Illinois Data Bank - Dataset

Data for publication "Evaluating natural variation, heritability, and genetic advance of photosynthetic traits in rice (Oryza sativa)"
Cite this dataset:
Long, Stephen Patrick; Acevedo-Siaca, Liana Gabriella (2021): Data for publication "Evaluating natural variation, heritability, and genetic advance of photosynthetic traits in rice (Oryza sativa)". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3427028_V1
Dataset Description

1. Rice H2 - Destructive Harvest - These data are for the destructive harvest (above-ground biomass) of 30 diverse indica rice genotypes that were grown to evaluate natural variation as well as the heritability of photosynthesis-related traits. Traits measured include: plant height, leaf area, plant fresh and dry weights, and tiller number.
2. Rice H2 - ACi Response Summary - These data characterize the response of CO2 uptake to change in intercellular CO2 concentration in 30 diverse indica rice genotypes. These measurements were taken to evaluate natural variation and the heritability of photosynthesis-related traits in rice.
3. Rice H2 - Survey Style Gas Exchange Measurements - These data document steady-state survey style gas exchange measurements in 30 diverse indica rice genotypes. These measurements were taken to evaluate natural variation and the heritability of photosynthesis-related traits in rice.

Subject Life Sciences
Keywords photosynthesis, photosynthetic capacity, natural variation, heritability, food security, rice
License CC BY
Funder Bill & Melinda Gates Foundation-Grant:OPP1172157
Funder Foundation for Food and Agricultural Research (FFAR)-Grant:OPP1172157
Funder Foreign, Commonwealth and Development Office UK-Grant:OPP1172157
Funder US Borlaug Fellows in Global Food Security
Funder Office of International Programs in ACES at the University of Illinois
Corresponding Creator Liana Gabriella Acevedo-Siaca
Downloaded 227 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-3427028_V1 2021-08-14

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