No abstract

Honey is known for its dietary as well as medicinal uses in India. India was leading the global honey business till the colonial rule took over the honey into its hands. The beehives were traditionally harvested till 19th century and Europeans as well as British introduced beekeeping in India. Since then, beekeeping has become another way of livelihood for the rural communities and tribes. However, the activity remains unorganized for various reasons including logistics and migration. Gradually, National Bee Board was established and recently National Beekeeping and Honey Mission is launched. It is estimated that more than 5 lakh farmers / beekeepers are associated with the honey production in this country. The data on the volume and value of honey is still missing therefore an attempt has been made in this paper by using the top to bottom approach. This data would help the traders as well as the government to focus on the financials of honey trade.

An investigation was undertaken to identify early maturing sugarcane genotypes for higher sugar yield at the Research Farm of DRPCAU, Pusa, Samastipur, Bihar during the spring season of 2018, the experiment was carried out in Randomized Block Climate change is expected to have important consequences for sugarcane production in the world, especially in the developing countries because of relatively low adaptive capacity, high vulnerability to natural hazards, and poor forecasting systems and mitigating strategies. Sugarcane production may have been negatively affected and will continue to be considerably affected by increases in the frequency and intensity of extreme environmental conditions due to climate change. Design with three replications. Correlation and path analysis in twelve genotypes of sugarcane for twenty one different morphological and juice quality characters were studied in relation to the checks viz. CoLk94184 and CoSe95422. Analysis of correlation revealed that the character sugar yield had highly positive genotypic correlation with traits number of millable canes at harvest (0.977), followed by cane yield at harvest (0.963). However, it was negatively correlated with purity percentage at the 8th month stage (-0.491), cane diameter at harvest (-0.363), number of internodes at harvest (-0.263), length of internodes at harvest (-0.081) and fibre percentage at harvest (-0.039). The trait cane yield at harvest (0.955**) was found to have a highly significant and positive phenotypic association, followed by single cane weight at harvest (0.820**) and germination percentage at 45 DAP (0.510**).On the other hand, it was found that the traits cane diameter at harvest (-0.236), number of internodes at harvest (-0.151) and length of internodes at harvest (-0.099) had non-significant negative phenotypic associations with sugar yield. Positive direct effect on sugar yield at phenotypic level was exerted maximally by cane yield at harvest (t/ha) (1.51) followed by CCS percentage at 10th month stage (0.29) and pol in juice at 10th month stage (0.21), germination Percentage at 45 DAP (%), cane diameter (cm) and length of internode (cm), whereas at genotypic level maximum positive direct effect was observed in the case of pol percentage in cane at harvest followed by single cane weight (kg) and brix percentage at 10th month.

Sugarcane is an important cash crop of the entire world including India. It alone contributes to 75% of the worldwide sugar trade. Molecular markers are powerful tools and provide the basis for the estimation of genetic variability to start reasonable breeding program. Microsatellite markers have unique ability to determine the extent of genetic divergence among sugarcane genotypes. The objective of this study was to evaluate the genetic divergence of 12 early maturing sugarcane clones using 11 SSR markers. A total 55 alleles were found during the amplification of the primers out of which 21 alleles were found unique and 34 alleles were shared. The number of shared alleles per locus ranged from two out of five alleles in the case of primer NKS 1 and nine out of ten alleles in NKS 34. Similarly no. of unique alleles per locus ranged from one out of ten alleles in NKS 34, three out of six alleles in NKS 57. The primer pairs NKS 1 and NKS 8 generated considerably greater percentage of unique alleles. The PIC values revealing allelic diversity and frequency among the genotypes varied from 0.034 in case of NKS 48 to 0.778 in case of NKS 9 with an average of 0.549. Pair-wise combinations of CoSe15451 and CoSe15452 showed the highest similarity with the value of similarity coefficient (0.890). The lowest value of similarity coefficient was found to be 0.490 in the pair CoBln15501 and CoSe01421. The dendogram based on SSR marker analysis grouped the 12 sugarcane clones into four clusters which shows the CoSe15451 and CoSe15452 clones had maximum similarity and CoBln15501 and CoSe15452 clones had maximum diversity between each other.