Genotype by environment interactions in wheat quality breeding programs in southeast Europe

Hristov, Nikolay; Mladenov, Novica; Djuric, Veselinka; Kondić‐Špika, Ankica; Marjanović-Jeromela, Ana; Šimić, Domagoj

doi:10.1007/s10681-009-0100-8

Cited by 76 publications

(50 citation statements)

References 33 publications

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“…AMMI analysis showed 6-47 % contribution from GEI to total variation in terms of 1 to 4 principal component axes (Prashant et al 2015 ). Similarly, Hristov et al ( 2010 ) showed signifi cant GEI contribution to LV, SV and GPC by AMMI analysis. It is possible that GEI could infl uence correlations among LV and its predictive tests thereby making it necessary to examine them individually in year-location combinations.…”

Section: Contributions Of G E and Gei Effects For Drt And Bmq Traitsmentioning

confidence: 82%

Complex G × E Interactions and QTL Clusters Govern End-Use Quality Traits in Hexaploid Wheat

Prashant

Mani

Rai

et al. 2015

Advances in Wheat Genetics: From Genome to Field

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Evaluation of wheat end-use quality in terms of loaf volume (LV) requires enormous time and labor inputs. Hence, many studies have attempted to use grain, fl our and dough properties to predict LV. Many quantitative trait loci (QTL) underlying these traits have also been identifi ed to facilitate breeding. However, correlations between such predictive tests and LV as well as their QTLs could be infl uenced by the environment. In this chapter, we review recent literature on the correlations and G × E interaction (GEI) of the bread making quality traits grain protein content (GPC), sodium dodecyl sulphate sedimentation volume (SV), dough rheological traits (DRT) and LV. We briefl y discuss our results from the evaluation of a hexaploid wheat recombinant inbred line population for GPC, SV, LV and nine DRT by mixograph analysis in six year-location environments in India, which revealed that correlations between DRT and LV were not stable across environments. In addition, GEI measured in terms of principal components using Additive main effects and multiplicative interaction model showed up to 47 % contribution to the total variation of the traits, which was refl ected in the location-specifi city of QTLs expressed in single as well as multiple environments. Even though 16 QTL clusters for four to seven traits were identifi ed, only one of them involved LV. The strong infl uence of the environment on complex interrelationships between DRT and the other end-use quality traits suggested that during breeding for wheat end-use quality, markerbased selection of these traits would be more effi cient if specifi c agro-climatic zones are targeted separately.

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Section: Contributions Of G E and Gei Effects For Drt And Bmq Traitsmentioning

confidence: 82%

Complex G × E Interactions and QTL Clusters Govern End-Use Quality Traits in Hexaploid Wheat

Prashant

Mani

Rai

et al. 2015

Advances in Wheat Genetics: From Genome to Field

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“…Genotypes on the highest point in certain sections of the graph have the best results in environments located in the same section (Figure 2) (Yan, 2001, Gvozdanović-Varga, et al 2004, Hristov et al, 2010. A large group of genotypes (Banacanka, Samurai, Oktavija, Jana, UM-1, UM-2, UM-5, UM-6, UM-9, UM-10, and UM-11), with average seed yield per plant close to the general mean of 7.41 g, are distinguished on the biplot.…”

Section: Resultsmentioning

confidence: 99%

Genotype by environment interaction for seed yield per plant in rapeseed using AMMI model

Marjanović-Jeromela

Nagl

Gvozdanović–Varga

et al. 2011

Pesq. agropec. bras.

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-The objective of this study was to assess genotype by environment interaction for seed yield per plant in rapeseed cultivars grown in Northern Serbia by the AMMI (additive main effects and multiplicative interaction) model. The study comprised 19 rapeseed genotypes, analyzed in seven years through field trials arranged in a randomized complete block design, with three replicates. Seed yield per plant of the tested cultivars varied from 1.82 to 19.47 g throughout the seven seasons, with an average of 7.41 g. In the variance analysis, 72.49% of the total yield variation was explained by environment, 7.71% by differences between genotypes, and 19.09% by genotype by environment interaction. On the biplot, cultivars with high yield genetic potential had positive correlation with the seasons with optimal growing conditions, while the cultivars with lower yield potential were correlated to the years with unfavorable conditions. Seed yield per plant is highly influenced by environmental factors, which indicates the adaptability of specific genotypes to specific seasons.

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“…Hard leathery chaff protects the kernel from air pollution and pests, making spelt suitable for ecological (organic) farming (Glamoclija et al, 2015). Hristov et al (2010) point out that, increating new cultivars, we do not use enough of positive traits of rare cultivars and populations and their relative swith high genetic variability, which we are extra ordinary rich in. Plant breeding is about accumulating a number of desirable genes and combining them into one genotype (Pavićević, 1985(Pavićević, , 1988.…”

Section: Introductionmentioning

confidence: 99%

MORPHOLOGICAL AND PRODUCTIVE TRAITS OF SPELT WHEAT - Triticum spelta L.

Janković¹,

Ikanović²,

Popović³

et al. 2015

AgricultForest

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SUMMARYSpelt [Triticum spelta (L.)] is a wheat species that is becoming increasingly popular in the production of safe food, and also due to rising possibilities for ecological farming of this alternative crop. Two-year research on possibilities of growing spelt was carried out during 2011 and 2012, on the experimental field of the Institute of Agriculture in Banja Luka (Republic of Srpska). The subject-matter of the research was two spelt cultivars: Hungarian cultivar Ekö-10 and Serbian Novi Sad cultivar Nirvana. The trials were set up in the form of a randomised block design with three repetitions. The trials investigated the following morphological and productive traits: plant height, spike length and 1000-grain weight. The results show that the cultivars have a large genetic potential. Statistically, Nirvana had significantly higher plants (150.66 cm), longer spikes (8.37 cm) and higher1000-grain weight (46.39 g) than cultivar Ekö-10 that had lower values in the both years of research. Identifying correlations enabled better understanding of interrelations among the traits and their balancing, in order to increase yield per unit area. The conditions of the trial site were proved favourable for growing spelt.

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Genotype by environment interactions in wheat quality breeding programs in southeast Europe

Cited by 76 publications

References 33 publications

Complex G × E Interactions and QTL Clusters Govern End-Use Quality Traits in Hexaploid Wheat

Complex G × E Interactions and QTL Clusters Govern End-Use Quality Traits in Hexaploid Wheat

Genotype by environment interaction for seed yield per plant in rapeseed using AMMI model

MORPHOLOGICAL AND PRODUCTIVE TRAITS OF SPELT WHEAT - Triticum spelta L.

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