Genotypic variability and inheritance of iron, phosphorus, potassium and zinc contents in segregating generations of peanut (Arachis hypogaea L.)
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GENOTYPIC VARIABILITY AND INHERITANCE OF P, K, Zn, Fe IN PEANUT
Authors
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B C AJAY
Directorate of Groundnut Research, Junagadh-362 001, Gujarat
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H N MEENA
Directorate of Groundnut Research, Junagadh-362 001, Gujarat
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A L SINGH
Directorate of Groundnut Research, Junagadh-362 001, Gujarat
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M C DAGLA
Directorate of Groundnut Research, Junagadh-362 001, Gujarat
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NARENDRA KUMAR
Directorate of Groundnut Research, Junagadh-362 001, Gujarat
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S K BERA
Directorate of Groundnut Research, Junagadh-362 001, Gujarat
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A D MAKWANA
Directorate of Groundnut Research, Junagadh-362 001, Gujarat
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K A KALARIYA
Directorate of Groundnut Research, Junagadh-362 001, Gujarat
Keywords:
Heritability, Iron, Peanut, Phosphorus, Potassium, Variability, ZincAbstract
Micronutrient malnutrition is a serious health issue affecting billions of people in developing countries. Peanut is rich in several mineral elements required for human nutrition. The objective of this study was to understand genetic variability and inheritance pattern of phosphorus (P), potash (K), zinc (Zn) and iron (Fe) concentrations in F2 and F3 generations of two peanut crosses namely Girnar-3 × FDRS-10 (Cross-A) and TG-37A × FDRS-10 (Cross-B). Pshell, Znshell, Kshell, Feshell, and Fekernel were positively skewed indicating additive gene action. Kurtosis formost of the characters moved in positive direction from F2 to F3 generation indicating a reduction in variation as generation advances.Phenotypic coefficient of variance (PCV) and genotypic coefficient of variance (GCV) revealed that traits were under genetic control and possessed substantial variability and hence a good scope for improving these characters. Both additive and non-additive types of gene actions were observed with the predominance of additive gene action for the inheritance of P, K, Fe and Zn in shell and kernels. Dominance variance (H) also played an important role in the inheritance of P, K, Fe and Zn in peanut. Average degree of dominance for most of the traits was greaterthan unityindicating over dominance forthese traits. Mineral elements had significant association among themselves but very few associations with pod yield. Selection and hybridization followed by pedigree breeding method are suggested in the later generations for genetic improvement to identify high yielding peanut genotypes rich in P, K, Fe and Zn.
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References
Abney M, McPeek M S and Ober C 2001. Broad and narrow heritabilities of quantitative traits in a founder population. American Journal of Human Genetics, 68: 1302-1307.
Ajay B C, Gnanesh B N, Ganapathy K N, Byre Gowda M, Prasad P S and Veerakumar G N 2012. Genetic analysis of yield and quantitative traits in pigeonpea (Cajanus cajan L. Millsp.). Euphytica, 186: 705-714.
Bheemappa A and Patil R K 2013. Critical analysis of extension and research gap in adoption of groundnut (Arachis hypogaea L.) production technology in Dharwad district, Karnataka. Journal of Oilseeds Research, 30(1): 104-107.
Bhadru D 2011. Genetic studies in pigeonpea (Cajanus cajan L. Millsp). Electronic Journal of Plant Breeding, 2: 132-134.
Cannings C, Thomeson E and Skolnick M 1978. Probability functions on complex pedigrees. Advances in Applied Probability, 10: 26-61.
Chatzav M, Peleg Z, Ozturk L, Yazici A, Fahima T, Cakmak I and Saranga Y 2010. Genetic diversity of grain nutrients in wild emmer wheat: potential for wheat improvement. Annals of Botany, 105: 1211-1220.
Choo T M and Reinbergs E. 1982. Analysis of skewness and kurtosis for detecting gene interaction in a double haploid. Crop Science, 22: 231-235.
Cozzolino S M F 2007. Biodisponibilidade de nutrientes. Manole, São Paulo, pp. 992.
Eid M H 2009. Estimation of heritability and genetic advance of yield traits in wheat (Triticum aestivum L.) under drought condition. International Journal of Genetics and Molecular Biology, 1: 115-120.
Eshghi R and Akhundova E 2010. Inheritance of some important agronomic traits in hulless barley. International Journal of Agricultural Biology, 12: 73-76.
Gupta S K, Velu G, Rai K N and Sumalini K 2009. Association of grain iron and zinc content with grain yield and other traits in pearl millet [Penisetum glaucum (L). R Br.]. Crop Improvement, 36: 4-7.
Hammer Ø, Harper D A T and Ryan P D 2001. PAST: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica, 4: 9.
Hill J 1996. Recurrent backcrossing in the study of quantitative inheritance. Heredity, 21: 85-120.
Hunt J M 2005. The potential impact of reducing global malnutrition on poverty reduction and economic development. Asia Pacific Journal of Clinical Nutrition, 14: 10-38.
Khaleque M A, Joarder O L, Eunus A M and Islam A K M N 1978. Nature of gene interaction in the inheritance of yield and yield components in rice. Oryza, 15: 157-172.
Kumar G P, Reddy V N, Kumar S S and Rao P V 2014. Genetic variability, heritability and genetic advance studies in newly developed maize genotypes (Zea mays L.). International Journal of Pure and Applied Biosciences, 2: 272-275.
Lodha M L, Prasanna B M and Pal R K 2005. Alleviating 'hidden hunger' through better harvest. Indian Farming, 54: 20-23.
Mather K and Jinks J L 1971. Biometrical Genetics, Chapman and Hall, London.
Maziya-Dixon B, Kling J G, Menakshi A and Dixon A 2000. Genetic variation in total carotene, iron and zinc contents of maize and cassava genotypes. Food and Nutrition Bulletin, 21: 419-422.
Micronutrient Initiative 2009. Investing in the future: A united call to action on vitamin and mineral deficiencies. Ottawa: Micronutrient Initiative. http://www. micronutrient.org.
Nadarajan N and Gunasekaran L M 2005. Selection. In: Quantitative Genetics and Biometrical Techniques in Plant Breeding. pp. 53.
Paul N K, Joarder O L and Bunus A M 1978. Correlation studies and application of discriminate function selection in Indian mustard. Acta Agronomica, 27: 421-428.
Preetha S andRaveendren TS 2008. Genetic appraisal of yield and fibre quality traits in cotton using interspecific F2 , F3 and F4
populations. International Journal of Integrative Biology, 3: 136-142.
Ravindra Babu V, Shreya K, Dangi K S, Usharani G and Nagesh P 2012. Genetic variability studies for qualitative and quantitative traits in popular rice (Oryza sativa L.) hybrids of India. International Journal of Scientific and Research Publications, 2: 1-5.
Roy D 2000. Plant breeding-The analysis and exploitation of variability. Narosa Publishing House, New Delhi, India.
Shahid M A 1966. Genomic composition, gene action and genotype-interaction in hexaploid wheat (Triticum aestivum L.). M. Sc. Thesis, Rajshahi University, Bangladesh.
Shukla S, Bhargava A, Chatterjee A, Srivastava A and Singh SP 2005. Estimates of genetic variability in vegetable amaranth (A. tricolour) over different cuttings. Horticultural Science, 32: 60-67.
Singh M and Chauhan J S 2013. Genetic variation and correlations for some physiological characters and seed yield in Indian mustard (Brassica juncea L.) under rainfed conditions. Journal of Oilseeds Research, 30(2): 167-170.
Susmita C H and Selvi B 2014. Genetic variability for grain iron, zinc, other nutrients and yield related traits in sorghum (Sorghum bicolour (L.) Moench). International Journal of Agriculture Innovations Research, 4: 91-100.
Visakho S, Chaturvedi H P, Changkija S and Jogendra S 2013. Genetic variability in pigeonpea (Cajanus cajan L. Millsp.) genotypes of Nagaland. International Journal of Agriculture Innovations Research, 2: 89-90.
Yu F Q, Jin M G, Xiao C S and Wang L 1998. Genetic analysis of several quantitative traits of double haploid populations of Brassica napus L. Scientia Agricultura Sinica, 31: 44-48.
Zeng Y W, Shen S Q, Wang L X, Liu J F, Pu Z Y, Du J and Qiu M 2005. Correlation of morphological and quality traits with mineral element contents in Yunnan rice. Rice Science, 12: 101-106.
