ASSOCIATION AND DIVERGENCE STUDIES FOR YIELD AND ITS ATTRIBUTING TRAITS IN UPLAND COTTON
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Keywords:
Correlation, D2 analysis, Principal Component Analysis, Upland CottonAbstract
The study was executed during Kharif, 2022 to evaluate the character association and genetic
variability of yield and its associated traits in cotton. Correlation studies revealed that seed cotton
yield exhibited a substantial positive kinship with the number of bolls per plant, the number of sympodial
branches per plant, seed index, ginning out turn (GOT), and lint yield.The first three principal
components (PCs) out of the 12 PCs displayed eigen values more than one and exhibited maximum
share to total variability. The attributes that contributed a maximum portion to the total divergence
included the number of sympodia per plant, lint yield, seed cotton yield, ginning outturn percent, and
number of bolls per plant. The traits, number of bolls per plant, number of sympodia per plant, seed
index, ginning out turn, and lint yield can be utilized for direct selection for further heterosis breeding.
Based on D2 analysis the lines, L 2251 and L 2252 were found divergent and may be used in further
heterosis breeding programs.
References
Amein, M.M.M., Masri, M.I., EL-Adly, H.H and
Attia, S.S. 2020.Correlation and path
coefficient analysis for yield components
traits in egyptian cotton genotypes
(Gossypium barbadense L.). Plant
Archives. 20(2): 803-806.
Chaudhari, M., Faldu, G and Ramani, H.J.A.I.B.
Genetic variability, correlation and
path coefficient analysis in cotton
(Gossypium hirsutum L.). Advanced
Biomedical Research. 8 (6):226-233.
Cotton Corporation of India. 2023. Area,
production and productivity of cotton in
India. Retrieved from the website
(www.cotcorp.gov.in/statistics.aspx) on
12.2023.
Isong, A., Balu, P.A and Ramakrishnan, P.
Association and principal
component analysis of yield and its
components in cultivated cotton.
Electronic Journal of Plant Breeding.
(3):857–64.
Jangid, K., Sangwan, O., Sagar, C. M and
Kumar, P. 2022. Correlation and path
analysis for seed cotton yield and its
contributing traits under irrigated
conditions of Sirsa in desi cotton. Journal
of Agri Search. 9(2):129-132.
Jarwar, A. H., Wang, X., Iqbal, M. S., Sarfraz,
Z., Wang, L., Ma, Q and Shuli, F. 2019.
Genetic divergence on the basis of
principal component, correlation and
cluster analysis of yield and quality traits
in cotton cultivars. Pakistan Journal of
Botany. 51(3): 1143-1148.
Kumbhar, Z. M., Wajid Ali Jatoi, Jay Kumar
Sootaher, Muhammad Ishaque Baloch,
Adil Ali Gadahi, Kirshan Kumar
ASSOCIATION AND DIVERGENCE STUDIES FOR YIELD AND ITS ATTRIBUTING TRAITS IN COTTON
Menghwar, Muhammad Saleem Chang
and MithoKachi. 2020. Studies on
correlation and heritability estimates in
upland cotton (Gossypium hirsutum L.)
genotypes under the agro-climatic
conditions of Tandojam, Sindh, Pakistan.
Pure and Applied Biology. 9(4):2272-227.
Manonmani, K., Mahalingam, L., Malarvizhi, D.,
Sritharan, N and Premalatha, N. 2019.
Genetic variability, correlation and path
analysis for seed cotton yield
improvement in upland cotton
(Gossypium hirsutum L.). Journal of
Pharmacognosy and Phytochemistry.
(4):1358–1361.
Memon,S., Gandahi, A.W.B.N., Yasir,
T.A.,Sarki, S.M.,Wasaya, N.S., Khan,
T.M., Iqbal, M.A., Ullah, R., Bhutta, M.A.,
Ahmad, S and Ishaq, M. Z. 2022.
Assessment of yield contributing
quantitative traits in upland cotton
(Gossypium hirsutum.L). Sarhad Journal
of Agriculture. 38(1): 353-359.
Sahar, A., Zafar, M. M., Razzaq, A., Manan, A.,
Haroon, M., Sajid, S., Rehman, A., MoH,
A.M., Ren, M and Shakeel, A. 2021.
Genetic variability for yield and fibre
related traits in genetically modified
cotton. Journal of Cotton Research.
(1):1-10.
Satish, Y. 2021. Genetic diversity analysis in
American cotton (Gossypium hirsutum L.)
genotypes. The Electronic Journal of
Plant Breeding. 12(4):1448 – 1453.
Satish,Y., Rani, M.Sand Chapara, R.2020.
Correlation and path coefficient analysis
for yield and yield component traits in
upland cotton (Gossypium hirsutum L.).
International Journal of Chemical Studies.
(2): 2742-2746.
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