QTLs linked to leaf epicuticular wax, physio-morphological and plant production traits under drought stress in rice (Oryza sativa L.)

Srinivasan, S.; Gomez, S. Michael; Kumar, Sundeep; Ganesh, S.; Biji, K. R.; Senthil, A.; Babu, R. Chandra

doi:10.1007/s10725-008-9304-5

Cited by 34 publications

(22 citation statements)

References 38 publications

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“…Significant negative correlations were noticed between water stress indicators such as leaf rolling and leaf drying with biomass under stress. Negative correlations of water stress indicators with biomass and positive correlations of plant production traits with biomass have been reported in rice (Babu et al 2003;Michael Gomez et al 2006;Srinivasan et al 2008). …”

Section: Relationship Between Water Stress Indicators and Biomass Undmentioning

confidence: 95%

Molecular mapping and location of QTLs for drought-resistance traits in indica rice (Oryza sativa L.) lines adapted to target environments

et al. 2009

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Drought is a major limitation for rice production in rainfed ecosystems. Identifying quantitative trait loci (QTLs) linked to drought resistance provides opportunity to breed high yielding rice varieties suitable for drought-prone areas. Although considerable efforts were made in mapping QTLs associated with drought-resistance traits in rice, most of the studies involved indica 9 japonica crosses and hence, the drought-resistance alleles were contributed mostly by japonica ecotypes. It is desirable to look for genetic variation within indica ecotypes adapted to target environment (TE) as the alleles from japonica ecotype may not be expressed under lowland conditions. A subset of 250 recombinant inbred lines (RILs) of F 8 generation derived from two indica rice lines (IR20 and Nootripathu) with contrasting drought-resistance traits were used to map the QTLs for morpho-physiological and plant production traits under drought stress in the field in TE. A genetic linkage map was constructed using 101 polymorphic PCR-based markers distributed over the 12 chromosomes covering a total length of 1,529 cM in 17 linkage groups with an average distance of 15.1 cM. Composite interval mapping analysis identified 22 QTLs, which individually explained 4.8-32.2% of the phenotypic variation. Consistent QTLs for drought-resistance traits were detected using locally adapted indica ecotypes, which may be useful for rainfed rice improvement.

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Section: Relationship Between Water Stress Indicators and Biomass Undmentioning

confidence: 95%

Molecular mapping and location of QTLs for drought-resistance traits in indica rice (Oryza sativa L.) lines adapted to target environments

et al. 2009

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“…Genotypic analysis of drought resistance has long been studied, using different mapping populations, and a series of putative drought resistance traits have been investigated (Kamoshita et al, 2008). Quantitative trait loci (QTL) have been reported for many drought resistance traits, including primary traits such as root thickness (MacMillan et al, 2006), root penetration index, and root pulling force (Zhang et al, 2001); secondary traits such as leaf rolling, leaf drying, osmotic adjustment, phenology Srinivasan et al, 2008), and grain yield; and reproductive traits (Bernier et al, 2009b;Ghimire et al, 2012;Sellamuthu et al, 2011;Suji et al, 2012;Venuprasad et al, 2002;Vikram et al, 2011;Wang et al, 2013;Yadaw et al, 2013). However, efforts to dissect drought resistance genetically, by identification and characterization of QTL, and transferring them into cultivars with high-yielding genetic backgrounds through plant breeding have so far had limited success (Bernier et al, 2009a;Serraj et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Mapping QTLs for Reproductive‐Stage Drought Resistance Traits using an Advanced Backcross Population in Upland Rice

2015

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The reproductive stage of development is the most drought sensitive, and water deficits at that time can lead to a drastic yield reduction in rice (Oryza sativa L.). Understanding the genetic and physiological bases of yield and yield components under reproductive‐stage drought stress will help in the development of resilient cultivars. A population of backcross inbred lines derived from upland cultivars Apo and Moroberekan was used for mapping quantitative trait loci (QTLs) associated with grain yield and other yield‐related traits under reproductive stage drought stress and irrigated (nonstress) conditions in the field. Reproductive traits affect grain yield directly and indirectly in both irrigated and drought conditions. Days to flowering, spikelet fertility, pollen fertility, and panicle exsertion are important traits affecting grain yield under reproductive stage drought. Therefore QTLs associated with grain yield or these reproductive traits that have direct or indirect effect on grain yield are likely to be useful in improving yield under drought. A total of 45 genomic regions were identified for traits observed under reproductive stage drought stress and control conditions. The yield QTL (qYLD4.2) on chromosome 4 colocates with number of spikelets per panicle, number of filled grains per panicle, and number of secondary rachis per panicle. The QTLs qYLD4.1, qYLD6.3, and qYLD12 are other important QTLs identified in this study. Those QTLs with either direct or pleiotropic effects could be used as candidates in marker‐assisted breeding for drought resistance improvement in rice.

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“…Published results of [21] detected four QTLs for leaf drying one each in chromosome 1, 3, 3 and 11, respectively. Mapping results of [24] also suggests that qld 1.1 located on chromosome 1 controls the leaf drying under drought stress. Thus, the current finding of leaf drying in our experiment may be a new QTL found within the marker interval of RM316-RM257, on chromosome 9 with LOD value 27.85, PVE (%) 80.18 and additive effect of −1.81 controlling leaf drying under drought stress and designated as qLD 9.1 .…”

Section: Discussionmentioning

confidence: 99%

“…A QTL designated as qhi 1.1 , expressed only under extreme drought situation was reported on chromosome 1 [20]. A QTL with 65.6% phenotypic variance for harvest index under stress was detected on chromosome 2 [24]. As per their reports, the QTLs for epicuticular wax, harvest index, and water loss rate from processed cut leaves under stress were detected to be co-located with QTLs related to root and shoot related drought tolerance characters in particular rice progenies and might be functional for rain-fed rice development.…”

Section: Discussionmentioning

confidence: 99%

“…Earlier mapping work of [36] indicated that the marker interval R2417-RM212-C813 on chromosome 1 was associated with RWC under field drought condition. A QTL, qrwc 11.1 in chromosome 11 in between marker interval of RM254-RG1465 reported for controlling the RWC in rice [24]. [3] reported the physiological response of relative water content affecting grain yield in qtl 12.1 under drought condition.…”

Section: Discussionmentioning

confidence: 99%

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Genetic Mapping Of Morpho-Physiological Traits Involved During Reproductive Stage Drought Tolerance In Rice

Barik

Pandit

Mohanty

et al. 2019

Preprint

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13Reproductive stage drought stress is an important factor for yield reduction in rice. Genetic 14 mapping of drought responsive QTLs will help to develop cultivars suitable for drought 15 prone environments through marker-assisted breeding. QTLs linked to morpho-physiological 16 traits under drought stress were mapped by evaluating 190 F 7 recombinant inbred lines (RIL). 17Significant variations were observed for eleven morpho-physiological traits involved during 18 the stress. Bulked segregant analysis (BSA) strategy was adopted for genotyping the RIL 19 population. A total of 401 SSR primers were tested for parental polymorphism of which 77 20 were polymorphic. Inclusive composite interval mapping detected a total of five consistent 21 QTLs controlling leaf rolling (qLR 9.1 ), leaf drying (qLD 9.1 ), harvest index (qHI 9.1 ), spikelet 22 fertility (qSF 9.1 ) and relative water content (qRWC 9.1 ) under reproductive stage drought stress. 23 Another two non-allelic QTLs controlling leaf rolling (qLR 8.1 ) and leaf drying (qLD 12.1 ) were 24 linked in a single year. QTL controlling leaf rolling, qLR8.1 was validated in this mapping 25 population and useful in marker-assisted breeding (MAB) programs. Out of these five 26 consistent QTLs, four (qLR 9.1, qLD 9.1, qHI 9.1 and qRWC 9.1 ) were detected to be novel QTLs 27 and useful for MAB for reproductive stage drought tolerance in rice. 28 29 drought tolerance, QTL mapping, 30 31 34Majority of the global population consume rice as their staple food. Rice provides food and 35 livelihood security to 90% of people in Asia and South-east Asia. Globally, rice crop covers 36 about 160.8 million hectares with total production of more than 725.5 million tons of paddy 37 per annum [1]. The targeted food production need to be increased even from the drought-38 prone areas with an increase of 40% from this difficult ecosystem by 2025 [2]. Drought is the 39 major limitation in getting higher production from rainfed rice cultivation [3]. It affects the 40 crop at vegetative and reproductive growth stages. Under water stress, genotype showing 41 delay in leaf rolling and faster recovery from the stress are required for drought breeding [4]. 42During vegetative stage, leaf rolling and leaf drying are good criteria of screening drought 43 tolerance [5][6][7]. Drought stress during reproductive stage is most critical as it causes low yield 44 due to higher proportion of unfilled grains in the panicles [7,[9][10][11][12]. 45Drought is the major abiotic stress responsible for cultivation of rice mostly in rain-46 fed upland and lowland areas, worldwide. In Asia, about 34 million hectares of rain-fed 47 lowland and 8 million hectare of upland rice are affected by frequent drought stress in each 48 year. In India also, during the recent years, climate change is altering the rainfall pattern 49 affecting rice production to a greater extent. Although rice production is increasing by 2.8% 50 annually, damage caused by biotic and abiotic factors accounted for a heavy loss of glo...

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QTLs linked to leaf epicuticular wax, physio-morphological and plant production traits under drought stress in rice (Oryza sativa L.)

Cited by 34 publications

References 38 publications

Molecular mapping and location of QTLs for drought-resistance traits in indica rice (Oryza sativa L.) lines adapted to target environments

Molecular mapping and location of QTLs for drought-resistance traits in indica rice (Oryza sativa L.) lines adapted to target environments

Mapping QTLs for Reproductive‐Stage Drought Resistance Traits using an Advanced Backcross Population in Upland Rice

Genetic Mapping Of Morpho-Physiological Traits Involved During Reproductive Stage Drought Tolerance In Rice

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