Himachal Journal of Agricultural Research

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Evaluation of Red Rice (Oryza sativa L.) Local Germplasm Collected from Himachal Pradesh


Affiliations
1 Department of Genetics and Plant Breeding, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India
2 Department of Genetics and Plant Breeding CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, India
3 College of Agriculture, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India
 

Rice with red bran layer is called red rice. Most of the Indian states consume white rice however, in some states like Kerala and Himachal Pradesh red rice is also consumed. Red rice is preferred because of its special features of medicinal value and culinary properties. An experiment was conducted at Rice and Wheat Research Station, Malan to evaluate thirty red rice local germplasm collected from different areas of Himachal Pradesh for six agro-morphological traits viz. days to 50% flowering, days to 75% maturity, plant height (cm), total number of tillers per plant, panicle length and grain yield (q/ha). Analysis of variance revealed that there was sufficient variability for grain yield and agro-morphological traits. Total tillers per plant were significantly and positively correlated with grain yield. High heritability and moderate genetic advance were observed for plant height while, high heritability coupled with low genetic advance was observed for rest of the traits. Moderate GCV and PCV were recorded for plant height and grain yield. Moderate genetic advance was recorded for plant height only. Broadly all the local germplasm were dispersed into two clusters i.e. cluster 1 and cluster 2. Cluster 1 consisted of 3 lines viz. Bayal -k, Bayal -1 and Bayal -p while, cluster 2 contained 27 lines. Cluster 2 was subdivided into two clusters, cluster 2A and cluster 2B consisted of 6 and 21 lines, respectively. Based on agro-morphological traits, cluster 1 and 2 were distant clusters, so lines from these clusters could be selected for hybridization programme. On the basis of mean performance, local germplasm lines ie. Kali Jhini 1, HPR 2800 and Lal Jhini were selected and can be used in breeding programme for the improvement and development of new red rice cultivars.

Keywords

Cluster Analysis, Genetic Advance, Heritability, Parameters of Variability, Red Rice.
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  • Aghaee M, Reza M and Sadegh N. 2010. Agromorphological characterization of Durum wheat accessions using pattern analysis. Australian Journal of Crop Science 4 (7): 505-514.

  • Amiri R, Bahraminejad S and Cheghamirza K.2018. Estimating genetic variation and genetic parameters for grain iron, zinc and protein concentrations in bread wheat genotypes grown in Iran. Journal of Cereal Science 80: 16-23.

  • Anonymous 2018-19. Economic survey of Himachal Pradesh. Economics & Statistics Department. pp 1-170.

  • Anonymous. 2018. Agricultural statistics at a glance. Department of Agriculture Cooperation and Farmer Welfare. Directorate of Economics and Statistics. Government of India, New Delhi, pp 1-468.

  • Chaudhary RC. 2003. Specialty rices of the world: effect of WTO and IPR on its production trend and marketing. Food Agriculture and Environment 1 (2): 34-41.

  • Devi KR, Chandra BS, Lingaiah N, Hari Y and Venkanna V. 2017. Analysis of variability, correlation and path coefficient studies for yield and quality traits in rice (Oryza sativa L.). Agriculture Science Digest 37 (1): 1-9.

  • Estorninos LE, Gealy DR and Talbert RE. 2002. Growth response of rice (Oryza sativa) and red rice (Oryza sativa) in a replacement series study. Weed technology 16 (2): 401-406.

  • Fu YB and Somers DJ. 2009. Genome-Wide reduction of genetic diversity in wheat breeding. Crop Science 49 (1): 161-168.

  • Gafoor A, Sharif A, Ahmad Z, Zahid MA and Rabbani MA. 2001. Genetic diversity in blackgram (Vigna mungo L. Hepper). Field Crops Research 69 (2): 183-190.

  • Gunaratne A, Wu K, Li D, Bentota A, Corke H and Cai YZ. 2013. Antioxidant activity and nutritional quality of traditional red-grained rice varieties containing proanthocyanidins. Food Chemistry 138 (2-3): 1153-1161.

  • Kato S and Ishikawa J. 1921. On the inheritance of the pigment of red rice. Japanese Journal of Genetics 1: 1-7.

  • Khodadadi M, Fotokian MH and Miransari M. 2011. Genetic diversity of wheat (Triticum aestivum L.) genotypes based on cluster and principal component analyses for breeding strategies. Australian Journal of Crop Science 5 (1): 17-24.

  • Kumar B, Gupta BB and Singh B. 2014. Genetic diversity for morphological and quality traits in rice (Oryza sativa L.). The Bioscan 9 (4): 1759-1762.

  • Kumar S, Dwivedi SK, Basu S, Kumar G, Mishra JS, Koley TK, Rao KK, Chaudhary AK, Mondal S, Kumar S, Bhakta N, Bhatt BP, Paul RK, and Kumar A. 2020. Anatomical, agro-morphological and physiological changes in rice under cumulative stage specific drought conditions prevailed in eastern region of India. Field Crops Research 245: 107658.

  • Marwede V, Schierholt A, Möllers C and Becker C. 2004. Genotype × environment interaction and heritability of tocopherol content in canola. Crop Science 44 (3): 728-731.

  • Mohammadi AA, Saeidi G and Arzani A. 2010. Genetic diversity of some agronomic traits in Flax ('Linum usitatissimum' L.). Australian Journal of Crop Science 4 (5): 343-352.

  • Mohammadi SA and Prasanna BM. 2003. Analysis of genetic diversity in crop plants- salient statistical tools and considerations. Crop Science 43 (4): 1235-1248.

  • Oki T, Masuda M, Kobayashi M, Nishiba Y, Furuta S, Suda I and Sato T. 2002. Polymeric procyanidins as radical-scavenging components in red-hulled rice. Journal of Agricultural and Food Chemistry 50 (26): 7524-7529.

  • Rabbani MA, Iwabuchi A, Murakami Y, Suzuki T and Takayanagi K. 1998. Phenotypic variation and the relationships among mustard (Brassica juncea L.) ermplasm for Pakistan. Euphytica 101 (3): 357-366.

  • Rahim MA, Mia AA, Mahmud F, Zeba N and Afrin KS. 2010. Genetic variability, character association and genetic divergence in Mungbean ('Vigna radiata' L. Wilczek). Plant Omics 3 (1): 1-6.

  • Shahidullah SM, Hanafi MM, Ashrafuzzamam M, Ismail MR, Salam MA and Khair A. 2010. Biomass accumulation and energy conversion efficiency in aromatic rice genotypes. Comptes Rendus Biologies 333 (1): 61-67.

  • Talukdar PR, Rathi S, Pathak K, Chetia SK and Sarma RN. 2017. Population structure and marker-trait association in indigenous aromatic rice. Rice Science 24 (3): 145-154.

  • Toker C and Cagirgan MI. 2004. The use of phenotypic correlation and factor analysis in determining characters for grain yield selection in chickpea (Cicer arietinum L.). Hereditas 140 (3): 226-228.


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  • Evaluation of Red Rice (Oryza sativa L.) Local Germplasm Collected from Himachal Pradesh

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Authors

Hausila Prasad Singh
Department of Genetics and Plant Breeding, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India
Daisy Basandrai
Department of Genetics and Plant Breeding CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, India
Monika Sharma
Department of Genetics and Plant Breeding, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India
Ashwani Kumar Basandrai
College of Agriculture, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India

Abstract


Rice with red bran layer is called red rice. Most of the Indian states consume white rice however, in some states like Kerala and Himachal Pradesh red rice is also consumed. Red rice is preferred because of its special features of medicinal value and culinary properties. An experiment was conducted at Rice and Wheat Research Station, Malan to evaluate thirty red rice local germplasm collected from different areas of Himachal Pradesh for six agro-morphological traits viz. days to 50% flowering, days to 75% maturity, plant height (cm), total number of tillers per plant, panicle length and grain yield (q/ha). Analysis of variance revealed that there was sufficient variability for grain yield and agro-morphological traits. Total tillers per plant were significantly and positively correlated with grain yield. High heritability and moderate genetic advance were observed for plant height while, high heritability coupled with low genetic advance was observed for rest of the traits. Moderate GCV and PCV were recorded for plant height and grain yield. Moderate genetic advance was recorded for plant height only. Broadly all the local germplasm were dispersed into two clusters i.e. cluster 1 and cluster 2. Cluster 1 consisted of 3 lines viz. Bayal -k, Bayal -1 and Bayal -p while, cluster 2 contained 27 lines. Cluster 2 was subdivided into two clusters, cluster 2A and cluster 2B consisted of 6 and 21 lines, respectively. Based on agro-morphological traits, cluster 1 and 2 were distant clusters, so lines from these clusters could be selected for hybridization programme. On the basis of mean performance, local germplasm lines ie. Kali Jhini 1, HPR 2800 and Lal Jhini were selected and can be used in breeding programme for the improvement and development of new red rice cultivars.

Keywords


Cluster Analysis, Genetic Advance, Heritability, Parameters of Variability, Red Rice.

References