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Evaluation, genetic variability, correlation and path analysis studies in chilli (Capsicum annuum L.) genotypes


Affiliations
1 Department of Vegetable Science & Floriculture, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176062, India
 

The experimental materials comprising of fourteen chilli genotypes including ‘Surajmukhi’ as standard check were evaluated to examine the nature of variability, heritability, genetic advance, correlation and association of various traits with marketable yield. Analysis of variance showed significant differences among the genotypes in terms of both quantitative and qualitative traits. The yield potential of two genotypes, Him Palam Mirch-2 and DPCh-101 was significantly higher than that of check ‘Surajmukhi’. High PCV and GCV was recorded for average green fruit weight, marketable green fruits per plant, non-marketable green fruits per plant and total green fruits per plant. High heritability along with high genetic advance was observed for primary branches per plant, internodal length, secondary branches per plant, fruit length, average green fruit weight, marketable green fruits per plant, non–marketable green fruits per plant, total green fruits per plant and marketable fruit yield per plant. Correlation studies showed that marketable green fruits per plant, total green fruits per plant, per cent marketable green fruits per plant and fruit girth had positive significant association, with marketable yield per plant indicating the importance of these traits in selection for yield. Path analysis revealed that total green fruits per plant, average green fruit weight, percent marketable green fruits per plant, fruit length, primary branches per plant and days to first harvest had the maximum positive direct effect on marketable green fruit yield per plant indicating that these traits are the main contributors to fruit yield. Based on these results, it can be concluded that due consideration should be focused on primary and secondary branches, fruit length, average fruit weight, number of fruits per plant and harvest duration for genetic improvement of chilli.


Keywords

Chilli, correlation, heritability, genetic advance, path analysis
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  • Akula S, Abebie B, Wagori D and Adetris T. 2016. Genetic variability and association of characters in Ethiopian hot pepper (Capsicum annum L.) land races. Journal of Agricultural Sciences 61: 19-36.
  • Al-Jibouri HA, Miller PA and Robinson HF.1958.Genotypic and environmental variance and co-variance in upland cotton crops of inter-specific origin. Agronomy Journal 50: 633-636.
  • Azadani HS. 2020. Genetic variability, genetic divergence studies for yield and yield related traits in chilli (Capsicum annuum L.) germplasm. M Sc Thesis, p 190.
  • Department of vegetable science, College of Horticulture, Sri Konda Laxman Telangana State Horticultural University (unpublished) Bozokalfa MK, Esiyok D, Ilbi H and Kaygisiz AT. 2010.
  • Estimates of genetic variability and association studies in quantitative plant traits of Eruca spp. landraces. Genetika 42: 501-512.
  • Burton GW and De Vane EH. 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal 54: 478-481.
  • Deepo DM, Sarker A, Akter S, Islam Md. M, Hasan M and Zeba N. 2020. Diversity and path analysis in chilli (Capsicum annuum L.) based on morphological traits in Northern region of Bangladesh. Turkish Journal of Agriculture - Food Science and Technology 8: 179-185.
  • Dewey DR and Lu KH. 1959. A correlation and path analysis of components of crested wheat-grass seed production. Agronomy Journal 51: 515-518.
  • Farwah S, Hussain K, Rizvi S, Hussain SM, Rashid M and Saleem S. 2020. Genetic variability, heritability and genetic advance studies in chili (Capsicum annuum L.) genotypes. International Journal of Chemical Studies 8: 1328-1331
  • Gokulakrishnan J, Nagaraja C, Ranjith Rajaram S and Prakash M. 2020.Genetic variability and correlation studies in chilli (Capsicum annum L.).Plant Archives 20: 686-690.
  • Hazra P, Chattopadhyay A, Karmakar K and Dutta S. 2011. Modern Technology in Vegetable Production. New India Publishing Agency, New Delhi, India, pp. 413.
  • Johnson HW, Robinson, HF and Comstock RE. 1955. Estimates of phenotypic and genotypic correlation in soybean and their implications in selection. Agronomy Journal 47: 477-482.
  • Kumar D, Rangare VB and Singh SBD. 2012. Genetic variability, heritability and correlation studies in chilli (Capsicum annuum L.). HortFlora Research Spectrum 1: 248-252.
  • Meena ML, Kumar N, Meena JK and Rai T. 2016.Genetic variability, heritability and genetic advance in chilli (Capsicum annuum L.). HortFlora Research Spectrum 5: 153-156.
  • Megharaj KC, Ajjappalavara, PS, Satish D and Tatagar MH. 2017. Estimation of genetic variation, path analysis and thrips reaction studies for yield and yield attributing traits in chilli (Capsicum annuum L.). Plant Archives 17: 353-361.
  • Negi PS and Sharma A. 2019. Studies on Variability, Correlation and Path Analysis in Red Ripe Chilli Genotypes. International Journal of Current Microbiology and Applied Sciences 8: 1604-1612.
  • Ngullie R and Biswas PK. 2019.Vegetative growth and yield performance of four chilli (Capsicum annuum l.) Cultivars under Mokokchung district of Nagaland. International Journal of Agriculture Sciences 11 (3): 7833-7835.
  • NHB. 2020 . http://nhb.gov.in/statistics/State_Level/201718-(Final).pdf Okuyama LA, Fedeizi LC and Barbosa JF. 2004. Correlation and path analysis of yield and its components and plant traits in wheat. Ciência Rural 6: 1701-1708.
  • Pandit MK and Adhikary S. 2014. Variability and heritability estimates in some reproductive characters and yield in Chilli (Capsicum annuum L.). International Journal of Plant and Soil Science 3: 845-853.
  • Panse VG and Sukhatme PV. 1985. Statistical methods for agricultural workers. Ed. 4th, Indian Council of Agricultural Research, New Delhi.
  • Patel DK, Patel BR, Patel JR and Kuchhadiya GV. 2015. Genetic variability and character association studies for green fruit yield and quality component traits in chilli. Electronic Journal of Plant Breeding 6: 472-478.
  • Salvador MH. 2002. Genetic resources of chilli (Capsicum annuum L.) in Mexico Proceedings of the 16th Int. Pepper Conf., Tampico, Tamaulipas, Mexico, November. Pp. 10-12.
  • Sekhon BS, Sharma A, Katoch V, Kapila RK and Sood VK. 2019. Assessment of genetic diversity in advanced breeding lines derived from intraspecific crosses of garden pea (Pisum sativum L.). Legume Research 42: 145-152.
  • Sharma A, Sekhon BS, Sharma S and Kumar R. 2020. Newly isolated intervarietal garden pea (Pisum sativum L.) progenies (F7) under north western Himalayan conditions of India. Experimental Agriculture 56: 7687.
  • Sharma KC, Verma S, Sharma A and Sharma P. 2010. Genetic divergence and path analysis in early maturing garden peas. Himachal Journal of Agricultural Research 35: 176-179.
  • Sharma S, Barche S, Sengupta SK, Verma BK and Jamkar T. 2014. Genetic variability, heritability and genetic advance in chilli (Capsicum annuum L.). International Journal of Farm Sciences 4: 112-116.
  • Sood S, Kumar Naveen, Chandel KS and Sharma Parveen. 2011. Determination of genetic variation for morphological and yield traits in bell pepper (Capsicum annuum var. grossum). Indian Journal of Agricultural Sciences 81 (7): 590-594.
  • Sood T, Basandrai D, Rana V and Basandrai AK. 2020. Genetic diversity analysis for various agro morphological, yield and yield related traits in Wheat (Triticum aestivum L.). Himachal Journal of Agricultural Research 46: 136-144.
  • Srinivas J, Ravinder Reddy K, Saidaiah P, Anitha PK and Pandravada SR. 2017. Performance of Chilli Genotypes for Yield and Yield Attributes of Fruit Quality in Southern Telangana, India. International Journal of Current Microbiology and Applied Sciences 6: 469-477.
  • Srinivas J, Reddy KR, Saidaiah P, Anitha K, Pandravada SR and Balram M. 2020. Correlation and path analysis study in chilli (Capsicum annuum L.) genotypes. International Research Journal of Pure and Applied Chemistry 21: 1-11.
  • Yatung T, Dubey KR, Singh V, Upadhyay G and Pandey AK. 2014. Selection parameters for fruit yield and related traits in chilli (Capsicum annuum L.). Bangladesh Journal of Botany 43: 283-291.

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  • Evaluation, genetic variability, correlation and path analysis studies in chilli (Capsicum annuum L.) genotypes

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Authors

Hem Lata
Department of Vegetable Science & Floriculture, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176062, India
Akhilesh Sharma
Department of Vegetable Science & Floriculture, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176062, India

Abstract


The experimental materials comprising of fourteen chilli genotypes including ‘Surajmukhi’ as standard check were evaluated to examine the nature of variability, heritability, genetic advance, correlation and association of various traits with marketable yield. Analysis of variance showed significant differences among the genotypes in terms of both quantitative and qualitative traits. The yield potential of two genotypes, Him Palam Mirch-2 and DPCh-101 was significantly higher than that of check ‘Surajmukhi’. High PCV and GCV was recorded for average green fruit weight, marketable green fruits per plant, non-marketable green fruits per plant and total green fruits per plant. High heritability along with high genetic advance was observed for primary branches per plant, internodal length, secondary branches per plant, fruit length, average green fruit weight, marketable green fruits per plant, non–marketable green fruits per plant, total green fruits per plant and marketable fruit yield per plant. Correlation studies showed that marketable green fruits per plant, total green fruits per plant, per cent marketable green fruits per plant and fruit girth had positive significant association, with marketable yield per plant indicating the importance of these traits in selection for yield. Path analysis revealed that total green fruits per plant, average green fruit weight, percent marketable green fruits per plant, fruit length, primary branches per plant and days to first harvest had the maximum positive direct effect on marketable green fruit yield per plant indicating that these traits are the main contributors to fruit yield. Based on these results, it can be concluded that due consideration should be focused on primary and secondary branches, fruit length, average fruit weight, number of fruits per plant and harvest duration for genetic improvement of chilli.


Keywords


Chilli, correlation, heritability, genetic advance, path analysis

References