Replication Data for: Effective Use of Water and Increased Dry Matter Partitioned to Grain Contribute to Yield of Common Bean Improved for Drought Resistance (doi:10.7910/DVN/1XOLXY)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Replication Data for: Effective Use of Water and Increased Dry Matter Partitioned to Grain Contribute to Yield of Common Bean Improved for Drought Resistance

doi:10.7910/DVN/1XOLXY

Harvard Dataverse

2016-12-20

2

Polanía, José; Poschenrieder, Charlotte; Rao, Idupulapati M; Beebe, Stephen, 2016, "Replication Data for: Effective Use of Water and Increased Dry Matter Partitioned to Grain Contribute to Yield of Common Bean Improved for Drought Resistance", https://doi.org/10.7910/DVN/1XOLXY, Harvard Dataverse, V2, UNF:6:iRG1LQk+YHaMiO4LupLwPA== [fileUNF]

Replication Data for: Effective Use of Water and Increased Dry Matter Partitioned to Grain Contribute to Yield of Common Bean Improved for Drought Resistance

doi:10.7910/DVN/1XOLXY

Polanía, José (International Center for Tropical Agriculture - CIAT, Universidad Autónoma de Barcelona - UAB)

Poschenrieder, Charlotte (Universidad Autónoma de Barcelona - UAB)

Rao, Idupulapati M (International Center for Tropical Agriculture - CIAT)

Beebe, Stephen (International Center for Tropical Agriculture - CIAT)

International Center for Tropical Agriculture

Harvard Dataverse

International Center for Tropical Agriculture

CIAT Data and Research Methods

Garcia, Carolina

2016-12-09

https://doi.org/10.7910/DVN/1XOLXY

Earth and Environmental Sciences, Canopy biomass, Grain carbon isotope discrimination, Leaf carbon isotope discrimination, Pod harvest index, Drought stress, Water use efficiency, Latin America and the Caribbean, Agrobiodiversity - AGBIO, Common Bean Ontology

Plant physiology

Traits related with drought resistance in common beans. A set of 36 bean genotypes belonging to the Middle American gene pool were evaluated under field conditions with two levels of water supply (irrigated and drought) over two seasons. Eight bean lines (NCB 280, NCB 226, SEN 56, SCR 2, SCR 16, SMC 141, RCB 593 and BFS 67) were identified as resistant to drought stress. Resistance to terminal drought stress was positively associated with EUW combined with increased dry matter partitioned to pod and seed production and negatively associated with days to flowering and days to physiological maturity. Based on phenotypic differences in CID, leaf stomatal conductance, canopy biomass and grain yield under drought stress, the lines tested were classified into two groups, water savers and water spenders.

2012-06-01-2014-05-30

Colombia

CIAT-HQ, Valle del Cauca, Palmira

Experimental Data

Phenomic Data

Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.

<P><a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.</P> <Strong>Disclaimer</Strong> <P> Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study. </P>

Effective Use of Water and Increased Dry Matter Partitioned to Grain Contribute to Yield of Common Bean Improved for Drought Resistance

10.3389/fpls.2016.00660

Effective Use of Water and Increased Dry Matter Partitioned to Grain Contribute to Yield of Common Bean Improved for Drought Resistance

• Number of cases: 432

• No. of variables per record: 27

• Type of File: text/tab-separated-values

UNF:6:iRG1LQk+YHaMiO4LupLwPA==

Evaluation of shoot traits in 36 bean genotypes under irrigated and drought conditions in two years 2012 and 2013

• LINE - LINE
• YEAR - YEAR
• STRESS - STRESS
• REP - REP
• SCMR - SCMR
• SCOND - SCOND
• CTD - CTD
• LAI - LAI
• CB - CB
• SNA - SNA
• PNA - PNA
• PHI - PHI
• PPI - PPI
• HI - HI
• SBR - SBR
• DF - DF
• DPM - DPM
• YDHA - YDHA
• 100SW - 100SW
• TNCSH - TNCSH
• TNCS - TNCS
• CIDG - CIDG
• CSEED - CSEED
• NSEED - NSEED
• CIDL - CIDL
• SHCCF - SHCCF
• SHNCF - SHNCF

f2965803 Location:

Variable Format: character

Notes: UNF:6:apf/AZMh4LkBa3ur8otbcw==

f2965803 Location:

Summary Statistics: Min. 2012.0; Valid 432.0; StDev 0.5005797103396344; Max. 2013.0; Mean 2012.5;

Variable Format: numeric

Notes: UNF:6:i9bdP9cQAmIsMPauXTJyJQ==

f2965803 Location:

Variable Format: character

Notes: UNF:6:J9wBtpN3IWE64/lrNEedvg==

f2965803 Location:

Summary Statistics: Mean 2.0; Min. 1.0; StDev 0.8174432439482059; Valid 432.0; Max. 3.0;

Variable Format: numeric

Notes: UNF:6:EZU+PTDlnt8JGI4qpT12Lg==

f2965803 Location:

Summary Statistics: Mean 41.49651972157773; Max. 55.1; StDev 5.2611089068048456; Valid 431.0; Min. 27.0;

Variable Format: numeric

Notes: UNF:6:phrXSkrtjtrgVp1Mwl0N7w==

f2965803 Location:

Summary Statistics: Max. 4446.6; Mean 372.28944315545243; StDev 245.297884188044; Min. 104.4; Valid 431.0

Variable Format: numeric

Notes: UNF:6:guf0m/vyVVG8rhYK/26qoQ==

f2965803 Location:

Summary Statistics: Valid 432.0; Mean 6.528703703703704; Min. -1.7; StDev 4.126290580384294; Max. 15.0;

Variable Format: numeric

Notes: UNF:6:7rnKgtRjLBkeeNQPMMQNyw==

f2965803 Location:

Summary Statistics: Min. 0.75; Valid 430.0; Max. 6.23; StDev 0.950037122412678; Mean 2.7959534883720933;

Variable Format: numeric

Notes: UNF:6:FFdGVJ5YYJ/ZyCEXuB8gGQ==

f2965803 Location:

Summary Statistics: Mean 3597.829651972158; Valid 431.0; Max. 6775.67; Min. 612.67; StDev 1160.0836860848062

Variable Format: numeric

Notes: UNF:6:4E8zOntHypAYrDJlO5OtHA==

f2965803 Location:

Summary Statistics: Mean 882.4847222222222; Valid 432.0; Min. 0.0; StDev 398.55879710735616; Max. 2633.33

Variable Format: numeric

Notes: UNF:6:K/hR9btiDaq3OEPtoYYNyA==

f2965803 Location:

Summary Statistics: Min. 0.0; Mean 221.35793981481478; Max. 510.0; StDev 80.40309691006652; Valid 432.0;

Variable Format: numeric

Notes: UNF:6:iAk0ZVPDb/eMiWkSh9+HZQ==

f2965803 Location:

Summary Statistics: Max. 84.69; StDev 8.433642670425693; Min. 0.0; Valid 432.0; Mean 74.29831018518519;

Variable Format: numeric

Notes: UNF:6:nEGNA83LItI/Bi5tvTDGRg==

f2965803 Location:

Summary Statistics: Mean 70.0122969837587; StDev 30.416181595511482; Min. 3.35; Valid 431.0; Max. 264.48

Variable Format: numeric

Notes: UNF:6:xYgP0GjiAO95Z5Tk47swDg==

f2965803 Location:

Summary Statistics: Valid 431.0; Mean 53.08677494199536; StDev 25.336385418730124; Min. 0.0; Max. 217.63

Variable Format: numeric

Notes: UNF:6:sro8udE36RV0ccuVvXoj8w==

f2965803 Location:

Summary Statistics: Max. 85.37; StDev 27.037952878771872; Valid 432.0; Min. -125.17; Mean 30.33224537037037

Variable Format: numeric

Notes: UNF:6:kSIbwnXOJ/ynVML+Ct/eMg==

f2965803 Location:

Summary Statistics: Valid 432.0; Max. 42.0; StDev 2.7385264960553055; Min. 29.0; Mean 33.907407407407405

Variable Format: numeric

Notes: UNF:6:OyKBtct0FLCqRdIGi6U9OQ==

f2965803 Location:

Summary Statistics: Min. 52.0; Valid 432.0; Max. 69.0; Mean 59.738425925925924; StDev 3.5348586052018356;

Variable Format: numeric

Notes: UNF:6:oHPHPYhJVVcvBs0N88Xw1w==

f2965803 Location:

Summary Statistics: Min. 43.34; StDev 846.3337496115196; Max. 3707.6; Valid 432.0; Mean 1695.3787037037034

Variable Format: numeric

Notes: UNF:6:ONusGC+rb5tDRD56UEJLSg==

f2965803 Location:

Summary Statistics: Valid 432.0; Max. 40.36; Min. 9.22; Mean 25.321620370370372; StDev 5.5456056192135765;

Variable Format: numeric

Notes: UNF:6:ViQRy3pGpkU+b6tpGmHHIg==

f2965803 Location:

Summary Statistics: StDev 71.50284581903831; Mean 170.22557870370372; Min. 56.0; Valid 432.0; Max. 457.3

Variable Format: numeric

Notes: UNF:6:aDmKJJLX5N3P0e4Zmb2+JQ==

f2965803 Location:

Summary Statistics: Max. 621.3; StDev 78.20719858929509; Min. 213.1; Mean 371.00649651972157; Valid 431.0;

Variable Format: numeric

Notes: UNF:6:JZ7CSEdyOWIYHQmpYq7KYw==

f2965803 Location:

Summary Statistics: StDev 1.347753830689787; Min. 14.46; Mean 18.40427906976744; Valid 430.0; Max. 20.76;

Variable Format: numeric

Notes: UNF:6:pvKkQwyukUIUVcU04NVJsQ==

f2965803 Location:

Summary Statistics: Mean 42.47709302325581; StDev 1.3441875790739766; Max. 44.77; Min. 27.55; Valid 430.0;

Variable Format: numeric

Notes: UNF:6:zYknLXZSWAGH8htWoydqtA==

f2965803 Location:

Summary Statistics: Mean 3.571093023255814; Min. 2.32; Max. 5.25; StDev 0.37764324465152516; Valid 430.0;

Variable Format: numeric

Notes: UNF:6:fFo3Vph/GS1NBQ+gwbWJPA==

f2965803 Location:

Summary Statistics: Min. 17.48; StDev 0.8944598165428191; Max. 21.95; Valid 432.0; Mean 20.112175925925925

Variable Format: numeric

Notes: UNF:6:JRbyyMM+aQEt85w99g8+sw==

f2965803 Location:

Summary Statistics: Valid 432.0; Min. 30.59; Max. 62.29; Mean 39.7449537037037; StDev 1.7201806136447817

Variable Format: numeric

Notes: UNF:6:G6hyjaacWms55MMgT0rQMQ==

f2965803 Location:

Summary Statistics: Min. 1.58; Mean 2.3697453703703704; Max. 3.58; Valid 432.0; StDev 0.3513040736779082;

Variable Format: numeric

Notes: UNF:6:Dciee4QuYSX2MGMsfQqGOg==

Label:

01. Dictonary.xls

Text:

Document detailing the traits used

application/vnd.ms-excel