Yield Components Compensation in Winter Wheat (Triticum aestivum L.) Is Cultivar Dependent

Mandea, V.; Mustăţea, P.; Marinciu, C.; Șerban, Gheorghe; Meluca, Cristina; Păunescu, Gabriela; Isticioaia, Simona – Florina; Dragomir, Cristian; Bunta, G.; Filiche, E.; Voinea, L.; Lobonțiu, Iustina; Domokos, Zsuzsa; Voica, M.; Ittu, G.; Sãulescu, N. N.

doi:10.59665/rar3604

Cited by 4 publications

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“…Similarly, NKS negatively correlated with SMD at KRIAPG and positively correlated with SMD at the KBS site (Figure 1). Expectedly, as detailed in many published reports [46][47][48], NKS negatively correlated with TKW at both locations. TKW was more strongly correlated with YM2 at KRIAPG (0.33) in comparison to KBS (0.17).…”

Section: Discussionsupporting

confidence: 61%

Association Mapping of Quantitative Trait Loci for Agronomic Traits in a Winter Wheat Collection Grown in Kazakhstan

Amalova,

Yessimbekova,

Ortaev

et al. 2023

Agronomy

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Central Asia is an important region for the growth of winter wheat, with a cultivation area of more than 15 million hectares (ha). However, the average yield is approximately 3 tons per ha, which is significantly lower than that in developed countries. Therefore, the development of new competitive high-yielding cultivars, including those based on the application of modern molecular genetics tools, is a key priority in winter wheat breeding projects. One of these tools is the result of the identification of new genes and quantitative trait loci (QTLs) for agronomic traits using diverse germplasm panels and genome-wide association studies (GWAS). In this work, a panel of winter wheat accessions was assembled using 115 accessions from Central Asia and 162 samples from other regions of the world. The GWAS, based on a two-year field evaluation of the collection in Kazakhstan’s southern and southeastern regions and 10,481 polymorphic SNP (single-nucleotide polymorphism) markers, allowed for the detection of 173 stable QTLs in nine studied agronomic traits. A survey of the published scientific literature suggests that 23 of these 173 stable QTLs have locations similar to those of previously reported QTLs, supporting the robustness of the research. In addition, 221 and 162 accessions surpassed local standards for grain yield at Kazakhstan’s southern and southeastern stations, respectively. Therefore, this study is an additional contribution to the identification of new QTLs for key agronomic traits and valuable genetic lines in winter wheat breeding projects.

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Section: Discussionsupporting

confidence: 61%

Association Mapping of Quantitative Trait Loci for Agronomic Traits in a Winter Wheat Collection Grown in Kazakhstan

Amalova,

Yessimbekova,

Ortaev

et al. 2023

Agronomy

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Correlations between grain yield and related traits in winter wheat under multi-environmental traits

Tsenov¹,

Gubatov²,

Yanchev³

2020

AST

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Abstract. In a series of field trials, a database of quantitative traits associated with winter wheat grain yield has been collected. The aim of the present study is to determine the relationships between the winter wheat (Triticum aestivum L.) traits of productivity in environments causing the maximum possible variation of each of the traits. In order to determine the correlations between the quantitative characters studied, all possible statistical methods have been applied (regression analysis, PCA, Multiple Correspondence analysis), which complement each other. It was found that the nature of the correlations between traits depends to a large extent on the methods for their evaluation. There are high and significant correlations between grain yields and the grain number per spike (weight of grain per spike and number of grains per m2) even under strong genotype by environment interaction of all the traits in trails. The established results are related to possible options for increasing winter wheat grain yield by breeding.

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Correlations between quantitative traits of winter common wheat-breeding tool for increasing grain yield

Tsenov¹,

Gubatov²,

Yanchev³

2021

AST

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Abstract. Information on the relationships between quantitative traits affecting yields is extremely important for winter wheat. For it, the annual genotype*environment interaction is palpable and often masks the influence of individual traits on grain yield. The aim of the study is to determine the traits through the selection of which the grain yield could be significantly increased in the future. The data from three field multifactorial experiments were used (FERT, PGR, ABC), in which a significant influence of various factors (year, point, density, fertilization) on the size and variation of all studied traits was established. In the database thus formed the observed strong variance in the values of the traits is a great prerequisite for the established correlations to be accepted with a high degree of reliability. The mutual influence in the formation of each of the traits is a good basis for their grouping, according to the type of their effect on yield. 1) The characteristics, number of grains per m2 (NGm), grain weight per spike (WGS) and number of productive tillers per m2 (NPT) have a significantly positive effect on grain yield, 2) the weight per 1000 grains (TGW) and number of grains in spike (NGS) are traits that have a direct effect, but it is unstable in manifestation and 3) the traits, as height of stem (HOS), total plant biomass (TBM), and harvest index (HI) do not show a direct effect on grain yields. A significant increase in yield in the breeding of winter wheat can be achieved by increasing the number of grains per unit area (NGm). This is possible while maintaining the achieved level of number of grains in spike (NGS) with a parallel increase of tillering productive ability (NPT). The increase of this trait by selection should be taken into account when reducing the grain size (TGW). This will increase the chance of increasing the number of grains in the spike (NGS), will reduce the weight of the grain per spike (WGS), which in turn will be a prerequisite for optimizing the stability of lodging

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Yield Components Compensation in Winter Wheat (Triticum aestivum L.) Is Cultivar Dependent

Cited by 4 publications

References 0 publications

Association Mapping of Quantitative Trait Loci for Agronomic Traits in a Winter Wheat Collection Grown in Kazakhstan

Association Mapping of Quantitative Trait Loci for Agronomic Traits in a Winter Wheat Collection Grown in Kazakhstan

Correlations between grain yield and related traits in winter wheat under multi-environmental traits

Correlations between quantitative traits of winter common wheat-breeding tool for increasing grain yield

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