Genetic, Physiological, and Gene Expression Analyses Reveal That Multiple QTL Enhance Yield of Rice Mega-Variety IR64 under Drought
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{"title"=>"Genetic, Physiological, and Gene Expression Analyses Reveal That Multiple QTL Enhance Yield of Rice Mega-Variety IR64 under Drought", "type"=>"journal", "authors"=>[{"first_name"=>"Mallikarjuna", "last_name"=>"Swamy B. P.", "scopus_author_id"=>"55986641600"}, {"first_name"=>"Helal Uddin", "last_name"=>"Ahmed", "scopus_author_id"=>"55415649300"}, {"first_name"=>"Amelia", "last_name"=>"Henry", "scopus_author_id"=>"12778723400"}, {"first_name"=>"Ramil", "last_name"=>"Mauleon", "scopus_author_id"=>"23477379800"}, {"first_name"=>"Shalabh", "last_name"=>"Dixit", "scopus_author_id"=>"34976565600"}, {"first_name"=>"Prashant", "last_name"=>"Vikram", "scopus_author_id"=>"46861603400"}, {"first_name"=>"Ram", "last_name"=>"Tilatto", "scopus_author_id"=>"55682371700"}, {"first_name"=>"Satish B.", "last_name"=>"Verulkar", "scopus_author_id"=>"23989414900"}, {"first_name"=>"Puvvada", "last_name"=>"Perraju", "scopus_author_id"=>"36178417900"}, {"first_name"=>"Nimai P.", "last_name"=>"Mandal", "scopus_author_id"=>"57198421624"}, {"first_name"=>"Mukund", "last_name"=>"Variar", "scopus_author_id"=>"6506097904"}, {"first_name"=>"Robin", "last_name"=>"S.", "scopus_author_id"=>"55681148700"}, {"first_name"=>"Ranganath", "last_name"=>"Chandrababu", "scopus_author_id"=>"36545625100"}, {"first_name"=>"Onkar N.", "last_name"=>"Singh", "scopus_author_id"=>"55932087400"}, {"first_name"=>"Jawaharlal L.", "last_name"=>"Dwivedi", "scopus_author_id"=>"36997887200"}, {"first_name"=>"Sankar Prasad", "last_name"=>"Das", "scopus_author_id"=>"36470098400"}, {"first_name"=>"Krishna K.", "last_name"=>"Mishra", "scopus_author_id"=>"55604203500"}, {"first_name"=>"Ram B.", "last_name"=>"Yadaw", "scopus_author_id"=>"53985820300"}, {"first_name"=>"Tamal Lata", "last_name"=>"Aditya", "scopus_author_id"=>"6504372287"}, {"first_name"=>"Biswajit", "last_name"=>"Karmakar", "scopus_author_id"=>"55681883600"}, {"first_name"=>"Kouji", "last_name"=>"Satoh", "scopus_author_id"=>"7403151166"}, {"first_name"=>"Ali", "last_name"=>"Moumeni", "scopus_author_id"=>"21739694300"}, {"first_name"=>"Shoshi", "last_name"=>"Kikuchi", "scopus_author_id"=>"7403005321"}, {"first_name"=>"Hei", "last_name"=>"Leung", "scopus_author_id"=>"7202811520"}, {"first_name"=>"Arvind", "last_name"=>"Kumar", "scopus_author_id"=>"56848305600"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"368876187", "sgr"=>"84877307931", "issn"=>"19326203", "pmid"=>"23667521", "scopus"=>"2-s2.0-84877307931", "doi"=>"10.1371/journal.pone.0062795", "isbn"=>"1932-6203"}, "id"=>"3fe44cdd-955c-31b8-99cb-d636df151077", "abstract"=>"BACKGROUND: Rice (Oryza sativa L.) is a highly drought sensitive crop, and most semi dwarf rice varieties suffer severe yield losses from reproductive stage drought stress. The genetic complexity of drought tolerance has deterred the identification of agronomically relevant quantitative trait loci (QTL) that can be deployed to improve rice yield under drought in rice. Convergent evidence from physiological characterization, genetic mapping, and multi-location field evaluation was used to address this challenge.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: Two pairs of backcross inbred lines (BILs) from a cross between drought-tolerant donor Aday Sel and high-yielding but drought-susceptible rice variety IR64 were produced. From six BC4F3 mapping populations produced by crossing the +QTL BILs with the -QTL BILs and IR64, four major-effect QTL--one each on chromosomes 2, 4, 9, and 10--were identified. Meta-analysis of transcriptome data from the +QTL/-QTL BILs identified differentially expressed genes (DEGs) significantly associated with QTL on chromosomes 2, 4, 9, and 10. Physiological characterization of BILs showed increased water uptake ability under drought. The enrichment of DEGs associated with root traits points to differential regulation of root development and function as contributing to drought tolerance in these BILs. BC4F3-derived lines with the QTL conferred yield advantages of 528 to 1875 kg ha⁻¹ over IR64 under reproductive-stage drought stress in the targeted ecosystems of South Asia.\\n\\nCONCLUSIONS/SIGNIFICANCE: Given the importance of rice in daily food consumption and the popularity of IR64, the BC4F3 lines with multiple QTL could provide higher livelihood security to farmers in drought-prone environments. Candidate genes were shortlisted for further characterization to confirm their role in drought tolerance. Differential yield advantages of different combinations of the four QTL reported here indicate that future research should include optimizing QTL combinations in different genetic backgrounds to maximize yield advantage under drought.", "link"=>"http://www.mendeley.com/research/genetic-physiological-gene-expression-analyses-reveal-multiple-qtl-enhance-yield-rice-megavariety-ir-2", "reader_count"=>95, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Researcher"=>25, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>31, "Student > Postgraduate"=>6, "Student > Master"=>10, "Other"=>4, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Researcher"=>25, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>31, "Student > Postgraduate"=>6, "Student > Master"=>10, "Other"=>4, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Environmental Science"=>4, "Biochemistry, Genetics and Molecular Biology"=>6, "Agricultural and Biological Sciences"=>72, "Medicine and Dentistry"=>2, "Business, Management and Accounting"=>2, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Social Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>72}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>6}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>4}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"Benin"=>1, "United States"=>1, "Sri Lanka"=>1, "Philippines"=>3, "Brazil"=>1}, "group_count"=>6}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1056756"], "description"=>"<p>Values shown are means ± s.e. No significant differences were observed among genotypes at any depth sampled.</p>", "links"=>[], "tags"=>["Agricultural biotechnology", "Marker-assisted selection", "crops", "cereals", "rice", "genetics", "Heredity", "Quantitative traits", "gene expression", "genomics", "Genome analysis tools", "Genetic maps", "transcriptomes", "ir64", "depths", "drought", "sampled", "4-cm", "diameter", "corer", "placed", "mid-way", "hills", "adjacent"], "article_id"=>700160, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Mallikarjuna Swamy B. P.", "Helal Uddin Ahmed", "Amelia Henry", "Ramil Mauleon", "Shalabh Dixit", "Prashant Vikram", "Ram Tilatto", "Satish B. Verulkar", "Puvvada Perraju", "Nimai P. Mandal", "Mukund Variar", "Robin S.", "Ranganath Chandrababu", "Onkar N. Singh", "Jawaharlal L. Dwivedi", "Sankar Prasad Das", "Krishna K. Mishra", "Ram B. Yadaw", "Tamal Lata Aditya", "Biswajit Karmakar", "Kouji Satoh", "Ali Moumeni", "Shoshi Kikuchi", "Hei Leung", "Arvind Kumar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0062795.t002", "stats"=>{"downloads"=>1, "page_views"=>37, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Root_length_density_of_QTL_lines_8722_QTL_lines_and_IR64_at_different_depths_in_field_drought_studies_as_sampled_with_a_4_cm_diameter_corer_tube_placed_mid_way_between_hills_of_adjacent_rows_/700160", "title"=>"Root length density of +QTL lines, −QTL lines, and IR64 at different depths in field drought studies, as sampled with a 4-cm diameter corer tube placed mid-way between hills of adjacent rows.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-05-08 00:02:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1056757"], "description"=>"<p>The allelic source for all QTL was Aday Sel. LOD, Logarithm of odds ratios; R<sup>2</sup>, Phenotypic variance; Additive effect, grain yield (kg ha<sup>−1</sup>) additive effect over the population mean presented in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0062795#pone.0062795.s004\" target=\"_blank\">Table S1</a>.</p>", "links"=>[], "tags"=>["Agricultural biotechnology", "Marker-assisted selection", "crops", "cereals", "rice", "genetics", "Heredity", "Quantitative traits", "gene expression", "genomics", "Genome analysis tools", "Genetic maps", "transcriptomes", "drought", "sel", "derived"], "article_id"=>700161, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Mallikarjuna Swamy B. P.", "Helal Uddin Ahmed", "Amelia Henry", "Ramil Mauleon", "Shalabh Dixit", "Prashant Vikram", "Ram Tilatto", "Satish B. Verulkar", "Puvvada Perraju", "Nimai P. Mandal", "Mukund Variar", "Robin S.", "Ranganath Chandrababu", "Onkar N. Singh", "Jawaharlal L. Dwivedi", "Sankar Prasad Das", "Krishna K. Mishra", "Ram B. Yadaw", "Tamal Lata Aditya", "Biswajit Karmakar", "Kouji Satoh", "Ali Moumeni", "Shoshi Kikuchi", "Hei Leung", "Arvind Kumar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0062795.t001", "stats"=>{"downloads"=>3, "page_views"=>33, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_QTL_for_grain_yield_under_drought_in_IR64_215_Aday_Sel_derived_populations_/700161", "title"=>"QTL for grain yield under drought in IR64<b>×</b>Aday Sel derived populations.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-05-08 00:02:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1056758"], "description"=>"<p>Yield of QTL-introgressed IR64 lines in the target ecosystem in Bangladesh, Nepal, and India.</p>", "links"=>[], "tags"=>["Agricultural biotechnology", "Marker-assisted selection", "crops", "cereals", "rice", "genetics", "Heredity", "Quantitative traits", "gene expression", "genomics", "Genome analysis tools", "Genetic maps", "transcriptomes", "qtl-introgressed", "ir64", "lines"], "article_id"=>700162, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Mallikarjuna Swamy B. P.", "Helal Uddin Ahmed", "Amelia Henry", "Ramil Mauleon", "Shalabh Dixit", "Prashant Vikram", "Ram Tilatto", "Satish B. Verulkar", "Puvvada Perraju", "Nimai P. Mandal", "Mukund Variar", "Robin S.", "Ranganath Chandrababu", "Onkar N. Singh", "Jawaharlal L. Dwivedi", "Sankar Prasad Das", "Krishna K. Mishra", "Ram B. Yadaw", "Tamal Lata Aditya", "Biswajit Karmakar", "Kouji Satoh", "Ali Moumeni", "Shoshi Kikuchi", "Hei Leung", "Arvind Kumar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0062795.t006", "stats"=>{"downloads"=>1, "page_views"=>31, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Yield_of_QTL_introgressed_IR64_lines_in_the_target_ecosystem_in_Bangladesh_Nepal_and_India_/700162", "title"=>"Yield of QTL-introgressed IR64 lines in the target ecosystem in Bangladesh, Nepal, and India.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-05-08 00:02:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/1056759"], "description"=>"<p>DTF, Days to 50% flowering; PH, Plant height; GY, Grain yield; Bio, Straw biomass at harvest; S, Stress; NS, Non-stress; AC, Amylose content; GT, Gelatinization temperature (I, intermediate; L, low); MP, Milling potential; CS, Chalkiness score; GS, Genetic similarity.</p>", "links"=>[], "tags"=>["Agricultural biotechnology", "Marker-assisted selection", "crops", "cereals", "rice", "genetics", "Heredity", "Quantitative traits", "gene expression", "genomics", "Genome analysis tools", "Genetic maps", "transcriptomes", "ir64", "qtl-introgressed", "lines"], "article_id"=>700163, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Mallikarjuna Swamy B. P.", "Helal Uddin Ahmed", "Amelia Henry", "Ramil Mauleon", "Shalabh Dixit", "Prashant Vikram", "Ram Tilatto", "Satish B. Verulkar", "Puvvada Perraju", "Nimai P. Mandal", "Mukund Variar", "Robin S.", "Ranganath Chandrababu", "Onkar N. Singh", "Jawaharlal L. Dwivedi", "Sankar Prasad Das", "Krishna K. Mishra", "Ram B. Yadaw", "Tamal Lata Aditya", "Biswajit Karmakar", "Kouji Satoh", "Ali Moumeni", "Shoshi Kikuchi", "Hei Leung", "Arvind Kumar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0062795.t005", "stats"=>{"downloads"=>7, "page_views"=>62, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Yield_and_quality_traits_of_IR64_QTL_introgressed_lines_at_IRRI_/700163", "title"=>"Yield and quality traits of IR64 QTL-introgressed lines at IRRI.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-05-08 00:02:43"}
  • {"files"=>["https://ndownloader.figshare.com/files/1056760"], "description"=>"<p>Enriched GO-SLIM and Mapman pathways from the differentially expressed genes associated with drought-yield QTL.</p>", "links"=>[], "tags"=>["Agricultural biotechnology", "Marker-assisted selection", "crops", "cereals", "rice", "genetics", "Heredity", "Quantitative traits", "gene expression", "genomics", "Genome analysis tools", "Genetic maps", "transcriptomes", "go-slim", "mapman", "pathways", "differentially", "genes", "drought-yield"], "article_id"=>700164, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Mallikarjuna Swamy B. P.", "Helal Uddin Ahmed", "Amelia Henry", "Ramil Mauleon", "Shalabh Dixit", "Prashant Vikram", "Ram Tilatto", "Satish B. Verulkar", "Puvvada Perraju", "Nimai P. Mandal", "Mukund Variar", "Robin S.", "Ranganath Chandrababu", "Onkar N. Singh", "Jawaharlal L. Dwivedi", "Sankar Prasad Das", "Krishna K. Mishra", "Ram B. Yadaw", "Tamal Lata Aditya", "Biswajit Karmakar", "Kouji Satoh", "Ali Moumeni", "Shoshi Kikuchi", "Hei Leung", "Arvind Kumar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0062795.t004", "stats"=>{"downloads"=>10, "page_views"=>58, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Enriched_GO_SLIM_and_Mapman_pathways_from_the_differentially_expressed_genes_associated_with_drought_yield_QTL_/700164", "title"=>"Enriched GO-SLIM and Mapman pathways from the differentially expressed genes associated with drought-yield QTL.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-05-08 00:02:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/1056763", "https://ndownloader.figshare.com/files/1056766", "https://ndownloader.figshare.com/files/1056771", "https://ndownloader.figshare.com/files/1056775", "https://ndownloader.figshare.com/files/1056778", "https://ndownloader.figshare.com/files/1056781", "https://ndownloader.figshare.com/files/1056783", "https://ndownloader.figshare.com/files/1056785", "https://ndownloader.figshare.com/files/1056787", "https://ndownloader.figshare.com/files/1056788", "https://ndownloader.figshare.com/files/1056789", "https://ndownloader.figshare.com/files/1056791"], "description"=>"<div><p>Background</p><p>Rice (<i>Oryza sativa</i> L.) is a highly drought sensitive crop, and most semi dwarf rice varieties suffer severe yield losses from reproductive stage drought stress. The genetic complexity of drought tolerance has deterred the identification of agronomically relevant quantitative trait loci (QTL) that can be deployed to improve rice yield under drought in rice. Convergent evidence from physiological characterization, genetic mapping, and multi-location field evaluation was used to address this challenge.</p><p>Methodology/Principal Findings</p><p>Two pairs of backcross inbred lines (BILs) from a cross between drought-tolerant donor Aday Sel and high-yielding but drought-susceptible rice variety IR64 were produced. From six BC<sub>4</sub>F<sub>3</sub> mapping populations produced by crossing the +QTL BILs with the −QTL BILs and IR64, four major-effect QTL - one each on chromosomes 2, 4, 9, and 10 - were identified. Meta-analysis of transcriptome data from the +QTL/−QTL BILs identified differentially expressed genes (DEGs) significantly associated with QTL on chromosomes 2, 4, 9, and 10. Physiological characterization of BILs showed increased water uptake ability under drought. The enrichment of DEGs associated with root traits points to differential regulation of root development and function as contributing to drought tolerance in these BILs. BC<sub>4</sub>F<sub>3</sub>-derived lines with the QTL conferred yield advantages of 528 to 1875 kg ha<sup>−1</sup> over IR64 under reproductive-stage drought stress in the targeted ecosystems of South Asia.</p><p>Conclusions/Significance</p><p>Given the importance of rice in daily food consumption and the popularity of IR64, the BC<sub>4</sub>F<sub>3</sub> lines with multiple QTL could provide higher livelihood security to farmers in drought-prone environments. Candidate genes were shortlisted for further characterization to confirm their role in drought tolerance. Differential yield advantages of different combinations of the four QTL reported here indicate that future research should include optimizing QTL combinations in different genetic backgrounds to maximize yield advantage under drought.</p></div>", "links"=>[], "tags"=>["Agricultural biotechnology", "Marker-assisted selection", "crops", "cereals", "rice", "genetics", "Heredity", "Quantitative traits", "gene expression", "genomics", "Genome analysis tools", "Genetic maps", "transcriptomes", "qtl", "mega-variety", "ir64"], "article_id"=>700167, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Mallikarjuna Swamy B. P.", "Helal Uddin Ahmed", "Amelia Henry", "Ramil Mauleon", "Shalabh Dixit", "Prashant Vikram", "Ram Tilatto", "Satish B. Verulkar", "Puvvada Perraju", "Nimai P. Mandal", "Mukund Variar", "Robin S.", "Ranganath Chandrababu", "Onkar N. Singh", "Jawaharlal L. Dwivedi", "Sankar Prasad Das", "Krishna K. Mishra", "Ram B. Yadaw", "Tamal Lata Aditya", "Biswajit Karmakar", "Kouji Satoh", "Ali Moumeni", "Shoshi Kikuchi", "Hei Leung", "Arvind Kumar"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0062795.s001", "https://dx.doi.org/10.1371/journal.pone.0062795.s002", "https://dx.doi.org/10.1371/journal.pone.0062795.s003", "https://dx.doi.org/10.1371/journal.pone.0062795.s004", "https://dx.doi.org/10.1371/journal.pone.0062795.s005", "https://dx.doi.org/10.1371/journal.pone.0062795.s006", "https://dx.doi.org/10.1371/journal.pone.0062795.s007", "https://dx.doi.org/10.1371/journal.pone.0062795.s008", "https://dx.doi.org/10.1371/journal.pone.0062795.s009", "https://dx.doi.org/10.1371/journal.pone.0062795.s010", "https://dx.doi.org/10.1371/journal.pone.0062795.s011", "https://dx.doi.org/10.1371/journal.pone.0062795.s012"], "stats"=>{"downloads"=>138, "page_views"=>24, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Genetic_Physiological_and_Gene_Expression_Analyses_Reveal_That_Multiple_QTL_Enhance_Yield_of_Rice_Mega_Variety_IR64_under_Drought_/700167", "title"=>"Genetic, Physiological, and Gene Expression Analyses Reveal That Multiple QTL Enhance Yield of Rice Mega-Variety IR64 under Drought", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-05-08 00:02:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/1056751"], "description"=>"<p>Significant differences among lines are indicated by *(p<0.05) and **(p<0.01). D. Infrared thermal image showing contrasting canopy temperatures of +QTL and –QTL lines, taken 98 days after sowing (DAS) in 2010DS-ROS.</p>", "links"=>[], "tags"=>["Agricultural biotechnology", "Marker-assisted selection", "crops", "cereals", "rice", "genetics", "Heredity", "Quantitative traits", "gene expression", "genomics", "Genome analysis tools", "Genetic maps", "transcriptomes", "2010ds", "mid-day", "days", "infrared", "stomatal", "conductance"], "article_id"=>700155, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Mallikarjuna Swamy B. P.", "Helal Uddin Ahmed", "Amelia Henry", "Ramil Mauleon", "Shalabh Dixit", "Prashant Vikram", "Ram Tilatto", "Satish B. Verulkar", "Puvvada Perraju", "Nimai P. Mandal", "Mukund Variar", "Robin S.", "Ranganath Chandrababu", "Onkar N. Singh", "Jawaharlal L. Dwivedi", "Sankar Prasad Das", "Krishna K. Mishra", "Ram B. Yadaw", "Tamal Lata Aditya", "Biswajit Karmakar", "Kouji Satoh", "Ali Moumeni", "Shoshi Kikuchi", "Hei Leung", "Arvind Kumar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0062795.g001", "stats"=>{"downloads"=>5, "page_views"=>251, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Canopy_temperature_dynamics_over_the_A_2010DS_and_B_2010DS_ROS_as_measured_mid_day_on_sunny_days_with_an_infrared_camera_and_C_stomatal_conductance_during_the_2010DS_ROS_/700155", "title"=>"Canopy temperature dynamics over the A. 2010DS and B. 2010DS-ROS, as measured mid-day on sunny days with an infrared camera, and C. stomatal conductance during the 2010DS-ROS.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-05-08 00:02:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/1056753"], "description"=>"<p>Arrows indicate dates that the experiment was re-watered. No significant differences were observed between lines within a BIL pair on any sampling date.</p>", "links"=>[], "tags"=>["Agricultural biotechnology", "Marker-assisted selection", "crops", "cereals", "rice", "genetics", "Heredity", "Quantitative traits", "gene expression", "genomics", "Genome analysis tools", "Genetic maps", "transcriptomes", "studies", "destructive", "sampling", "2009ws", "2010ds", "ndvi"], "article_id"=>700157, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Mallikarjuna Swamy B. P.", "Helal Uddin Ahmed", "Amelia Henry", "Ramil Mauleon", "Shalabh Dixit", "Prashant Vikram", "Ram Tilatto", "Satish B. Verulkar", "Puvvada Perraju", "Nimai P. Mandal", "Mukund Variar", "Robin S.", "Ranganath Chandrababu", "Onkar N. Singh", "Jawaharlal L. Dwivedi", "Sankar Prasad Das", "Krishna K. Mishra", "Ram B. Yadaw", "Tamal Lata Aditya", "Biswajit Karmakar", "Kouji Satoh", "Ali Moumeni", "Shoshi Kikuchi", "Hei Leung", "Arvind Kumar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0062795.g002", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Shoot_growth_dynamics_in_field_studies_as_measured_by_destructive_sampling_in_2009WS_and_2010DS_seasons_and_by_NDVI_in_2010DS_ROS_/700157", "title"=>"Shoot growth dynamics in field studies as measured by destructive sampling in 2009WS and 2010DS seasons, and by NDVI in 2010DS-ROS.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-05-08 00:02:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/1056755"], "description"=>"<p>DEG, differentially expressed genes; *DTY 10.1 resolves to two adjacent regions when physically mapped to the Nipponbare reference genome.</p>", "links"=>[], "tags"=>["Agricultural biotechnology", "Marker-assisted selection", "crops", "cereals", "rice", "genetics", "Heredity", "Quantitative traits", "gene expression", "genomics", "Genome analysis tools", "Genetic maps", "transcriptomes", "differentially", "genes", "lines", "drought"], "article_id"=>700159, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Mallikarjuna Swamy B. P.", "Helal Uddin Ahmed", "Amelia Henry", "Ramil Mauleon", "Shalabh Dixit", "Prashant Vikram", "Ram Tilatto", "Satish B. Verulkar", "Puvvada Perraju", "Nimai P. Mandal", "Mukund Variar", "Robin S.", "Ranganath Chandrababu", "Onkar N. Singh", "Jawaharlal L. Dwivedi", "Sankar Prasad Das", "Krishna K. Mishra", "Ram B. Yadaw", "Tamal Lata Aditya", "Biswajit Karmakar", "Kouji Satoh", "Ali Moumeni", "Shoshi Kikuchi", "Hei Leung", "Arvind Kumar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0062795.t003", "stats"=>{"downloads"=>4, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Number_of_differentially_expressed_genes_in_QTL_and_8211_QTL_lines_under_two_drought_stress_conditions_/700159", "title"=>"Number of differentially expressed genes in +QTL and –QTL lines under two drought stress conditions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-05-08 00:02:39"}

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Relative Metric

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