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Sood, V.K.
- Genotypic and seasonal variations of catechin and caffeine content in exotic collection of tea [Camellia sinensis (L.) O. Kuntze] germplasm in Sri Lanka
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Authors
J. D. Kottawa-Arachchi
1,
M.A.B. Ranatunga
1,
A.M.T. Amarakoon
1,
M.T.K. Gunasekare
1,
R.K. Sharma
1,
H.K. Chaudhary
1,
V.K. Sood
1,
R. Katoch
1,
D.K. Banyal
1,
E.N.U. Edirisinghe
1,
R.N. Attanayake
1
Affiliations
1 Department of Genetics and Plant Breeding, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
1 Department of Genetics and Plant Breeding, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
Source
Himachal Journal of Agricultural Research, Vol 48, No 01 (2022), Pagination: 8-16Abstract
The quality of made tea is largely dependent on the key metabolites viz. caffeine and flavan-3-ols. The aim of the present study was to quantify flavan-3-ols and caffeine of Sri Lankan exotic tea germplam. Fresh leaf flavan-3- ols; catechin (+C), epicatechin (EC), epicatechingallate (ECg), epigallocatechin (EGC) and epigallocatechingallate (EGCg), caffeine and gallic acid of 58 accessions (54 exotic and 4 improved cultivars) were performed by High Performance Liquid Chromatography (HPLC). Variation in metabolites among cultivars and seasons were determined. Among the flavan-3-ols, EGCg was the most abundant followed by EGC, ECg, EC and +C. Hierarchical clustering of 58 accessions based on metabolite diversity resulted in two major clusters. High caffeine containing accessions (>30 mg g-1) of Indian origin and improved TRI cultivars clustered together. Low caffeine accessions such as PBGT10, PBGT27, PBGT35, PBGT71, PBGT48, PBGT53 and PBGT54 (< 20 mg g-1) grouped separately. Higher variations in catechins and caffeine content in exotic germplasm is useful in developing tea cultivars of high quality tea.
Keywords
Tea quality, Camellia sinensis, flavan-3-ols, caffeine, seasonal variationsFull Text
References
- Balantine DA, Harbowy ME and Graham HN. 1998. Tea: the plant and its manufacture, chemistry and consumption of the beverage. In: Spiller GA (ed). Caffeine. CRC Press: Boca Raton, New York, pp. 35-72.
- Banerjee B. 1992. Botanical classification of tea. In: Wilson KC and Clifford MN (eds). Tea Cultivation to Consumption. Chapman & Hall publication, London, pp. 555-601.
- Cevallos-cevallos JM, Corcuera JIR, Etxeberria E, Danyluk MD and Rodrick GE. 2009. Metabolomic analysis in food science/ : a review. Trends in Food Science & Technology 20: 557-566.
- Chen L and Zhou ZX. 2005. Variations of main quality components of tea genetic resources [Camellia sinensis (L.) O. Kuntze] preserved in the China national germplasm tea repository. Plant Food for Human Nutrition 60: 31-35.
- Chin JM, Merves ML, Goldberger BA, Sampson-Cone A and Cone EJ. 2008. Caffeine Content of Brewed Teas. Journal of Analytical Toxicology 32: 702-704.
- Deka H, Barman T, Dutta J, Devi A, Tamuly P, Paul RK and Karak T. 2020. Catechin and caffeine content of tea (Camellia sinensis L.) leaf significantly differ with seasonal variation: A study on popular cultivars in North East India. Journal of Food Composition and Analysis 96:103684.
- Engelhardt UH.2010. Chemistry of Tea. In: Mender L and Liu HW (eds). Comprehensive Natural Products II: Chemistry and Biology. Elsevier, United Kingdom, pp. 999-1032.
- Gunasekare MTK. 2012. Tea Plant (Camellia sinensis) breeding in Sri Lanka. In: Chen L and Apostolides Z (eds). Global Tea Breeding–Achivements, Challenges and Perspectives. Springer-Verlag Berlin Heidelberg/Zhejiang press, pp. 125-176.
- ISO-1573. 1980. Tea. Determination of loss in mass at 103°C. Jin JQ, Ma JQ, Ma CL, Yao MZ and Chen L. 2014.
- Determination of catechin content in representative Chinese tea germplasms. Journal of Agricultural and Food Chemistry 62: 9436-9441.
- Kottawa-Arachchi JD, Gunasekare MTK, Ranatunga MAB, Punyasiri PAN and Jayasinghe L. 2013. Use of biochemical compounds in tea germplasm characterization and its implications in tea breeding in Sri Lanka. Journal of the National Science Foundation of Sri Lanka 41: 309-318.
- Kuribara H. 2016. Caffeine intake in the daily life: mechanism of action and safety assessment. Bulletin of Tokyo University and Graduate School of Social Welfare 6: 109-125.
- Lampíø L. 2013. Varietal differentiation of white wines on the basis of phenolic compounds profile. Czech Journal of Food Sciences 31: 172-179.
- Liang Z, Owens CL, Zhong G and Cheng L. 2011. Polyphenolic profiles detected in the ripe berries of Vitis vinifera germplasm. Food Chemistry 129: 940-950.
- Lubanga N, Massawe F and Mayes S. 2021. Genomic and pedigree-based predictive ability for quality traits in tea (Camellia sinensis (L.) O. Kuntze). Euphytica 217: 3247.
- Mohanpuria P, Kumar V, Ahuja PS and Yadav SK. 2011. Producing low-caffeine tea through post transcriptional silencing of caffeine synthase mRNA. Plant Molecular Biology 76: 3-34.
- Muthiani MA, Wanyoko JK, Wachira FN, Kamunya SM, Chalo RM, Kimutai S. Khalid R and Karori S. 2016.
- Potential use of Kenyan tea cultivars in development of high value diversified products potential use of Kenyan tea cultivars in development of high value diversified products. International Journal of Tea Science 12: 30-48.
- Ogino A, Tanaka J, Taniguchi F, Yammamoto MP and Yamada K. 2019. A new DNA marker CafLess-TCS1 for selection of caffeine-less tea plants. Breeding Science 69: 393-400.
- Ogino A, Tanaka J, Taniguchi F, Yammamoto MP and Yamada K. 2009. Detection and characterization of caffeine less tea plants originated from interspecific hybridization. Breeding Science 59: 277-283.
- Price EJ, Darpal M, Perez-Fons L, Amah D, Bhattacharjee R, Heider B, Rouard M, Swennen R, Lopez-Lavalle LAB and Fraser PD. 2019. Metabolite database for root , tuber, and banana crops to facilitate modern breeding in understudied crops. The Plant Journal 101: 1258-1268.
- Punyasiri PAN, Jaganathan B, Kottawa-Arachchi JD, Ranatunga MAB, Abeysinghe ISB, Gunasekare MTK and Bandara BMR. 2015. New sample preparation method for quantification of phenolic compounds of Tea (Camellia sinensis (L.) O.Kuntze): A polyphenol rich plant. Journal of Analytical Methods in Chemistry 2015.
- Article ID:964341 Punyasiri PAN, Jaganathan B, Kottawa-Arachchi JD, Ranatunga MAB, Abeysinghe ISB, Gunasekare MTK and Bandara BMR. 2017. Genotypic variation in biochemical compounds of the Sri Lankan tea (Camellia sinensis L .) accessions and their relationships to quality and biotic stresses. The Journal of Horticultural Science and Biotechnology 92: 502-512.
- Raina SN, Ahuja PS, Sharma RK, Das SC, Bhardwaj P, Negi R and Sharma V. 2012. Genetic structure and diversity of India hybrid tea. Genetic Resources and Crop Evolution 59: 1527-1541.
- Ranatunga MAB, Kottawa-Arachchi JD, Gunasekere MTK and Yakandawala DMD. 2017. Floral diversity and genetic structure of tea germplasm of Sri Lanka. International Journal of Biodiversity: Article ID: 2957297
- Robertson A. 1992. The chemistry and biochemistry of black tea production - the non-volatiles. In: Willson KC and Clifford MN (eds). Tea: Cultivation to Consumption. Chapman & Hall publication: London, pp. 555-601.
- Sabhapondit S, Karak T, Bhuyan LP, Goswami BC and Hazarika M. 2012. Diversity of catechins in Notheast Indian tea cultivars. The Scientific World Journal 2012: 1-8.
- Sayama K. 2015. Preventive effects of obesity by green tea and its components. Scientific Evidences for the Health Benefits of Green Tea. Japan Tea Central Public interest Incorporated Association, pp. 68-76.
- Wu C, Xu H, Héritier J and Andlauer W. 2012. Determination of catechins and flavonol glycosides in Chinese tea varieties. Food Chemistry 132: 144-149.
- Yao L and Xu Y. 2005. Seasonal variations of phenolic compounds in Australia-grown tea (Camellia sinensis). Journal of Agricultural and Food Chemistry 53: 6477-6483.
- Cause and Effect Relationship Among Seed and Fodder Yield Traits in Wild and Cultivated Oat
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Authors
Affiliations
1 Department of Genetics and Plant Breeding, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
1 Department of Genetics and Plant Breeding, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062, IN
Source
Himachal Journal of Agricultural Research, Vol 48, No 01 (2022), Pagination: 22-30Abstract
Present investigation was carried out during Rabi, 2018-19 to estimate cause and effect relationship among seed and fodder yield traits in eight accessions of Avena species including seven wild viz., A. barbata (HFO-58), A. orientalis (HFO-103), A. byzantina (HFO-498) and A. strigosa (HFO-505), A. byzantina (HFO-60), A. sterilis (HFO-508), A. sterilis (HFO-878) and one cultivated namely A. sativa (HJ-8). The accessions were evaluated in a randomized block design with three replications. Analysis of variance revealed significant differences among the accessions for all the traits studied. High heritability associated with high genetic advance was recorded for most of the traits suggesting the role of additive gene action. Number of tillers per plant, dry matter yield per plant, biological yield per plant, harvest index, seed length and protein content (%) showed significant association with seed yield per plant. Days to 50% flowering, leaf area, plant height, green fodder yield per plant, biological yield per plant, harvest index, seed length and 1000 gain weight had substantial direct effects on seed yield per plant. On the basis of overall performance, HFO-498 (A. longiglumis), HFO-505 (A. strigosa) and HFO-878 (A. sterilis) accessions of wild species were found to be superior over the cultivated A. sativa. Thereby, suggesting that these accessions can be utilized in oat improvement programme in near future.Keywords
correlation, oat, Avena, path analysis, variabilityFull Text
References
- Ahmad M, Zaffar G, Mir SD, Dar ZA, Dar SH, Iqbal S, Bukhari SA, Khan GH and Gazal A. 2013. Estimation of correlation coefficient in oat (Avena sativa L.) for forage yield, seed yield and their contributing traits. International Journal of Plant Breeding and Genetics 7: 188-191.
- Al-Jibouri HA, Miller PA and Robinsonn HF. 1958. Genotypic and environmental variance and covariance in an upland cotton cross of interspecific origin.
- Agronomy Journal 50: 633-636 Anonymous. 2014. Area under Fodder Production in India http://agropedia.iitk.ac.in/content-area-under-fodderproductionindia Anonymous. 2017. World agricultural production https://apps.fas.usda.gov/psdonline/circulars/ production.pdf
- Arora A, Sood VK, Chaudhary HK, Banyal DK, Kumar S, Kumari A, Khushbu, Priyanka and Yograj S. 2021.
- Genetic diversity analysis of oat (Avena sativa L.) germplasm revealed by agro-morphological and SSR markers. Range Management and Agroforestry 42(1): 38–48
- Bibi A, Shanzad AN, Sadaquatha HA, Tahir MHM and Fatima B. 2012. Genetic characterization and inheritance studies of oats (Avena sativa L.) for green fodder. International Journal of Biology, Pharmacy and Allied Sciences 1: 450-460.
- Burton G and De Vane EH. 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal 45: 478-481.
- Dewey DR and Lu KH. 1959. Correlation and path coefficient analysis of crested wheat grass seed production. Agronomy Journal 51: 515-518.
- Dubey N, Avinashe HA, Jaiwar S and Chichkhede L. 2014. Estimates of genetic variability, heritability and genetic advance of oat (Avena sativa L.) genotypes for green fodder yield. Electronic Journal of Plant Breeding 5: 881-883.
- Esmail RM. 2001. Correlation and path coefficient analysis of some quantitative traits with grain yield in bread wheat (Triticum aestivum L.). Bulletin of the National Research Centre 26(3): 395-408.
- Ezeaku IK and Mohammed SG. 2006. Character association and path analysis in grain sorghum. African Journal of Biotechnology 5: 337-340.
- Gautam SK, Verma AK, Vishwakarma SR and Azad CS. 2006. Genetic variability and association of morphophysiological characters in oat (Avena sativa L.). Farm Science Journal 15: 82-83.
- Ikeda M, Miura K, Aya K, Kitano H and Matsuoka M. 2013. Genes offering the potential for designing yield-related traits in rice. Current Opinion in Plant Biology 16: 213220.
- Jaipal PS and SS Shekhawat. 2016. Genetic variability and divergence studies in oats (Avena sativa L.) for green fodder and grain yield. Forage Research 42: 51-55.
- Jan SF, Khan MR, Iqbal A, Khan FU and Ali S. 2020. Genetic diversity in exotic oat germplasm & resistance against barley yellow dwarf virus. Saudi Journal of Biological Sciences 27(10): 2622–2631.
- Johnson HW, Robinson HF and Comstock RE. 1955. Estimates of genetic and environmental variability in soybeans. Agronomy Journal 47: 314-318.
- Kumar N, Anuragi H, Rana M, Priyadarshani P, Singhal R, Chand S, Indu, Sood V, Singh S and Ahmed S. 2021.
- Elucidating morpho-anatomical, physio-biochemical and molecular mechanism imparting salinity tolerance in oats (Avena sativa). Plant Breeding pp: 1–16 Lasztity R. 1999. The Chemistry of Cereal Proteins. CRC Press, UK, p: 336.
- Panse VG and Sukhatme PV. 1985. Statistical methods for agricultural workers. ICAR, New Delhi. P. 359.
- Sakhale SA, Mehta AK, Sawarkar SS and Patil HV. 2014. Evaluation of morphological determinants of fodder yield as selection criterion in induced mutants of oat. International Journal of Tropical Agriculture 32: 715721.
- Samonte SOBP, Wilson LT and McClung AM. 1998. Path analysis of yield and yield related traits of fifteen diverse rice genotypes. Crop Science 38: 1130-1136.
- Sood VK, Rana I, Hussain W and Chaudhary HK. 2016. Genetic diversity of genus Avena from North western-Himalayas using molecular markers. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences 86: 151-158.
- Surek H and Beser N. 2003. Correlation and path coefficient analysis for some yield related traits in rice (Oryza sativa L.) under thrace conditions. Turkish Journal of Agriculture - Food Science and Technology 27: 77-83.
- Zhou Y, Tao Y, Yuan Y, Zhang Y, Miao J, Zhang R, Yi C, Gong Z, Yang Z and Liang G. 2018. Characterization of a novel quantitative trait locus, GN4-1, for grain number and yield in rice (O. sativa L.). Theoretical and Applied Genetics 131(3): 637–648.
- Morphological characterization and evaluation of Himalayan landraces of blackgram (Vigna mungo (L.) from North-Western plain zone for yield and its component traits
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Authors
Affiliations
1 Department of Genetics and Plant Breeding, College of Agriculture,CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062,, IN
1 Department of Genetics and Plant Breeding, College of Agriculture,CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-176 062,, IN
Source
Himachal Journal of Agricultural Research, Vol 48, No 2 (2022), Pagination: 157-165Abstract
Blackgram is not only a rich source of protein, vitamins and minerals especially in the vegetarian diet but is also utilized as fodder. In any breeding and varietal development programme variability is the prime requirement to acquire favorable gene combinations in segregating generations. Keeping this in view, 23 black gram landraces were evaluated during kharif 2021 at two distinct locations viz., KVK Berthin (Location-1) and Palampur (Location-2) using Randomized Block Design (RBD) in two replications to determine the extent of morphological variation among landraces by using 18 DUS parameters as well as genetic variability. The data was recorded for 11 polygenic characters viz., days to 50% flowering, days to 75% maturity, plant height, branches per plant, biological yield per plant, harvest index, seeds per pod, pods per plant, pod length, 100-seed weight and yield per plant. On the basis of DUS characterization, these genotypes were classified into distinct groups for nine trait and may be used as reference genotypes and grouping in hybridization programs for the production of improved varieties. The analysis of variance revealed significant variations for all yield and its component traits evaluated in each environment as well as the pooled environment. In the current investigation, values of PCV were observed to be higher than GCV for all of the traits under consideration, albeit with a very minor difference, demonstrating that GCV and PCV have a tight correlation and less influence of environment on the traits under investigation. As a conclusion, attributes with a great degree of variability; a meaningful selection based on phenotype would not be misleading. High heritability was found to be associated with higher genetic advance for biological yield per plant and harvest index, demonstrating the dominance of additive gene action, thus, referring advantages selection of these traits.Keywords
Blackgram, Genetic variability, GCV, PCV, Heritability, Genetic advance.Full Text
References
- Anonymous 2018a. Corporate farming- a way to increase b l a c k g r a m o u t p u t . h t t p s : / / w w w . t h e h i n d u b u is n e ssli n e . c om / e c o n omy / a g ribuisness/Corporate-farming-a-way-to-increase blackgramoutput/article2034932.ece (31 st December 2018).
- Anonymous 2018b. data on pulses state-wise IIPR Kanpur. http://iipr.res.in/e-pulse-data-book-state-wise.html (31 st December 2018).
- Burton GW. 1952. Quantitative inheritance in grasses. 6 th International Grassland Congress 1: 277-283.
- Hozayn M, El-Habbasha SF, Abd El-Lateef EM and Abd ElMonem AA. 2013. Genetic variability in 16 exotic mungbean genotypes for late sowing under Egyptian condition. Journal of Applied Sciences Research 9: 643- 651.
- Johnson HW, Robinson HF and Comstock RE. 1955. Estimation of genetic and environmental variability in soybeans. Agronomy Journal 47: 314-318.
- Katiyar PK, Dixit GP and Singh BB. 2010. Varietal characterization of blackgram for distinctiveness, uniformity and stability. Journal of Food Legumes 23:106-109.
- Kumar R, Singh A and Rathi AS. 2000. Estimating genetic parameters in blackgram. Annals of Agricultural Research 21:335-337.
- Kumar VG, Vanaja M, Babu A, Anitha Y, Lakshmi NJ and Maheswari M. 2015. Variability, heritability and genetic advance for quantitative traits in blackgram (Vigna mungo (L.) Hepper). International Journal of Current Science 17:37-42.
- Mayank and Lal GM. 2021. Evaluation of local land races and released varieties of mungbean (Vigna radiata L.Wilczek) in Eastern plain zones of U.P. Frontiers in Crop Improvement 9: 1084-1089.
- Panda DP, Lenka D, Dash AP, Tripathy SK and Baisakh CBB. 2017. Genetic variability and heritability studies in relation to seed yield and its component traits in black gram (Vigna mungo L.). Trends in Biosciences 10:1412- 1414.
- Panigrahi KK, Mohanty A and Baisakh B. 2014. Genetic divergence, variability and character association in landraces of blackgram from Odisha (Vigna mungo [L.] Hepper). Journal of Crop and Weed 10:155-165.
- Singh AK, Biswas U, Kumar RR, Swain S and Swarnam TP. 2018. Morphological and genetic diversity among farmer’s varieties of blackgram (Vigna mungo L.) Hepper of Andaman and NicobarIslands AgroEcosystem. Legume Research 43:172-178
- Soharu Aand Pandey DP. 2019. Genetic variability for yield and its component traits in upland rice. Journal of Rice Research 12:72-73.
- Yadav OP and Dahiya BN. 2000. Contribution of some agronomic traits towards seed yield in blackgram. International Journal of Tropical Agriculture 18:291-294.
- Heterotic expression for fruit yield and component traits in intervarietal hybrids of okra [Abelmsochus esculentus (L.) Moench]
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Authors
Affiliations
1 Department of Vegetable Science and Floriculture, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-1760 62,, IN
1 Department of Vegetable Science and Floriculture, College of Agriculture CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur-1760 62,, IN
Source
Himachal Journal of Agricultural Research, Vol 48, No 2 (2022), Pagination: 225-233Abstract
Heterosis studies were conducted using 9 lines and 3 testers in a line × tester mating design at Vegetable Research Farm, CSK HPKV, Palampur (H.P.) during rainy season 2021. The results revealed HPO-1 × P-8, Kashi Vibhuti × Hisar Unnat, Palam Round × Hisar Unnat and VRO-4 × Hisar Unnat found as promising cross-combinations over better parent for fruit yield. Whereas Palam Round × Hisar Unnat, Kashi Vibhuti × Hisar Unnat and VRO-4 × Hisar Unnat were the top ranking cross-combinations exhibiting significant heterosis over Samrat (standard check 1) and Shakti (standard check 2). Palam Round × Hisar Unnat was identified as best cross-combination as it exhibited significant positive heterosis over both SC1 and SC2 for fruit yield per plant. It also displayed significant positive heterosis over SC1 for nodes per plant, plant height, average fruit weight and fruits per plant and over SC2 for average fruit weight. Hybrid vigour is available for ’ commercial production of okra hybrid and that isolation of pure lines from the progenies of heterotic F s is a 1 possible way to enhance the fruit yield.Keywords
Heterobeltiosis, Standard heterosis, Okra and Productivity.Full Text
References
- Abd El-Kader AA, Shaaban SM, Abd El-Fattah MS. 2010. Effect of irrigation levels and organic compost on okra plants (Abelmoschus esculentus L.) grown in sandy calcareous soil. Agriculture and Biology Journal of North America 1(3): 225–231.
- Babubhai SS. 2017. Line × tester analysis in okra (Abelmoschus esculentus (L.) Moench). MSc Thesis pp 78-80. Department of Genetics and Plant Breeding, Junagadh Agricultural University, Gujarat, India.
- Das A, Yadav RK, Choudhary H, Singh S, Khade YP and Chandel R. 2020. Determining genetic combining ability, heterotic potential and gene action for yield contributing traits and yellow vein mosaic virus (YVMV) resistance in okra [Abelmoschus esculentus (L.) Moench]. Pl ant Gene ti c Re sour c e s: Characterization and Utilization 18: 316-329.
- El-Sherbeny GAR, Khaled AGA, Obiadalla-Ali HA and Ahmed AYM. 2018. Estimates of heterosis and combining ability in okra under different environments. Journal of Sohag Agriscience 1: 50-64.
- Inamullah, Ahmed H, Muhammad F, Sirajuddin, Hassan G and Gul R. 2006. Evaluation of heterotic and heterobeltiotic potential of wheat genotype for improved yield. Pakistan Journal of Botany 38(4): 1159- 1168.
- Jagan K, Reddy RK, Sujatha M, Sravanthi Vand Reddy SM. 2013. Heterosis for yield and yield components in okra (Abelmoschus esculentus L.). Journal of Pharmacy and Biological Sciences 7: 69-70.
- Javed H, Aziz MA and Leghari RAK. 2009. Resistance in different okra (Abelmoschus esculentus L.) cultivars against American bollworm (Helicoverpa armigera Hub.). Journal of Agricultural Research 47: 433-438.
- Javia RM. Line × tester analysis for heterosis in okra [Abelmoschus esculentus (L.) Moench]. Asian Journal of Bio Science 8: 251-254.
- Kachhadia VH, Vachhani JH, Jivani LL, Shekhat HG and Dangaria CJ. 2011. Heterosis for fruit yield and yield components over environments in okra [Abelmoschus esculentus (L.) Moench]. Research on Crops 12: 568- 573.
- Kempthorne O. 1957. An introduction to Genetic Statistics. John Wiley and Sons, New York, pp 458-471. Kulkarni VM, Patel BR and Parihar A. 2018. Heterosis studies in okra (Abelmoschus esculentus (L.) Moench) for green fruit yield and quality parameters over the environments. Frontiers in Crop Improvement 6: 81-85.
- Makdoomi MI, Wani KP, Dar ZA, Hussain K, Nabi A, Mushtaq F and Mufti S. 2018. Heterosis studies in okra (Abelmoschus esculentus (L.) Moench). International Journal of Current Microbiology and Applied Sciences 7: 3297-3304.
- Manubhai KS. 2017. Heterosis, combining ability and stability analysis in okra [Abelmoschus esculentus (L.) Moench]. Ph D Thesis pp 236-241. Department of Genetics and Plant Breeding, Sardarkrushinagar Dantiwada Agricultural University, Jagudan, Gujarat, India.
- Medagam TR, Kadiyala HB, Mutyala G, Begum H and Krishna Reddy RS. 2012. Exploitation of heterosis for growth, earliness and yield attributes in okra (Abelmoschus esculentus (L.) Moench). International Journal of Plant Breeding 6: 53-60.
- More SJ, Chaudhari KN, Vaidya GB and Chawla SL. 2017. Estimation of hybrid vigour for fruit yield and quality traits of okra [Abelmoschus esculentus (L.) Moench] through line × tester analysis carried over environments. International Journal of Current Microbiology and Applied Sciences 6: 4101-4111.
- Neetu. 2015. Heterosis and combining ability studies on yield and quality parameters in okra [Abelmoschus esculentus (L.) Moench]. Ph D Thesis pp 99-102. Department of Horticulture, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India.
- Nonnecke IL 1989.Vegetable Production. Van Nostrand Reinhold AVI Publishing, pp608-609.
- Patel AA, Patel AI, Parekh VB, Patel RK, Mali SC and Vekariya RD. 2020. Estimation of standard heterosis over environments for fruit yield and its attributes in okra [Abelmoschus esculentus (L.) Moench]. International Journal of Chemical Studies 8: 2542-2547.
- Rajani A, Naidu LN, Reddy RVSK, Kumari NR, Srikanth D and Babu DR. 2021. Studies on heterosis for growth and yield attributing characters in okra (Abelmoschus esculentus (L.) Moench). The Pharma Innovation Journal 10: 1380-1387.
- Schippers RR. 2000. African indigenous vegetable: an overview of the Cultivated Species. Chaltham U.K. National Resources Institute A.C.D.E.U. Technical Centre for Agriculture and rural Crop, pp 105-117.
- Shaikh MD. Soyab Akhil MD. AB. Mazid. 2014. Line × tester analysis of combining ability in okra (Abelmoschus esculentus (L.) Moench). Ph D Thesis pp 301-308. Department of Botany, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
- Singh RK and Chaudhary BD. 1977. Line × tester analysis. In: Biometrical methods in quantitative genetic analysis. Kalyani Publishers, Ludhiana, pp 191-200.
- Singh SK. 2021. Heterosis and combining ability of okra [Abelmoschus esculentus (L.) Moench] through partial diallel analysis. Ph.D. thesis, pp 112-116. Department of Horticulture, Post Graduate College, Ghazipur, Uttar Pradesh, India.
- Solankey SS, Singh AK and Singh RK. 2013. Genetic expression of heterosis for yield and quality traits during different growing seasons in okra (Abelmoschus esculentus). Indian Journal of Agricultural Sciences 83: 815-819.
- Sood S, Gupta N and Sharma D. 2016. Determining relationships among fruit yield and yield components using path coefficient analysis in okra (Abelmoschus esculentus (L.) Moench). Himachal Journal of Agricultural Research 42: 143-149.
- Vani. 2015. Genetic architecture of yield and its associated traits in okra [Abelmoschus esculentus (L.) Moench] using diallel analysis. Ph D Thesis p 134-138. Department of Horticulture, Institute of Agricultural Sciences, Banaras Hindu University, Varansai, India.
- Vekariya RD, Patel AI, Modha KG and Mali SC. 2019. Study of heterosis over environments for fruit yield and its related traits in okra [Abelmoschus esculentus (L.) Moench]. International Journal of Chemical Studies 7: 484-490