Genetic analysis of rainfed lowland rice drought tolerance under naturally-occurring stress in eastern India: Heritability and QTL effects

Kumar, Rajesh; Venuprasad, R.; Atlin, G. N.

doi:10.1016/j.fcr.2007.04.013

Cited by 176 publications

(109 citation statements)

References 20 publications

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“…In many studies, the detection of QTL for yield and other traits rarely utilise more than a small number of trials or traits, e.g. 2 to 4 Kumar et al 2007;Rebetzke et al 2007), with arbitrary emphasis placed on QTL that are detected in two or more year-site combinations. Whilst this may be appropriate for detecting reliable QTL in highly heritable traits with minimal GEI, this approach is less optimal for complex traits with low heritability and large GEI.…”

Section: Introductionmentioning

confidence: 99%

Multi-environment QTL mixed models for drought stress adaptation in wheat

et al. 2008

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Many quantitative trait loci (QTL) detection methods ignore QTL-by-environment interaction (QEI) and are limited in accommodation of error and environment-specific variance. This paper outlines a mixed model approach using a recombinant inbred spring wheat population grown in six drought stress trials. Genotype estimates for yield, anthesis date and height were calculated using the best design and spatial effects model for each trial. Parsimonious factor analytic models best captured the variance-covariance structure, including genetic correlations, among environments. The 1RS.1BL rye chromosome translocation (from one parent) which decreased progeny yield by 13.8 g m -2 was explicitly included in the QTL model. Simple interval mapping (SIM) was used in a genome-wide scan for significant QTL, where QTL effects were fitted as fixed environmentspecific effects. All significant environment-specific QTL were subsequently included in a multi-QTL model and evaluated for main and QEI effects with non-significant QEI effects being dropped. QTL effects (either consistent or environment-specific) included eight yield, four anthesis, and six height QTL. One yield QTL co-located (or was linked) to an anthesis QTL, while another co-located with a height QTL. In the final multi-QTL model, only one QTL for yield (6 g m -2 ) was consistent across environments (no QEI), while the remaining QTL had significant QEI effects (average size per environment of 5.1 g m -2 ). Compared to single trial analyses, the described framework allowed explicit modelling and detection of QEI effects and incorporation of additional classification information about genotypes.

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Section: Introductionmentioning

confidence: 99%

Multi-environment QTL mixed models for drought stress adaptation in wheat

et al. 2008

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“…Recently, SUB1, a major QTL for submergence tolerance , has been introgressed into Swarna, Sambha Mahsuri, IR64, and BR11 mega-varieties (Septiningsih et al, 2009). In the case of drought, QTLs related to grain yield under drought stress have been reported on numerous occasions in rice (Babu et al, 2003;Lafi tte et al, 2004;Lanceras et al, 2004;Bernier et al, 2007;Kumar et al, 2007), but there have been no reports of the successful use of such QTLs in MAS . The lack of repeatability of QTL effects across different populations (QTL x genetic background interactions) and across environments (QTL x environment interactions) are the two factors limiting the use of QTLs for MAS by plant breeders (Price et al, 2002;Courtois et al, 2003;Lafi tte et al, 2004;.…”

Section: A Strategy For Improving Drought Resistancementioning

confidence: 99%

“…Bernier et al (2007) reported a QTL on chromosome 12 in a Vandana/Way Rarem population explaining about 51% of the genetic variance for yield under severe upland drought stress over two years. Kumar et al (2007) reported a major QTL for grain yield under lowland drought stress in a CT9993/ IR62266 population on chromosome 1 explaining 32% of the genetic variance for the trait over two years.…”

Section: Critical Research Issuesmentioning

confidence: 99%

“…When breeding systems are adapted to make best use of large-scale genotyping for both multiple target traits and the genetic background. The recent, identifi cation of major QTLs governing grain yield under drought (Bernier et al, 2007;Kumar et al, 2007;Venuprasad et al, 2009) has made possible the use of MAS for improving drought resistance.…”

Section: Critical Research Issuesmentioning

confidence: 99%

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Drought Resistance Improvement in Rice: An Integrated Genetic and Resource Management Strategy

Serraj

McNally

Slamet‐Loedin

et al. 2011

Plant Production Science

214

119

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Drought is the major constraint to rice production in rainfed areas across Asia and subSaharan Africa. In the context of current and predicted water scarcity, increasing irrigation is generally not a viable option for alleviating drought problems in rainfed rice-growing systems. It is therefore critical that genetic management strategies for drought focus on maximum extraction of available soil moisture and its effi cient use in crop establishment and growth to maximize biomass and yield. Extensive genetic variation for drought resistance exists in rice germplasm. However, the current challenge is to decipher the complexities of drought resistance in rice and exploit all available genetic resources to produce rice varieties combining drought adaptation with high yield potential, quality, and resistance to biotic stresses. The strategy described here aims at developing a pipeline for elite breeding lines and hybrids that can be integrated with efficient management practices and delivered to rice farmers. This involves the development of high-throughput, highprecision phenotyping systems to allow genes for yield components under stress to be effi ciently mapped and their effects assessed on a range of drought-related traits, and then moving the most promising genes into widely grown rice mega-varieties, while scaling up gene detection and delivery for use in marker-aided breeding.

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“…Selection of germplasm with reproductive drought-tolerance has been based on grain yield-related traits, with selection often being conducted under field conditions. Several QTL with widely varying contribution to the grain yield phenotype under drought conditions were identified in wheat and rice (Kato et al 2000;Lanceras et al 2004;Wang et al 2005;Bernier et al 2007;Kirigwi et al 2007;Kumar et al 2007;Venuprasad et al 2009). A major problem with drought tolerance selection is interference with avoidance/escape mechanisms (e.g.…”

Section: Manipulation Of Abiotic Stress Tolerance Using Transgenic Apmentioning

confidence: 99%

Yield stability for cereals in a changing climate

Powell

Ravash

et al. 2012

Functional Plant Biol.

133

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Abstract. The United Nations Food and Agriculture Organisation (FAO) forecasts a 34% increase in the world population by 2050. As a consequence, the productivity of important staple crops such as cereals needs to be boosted by an estimated 43%. This growth in cereal productivity will need to occur in a world with a changing climate, where more frequent weather extremes will impact on grain productivity. Improving cereal productivity will, therefore, not only be a matter of increasing yield potential of current germplasm, but also of improving yield stability through enhanced tolerance to abiotic stresses. Successful reproductive development in cereals is essential for grain productivity and environmental constraints (drought, cold, frost, heat and waterlogging) that are associated with climate change are likely to have severe effects on yield stability of cereal crops. Currently, genetic gains conferring improved abiotic stress tolerance in cereals is hampered by the lack of reliable screening methods, availability of suitable germplasm and poor knowledge about the physiological and molecular underpinnings of abiotic stress tolerance traits.

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Genetic analysis of rainfed lowland rice drought tolerance under naturally-occurring stress in eastern India: Heritability and QTL effects

Cited by 176 publications

References 20 publications

Multi-environment QTL mixed models for drought stress adaptation in wheat

Multi-environment QTL mixed models for drought stress adaptation in wheat

Drought Resistance Improvement in Rice: An Integrated Genetic and Resource Management Strategy

Yield stability for cereals in a changing climate

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