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Adaptation patterns of winter wheat cultivars in agro-ecological regions

Published on Apr 1, 2019in Scientia Agricola1.43
· DOI :10.1590/1678-992x-2017-0183
Marcin Studnicki4
Estimated H-index: 4
(Warsaw University of Life Sciences),
Adriana Derejko2
Estimated H-index: 2
(Warsaw University of Life Sciences)
+ 1 AuthorsMichał Kosma1
Estimated H-index: 1
(Warsaw University of Life Sciences)
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  • References (26)
  • Citations (2)
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References26
Newest
Published on Jan 1, 2016in Crop Science1.64
Hans-Peter Piepho51
Estimated H-index: 51
(University of Hohenheim),
Mian Faisal Nazir1
Estimated H-index: 1
+ 12 AuthorsAbdullah1
Estimated H-index: 1
Published on Oct 1, 2015in Scientia Agricola1.43
Marcin Studnicki4
Estimated H-index: 4
(Warsaw University of Life Sciences),
Wiesław Mądry7
Estimated H-index: 7
(Warsaw University of Life Sciences)
+ 2 AuthorsElżbieta Wójcik-Gront2
Estimated H-index: 2
(Warsaw University of Life Sciences)
Cultivars have to be evaluated under different crop management systems across agro-ecosystems and years using multi-environment trials (MET) before releasing them to the market. Frequently, data collected in METs are arranged according to cultivar (G), management (M), location, (L) and year (Y) combinations in a four-way G x M x L x Y data table that is highly unbalanced for cultivars across locations and time. Therefore, we present the restricted maximum likelihood method (REML) for linear mixe...
Published on Jan 1, 2015in Theoretical and Applied Genetics3.93
Alison B. Smith20
Estimated H-index: 20
(UOW: University of Wollongong),
Aanandini Ganesalingam2
Estimated H-index: 2
(UWA: University of Western Australia)
+ 1 AuthorsBrian R. Cullis36
Estimated H-index: 36
(UOW: University of Wollongong)
Key message Factor analytic mixed models for national crop variety testing programs have the potential to improve industry productivity through appropriate modelling and reporting to growers of variety by environment interaction.
Published on Jan 1, 2015in Crop Science1.64
Thomas Eckl1
Estimated H-index: 1
,
Hans-Peter Piepho51
Estimated H-index: 51
(University of Hohenheim)
Published on Jan 1, 2015in Journal of Cereal Science2.45
Jan Rozbicki3
Estimated H-index: 3
(Warsaw University of Life Sciences),
A Ceglinska9
Estimated H-index: 9
(Warsaw University of Life Sciences)
+ 8 AuthorsMarcin Studnicki4
Estimated H-index: 4
(Warsaw University of Life Sciences)
Abstract The genotype, environment and their interaction play an important role in the grain yielding and grain quality attributes. The main aim of this study was to determine the contributions of the genotype, environment and their interaction to the variation in bread-making traits. The data that were used for the analyses performed in this study were obtained from 3 locations in Poland from post-registration multi-environment trials with winter wheat in 2009 and 2010. The experimental factors...
Published on Dec 1, 2014in Theoretical and Applied Genetics3.93
Friedrich Laidig5
Estimated H-index: 5
,
Hans-Peter Piepho51
Estimated H-index: 51
(University of Hohenheim)
+ 1 AuthorsUwe Meyer6
Estimated H-index: 6
Key message Yield progress in major German crops is generated mostly due to genetic improvement over the last 30 years. Comparison of trial-station with on-farm yield reveals considerable gaps that are widening over time.
Published on Jan 1, 2014in Crop Science1.64
Lucas Berger Munaro4
Estimated H-index: 4
,
Giovani Benin12
Estimated H-index: 12
+ 4 AuthorsEduardo Beche8
Estimated H-index: 8
The objectives of this study were to investigate the pattern of genotype environment interaction and identify megaenvironments (ME), essential test locations, and suitable genotypes for each ME. The genotype plus genotype by environment interaction (GGE) biplot and additive main effects and multiplicative interaction analysis (AMMI) were used to demonstrate the potential of using a graphical biplot to analyze the genotype by environment interaction (GEI) in data of multienvironment trials (MET)....
Published on Aug 1, 2013in Field Crops Research3.87
Ivan D. Barrero Farfan2
Estimated H-index: 2
(A&M: Texas A&M University),
Seth C. Murray17
Estimated H-index: 17
(A&M: Texas A&M University)
+ 1 AuthorsDennis Pietsch2
Estimated H-index: 2
(A&M: Texas A&M University)
Abstract Grain yield in maize has increased steadily in the Midwestern United States since the 1930s but trends are not clear for the maize production zones in the southern states, of which Texas is the major producer. The objective of this study was to elucidate trends of maize yields in Texas for the last 11 years and to identify any significant patterns in breeding and testing maize that can be exploited for improvement. A linear mixed model applied to 107 corn performance trials grown involv...
Published on Jul 1, 2013in Field Crops Research3.87
Shiming Liu7
Estimated H-index: 7
(CSIRO: Commonwealth Scientific and Industrial Research Organisation),
G.A. Constable9
Estimated H-index: 9
(CSIRO: Commonwealth Scientific and Industrial Research Organisation)
+ 2 AuthorsBrian R. Cullis36
Estimated H-index: 36
(UOW: University of Wollongong)
a b s t r a c t New cultivars, improved management and their interactions are key drivers of yield progress in field crops. This study examined the contribution of these factors to cotton yield increase in Australia with the adoption of 23 key locally bred cultivars developed by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) cotton breeding programme up to 2006. A lint yield dataset of advanced line trials from 1980 to 2009 (325 experiments) was analysed by a linear mix...
Published on Jan 1, 2013in Agronomy Journal1.80
Mathew Tapley1
Estimated H-index: 1
(AU: Auburn University),
Brenda V. Ortiz12
Estimated H-index: 12
(AU: Auburn University)
+ 3 AuthorsD. B. Weaver17
Estimated H-index: 17
(AU: Auburn University)
In the Southeast, winter wheat (Triticum aestivum L.) is typically planted from late October to early December. However, grain yield is reduced by an interaction of weather, soil, and plant factors. From 2009 to 2012 a study was conducted at three locations in Alabama to evaluate the seeding date eff ect on yield and yield components of three cultivars. Th e AGS 2060, AGS 2035, and Baldwin cultivars were evaluated within four seeding dates at approximately 15-d intervals. Results showed that gra...
Cited By2
Newest
Published on Jul 21, 2019in Agronomy
Marcin Studnicki4
Estimated H-index: 4
,
Tomasz Lenartowicz + 2 AuthorsZdzisław Wyszyński
The yield and yield quality of sugar from the sugar beet (Beta vulgaris L.) and are determined by genotype, environment and crop management. This study was aimed at analyzing the stability of white sugar yield and the adaptation of cultivars based on 36 modern sugar beet cultivars under different environmental conditions. The compatibility of sugar beet cultivars’ rankings between the three growing seasons and between the 11 examined locations was assessed. In addition, an attempt was made to gr...
Published on May 15, 2019in Agronomy
Marcin Studnicki4
Estimated H-index: 4
,
Manjit S. Kang32
Estimated H-index: 32
+ 3 AuthorsWiesław Mądry7
Estimated H-index: 7
Cultivar recommendation based on mean performance determined by multi-environment trials (METs) conducted on research stations could be unreliable and ineffective for assessing performance in farmers’ fields. It is important to improve the efficiency of cultivar recommendation based on METs. For this purpose, it would be useful to validate recommendations based on yield data obtained directly from farmers, i.e., through surveys. The aim of this study was to discuss the possibility and statistica...
Published on Oct 1, 2018in Field Crops Research3.87
Elżbieta Wójcik-Gront2
Estimated H-index: 2
(Warsaw University of Life Sciences)
Abstract The main goal of this study was to determine the major drivers of variation for the yield-scaled Global Warming Potential (GWP) and yield of winter wheat in Poland focusing on environmental, genetic and management variables. The yield-scaled GWP is the GWP calculated per grain unit expressed in kg CO 2 equivalent kg −1 yield. The analysis was performed using multivariate statistical methods: CART (classification and regression tree) and RF (random forest). This is the first study in Pol...
View next paperComparison of some indices for evaluating wide adaptation degree of cultivars on the basis of data from pre-registration trials with winter wheat.