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Part 1: Document Description
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Citation |
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Title: |
Rice breeding for yield under drought has selected for longer flag leaves and lower stomatal density |
Identification Number: |
doi:10.7910/DVN/H9BAO2 |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2022-06-23 |
Version: |
1 |
Bibliographic Citation: |
Kumar,Santosh; Tripathi, Santosh; Singh, Suresh Prasad; Prasad, Archana; Akter, Fahamida; Syed, Md. Abu; Badri, Jyothi; Das, Sankar Prasad; Natividad, Mignon; Quintana, Marinell; Venkateshwarlu, Challa; Raman,Anitha; Yadav, Shailesh; Singh, Shravan K.; Swain, Padmini; Anandan, Annamalai; Yadaw, Ram Baran; Mandal, Nimai P; Verulkar, Satish B; Kumar, Arvind; Henry, Amelia, 2022, "Rice breeding for yield under drought has selected for longer flag leaves and lower stomatal density", https://doi.org/10.7910/DVN/H9BAO2, Harvard Dataverse, V1, UNF:6:j4jGqjuV+fDtZ+zV7srTvA== [fileUNF] |
Citation |
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Title: |
Rice breeding for yield under drought has selected for longer flag leaves and lower stomatal density |
Identification Number: |
doi:10.7910/DVN/H9BAO2 |
Authoring Entity: |
Kumar,Santosh (ICAR Research Complex for Eastern Region) |
Tripathi, Santosh (Nepal Agricultural Research Council Regional Agriculture Research Station) |
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Singh, Suresh Prasad (Bihar Agricultural University) |
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Prasad, Archana (Indira Gandhi Agricultural University) |
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Akter, Fahamida (Bangladesh Rice Research Institute) |
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Syed, Md. Abu (Bangladesh Rice Research Institute) |
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Badri, Jyothi (ICAR Indian Institute of Rice Research) |
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Das, Sankar Prasad (ICAR Research Complex for North Eastern Hill Region) |
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Natividad, Mignon (International Rice Research Institute) |
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Quintana, Marinell (International Rice Research Institute) |
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Venkateshwarlu, Challa (International Rice Research Institute South Asia Hub) |
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Raman,Anitha (International Rice Research Institute South Asia Hub) |
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Yadav, Shailesh (International Rice Research Institute,) |
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Singh, Shravan K. (Banaras Hindu University) |
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Swain, Padmini (ICAR National Rice Research Institute) |
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Anandan, Annamalai (ICAR National Rice Research Institute) |
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Yadaw, Ram Baran (National Rice Research Program) |
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Mandal, Nimai P (Central Rainfed Upland Rice Research Station) |
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Verulkar, Satish B (Indira Gandhi Agricultural University) |
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Kumar, Arvind (International Rice Research Institute South Asia Hub) |
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Henry, Amelia (International Rice Research Institute) |
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Distributor: |
Harvard Dataverse |
Access Authority: |
Henry, Amelia |
Depositor: |
Quintana, Marinell |
Date of Deposit: |
2022-03-16 |
Holdings Information: |
https://doi.org/10.7910/DVN/H9BAO2 |
Study Scope |
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Keywords: |
Agricultural Sciences, Agricultural Sciences, Breeding, drought, flag leaf, G×E, Oryza sativa, physiology, rice, stomatal density, vapor pressure deficit |
Abstract: |
Direct selection for yield under drought has resulted in the release of a number of drought-tolerant rice varieties across Asia. In this study, we characterized the physiological traits that have been affected by this strategy in breeding trials across sites in Bangladesh, India, and Nepal. Drought- breeding lines and drought-tolerant varieties showed consistently longer flag leaves and lower stomatal density than our drought-susceptible check variety, IR64. The influence of environmental parameters other than drought treatments on leaf traits was evidenced by close grouping of treatments within a site. Flag-leaf length and width appeared to be regulated by different environmental parameters. In separate trials in the Philippines, the same breeding lines studied in South Asia showed that canopy temperature under drought and harvest index across treatments were most correlated with grain yield. Both atmospheric and soil stress strengthened the relationships between leaf traits and yield. The stable expression of leaf traits among genotypes and the identification of the environmental conditions in which they contribute to yield, as well as the observation that some breeding lines showed longer time to flowering and higher canopy temperature than IR64, suggest that selection for additional physiological traits may result in further improvements of this breeding pool. |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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File Description--f6098756 |
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File: stomata traits 2017.tab |
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Notes: |
UNF:6:j4jGqjuV+fDtZ+zV7srTvA== |
List of Variables: |
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Variables |
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f6098756 Location: |
Variable Format: character Notes: UNF:6:zWfldcAAP/CGOUiipFmzWA== |
f6098756 Location: |
Variable Format: character Notes: UNF:6:A/L9FSX95ZyX6uWB4SSwsg== |
f6098756 Location: |
Variable Format: character Notes: UNF:6:Ps7w6E76d3LkSV3y7XUA6Q== |
f6098756 Location: |
Summary Statistics: StDev 22.14840671747943; Max. 104.0; Min. 1.0; Mean 38.207142857142856; Valid 280.0 Variable Format: numeric Notes: UNF:6:BqBbbPLSVJ6I6+kY2ayTGg== |
f6098756 Location: |
Summary Statistics: Max. 7.666666667; StDev 0.7673397685161837; Mean 2.0759523809464286; Valid 280.0; Min. 1.0; Variable Format: numeric Notes: UNF:6:+UbxlxtZcYhxUbioXpJyFA== |
f6098756 Location: |
Summary Statistics: Mean 1016.2058402978572; StDev 171.1466020008888; Max. 1571.009158; Min. 684.2015685; Valid 280.0 Variable Format: numeric Notes: UNF:6:8nTXoD1uZe/3rCcW2gPr0g== |
f6098756 Location: |
Summary Statistics: Min. 9.579216667; Mean 12.737819653403571; Max. 181.5192639; Valid 280.0; StDev 10.208832835029117; Variable Format: numeric Notes: UNF:6:IK/WxckiEoYz/6JVd3pPFw== |
f6098756 Location: |
Summary Statistics: Max. 297.3976716; Valid 280.0; Mean 22.184797054785715; Min. 14.41072152; StDev 22.763567705358568 Variable Format: numeric Notes: UNF:6:tIM6IBAcvkKMHTUmapCZwg== |
f6098756 Location: |
Variable Format: character Notes: UNF:6:HvI8NZfl1OgMFMoc0y5H/g== |
f6098756 Location: |
Summary Statistics: Mean 0.015994172267857144; Valid 280.0; Max. 0.05684853; Min. 0.002825737; StDev 0.00689477370100539 Variable Format: numeric Notes: UNF:6:eAxoK75o9sOiSVkkok1ucQ== |
Label: |
IRRI yield leaf env.csv |
Notes: |
text/csv |
Label: |
Kumar S et al 2021.pdf |
Notes: |
application/pdf |
Label: |
S Asia yield leaf env.csv |
Notes: |
text/csv |