Correlation coefficient analysis for fruit yield and its component traits in Okra (Abelmoschus esculentus (L.) (Moench)
Aditi Sharma, Vijay Bahadur, Nikhil Singh, Praveen Choyal, Netrapal Pal Yadav
Abstract
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Aditi Sharma, Vijay Bahadur, Nikhil Singh, Praveen Choyal, Netrapal Pal Yadav
Abstract
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Twenty five diverse genotypes of okra were evaluated at the Horticulture Research Farm, Department of Horticulture, Naini Agricultural Institute, SHUATS, Allahabad. The experiment was conducted in Randomized Block Design having 25 (genotypes) in three replications. The allocations of the treatments of the individual plots were using random number in each replication.In the present investigation, 25 genotypes have been grown in the kharifseasons of 2016. Fruit yield per plot (kg) showed significant and positive correlation with fruits/plant, fruit weight (g) and leaves/plant while it showed non-significant and positive correlation with while it showed non-significant and positive correlation with fruit yield per plant, first flowering node, branches/plant, days to first flowering and days to 50% flowering.
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Twenty five diverse genotypes of okra were evaluated at the Horticulture Research Farm, Department of Horticulture, Naini Agricultural Institute, SHUATS, Allahabad. The experiment was conducted in Randomized Block Design having 25 (genotypes) in three replications. The allocations of the treatments of the individual plots were using random number in each replication.In the present investigation, 25 genotypes have been grown in the kharifseasons of 2016. Fruit yield per plot (kg) showed significant and positive correlation with fruits/plant, fruit weight (g) and leaves/plant while it showed non-significant and positive correlation with while it showed non-significant and positive correlation with fruit yield per plant, first flowering node, branches/plant, days to first flowering and days to 50% flowering.
Key concepts: Abelmoschus, Randomized block design, Horticulture, Biology, Path coefficient, Yield (engineering), Forensic science, Non-invasive ventilation