Grain yield genetic gains and changes in physiological related traits for CIMMYT’s High Rainfall Wheat Screening Nursery tested across international environments

Gerard, Guillermo Sebastián; Crespo‐Herrera, Leonardo; Crossa, José; Mondal, Suchismita; Govindan, Velu; Juliana, Philomin; Espino, Julio Huerta; Vargas, Mateo; Rhandawa, Mandeep S.; Bhavani, Sridhar; Braun, Hans J.; Singh, Ravi P.

doi:10.1016/j.fcr.2020.107742

Cited by 40 publications

(33 citation statements)

References 28 publications

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“…Data from the current study demonstrates experimentally how heat intensity during the grain filling period is a major determinant for IGW and grain yield in irrigated field conditions (Fig. 6), agreeing with previous reports for crops grown under rainfed field conditions (Gebeyehou et al, 1982;Gerard et al, 2020;Telfer et al, 2018;Thistlethwaite et al, 2015).…”

Section: Impact Of Post-flowering Heat Events On Individual Grain Weight and Yieldsupporting

confidence: 92%

A robust field-based method to screen heat tolerance in wheat

Ullah

Christopher

Frederiks³

et al. 2021

Preprint

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Wheat crops are highly sensitive to elevated temperatures, particularly during pollen meiosis and early grain filling. As the impact of heat stress greatly depends on the developmental stage of a crop, wheat germplasm ranking for heat tolerance in field experiments may be confounded by variation in developmental phase between genotypes at the time of heat events. Deploying an artificial-photoperiod-extension method (PEM) has allowed screening of diverse genotypes at matched developnemtal phases during natural heat events despite phenological varations. Irrigated experiments with 32 wheat genotypes were conducted in south-east Queensand, Australia with either (i) the PEM or (ii) conventional field plots. The Ppaired PEM and conventional field plot trials were sown at differentwith serial sowing dates from June to September.. In the PEM, plants were sown in single rows or in small plots and artificial supplemental lighting was installed at one end of each row/plot, extending day length to 20 h close to the lights. The intensity of supplementary lighting diminished as the distance from the lights increased, and induced a gradient of flowering times along each row/plot. Spikes of each genotype were tagged when they flowered. Late-sown crops received more heat shocks during early and/or mid-grainfilling than earlier sowings, and suffered significant yield losses. Significant genotypic differences in heat tolerance ranking were observed between PEM versus conventional plot screening. Individual grain weight of the tested wheat genotypes was strongy correlated in the PEM plots experiencing a similar degree of heat, but the correlation was either poor or negative in conventional plot trials. With PEM, we successfully quantified the impact post-flowering heat on individual grain weight of wheat genotypes with the heat events occurring precisely at a specific developmental stage. The PEM results produced robust field based rankings of genotypes for heat tolerance within trials experiencing similar heat events. This method promises to improve the efficiency of heat tolerance field screening, particularly when comparing genotypes of different maturity types.

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Section: Impact Of Post-flowering Heat Events On Individual Grain Weight and Yieldsupporting

confidence: 92%

A robust field-based method to screen heat tolerance in wheat

Ullah

Christopher

Frederiks³

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Wheat ( Triticum aestivum L.) is the staple food for over 2.5 billion people, and accounts for 17% of the calories and 20% of human protein intake ( Gerard et al, 2020 ). Wheat is also a main source of micronutrients in predominantly vegetarian populations lacking food diversity in many developing countries ( Braun et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

Identification of Genetic Loci and Candidate Genes Related to Grain Zinc and Iron Concentration Using a Zinc-Enriched Wheat ‘Zinc-Shakti’

et al. 2021

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The development of nutritionally enhanced wheat (Triticum aestivum L.) with higher levels of grain iron (Fe) and zinc (Zn) offers a sustainable solution to micronutrient deficiency among resource-poor wheat consumers. One hundred and ninety recombinant inbred lines (RILs) from ‘Kachu’ × ‘Zinc-Shakti’ cross were phenotyped for grain Fe and Zn concentrations and phenological and agronomically important traits at Ciudad Obregon, Mexico in the 2017–2018, 2018–2019, and 2019–2020 growing seasons and Diversity Arrays Technology (DArT) molecular marker data were used to determine genomic regions controlling grain micronutrients and agronomic traits. We identified seven new pleiotropic quantitative trait loci (QTL) for grain Zn and Fe on chromosomes 1B, 1D, 2B, 6A, and 7D. The stable pleiotropic QTL identified have expanded the diversity of QTL that could be used in breeding for wheat biofortification. Nine RILs with the best combination of pleiotropic QTL for Zn and Fe have been identified to be used in future crossing programs and to be screened in elite yield trials before releasing as biofortified varieties. In silico analysis revealed several candidate genes underlying QTL, including those belonging to the families of the transporters and kinases known to transport small peptides and minerals (thus assisting mineral uptake) and catalyzing phosphorylation processes, respectively.

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“…The Green Revolution in the 1960s and 1970s that produced the semi‐dwarf cultivars (Conway, 1997) reduced the leverage on the stem base and anchorage system in wheat ( Triticum aestivum L.) plants, thereby increasing the lodging resistance (Berry et al., 2004). Since then wheat yields have increased in breeding programs worldwide (Crespo‐Herrera et al., 2017; Fischer et al., 2014; Foulkes et al., 2009; Gerard et al., 2020; Lopes et al., 2012; Tadesse et al., 2019), either with no further change in plant height (Berry et al., 2015) or with increased plant height (Aisawi et al., 2015), and this has contributed to increased shoot and plant leverage. Therefore, reducing lodging in wheat remains an important strategy to maintain high yields and grain quality, especially in high‐yielding environments.…”

Section: Introductionmentioning

confidence: 99%

Identifying quantitative trait loci for lodging‐associated traits in the wheat doubled‐haploid population Avalon × Cadenza

et al. 2021

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Lodging affects grain quality and grain yield in wheat (Triticum aestivum L.) and is difficult to breed for because its sporadic incidence and laborious protocols to measure lodging traits. Thus, developing molecular markers for these traits can increase selection efficiency in breeding programs. The aim of this article is to identify quantitative trait loci (QTL) associated with stem/anchorage strength and leverage traits (lodging traits) in a doubled-haploid population of UK bread wheat Avalon × Cadenza. Field experiments were conducted in the UK during 2012-2013 near High Mowthorpe and during 2013-2014 at Sutton Bonington. Phenotypic and genetic analysis indicated significant genetic variation for all traits. Stem strength (diameter, wall width, and material strength) and leverage (plant height) traits were highly heritable (0.64-0.95), whereas anchorage strength traits (root plate spread and structural rooting depth) and ear number per plant (leverage trait) were less heritable (0.21-0.33). This study identified 18 QTL for lodging traits and grain yield in chromosomes 1D, 2B, 2D, 3A, 3B, 4A, 4D, 5B, and 6B. Two QTL for stem strength on chromosome 1D and 3B explaining 49.6% of the total phenotypic variation (PVE) are estimated to reduce stem lodging risk and shortening the plant height by 12 cm. One QTL for root plate spread on chromosome 5B explaining 22.4% of the PVE could increase root lodging resistance.

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Grain yield genetic gains and changes in physiological related traits for CIMMYT’s High Rainfall Wheat Screening Nursery tested across international environments

Cited by 40 publications

References 28 publications

A robust field-based method to screen heat tolerance in wheat

A robust field-based method to screen heat tolerance in wheat

Identification of Genetic Loci and Candidate Genes Related to Grain Zinc and Iron Concentration Using a Zinc-Enriched Wheat ‘Zinc-Shakti’

Identifying quantitative trait loci for lodging‐associated traits in the wheat doubled‐haploid population Avalon × Cadenza

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