{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/99257"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/99257","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Characterizing natural genetic variation in photosynthetic efficiency across 44 accessions and five subpopulations of oryza sativa","abstract":"With an ever-growing human population and a finite amount of arable land, the ability to produce higher yields with fewer inputs has become increasingly imperative. Improving photosynthetic efficiency at the leaf level, especially leaf CO2 uptake (Asat) is an approach to not only bettering crop yields, but also optimizing water and nutrient use efficiency. As the world’s second most cultivated crop, improving photosynthesis in Oryza sativa would have positive implications for millions worldwide who are dependent on rice for their economic livelihoods and the majority of their dietary calories. In this study, 44 accessions representing all five rice subpopulations from the larger Rice Diversity Panel 1 (RDP1) were phenotyped for photosynthetic efficiency at the International Rice Research Institute (IRRI) in Los Baños, Philippines. Phenotyping of both physiological and biochemical traits allowed for an in depth understanding of overall photosynthetic activity at the genotype and subpopulation levels. This study found that there are significant differences for individual components of photosynthetic efficiency between the subpopulations of rice. Differences between subpopulations were found at the biochemical level for carboxylation efficiency, maximum rate of carboxylation (Vcmax) maximum electron transport rate (Jmax), and triose-phosphate use (TPU) limitations – among 25 other traits. For example, subpopulation tropical japonica had the highest values for both Vcmax and Jmax, and demonstrated 11.9% and 19% higher rates for both traits respectively when compared with the lowest performing subpopulations. These differences were more pronounced at the accession level when genotypes were compared against the control IR64, confirming a wealth of natural variation that might be exploited to improve photosynthetic efficiency in cultivated rice. Examining existing natural genetic variation allows superior genotypes and traits to be identified, aiding in targeted plant improvement through mapping in the future.","abstract_html":"With an ever-growing human population and a finite amount of arable land, the ability to produce higher yields with fewer inputs has become increasingly imperative. Improving photosynthetic efficiency at the leaf level, especially leaf CO2 uptake (Asat) is an approach to not only bettering crop yields, but also optimizing water and nutrient use efficiency. As the world’s second most cultivated crop, improving photosynthesis in Oryza sativa would have positive implications for millions worldwide who are dependent on rice for their economic livelihoods and the majority of their dietary calories. In this study, 44 accessions representing all five rice subpopulations from the larger Rice Diversity Panel 1 (RDP1) were phenotyped for photosynthetic efficiency at the International Rice Research Institute (IRRI) in Los Baños, Philippines. Phenotyping of both physiological and biochemical traits allowed for an in depth understanding of overall photosynthetic activity at the genotype and subpopulation levels. This study found that there are significant differences for individual components of photosynthetic efficiency between the subpopulations of rice. Differences between subpopulations were found at the biochemical level for carboxylation efficiency, maximum rate of carboxylation (Vcmax) maximum electron transport rate (Jmax), and triose-phosphate use (TPU) limitations – among 25 other traits. For example, subpopulation tropical japonica had the highest values for both Vcmax and Jmax, and demonstrated 11.9% and 19% higher rates for both traits respectively when compared with the lowest performing subpopulations. These differences were more pronounced at the accession level when genotypes were compared against the control IR64, confirming a wealth of natural variation that might be exploited to improve photosynthetic efficiency in cultivated rice. Examining existing natural genetic variation allows superior genotypes and traits to be identified, aiding in targeted plant improvement through mapping in the future.","abstract_has_math":false,"creators":["Acevedo-Siaca, Liana G."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Crop Sciences","degree_department":null,"school":null,"contributors":["Long, Stephen P."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-03-13T15:28:43Z","date_published":"2018-03-13T15:28:43Z","updated_at":"2026-07-22T22:24:37Z","subjects":["Photosynthesis","Plant physiology","Natural genetic variation","Rice","Rice subpopulations"],"languages":["en"],"rights":["Copyright 2017 Liana Acevedo-Siaca"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/99257","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Long, Stephen P."]},{"key":"dc:creator","label":"Author","values":["Acevedo-Siaca, Liana G."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-03-13T15:28:43Z","2020-03-14T09:15:31Z","2017-12-13","2017-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Crop Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Photosynthesis","Plant physiology","Natural genetic variation","Rice","Rice subpopulations"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Liana Acevedo-Siaca"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/99257"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["With an ever-growing human population and a finite amount of arable land, the ability to produce higher yields with fewer inputs has become increasingly imperative. Improving photosynthetic efficiency at the leaf level, especially leaf CO2 uptake (Asat) is an approach to not only bettering crop yields, but also optimizing water and nutrient use efficiency. As the world’s second most cultivated crop, improving photosynthesis in Oryza sativa would have positive implications for millions worldwide who are dependent on rice for their economic livelihoods and the majority of their dietary calories. In this study, 44 accessions representing all five rice subpopulations from the larger Rice Diversity Panel 1 (RDP1) were phenotyped for photosynthetic efficiency at the International Rice Research Institute (IRRI) in Los Baños, Philippines. Phenotyping of both physiological and biochemical traits allowed for an in depth understanding of overall photosynthetic activity at the genotype and subpopulation levels. This study found that there are significant differences for individual components of photosynthetic efficiency between the subpopulations of rice. Differences between subpopulations were found at the biochemical level for carboxylation efficiency, maximum rate of carboxylation (Vcmax) maximum electron transport rate (Jmax), and triose-phosphate use (TPU) limitations – among 25 other traits. For example, subpopulation tropical japonica had the highest values for both Vcmax and Jmax, and demonstrated 11.9% and 19% higher rates for both traits respectively when compared with the lowest performing subpopulations. These differences were more pronounced at the accession level when genotypes were compared against the control IR64, confirming a wealth of natural variation that might be exploited to improve photosynthetic efficiency in cultivated rice. Examining existing natural genetic variation allows superior genotypes and traits to be identified, aiding in targeted plant improvement through mapping in the future.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01","The student, Liana Acevedo-Siaca, accepted the attached license on 2017-12-12 at 11:07.","The student, Liana Acevedo-Siaca, submitted this Thesis for approval on 2017-12-12 at 11:15.","This Thesis was approved for publication on 2017-12-13 at 14:27.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11953 on 2018-03-13 at 09:57:47","Made available in DSpace on 2018-03-13T15:28:43Z (GMT). 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Improving photosynthetic efficiency at the leaf level, especially leaf CO2 uptake (Asat) is an approach to not only bettering crop yields, but also optimizing water and nutrient use efficiency. As the world’s second most cultivated crop, improving photosynthesis in Oryza sativa would have positive implications for millions worldwide who are dependent on rice for their economic livelihoods and the majority of their dietary calories. In this study, 44 accessions representing all five rice subpopulations from the larger Rice Diversity Panel 1 (RDP1) were phenotyped for photosynthetic efficiency at the International Rice Research Institute (IRRI) in Los Baños, Philippines. Phenotyping of both physiological and biochemical traits allowed for an in depth understanding of overall photosynthetic activity at the genotype and subpopulation levels. This study found that there are significant differences for individual components of photosynthetic efficiency between the subpopulations of rice. Differences between subpopulations were found at the biochemical level for carboxylation efficiency, maximum rate of carboxylation (Vcmax) maximum electron transport rate (Jmax), and triose-phosphate use (TPU) limitations – among 25 other traits. For example, subpopulation tropical japonica had the highest values for both Vcmax and Jmax, and demonstrated 11.9% and 19% higher rates for both traits respectively when compared with the lowest performing subpopulations. These differences were more pronounced at the accession level when genotypes were compared against the control IR64, confirming a wealth of natural variation that might be exploited to improve photosynthetic efficiency in cultivated rice. Examining existing natural genetic variation allows superior genotypes and traits to be identified, aiding in targeted plant improvement through mapping in the future.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01","The student, Liana Acevedo-Siaca, accepted the attached license on 2017-12-12 at 11:07.","The student, Liana Acevedo-Siaca, submitted this Thesis for approval on 2017-12-12 at 11:15.","This Thesis was approved for publication on 2017-12-13 at 14:27.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11953 on 2018-03-13 at 09:57:47","Made available in DSpace on 2018-03-13T15:28:43Z (GMT). No. of bitstreams: 2 ACEVEDO-SIACA-THESIS-2017.pdf: 4044836 bytes, checksum: b5fb235ca84e3f052e1efe5530bfc424 (MD5) LICENSE.txt: 4216 bytes, checksum: ccd9cff8ebceba8d36532b3fc87b548e (MD5) Previous issue date: 2017-12-13","Embargo set by: Seth Robbins for item 105221 Lift date: 2020-03-13T15:28:52Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 105221 on 2020-03-14T09:15:31Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/99257"],"dc:language":["en"],"dc:rights":["Copyright 2017 Liana Acevedo-Siaca"],"dc:subject":["Photosynthesis","Plant physiology","Natural genetic variation","Rice","Rice subpopulations"],"dc:title":["Characterizing natural genetic variation in photosynthetic efficiency across 44 accessions and five subpopulations of oryza sativa"],"dc:type":["text"],"thesis:degree_discipline":["Crop Sciences"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:37Z"}