Molecular dissection of the genetic relationships of source, sink and transport tissue with yield traits in rice

Cui, Kehui; Peng, Shaobing; Xing, Yongzhong; Yu, S. B.; Xu, Caiguo; Zhang, Q

doi:10.1007/s00122-002-1113-z

Cited by 122 publications

(84 citation statements)

References 28 publications

(33 reference statements)

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“…Chlorophyll content also showed negative correlation with single plant yield under stress, which might be because, the source-sink relationship was affected due to reduced internal plant water status under water stress. The large sink size and efficient transport of assimilates from leaves to stems into developing spikelets were reported to determine grain yield in rice (Cui et al 2003).…”

Section: Discussionmentioning

confidence: 99%

Trait identification and QTL validation for reproductive stage drought resistance in rice using selective genotyping of near flowering RILs

et al. 2008

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Drought resistance is becoming an indispensable character for rice improvement due to the dwindling global water resources. Genetic improvement for drought resistance is achieved through physiological dissection and genetic analysis of independent component traits associated with crop productivity under stress. A subset mapping population of 93 near flowering recombinant inbred lines with uniform phenology was constituted for genetic analysis of reproductive stage drought resistance. The population was phenotyped for 22 physio-morphological traits under two contrasting water regimes imposed at reproductive stage. Broad sense heritabilities of morphological traits were lower under stress than irrigated. Predominant association of plant height, panicle exsertion and harvest index with grain yield were observed under stress. The sustenance of panicle exsertion through maintaining growth during moisture stress was found as a significant trait associated with the grain yield through minimizing spikelet sterility. Selective genotyping was carried out with 23 polymorphic microsatellite markers of the established target genomic regions for drought resistance. The study validated the association of a QTL region on the long arm of chromosome 1 with plant height, panicle length, panicle exsertion, biological yield and stomatal conductance under stress. This region, flanked by markers RM246 and RM315, was known to possess the semi-dwarf gene, sd-1. Role of another major interval lying between RM256 and RM149 on chromosome 8 in defining the drought resistance could be established through identification of QTLs associated with leaf rolling, panicle exsertion, plant height, panicle length, senescence and biological yield under moisture stress condition. Few other QTLs were also identified.

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Section: Discussionmentioning

confidence: 99%

Trait identification and QTL validation for reproductive stage drought resistance in rice using selective genotyping of near flowering RILs

et al. 2008

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“…The physiological processes involved in this regard are still unknown. The large sink size and efficient transport of assimilates from leaves and stems into developing spikelets were reported to determine grain yield in rice (Cui et al, 2003). This finding by Cui may be tested and evaluated under drought stress to assess the genetic relationship of the traits under stress.…”

Section: Coincidence Of Qtl For Grain Yield and Its Componentsmentioning

confidence: 99%

Quantitative Trait Loci Associated with Drought Tolerance at Reproductive Stage in Rice

et al. 2004

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Drought is a major constraint to rice (Oryza sativa) yield and its stability in rainfed and poorly irrigated environments. Identifying genomic regions influencing the response of yield and its components to water deficits will aid in our understanding of the genetics of drought tolerance and development of more drought tolerant cultivars. Quantitative trait loci (QTL) for grain yield and its components and other agronomic traits were identified using a subset of 154 doubled haploid lines derived from a cross between two rice cultivars, CT9993-510 to 1-M and IR62266-42 to 6-2. Drought stress treatments were managed by use of a line source sprinkler irrigation system, which provided a linearly decreasing level of irrigation coinciding with the sensitive reproductive growth stages. The research was conducted at the Ubon Rice Research Center, Ubon, Thailand. A total of 77 QTL were identified for grain yield and its components under varying levels of water stress. Out of the total of 77 QTL, the number of QTL per trait were: 7-grain yield (GY); 8-biological yield (BY); 6-harvest index (HI); 5-d to flowering after initiation of irrigation gradient (DFAIG); 10-total spikelet number (TSN); 7-percent spikelet sterility (PSS); 23-panicle number (PN); and 11-plant height (PH). The phenotypic variation explained by individual QTL ranged from 7.5% to 55.7%. Under wellwatered conditions, we observed a high genetic association for BY, HI, DFAIG, PSS, TSN, PH, and GY. However, only BY and HI were found to be significantly associated with GY under drought treatments. QTL flanked by markers RG104 to RM231, EMP2_2 to RM127, and G2132 to RZ598 on chromosomes 3, 4, and 8 were associated with GY, HI, DFAIG, BY, PSS, and PN under drought treatments. The aggregate effects of these QTL on chromosomes 3, 4, and 8 resulted in higher grain yield. These QTL will be useful for rainfed rice improvement, and will also contribute to our understanding of the genetic control of GY under drought conditions at the sensitive reproductive stage. Close linkage or pleiotropy may be responsible for the coincidence of QTL detected in this experiment. Digenic interactions between QTL main effects for GY, BY, HI, and PSS were observed under irrigation treatments. Most (but not all) DH lines have the same response in measure of productivity when the intensity of water deficit was increased, but no QTL by irrigation treatment interaction was detected. The identification of genomic regions associated with GY and its components under drought stress will be useful for marker-based approaches to improve GY and its stability for farmers in drought-prone rice environments.In rainfed lowland areas, one of the major abiotic constraints depressing rice (Oryza sativa) production is water stress, including deficit (drought) or excess water (flood; O' Toole and Chang, 1979;Herdt, 1991;Lin and Shen, 1993). Drought stress is a serious limiting factor to rice production and yield stability in rainfed rice areas (Dey and Upadhyaya, 1996). The occurrence of drought can be as...

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“…The panicle neck, which connects the culm and the panicle, reflects the conversion from vegetative growth to a reproductive stage. It plays an important role in high yield and better grain filling in rice through the efficient transport of water and nutrients from the leaves and stems (Cui et al, 2003). The diameter of the panicle neck is strongly correlated with the total sink capacity and grain weight, which are affected by the conductive tissue together with the source strength (Sasahara et al, 1999;Liu et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Analysis of QTLs for panicle exsertion and its relationship with yield and yield-related traits in rice (Oryza sativa L.)

Zhao¹,

Chen²,

QingYong³

et al. 2016

Genet. Mol. Res.

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ABSTRACT. Panicle exsertion (PE) is an important morphological trait that is closely associated with spikelet fertility and grain yield. To understand the genetic basis of PE and its relationships with yield and yield-related traits, a recombinant inbred population consisting of 240 lines derived from a cross between an Indica cultivar 'Kasalath' and a Japonica germplasm 'TD70', was studied over two years. PE was significantly correlated with plant height, heading date (HD), panicle length (PL), and panicle characteristics such as primary branch number, spikelet number per panicle, and spikelet density, but showed poor correlation with yield components. Based on linkage mapping of 141 SSR markers, a total of 38 quantitative trait loci (QTLs) were located for 12 investigated traits, with the contribution varying from 6.51 to 8.61%. Among these, four QTL clusters were identified on chromosomes 1, 2, 3, and 6, suggesting the existence of pleiotropic alleles. In some intervals, two loci for PE were collocated with several traits, which is consistent with the correlations observed with phenotypic variations. The PE QTLs with 'Kasalath' alleles and without pleiotropic effects would be valuable for the improvement of PE in 'TD70' and in other rice varieties.

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Molecular dissection of the genetic relationships of source, sink and transport tissue with yield traits in rice

Cited by 122 publications

References 28 publications

Trait identification and QTL validation for reproductive stage drought resistance in rice using selective genotyping of near flowering RILs

Trait identification and QTL validation for reproductive stage drought resistance in rice using selective genotyping of near flowering RILs

Quantitative Trait Loci Associated with Drought Tolerance at Reproductive Stage in Rice

Analysis of QTLs for panicle exsertion and its relationship with yield and yield-related traits in rice (Oryza sativa L.)

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