Stay-green quantitative trait loci's effects on water extraction, transpiration efficiency and seed yield depend on recipient parent background

Vadez, Vincent; Deshpande, Santosh; Kholová, Jana; Hammer, Graeme; Borrell, Andrew; Talwar, H. S.; Hash, C. T.

doi:10.1071/fp11073

Cited by 121 publications

(123 citation statements)

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“…This possibility was then approached through an alteration of the kl coefficient in APSIM, which determines the soil water extraction rate (Robertson et al 1993;Meinke et al 1993). The differences in soil water extraction dynamics for various soil water levels were re-analysed from earlier data (Vadez et al 2011) and different types of water use dynamic patterns were found among R16 ILs and S35 ILs. In R16 ILs, the total amount of water extracted from lysimeters differed little; however, there was variation in the dynamic of water extraction following irrigation withdrawal, suggesting variability in root hydraulics in ILs in the R16 background ( Fig.…”

Section: Observed Variability In Soil Water Extraction Ratesmentioning

confidence: 99%

“…Two senescent recurrent parental lines (R16, S35) were introgressed with six individual stay-green QTLs (from the donor parent B35; the development of ILs has been described in Kassahun et al 2010 andVadez et al 2011).These ILs were used to explore the variation in several mechanisms involved in the plant water budget, and were expected to eventually lead to yield improvement under water stress and stay-green phenotype expression, which was further tested with the crop model (see below). Both of the senescent recipient lines as well as the staygreen QTL donor parent are considered to be limited-tillering materials.…”

Section: Plant Materialsmentioning

confidence: 99%

“…Introgressing stay-green QTLs into two senescent parental lines (R16, S35) from the staygreen donor B35 produced lines showing differences in several traits related to the plant water budget (e.g. transpiration efficiency (TE), water extraction, leaf area) (Vadez et al 2011). Here, we test the effect of several possible mechanisms affecting the plant water budget on stay-green expression, and grain and stover yield.…”

Section: Introductionmentioning

confidence: 99%

“…Aside from 'cosmetic' stay-green (retention of nonfunctional chlorophyll; see reviews (e.g. Thomas and Howarth 2000;Cha et al 2002)), there are basically two parallel streams of hypotheses explaining the maintenance of green leaves under water stress, one of which deals with the enhanced use of available N (Rajcan and Tollenaar 1999;Borrell and Hammer 2000;Borrell et al 2001;Bertheloot et al 2008;van Oosterom et al 2010b) and another one favouring an improved plant water use status Vadez et al 2011Vadez et al , 2014. Several quantitative trait loci (QTLs) contributing to stay-green phenotype expression under drought (Stages 1-4, Stages A and B) have been validated across different research groups (Tuinstra et al 1996(Tuinstra et al , 1997(Tuinstra et al , 1998Crasta et al 1999;Subudhi et al 2000;Tao et al 2000;Xu et al 2000;Kebede et al 2001;Sanchez et al 2002;Haussmann et al 2002;Hash et al 2003;Harris et al 2007).…”

Section: Introductionmentioning

confidence: 99%

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Modelling the effect of plant water use traits on yield and stay-green expression in sorghum

Kholová

Murugesan

Kaliamoorthy

et al. 2014

Functional Plant Biol.

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Abstract. Post-rainy sorghum (Sorghum bicolor (L.) Moench) production underpins the livelihood of millions in the semiarid tropics, where the crop is affected by drought. Drought scenarios have been classified and quantified using crop simulation. In this report, variation in traits that hypothetically contribute to drought adaptation (plant growth dynamics, canopy and root water conducting capacity, drought stress responses) were virtually introgressed into the most common post-rainy sorghum genotype, and the influence of these traits on plant growth, development, and grain and stover yield were simulated across different scenarios. Limited transpiration rates under high vapour pressure deficit had the highest positive effect on production, especially combined with enhanced water extraction capacity at the root level. Variability in leaf development (smaller canopy size, later plant vigour or increased leaf appearance rate) also increased grain yield under severe drought, although it caused a stover yield trade-off under milder stress. Although the leaf development response to soil drying varied, this trait had only a modest benefit on crop production across all stress scenarios. Closer dissection of the model outputs showed that under water limitation, grain yield was largely determined by the amount of water availability after anthesis, and this relationship became closer with stress severity. All traits investigated increased water availability after anthesis and caused a delay in leaf senescence and led to a 'stay-green' phenotype. In conclusion, we showed that breeding success remained highly probabilistic; maximum resilience and economic benefits depended on drought frequency. Maximum potential could be explored by specific combinations of traits.

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Section: Observed Variability In Soil Water Extraction Ratesmentioning

confidence: 99%

Section: Plant Materialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling the effect of plant water use traits on yield and stay-green expression in sorghum

Kholová

Murugesan

Kaliamoorthy

et al. 2014

Functional Plant Biol.

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“…Indeed, genotypic differences in the response of transpiration rates to soil drying have been reported for pearl millet (Kholová et al 2010a). However, G×E interactions for TE are often not significant, as observed for rice (Haefele et al, 2009) and sorghum (Mortlock and Hammer, 1999;Vadez et al, 2011a). Condon et al (1990) reported a significant (P<0.01) positive correlation between TE in well watered and drought stressed conditions.…”

Section: Discussionmentioning

confidence: 99%

The physiological basis of genetic improvement in maize (Zea mays L.) yield in the US Corn Belt

Ponce¹

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Maize, along with rice and wheat, provides the foundation of human food supply. Ecological intensification of maize cropping systems and accelerated genetic improvement of maize yield will be necessary to satisfy an increasing demand from rapid population growth (Cassman 1999).Understanding of the physiological basis underpinning genetic improvement of maize can inform breeding efforts and improve tailoring of maize hybrids to intensified cropping systems.Maize yields in the US Corn Belt have increased at a rate of 1% a year for over 70+ years. A series of field studies using the so-called ERA hybrid set (Duvick et al. 2004a), which represent commercially successful hybrid releases over that period, demonstrated that yield improvement resulted from the interaction between genotype and plant population, and documented that yield advance was associated with increased leaf angle score and stay-green score, and decreases in anthesis-silking interval (ASI), tassel size scores, and barrenness. Changes in leaf angle scores and stay green scores have been implicated as determinants of increased radiation use efficiency and water capture (Hammer et al. 2009a;). Increased kernel number per unit area via reduced barrenness, shorter ASI, and reduced tassel size suggest that biomass allocation to the ear may have changed as the result of selection for yield in the ERA hybrids (Duvick et al. 2004a;Hammer et al. 2009a). Increased total biomass and increased partitioning to the kernels around silking and during early ear growth have been implicated as the major physiological determinants of the yield increase in short-season maize (Tollenaar et al. 2006a).We have a cursory understanding of the physiological drivers of yield improvement in temperate maize. This study provides empirical evidence to evaluate previously proposed hypotheses (i.e., water capture; Hammer et al. (2009a)) and deductions from field observations. This study utilizes a crop growth and development framework structured on concepts of resource capture, utilization efficiency and allocation to guide field experimentation. The experimental component of this study includes field experiments in managed stress environments located in USA and Chile during the growing seasons 2012 and 2011/2012 respectively, seeking to quantify genotypic differences in light and water capture, crop and ear growth, and resource allocation. Two seasons of experiments in 2012 utilizing the lysimeter and root chamber facilities located at UQ have been used to quantify genotypic differences in transpiration dynamics and efficiency, biomass allocation, and sensitivities to drought stress. Experimental work used a contrasting subset of single crosses from the ERA hybrids with seed available in Australia. All the experiments were planted at the highest plant density used in each location and platform.ii Measurement of soil water during two years of field experiments showed that total water capture under water-limited conditions did not differ between hybrids from another subset of t...

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Molecular Breeding for Stay‐Green: Progress and Challenges in Sorghum

Vadez¹,

Deshpande²,

Kholová³

et al. 2013

Translational Genomics for Crop Breeding

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The stay-green trait is regarded as the best characterized characteristic conferring drought adaptation in several crops including sorghum. Quantitative trait loci (QTLs) for stay-green have been identified using several bi-parental populations. Several of these QTLs are currently being used for introgression in a number of genetic backgrounds. Part of the challenge in the introgression of these QTLs lays in the limited polymorphism between donor and recurrent parents. As a consequence, certain QTL can't always be distinguished, such as Stg3 and StgB which are on the same chromosome, SBI-02. Current progress in marker technology is contributing to enhancing the marker coverage of QTL intervals and this would improve breeding efficiency. Despite the knowledge of genomic regions conferring the stay-green trait, it is surprising that knowledge of the physiological mechanisms explaining staygreen are still relatively unknown. Early explanations focused on a role of stay-green as maintaining photosynthetic activity. It has also been hypothesized that the stay-green trait relates to the plant nitrogen balance and in particular to the capacity to absorb nitrogen during the post-anthesis period. It is only relatively recently that water availability during the post-anthesis period, that is, when the staygreen phenotype expresses itself, has been proposed as a possible cause for the stay-green phenotype. However, the reasons that water is left for absorption are still unexplained and could be accounted for by either a deeper soil extraction depth or water saving traits operating at early stages. As the mechanisms responsible for stay-green become more evident and as DNA-sequencing technologies offer denser genome coverage, the likelihood is that the future of manipulating the stay-green trait will be about manipulating its physiological components.

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Stay-green quantitative trait loci's effects on water extraction, transpiration efficiency and seed yield depend on recipient parent background

Cited by 121 publications

References 35 publications

Modelling the effect of plant water use traits on yield and stay-green expression in sorghum

Modelling the effect of plant water use traits on yield and stay-green expression in sorghum

The physiological basis of genetic improvement in maize (Zea mays L.) yield in the US Corn Belt

Molecular Breeding for Stay‐Green: Progress and Challenges in Sorghum

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