Morphological characterization, mean performances, character associations, divergence and disease reaction studies to augment improvement of mid-late and late maturity genotypes of Cauliflower under North-Western Himalayas

Morphological characterization, mean performances, character associations, divergence and disease reaction studies to augment improvement of mid-late and late maturity genotypes of Cauliflower under North-Western Himalayas | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Morphological characterization, mean performances, character associations, divergence and disease reaction studies to augment improvement of mid-late and late maturity genotypes of Cauliflower under North-Western Himalayas Neha ., Devinder Kumar Mehta, Ramesh Kumar, Arshia Prashar, SRISHTI . This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4849587/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Although numerous varieties have been recommended across different agro-climatic zones of Himachal Pradesh, however the information on high yielding genotypes with superior quality and disease resistance is lacking in this state. Diseases like black rot and stalk rot are the main obstacle preventing cauliflower production from being viable in Himachal Pradesh. Therefore, in this investigation, thirty genotypes of cauliflower were evaluated for morphological characters based on DUS, horticultural traits, character associations, genetic divergence and disease reaction to black rot and stalk rot to identify superior genotypes for commercial cultivation. The experiment was designed in Randomized Complete Block Design (RCBD) with three replications. The genotypes were morphologically classified based on twenty one DUS characters. This variation is useful in identification of superior genotypes for inclusion in breeding programmes or direct use as a cultivar. Mean performance of genotypes for various traits disclosed that genotype Pusa Himjyoti recorded the highest marketable curd yield/hectare and genotypes Snowball Super, White Heart, UHF-CAU-1, Early Snowball, UHF-CAU-4, UHF-CAU-8 and KT-18 were determined to be statistically at par with Pusa Himjyoti. All these genotypes have white to snow white curd with self- blanching habit. High heritability along with moderate genetic advance as per cent of mean was showed for net curd weight confirming the occurrence of additive gene action. Correlation coefficient discovered that the number of leaves/plant, plant spread, curd polar diameter, curd equatorial diameter, curd size index, curd solidity, gross plant weight and net curd weight were found to be significantly and positively correlated with marketable curd weight. The maximum positive direct effect on marketable curd weight was contributed by curd equatorial diameter followed by curd polar diameter, net curd weight, curd solidity and number of leaves/plant. Thus, perfection in these traits will lead to higher yield in cauliflower. The D 2 analysis grouped the genotypes into three clusters consists maximum genotypes in cluster II. The genotypes were divided into three clusters by the D 2 analysis, with cluster II having the highest genotypes. Gross plant weight (32.00%), net curd weight (18.16%), plant height (8.33%) and marketable curd yield (8.21%) were identified as significant traits contributing to divergence. In case of disease reaction studies, no genotype was found resistant to stalk rot but in case of black rot, only one genotype White Heart was found resistant whereas Snowball Super and PSBK-1 showed moderately resistant reaction. Biological sciences/Genetics Biological sciences/Plant sciences Health sciences/Pathogenesis association black rot diversity morphological traits screening stalk rot Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Full Text Additional Declarations No competing interests reported. Tables 1-15 are available in the Supplementary Files section. Supplementary Files RawData.xlsx Tables1.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4849587","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":351665063,"identity":"16e79091-2ce9-49cb-b06b-20ae499e3857","order_by":0,"name":"Neha .","email":"","orcid":"","institution":"University of Horticulture and Forestry","correspondingAuthor":false,"prefix":"","firstName":"Neha","middleName":"","lastName":".","suffix":""},{"id":351665064,"identity":"9956f55d-a5ed-46a8-9081-2a6431bb24f5","order_by":1,"name":"Devinder Kumar Mehta","email":"","orcid":"","institution":"University of Horticulture and 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Diseases like black rot and stalk rot are the main obstacle preventing cauliflower production from being viable in Himachal Pradesh. Therefore, in this investigation, thirty genotypes of cauliflower were evaluated for morphological characters based on DUS, horticultural traits, character associations, genetic divergence and disease reaction to black rot and stalk rot to identify superior genotypes for commercial cultivation. The experiment was designed in Randomized Complete Block Design (RCBD) with three replications. The genotypes were morphologically classified based on twenty one DUS characters. This variation is useful in identification of superior genotypes for inclusion in breeding programmes or direct use as a cultivar. Mean performance of genotypes for various traits disclosed that genotype Pusa Himjyoti recorded the highest marketable curd yield/hectare and genotypes Snowball Super, White Heart, UHF-CAU-1, Early Snowball, UHF-CAU-4, UHF-CAU-8 and KT-18 were determined to be statistically at par with Pusa Himjyoti. All these genotypes have white to snow white curd with self- blanching habit. High heritability along with moderate genetic advance as per cent of mean was showed for net curd weight confirming the occurrence of additive gene action. Correlation coefficient discovered that the number of leaves/plant, plant spread, curd polar diameter, curd equatorial diameter, curd size index, curd solidity, gross plant weight and net curd weight were found to be significantly and positively correlated with marketable curd weight. The maximum positive direct effect on marketable curd weight was contributed by curd equatorial diameter followed by curd polar diameter, net curd weight, curd solidity and number of leaves/plant. Thus, perfection in these traits will lead to higher yield in cauliflower. The D\u003csup\u003e2\u003c/sup\u003e analysis grouped the genotypes into three clusters consists maximum genotypes in cluster II. The genotypes were divided into three clusters by the D\u003csup\u003e2\u003c/sup\u003e analysis, with cluster II having the highest genotypes. Gross plant weight (32.00%), net curd weight (18.16%), plant height (8.33%) and marketable curd yield (8.21%) were identified as significant traits contributing to divergence. In case of disease reaction studies, no genotype was found resistant to stalk rot but in case of black rot, only one genotype White Heart was found resistant whereas Snowball Super and PSBK-1 showed moderately resistant reaction.\u003c/p\u003e","manuscriptTitle":"Morphological characterization, mean performances, character associations, divergence and disease reaction studies to augment improvement of mid-late and late maturity genotypes of Cauliflower under North-Western Himalayas","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-10-11 06:49:37","doi":"10.21203/rs.3.rs-4849587/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"fa9d53a6-7276-4133-972e-db4b58d27863","owner":[],"postedDate":"October 11th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":37343084,"name":"Biological sciences/Genetics"},{"id":37343085,"name":"Biological sciences/Plant sciences"},{"id":37343086,"name":"Health sciences/Pathogenesis"}],"tags":[],"updatedAt":"2025-04-19T04:23:16+00:00","versionOfRecord":[],"versionCreatedAt":"2024-10-11 06:49:37","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4849587","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4849587","identity":"rs-4849587","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}