Stay-green traits to improve wheat adaptation in well-watered and water-limited environments

Christopher, Jack; Christopher, Mandy; Borrell, Andrew; Fletcher, S.; Chenu, Karine

doi:10.1093/jxb/erw276

Cited by 163 publications

(149 citation statements)

References 57 publications

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“…These platforms all rely on imaging technologies such as RGB and infra‐red, mentioned previously, as well as hyperspectral imaging, which is particularly popular for in‐field imaging. Hyperspectral imaging uses wavelengths across the electromagnetic spectrum to generate indices such as normalized difference vegetative index to measure canopy coverage (Christopher et al ., ), as well as to calculate models for specific biochemical and physiological traits (Silva‐Perez et al ., ). Hyperspectral imaging can also be used to detect and classify disease and stress symptoms; however, collecting appropriate data and developing analysis pipeline can be a challenge within commercial breeding programmes (Lowe et al ., ).…”

Section: Developments In Phenotypingmentioning

confidence: 99%

Applying the latest advances in genomics and phenomics for trait discovery in polyploid wheat

2018

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Summary Improving traits in wheat has historically been challenging due to its large and polyploid genome, limited genetic diversity and in‐field phenotyping constraints. However, within recent years many of these barriers have been lowered. The availability of a chromosome‐level assembly of the wheat genome now facilitates a step‐change in wheat genetics and provides a common platform for resources, including variation data, gene expression data and genetic markers. The development of sequenced mutant populations and gene‐editing techniques now enables the rapid assessment of gene function in wheat directly. The ability to alter gene function in a targeted manner will unmask the effects of homoeolog redundancy and allow the hidden potential of this polyploid genome to be discovered. New techniques to identify and exploit the genetic diversity within wheat wild relatives now enable wheat breeders to take advantage of these additional sources of variation to address challenges facing food production. Finally, advances in phenomics have unlocked rapid screening of populations for many traits of interest both in greenhouses and in the field. Looking forwards, integrating diverse data types, including genomic, epigenetic and phenomics data, will take advantage of big data approaches including machine learning to understand trait biology in wheat in unprecedented detail.

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Section: Developments In Phenotypingmentioning

confidence: 99%

Applying the latest advances in genomics and phenomics for trait discovery in polyploid wheat

2018

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“…The green leaf area in the post-anthesis period sustains carbon assimilation and contributes to grain-filling [55]. However, the leaf greenness reflects both functional (underlying photosynthetic capacity) and non-functional (cosmetic) characteristics [56], although these two characteristics are seldom phenotyped separately. Nevertheless, leaf greenness contributes significantly to grain yield, when associated with photosynthetic capacity and remobilization of stem reserve to grains [57].…”

Section: Biparental Interval Mapping For Physiological Traitsmentioning

confidence: 99%

QTL Analysis for Drought Tolerance in Wheat: Present Status and Future Possibilities

2017

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Abstract:In recent years, with climate change, drought stress has been witnessed in many parts of the world. In many irrigated regions also, shortage of water supply allows only limited irrigation. These conditions have an adverse effect on the productivity of many crops including cereals such as wheat. Therefore, genetics of drought/water stress tolerance in different crops has become a priority area of research. This research mainly involves use of quantitative trait locus (QTL) analysis (involving both interval mapping and association mapping) for traits that are related to water-use efficiency. In this article, we briefly review the available literature on QTL analyses in wheat for traits, which respond to drought/water stress. The outlook for future research in this area and the possible approaches for utilizing the available information on genetics of drought tolerance for wheat breeding are also discussed.

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“…Water availability is a key limiting factor in crop production in north-eastern Australia. Genotypes with improved adaption and/or improved ability to explore below-ground resources could potentially improve productivity of sodic soils [46,47]. Further investigation would seem warranted to understand the physiological mechanisms and possible influence of root architecture on cereal tolerance to sodicity.…”

Section: Concentrations Of Ca In Wheat and K:na Ratio In Barley May Bmentioning

confidence: 99%

Genetic Diversity in Barley and Wheat for Tolerance to Soil Constraints

2016

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Surface soil sodicity as well as subsoil salinity, acidity, and phytotoxic concentrations of chloride (Cl) are major soil constraints to crop production in many soils of sub-tropical, north-eastern Australia. The identification of genotypes tolerant to these soil constraints may be an option to maintain and improve productivity on these soils. We evaluated performance of 11 barley and 17 wheat genotypes grown on two sites <0.5 km apart. Compared to the non-sodic site, the sodic site had significantly higher Cl concentration (>800 mg·Cl·kg −1 ) in the subsoil (0.9-1.3 m soil depth) and higher exchangeable sodium percentage (ESP) (>6%) in the surface and subsoil. Barley grain yield and plant available water capacity (PAWC) were reduced between 5%-25% and 40%-66%, respectively, for different genotypes at the sodic site as compared to the non-sodic site. For wheat genotypes, grain yield was between 8% and 33% lower at the sodic site compared to the non-sodic site and PAWC was between 3% and 37% lower. Most barley and wheat genotypes grown at the sodic site showed calcium (Ca) deficiency symptoms on younger leaves. Analysis of the youngest fully mature leaf (YML) confirmed that genotypes grown at the sodic site with Ca concentration < 0.2% exhibited deficiency symptoms. Grain yields of both barley and wheat genotypes grown on the sodic and non-sodic sites increased significantly with increasing Ca and K in YML and decreased significantly with increasing Na and Cl concentrations in YML. Sodium (Na) concentrations in YML of wheat genotypes grown at the sodic site were 10-fold higher than those from the non-sodic site whereas this increase was only two-fold in barley genotypes. In step-wise regression, the PAWC of barley and wheat genotypes grown on sodic and non-sodic sites was the principal determinant of variability of barley and wheat grain yield. Including the Ca concentration in the YML of wheat genotypes and K:Na ratio in the YML of barley genotypes significantly improved the prediction of grain yield in the regression analysis. Barley genotypes, Mackay and Kaputar, were relatively susceptible while Baronesse and Grout were relatively more tolerant to sodicity. Wheat genotypes Gregory and Stampede were generally relatively more susceptible to sodicity, and genotypes Baxter, Hume, and the experimental line HSF1-255 were relatively more tolerant than the former group.

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Stay-green traits to improve wheat adaptation in well-watered and water-limited environments

Abstract: HighlightCombining stay-green traits and environmental water-stress characterization, both standardized relative to anthesis, provides a powerful method to characterize and select for adaptation to well-watered and water-stressed environments.

Cited by 163 publications

References 57 publications

Applying the latest advances in genomics and phenomics for trait discovery in polyploid wheat

Applying the latest advances in genomics and phenomics for trait discovery in polyploid wheat

QTL Analysis for Drought Tolerance in Wheat: Present Status and Future Possibilities

Genetic Diversity in Barley and Wheat for Tolerance to Soil Constraints

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