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Gene effects for specific leaf area and harvest index in three crosses of groundnut (Arachis hypogaea)
Authors:S N NIGAM  H D UPADHYAYA   S CHANDRA  R C NAGESWARA RAO  G C WRIGHT  A G S REDDY
Affiliation:International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, Andhra Pradesh, India;JB Petersen Research Station, Department of Primary Industries, Kingaroy, Qld 4610, Australia;Queensland Dept. of Primary Industries, Farming Systems Institute, PO Box 23, Kingaroy, Qld 4610, Australia
Abstract:Groundnut productivity is low in the semi‐arid tropics mainly because of drought caused by low and erratic rainfall. Genotypes that have ability to use limited available water efficiently are required to enhance productivity of the crop. In groundnut, water use efficiency (WUE) is correlated with specific leaf area (SLA). The latter can be used as a surrogate trait for selecting for WUE. Partitioning of assimilates as measured by the harvest index (HI) has the greatest effect on pod yield. In order to improve SLA and in turn WUE and HI, a good knowledge of genetic systems controlling the expression of these traits is essential for the choice of an efficient breeding procedure. This study was conducted to investigate inheritance of SLA and HI in three crosses involving Chico, TMV 2 NLM, and ICGV 86031 groundnut genotypes. The study included parents, F1, F2, and backcross generations. Generation means analysis indicated that the additive effects were more important than the dominance effects in the expression of SLA and HI. In addition to additive and dominance effects, additive × additive type of epistasis, which can be fixed in groundnut (a self pollinated crop), was also significant for SLA in all the three and for HI, in two crosses. The selection for SLA and HI can be effective in early generations in some crosses and to exploit the additive × additive type of interaction, it can be done in large populations of later generations.
Keywords:Peanut    water-use efficiency    drought    generation mean analysis    additive and dominance gene effects    epistasis
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