Early generation testing for yield and physiological components in groundnut (Arachis hypogaea L.)

Ntare, B R (1999) Early generation testing for yield and physiological components in groundnut (Arachis hypogaea L.). Euphytica, 107 (2). pp. 141-149. ISSN 0014-2336

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Abstract

Selection of superior crosses of groundnut (Arachis hypogaea L.) in early generations would increase the probability of identifying superior lines. The objective of this study was to determine the potential of selecting for physiological traits identified in a yield model [crop growth rate (C), reproductive duration (DR) and partitioning (p)] in segregating populations. Forty populations and nine parental lines were evaluated in replicated trials in 1992 (F2, 1993 (F3) and 1994 (F4) at three locations in Niger. Physiological traits were estimated from final yield and biomass as well as data on flowering and maturity. Regressions from two different parent-offspring generations (F2: F3 and F3: F4) were calculated. The results were compared to determine if early generation performance accurately predicts the performance of cross bulks in later generations. Differences were observed among populations and parents for all traits. Effects of locations were significant for C, p and DR in F2 and F3 but nonsignificant for yield and C in F4. Regression coefficients from F3: F2 were 0.10 ± 0.08 for C, 0.45 ± 0.17 for p, 0.10 ± 0.03 for DR and 0.16 ± 0.03 for pod yield. Based on F3: F4 regression, the coefficients were 0.12 ± 0.23 for C, 0.46 ± 0.17 for p and 0.57 ± 0.17 for yield. Parent-offspring correlations were in most cases similar to the regression values. It was concluded that selection for yield and model components in early generation bulks may inneffective.

Item Type: Article
Divisions: UNSPECIFIED
CRP: UNSPECIFIED
Subjects: Mandate crops > Groundnut
Depositing User: Library ICRISAT
Date Deposited: 28 Dec 2011 03:12
Last Modified: 28 Dec 2011 03:12
URI: http://oar.icrisat.org/id/eprint/5107
Official URL: http://dx.doi.org/10.1023/A:1026441615872
Projects: UNSPECIFIED
Funders: UNSPECIFIED
Acknowledgement: UNSPECIFIED
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