Inheritance of drought resistance related traits in two crosses of groundnut (Arachis hypogaea L.)
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Abstract
Groundnut (Arachis hypogaea L.) is an important oilseed crop grown in more than 100 countries across wide range of environments. Frequent occurrence of drought is one of the limiting factors adversely affecting groundnut productivity, especially in rainfed areas, and hence genotypes having high water use efficiency (WUE) under limited available water need to be developed. In groundnut, WUE is correlated with SPAD chlorophyll meter reading (SCMR) and specific leaf area (SLA). These two traits, SCMR and SLA, can be used as surrogate traits for selecting for WUE. In order to improve SCMR and SLA, and in turn WUE in groundnut, a good knowledge of the genetic system controlling the expressions of these traits is essential for the selection of the most appropriate and efficient breeding procedure. The present investigation was conducted to determine the gene action controlling the inheritance of SCMR and SLA in two crosses, ICG 7243 × ICG 9418 and ICG 6766 × Chico, and their reciprocals. Six generations of each cross (P1, P2, F1, F2, BC1P1, and BC1P2) were evaluated for SCMR and SLA at two stages of the crop growth viz., 60 and 80 days after sowing (DAS). For SCMR at 80 DAS, additive effects were important in both the crosses whereas predominance of dominance effects with duplicate epistasis was observed for SCMR at 60 DAS and SLA at both stages in both the crosses. Predominance of additive effect for SCMR at 80 DAS suggested effective selection could be practiced even in early generations whereas for SCMR at 60 DAS and SLA at both stages in both crosses, it would be better to defer selection to later generations. Further, recording of SCMR and SLA should be done between 60 and 80 DAS for screening the germplasm lines for drought tolerance.
Keywords
Arachis hypogaea Groundnut Additive gene effects Epistasis SCMR SLAReferences
- Anand SC, Torrie JH (1963) Heritability of yield and other traits interrelationships among traits in F3 and F4 generations of three soybeans crosses. Crop Sci 3:508–511CrossRefGoogle Scholar
- Araus JL, Bort J, Caccareli S, Grando S (1997) Relationship between leaf structure and carbon isotope discrimination in field grown barley. Plant Physiol Biochem 35:533–541Google Scholar
- Bailey WK, Hammons RO (1975) Registration of Chico peanut germplasm. Crop Sci 15:105CrossRefGoogle Scholar
- Bindu Madhava H, Sheshshayee MS, Shankar AG, Prasad TG, Udaykumar M (2003) Use of SPAD chlorophyll meter to assess transpiration efficiency of peanut. In: Cruickshank AW et al. (ed). Breeding of drought resistant peanuts. ACIAR Proceedings No. 112. Proceedings of a collaborative review meeting, Hyderabad, Andhra Pradesh, India, ACIAR, Canberrra, Australia.25–27 Feb 2002 pp 3–9Google Scholar
- Cavalli LL (1952) An analysis of linkage in quantitative inheritance. In: Rieve ECR, Waddington CH (eds) Quantitative Inheritance. HMSO, London, pp 135–144Google Scholar
- Chapman SC, Barreto HJ (1997) Using a chlorophyll meter to estimate specific leaf nitrogen of tropical maize during vegetative growth. Agron J 89:557–562CrossRefGoogle Scholar
- Ebdon JS, Petrovic AM, Dawson TE (1998) Relationship between carbon isotope discrimination, water use efficiency and evapotranspiration in Kentucky bluegrass. Crop Sci 38:157–162CrossRefGoogle Scholar
- Ehdaie B, Hall AE, Farquhar GD, Nguyen HT, Waines JG (1991) Water use efficiency and carbon isotope discrimination in wheat. Crop Sci 31:1282–1288CrossRefGoogle Scholar
- Farquhar GD, O’Leary MH, Berry JA (1982) On the relationship between carbon isotope discrimination and the intercellular carbon dioxide concentration in leaves. Aust J Plant Physiol 9:121–137CrossRefGoogle Scholar
- Food and Agriculture Organization (2007) http://www/FAO.ORG. FAOSTAT database
- Hubick KT, Farquhar GD, Shorter R (1986) Correlation between water use efficiency and carbon isotope discrimination in diverse peanut (Arachis) germplasm. Aust J Plant Physiol 13:803–816CrossRefGoogle Scholar
- Jayalakshmi V, Rajareddy C, Reddy PV, Nageswara Rao RC (1999) Genetic analysis of carbon isotope discrimination and specific leaf area in groundnut (Arachis hypogaea L.). J Oilseeds Res 16:1–5Google Scholar
- Lal C, Hariprasanna K, Rathnakumar AL, Basu MS, Gor HK, Chikani BM (2005) Identification of water use efficient groundnut genotypes for rainfed situations through leaf morpho-physiological traits. IAN 25:4–7Google Scholar
- Lande R (1981) The minimum number of genes contributing to quantitative variation between and within populations. Genet 99:541–553Google Scholar
- Mackown CT, Sutton TG (1998) Using early season leaf traits to predict nitrogen sufficiency of burley tobacco. Agron J 90:21–27CrossRefGoogle Scholar
- Martin B, Thorstenson YR (1988) Stable carbon isotope discrimination (δ13C), water use efficiency, and biomass productivity of Lycopersicon esculentum, Lycopersicon pennellii and the F1 hybrid. Plant Physiol 88:213–217CrossRefPubMedGoogle Scholar
- Martin B, Tauer CG, Lin RK (1999) Carbon isotope discrimination as a tool to improve water use efficiency in tomato. Crop Sci 39:1775–1783CrossRefGoogle Scholar
- Mather K, Jinks JL (1982) Biometrical Genetics, 2nd edn. Chapman and Hall, London, p 382Google Scholar
- Nageswara Rao RC, Wright GC (1994) Stability of the relationship between specific leaf area and carbon isotope discrimination across environments in peanut. Crop Sci 34:98–103CrossRefGoogle Scholar
- Nageswara Rao RC, Sardar Singh, Sivakumar MVK, Srivastava KL, Williams JH (1985) Effect of moisture deficit at different growth stages of peanut. I. Yield responses. Agron J 77:782–786CrossRefGoogle Scholar
- Nageswara Rao RC, Williams JH, Wadia KDR, Hubick KT, Farquhar GD (1993) Crop growth, water use efficiency and carbon isotope discrimination in groundnut (Arachis hypogaea L.) genotypes under end of season drought conditions. Ann Appl Biol 122:357–367CrossRefGoogle Scholar
- Nageswara Rao RC, Talwar HS, Wright GC (2001) Rapid assessment of specific leaf area and leaf nitrogen in peanut (Arachis hypogaea L.) using a chlorophyll meter. J Agron Crop Science 186:175–182CrossRefGoogle Scholar
- Nigam SN, Upadhyaya HD, Chandra S, Nageswara Rao RC, Wright GC, Reddy AGS (2001) Gene effects for specific leaf area and harvest index in three crosses of groundnut (Arachis hypogaea). Ann Appl Biol 139:301–306CrossRefGoogle Scholar
- Passioura JB (1986) Resistance to drought and salinity: Avenues for improvement. Aust J Plant Physiol 13:91–201CrossRefGoogle Scholar
- Payne RW (2009) The guide to GenStat® release 12, Part 2: Statistics. VSN International, 5 The Waterhouse, Waterhouse Street, Hemel Hempstead, Hertfordshire HP1 1ES, UKGoogle Scholar
- Rao MJV, Nigam SN, Huda AKS (1992) The thermal time concept as a selection criterion for earliness in peanut. Peanut Sci 19:7–10CrossRefGoogle Scholar
- Rucker KS, Kvien CK, Holbrook CC, Wood JE (1995) Identification of peanut genotypes with improved drought avoidance traits. Peanut Sci 22:14–18CrossRefGoogle Scholar
- Shashidhar G (2002) Screening diverse germplasm lines of groundnut (Arachis hypogaea L.) for genetic variability in water use efficiency and total dry matter based on stable isotopes and RAPD. M.Sc. (Agric) Thesis submitted to University of Agricultural Sciences, BangaloreGoogle Scholar
- Suriharn B, Patanothai A, Jogloy S (2005) Gene effects for specific leaf area and harvest index in peanut (Arachis hypogaea L.). Asian J Plant Sci 4:667–672CrossRefGoogle Scholar
- Upadhyaya HD (2005) Variability for drought resistance related traits in the mini core collection of peanut. Crop Sci 45:1432–1440CrossRefGoogle Scholar
- Upadhyaya HD, Bramel PJ, Ortiz R, Sube Singh (2002) Developing a mini core of peanut for utilization of genetic resources. Crop Sci 42:2150–2156CrossRefGoogle Scholar
- Virgona JM, Hubick KT, Rawson HM, Farquhar GD, Downes RW (1990) Genotypic variation in transpiration efficiency, carbon isotope discrimination and carbon allocation during early growth in sunflower. Aust J Plant Physiol 17:207–214CrossRefGoogle Scholar
- Warner JN (1952) A method of estimating heritability. Agron J 44:427–430CrossRefGoogle Scholar
- Wright S (1921) System of mating. Genetics 6:111–178PubMedGoogle Scholar
- Wright S (1968) The genetics of quantitative variability. In: Wright S (ed) Evolution and genetics of populations. Vol I. Genetic and biometric foundations. University of Chicago Press, ChicagoGoogle Scholar
- Wright GC, Hubick KT, Farquhar GD (1988) Discrimination in carbon isotopes of leaves correlates with water use efficiency of field grown peanut varieties. Aust J Plant Physiol 15:815–825CrossRefGoogle Scholar
- Wright GC, Nageswara Rao RC, Farquhar GD (1994) Water use efficiency and carbon isotope discrimination in peanut under water deficit conditions. Crop Sci 34:92–97CrossRefGoogle Scholar
- Wu R, Stettler RE (1994) Quantitative genetics of growth and development in Populos.I. A three generation comparison of tree architecture during the first two years of growth. Theor Appl Genet 89:1046–1054Google Scholar