Estimation of correlation coefficients among seed yield and some quantitative traits in wheat (Triticumaestivum L.)

Abstract


Naeem Akhtar, Talat Mehmood, Muhammad Ahsan, Ahsan Aziz,Muhammad Ashraf, Salman Ahmad, Muhammad Asif and Ehsan Safdar

Genetic variability of quantitative traits and their contribution towards seed yield that may be used as criteria for yield improvement in wheat was investigated. Generation means analysis technique was applied to identify correlation (phenotypic and genetic) coefficients for seven quantitative traits in two wheat crosses and their reciprocals. The estimates of genetic correlation coefficients were found greater than the phenotypic one for all studied plant traits in both crosses and their reciprocals. Seed yield per plant was found positively correlated at phenotypic and genetic levels in cross V-95199 x PARI-73 and it’s reciprocal. In this cross, days to heading, peduncle length, spikelets per spike and seed yield per main spike were significantly influenced while harvest index showed negative association with seed yield per plant. The phenotypic and genetic correlation coefficients of cross Chakwal-86 x V-8060 and its reciprocal indicated that seed yield per plant had significantly positive strong association with all studied plant traits except specific flag leaf weight and days to heading. It is concluded that the inter relationship among traits both at phenotypic and genetic levels could efficiently be exploited for obtaining maximum seed yield per main spike, peduncle length, and harvest index which ultimately lead to improve crop yield.

Share this article

Awards Nomination

Select your language of interest to view the total content in your interested language

Indexed In
  • CAS Source Index (CASSI)
  • HINARI
  • Index Copernicus
  • Google Scholar
  • Sherpa Romeo
  • Open J Gate
  • EMBASE
  • Genamics JournalSeek
  • Academic Keys
  • ResearchBible
  • Airiti
  • CiteFactor
  • AGRIS
  • Open Academic Journals Index (OAJI)
  • Ulrich's Periodicals Directory
  • Access to Global Online Research in Agriculture (AGORA)
  • Electronic Journals Library
  • Centre for Agriculture and Biosciences International (CABI)
  • Directory of Research Journal Indexing (DRJI)
  • NSD - Norwegian Centre for Research Data
  • European Federation for Information Technology in Agriculture (EFITA)
  • OCLC- WorldCat
  • Advanced Science Index
  • Scientific Indexing Services (SIS)
  • Scientific Journal Impact Factor (SJIF)
  • Scholar Article Journal Index (SAIF)
  • Euro Pub
  • Universitat Vechta Library
  • Leipzig University Library
  • Max Planck Institute
  • WZB
  • ZB MED
  • Wissenschaftskolleg zu Berlin
  • Bibliothekssystem Universität Hamburg
  • PubMed
  • Portico
  • Journal Factor
  • ISEEK
  • Eurasian Scientific Journal Index
  • JournalGuide
  • Jifactor
  • AGRICOLA (National Agricultural Library)
  • EconPapers (RePEc)
  • IDEAS (RePEc)
  • RePEc
  • NASS
  • Biological Abstracts (Clarivate Analytics)
  • FSTA - Food Science and Technology Abstracts (IFIS)
  • Global Health (CABI)
  • Julkaisufoorumi Publication Forum (Federation of Finnish Learned Societies)