Literature DB >> 11756283

Effects of Phenotyping Environment on Identification of Quantitative Trait Loci for Rice Root Morphology under Anaerobic Conditions.

A. Kamoshita1, Jingxian Zhang, J. Siopongco, S. Sarkarung, H. T. Nguyen, L. J. Wade.   

Abstract

In the rainfed lowlands, rice (Oryza sativa L.) develops roots under anaerobic soil conditions with ponded water, prior to exposure to aerobic soil conditions and water stress. Constitutive root system development in anaerobic soil conditions has been reported to have a positive effect on subsequent expression of adaptive root traits and water extraction during water stress. We examined effects of phenotyping environment on identification of quantitative trait loci (QTLs) for constitutive root morphology traits using 220 doubled-haploid lines (DHLs) from the cross of 'CT9993-5-10-1-M' (CT9993; japonica, upland adapted) x 'IR62266-42-6-2' (IR62266; indica, lowland adapted) in four greenhouse experiments. Broad sense heritability (h(2)) was 75, 60, and 64% on average for shoot biomass, deep root morphology, and root thickness traits, respectively. Quantitative trait loci analysis identified 18 genomic regions associated with deep root morphology traits, but only three were identified consistently across experiments. Three out of a total of eight QTLs for root thickness traits were found in more than one experiment. The maximum genetic effects caused by a single QTL were increments of 0.05 g of deep root mass below a 30-cm soil depth, 0.9% of deep root ratio, 1.6 cm of rooting depth, and 0.09 cm of root thickness, with phenotypic variation explained by a single QTL ranging from 6.8 to 51.8%. The results demonstrate the importance of phenotyping environment and suggest prospects for selection of QTLs for deep root morphology, root thickness, and vigorous seedling growth under anaerobic conditions to improve the constitutive root system of rainfed lowland rice. There was some consistency in QTL regions identified, despite the presence of QTL x environment interactions.

Entities:  

Year:  2002        PMID: 11756283     DOI: 10.2135/cropsci2002.2550

Source DB:  PubMed          Journal:  Crop Sci        ISSN: 0011-183X            Impact factor:   2.319


  20 in total

1.  Characterization of a rice variety with high hydraulic conductance and identification of the chromosome region responsible using chromosome segment substitution lines.

Authors:  Shunsuke Adachi; Yukiko Tsuru; Motohiko Kondo; Toshio Yamamoto; Yumiko Arai-Sanoh; Tsuyu Ando; Taiichiro Ookawa; Masahiro Yano; Tadashi Hirasawa
Journal:  Ann Bot       Date:  2010-09-01       Impact factor: 4.357

2.  Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety.

Authors:  K A Steele; A H Price; H E Shashidhar; J R Witcombe
Journal:  Theor Appl Genet       Date:  2005-10-06       Impact factor: 5.699

3.  Assessing the importance of genotype x environment interaction for root traits in rice using a mapping population. I: a soil-filled box screen.

Authors:  K MacMillan; K Emrich; H-P Piepho; C E Mullins; A H Price
Journal:  Theor Appl Genet       Date:  2006-07-28       Impact factor: 5.699

4.  Assessing the importance of genotype x environment interaction for root traits in rice using a mapping population II: conventional QTL analysis.

Authors:  K MacMillan; K Emrich; H-P Piepho; C E Mullins; A H Price
Journal:  Theor Appl Genet       Date:  2006-07-29       Impact factor: 5.699

5.  Drought tolerance genes in rice.

Authors:  Huazong Zeng; Yang Zhong; Lijun Luo
Journal:  Funct Integr Genomics       Date:  2006-03-22       Impact factor: 3.410

6.  Inheritance and QTL mapping of related root traits in soybean at the seedling stage.

Authors:  Huizhen Liang; Yongliang Yu; Hongqi Yang; Lanjie Xu; Wei Dong; Hua Du; Weiwen Cui; Haiyang Zhang
Journal:  Theor Appl Genet       Date:  2014-08-22       Impact factor: 5.699

7.  QTL mapping of root traits in a doubled haploid population from a cross between upland and lowland japonica rice in three environments.

Authors:  Zichao Li; Ping Mu; Chunping Li; Hongliang Zhang; Zhikang Li; Yongming Gao; Xiangkun Wang
Journal:  Theor Appl Genet       Date:  2005-03-12       Impact factor: 5.699

8.  Grain yield responses to moisture regimes in a rice population: association among traits and genetic markers.

Authors:  G H Zou; H W Mei; H Y Liu; G L Liu; S P Hu; X Q Yu; M S Li; J H Wu; L J Luo
Journal:  Theor Appl Genet       Date:  2005-10-18       Impact factor: 5.699

9.  Identification and characterization of large-effect quantitative trait loci for grain yield under lowland drought stress in rice using bulk-segregant analysis.

Authors:  Ramaiah Venuprasad; C O Dalid; M Del Valle; D Zhao; M Espiritu; M T Sta Cruz; M Amante; A Kumar; G N Atlin
Journal:  Theor Appl Genet       Date:  2009-10-17       Impact factor: 5.699

10.  Aerobic rice genotypes displayed greater adaptation to water-limited cultivation and tolerance to polyethyleneglycol-6000 induced stress.

Authors:  Nitika Sandhu; Sunita Jain; K R Battan; R K Jain
Journal:  Physiol Mol Biol Plants       Date:  2011-12-10
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