79 (3) ◽  
pp. 433-438 ◽  
Author(s):  
G. C. C. Tai ◽  
W. K. Coleman
Keyword(s):  
Regression Analysis ◽  
Storage Temperature ◽  
Environment Interaction ◽  
Marketable Yield ◽  
Environmental Index ◽  
Glucose Content ◽  
Chip Colour ◽  
Genotype Environment Interaction ◽  
Temperature Regimes

Ten potato genotypes were tested in replicated trials over three sites in New Brunswick. Five of them were tested in 1991, 1992 and 1993, and another five in 1992 and 1993. Tubers were harvested and put in storage rooms with two temperature regimes: 7 °C and 13 °C. Prior to testing glucose content and chip colour, a portion of tubers stored in 7 °C was sampled and subjected to reconditioning for 2 and 4 wk in a storage room with the temperature regime of 21 °C. High relative humidity (>80%) was maintained in all storage rooms. Glucose and colour score of chips were determined during November in each of the three years. Analysis of variance revealed genotype × environment interactions for both traits. Since variation of chip colour is controlled primarily by glucose content in potatoes, this causal relationship was used as a basis to perform path regression analysis for each of the genotypes, based on all available data of the two traits. The regression equation is composed of two terms: an average chip score over environments (µ) and a multiplicative term with a genotypic coefficient (g) and an environmental index (r); µ measures the overall chipping ability, whereas g responds to environment and thus represents chipping stability. The 10 genotypes were different from one another on estimates of both parameters. The estimates of r showed lesser differences between the three test sites than between storage-temperature regimes. Storing potatoes at 13 °C and 7 °C gave the best and worst chip-colour scores, respectively. Reconditioning at 21 °C after storing at 7 °C improved the colour performance. No clear association was observed between chip colour, specific gravity and marketable yield. Good chipping genotypes tested in the experiment, however, had lower yields than others. The present results indicate that path regression analysis is an effective method for detecting the role of glucose content in the control of the expression of chip colour. Key words: Potato, Solanum tuberosum, chip colour, glucose content, storage

scholarly journals Some aspects of adaptation and adaptability of barley in European conditions.

1985 ◽  
Vol 33 (3) ◽  
pp. 195-213
Author(s):  
L. Jestin
Keyword(s):  
Statistical Models ◽  
Spring Barley ◽  
Winter Barley ◽  
General View ◽  
Environment Interaction ◽  
Interaction Patterns ◽  
Statistical Procedures ◽  
Genotype Environment Interaction ◽  
Nw Europe ◽  
Recent Extension

After a review of different approaches found in the literature to problems of adaptation and adaptability of barley, attention is paid to the ecophysiological reasons which may explain the recent extension of winter barley cultivation in NW Europe. A brief account is given of cooperative trials carried out in Europe to define spring barley varietal adaptability ("ESBAN" and "JESBT" trials). A general view of current statistical procedures to analyse adaptability and genotype environment interaction patterns is presented. Some indications are given of the use that the breeder can make of ecophysiological methodology and statistical models in breeding barley for wider adaptation. (Abstract retrieved from CAB Abstracts by CABI’s permission)

Response of spring barley cultivars to Ramularia leaf spot in conditions of the Czech Republic

2013 ◽  
Vol 41 (1) ◽  
pp. 126-132 ◽  
Author(s):  
P. Matušinsky ◽  
M. Hanusová ◽  
L. Stemberková ◽  
P. Mařík ◽  
V. Minaříková ◽  
...  
Keyword(s):  
Czech Republic ◽  
Leaf Spot ◽  
Spring Barley ◽  
The Czech Republic ◽  
Barley Cultivars ◽  
Ramularia Leaf Spot
Sign in / Sign up

Export Citation Format

Share Document