Transpiration Response of Maize Hybrids to Atmospheric Vapour Pressure Deficit

Gholipoor, M.; Choudhary, Sunita; Sinclair, Thomas R.; Messina, Carlos D.; Cooper, Mark

doi:10.1111/jac.12010

Cited by 98 publications

(92 citation statements)

References 19 publications

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“…Manipulating ABA metabolism, signaling, and the regulation of the pathway provides an opportunity to not only enhance the plants' response to drought stress by increasing its sensitivity and amplifying its magnitude but also modulate the plant's water economy. By preventing excessive transpiration and maintaining close to normal photosynthesis under well-watered conditions, plants can decrease water removal from the soil so that soil water is conserved and available during periods of stress (Gholipoor et al, 2013;Messina et al, 2015). We show that such a trait (Fig.…”

Section: Maize Drought Tolerance Improvement Via Overexpression Of Zmmentioning

confidence: 71%

Overexpression of RING Domain E3 Ligase ZmXerico1 Confers Drought Tolerance through Regulation of ABA Homeostasis

Brugière

Zhang

et al. 2017

Plant Physiol.

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Drought stress is one of the main environmental problems encountered by crop growers. Reduction in arable land area and reduced water availability make it paramount to identify and develop strategies to allow crops to be more resilient in waterlimiting environments. The plant hormone abscisic acid (ABA) plays an important role in the plants' response to drought stress through its control of stomatal aperture and water transpiration, and transgenic modulation of ABA levels therefore represents an attractive avenue to improve the drought tolerance of crops. Several steps in the ABA-signaling pathway are controlled by ubiquitination involving really interesting new genes (RING) domain-containing proteins. We characterized the maize (Zea mays) RING protein family and identified two novel RING-H2 genes called ZmXerico1 and ZmXerico2. Expression of ZmXerico genes is induced by drought stress, and we show that overexpression of ZmXerico1 and ZmXerico2 in Arabidopsis and maize confers ABA hypersensitivity and improved water use efficiency, which can lead to enhanced maize yield performance in a controlled drought-stress environment. Overexpression of ZmXerico1 and ZmXerico2 in maize results in increased ABA levels and decreased levels of ABA degradation products diphaseic acid and phaseic acid. We show that ZmXerico1 is localized in the endoplasmic reticulum, where ABA 89-hydroxylases have been shown to be localized, and that it functions as an E3 ubiquitin ligase. We demonstrate that ZmXerico1 plays a role in the control of ABA homeostasis through regulation of ABA 89-hydroxylase protein stability, representing a novel control point in the regulation of the ABA pathway.

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Section: Maize Drought Tolerance Improvement Via Overexpression Of Zmmentioning

confidence: 71%

Overexpression of RING Domain E3 Ligase ZmXerico1 Confers Drought Tolerance through Regulation of ABA Homeostasis

Brugière

Zhang

et al. 2017

Plant Physiol.

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“…All information used to define the prior parameters was based on published information for maize. For the VPDB trait, the results reported by Gholipoor et al (2013) were used. For TUS, the prior parameters were determined based on a combination of published information indicating a TUS interval of 3 d ) and field observations indicating synchronous termination of leaf expansion and commencement of shedding for drought tolerant hybrids.…”

Section: Approximate Bayesian Computationmentioning

confidence: 99%

Use of Crop Growth Models with Whole‐Genome Prediction: Application to a Maize Multienvironment Trial

et al. 2016

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High throughput genotyping, phenotyping, and envirotyping applied within plant breeding multienvironment trials (METs) provide the data foundations for selection and tackling genotype × environment interactions (GEIs) through whole‐genome prediction (WGP). Crop growth models (CGM) can be used to enable predictions for yield and other traits for different genotypes and environments within a MET if genetic variation for the influential traits and their responses to environmental variation can be incorporated into the CGM framework. Furthermore, such CGMs can be integrated with WGP to enable whole‐genome prediction with crop growth models (CGM‐WGP) through use of computational methods such as approximate Bayesian computation. We previously used simulated data sets to demonstrate proof of concept for application of the CGM‐WGP methodology to plant breeding METs. Here the CGM‐WGP methodology is applied to an empirical maize (Zea mays L.) drought MET data set to evaluate the steps involved in reduction to practice. Positive prediction accuracy was achieved for hybrid grain yield in two drought environments for a sample of doubled haploids (DHs) from a cross. This was achieved by including genetic variation for five component traits into the CGM to enable the CGM‐WGP methodology. The five component traits were a priori considered to be important for yield variation among the maize hybrids in the two target drought environments included in the MET. Here, we discuss lessons learned while applying the CGM‐WGP methodology to the empirical data set. We also identify areas for further research to improve prediction accuracy and to advance the CGM‐WGP for a broader range of situations relevant to plant breeding.

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“…Considerable evidence has confirmed that the limitedtranspiration trait, assessed under well-watered conditions, is expressed in selected genotypes of several crop species, including soybean [12,20,40,45,60], peanut (Arachis hypogaea L.) [3,47], sorghum [19,24,39,48], chickpea (Cicer arietinum L.) [68], pearl millet [22], cowpea (Vigna unguiculata L.) [1], maize (Zea mays L.) [18,67], and wheat [38,44]. With regard to lentil, no information is available to date on diversity among lentil genotypes in the transpiration response to vapor pressure deficit (VPD).…”

Section: Partial Stomatal Closure Under High Atmospheric Vapor Pressumentioning

confidence: 99%

Opportunities to improve the seasonal dynamics of water use in lentil (Lens culinaris Medik.) to enhance yield increase in water-limited environments

Ghanem¹,

Kibbou²,

Guiguitant

et al. 2017

Chem. Biol. Technol. Agric.

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Lentil (Lens culinaris Medikus) is one of the most important annual food legumes that plays an important role in the food and nutritional security of millions in the world. Lentil is mainly grown under rainfed environments, where drought is one of the most challenging abiotic stresses that negatively impacts lentil production in the arid and semi-arid areas. Therefore, development of drought-adapted cultivars is one of the major objectives of national and international lentil breeding programs. The goal of this review is to provide a report on the current status of traits of lentil that might result in yield increases in water-limited environments and identify opportunities for research on other traits. Lately, traits that are either related to developmental plasticity and/or altered rooting and shoot characteristics have received considerable attention in the efforts to increase lentil yield in water-limited environments. However, two traits that have recently been proven to be especially useful in other legumes are still missing in lentil drought research: early partial stomatal closure under soil drying, and limited-transpiration under high atmospheric vapor pressure deficit. This review provides suggestions for further exploitation of these two soil-water-conservation traits in lentil.

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Transpiration Response of Maize Hybrids to Atmospheric Vapour Pressure Deficit

Cited by 98 publications

References 19 publications

Overexpression of RING Domain E3 Ligase ZmXerico1 Confers Drought Tolerance through Regulation of ABA Homeostasis

Overexpression of RING Domain E3 Ligase ZmXerico1 Confers Drought Tolerance through Regulation of ABA Homeostasis

Use of Crop Growth Models with Whole‐Genome Prediction: Application to a Maize Multienvironment Trial

Opportunities to improve the seasonal dynamics of water use in lentil (Lens culinaris Medik.) to enhance yield increase in water-limited environments

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