Chief Editor:

J. S. Sandhu

Vice Chancellor, SKN Agriculture, University, Jobner, VC, NDUAT, Faizabad, Deputy Director General (Crop Science), Indian Council of Agricultural Research (ICAR), New Delhi

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MULTIVARIATE LINEAR REGRESSION ANALYSIS OF YIELD AND ITS COMPONENTS IN MUNGBEAN (VIGNA RADIATA L. WILCZEK)

Raje R.S.*, Rao S.K.

Affiliations

¹Department of Plant Breeding and Genetics J.N. Agricultural University, Jabalpur - 482 004, India

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Cite article:- R.S.* Raje, S.K. Rao (2025). MULTIVARIATE LINEAR REGRESSION ANALYSIS OF YIELD AND ITS COMPONENTS IN MUNGBEAN (VIGNA RADIATA L. WILCZEK). Legume Research. 23(4): . doi: .

ABSTRACT

Two hundred germplasm lines along with 6 commercial varieties of mungbean were evaluated over four environments for morphological characters, seed yield and its components. Multivariate linear regression analysis was carried out to determine the characters contributing seed yield/plant, biological yield/plant and harvest index. Days to maturity, plant height, cluster/plant, pods/clusters, pods/plant, pod length, seeds/pod, seeds/plant and humdred seed weight contributed mainly to seed yield/plant; days to 50% flowering, days from flowering to maturity, plant height, primary branches/plant, pods/cluster, pods/plant, pod length, seeds/pod, seeds/plant and hundred seed weight contributed mainly to biological yield/plant and days to 50% flowering, days from flowering to maturity, piant height, primary branches/plant, clusters/piant, pods/plant, pod length, seeds/pod and hundred seed weight contributed mainly towards variation in harvest index

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