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Genetic divergence and correlation estimates for quantitative traits in Salix

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Abstract

The study was conducted to estimate the genetic variability and stability in the performance of different Salix clones for important morpho-physiological traits contributing towards biomass production. After initial screening under nursery conditions, twenty-eight Salix clones were selected and planted in the field conditions of Punjab, India using Randomized Complete Block Design in 2019. On the basis of mean performance, clones PN-731, UHFS-119, UHFS-85, UHFS-101, NZ-1140, UHFS-340 and UHFS-141 were found outstanding for morphological and physiological traits and were superior to the check clone (Kashmir willow) and had witnessed maximum growth increment. Clones UHFS-85 and UHF-101 revealed stability in the growth performance during early two years of field testing along with highest index score (24 and 21, respectively), therefore, can be recommended for higher biomass production. However, clones UHFS-119, PN-731, NZ-1140, UHFS-340 and UHFS-141 with high index score and increasing pattern in growth may be evaluated further for stability and concerned end use. High heritability and genetic gain were observed for plant height, leaf area, volume index, number of branches, number of leaves, carotenoid content and number of stomata, which suggests that the clonal selection would be most effective for these traits. Highly significant genotypic and phenotypic correlation was evident for plant height with basal diameter, volume index with plant height and basal diameter and total chlorophyll with chlorophyll a and carotenoid content; may be taken into consideration while doing indirect selection for the associated character. Similarly, the genetic divergence analysis revealed that the clones present in cluster I, II and III are highly diverse and may be involved in future breeding programmes.

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Authors and Affiliations

  1. Department of Forestry and Natural Resources, College of Horticulture and Forestry, Punjab Agricultural University, Ludhiana, 141004, Punjab, India

    Gaurav Palial, Sapna Thakur & Ashok Kumar Dhakad

  2. Department of Botany, College of Basic Sciences, Punjab Agricultural University, Ludhiana, 141004, Punjab, India

    Rajni Sharma

  3. Department of Tree Improvement and Genetic Resources, College of Forestry, Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Nauni- District, Solan, 173230, Himachal Pradesh, India

    Jai Pal Sharma

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  1. Gaurav Palial
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  2. Sapna Thakur
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  3. Rajni Sharma
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  4. Jai Pal Sharma
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  5. Ashok Kumar Dhakad
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Correspondence to Sapna Thakur.

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Palial, G., Thakur, S., Sharma, R. et al. Genetic divergence and correlation estimates for quantitative traits in Salix. Acta Physiol Plant 45, 99 (2023). https://doi.org/10.1007/s11738-023-03573-0

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  • DOI: https://doi.org/10.1007/s11738-023-03573-0

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