Varietal Assessment, Correlation Studies and Path Coefficient Analysis in Apple in High Hill Conditions of Himachal Pradesh, India

Authors

  • P. Thakur Dept. of Fruit Science, Dr Yashwant Singh Parmar University of Horticulture and Forestry, Solan, Himachal Pradesh (173 230), India https://orcid.org/0009-0007-6468-1297
  • N. Chauhan Dept. of Fruit Science, Regional Horticultural Research & Training Station, Mashobra, Shimla, Himachal Pradesh (171 007), India
  • D. S. Thakur Dept. of Fruit Science, Regional Horticultural Research & Training Station, Mashobra, Shimla, Himachal Pradesh (171 007), India
  • P. Verma Dept. of Fruit Science, College of Horticulture, Dr Yashwant Singh Parmar University of Horticulture and Forestry, Solan, Himachal Pradesh (173 230), India
  • M. Thakur Dept. of Biotechnology, College of Horticulture, Dr Yashwant Singh Parmar University of Horticulture and Forestry, Solan, Himachal Pradesh (173 230), India

DOI:

https://doi.org/10.23910/1.2025.6440

Keywords:

Apple, variability, correlation, path analysis

Abstract

The present investigation was conducted during March, 2023-October, 2024 at Regional Horticultural Research and Training Station Mashobra, Shimla, Himachal Pradesh, India to assess varietal diversity and inter-relationships between the various traits in 30 apple cultivars.  Data was collected for physical and biochemical characters of fruits. Maximum fruit weight (184.62 g), length (7.00 cm) and breadth (7.47 cm) was recorded in variety Red Delicious, while highest fruit firmness was found in Carrol (9.15 kg cm-2). Regarding biochemical analysis highest TSS (14.77°Brix) and juice content (87.52%) was recorded in variety Honey Gold and maximum acidity (0.75%) was present in Granny Smith. Maximum ascorbic acid was found in Scarlet Spur II (6.55 mg 100 g-1) and anthocyanin content was recorded in variety King Roat (16.89 mg 100 g-1). Estimating correlations and path analysis between variables is widely used to determine how to enhance important attributes for crop quality. Fruit weight was found to be positively and significantly associated with fruit length (0.609), breadth (0.742), titratable acidity (0.255) and juice content (0.458). Path coefficient analysis revealed that various traits such as fruit length (0.504), breadth (0.304), firmness (0.013), acidity (0.199) and juice content (0.197) had positive direct effects on fruit weight, however direct negative effect on fruit weight was recorded with TSS (-0.316), ascorbic acid (-0.202) and anthocyanin content (-0.076). It was thus concluded that these physico-chemical traits used as selection indicators for increased production with high-quality apple cultivars.

Downloads

Download data is not yet available.

Downloads

Published

2025-09-13

How to Cite

1.
Thakur P, Chauhan N, Thakur DS, Verma P, Thakur M. Varietal Assessment, Correlation Studies and Path Coefficient Analysis in Apple in High Hill Conditions of Himachal Pradesh, India. IJBSM [Internet]. 2025 Sep. 13 [cited 2025 Sep. 20];19(Sep, 9):01-8. Available from: https://ojs.pphouse.org/index.php/IJBSM/article/view/6440

Issue

Section

Articles