The Importance of the Period Immediately Preceding Anthesis for Grain Weight Determination in Wheat

Calderini, Daniel F.; Savin, Roxana; Abeledo, L. Gabriela; Reynolds, M.P.; Slafer, Gustavo A.

doi:10.1007/978-94-017-3674-9_66

Cited by 58 publications

(75 citation statements)

References 14 publications

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“…Individual seed weight was sensitive during a period from before flowering to 140% of flowering time corresponding to maturity. This result matched with Calderini et al (1999Calderini et al ( , 2001, who demonstrated that the period when the carpels (which will become the external structures of the grain) grow determines the final individual grain weight. The number of spikes was sensitive during a late period from 80% to 130% of flowering time, suggesting that the most sensitive process was probably not tillering itself, which occurs earlier, but rather tiller abortion around flowering.…”

Section: Relevance Of the Periods Of Sensitivities Calculated In The supporting

confidence: 80%

Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field

et al. 2017

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ORCID IDs: 0000-0002-7600-9592 (B.P.); 0000-0003-3851-8617 (J.B.); 0000-0001-9494-400X (P.L.); 0000-0002-7077-4103 (D.F.).Yield is subject to strong genotype-by-environment (G 3 E) interactions in the field, especially under abiotic constraints such as soil water deficit (drought [D]) and high temperature (heat [H]). Since environmental conditions show strong fluctuations during the whole crop cycle, geneticists usually do not consider environmental measures as quantitative variables but rather as factors in multienvironment analyses. Based on 11 experiments in a field platform with contrasting temperature and soil water deficit, we determined the periods of sensitivity to drought and heat constraints in wheat (Triticum aestivum) and determined the average sensitivities for major yield components. G 3 E interactions were separated into their underlying components, constitutive genotypic effect (G), G 3 D, G 3 H, and G 3 H 3 D, and were analyzed for two genotypes, highlighting contrasting responses to heat and drought constraints. We then tested the constitutive and responsive behaviors of two strong quantitative trait loci (QTLs) associated previously with yield components. This analysis confirmed the constitutive effect of the chromosome 1B QTL and explained the G 3 E interaction of the chromosome 3B QTL by a benefit of one allele when temperature rises. In addition to the method itself, which can be applied to other data sets and populations, this study will support the cloning of a major yield QTL on chromosome 3B that is highly dependent on environmental conditions and for which the climatic interaction is now quantified.

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Section: Relevance Of the Periods Of Sensitivities Calculated In The supporting

confidence: 80%

Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field

et al. 2017

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“…Appearance of high temperature stress at anthesis reduced grain number per ear and harvest index (Ugarte et al 2007). High temperature during the period that precedes anthesis reduces grain weight, as the consequence of negative temperature effects on carpel growth that occur in time of anthesis (Calderini et al 2001).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of spring barley performance by biplot analysis

Pržulj¹,

Mirosavljević²,

Čanak³

et al. 2015

Cereal Research Communications

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Unpredictable environmental conditions lead to occurrence of large genotype by environment (G × E) interaction. It reduces the correlation between genotypic and phenotypic values and complicates selection of superior genotypes. The objective of this study was to estimate genotype by year (G × Y) interaction using AMMI model, to identify spring barley genotypes with stable and high yield performance and to observe association of different meteorological variables with tested growing seasons. The trials with 15 spring barley genotypes were conducted during seven years (1999)(2000)(2001)(2002)(2003)(2004)(2005) at the location of Rimski Šančevi. The results showed that the influence of year (Y), genotype (G) and G × Y interaction on barley grain yield were significant (p < 0.01). Meteorological variables varied significantly from year to year and Y explained the highest percent of treatment variation (81%). The first three IPCA were significant and explained 83% of interaction variation. According to this study, it could be concluded that AMMI analysis provided an enhanced understanding of G × Y interaction in barley multi-years trials. Among the tested genotypes, LAV and NS 477 could be separated as highest yielding genotypes, however LAV could be recommended for further breeding program and large-scale production due to its stable and high yielding performance. It also provided better insight in specific association between spring barley grain yield and meteorological variables.

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“…In addition, increased TGW in 1BL/1RS lines was accompanied by increased SPAD and AWL. However, in wheat where grain-filling is mostly sink-limited (Borrás et al 2004), reductions in grain number cannot be compensated by grain Cereal Research Communications 43, 2015 weight (Calderini et al 2001;Ugarte et al 2007). Despite increased TGW in present study, 1BL/1RS class had lower grain yield due to decreased grain number.…”

Section: Discussionmentioning

confidence: 99%

Consequences of 1BL/1RS translocation on agronomic and physiological traits in wheat

Tahmasebi¹,

Heidari²,

Pakniyat³

et al. 2015

Cereal Research Communications

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The 1BL/1RS wheat-rye translocations had been used in wheat breeding programs worldwide. The objective of this study was to determine the effect of the 1BL/1RS translocation in SeriM82 /Babax recombinant population. 167 lines of this population were assayed under well-irrigated, terminal drought, heat and a combination of heat and drought stress conditions in two years. 5S rDNA and Iag95 markers were used to differentiate genotypes with or without the1BL/1RS translocation. Presence of 1BL/1RS translocation reduced grain yield (YLD), grain per spike (GSP) and grain per m 2 (GM2). QTLs in 1 BL/1RS segments indicated increased thousand-grain weight (TGW), chlorophyll content, spikelet per spike (SPLS), spike compactness (SCOM) and awn length (AWL) but reduced YLD, GSP and GM2. The 1BL/1RS carrying lines' response varied between assayed environments. Plants of drought trials were more affected by 1BL/1RS compared to others. Differences in the effects of 1BL/1RS and QTLs suggest that gene expression at translocation loci is restricted to specific environmental conditions. In general, the 1BL/1RS translocation could not be a suitable source of genetic diversity for enhancing grain yield under heat and drought stresses.

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The Importance of the Period Immediately Preceding Anthesis for Grain Weight Determination in Wheat

Cited by 58 publications

References 14 publications

Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field

Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field

Evaluation of spring barley performance by biplot analysis

Consequences of 1BL/1RS translocation on agronomic and physiological traits in wheat

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