Genetic analysis of spike length in wheat

Mladenov, Velimir; Dimitrijević, Miodrag; Petrović, Sonja; Boćanski, Jan; Banjac, Borislav; Kondić‐Špika, Ankica; Trkulja, Dragana

doi:10.2298/gensr1901167m

Cited by 11 publications

(12 citation statements)

References 14 publications

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“…A large sum of squares for the environments indicated differences between the growing seasons and diversity of treatments caused a considerable sum of squares for environmental factors in the total variation, indicating that these factors were the most responsible for the variation of the spike length. A higher influence of environmental factor on the spike length was also observed by Zečević et al [ 30 ] and Mladenov et al [ 31 ].…”

Section: Resultssupporting

confidence: 69%

“…Significant interactions between environment and wheat cultivars in spike length, as high share of the first two main components IPCA1 and IPCA2 in the GE variation have been reported by Brbaklić et al [ 32 ] and Mladenov et al [ 31 ]. According to the biplot ( Figure 2 a) and in terms of the average values ( Table 5 ), it can be noticed that, except for certain exceptions, all of the agroecological environments are quite near to the level of the experimental overall average.…”

Section: Resultsmentioning

confidence: 81%

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Genotype × Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions

Popović

Ljubičić

Kostić

et al. 2020

Plants

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Different seed priming treatments are widely used in order to improve the nutritional status of wheat, as well as to improve its grain yield and yield- related traits. The present study aimed to evaluate the impact of seed priming with zinc oxide nanoparticles (ZnO NPs) on the yield related traits, such as, field emergence, plant height, spike length and grain yield per plant of four winter wheat genotypes (Triticum aestivum L.) during two vegetation seasons of 2018/2019 and 2019/2020. The seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0 mg L−1, 10 mg L−1, 100 mg L−1 and 1000 mg L−1) for 48 h in a dark box by continuous aeration and were sown in soil pots with 60–70% moisture content until full maturity. The additive main effects and multiplicative interaction (AMMI) models were used to study the genotype environment effects. The results indicated that the plants response to ZnO nanoparticles significantly increased all of the observed traits of the wheat, while its maximum rates reduced the traits of the wheat. The AMMI analysis revealed the very complex nature of the variation observed in the trial and showed the significant effect of the G×E interaction, in which the first main component was significant for all components.

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Section: Resultssupporting

confidence: 69%

Section: Resultsmentioning

confidence: 81%

Genotype × Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions

Popović

Ljubičić

Kostić

et al. 2020

Plants

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show abstract

“…In the AMMI model, the ANOVA separate additive effects from the interaction, while additional GEI analysis can be carried out by principle component analysis (PCA). The biplot graphic representation shows both the main and interaction effects for genotypes and environments simultaneously and provides analysis of the G × E interaction [ 22 , 36 , 40 , 41 ]. The IPCA1 score of a genotype in the AMMI analysis was used as an indicator of the stability of a genotype over environments [ 12 , 42 ].…”

Section: Methodsmentioning

confidence: 99%

“…Adverse effects of high Na concentration in the B horizon on management practices and on seedbed preparation has been observed by Cairns [ 19 ], while adverse effect to the uptake of plant nutrients by the roots was observed by Peters [ 20 ] and Miller and Brierley [ 11 ]. Despite wheat being considered as basically grass, durable and more resistant to limiting factors in agricultural production than many other crops, the considerable decreases in yield and yield related traits have been observed in wheat production under stress conditions of halomorphic soils [ 5 , 21 , 22 ]. At the same time, global demand for wheat is estimated to increase by 2050, as a consequence of growing dietary requirements of an increasing world population [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions

Ljubičić

Popović

Ćirić

et al. 2021

Plants

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The less productive soils present one of the major problems in wheat production. Because of unfavorable conditions, halomorphic soils could be intensively utilized using ameliorative measures and by selecting suitable stress tolerant wheat genotypes. This study examined the responses of ten winter wheat cultivars on stressful conditions of halomorphic soil, solonetz type in Banat, Serbia. The wheat genotypes were grown in field trails of control and treatments with two soil amelioration levels using phosphor gypsum, in amounts of 25 and 50 tha−1. Across two vegetation seasons, phenotypic variability and genotype by environment interaction (GEI) for yield traits of wheat were studied. The additive main effects and multiplicative interaction (AMMI) models were used to study the GEI. AMMI analyses revealed significant genotype and environmental effects, as well as GEI effect. Analysis of GEI using the IPCA (Interaction Principal Components) analysis showed a statistical significance of the first two main components, IPCA1 and IPCA2 for yield, which jointly explained 70% of GEI variation. First source of variation IPCA1 explained 41.15% of the GEI for the grain weight per plant and 78.54% for the harvest index. The results revealed that wheat genotypes responded differently to stressful conditions and ameliorative measures.

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“…According to the results of this study, there was a notable variation in GY and NUE among winter wheat cultivars when grown under different environmental conditions and soil N level. Similarly, many previous studies showed significant variation in small grain cereal GY between growing seasons and locations under conditions of the Pannonian plain (PRŽULJ et al, 2015;MLADENOV et al, 2018;MLADENOV et al, 2019). Generally, influence of the environmental conditions (season/location) is a major source of GY variation in different cereal crops, while effect of the others factors are less pronounced (MIROSAVLJEVIĆ et al, 2018).…”

Section: Discussionmentioning

confidence: 63%

Variation in nitrogen use efficiency of winter wheat

Mirosavljević¹,

Aćin²,

Sabadoš³

et al. 2019

Genetika

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Optimization of nitrogen fertilization to specific cultivar requirements is a major objective for improvement of trade-offs between grain yield, environmental sustainability and maximum profitable production. The aim of this study was to assess the effects of nitrogen fertilization on grain yield, and nitrogen use efficiency of modern wheat cultivars in different growing seasons. The trials with eight winter wheat cultivars and seven topdressing nitrogen treatments were carried out in three successive growing seasons under rain-fed conditions of the southern Pannonian plain. The results from our study showed a significant variation in grain yield and nitrogen use efficiency among winter wheat cultivars when grown under different environmental and soil nitrogen level conditions. On average, grain yield ranged from 4961 to 6375 kg ha-1 among winter wheat cultivars. Increase of N soil level resulted in significant grain yield increase and nitrogen use efficiency decrease compared to the control. In 2015/16, 2016/17, and 2017/18 growing seasons grain yield of winter wheat cultivars reached plateau at 156, 175, and 128 nitrogen soil level, respectively. Significant influence of cultivar by nitrogen fertilization interaction indicated that it is necessary to adjust nitrogen fertilization to each cultivar. Moreover, notable weather variability between different growing seasons is a major limiting factor for optimal nitrogen fertilizer application in winter wheat production under conditions of the Pannonian plain.

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Genetic analysis of spike length in wheat

Abstract: the geographical origin could not explain the grouping of genotypes within the same, so the division into two groups was done on the basis of their lines of descent.

Cited by 11 publications

References 14 publications

Genotype × Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions

Genotype × Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions

Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions

Variation in nitrogen use efficiency of winter wheat

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