Selection of F1 mulberry (Morus indica) genotypes for optimal and sub-optimal input conditions based on leaf yield, quality, and yield attributes

Key message

Superior F₁ mulberry genotypes with high leaf yield, quality, and moderate to high stability were identified for optimal and sub-optimal input conditions.

Abstract

Mulberry (Morus spp.) is a highly heterozygous, perennial tree widely grown for its foliage to feed monophagous silkworms (Bombyx mori L.) and fruits for human consumption across the globe. The present study evaluated twenty-one F₁ mulberry genotypes for the selection of superior ones based on leaf yield, yield attributes, leaf quality, and stability over two years under optimal and sub-optimal input (irrigation and fertilizer) conditions. Based on pooled data analysis over four crop seasons, it was found that six mulberry genotypes, D16, D21, D22, D23, D28, and D67, had leaf yields (663–840 g/plant) statistically similar to or better than the Vishala check (663 g/plant) under optimal conditions. Similarly, under sub-optimal conditions, seven genotypes, D16, D21, D22, D23, D24, D28 and D34, showed significantly higher leaf yields (418–596 g/plant) than Vishala (415 g/plant). The δ¹³C (a surrogate trait of water-use efficiency) of five mulberry genotypes, D16, D21, D24, D28, and D34, varied from – 28.21 to – 28.98 and was similar to the AGB8 check (– 28.87). Total soluble sugar, protein, chlorophyll content, and the silkworm moulting percentage and single larval weight for the seven genotypes D16, D21, D22, D23, D24, D28, and D34 were statistically similar to or better than Vishala under both optimal and sub-optimal conditions. The additive main effects and the multiplicative interaction-based simultaneous selection index showed that these seven genotypes had moderate to high stability and high leaf-yielding ability over the seasons under both optimal and sub-optimal conditions. DNA fingerprint profiles of these selected genotypes have been developed for their molecular identification. Under this context, these seven genotypes might be further tested under advanced evaluation trials to identify the best one regarding leaf yield and quality under optimal and sub-optimal conditions.